Abstract
Epigenetic mechanisms orchestrate the finely tuned regulation of genetic material and play a pivotal role in defining cellular functions and phenotypes. A growing set of tools supports analysis of the epigenome. This chapter will provide an overview of the principle methods of studying complex epigenetic machinery, focusing on recent advancements of tools and techniques in the field of epigenetics. It will also address the advantages, limitations and perspectives of each approach. Increasingly, the high sensitivity, specificity, accuracy, precision and reproducibility of cutting-edge technologies in epigenetics are allowing the identification of new key targets and molecular mechanisms in healthy and pathological states and are becoming methods of choice for clinical investigations.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Abbreviations
- 5caC:
-
5-Carboxylcytosine
- 5fC:
-
5-Formylcytosine
- 5hmC:
-
5-Hydroxymethylcytosine
- 5mC:
-
5-Methylcytosine
- AlphaScreen:
-
Amplified Luminescent Proximity Homogeneous Assay Screen
- BRET:
-
Bioluminescence resonance energy transfer
- BS-seq:
-
Bisulfite sequencing
- CAB-seq:
-
Chemical modification-assisted bisulfite sequencing
- CE-SSCP:
-
Capillary electrophoresis single-strand conformation polymorphism
- CETSA:
-
Cellular thermal shift assay
- ChIP:
-
Chromatin immunoprecipitation
- ChroP:
-
Chromatin proteomics
- ddPCR:
-
Droplet digital PCR
- EDC:
-
1-Ethyl-3(3-dimethylaminoproyl)-carbodiimide hydrochloride
- EnIGMA:
-
Enzyme-assisted identification of genome modification assay
- ePL:
-
Enhanced ProLabel
- ES:
-
Embryonic stem
- EWAS:
-
Epigenome-wide association studies
- EXPAR:
-
Exponential amplification reaction
- fCAB-seq:
-
5-Formylcytosine chemical modification-assisted bisulfite sequencing
- FISH:
-
Fluorescent in situ hybridization
- FLIM:
-
Fluorescence lifetime microscopy
- FRET:
-
Förster resonance energy transfer
- G4:
-
G-quadruplex
- HATs:
-
Histone acetyltransferases
- HMTs:
-
Histone methyltransferases
- HTDR:
-
High-throughput dose-response
- HTS:
-
High-throughput screening
- HT-seq:
-
High-throughput sequencing
- ISH:
-
In situ hybridization
- ITC:
-
Isothermal titration colorimetry
- LC-MS:
-
Liquid chromatography-mass spectrometry
- LNA:
-
Locked nucleic acid
- miRNA:
-
microRNA
- miR-TRAP:
-
miRNA trapping
- MPS:
-
Massive parallel sequencing
- MS:
-
Mass spectrometry
- MST:
-
Microscale thermophoresis
- NGS:
-
Next-generation sequencing
- Nluc:
-
NanoLuc luciferase
- PAR-CLIP:
-
Photoactivatable ribonucleoside-enhanced cross-linking and immunoprecipitation
- QD:
-
Quantum dot
- RBPs:
-
RNA binding proteins
- RIME:
-
Rapid immunoprecipitation mass spectrometry of endogenous protein
- Rluc:
-
Renilla luciferase
- RRBS:
-
Reduced representation bisulfite sequencing
- scBS-seq:
-
Single-cell bisulfite sequencing
- scM&T-seq:
-
Single-cell genome-wide methylome and transcriptome sequencing
- scRRBS:
-
Single-cell reduced representation bisulfite sequencing
- snmC-seq:
-
Single-nucleus methylcytosine sequencing
- SNPs:
-
Single-nucleotide polymorphisms
- SPR:
-
Surface plasmon resonance
- TAB-seq:
-
Tet-assisted bisulfite sequencing
- TCL:
-
Targeted chromatin ligation
- Tm:
-
Melting temperature
- TR-FRET:
-
Time-resolved fluorescent energy transfer
- UV:
-
Ultraviolet
- YFP:
-
Yellow fluorescent protein
References
Bernstein BE, Meissner A, Lander ES (2007) The mammalian epigenome. Cell 128(4):669–681. https://doi.org/10.1016/j.cell.2007.01.033
Baylin SB, Jones PA (2011) A decade of exploring the cancer epigenome – biological and translational implications. Nat Rev Cancer 11(10):726–734. https://doi.org/10.1038/nrc3130
Cheuk IW, Shin VY, Kwong A (2017) Detection of methylated circulating DNA as noninvasive biomarkers for breast cancer diagnosis. J Breast Cancer 20(1):12–19. https://doi.org/10.4048/jbc.2017.20.1.12
Ho SM, Johnson A, Tarapore P, Janakiram V, Zhang X, Leung YK (2012) Environmental epigenetics and its implication on disease risk and health outcomes. ILAR J 53(3–4):289–305. https://doi.org/10.1093/ilar.53.3-4.289
Thomas ML, Marcato P (2018) Epigenetic modifications as biomarkers of tumor development, therapy response, and recurrence across the cancer care continuum. Cancers (Basel) 10(4). https://doi.org/10.3390/cancers10040101
Vardabasso C, Gaspar-Maia A, Hasson D, Punzeler S, Valle-Garcia D, Straub T, Keilhauer EC, Strub T, Dong J, Panda T, Chung CY, Yao JL, Singh R, Segura MF, Fontanals-Cirera B, Verma A, Mann M, Hernando E, Hake SB, Bernstein E (2015) Histone variant H2A.Z.2 mediates proliferation and drug sensitivity of malignant melanoma. Mol Cell 59(1):75–88. https://doi.org/10.1016/j.molcel.2015.05.009
Jia M, Jansen L, Walter V, Tagscherer K, Roth W, Herpel E, Kloor M, Blaker H, Chang-Claude J, Brenner H, Hoffmeister M (2016) No association of CpG island methylator phenotype and colorectal cancer survival: population-based study. Br J Cancer 115(11):1359–1366. https://doi.org/10.1038/bjc.2016.361
Ullman EF, Kirakossian H, Singh S, Wu ZP, Irvin BR, Pease JS, Switchenko AC, Irvine JD, Dafforn A, Skold CN et al (1994) Luminescent oxygen channeling immunoassay: measurement of particle binding kinetics by chemiluminescence. Proc Natl Acad Sci U S A 91(12):5426–5430
Yasgar A, Jadhav A, Simeonov A, Coussens NP (2016) AlphaScreen-based assays: ultra-high-throughput screening for small-molecule inhibitors of challenging enzymes and protein-protein interactions. Methods Mol Biol 1439:77–98. https://doi.org/10.1007/978-1-4939-3673-1_5
Wigle TJ, Herold JM, Senisterra GA, Vedadi M, Kireev DB, Arrowsmith CH, Frye SV, Janzen WP (2010) Screening for inhibitors of low-affinity epigenetic peptide-protein interactions: an AlphaScreen-based assay for antagonists of methyl-lysine binding proteins. J Biomol Screen 15(1):62–71. https://doi.org/10.1177/1087057109352902
Prabhu L, Chen L, Wei H, Demir O, Safa A, Zeng L, Amaro RE, O’Neil BH, Zhang ZY, Lu T (2017) Development of an AlphaLISA high throughput technique to screen for small molecule inhibitors targeting protein arginine methyltransferases. Mol Biosyst 13(12):2509–2520. https://doi.org/10.1039/c7mb00391a
Scarano S, Scuffi C, Mascini M, Minunni M (2011) Surface plasmon resonance imaging-based sensing for anti-bovine immunoglobulins detection in human milk and serum. Anal Chim Acta 707(1–2):178–183. https://doi.org/10.1016/j.aca.2011.09.012
Kim D, Lee IS, Jung JH, Yang SI (1999) Psammaplin A, a natural bromotyrosine derivative from a sponge, possesses the antibacterial activity against methicillin-resistant Staphylococcus aureus and the DNA gyrase-inhibitory activity. Arch Pharm Res 22(1):25–29
Duff MR Jr, Grubbs J, Howell EE (2011) Isothermal titration calorimetry for measuring macromolecule-ligand affinity. J Vis Exp (55). https://doi.org/10.3791/2796
Holdgate G (2009) Isothermal titration calorimetry and differential scanning calorimetry. Methods Mol Biol 572:101–133. https://doi.org/10.1007/978-1-60761-244-5_7
Jerabek-Willemsen M, Wienken CJ, Braun D, Baaske P, Duhr S (2011) Molecular interaction studies using microscale thermophoresis. Assay Drug Dev Technol 9(4):342–353. https://doi.org/10.1089/adt.2011.0380
Zillner K, Jerabek-Willemsen M, Duhr S, Braun D, Langst G, Baaske P (2012) Microscale thermophoresis as a sensitive method to quantify protein: nucleic acid interactions in solution. Methods Mol Biol 815:241–252. https://doi.org/10.1007/978-1-61779-424-7_18
Alpatov R, Lesch BJ, Nakamoto-Kinoshita M, Blanco A, Chen S, Stutzer A, Armache KJ, Simon MD, Xu C, Ali M, Murn J, Prisic S, Kutateladze TG, Vakoc CR, Min J, Kingston RE, Fischle W, Warren ST, Page DC, Shi Y (2014) A chromatin-dependent role of the fragile X mental retardation protein FMRP in the DNA damage response. Cell 157(4):869–881. https://doi.org/10.1016/j.cell.2014.03.040
Josling GA, Petter M, Oehring SC, Gupta AP, Dietz O, Wilson DW, Schubert T, Langst G, Gilson PR, Crabb BS, Moes S, Jenoe P, Lim SW, Brown GV, Bozdech Z, Voss TS, Duffy MF (2015) A plasmodium falciparum bromodomain protein regulates invasion gene expression. Cell Host Microbe 17(6):741–751. https://doi.org/10.1016/j.chom.2015.05.009
Raha D, Hong M, Snyder M (2010) ChIP-seq: a method for global identification of regulatory elements in the genome. Curr Protoc Mol Biol Chapter 21:Unit 21 19 21-14. https://doi.org/10.1002/0471142727.mb2119s91
Wang CI, Alekseyenko AA, LeRoy G, Elia AE, Gorchakov AA, Britton LM, Elledge SJ, Kharchenko PV, Garcia BA, Kuroda MI (2013) Chromatin proteins captured by ChIP-mass spectrometry are linked to dosage compensation in Drosophila. Nat Struct Mol Biol 20(2):202–209. https://doi.org/10.1038/nsmb.2477
Mohammed H, Taylor C, Brown GD, Papachristou EK, Carroll JS, D'Santos CS (2016) Rapid immunoprecipitation mass spectrometry of endogenous proteins (RIME) for analysis of chromatin complexes. Nat Protoc 11(2):316–326. https://doi.org/10.1038/nprot.2016.020
Cao Z, Lu C (2016) A microfluidic device with integrated sonication and immunoprecipitation for sensitive epigenetic assays. Anal Chem 88(3):1965–1972. https://doi.org/10.1021/acs.analchem.5b04707
Jafari R, Almqvist H, Axelsson H, Ignatushchenko M, Lundback T, Nordlund P, Martinez Molina D (2014) The cellular thermal shift assay for evaluating drug target interactions in cells. Nat Protoc 9(9):2100–2122. https://doi.org/10.1038/nprot.2014.138
Becher I, Werner T, Doce C, Zaal EA, Togel I, Khan CA, Rueger A, Muelbaier M, Salzer E, Berkers CR, Fitzpatrick PF, Bantscheff M, Savitski MM (2016) Thermal profiling reveals phenylalanine hydroxylase as an off-target of panobinostat. Nat Chem Biol 12(11):908–910. https://doi.org/10.1038/nchembio.2185
McNulty DE, Bonnette WG, Qi H, Wang L, Ho TF, Waszkiewicz A, Kallal LA, Nagarajan RP, Stern M, Quinn AM, Creasy CL, Su DS, Graves AP, Annan RS, Sweitzer SM, Holbert MA (2018) A high-throughput dose-response cellular thermal shift assay for rapid screening of drug target engagement in living cells, exemplified using SMYD3 and IDO1. SLAS Discov 23(1):34–46. https://doi.org/10.1177/2472555217732014
Song Y, Madahar V, Liao J (2011) Development of FRET assay into quantitative and high-throughput screening technology platforms for protein-protein interactions. Ann Biomed Eng 39(4):1224–1234. https://doi.org/10.1007/s10439-010-0225-x
Alibhai D, Kelly DJ, Warren S, Kumar S, Margineau A, Serwa RA, Thinon E, Alexandrov Y, Murray EJ, Stuhmeier F, Tate EW, Neil MA, Dunsby C, French PM (2013) Automated fluorescence lifetime imaging plate reader and its application to Forster resonant energy transfer readout of Gag protein aggregation. J Biophotonics 6(5):398–408. https://doi.org/10.1002/jbio.201200185
Wade M, Mendez J, Coussens NP, Arkin MR, Glicksman MA (2004) Inhibition of protein-protein interactions: cell-based assays. In: Sittampalam GS, Coussens NP, Brimacombe K et al (eds) Assay guidance manual. Eli Lilly & Company and the National Center for Advancing Translational Sciences, Bethesda
Bacart J, Corbel C, Jockers R, Bach S, Couturier C (2008) The BRET technology and its application to screening assays. Biotechnol J 3(3):311–324. https://doi.org/10.1002/biot.200700222
Machleidt T, Woodroofe CC, Schwinn MK, Mendez J, Robers MB, Zimmerman K, Otto P, Daniels DL, Kirkland TA, Wood KV (2015) NanoBRET – a novel BRET platform for the analysis of protein-protein interactions. ACS Chem Biol 10(8):1797–1804. https://doi.org/10.1021/acschembio.5b00143
Hu F, Martin H, Martinez A, Everitt J, Erkanli A, Lee WT, Dewhirst M, Ramanujam N (2017) Distinct angiogenic changes during carcinogenesis defined by novel label-free dark-field imaging in a hamster cheek pouch model. Cancer Res 77(24):7109–7119. https://doi.org/10.1158/0008-5472.CAN-17-1058
Tollefsbol TO (2011) Advances in epigenetic technology. Methods Mol Biol 791:1–10. https://doi.org/10.1007/978-1-61779-316-5_1
Weinhold B (2006) Epigenetics: the science of change. Environ Health Perspect 114(3):A160–A167
Gasperskaja E, Kucinskas V (2017) The most common technologies and tools for functional genome analysis. Acta Med Litu 24(1):1–11. https://doi.org/10.6001/actamedica.v24i1.3457
Schwartzman O, Tanay A (2015) Single-cell epigenomics: techniques and emerging applications. Nat Rev Genet 16(12):716–726. https://doi.org/10.1038/nrg3980
Milne TA, Zhao K, Hess JL (2009) Chromatin immunoprecipitation (ChIP) for analysis of histone modifications and chromatin-associated proteins. Methods Mol Biol 538:409–423. https://doi.org/10.1007/978-1-59745-418-6_21
Zarnegar MA, Reinitz F, Newman AM, Clarke MF (2017) Targeted chromatin ligation, a robust epigenetic profiling technique for small cell numbers. Nucleic Acids Res 45(17):e153. https://doi.org/10.1093/nar/gkx648
Teste B, Champ J, Londono-Vallejo A, Descroix S, Malaquin L, Viovy JL, Draskovic I, Mottet G (2017) Chromatin immunoprecipitation in microfluidic droplets: towards fast and cheap analyses. Lab Chip 17(3):530–537. https://doi.org/10.1039/c6lc01535b
Rotem A, Ram O, Shoresh N, Sperling RA, Goren A, Weitz DA, Bernstein BE (2015) Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state. Nat Biotechnol 33(11):1165–1172. https://doi.org/10.1038/nbt.3383
Hansel-Hertsch R, Spiegel J, Marsico G, Tannahill D, Balasubramanian S (2018) Genome-wide mapping of endogenous G-quadruplex DNA structures by chromatin immunoprecipitation and high-throughput sequencing. Nat Protoc 13(3):551–564. https://doi.org/10.1038/nprot.2017.150
Gaasterland T, Oprea M (2001) Whole-genome analysis: annotations and updates. Curr Opin Struct Biol 11(3):377–381
Behjati S, Tarpey PS (2013) What is next generation sequencing? Arch Dis Child Educ Pract Ed 98(6):236–238. https://doi.org/10.1136/archdischild-2013-304340
Almouzni G, Cedar H (2016) Maintenance of epigenetic information. Cold Spring Harb Perspect Biol 8(5). https://doi.org/10.1101/cshperspect.a019372
Moore LD, Le T, Fan G (2013) DNA methylation and its basic function. Neuropsychopharmacology 38(1):23–38. https://doi.org/10.1038/npp.2012.112
Li E, Zhang Y (2014) DNA methylation in mammals. Cold Spring Harb Perspect Biol 6(5):a019133. https://doi.org/10.1101/cshperspect.a019133
Tucker T, Marra M, Friedman JM (2009) Massively parallel sequencing: the next big thing in genetic medicine. Am J Hum Genet 85(2):142–154. https://doi.org/10.1016/j.ajhg.2009.06.022
Li Q, Hermanson PJ, Springer NM (2018) Detection of DNA methylation by whole-genome bisulfite sequencing. Methods Mol Biol 1676:185–196. https://doi.org/10.1007/978-1-4939-7315-6_11
Lu X, Han D, Zhao BS, Song CX, Zhang LS, Dore LC, He C (2015) Base-resolution maps of 5-formylcytosine and 5-carboxylcytosine reveal genome-wide DNA demethylation dynamics. Cell Res 25(3):386–389. https://doi.org/10.1038/cr.2015.5
Yu M, Han D, Hon GC, He C (2018) Tet-assisted bisulfite sequencing (TAB-seq). Methods Mol Biol 1708:645–663. https://doi.org/10.1007/978-1-4939-7481-8_33
Kawasaki Y, Kuroda Y, Suetake I, Tajima S, Ishino F, Kohda T (2017) A novel method for the simultaneous identification of methylcytosine and hydroxymethylcytosine at a single base resolution. Nucleic Acids Res 45(4):e24. https://doi.org/10.1093/nar/gkw994
Lu X, Song CX, Szulwach K, Wang Z, Weidenbacher P, Jin P, He C (2013) Chemical modification-assisted bisulfite sequencing (CAB-seq) for 5-carboxylcytosine detection in DNA. J Am Chem Soc 135(25):9315–9317. https://doi.org/10.1021/ja4044856
Song CX, Szulwach KE, Dai Q, Fu Y, Mao SQ, Lin L, Street C, Li Y, Poidevin M, Wu H, Gao J, Liu P, Li L, Xu GL, Jin P, He C (2013) Genome-wide profiling of 5-formylcytosine reveals its roles in epigenetic priming. Cell 153(3):678–691. https://doi.org/10.1016/j.cell.2013.04.001
Guo H, Zhu P, Guo F, Li X, Wu X, Fan X, Wen L, Tang F (2015) Profiling DNA methylome landscapes of mammalian cells with single-cell reduced-representation bisulfite sequencing. Nat Protoc 10(5):645–659. https://doi.org/10.1038/nprot.2015.039
Smallwood SA, Lee HJ, Angermueller C, Krueger F, Saadeh H, Peat J, Andrews SR, Stegle O, Reik W, Kelsey G (2014) Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity. Nat Methods 11(8):817–820. https://doi.org/10.1038/nmeth.3035
Clark SJ, Smallwood SA, Lee HJ, Krueger F, Reik W, Kelsey G (2017) Genome-wide base-resolution mapping of DNA methylation in single cells using single-cell bisulfite sequencing (scBS-seq). Nat Protoc 12(3):534–547. https://doi.org/10.1038/nprot.2016.187
Luo C, Keown CL, Kurihara L, Zhou J, He Y, Li J, Castanon R, Lucero J, Nery JR, Sandoval JP, Bui B, Sejnowski TJ, Harkins TT, Mukamel EA, Behrens MM, Ecker JR (2017) Single-cell methylomes identify neuronal subtypes and regulatory elements in mammalian cortex. Science 357(6351):600–604. https://doi.org/10.1126/science.aan3351
Angermueller C, Clark SJ, Lee HJ, Macaulay IC, Teng MJ, Hu TX, Krueger F, Smallwood S, Ponting CP, Voet T, Kelsey G, Stegle O, Reik W (2016) Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity. Nat Methods 13(3):229–232. https://doi.org/10.1038/nmeth.3728
Han J, Zhang Z, Wang K (2018) 3C and 3C-based techniques: the powerful tools for spatial genome organization deciphering. Mol Cytogenet 11:21. https://doi.org/10.1186/s13039-018-0368-2
Li G, Cai L, Chang H, Hong P, Zhou Q, Kulakova EV, Kolchanov NA, Ruan Y (2014) Chromatin interaction analysis with paired-end tag (ChIA-PET) sequencing technology and application. BMC Genomics 15(Suppl 12):S11. https://doi.org/10.1186/1471-2164-15-S12-S11
Mumbach MR, Rubin AJ, Flynn RA, Dai C, Khavari PA, Greenleaf WJ, Chang HY (2016) HiChIP: efficient and sensitive analysis of protein-directed genome architecture. Nat Methods 13(11):919–922. https://doi.org/10.1038/nmeth.3999
Chen C, Ridzon DA, Broomer AJ, Zhou Z, Lee DH, Nguyen JT, Barbisin M, Xu NL, Mahuvakar VR, Andersen MR, Lao KQ, Livak KJ, Guegler KJ (2005) Real-time quantification of microRNAs by stem-loop RT-PCR. Nucleic Acids Res 33(20):e179. https://doi.org/10.1093/nar/gni178
Varkonyi-Gasic E, Wu R, Wood M, Walton EF, Hellens RP (2007) Protocol: a highly sensitive RT-PCR method for detection and quantification of microRNAs. Plant Methods 3:12. https://doi.org/10.1186/1746-4811-3-12
Jacobsen N, Andreasen D, Mouritzen P (2011) Profiling microRNAs by real-time PCR. Methods Mol Biol 732:39–54. https://doi.org/10.1007/978-1-61779-083-6_4
Campomenosi P, Gini E, Noonan DM, Poli A, D'Antona P, Rotolo N, Dominioni L, Imperatori A (2016) A comparison between quantitative PCR and droplet digital PCR technologies for circulating microRNA quantification in human lung cancer. BMC Biotechnol 16(1):60. https://doi.org/10.1186/s12896-016-0292-7
Hindson BJ, Ness KD, Masquelier DA, Belgrader P, Heredia NJ, Makarewicz AJ, Bright IJ, Lucero MY, Hiddessen AL, Legler TC, Kitano TK, Hodel MR, Petersen JF, Wyatt PW, Steenblock ER, Shah PH, Bousse LJ, Troup CB, Mellen JC, Wittmann DK, Erndt NG, Cauley TH, Koehler RT, So AP, Dube S, Rose KA, Montesclaros L, Wang S, Stumbo DP, Hodges SP, Romine S, Milanovich FP, White HE, Regan JF, Karlin-Neumann GA, Hindson CM, Saxonov S, Colston BW (2011) High-throughput droplet digital PCR system for absolute quantitation of DNA copy number. Anal Chem 83(22):8604–8610. https://doi.org/10.1021/ac202028g
Song Y, Kilburn D, Song JH, Cheng Y, Saeui CT, Cheung DG, Croce CM, Yarema KJ, Meltzer SJ, Liu KJ, Wang TH (2017) Determination of absolute expression profiles using multiplexed miRNA analysis. PLoS One 12(7):e0180988. https://doi.org/10.1371/journal.pone.0180988
Androvic P, Valihrach L, Elling J, Sjoback R, Kubista M (2017) Two-tailed RT-qPCR: a novel method for highly accurate miRNA quantification. Nucleic Acids Res 45(15):e144. https://doi.org/10.1093/nar/gkx588
Moody L, He H, Pan YX, Chen H (2017) Methods and novel technology for microRNA quantification in colorectal cancer screening. Clin Epigenetics 9:119. https://doi.org/10.1186/s13148-017-0420-9
Sun Z, Evans J, Bhagwate A, Middha S, Bockol M, Yan H, Kocher JP (2014) CAP-miRSeq: a comprehensive analysis pipeline for microRNA sequencing data. BMC Genomics 15:423. https://doi.org/10.1186/1471-2164-15-423
Wu J, Liu Q, Wang X, Zheng J, Wang T, You M, Sheng Sun Z, Shi Q (2013) mirTools 2.0 for non-coding RNA discovery, profiling, and functional annotation based on high-throughput sequencing. RNA Biol 10(7):1087–1092. https://doi.org/10.4161/rna.25193
Rueda A, Barturen G, Lebron R, Gomez-Martin C, Alganza A, Oliver JL, Hackenberg M (2015) sRNAtoolbox: an integrated collection of small RNA research tools. Nucleic Acids Res 43(W1):W467–W473. https://doi.org/10.1093/nar/gkv555
Andres-Leon E, Nunez-Torres R, Rojas AM (2016) miARma-seq: a comprehensive tool for miRNA, mRNA and circRNA analysis. Sci Rep 6:25749. https://doi.org/10.1038/srep25749
Garcia-Gimenez JL, Rubio-Belmar PA, Peiro-Chova L, Hervas D, Gonzalez-Rodriguez D, Ibanez-Cabellos JS, Bas-Hermida P, Mena-Molla S, Garcia-Lopez EM, Pallardo FV, Bas T (2018) Circulating miRNAs as diagnostic biomarkers for adolescent idiopathic scoliosis. Sci Rep 8(1):2646. https://doi.org/10.1038/s41598-018-21146-x
Gustafson D, Tyryshkin K, Renwick N (2016) microRNA-guided diagnostics in clinical samples. Best Pract Res Clin Endocrinol Metab 30(5):563–575. https://doi.org/10.1016/j.beem.2016.07.002
Rodriguez M, Bajo-Santos C, Hessvik NP, Lorenz S, Fromm B, Berge V, Sandvig K, Line A, Llorente A (2017) Identification of non-invasive miRNAs biomarkers for prostate cancer by deep sequencing analysis of urinary exosomes. Mol Cancer 16(1):156. https://doi.org/10.1186/s12943-017-0726-4
Buschmann D, Kirchner B, Hermann S, Marte M, Wurmser C, Brandes F, Kotschote S, Bonin M, Steinlein OK, Pfaffl MW, Schelling G, Reithmair M (2018) Evaluation of serum extracellular vesicle isolation methods for profiling miRNAs by next-generation sequencing. J Extracell Vesicles 7(1):1481321. https://doi.org/10.1080/20013078.2018.1481321
Van Ness J, Van Ness LK, Galas DJ (2003) Isothermal reactions for the amplification of oligonucleotides. Proc Natl Acad Sci U S A 100(8):4504–4509. https://doi.org/10.1073/pnas.0730811100
Zhang Y, Zhang CY (2012) Sensitive detection of microRNA with isothermal amplification and a single-quantum-dot-based nanosensor. Anal Chem 84(1):224–231. https://doi.org/10.1021/ac202405q
Liu H, Tian T, Zhang Y, Ding L, Yu J, Yan M (2017) Sensitive and rapid detection of microRNAs using hairpin probes-mediated exponential isothermal amplification. Biosens Bioelectron 89(Pt 2):710–714. https://doi.org/10.1016/j.bios.2016.10.099
Na J, Shin GW, Son HG, Lee SV, Jung GY (2017) Multiplex quantitative analysis of microRNA expression via exponential isothermal amplification and conformation-sensitive DNA separation. Sci Rep 7(1):11396. https://doi.org/10.1038/s41598-017-11895-6
Urbanek MO, Nawrocka AU, Krzyzosiak WJ (2015) Small RNA detection by in situ hybridization methods. Int J Mol Sci 16(6):13259–13286. https://doi.org/10.3390/ijms160613259
Thomas M, Lieberman J, Lal A (2010) Desperately seeking microRNA targets. Nat Struct Mol Biol 17(10):1169–1174. https://doi.org/10.1038/nsmb.1921
Elmen J, Lindow M, Silahtaroglu A, Bak M, Christensen M, Lind-Thomsen A, Hedtjarn M, Hansen JB, Hansen HF, Straarup EM, McCullagh K, Kearney P, Kauppinen S (2008) Antagonism of microRNA-122 in mice by systemically administered LNA-antimiR leads to up-regulation of a large set of predicted target mRNAs in the liver. Nucleic Acids Res 36(4):1153–1162. https://doi.org/10.1093/nar/gkm1113
Krutzfeldt J, Rajewsky N, Braich R, Rajeev KG, Tuschl T, Manoharan M, Stoffel M (2005) Silencing of microRNAs in vivo with ‘antagomirs’. Nature 438(7068):685–689. https://doi.org/10.1038/nature04303
Ebert MS, Sharp PA (2010) MicroRNA sponges: progress and possibilities. RNA 16(11):2043–2050. https://doi.org/10.1261/rna.2414110
Kuhn DE, Martin MM, Feldman DS, Terry AV Jr, Nuovo GJ, Elton TS (2008) Experimental validation of miRNA targets. Methods 44(1):47–54. https://doi.org/10.1016/j.ymeth.2007.09.005
Beitzinger M, Peters L, Zhu JY, Kremmer E, Meister G (2007) Identification of human microRNA targets from isolated argonaute protein complexes. RNA Biol 4(2):76–84
Licatalosi DD, Mele A, Fak JJ, Ule J, Kayikci M, Chi SW, Clark TA, Schweitzer AC, Blume JE, Wang X, Darnell JC, Darnell RB (2008) HITS-CLIP yields genome-wide insights into brain alternative RNA processing. Nature 456(7221):464–469. https://doi.org/10.1038/nature07488
Hafner M, Landthaler M, Burger L, Khorshid M, Hausser J, Berninger P, Rothballer A, Ascano M Jr, Jungkamp AC, Munschauer M, Ulrich A, Wardle GS, Dewell S, Zavolan M, Tuschl T (2010) Transcriptome-wide identification of RNA-binding protein and microRNA target sites by PAR-CLIP. Cell 141(1):129–141. https://doi.org/10.1016/j.cell.2010.03.009
Danan C, Manickavel S, Hafner M (2016) PAR-CLIP: a method for transcriptome-wide identification of RNA binding protein interaction sites. Methods Mol Biol 1358:153–173. https://doi.org/10.1007/978-1-4939-3067-8_10
Ule J, Jensen KB, Ruggiu M, Mele A, Ule A, Darnell RB (2003) CLIP identifies Nova-regulated RNA networks in the brain. Science 302(5648):1212–1215. https://doi.org/10.1126/science.1090095
Favre A, Moreno G, Blondel MO, Kliber J, Vinzens F, Salet C (1986) 4-Thiouridine photosensitized RNA-protein crosslinking in mammalian cells. Biochem Biophys Res Commun 141(2):847–854
Bezerra R, Favre A (1990) In vivo incorporation of the intrinsic photolabel 4-thiouridine into Escherichia coli RNAs. Biochem Biophys Res Commun 166(1):29–37
Kishore S, Jaskiewicz L, Burger L, Hausser J, Khorshid M, Zavolan M (2011) A quantitative analysis of CLIP methods for identifying binding sites of RNA-binding proteins. Nat Methods 8(7):559–564. https://doi.org/10.1038/nmeth.1608
Baigude H, Ahsanullah LZ, Zhou Y, Rana TM (2012) miR-TRAP: a benchtop chemical biology strategy to identify microRNA targets. Angew Chem Int Ed Engl 51(24):5880–5883. https://doi.org/10.1002/anie.201201512
Cambronne XA, Shen R, Auer PL, Goodman RH (2012) Capturing microRNA targets using an RNA-induced silencing complex (RISC)-trap approach. Proc Natl Acad Sci U S A 109(50):20473–20478. https://doi.org/10.1073/pnas.1218887109
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Ethics declarations
Funding: The authors acknowledge AIRC17217; PON_0101227; VALERE: Vanvitelli per la Ricerca; Regione Campania lotta alle patologie oncologiche: iCURE (CUP B21C17000030007); and Regione Campania FASE2: IDEAL (CUP B53D18000080007). We thank C. Fisher for linguistic editing.
Conflict of Interest: The authors declare no competing interests.
Ethical Statement: This article does not contain any studies with human participants or animals performed by any of the authors.
Rights and permissions
Copyright information
© 2019 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Dell’Aversana, C., Sarno, F., Conte, M., Giorgio, C., Altucci, L. (2019). Advanced Assays in Epigenetics. In: Mai, A. (eds) Chemical Epigenetics. Topics in Medicinal Chemistry, vol 33. Springer, Cham. https://doi.org/10.1007/7355_2019_82
Download citation
DOI: https://doi.org/10.1007/7355_2019_82
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-42981-2
Online ISBN: 978-3-030-42982-9
eBook Packages: Chemistry and Materials ScienceChemistry and Material Science (R0)