Abstract
Transgenic mouse models have facilitated research of human diseases and validation of therapeutic approaches. Inclusion of optical reporter genes (fluorescent or bioluminescent genes) in the targeting vectors used to develop such models makes in vivo imaging of cellular and molecular events possible, from the microscale to the macroscale. In particular, transgenic mouse models expressing optical reporter genes allowed accurately distinguishing immune cell types from trafficking in vivo using intravital microscopy or whole-body optical imaging. Besides lineage tracing and trafficking of different subsets of immune cells, the ability to monitor the function of immune cells is of pivotal importance for investigating the effects of immunotherapies against cancer. Here, we introduce the reader to state-of-the-art approaches to develop transgenics, optical imaging techniques, and several notable examples of transgenic mouse models developed for immunology research by critically highlighting the models that allow the following of immune cell function.
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Introduction
Immune cell function has always been found to be influenced by the tissue microenvironment. An in vivo immune response relies on the presence of a tissue environment that allows for pathogen entrapment, processing and presenting of antigens, [1,2,3, 13] immune cell priming [4,5,6], or modulation. [7,8,9,10,11,12,13] On the contrary, in an in vitro setting, immunogenic responses are proportional to the degree of the administered stimuli or environmental cues that they are exposed to. Interestingly, the expected outcomes noted in tumor immunology studies can show contrasting results when tested in vivo, [14,15,16] the primary reason being the absence of innumerable peripheral or tissue-associated immune-modulatory entities. Thus, the true nature of interactions and induced response within an immune-oncological setting can be reported precisely when studied in vivo.
Using transgenic (TG)Footnote 1 mice as a model for biomedical research has its advantages. As highlighted in the 2002 Mouse Genome Sequencing Consortium, mice and humans share "78.5 %" of amino acid identity within their orthologous genes, supported by a corresponding "90 %" of genomic synteny between them. [17] Secondly, the possibility to selectively cross TG mice, which leads to conditional gene inactivation, allows the progeny to express the desired gene of interest. Genetic manipulations during the early developmental stage, may it be gene insertion, deletion, or modification, render the previously modulated gene resistant against immune recognition and activation in the later adult stage of TG mice. This ensures for stable foreign gene integration or expression in future generations.
Real-time in vivo imaging has facilitated the visualization of distinct pro-tumoral or anti-tumoral behavior of immune cells in mouse models of cancer. To state a few are tumor-associated macrophages (TAM) for silencing tumor-infiltrating CD8 + T cells, [18] natural killer (NK)Footnote 2cells clearing pulmonary metastasis of anaplastic thyroid cancer cells, [19] the pro-metastatic role of neutrophils, [20] and immunosuppressive activity of tumor-derived dendritic cells, [21] revealing the pathway activating a humoral immune response in a melanoma model [22] and contribution of stromal cells in navigating metastasis. [23,24,25] Due to their small size, whole-body optical imaging of the TG mice is possible as well as visualization of a low number of cells. [26] Notably, bioluminescence and fluorescence in vivo imaging, along with optical tomography modalities, rendered in vivo imaging to be highly sensitive, [27,28,29] with an additional advantage of being able to employ safe non-ionizing radiation. Lastly, along with the abovementioned characteristics, optical imaging is considered a medium throughput and cost-effective modality compared to magnetic resonance imaging (MRI) or positron emission tomography (PET). In this review, we highlight transgenic mouse models that, by means of in vivo imaging, contribute to the understanding of immune cell function in health and disease.
Reporter Gene Knock-in Transgenic Mouse Models
Constitutive Knock-in
TG mouse models represent ideal models to study basic cancer research and translational oncology, which has been reviewed meticulously in previous studies. [30,31,32] Such targeted mouse transgenesis mirrored features involved in immune responses, [33,34,35] cancer progression, [36,37,38] stroma, [39, 40] and pharmacokinetics [41,42,43,44,45] as observed in humans. A comprehensive overview of different techniques involving TG mouse generation is discussed in the work of Tratar et al. [46] Out of multiple techniques for generating TG mouse models, here we discuss transgenesis techniques involved in generating gain of function mutation. Briefly, constitutive knock-in mouse models are generated by homologous recombination of a targeted vector or due to random integration of a target cassette within the mouse genome upon transfection (Fig. 1). This modified vector is then introduced into the early embryonic cells via microinjection or viral transduction. [47,48,49,50] Random integration might elevate the chances of unwanted gene silencing or unregulated gene expression, reducing the desirability of this model. On the other hand, it may result in multiple integration sites and higher expression of the reporter. The vectors usually contain a strong constitutive promoter or a tissue-specific one to restrict expression in certain organs. More recently, there has been an increased interest in a gene editing-based knock-in approach that utilizes the CRISPR-CasFootnote 3 (clustered regularly interspaced short palindromic repeats-cellular apoptosis susceptibility) system. The CRISPR-Cas system involves a nucleoprotein complex which consists of a single-guide RNA (sgRNA) sandwiched within a CAS nuclease protein (most commonly Cas9) or co-transfecting multiple sgRNA along with plasmids expressing CAS [51] or Cas9 mRNA [52] into early embryonic cells. This sgRNA is specific and complementary to the gene of interest. Within the host nuclei, this system scans the genome locus in search of the complementary sequence, which, upon recognition by Cas9 nuclease, makes a double-strand break in a specific protospacer adjacent motif (PAM) site near the complementary sequence, allowing gene editing. [53, 54] These DNA double-strand breaks are further repaired by non-homologous end joining (NHEJ) or homology-directed repair (HDR) pathway. The latter is necessary for gene addition through homologous recombination and the generation of knock-in models (Fig. 1). The reporter genes are then expressed at the endogenous level if the sequence is inserted in tandem with another endogenous gene. On the other end, a cassette can be knocked-in to a specific locus, like the Rosa26 (reverse orientation splice acceptor) locus. [55] Kersten et al. [30] underlined different subtypes of CRISPR-Cas9 systems developed by multiple groups, discussing the different CRISPR-Cas9 subtypes for inducing gene-specific point mutations, translocations, and insertions. Due to its high efficiency, target specificity, versatility, and cost-effectiveness, CRISPR-Cas9 has rapidly become the most favored approach for generating TG mice. [56]
State-of-the-art technologies and approaches for development of transgenic mouse models. Constitutive knock-in mouse models are generated using a target vector carrying gene of interest into the early mouse embryonic cells. Within the mouse genome, the integration of the target vector might occur randomly or through induced homologous recombination. Conditional knock-in mouse models where expression of gene of interest occurs at a specific time or tissue are involved in the majority of cases using the Cre-loxP system. Cyclization recombinase (Cre) recognizes specific DNA recognition sites (LoxP sites) and catalyzes a site-specific recombination event between those two sites.
Conditional Knock-in
In order for a more controlled, site-directed manipulation, this requires a conditional knock-in approach. Conditional manipulation involves the Cre-loxP system. Cyclization recombinase (Cre)Footnote 4 recognizes specific DNA recognition sites (LoxP sites) and catalyzes a site-specific recombination event between those two sites. Other specific recombinases are flipase (Flp) and D6-specific recombinase (Dre), which demonstrate lower recombination efficiency compared to Cre. In a common application, the gene of interest to be silenced is floxed by loxP gene segments present in the first parent mice. At the same time, the Cre recombinase gene is inserted downstream of a tissue-specific promoter in the second parent mice (Fig. 2). Pups generated from crossing parent mice acquire a tissue-specific promoter-driven Cre recombinase. Expressed Cre then tracks down loxP (locus of X-over P1) sites. Identification of the loxP sequence triggers recombinase activity and so cleaving the entire loxP-floxed gene segment. This gene removal referred as conditional silencing makes the progeny TG. [57] As an alternative, a loxP-STOP-codon-loxP can be inserted upstream of the gene of interest. That tissue-specific, promoter-driven expression can remove the floxed STOP codon. This in turn would allow for the gene of interest to be expressed, which was earlier unexpressed in the parental generation. [57] To highlight, an improved Cre recombinase mutant (iCre) being a codon-optimized version displays improved expression and accuracy. [58] A more regulated version of Cre-loxP system, namely Cre-ERT, was developed by Feil et al. [59] It consists of a Cre recombinase integrated with a mutated ligand-binding domain of the estrogen receptor. Only after administration of tamoxifen (estrogen analog) and its binding to the altered Cre-recombinase can it pass through the nuclear envelope and spatiotemporally perform targeted restriction. [59, 60]
In Vivo Optical Imaging
In vivo optical imaging relies on the detection of luminescent signals reaching the surface of the imaging object using sensitive light detectors as charge-coupled device (CCD) cameras or photomultiplier tubes. [61, 62] In most of the applications, photons are generated by a chemiluminescent reaction, as in the case of luciferase enzymes, or by a fluorescent protein. In fact, both the luciferases and fluorescent proteins can be utilized as reporter genes for developing transgenic mice making them available for imaging purpose. Note that reporter genes for other imaging modalities exist as for examples for radionuclide imaging (from which Cerenkov luminescence can be generated depending on the radiometal used), optoacoustic imaging, and magnetic resonance imaging but their use for the development of transgenic mice is rather limited. The main difference between fluorescent proteins and luciferases is that fluorescent proteins require an excitation light source while luciferases catalyze the reaction of a substrate and cofactors emitting photons as a reaction product. [61, 62] Since the light emission differs in intensity between fluorescence and luminescence, the general setup for fluorescent and bioluminescent signal acquisition might differ too, in order to optimize the resolution or detection sensitivity. [63] In addition, multiple lasers assisted excitation and light collection using emission filters paves the way to achieving multicolor imaging. [63, 64] In vivo imaging can be performed as a whole-body optical imaging or targeting a specific location through intravital imaging.
Whole-Body Imaging
Whole-body optical imaging is non-invasive and employs sensitive cameras for light detection. They are mounted on the top of a black box which contains a heat-regulated platform for animals to be placed. In order to perform fluorescence, the instruments are equipped with lasers or with multiple optical filters that are placed in front of a lamp and are used as a light excitation source. [63] In addition to that, a filter wheel in front of the detector is inserted for selecting optimal emission wavelengths. Multiple whole-body optical imaging instruments allow detection of fluorescence or chemi-/bioluminescence. Whole-body imaging can reach 20-µm resolution and a degree of sensitivity that allows single cells to be imaged. However, it is mainly employed to visualize multiple cells expressing fluorescent or bioluminescent reporter proteins. [62, 63] Cells localized in both superficial and deep tissue can be imaged with enough resolution depending on the brightness of emitted signals, on the ability to excite the fluorescent proteins at a depth of several millimeters, and lastly on the background light generated. In general, due to high absorption and scattering of UV/visible light by mammalian tissue, green and red photons can be detected only superficially acting as a drawback for its use in deep tissue imaging. In contrast, near-infrared-emitting proteins can be visualized in deeper organs with a compromise of image resolution. [61, 62]
Intravital Imaging
Intravital imaging is an invasive optical imaging technique which employs mountable transparent imaging window chambers that can be fixed in different parts of the animal. [65,66,67] The imaging window allows optical fibers to excite and convey light to the detectors. [68] With these settings, intravital imaging achieves cellular or even sub/cellular resolution in vivo. [65, 67] The main advantage of intravital imaging is that intercellular interactions can be visualized and studied in the original microenvironment. Intravital microscopy (IVM)Footnote 5 is performed using several light microscopy techniques like wide-field fluorescence, multiphoton, or confocal. Furthermore, operative robustness of window chamber allows imaging to be performed in the same animal repeatedly. On the other hand, intravital endoscopy, as confocal laser scanning microscopy which employs an optical fiber, is a minimally invasive technique that has enabled in vivo, real-time microscopic tissue visualization. [68, 69] The flexibility of the optical fiber makes the confocal microscopy accessible to the region to image in vivo without losing its optical sectioning and high resolution. Intravital imaging has been extensively adopted for imaging fluorescent cells in transgenic mice and recently has also been adapted to image low light generated by chemiluminescence. [70] On the other side, respiration or heartbeat-induced periodic tissue moment might compromise the resolution and cause image shift of the examined region. [71]
Cryo-fluorescence Imaging and Tomography
As most of the TG mouse models possess fluorescent reporter genes, performing ex vivo imaging can illuminate the morphofunctional features of the imaged tissue. One such example of ex vivo imaging is cryo-fluorescence imaging. In this modality, vitrified (ultra-rapidly cryopreserved) and sectioned tissues are imaged using fluorescent microscopy. To add, 2D (dimensional) ex vivo data can be visualized in 3D using cryo-fluorescence tomography. This can be achieved by sectioning an entirely vitrified mouse in a frontal, transverse, or sagittal plane followed by fluorescent imaging of each tissue section. Imaged tissue sections are then stacked and aligned using software to develop a whole-body 3D image of the body. The tissue specimen being cryo-immobilized is advantageous as, first, it exhibits a near-native tissue state, rendering ultrastructural resolution at a cellular level when tagged by fluorescent molecules. Second, the fluorophores being frozen have a reduced tendency towards photobleaching, thus increasing the half-life of the fluorophore and emitted photons. [72] An overview of prospects and limitations surrounding cryo-fluorescence imaging can be found in the review of Kaufmann et al. [73]
Transgenic Mouse Models for Imaging Immune Cell Function
The last two decades have provided a significant research output in the field of non-invasive, real-time optical imaging of model organisms. While the equipment, techniques, and probes were upgraded for in vivo imaging, so were the gene manipulation techniques involved in the generation of TG reporter mice. There is an abundance of available TG reporter mouse models that are used for imaging different immune cell subsets. To highlight, some examples are the developments of transgenic mice that are useful for cell lineage tracing or cell trafficking related to monocytes, [74,75,76,77] regulatory T cells, [78,79,80] macrophages, [81] microglia, [82] and interestingly megakaryocytes and platelets. [83] Although those TG reporter models are valuable for in vivo imaging, in this review, we will focus on examples of TG mouse models that report specific immune cell function or report the function of an immunogenic modulator by means of in vivo imaging (compiled in Table 1).
Transgenic Mouse Models for Monitoring T Cell Function
Non-invasive in vivo imaging not only captures the uninfluenced intercellular interactions but also indicates the cellular kinetics and localization of the said cells. The latter might be of great value when studying immune cell infiltration in tissue grafts. To accomplish this, a transgenic color-coded T cell reporter mouse model was developed by Fan et al. [84]
The transgenics involved crossing of Foxp3-EGFPFootnote 6 knock-in regulatory T cell mice [85] with DsRedFootnote 7-TG mice. [86] The pups generated expressed Foxp3-EGFP*DsRed transgene. [84] Optically, the authors could distinguish the allograft infiltrated T cell subset using endoscopic confocal microscopy. Intravital examination was conducted in the recipient mouse post-transplantation of naïve regulatory T cells (nTreg)Footnote 8 and Foxp3−ve effector T cells (Teff)Footnote 9 following islet engraftment. The former nTreg isolated from Foxp3-EGFP knock-in mice was seen (DsRed−ve GFP+ve), while the other, Teff isolated from DsRed-TG mice, was observed (DsRed+ve GFP−ve). Lastly, when the engrafted mice, transplanted with Teff (red) and nTreg (green), were assessed under a tolerance-inducing protocol (treated mice), antigen activated nTreg reprogrammed to Foxp3 and DsRed double-positive iTreg (Foxp3+ve GFP+ve DsRed+ve), which were identifiable as yellow cells. On the other hand, periodic examination of the tissue grafts with a minimally invasive endomicroscope revealed an exponential increase in Teff (red) cells with no significant nTreg (green) infiltrating engrafted islets.
In order to reveal the homeostatic regulating capabilities of Tregs, Suffner et al. developed bacterial artificial chromosome (BAC)Footnote 10 TG mice, Foxp3.LuciDTR. [87] The transgenics involved the generation of a construct that incorporated EGFP, human DTR, and click beetle green luciferase (CBG99)Footnote 11 cDNA. This series of genes was driven by an upstream Foxp3 promoter sequence. The cDNAs were separated by a self-cleaving 2A peptide sequence, for independent translation and protein folding. Foxp3 promoter drives the expression of EGFP fluorescence, CBG99 bioluminescence (in the presence of luciferin), and lastly DTR expression. The encoded DTR, when expressed, translates to a diphtheria toxin (DT)-specific receptor, which, in the presence of DT, can ablate regulatory T cells within those TG mice. This was evident by a significant reduction in emitted bioluminescent signal. [87]
Furthermore, to investigate the emigrational dynamics of induced natural killer T cells (iNKT) using real-time IVM, Thanabalasuriar and colleagues [88] developed the B6.CXCR6GFP+ TG mice. For IVM, TG mice were surgically implanted with a vacuum-stabilized lung optical window. While the lung vasculature was labeled red with tetramethylrhodamine isothiocyanate (TRITC)-dextran, iNKT cells were visible as green by marking them through PBS-57 ligand-conjugated CD1d tetramer. Using this model, the authors could not only distinguish temporal information but also note the CXCR6GFP+ cell (iNKT) emigrational characteristics, such as crawling, tethering, or being stationary in and around the lung vasculature. To recapitulate a more in vivo like iNKT cell activation and migrational dynamics, the authors challenged the mice with alpha-galactosylceramide (synthetic glucolipid immunostimulant). The iNKT activation gave an insight into how these cells crawled, extravasate, and changed their morphology with respect to time.
Szyska et al. applied a bioluminescence reporter system in order to generate dual-luciferase mice that reported T cell function and localization. They named it bioluminescence imaging of T cell (BLITC) TG mice. [89] These TG mice were a cross product between ChRLuc mice [90] and nuclear factor of activated T cell (NFAT)Footnote 12-driven click beetle red luciferase (CBR)Footnote 13 TG mice. The former ChRLuc mice possessed sustained expression of Renilla luciferase (RLuc). The latter NFAT-CBR mice comprised an artificial NFAT-responsive, promoter-driven, CBR construct which also possessed necessary viral elements allowing stable insertion into the C57BL/6NCrl mouse genome. Crossing the abovementioned TG mice generated RLuc+/+ NFAT-CBR+/+ pups. Sustained RLuc expression in the presence of coelenterazine substrate generated a bioluminescent signal exhibiting T cell migration. On the other hand, stimulant-driven T cell activation induced NFAT expression, giving T cells a CD8-positive status. Thus, NFAT induction in turn allows CBR expression, which, in the presence of a D-luciferin substrate, emits bioluminescence of a specific wavelength, allowing activated T cells to be recognized.
As a result, the optimal traceability of these dual-luciferase T cells was only observable when adoptively transferred in recipient mice, the reason being extensive RLuc expression from precursor cells with coelenterazine, [90] associated in a high background signal in BLITC mice.
In the following year, a TG reporter mouse, named TbiLuc, was generated by Klenovink et al. [91] Strategically, the TG modulation involved a bicistronic construct. The construct comprised two cassettes separated by an insulator. The first cassette contained a red-emitting firefly luciferase (PpyRE9) downstream of three repetitive NFAT response elements. The second cassette consisted of CBG99 luciferase mutant downstream of the human CD2 promoter. Microinjecting this construct into the pronuclei of a fertilized CBA*C57BL/6 mouse oocyte produced TbiLuc pups. Functionally, these dual luciferases were unlike those in BLITC mice. The human CD2 promoter drives CBG99 expression, which, in the presence of D-luciferin, allows for T cell localization, while the induced NFAT response element driving PpyRE9 luciferase expression, in the presence of luciferin substrate (CycLuc1), generates a distinct luminescence signal that distinguishes activated T cells and NK cells apart from their naïve T cell subtype.
Transgenic Mouse Models to Monitor: Chemokines
Cytokines are a group of cell signaling molecules that play an important role, not only as key inflammatory modulators, but by also regulating metabolism, cell proliferation, angiogenesis, and wound healing. By binding to their specific receptors, they act as an agonist (relaying a stimulatory signal towards the nucleus) or as an antagonist (relaying an inhibitory signal) affecting cell metabolism and functionality. Furthermore, they can regulate cell activity in a paracrine (one cell communicating with another) or in an autocrine (self-stimulating cell) manner. Sharing the same origin, interleukins (meaning inter, within; and leukin, leukocytes) are a group of cytokines that focus mainly on immune and inflammatory stimuli while chemokines are cytokines that mainly trigger chemotaxis and attracting leukocytes to the cellular source of origin. Chemokine families are distinguished based on the number of conserved cysteine residues: one being the C-X-C family in which two cysteines are bridged by n-number of amino acids, while the other, the C–C subfamily, has both cysteines adjoining each other. [92] Screening the human genome revealed 44 chemokines and 23 chemokine receptors, as shown by Nomiyama et al. [93] Lastly, interferons (INF)Footnote 14 are groups of cytokines that are released from a virally infected cell (INF-α and INF-β as type-1 INFs) or secreted by T cells, macrophages, or NK cells (IFN-γ) in response to inflammatory cues. [94]
In order to understand the expression profile of specific chemoattractant and how they modulate immune cell function, chemokine-specific TG mice [95, 96] were developed. To begin with, Crispo and colleagues generated Ccl20 reporting TG mice, namely, Ccl20-Luc mice. [95] CCL20 (C–C motif chemokine ligand 20) is a CCL6 agonist that induces immune cell activation and chemotaxis. The purpose of the Ccl20-Luc mice was to unravel the organ-specific expression profile of Ccl20 and monitor the immune activation when challenged with flagellin, a Toll-like receptor (TLR)Footnote 15-5 agonist and CCL20 stimulant. The transgenesis required cloning of a Ccl20 gene promoter within the firefly luciferase vector pGL-3 to form a Ccl20-Luc construct. Following that, the Ccl20-Luc vector was cloned with a downstream insert, internal ribosome entry site (IRES)-enhanced yellow fluorescent protein (EYFP),Footnote 16 creating a reporter plasmid: Ccl20-Luc-IRES-EYFP. The reporter plasmid was introduced into the fertilized eggs of C57BL/6 J mice via microinjection. The TG mice were then injected intravenously/intraperitoneally (i.v/i.p) with the stimulant flagellin, followed by D-luciferin, to measure in vivo generated luminescence from different organs at multiple time points. The authors reported an insignificant expression of Ccl20 in the blood, the duodenum, and the jejunum while bioluminescence was restricted to the upper abdomen in the challenged mice. The liver was found to generate the highest transcript of Ccl20-mRNA, which was equally reflected by bioluminescence.
The CXCL12 (C-X-C motif chemokine ligand 12) ligand binds to its receptor CXCR4, which then relays a stimulatory signal within the receptor-harboring cell for initiating chemotaxis or inducing inflammation. Sun et al. by generating CXCR4 knock-out mice [96] demonstrated the importance of CXCR4 receptor interaction with the cytokine CXCL12 with skin-resident NK T cells. In addition, they were able to demonstrate that deletion of this receptor would affect immune cell activation and the dynamics of chemotactic infiltration. The transgenics involved crossing CXCR4-floxed mice with ZBTB16-GFP/Cre reporter mice, generating CXCR4fl/fl-ZBTB16cre/+ progeny. ZBTB16, a positive selection marker of NK T cell precursor, marked skin-resident NK T cells by driving downstream GFP and Cre transgene. Furthermore, Cre expression would render skin-resident NK T cells devoid of CXCR4, thus preventing GFP emission. Next, skin-resident NK T cells from CXCR4fl/fl-ZBTB16cre/+ mice were adoptively transferred to CXCL12-DsRed recipient mice, which then were challenged to a skin inflammation inducer, DNFB (dinitrofluorobenzene). Intravital imaging revealed that the absence of CXCR4 led to reduced inflammation and minimal skin-resident NK T cell infiltration to the site and significantly lowered the production of IFN-γ in comparison to the mice administered with CXCR4 + GFP expressing SRN T cells. [96]
Transgenic Mouse Models to Monitor Cytokines: Interferons
An interesting mouse model has been developed by Reynolds and colleagues: a novel bioluminescent IFN-γ reporting TG mice, designated as Gammaglow. [97] Gammaglow mice were tested for reporting IFN-γ in a long-term in vivo setting, where the mice were challenged to an infection or tumor or even during autoimmune reaction. At its core, the Gammaglow reporter construct consisted of a BAC clone vector where exons 1–4 of IFN-γ gene were replaced with a cassette composed of firefly luciferase followed by a GFP. The homology arm extending from exon 1 and exon 4 ensured correct recombination with the Infg gene. Lastly, the founder TG mouse was backcrossed several generations with C57BL/6 to derive a stable transgenic reporter expressing line. Primary immune response induced by immunization of the Gammaglow mouse revealed a periodic expression of IFN-γ. OprF (an antigen derived from Pseudomonas aeruginosa) in the presence of an adjuvant was injected at different doses in the footpads of the mice. The immunization triggered an adaptive T cell response by the generation of IFN-γ which was translated as a bioluminescent signal emission recorded over 11 days. At a priming dose of 25 µg, the highest average radiance was observed increasing from day 7 to day 9 and descending at day 11 post immunization. A similar trend of periodic signal emission was observed with a one-fifth (5 µg) priming dose of OprF. Lastly, the authors crossed Foxp3-DTR mouse model with Gammaglow mice to study autoimmune T cell induction in the absence of Foxp3 + Tregs. Following DT administration, the authors could then visualize a significant difference in bioluminescence emission peaking at day 6 in IFN-γ* Foxp3-DTR reporter mice when compared to non-DT administered mice.
Transgenic Mouse Models to Monitor Cytokines: Interleukins
ILFootnote 17 as interleukin, here IL-12, is composed of IL-12p35 and IL-12p40 subunits and is secreted post TLR stimulation from macrophages and dendritic cells (DCs). Binding of the agonist IL-12 to the IL-12 receptor complex (composed of IL-12R-β1 and IL12R-β2) induces T cell maturation and generation of IFN-γ and tumor necrosis factor-alpha (TNF-α) from T cells and NK cells. [98] Acknowledging the concomitant role of IL-12 in immune cell activation and response, a knock-in TG mouse, consisting of a bicistronic p40 gene expression through fluorescence, was developed by Reinhardt et al. [99] The transgenesis involved the insertion of a bicistronic cassette within exon 8 of murine 129/Sv IL-12p40 genomic BAC clone. The bicistronic cassette consisted of a modified IRES element-linked upstream of EYFP gene followed by a bovine growth hormone polyadenylation signal and ending with loxP-floxed neomycin resistance segment. In situ p40 induction, post bacterial lipopolysaccharide (LPS)Footnote 18 challenge, triggered EYFP expression reflecting p40 expression kinetics and localization in draining lymph nodes. Lastly, the authors were successful in demonstrating the migratory advantage of stimulated (CpG-oligodeoxynucleotides and OVA exposed) BMDCs (bone marrow-derived dendritic cells) expressing p40. In addition, the presence of p40 expressing DCs attracted a greater number of OVA-specific T cells secreting IL-12 in the draining lymph nodes in comparison to non-expressing control DCs.
An IL-1β-driven firefly luciferase-expressing TG mice [100] was developed by Li et al., which could non-invasively report IL-1β expression during inflammation. Although the bioluminescence emission was detectable, a non-specific signal and the background noise were the downside as noticed in that TG model. With the least interfering background noise and signal, Iwawaki et al. developed IL-1β-based dual-operating luciferase (IDOL) gene TG mice. [101] A newly generated IDOL TG mouse model proved advantageous due to its dual regulation during transcriptional and post-translational processing. When the authors intraperitoneally injected the combination of d-galactosamine/LPS to induce acute hepatitis or caerulein/LPS to induce pancreatitis, the ex vivo image analysis reflected signal emission from the expected organs, thus marking the TG model reliable to report tissue-specific inflammation in addition to systemic inflammation.
In the same year, Hayashi et al. generated hIL-6-BAC-Luc (WIM-6) TG mice. [102] Within the first exon of the IL-6 locus, firefly luciferase was introduced through homologous recombination. This gene cassette was then introduced into a plasmid expressing loxP-floxed neomycin resistance gene. Arabinose-induced FLP (flippase), exhibiting its recombinase activity from earlier BAC construct, would then remove the neomycin resistance cassette generating the finalized targeting construct. Inflammation-induced IL-6 would drive the luciferase, which, in the presence of luciferin, would emit bioluminescence. When the WIM-6 mice were challenged under the LPS infection model, IL-6-driven luciferase would emit bioluminescent signals, which in turn would reflect a tissue-distributed inflammatory situation. The authors could perform non-invasive, long-term visualization of inflammation in a mouse model of atopic dermatitis. To do so, AhR-CA TG mice that suffered from inflammatory skin lesions (dermatitis), starting from the weaning stage, were crossed with their own WIM-6 TG mice. The derived progeny exhibited IL-6-driven bioluminescence from week 4 onwards and the emission peaking around week 12 was evident with the spreading of dermatitis. Lastly, when dexamethasone (glucocorticoid receptor agonist) was dermally applied as an anti-inflammatory therapy, the authors observed a significant drop in IL-6 expression. Decreasing luminescence from week 8 to the lowest detected at week 11 reflected that drop, therefore exhibiting the applicability of hIL6-BAC-Luc WIM-6 TG mice not only to study IL-6 kinetics chronic inflammation but also for anti-inflammatory studies.
Transgenic Mouse Models for Myeloid-Derived Cell Function: Monocyte/Macrophages
Within bone marrow hematopoiesis, common myeloid progenitor cells give rise to myeloblasts which later generate granulocytes which are neutrophils, basophils, and eosinophils produced via granulopoiesis, while monocytes give rise to macrophages and myeloid DCs through monocytopoiesis. Within these subtypes, the monocytic successors always intrigue researchers due to their unforeseen behavior in different tissue microenvironments. For monocytic macrophage’s recruitment and spatiotemporal distribution in mouse models for spinal cord injury (SCI),Footnote 19 the groups of Mawhinney et al. and Fenrich et al. adapted and designed specific TG reporter mice. To start with, the TG mouse model used by Mawhinney and colleagues [103] helped them distinguish the origin of macrophages encircling SCI, i.e., if they originated from the blood or the central nervous system (CNS).Footnote 20 The authors adapted lys-EGFP-ki TG mice developed by Faust et al. [104] The transgenics of lys-EGFP-ki involved the use of the Lys gene locus isolated from 129/Sv mouse genomic library. The novel targeting construct was sub-cloned within exon 1 of the lys gene such that the lys gene had an immediate EGFP which reported its expression. Based on lys-driven EGFP expression, Mawhinney and colleagues performed quantitative immunohistochemistry and analyzed flow cytometry data from the lys-EGFP-ki mice. The results gave a significant spatial and temporal distinction between hematogenous macrophages and microglia macrophages. Additionally, they were successful in demonstrating neutrophil dependence to hematogenous macrophages expressing EGFP for their subsistence around SCI. Although this mouse model has not yet been used for imaging, it is suited for intravital imaging and could provide a detailed insight in vivo. In the following year, Fenrich et al. [105] utilized an optical glass window mediated by two-photon microscopy for in vivo imaging. The imaging was performed to firstly observe myelomonocytic cell subset migration and interaction within the spinal cord lesion and secondly to investigate the role they perform during injury. To demonstrate this, the authors generated triple transgenic mice expressing Thy1-CFP//LysM-GFP//CD11c-EYFP which are capable of identifying multiple fluorescent cell populations. Three independent TG mouse models were used as a source to generate the desired TG mice. The first was from Feng et al. [106], Thy1 promoter-driven cyan fluorescent protein-23 mice that reported different neuron subsets. The second was from Faust et al. [104], LysM that drives GFP mice, which highlighted peripheral myelomonocytic cells. The last was adapted from Lindquist et al., in which CD11c-driven EYFP mice report microglial subset, which have a major focus on DCs. [107] Backcrossing these three TG mice with C57/B16 mice followed by crossbreeding was performed in order to derive the pups. These TG pups reported different cell populations based on their cell-specific promoter-driving distinct fluorescence. Through long-term optical imaging, the authors could distinctly visualize spatiotemporal distribution, morphology, and functioning of LysM + myelomonocytic cells (granulocytes, circulating macrophage precursors, and activated infiltrating macrophages) and CD11c + spinal cord-resident microglial subset, before and after SCI, within or around the lesion.
In order to track the monocytes and their differentiation into macrophages in vivo during inflammation, Iqbal et al. developed TG CD68-GFP reporter mice. [108] In these mice, human CD68 gene promoter drove EGFP expression, which was reported not only in the monocyte-derived macrophages within the blood, in the spleen, and in the bone marrow but also in the embryo-derived tissue-resident macrophages. The genetic modulation involved the sub-cloning of EGFP fragment downstream of human CD68 promoter. To highlight, from stage 8.5 onwards of the embryonic development, the authors were able to visualize monocytes/macrophages in the yolk sac around the periphery of the vasculature, sprouting blood vessels and embryo in the later stages. In terms of applicability, the authors found the monocytes from CD68-GFP reporter mice when adoptively transferred into recipient mice, with sterile inflammation, and the monocytes retained high GFP expression even after differentiation into macrophages. Lastly, to study monocyte trafficking and differentiation in chronic inflammation, intranasal bacille Calmette-Guérin (BCG) infection was conducted in the mice. Their results revealed that in immunofluorescence compared to that in the W.T mice, the infected mice had dense GFP + alveolar macrophages localizing at the site of infection. Additionally, localized macrophages were of M1 type (inflammatory and anti-microbial).
Subsequently, Evrard et al. [109] worked on in vivo visualization of the mobilizing bone marrow-derived monocyte using multiphoton intravital microscopy. The authors disapproved the Cx3cr1gfp/+ transgenic line as a favorable model for studying monocytes through intravital microscopy. They explained that Cx3cr1-driven GFP fluorescence from DCs would constantly interfere with that from the monocytes. This could potentially reduce the signal accuracy and reliability of Cx3cr1gfp/+ TG mice as a reporter of monocytes. Thus, to deplete GFP radiating DCs, the authors developed TG mice with Flt3L−/− knock-out, while GFP is still retained within the monocytes. By doing so, the authors adapted two TG mouse models, one being Flt3L−/− from Taconic Biosciences (Hudson, NY, USA) and Cx3cr1gfp mice from The Jackson Laboratory (Bar Harbor, ME, USA). Crossbreeding these TG mice generated Cx3cr1gfp/+Flt3L−/− reporter founders. [109] Intravital imaging was performed in the bone marrow of the skull by incorporating an optical window on the skull. Intravital imaging displayed a significant reduction in cells exhibiting DC morphology in comparison to the Cx3cr1gfp/+Flt3L+/+ control mice. Lastly, long-term monitoring of medullar and circulating Ly6Chi monocyte population after bacterial LPS challenge proved that Flt3L−/− did not interfere with Ly6Chi monocyte emigration from B.M into the bloodstream.
Moving on from fluorescence to bioluminescence as a tool for in vivo reporting tumor-associated macrophages, He et al. generated LysM-LG TG mice [110] by crossing B6.129P2-Lyz2tm1(cre)Ifo/J mice (The Jackson Laboratory, ME, USA) with their own generated Cre-lox Luc reporter mice. In the former mice, Cre recombinase expression was driven by lysozyme M promoter while the latter had a dual reporter construct. To make the reporter construct, the gene cassette of the click beetle luciferase and Heteractis magnifica GFP was cloned downstream of loxP-floxed Renilla luciferase (rLuc), which had a stop codon after rLuc. The construct had a constitutively active hybrid chicken β-actin promoter and a CMV enhancer. The reporter construct was then microinjected in the oocyte of the recipient mice. Functionally, the derived LysM-LG TG pups from the crossing possessed CBLuc and GFP positive myeloid cells as the loxP-floxed RLuc segment was deleted through LysM-driven Cre. When LysM-LG mice were challenged with LPS, the authors reported increased click beetle luciferase signal, reflecting macrophage activation, which, later by flow cytometry, proved that macrophages were predominantly of M1 subtype, based on the markers expressed. When challenged i.p with murine ovarian cancer (ID8) and assessed longitudinally through bioluminescence imaging, the authors reported a similar increase in bioluminescence signal specifically at week 1 and week 12, reflecting the macrophage reporting efficiency over time.
Transgenic Mouse Model for Monitoring Microglia
Microglial cells, also referred to as macrophages of the CNS, contribute to the reparations during neuronal damage and regulating neuronal homeostasis. [111] Furthermore, a study confirmed that they originate from primitive macrophages associated from yolk sac, which prevails in the CNS following adulthood. [112] In order to visualize microglia in vivo, Hirasawa et al. developed TG microglia Iba1-EGFP reporter mice. [113] Iba1 was selected as a microglial-specific gene to be a fluorescent reporter using EGFP. The authors cloned the human Iba1 gene as a promoter (with first two exons) from 129 Sv/J mouse cosmid library. To note, an IFN-γ-responsive element is present upstream of the second exon that contributes to Iba1-enhanced expression in the microglial cells. Furthermore, the reporter transgene was constructed by sub-cloning EGFP cDNA with an Iba1 gene cassette into a novel backbone vector. When comparing the illuminated brain section of an adult TG mouse with that of non-TG mouse, the authors could visualize microglial cell-associated strong diffused fluorescence. Lastly, due to Iba1-EGFP reporter activity, the authors could monitor the spatiotemporal organization of microglial cells in developing mice embryos from day E10.5.
Transgenic Mouse Models for Monitoring Dendritic Cell Function
Dendritic cells play an important role in initiating immune response by maturing (mDC) against foreign antigen/inflammatory mediators or maintaining tolerance against self-antigens by remaining as immature DCs (imDC). This phenomenon is achieved by processing and presenting antigens on their surface for other immune cells to recognize and respond to. [114, 115] To visualize these mDC and imDC deep in lymph nodes using two-photon fluorescence microscopy, Lindquist and colleagues developed CD11c-EYFP TG mice. (107) DC-specific CD11c promoter drove EYFP-Venus (adapted from Nagai et al.) [116] expression. The authors selected founders that exhibited the highest fluorescence tissue penetration (175–350 µm) and named them CD11c-EYFPhi mice. 3D image reconstruction of inguinal lymph nodes using two-photon fluorescence microscopy revealed spatiotemporal kinetics of perifollicular and deeper CD11c-EYFP expressing DCs. In addition, their proximity to immune cells in subcapsular T-zone and T-B-interface compartment was also visualized. Lastly, the authors visualized mDC interaction with endogenous lymph node network. DCs were matured in vitro by exposing them to LPS, which then were injected intradermally into the flanks. Under periodic observation using intravital microscopy, the authors observed migration of LPS-matured CD11c-EYFP + DCs settling in the lymph nodes around B and T cell zones which at later time points (96 h) showed a decline in their numbers. From this observation, the authors conferred that mDCs are more motile than the steady-state DCs.
When CD11c-EYFP (B6.Cg-Tg (Itgax-EYFP) 1 Mnz/J) mice were administered with transcutaneous immunization, Rattanapak et al. could visualize in real-time the interaction between dermal DCs (DDCs) and immunogenic antigens using two-photon microscopy. [117] The authors favored the transcutaneous immunization because of the high numbers of antigen presenting DDCs and Langerhans cells (LCs) in the dermis and the microneedles could penetrate the stratum corneum so to deliver the immunogenic antigens intradermally. In the course of visualizing DC-immunogen interaction, it was revealed that the primary cells interacting with the immunogen were the DDCs displaying immediate mobility. In addition, the authors found an increase in their numbers over time in comparison to LCs. DDCs were distinctly recognizable from LCs due to their morphological differences and mobility characteristics. Importantly, under XY cross-sectional image analysis, the authors visualized DDCs extending into the epidermis for capturing and uptaking immunogens.
Future Perspectives
As a common observation, generating a TG mouse involves detailed cloning strategies for assisting reporter gene cassettes to recombine within the host genome. This in turn, being challenging and time-consuming, does not ensure always the desired transgene expression and phenotype. Henceforth, moving towards optimizing pre-existing recombination methodology or testing enhanced mutants for site-specific knock-in insertions or adapting novel proteins involved in recombination events from a non-traditional organism to the bench would transform classical transgenics to become more efficient, replicable, and desirable. In addition, from the literature cited here, we observed that most of the TG mice developed for exploring immune cell function belonged to a particular subtype. For example, TG for visualizing B cell functionality was lacking and only a CD19-mCherry/luciferase transgenic is available to achieve B cell-restricted fluorescence/bioluminescence in living mice. Presumably, this might be due to difficulty generating a unique TG mouse that reports activated B cell functionality or localization. Lastly, combining different reporter genes within TG targeting gene would render it to be visualized using multi-modality reporters. A notable example would be the use of optoacoustic gene combined with near-infrared-emitting luciferase for reporting immune cell functionality within deep tissue. We expect that future transgenic mouse models for monitoring gene expression dynamics in immune cells would make use of different imaging modalities so that sensitivity and versatility of the models would be increased.
Change history
12 July 2024
A Correction to this paper has been published: https://doi.org/10.1007/s11307-024-01930-0
Notes
(TG) transgenic.
(NK) natural killer.
CRISPR-Cas (clustered regularly interspaced short palindromic repeats-cellular apoptosis susceptibility).
(Cre) cyclization recombinase.
(IVM) intravital microscopy.
(EGFP) enhanced green fluorescent protein.
(DsRed) Discosoma sp. red fluorescent protein.
(nTreg) naïve regulatory T-cells.
(Teff) effector T-cells.
(BAC) bacterial artificial chromosome.
(CBG99) click beetle green luciferase.
(NFAT) nuclear factor of activated T cells.
(CBR) click beetle red luciferase.
(INF) interferon.
(TLR) Toll-like receptor.
(EYFP) enhanced yellow fluorescent protein.
(IL) interleukin.
(LPS) lipopolysaccharides.
(SCI) spinal cord injury.
(CNS) central nervous system.
References
Akira S, Takeda K, Kaisho T (2001) Toll-like receptors: critical proteins linking innate and acquired immunity. Nat Immunol 2(8):675–680
Janeway CA, Medzhitov R (2002) Innate immune recognition. Annu Rev Immunol 20:197–216
Trombetta ES, Mellman I (2005) Cell biology of antigen processing in vitro and in vivo. Annu Rev Immunol 23:975–1028
Gasteiger G, Ataide M, Kastenmüller W (2016) Lymph node - an organ for T-cell activation and pathogen defense. Immunol Rev 271(1):200–220
Divangahi M, Aaby P, Khader SA, Barreiro LB, Bekkering S, Chavakis T et al (2021) Trained immunity, tolerance, priming and differentiation: distinct immunological processes. Nat Immunol 22(1):2–6
Mempel TR, Henrickson SE, Von Andrian UH (2004) T-cell priming by dendritic cells in lymph nodes occurs in three distinct phases. Nature 427(6970):154–159
Gajewski TF, Schreiber H, Fu YX (2013) Innate and adaptive immune cells in the tumor microenvironment. Nat Immunol 14(10):1014–1022
Beutler B (2004) Innate immunity: an overview. Mol Immunol 40(12):845–859
Woolaver RA, Wang X, Krinsky AL, Waschke SMY, Chen SMY, Popolizio V et al (2021) Differences in TCR repertoire and T cell activation underlie the divergent outcomes of antitumor immune responses in tumor-eradicating versus tumor-progressing hosts. J Immunother Cancer 9(1):e001615
Marincola FM, Wang E, Herlyn M, Seliger B, Ferrone S (2003) Tumors as elusive targets of T-cell-based active immunotherapy. Trends Immunol 24(6):335–342
Seo N, Hayakawa S, Takigawa M, Tokura Y (2001) Interleukin-10 expressed at early tumour sites induces subsequent generation of CD4(+) T-regulatory cells and systemic collapse of antitumour immunity. Immunology 103(4):449–457
Nakagomi H, Petersson M, Magnusson I, Juhlin C, Matsuda M, Mellstedt H et al (1993) Decreased expression of the signal-transducing zeta chains in tumor-infiltrating T-cells and NK cells of patients with colorectal carcinoma. Cancer Res 53(23):5610–5612
Staveley-O’Carroll K, Sotomayor E, Montgomery J, Borrello I, Hwang L, Fein S et al (1998) Induction of antigen-specific T cell anergy: an early event in the course of tumor progression. Proc Natl Acad Sci U S A 95(3):1178–1183
Zippelius A, Batard P, Rubio-Godoy V, Bioley G, Liénard D, Lejeune F et al (2004) Effector function of human tumor-specific CD8 T cells in melanoma lesions: a state of local functional tolerance. Cancer Res 64(8):2865–2873
Overwijk WW, Theoret MR, Finkelstein SE, Surman DR, de Jong LA, Vyth-Dreese FA et al (2003) Tumor regression and autoimmunity after reversal of a functionally tolerant state of self-reactive CD8+ T cells. J Exp Med 198(4):569–580
Storni T, Bachmann MF (2003) On the role of APC-activation for in vitro versus in vivo T cell priming. Cell Immunol 225(1):1–11
Waterston RH, Lindblad-Toh K, Birney E, Rogers J, Abril JF, Agarwal P et al (2002) Initial sequencing and comparative analysis of the mouse genome. Nature 420(6915):520–562
Arlauckas SP, Garris CS, Kohler RH, Kitaoka M, Cuccarese MF, Yang KS et al (2017) In vivo imaging reveals a tumor-associated macrophage-mediated resistance pathway in anti-PD-1 therapy. Sci Transl Med 9(389):eaal3604
Zhu L, Li XJ, Kalimuthu S, Gangadaran P, Lee HW, Oh JM et al (2017) Natural killer cell (NK-92MI)-based therapy for pulmonary metastasis of anaplastic thyroid cancer in a nude mouse model. Front Immunol 8:816
Spicer JD, McDonald B, Cools-Lartigue JJ, Chow SC, Giannias B, Kubes P et al (2012) Neutrophils promote liver metastasis via Mac-1-mediated interactions with circulating tumor cells. Cancer Res 72(16):3919–3927
Boissonnas A, Licata F, Poupel L, Jacquelin S, Fetler L, Krumeich S et al (2013) CD8+ tumor-infiltrating T cells are trapped in the tumor-dendritic cell network. Neoplasia 15(1):85–94
Moalli F, Proulx ST, Schwendener R, Detmar M, Schlapbach C, Stein JV (2015) Intravital and whole-organ imaging reveals capture of melanoma-derived antigen by lymph node subcapsular macrophages leading to widespread deposition on follicular dendritic cells. Front Immunol 6:114
Bouvet M, Tsuji K, Yang M, Jiang P, Moossa AR, Hoffman RM (2006) In vivo color-coded imaging of the interaction of colon cancer cells and splenocytes in the formation of liver metastases. Cancer Res 66(23):11293–11297
Suetsugu A, Katz M, Fleming J, Truty M, Thomas R, Moriwaki H et al (2012) Multi-color palette of fluorescent proteins for imaging the tumor microenvironment of orthotopic tumorgraft mouse models of clinical pancreatic cancer specimens. J Cell Biochem 113(7):2290–2295
Egeblad M, Ewald AJ, Askautrud HA, Truitt ML, Welm BE, Bainbridge E et al (2008) Visualizing stromal cell dynamics in different tumor microenvironments by spinning disk confocal microscopy. Dis Model Mech 1(2 3):155–167 (discussion 165)
Kaijzel EL, van der Pluijm G, Löwik CW (2007) Whole-body optical imaging in animal models to assess cancer development and progression. Clin Cancer Res 13(12):3490–3497
Liu J, Wang Y, Qu X, Li X, Ma X, Han R et al (2010) In vivo quantitative bioluminescence tomography using heterogeneous and homogeneous mouse models. Opt Express 18(12):13102–13113
Ma R, Taruttis A, Ntziachristos V, Razansky D (2009) Multispectral optoacoustic tomography (MSOT) scanner for whole-body small animal imaging. Opt Express 17(24):21414–21426
Xu H, Rice BW (2009) In-vivo fluorescence imaging with a multivariate curve resolution spectral unmixing technique. J Biomed Opt 14(6):064011
Kersten K, de Visser KE, van Miltenburg MH, Jonkers J (2017) Genetically engineered mouse models in oncology research and cancer medicine. EMBO Mol Med 9(2):137–153
Jonkers J, Meuwissen R, van der Gulden H, Peterse H, van der Valk M, Berns A (2001) Synergistic tumor suppressor activity of BRCA2 and p53 in a conditional mouse model for breast cancer. Nat Genet 29(4):418–425
Johnson L, Mercer K, Greenbaum D, Bronson RT, Crowley D, Tuveson DA et al (2001) Somatic activation of the K-ras oncogene causes early onset lung cancer in mice. Nature 410(6832):1111–1116
Hasgur S, Aryee KE, Shultz LD, Greiner DL, Brehm MA (2016) Generation of immunodeficient mice bearing human immune systems by the engraftment of hematopoietic stem cells. Methods Mol Biol 1438:67–78
Shultz LD, Brehm MA, Garcia-Martinez JV, Greiner DL (2012) Humanized mice for immune system investigation: progress, promise and challenges. Nat Rev Immunol 12(11):786–798
Hu Z, Yang YG (2012) Human lymphohematopoietic reconstitution and immune function in immunodeficient mice receiving cotransplantation of human thymic tissue and CD34(+) cells. Cell Mol Immunol 9(3):232–236
Kawano N, Ishikawa F, Shimoda K, Yasukawa M, Nagafuji K, Miyamoto T et al (2005) Efficient engraftment of primary adult T-cell leukemia cells in newborn NOD/SCID/beta2-microglobulin(null) mice. Leukemia 19(8):1384–1390
Yoshida S, Ishikawa F, Yasukawa M, Miyamoto T, Yoshimoto G, Kawano N et al (2005) Long-term engraftment and self-renewal of AML stem cells in the newborn NOD-scid/IL2rgnull immunodeficient mouse model. Blood 106(11):1261
Mitsiades CS, Mitsiades NS, Bronson RT, Chauhan D, Munshi N, Treon SP et al (2003) Fluorescence imaging of multiple myeloma cells in a clinically relevant SCID/NOD in vivo model: biologic and clinical implications. Cancer Res 63(20):6689–6696
Carretta M, de Boer B, Jaques J, Antonelli A, Horton SJ, Yuan H et al (2017) Genetically engineered mesenchymal stromal cells produce IL-3 and TPO to further improve human scaffold-based xenograft models. Exp Hematol 51:36–46
Vaiselbuh SR, Edelman M, Lipton JM, Liu JM (2010) Ectopic human mesenchymal stem cell-coated scaffolds in NOD/SCID mice: an in vivo model of the leukemia niche. Tissue Eng Part C Methods 16(6):1523–1531
Bearss DJ, Subler MA, Hundley JE, Troyer DA, Salinas RA, Windle JJ (2000) Genetic determinants of response to chemotherapy in transgenic mouse mammary and salivary tumors. Oncogene 19(8):1114–1122
Mitsuya H, Tomino S, Hisamitsu S, Kishimoto S (1979) Evidence for the failure of IgA specific T helper activity in a patient with immunodeficiency with hyper IgM. J Clin Lab Immunol 2(4):337–342
Kohl NE, Omer CA, Conner MW, Anthony NJ, Davide JP, deSolms SJ et al (1995) Inhibition of farnesyltransferase induces regression of mammary and salivary carcinomas in ras transgenic mice. Nat Med 1(8):792–797
Bergers G, Brekken R, McMahon G, Vu TH, Itoh T, Tamaki K et al (2000) Matrix metalloproteinase-9 triggers the angiogenic switch during carcinogenesis. Nat Cell Biol 2(10):737–744
Gao H, Korn JM, Ferretti S, Monahan JE, Wang Y, Singh M et al (2015) High-throughput screening using patient-derived tumor xenografts to predict clinical trial drug response. Nat Med 21(11):1318–1325
Lampreht Tratar U, Horvat S, Cemazar M (2018) Transgenic mouse models in cancer research. Front Oncol 8:268
Doyle A, McGarry MP, Lee NA, Lee JJ (2012) The construction of transgenic and gene knockout/knockin mouse models of human disease. Transgenic Res 21(2):327–349
Iwakuma T, Lozano G (2007) Crippling p53 activities via knock-in mutations in mouse models. Oncogene 26(15):2177–2184
Blackburn AC, Jerry DJ (2002) Knockout and transgenic mice of Trp53: what have we learned about p53 in breast cancer? Breast Cancer Res 4(3):101–111
Konishi H, Karakas B, Abukhdeir AM, Lauring J, Gustin JP, Garay JP et al (2007) Knock-in of mutant K-ras in nontumorigenic human epithelial cells as a new model for studying K-ras mediated transformation. Cancer Res 67(18):8460–8467
Yang H, Wang H, Jaenisch R (2014) Generating genetically modified mice using CRISPR/Cas-mediated genome engineering. Nat Protoc 9(8):1956–1968
Gaj T, Gersbach CA, Barbas CF (2013) ZFN, TALEN, and CRISPR/Cas-based methods for genome engineering. Trends Biotechnol 31(7):397–405
Cong L, Ran FA, Cox D, Lin S, Barretto R, Habib N et al (2013) Multiplex genome engineering using CRISPR/Cas systems. Science 339(6121):819–823
Jansen R, Embden JD, Gaastra W, Schouls LM (2002) Identification of genes that are associated with DNA repeats in prokaryotes. Mol Microbiol 43(6):1565–1575
Friedrich G, Soriano P (1991) Promoter traps in embryonic stem cells: a genetic screen to identify and mutate developmental genes in mice. Genes Dev 5(9):1513–1523
Singh P, Schimenti JC, Bolcun-Filas E (2015) A mouse geneticist’s practical guide to CRISPR applications. Genetics 199(1):1–15
Yarmolinsky M, Hoess R (2015) The legacy of Nat Sternberg: the genesis of Cre-lox technology. Annu Rev Virol 1:25–40
Meinke G, Bohm A, Hauber J, Pisabarro MT, Buchholz F (2016) Cre recombinase and other tyrosine recombinases. Chem Rev 116(20):12785–12820
Feil R, Brocard J, Mascrez B, LeMeur M, Metzger D, Chambon P (1996) Ligand-activated site-specific recombination in mice. Proc Natl Acad Sci U S A 93(20):10887–10890
Brocard J, Warot X, Wendling O, Messaddeq N, Vonesch JL, Chambon P, Metzger D (1997) Spatio-temporally controlled site-specific somatic mutagenesis in the mouse. Proc Natl Acad Sci U S A 94(26):14559–14563
Ozawa T, Yoshimura H, Kim SB (2013) Advances in fluorescence and bioluminescence imaging. Anal Chem 85(2):590–609
Zambito G, Chawda C, Mezzanotte L (2021) Emerging tools for bioluminescence imaging. Curr Opin Chem Biol 63:86–94
Leblond F, Davis SC, Valdés PA, Pogue BW (2010) Pre-clinical whole-body fluorescence imaging: review of instruments, methods and applications. J Photochem Photobiol B 98(1):77–94
Zambito G, Hall MP, Wood MG, Gaspar N, Ridwan Y, Stellari FF et al (2021) Red-shifted click beetle luciferase mutant expands the multicolor bioluminescent palette for deep tissue imaging. iScience 24(1):101986
Choo YW, Jeong J, Jung K (2020) Recent advances in intravital microscopy for investigation of dynamic cellular behavior in vivo. BMB Rep 53(7):357–366
Jorch SK, Deppermann C (2021) Intravital imaging allows organ-specific insights into immune functions Front Cell. Dev Biol 9:623906
Alexander S, Weigelin B, Winkler F, Friedl P (2013) Preclinical intravital microscopy of the tumour-stroma interface: invasion, metastasis, and therapy response. Curr Opin Cell Biol 25(5):659–671
Jabbour JM, Saldua MA, Bixler JN, Maitland KC (2012) Confocal endomicroscopy: instrumentation and medical applications. Ann Biomed Eng 40(2):378–397
Todorova B, Salabert N, Tricot S, Boisgard R, Rathaux M, Le Grand R et al (2017) Fibered confocal fluorescence microscopy for the noninvasive imaging of Langerhans cells in macaques. Contrast Media Mol Imaging 2017:3127908
Liu TW, Gammon ST, Piwnica-Worms D (2021) Multi-modal multi-spectral intravital microscopic imaging of signaling dynamics in real-time during tumor-immuneinteractions. Cells 10(3):449
Soulet D, Lamontagne-Proulx J, Aubé B, Davalos D (2020) Multiphoton intravital microscopy in small animals: motion artefact challenges and technical solutions. J Microsc 278(1):3–17
Moerner WE, Orrit M (1999) Illuminating single molecules in condensed matter. Science (New York, N.Y.) 283(5408):1670–1676
Kaufmann R, Hagen C, Grünewald K (2014) Fluorescence cryo-microscopy: current challenges and prospects. Curr Opin Chem Biol 20(100):86–91
Saederup N, Cardona AE, Croft K, Mizutani M, Cotleur AC, Tsou CL et al (2017) Correction: Selective chemokine receptor usage by central nervous system myeloid cells in CCR2-red fluorescent protein knock-in mice. PLoS One 12(4):e0176931
Sauter KA, Pridans C, Sehgal A, Bain CC, Scott C, Moffat L et al (2014) The MacBlue binary transgene (csf1r-gal4VP16/UAS-ECFP) provides a novel marker for visualisation of subsets of monocytes, macrophages and dendritic cells and responsiveness to CSF1 administration. PLoS One 9(8):e105429
Bonnardel J, T’Jonck W, Gaublomme D, Browaeys R, Scott CL, Martens L et al (2019) Stellate cells, hepatocytes, and endothelial cells imprint the Kupffer cell identity on monocytes colonizing the liver macrophage niche. Immunity 51(4):638-654.e639
Caravagna C, Jaouën A, Desplat-Jégo S, Fenrich KK, Bergot E, Luche H et al (2018) Diversity of innate immune cell subsets across spatial and temporal scales in an EAE mouse model. Sci Rep 8(1):5146
Wan YY, Flavell RA (2007) Regulatory T-cell functions are subverted and converted owing to attenuated Foxp3 expression. Nature 445(7129):766–770
Glatman Zaretsky A, Konradt C, Dépis F, Wing JB, Goenka R, Atria DG et al (2017) T regulatory cells support plasma cell populations in the bone marrow. Cell Rep 18(8):1906–1916
Bittner-Eddy PD, Fischer LA, Costalonga M (2019) Cre-loxP reporter mouse reveals stochastic activity of the Foxp3 promoter. Front Immunol 10:2228
Dawson CA, Pal B, Vaillant F, Gandolfo LC, Liu Z, Bleriot C et al (2020) Tissue-resident ductal macrophages survey the mammary epithelium and facilitate tissue remodelling. Nat Cell Biol 22(5):546–558
Wang PL, Yim AKY, Kim KW, Avey D, Czepielewski RS, Colonna M et al (2020) Peripheral nerve resident macrophages share tissue-specific programming and features of activated microglia. Nat Commun 11(1):2552
Lefrançais E, Ortiz-Muñoz G, Caudrillier A, Mallavia B, Liu F, Sayah DM et al (2017) The lung is a site of platelet biogenesis and a reservoir for haematopoietic progenitors. Nature 544(7648):105–109
Fan Z, Spencer JA, Lu Y, Pitsillides CM, Singh G, Kim P et al (2010) In vivo tracking of ‘color-coded’ effector, natural and induced regulatory T cells in the allograft response. Nat Med 16(6):718–722
Bettelli E, Carrier Y, Gao W, Korn T, Strom TB, Oukka M et al (2006) Reciprocal developmental pathways for the generation of pathogenic effector TH17 and regulatory T cells. Nature 441(7090):235–238
Vintersten K, Monetti C, Gertsenstein M, Zhang P, Laszlo L, Biechele S et al (2004) Mouse in red: red fluorescent protein expression in mouse ES cells, embryos, and adult animals. Genesis 40(4):241–246
Suffner J, Hochweller K, Kühnle MC, Li X, Kroczek RA, Garbi N et al (2010) Dendritic cells support homeostatic expansion of Foxp3+ regulatory T cells in Foxp3.LuciDTR mice. J Immunol 184(4):1810–1820
Thanabalasuriar A, Neupane AS, Wang J, Krummel MF, Kubes P (2016) iNKT cell emigration out of the lung vasculature requires neutrophils and monocyte-derived dendritic cells in inflammation. Cell Rep 16(12):3260–3272
Szyska M, Herda S, Althoff S, Heimann A, Russ J, D’Abundo D et al (2018) A transgenic dual-luciferase reporter mouse for longitudinal and functional monitoring of T cells. Cancer Immunol Res 6(1):110–120
Charo J, Perez C, Buschow C, Jukica A, Czeh M, Blankenstein T (2011) Visualizing the dynamic of adoptively transferred T cells during the rejection of large established tumors. Eur J Immunol 41(11):3187–3197
Kleinovink JW, Mezzanotte L, Zambito G, Fransen MF, Cruz LJ, Verbeek JS et al (2018) A dual-color bioluminescence reporter mouse for simultaneous in vivo imaging of T cell localization and function. Front Immunol 9:3097
Turner MD, Nedjai B, Hurst T, Pennington DJ (2014) Cytokines and chemokines: at the crossroads of cell signalling and inflammatory disease. Biochim Biophys Acta 1843(11):2563–2582
Nomiyama H, Osada N, Yoshie O (2013) Systematic classification of vertebrate chemokines based on conserved synteny and evolutionary history. Genes Cells 18(1):1–16
Le Page C, Génin P, Baines MG, Hiscott J (2000) Interferon activation and innate immunity. Rev Immunogenet 2(3):374–386
Crispo M, Van Maele L, Tabareau J, Cayet D, Errea A, Ferreira AM et al (2013) Transgenic mouse model harboring the transcriptional fusion ccl20-luciferase as a novel reporter of pro-inflammatory response. PLoS One 8(11):e78447
Sun Z, Kim JH, Kim SH, Kim HR, Zhang K, Pan Y et al (2021) Skin-resident natural killer T cells participate in cutaneous allergic inflammation in atopic dermatitis. J Allergy Clin Immunol 147(5):1764–1777
Reynolds CJ, Chong DLW, Li Y, Black SL, Cutler A, Webster Z et al (2019) Bioluminescent reporting of in vivo IFN-γ immune responses during infection and autoimmunity. J Immunol 202(8):2502–2510
Zheng H, Ban Y, Wei F, Ma X (2016) Regulation of interleukin-12 production in antigen-presenting cells. Adv Exp Med Biol 941:117–138
Reinhardt RL, Hong S, Kang SJ, Wang ZE, Locksley RM (2006) Visualization of IL-12/23p40 in vivo reveals immunostimulatory dendritic cell migrants that promote Th1 differentiation. J Immunol 177(3):1618–1627
Li L, Fei Z, Ren J, Sun R, Liu Z, Sheng Z et al (2008) Functional imaging of interleukin 1 beta expression in inflammatory process using bioluminescence imaging in transgenic mice. BMC Immunol 9:49
Iwawaki T, Akai R, Oikawa D, Toyoshima T, Yoshino M, Suzuki M et al (2015) Transgenic mouse model for imaging of interleukin-1β-related inflammation in vivo. Sci Rep 5:17205
Hayashi M, Takai J, Yu L, Motohashi H, Moriguchi T, Yamamoto M (2015) Whole-body in vivo monitoring of inflammatory diseases exploiting human interleukin 6-luciferase transgenic mice. Mol Cell Biol 35(20):3590–3601
Mawhinney LA, Thawer SG, Lu WY, Rooijen N, Weaver LC, Brown A et al (2012) Differential detection and distribution of microglial and hematogenous macrophage populations in the injured spinal cord of lys-EGFP-ki transgenic mice. J Neuropathol Exp Neurol 71(3):180–197
Faust N, Varas F, Kelly LM, Heck S, Graf T (2000) Insertion of enhanced green fluorescent protein into the lysozyme gene creates mice with green fluorescent granulocytes and macrophages. Blood 96(2):719–726
Fenrich KK, Weber P, Rougon G, Debarbieux F (2013) Long- and short-term intravital imaging reveals differential spatiotemporal recruitment and function of myelomonocytic cells after spinal cord injury. J Physiol 591(19):4895–4902
Feng G, Mellor RH, Bernstein M, Keller-Peck C, Nguyen QT, Wallace M et al (2000) Imaging neuronal subsets in transgenic mice expressing multiple spectral variants of GFP. Neuron 28(1):41–51
Lindquist RL, Shakhar G, Dudziak D, Wardemann H, Eisenreich T, Dustin ML et al (2004) Visualizing dendritic cell networks in vivo. Nat Immunol 5(12):1243–1250
Iqbal AJ, McNeill E, Kapellos TS, Regan-Komito D, Norman S, Burd S et al (2014) Human CD68 promoter GFP transgenic mice allow analysis of monocyte to macrophage differentiation in vivo. Blood 124(15):e33-44
Evrard M, Chong SZ, Devi S, Chew WK, Lee B, Poidinger M et al (2015) Visualization of bone marrow monocyte mobilization using Cx3cr1gfp/+Flt3L-/- reporter mouse by multiphoton intravital microscopy. J Leukoc Biol 97(3):611–619
He H, Chiu AC, Kanada M, Schaar BT, Krishnan V, Contag CH et al (2017) Imaging of tumor-associated macrophages in a transgenic mouse model of orthotopic ovarian cancer. Mol Imaging Biol 19(5):694–702
Nakajima K, Kohsaka S (2001) Microglia: activation and their significance in the central nervous system. J Biochem 130(2):169–175
Ginhoux F, Greter M, Leboeuf M, Nandi S, See P, Gokhan S et al (2010) Fate mapping analysis reveals that adult microglia derive from primitive macrophages. Science 330(6005):841–845
Hirasawa T, Ohsawa K, Imai Y, Ondo Y, Akazawa C, Uchino S et al (2005) Visualization of microglia in living tissues using Iba1-EGFP transgenic mice. J Neurosci Res 81(3):357–362
Liu YJ (2001) Dendritic cell subsets and lineages, and their functions in innate and adaptive immunity. Cell 106(3):259–262
Banchereau J, Pascual V, Palucka AK (2004) Autoimmunity through cytokine-induced dendritic cell activation. Immunity 20(5):539–550
Nagai T, Ibata K, Park ES, Kubota M, Mikoshiba K, Miyawaki A (2002) A variant of yellow fluorescent protein with fast and efficient maturation for cell-biological applications. Nat Biotechnol 20(1):87–90
Rattanapak T, Birchall JC, Young K, Kubo A, Fujimori S, Ishii M et al (2014) Dynamic visualization of dendritic cell-antigen interactions in the skin following transcutaneous immunization. PLoS One 9(2):e89503
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This work was supported by the European Commission under the European Marie Skłodowska-Curie Innovative Training Network (ITN) scheme (Grant Agreement number: 813834 and Grant Agreement number: 861190).
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Chawda, C., McMorrow, R., Gaspar, N. et al. Monitoring Immune Cell Function Through Optical Imaging: a Review Highlighting Transgenic Mouse Models. Mol Imaging Biol 24, 250–263 (2022). https://doi.org/10.1007/s11307-021-01662-5
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DOI: https://doi.org/10.1007/s11307-021-01662-5