Chapter Seventeen - Elucidating the role of an immunomodulatory protein in cancer: From protein expression to functional characterization
Introduction
Cancer initiation, proliferation and metastasis is a multistage process that involves alterations in the genetic material of cells, which is known as DNA mutations. Unrestrained mutagenesis of DNA disables the mechanisms that control cell growth and apoptosis and leads to conversion of normal cells into their malignant derivatives. Cancer cells are characterized by immortality (Duesberg & McCormack, 2013), genome heterogeneity (Urbach, Lupien, Karagas, & Moore, 2012), and invasiveness to other tissues, via blood or lymph nodes (Jiang et al., 2015). Current cancer therapies rely on chemotherapy, immunotherapy, hormonal therapy, surgery and radiation to control progression of cancer (Sudhakar, 2009). Despite their therapeutic impact that is highly dependent on the type and stage of cancer, these methods suffer from adverse effects due to empirical targeting approaches. Recent advances in genome sequencing (Bentley et al., 2008), along with our increased understanding of the highly complex tumor micro- and macroenvironments (Al-Zoughbi et al., 2014; Javeed & Mukhopadhyay, 2017; Sudhakar, 2009), have allowed us to identify new, promising molecular targets.
Among these targets are soluble proteins (e.g., tryptophan 2,&3-dioxygenase (TDO), indoleamine 2,3-dioxygenase-1 (IDO1), and macrophage migration inhibitory factor (MIF)), and cell surface receptors (e.g., programmed cell death protein 1 (PD-1)/programmed death ligand 1 (PD-L1), and cluster of differentiation 74 (CD74)). TDO and IDO1 are the two main enzymes that catalyze oxidation of tryptophan in the first and rate limiting step of the kynurenine pathway (Pantouris, 2012). Their immunomodulatory properties are related to tryptophan depletion (Lob, Konigsrainer, Rammensee, Opelz, & Terness, 2009; Munn et al., 1998) and the production of kynurenine pathway metabolites, such as kynurenine, that serve as endogenous tumor-promoting ligands (Opitz et al., 2011). Another immunosuppressive mechanism used by cancer cells involves upregulation of MIF, a pleiotropic protein with multiple functions that include endonuclease, enzymatic, chemokine and cytokine activities (Calandra & Roger, 2003; Wang et al., 2016). Via the latter, MIF activates the cell surface receptor CD74, promoting the survival and recruitment of inflammatory cells as well as upregulation of pro-inflammatory cytokines (Dickerhof, Schindler, Bernhagen, Kettle, & Hampton, 2015). These two mechanisms, related to the MIF induced activation of CD74, were shown to be involved in tumor survival, progression and metastasis (Simpson, Templeton, & Cross, 2012). Recently, it was demonstrated that activation of MIF/CD74 axis regulates the expression of PD-L1 in melanoma cells (Imaoka, Tanese, Masugi, Hayashi, & Sakamoto, 2019). Activation of PD-1/PD-L1 axis was found to be a critical immunosuppressive checkpoint that promotes cancer survival, proliferation and metastasis via inactivation of T cells (Alsaab et al., 2017).
Study of immunomodulatory proteins, like the ones mentioned above, offers opportunities for designing new, selective and highly potent anti-cancer therapeutics. This chapter focuses on approaches that can be followed to express, purify and characterize such proteins.
After a potential molecular target has been identified, two strategies can be followed to study the protein, at a structural and functional level:
- A.
Expressing and purifying the recombinant protein, which can then be used for characterization using structural and biochemical methods.
- B.
Utilizing cancer cell lines or primary cells that express the protein of interest, for evaluating the impact of small molecule therapeutics on cellular changes associated with cancer.
This chapter includes detailed protocols for recombinant protein expression and purification that can be further used for structural and biochemical characterization of the target immunomodulatory protein. The chapter also reports protocols on cellular assays using flow-cytometry. Flow-cytometry is a powerful technique that can be used to qualitatively and quantitatively address some of the key cellular changes that play a critical role in cancer progression. Using an established cancer cell line or primary cells, we provide a step-by-step protocol for protein expression analysis, proliferation, cell-cycle and apoptosis. Collectively, our protocols offer a multangular approach for the study and characterization of a protein with potential immunomodulatory function.
Section snippets
Cloning, overexpression and purification of recombinant immunomodulatory proteins
Recombinant protein expression is a powerful technique to produce large amounts (e.g., mg) of biologically active proteins, outside their native environment (Pantouris et al., 2019). Recombinant proteins have a vast array of applications including usage as therapeutic agents (Buckel, 1996), as industrial enzymes (Kirk, Borchert, & Fuglsang, 2002) and as tools to answer key biological questions in research (Ma et al., 1998). Recombinant proteins can be commonly expressed by four expression
Recombinant protein characterization
Following purification, the protein of interest is characterized depending upon the downstream application it is being produced for. Below, we provide a brief description of some of the key techniques that are routinely used for protein characterization. Applications, advantages and disadvantages for each technique are also shown (Table 3).
Cell-based protein expression analysis
Flow-cytometric techniques can be employed to qualitatively and/or quantitatively examine the expression profile of an immunomodulatory protein in cancer cell lines or primary cells. For intracellular proteins, membrane permeabilization is required so that the fluorescent antibody can bind to the target protein. For cell surface proteins, no permeabilization is needed. Following is a detailed step-by-step procedure for expression analysis of two different proteins:
- a.
MIF, which is primarily
Cell-cycle arrest analysis
In contrast to healthy cells, cancer cells develop an increased capacity to proliferate. To ensure constant proliferation, cancer cells tend to hijack the normal cell-cycle machinery and alter the checkpoints at the G1/S or G2/M phase. These checkpoints are the surveillance mechanisms by which healthy cells are regulated to follow normal growth and differentiation and thus alterations in the cell cycle are one of the major mechanisms by which cancer propagates. Changes in cell-cycle upon
Proliferation analysis
Despite the many intrinsic checkpoints that control the progression of normal cells, preneoplastic cells evade these checkpoints, which results in spurious proliferation leading to tumor growth. Thus, determining cell proliferation allows us to identify the cycling behavior of cells. Compounds with potential anti-cancer activity can slow down the proliferation kinetics of tumor cells. Thus, cell proliferation can be used to screen for anti-cancer activity. The procedure utilizes
Apoptosis assay
Apoptosis is a highly regulated process of programmed cell death, characterized by distinct morphological changes and energy-dependent biochemical mechanisms. Apoptosis is considered a vital component of a healthy immune system, and unregulated apoptosis is related to several human disorders, including cancer (Favaloro, Allocati, Graziano, Di Ilio, & De Laurenzi, 2012).
Apoptotic cells undergo several morphological changes such as cell shrinkage, changes in granularity, and chromatin
Fluorophore selection for FACS involving multicolor panels
Multicolor flow-cytometry assays can detect and run multiple analytes and is a powerful tool to produce tremendous amount of data. However, creating and selecting fluorophores for a multicolor experiment can be a challenging task and requires a more strategic approach for the experimental design. Thus, here are some helpful things to keep in mind:
- 1.
Know your cytometer instrument (which lasers and filters does it contain) and select the fluorophores compatible with your instrument's laser and
Compensation controls for FACS involving multicolor panels
Compensations play a critical role while performing flow cytometry when multiple fluorophores are being used in an experiment. Compensations are necessary because different fluorophores show spectral overlaps in their emission spectra. For example, FITC and PE require filters of 525/50 and 585/40 bandpass, respectively. However, the two fluorophores demonstrate spectral overlaps due to which FITC signal can be detected in PE detectors and vice-versa. Such bleed-throughs of signals need to be
Conclusion
The methods presented here provide an extensive and reliable strategy for characterization of any immunomodulatory protein. We have given detailed protocols for recombinant protein expression and purification, along with procedures and tips for structural and functional characterization, which can be applied to both soluble and membrane proteins (after solubilization from the membrane). The flow-cytometry functional assays, described here, can monitor the impact of inhibiting a key
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