Abstract
Within the last decade, single-cell analysis has revolutionized our understanding of cellular processes and heterogeneity across all disciplines of life science. As the transcriptome, genome, or epigenome of individual cells can nowadays be analyzed at low cost and in high-throughput within a few days by modern techniques, tremendous improvements in disease diagnosis on the one hand and the investigation of disease-relevant mechanisms on the other were achieved so far. This relies on the parallel development of reliable cell capturing and single-cell sequencing approaches that have paved the way for comprehensive single-cell studies. Apart from single-cell isolation methods in high-throughput, a variety of methods with distinct specializations were developed, allowing for correlation of transcriptomics with cellular parameters like electrophysiology or morphology.
For all single-cell-based approaches, accurate and reliable isolation with proper quality controls is prerequisite, whereby different options exist dependent on sample type and tissue properties. Careful consideration of an appropriate method is required to avoid incorrect or biased data that may lead to misinterpretations.
In this chapter, we will provide a broad overview of the current state of the art in matters of single-cell isolation methods mostly applied for sequencing-based downstream analysis, and their respective advantages and drawbacks. Distinct technologies will be discussed in detail addressing key parameters like sample compatibility, viability, purity, throughput, and isolation efficiency.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Tung PY et al (2017) Batch effects and the effective design of single-cell gene expression studies. Sci Rep 7:39921. https://doi.org/10.1038/srep39921
Gross A et al (2015) Technologies for single-cell isolation. Int J Mol Sci 16:16897–16919. https://doi.org/10.3390/ijms160816897
Kolodziejczyk AA, Kim JK, Svensson V, Marioni JC, Teichmann SA (2015) The technology and biology of single-cell RNA sequencing. Mol Cell 58:610–620. https://doi.org/10.1016/j.molcel.2015.04.005
Hwang B, Lee JH, Bang D (2018) Single-cell RNA sequencing technologies and bioinformatics pipelines. Exp Mol Med 50:96. https://doi.org/10.1038/s12276-018-0071-8
van den Brink SC et al (2017) Single-cell sequencing reveals dissociation-induced gene expression in tissue subpopulations. Nat Methods 14:935–936. https://doi.org/10.1038/nmeth.4437
Xiong L, Lee H, Ishitani M, Zhu J-K (2002) Regulation of osmotic stress-responsive gene expression by the LOS6/ABA1 locus in Arabidopsis. J Biol Chem 277:8588–8596
Romero-Santacreu L, Moreno J, Perez-Ortin JE, Alepuz P (2009) Specific and global regulation of mRNA stability during osmotic stress in Saccharomyces cerevisiae. RNA 15:1110–1120. https://doi.org/10.1261/rna.1435709
Ilie M et al (2014) Current challenges for detection of circulating tumor cells and cell-free circulating nucleic acids, and their characterization in non-small cell lung carcinoma patients. What is the best blood substrate for personalized medicine? Ann Transl Med 2:107
Hu P, Zhang W, Xin H, Deng G (2016) Single cell isolation and analysis. Front Cell Dev Biol 4:116. https://doi.org/10.3389/fcell.2016.00116
Chen G, Ning B, Shi T (2019) Single-cell RNA-seq technologies and related computational data analysis. Front Genet 10:317. https://doi.org/10.3389/fgene.2019.00317
Mardis ER (2008) The impact of next-generation sequencing technology on genetics. Trends Genet 24:133–141. https://doi.org/10.1016/j.tig.2007.12.007
Adam M, Potter AS, Potter SS (2017) Psychrophilic proteases dramatically reduce single-cell RNA-seq artifacts: a molecular atlas of kidney development. Development 144:3625–3632. https://doi.org/10.1242/dev.151142
Lafzi A, Moutinho C, Picelli S, Heyn H (2018) Tutorial: guidelines for the experimental design of single-cell RNA sequencing studies. Nat Protoc 13:2742–2757. https://doi.org/10.1038/s41596-018-0073-y
Autengruber A, Gereke M, Hansen G, Hennig C, Bruder D (2012) Impact of enzymatic tissue disintegration on the level of surface molecule expression and immune cell function. Eur J Microbiol Immunol 2:112
Sanchez-Adams J, Athanasiou KA (2012) Regional effects of enzymatic digestion on knee meniscus cell yield and phenotype for tissue engineering. Tissue Eng Part C Methods 18:235–243. https://doi.org/10.1089/ten.TEC.2011.0383
Jahan-Tigh RR, Ryan C, Obermoser G, Schwarzenberger K (2012) Flow cytometry. J Invest Dermatol 132:1–6. https://doi.org/10.1038/jid.2012.282
Qiu X, De Jesus J, Pennell M, Troiani M, Haun JB (2015) Microfluidic device for mechanical dissociation of cancer cell aggregates into single cells. Lab Chip 15:339–350. https://doi.org/10.1039/c4lc01126k
Meeson A, Fuller A, Breault DT, Owens WA, Richardson GD (2013) Optimised protocols for the identification of the murine cardiac side population. Stem Cell Rev Rep 9:731–739. https://doi.org/10.1007/s12015-013-9440-9
Baldan V, Griffiths R, Hawkins RE, Gilham DE (2015) Efficient and reproducible generation of tumour-infiltrating lymphocytes for renal cell carcinoma. Br J Cancer 112:1510–1518. https://doi.org/10.1038/bjc.2015.96
Guillaumet-Adkins A et al (2017) Single-cell transcriptome conservation in cryopreserved cells and tissues. Genome Biol 18:45. https://doi.org/10.1186/s13059-017-1171-9
Alles J et al (2017) Cell fixation and preservation for droplet-based single-cell transcriptomics. BMC Biol 15:44. https://doi.org/10.1186/s12915-017-0383-5
Wang W, Penland L, Gokce O, Croote D, Quake SR (2018) High fidelity hypothermic preservation of primary tissues in organ transplant preservative for single cell transcriptome analysis. BMC Genomics 19:140
Lacar B et al (2016) Nuclear RNA-seq of single neurons reveals molecular signatures of activation. Nat Commun 7:11022
Krishnaswami SR et al (2016) Using single nuclei for RNA-seq to capture the transcriptome of postmortem neurons. Nat Protoc 11:499
Habib N (2016) Div-Seq: single-nucleus RNA-seq reveals dynamics of rare adult newborn neurons. Science 353:925
Bakken TE et al (2018) Single-nucleus and single-cell transcriptomes compared in matched cortical cell types. PLoS One 13:e0209648. https://doi.org/10.1371/journal.pone.0209648
Lake BB et al (2018) Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain. Nat Biotechnol 36:70–80. https://doi.org/10.1038/nbt.4038
Habib N et al (2017) Massively parallel single-nucleus RNA-seq with DroNc-seq. Nat Methods 14:955–958. https://doi.org/10.1038/nmeth.4407
Zheng GX et al (2017) Massively parallel digital transcriptional profiling of single cells. Nat Commun 8:14049. https://doi.org/10.1038/ncomms14049
Grindberg RV et al (2013) RNA-sequencing from single nuclei. Proc Natl Acad Sci U S A 110:19802–19807. https://doi.org/10.1073/pnas.1319700110
Lake BB et al (2016) Neuronal subtypes and diversity revealed by single-nucleus RNA sequencing of the human brain. Science 352:1586–1590. https://doi.org/10.1126/science.aaf1204
Thomsen ER et al (2016) Fixed single-cell transcriptomic characterization of human radial glial diversity. Nat Methods 13:87–93. https://doi.org/10.1038/nmeth.3629
Cho H et al (2018) Microfluidic technologies for circulating tumor cell isolation. Analyst 143:2936–2970. https://doi.org/10.1039/c7an01979c
Huang Q, Mao S, Khan M, Lin JM (2019) Single-cell assay on microfluidic devices. Analyst 144:808–823. https://doi.org/10.1039/c8an01079j
Radbruch A, Recktenwald D (1995) Detection and isolation of rare cells. Curr Opin Immunol 7:270–273
Will B, Steidl U (2010) Multi-parameter fluorescence-activated cell sorting and analysis of stem and progenitor cells in myeloid malignancies. Best Pract Res Clin Haematol 23:391–401. https://doi.org/10.1016/j.beha.2010.06.006
Kornbluth J, Hoover RG (1989) Immunobiology of HLA. Springer, New York, NY, pp 150–152
Christaki E et al (2011) A monoclonal antibody against rage alters gene expression and is protective in experimental models of sepsis and pneumococcal pneumonia. Shock 35:492–498. https://doi.org/10.1097/SHK.0b013e31820b2e1c
Victora GD et al (2010) Germinal center dynamics revealed by multiphoton microscopy with a photoactivatable fluorescent reporter. Cell 143:592–605. https://doi.org/10.1016/j.cell.2010.10.032
Medaglia C et al (2017) Spatial reconstruction of immune niches by combining photoactivatable reporters and scRNA-seq. Science 358:1622–1626. https://doi.org/10.1126/science.aao4277
Patterson GH, Lippincott-Schwartz J (2002) A photoactivatable GFP for selective photolabeling of proteins and cells. Science 297:1873–1877. https://doi.org/10.1126/science.1074952
Tsutsui H et al (2009) The E1 mechanism in photo-induced beta-elimination reactions for green-to-red conversion of fluorescent proteins. Chem Biol 16:1140–1147. https://doi.org/10.1016/j.chembiol.2009.10.010
Chtanova T et al (2014) Real-time interactive two-photon photoconversion of recirculating lymphocytes for discontinuous cell tracking in live adult mice. J Biophotonics 7:425–433. https://doi.org/10.1002/jbio.201200175
Suan D et al (2015) T follicular helper cells have distinct modes of migration and molecular signatures in naive and memory immune responses. Immunity 42:704–718. https://doi.org/10.1016/j.immuni.2015.03.002
Jiang L et al (2011) Synthetic spike-in standards for RNA-seq experiments. Genome Res 21:1543–1551. https://doi.org/10.1101/gr.121095.111
Hardwick SA et al (2016) Spliced synthetic genes as internal controls in RNA sequencing experiments. Nat Methods 13:792–798. https://doi.org/10.1038/Nmeth.3958
Yilmaz S, Singh AK (2012) Single cell genome sequencing. Curr Opin Biotechnol 23:437–443. https://doi.org/10.1016/j.copbio.2011.11.018
Tang F et al (2009) mRNA-seq whole-transcriptome analysis of a single cell. Nat Methods 6:377–382. https://doi.org/10.1038/nmeth.1315
Pensold D et al (2017) The DNA methyltransferase 1 (DNMT1) controls the shape and dynamics of migrating POA-derived interneurons fated for the murine cerebral cortex. Cereb Cortex 27:5696–5714. https://doi.org/10.1093/cercor/bhw341
Gerstmann K et al (2015) Thalamic afferents influence cortical progenitors via ephrin A5-EphA4 interactions. Development 142:140–150. https://doi.org/10.1242/dev.104927
Hempel CM, Sugino K, Nelson SB (2007) A manual method for the purification of fluorescently labeled neurons from the mammalian brain. Nat Protoc 2:2924–2929. https://doi.org/10.1038/nprot.2007.416
Grindberg RV et al (2011) Single cell genome amplification accelerates identification of the apratoxin biosynthetic pathway from a complex microbial assemblage. PLoS One 6:e18565. https://doi.org/10.1371/journal.pone.0018565
Xue Z et al (2013) Genetic programs in human and mouse early embryos revealed by single-cell RNA sequencing. Nature 500:593–597. https://doi.org/10.1038/nature12364
Bengtsson M, Stahlberg A, Rorsman P, Kubista M (2005) Gene expression profiling in single cells from the pancreatic islets of Langerhans reveals lognormal distribution of mRNA levels. Genome Res 15:1388–1392. https://doi.org/10.1101/gr.3820805
Guo G et al (2010) Resolution of cell fate decisions revealed by single-cell gene expression analysis from zygote to blastocyst. Dev Cell 18:675–685. https://doi.org/10.1016/j.devcel.2010.02.012
Hodne K, Haug TM, Weltzien FA (2010) Single-cell qPCR on dispersed primary pituitary cells - an optimized protocol. BMC Mol Biol 11:82. https://doi.org/10.1186/1471-2199-11-82
Citri A, Pang ZPP, Sudhof TC, Wernig M, Malenka RC (2012) Comprehensive qPCR profiling of gene expression in single neuronal cells. Nat Protoc 7:118–127. https://doi.org/10.1038/nprot.2011.430
Li HH et al (1988) Amplification and analysis of DNA sequences in single human sperm and diploid cells. Nature 335:414–417. https://doi.org/10.1038/335414a0
Eberwine J et al (1992) Analysis of gene expression in single live neurons. Proc Natl Acad Sci U S A 89:3010–3014. https://doi.org/10.1073/pnas.89.7.3010
Nguyen QH, Pervolarakis N, Nee K, Kessenbrock K (2018) Experimental considerations for single-cell RNA sequencing approaches. Front Cell Dev Biol 6:108. https://doi.org/10.3389/fcell.2018.00108
Schoendube J, Wright D, Zengerle R, Koltay P (2015) Single-cell printing based on impedance detection. Biomicrofluidics 9:014117. https://doi.org/10.1063/1.4907896
Cho SH, Chen CH, Tsai FS, Godin J, Lo YH (2010) Mammalian cell sorting using muFACS. Lab Chip 10:1567
Yusof A et al (2011) Inkjet-like printing of single-cells. Lab Chip 11:2447–2454. https://doi.org/10.1039/c1lc20176j
Liss BJ (2002) Improved quantitative real-time RT–PCR for expression profiling of individual cells. Nucleic Acids Res 30:e89
Monyer H, Lambolez B (1995) Molecular biology and physiology at the single-cell level. Curr Opin Neurobiol 5:382–387
Tsuzuki K, Lambolez B, Rossier J, Ozawa S (2001) Absolute quantification of AMPA receptor subunit mRNAs in single hippocampal neurons. J Neurochem 77:1650–1659. https://doi.org/10.1046/j.1471-4159.2001.00388.x
Lu Z et al (2010) 2010 IEEE International Conference on Robotics and Automation. IEEE, Washington, DC, pp 494–499
Frohlich J, Konig H (2000) New techniques for isolation of single prokaryotic cells. FEMS Microbiol Rev 24:567–572
Brehm-Stecher BF, Johnson EA (2004) Single-cell microbiology: tools, technologies, and applications. Microbiol Mol Biol Rev 68:538–559. https://doi.org/10.1128/MMBR.68.3.538-559.2004. Table of contents
Wright G, Tucker MJ, Morton PC, Sweitzer-Yoder CL, Smith SE (1998) Micromanipulation in assisted reproduction: a review of current technology. Curr Opin Obstet Gynecol 10:221–226
Li CX et al (2011) New cell separation technique for the isolation and analysis of cells from biological mixtures in forensic caseworks. Croat Med J 52:293–298. https://doi.org/10.3325/cmj.2011.52.293
Hongoh Y et al (2008) Complete genome of the uncultured Termite Group 1 bacteria in a single host protist cell. Proc Natl Acad Sci U S A 105:5555–5560. https://doi.org/10.1073/pnas.0801389105
Kvist T, Ahring BK, Lasken RS, Westermann P (2007) Specific single-cell isolation and genomic amplification of uncultured microorganisms. Appl Microbiol Biotechnol 74:926–935. https://doi.org/10.1007/s00253-006-0725-7
Ramskold D et al (2012) Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells. Nat Biotechnol 30:777–782. https://doi.org/10.1038/nbt.2282
Emmert-Buck MR et al (1996) Laser capture microdissection. Science 274:998–1001. https://doi.org/10.1126/science.274.5289.998
Espina V, Heiby M, Pierobon M, Liotta LA (2007) Laser capture microdissection technology. Expert Rev Mol Diagn 7:647–657. https://doi.org/10.1586/14737159.7.5.647
Fend F, Raffeld M (2000) Laser capture microdissection in pathology. J Clin Pathol 53:666–672. https://doi.org/10.1136/jcp.53.9.666
Foley JW et al (2019) Gene-expression profiling of single cells from archival tissue with laser-capture microdissection and Smart-3SEQ. Genome Res 29:1816
Esposito G (2007) Microarray technology and cancer gene profiling. Springer, New York, NY, pp 54–65
Nakamura N et al (2007) Single cell diagnostics. Springer, New York, NY, pp 11–18
Walch A et al (2001) Tissue microdissection techniques in quantitative genome and gene expression analyses. Histochem Cell Biol 115:269–276
Bonner RF et al (1997) Laser capture microdissection: molecular analysis of tissue. Science 278:1481–1483. https://doi.org/10.1126/science.278.5342.1481
Schüitze K, Lahr GJ (1998) Identification of expressed genes by laser-mediated manipulation of single cells. Nat Biotechnol 16:737
Podgorny OV (2013) Live cell isolation by laser microdissection with gravity transfer. J Biomed Opt 18:55002. https://doi.org/10.1117/1.JBO.18.5.055002
Hodne K, Weltzien FA (2015) Single-cell isolation and gene analysis: pitfalls and possibilities. Int J Mol Sci 16:26832–26849. https://doi.org/10.3390/ijms161125996
Bohm M, Wieland I, Schutze K, Rubben H (1997) Microbeam MOMeNT: non-contact laser microdissection of membrane-mounted native tissue. Am J Pathol 151:63–67
Bevilacqua C, Makhzami S, Helbling JC, Defrenaix P, Martin P (2010) Maintaining RNA integrity in a homogeneous population of mammary epithelial cells isolated by laser capture microdissection. BMC Cell Biol 11:95. https://doi.org/10.1186/1471-2121-11-95
DeCarlo K, Emley A, Dadzie OE, Mahalingam M (2011) Laser capture microdissection. Springer, New York, NY, pp 1–15
Liu A (2010) Laser capture microdissection in the tissue biorepository. J Biomol Tech 21:120–125
Keays KM, Owens GP, Ritchie AM, Gilden DH, Burgoon MP (2005) Laser capture microdissection and single-cell RT-PCR without RNA purification. J Immunol Methods 302:90–98. https://doi.org/10.1016/j.jim.2005.04.018
Vandewoestyne M, Deforce D (2010) Laser capture microdissection in forensic research: a review. Int J Legal Med 124:513–521. https://doi.org/10.1007/s00414-010-0499-4
Fink L, Kwapiszewska G, Wilhelm J, Bohle RM (2006) Laser-microdissection for cell type- and compartment-specific analyses on genomic and proteomic level. Exp Toxicol Pathol 57(Suppl 2):25–29. https://doi.org/10.1016/j.etp.2006.02.010
Fink L, Bohle RM (2005) Laser capture microdissection. Springer, New York, NY, pp 167–185
Moldavan A (1934) Photo-electric technique for the counting of microscopical cells. Science 80:188–189. https://doi.org/10.1126/science.80.2069.188
Gucker FT Jr, O’Konski CT, Pickard HB, Pitts JN Jr (1947) A photoelectronic counter for colloidal particles1. J Am Chem Soc 69:2422–2431
Fulwyler MJ (1965) Electronic separation of biological cells by volume. Science 150:910–911. https://doi.org/10.1126/science.150.3698.910
Shapiro HM (2005) Practical flow cytometry. John Wiley & Sons, New York, NY
Herzenberg LA et al (2002) The history and future of the fluorescence activated cell sorter and flow cytometry: a view from Stanford. Clin Chem 48:1819–1827
Nguyen A, Khoo WH, Moran I, Croucher PI, Phan TG (2018) Single cell RNA sequencing of rare immune cell populations. Front Immunol 9:1553. https://doi.org/10.3389/fimmu.2018.01553
Wilson NK et al (2015) Combined single-cell functional and gene expression analysis resolves heterogeneity within stem cell populations. Cell Stem Cell 16:712–724. https://doi.org/10.1016/j.stem.2015.04.004
Paul F et al (2015) Transcriptional heterogeneity and lineage commitment in myeloid progenitors. Cell 163:1663–1677. https://doi.org/10.1016/j.cell.2015.11.013
Jaitin DA et al (2014) Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types. Science 343:776–779. https://doi.org/10.1126/science.1247651
Mollet M, Godoy-Silva R, Berdugo C, Chalmers JJ (2008) Computer simulations of the energy dissipation rate in a fluorescence-activated cell sorter: implications to cells. Biotechnol Bioeng 100:260–272. https://doi.org/10.1002/bit.21762
Shapiro E, Biezuner T, Linnarsson S (2013) Single-cell sequencing-based technologies will revolutionize whole-organism science. Nat Rev Genet 14:618–630. https://doi.org/10.1038/nrg3542
Hashimshony T et al (2016) CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq. Genome Biol 17:77. https://doi.org/10.1186/s13059-016-0938-8
Valet G (2003) Past and present concepts in flow cytometry: a European perspective. J Biol Regul Homeost Agents 17:213–222
Iriondo O, Rabano M, Vivanco MD (2015) FACS sorting mammary stem cells. Methods Mol Biol 1293:63–72. https://doi.org/10.1007/978-1-4939-2519-3_3
Brown M, Wittwer C (2000) Flow cytometry: principles and clinical applications in hematology. Clin Chem 46:1221–1229
Davey HM, Kell DB (1996) Flow cytometry and cell sorting of heterogeneous microbial populations: the importance of single-cell analyses. Microbiol Rev 60:641–696
Lacombe F, Belloc F (1996) Flow cytometry study of cell cycle, apoptosis and drug resistance in acute leukemia. Hematol Cell Ther 38:495–504
McCoy JP Jr, Carey JL (1990) Recent advances in flow cytometric techniques for cancer detection and prognosis. Immunol Ser 53:171–187
Guo MT, Rotem A, Heyman JA, Weitz DA (2012) Droplet microfluidics for high-throughput biological assays. Lab Chip 12:2146–2155. https://doi.org/10.1039/c2lc21147e
Sims CE, Allbritton NL (2007) Analysis of single mammalian cells on-chip. Lab Chip 7:423–440. https://doi.org/10.1039/b615235j
Lecault V, White AK, Singhal A, Hansen CL (2012) Microfluidic single cell analysis: from promise to practice. Curr Opin Chem Biol 16:381–390. https://doi.org/10.1016/j.cbpa.2012.03.022
Gomez-Sjoberg R, Leyrat AA, Pirone DM, Chen CS, Quake SR (2007) Versatile, fully automated, microfluidic cell culture system. Anal Chem 79:8557–8563. https://doi.org/10.1021/ac071311w
Di Carlo D, Wu LY, Lee LP (2006) Dynamic single cell culture array. Lab Chip 6:1445–1449. https://doi.org/10.1039/b605937f
Brouzes E et al (2009) Droplet microfluidic technology for single-cell high-throughput screening. Proc Natl Acad Sci U S A 106:14195–14200. https://doi.org/10.1073/pnas.0903542106
Klein AM et al (2015) Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells. Cell 161:1187–1201. https://doi.org/10.1016/j.cell.2015.04.044
Macosko EZ et al (2015) Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets. Cell 161:1202–1214. https://doi.org/10.1016/j.cell.2015.05.002
Piggee C (2009) Optical tweezers: not just for physicists anymore. Anal Chem 81:16–19. https://doi.org/10.1021/ac8023203
Ashkin A, Dziedzic JM, Yamane T (1987) Optical trapping and manipulation of single cells using infrared laser beams. Nature 330:769–771. https://doi.org/10.1038/330769a0
Di Trapani M, Manaresi N, Medoro G (2018) DEPArray system: an automatic image-based sorter for isolation of pure circulating tumor cells. Cytometry A 93:1260–1266. https://doi.org/10.1002/cyto.a.23687
Zhang P et al (2015) Raman-activated cell sorting based on dielectrophoretic single-cell trap and release. Anal Chem 87:2282–2289. https://doi.org/10.1021/ac503974e
Torres AJ, Hill AS, Love JC (2014) Nanowell-based immunoassays for measuring single-cell secretion: characterization of transport and surface binding. Anal Chem 86:11562–11569. https://doi.org/10.1021/ac4030297
Han X et al (2018) Mapping the mouse cell atlas by microwell-seq. Cell 172:1091–1107.e17
Kim KT et al (2015) Single-cell mRNA sequencing identifies subclonal heterogeneity in anti-cancer drug responses of lung adenocarcinoma cells. Genome Biol 16:127. https://doi.org/10.1186/s13059-015-0692-3
Revzin A, Sekine K, Sin A, Tompkins RG, Toner M (2005) Development of a microfabricated cytometry platform for characterization and sorting of individual leukocytes. Lab Chip 5:30–37. https://doi.org/10.1039/b405557h
Chen Q, Wu J, Zhang Y, Lin Z, Lin JM (2012) Targeted isolation and analysis of single tumor cells with aptamer-encoded microwell array on microfluidic device. Lab Chip 12:5180–5185. https://doi.org/10.1039/c2lc40858a
Warkiani ME et al (2016) Ultra-fast, label-free isolation of circulating tumor cells from blood using spiral microfluidics. Nat Protoc 11:134–148. https://doi.org/10.1038/nprot.2016.003
Kemna EW et al (2012) High-yield cell ordering and deterministic cell-in-droplet encapsulation using Dean flow in a curved microchannel. Lab Chip 12:2881–2887. https://doi.org/10.1039/c2lc00013j
Unger MA, Chou HP, Thorsen T, Scherer A, Quake SR (2000) Monolithic microfabricated valves and pumps by multilayer soft lithography. Science 288:113–116. https://doi.org/10.1126/science.288.5463.113
Prakadan SM, Shalek AK, Weitz DA (2017) Scaling by shrinking: empowering single-cell ‘omics’ with microfluidic devices. Nat Rev Genet 18:345
Lu Y, Yang L, Wei W, Shi Q (2017) Microchip-based single-cell functional proteomics for biomedical applications. Lab Chip 17:1250–1263. https://doi.org/10.1039/C7LC00037E
Murphy TW, Zhang Q, Naler LB, Ma S, Lu C (2018) Recent advances in the use of microfluidic technologies for single cell analysis. Analyst 143:60–80. https://doi.org/10.1039/C7AN01346A
Streets AM et al (2014) Microfluidic single-cell whole-transcriptome sequencing. Proc Natl Acad Sci U S A 111:7048–7053. https://doi.org/10.1073/pnas.1402030111
Choi S, Song S, Choi C, Park JK (2007) Continuous blood cell separation by hydrophoretic filtration. Lab Chip 7:1532–1538. https://doi.org/10.1039/b705203k
Earhart CM et al (2014) Isolation and mutational analysis of circulating tumor cells from lung cancer patients with magnetic sifters and biochips. Lab Chip 14:78–88. https://doi.org/10.1039/c3lc50580d
Lu X, Xuan X (2015) Continuous microfluidic particle separation via elasto-inertial pinched flow fractionation. Anal Chem 87:6389–6396. https://doi.org/10.1021/acs.analchem.5b01432
Karimi A, Yazdi S, Ardekani AM (2013) Hydrodynamic mechanisms of cell and particle trapping in microfluidics. Biomicrofluidics 7:21501. https://doi.org/10.1063/1.4799787
Lutz BR, Chen J, Schwartz DT (2006) Hydrodynamic tweezers: 1. Noncontact trapping of single cells using steady streaming microeddies. Anal Chem 78:5429–5435. https://doi.org/10.1021/ac060555y
Joensson HN, Svahn HA (2012) Droplet microfluidics—a tool for single-cell analysis. Angew Chem Int Ed 51:12176–12192
Seemann R, Brinkmann M, Pfohl T, Herminghaus S (2012) Droplet based microfluidics. Rep Prog Phys 75:016601. https://doi.org/10.1088/0034-4885/75/1/016601
Edd JF et al (2008) Controlled encapsulation of single-cells into monodisperse picolitre drops. Lab Chip 8:1262–1264. https://doi.org/10.1039/b805456h
Zilionis R et al (2017) Single-cell barcoding and sequencing using droplet microfluidics. Nat Protoc 12:44. https://doi.org/10.1038/nprot.2016.154
Collins DJ, Neild A, deMello A, Liu AQ, Ai Y (2015) The Poisson distribution and beyond: methods for microfluidic droplet production and single cell encapsulation. Lab Chip 15:3439–3459. https://doi.org/10.1039/c5lc00614g
Koster S et al (2008) Drop-based microfluidic devices for encapsulation of single cells. Lab Chip 8:1110–1115. https://doi.org/10.1039/b802941e
Stoeckius M et al (2017) Simultaneous epitope and transcriptome measurement in single cells. Nat Methods 14:865–868. https://doi.org/10.1038/nmeth.4380
Macaulay IC et al (2015) G&T-seq: parallel sequencing of single-cell genomes and transcriptomes. Nat Methods 12:519. https://doi.org/10.1038/nmeth.3370
Angermueller C et al (2016) Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity. Nat Methods 13:229–232. https://doi.org/10.1038/nmeth.3728
Clark SJ et al (2018) scNMT-seq enables joint profiling of chromatin accessibility DNA methylation and transcription in single cells. Nat Commun 9:781. https://doi.org/10.1038/s41467-018-03149-4
Wheeler AR et al (2003) Microfluidic device for single-cell analysis. Anal Chem 75:3581–3586. https://doi.org/10.1021/ac0340758
Pantoja R et al (2004) Silicon chip-based patch-clamp electrodes integrated with PDMS microfluidics. Biosens Bioelectron 20:509–517. https://doi.org/10.1016/j.bios.2004.02.020
Wu AR et al (2014) Quantitative assessment of single-cell RNA-sequencing methods. Nat Methods 11:41–46. https://doi.org/10.1038/nmeth.2694
Wu H, Wheeler A, Zare RN (2004) Chemical cytometry on a picoliter-scale integrated microfluidic chip. Proc Natl Acad Sci U S A 101:12809–12813. https://doi.org/10.1073/pnas.0405299101
Hong JW, Studer V, Hang G, Anderson WF, Quake SR (2004) A nanoliter-scale nucleic acid processor with parallel architecture. Nat Biotechnol 22:435–439. https://doi.org/10.1038/nbt951
Acknowledgement
Funding: This work was funded by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)—368482240/GRK2416.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this chapter
Cite this chapter
Pensold, D., Zimmer-Bensch, G. (2020). Methods for Single-Cell Isolation and Preparation. In: Yu, B., Zhang, J., Zeng, Y., Li, L., Wang, X. (eds) Single-cell Sequencing and Methylation. Advances in Experimental Medicine and Biology, vol 1255. Springer, Singapore. https://doi.org/10.1007/978-981-15-4494-1_2
Download citation
DOI: https://doi.org/10.1007/978-981-15-4494-1_2
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-4493-4
Online ISBN: 978-981-15-4494-1
eBook Packages: Biomedical and Life SciencesBiomedical and Life Sciences (R0)