메뉴 건너뛰기




Volumn 18, Issue 1, 2017, Pages

Challenges and emerging directions in single-cell analysis

(15)  Yuan, Guo Cheng a,b   Cai, Long c   Elowitz, Michael d   Enver, Tariq e   Fan, Guoping f   Guo, Guoji g   Irizarry, Rafael a,b   Kharchenko, Peter h   Kim, Junhyong i   Orkin, Stuart a,j,k   Quackenbush, John a,b   Saadatpour, Assieh a,b   Schroeder, Timm l   Shivdasani, Ramesh a   Tirosh, Itay m  


Author keywords

[No Author keywords available]

Indexed keywords

CELL FUNCTION; CELL HETEROGENEITY; CELL LINEAGE; CELL POPULATION; CELLS BY BODY ANATOMY; CRISPR CAS SYSTEM; GENE EXPRESSION; HUMAN; IN SITU HYBRIDIZATION; LETTER; MOLECULAR BIOLOGY; MOLECULAR DYNAMICS; NONHUMAN; PREDICTION; RNA SEQUENCE; SINGLE CELL ANALYSIS; STREPTOCOCCUS PYOGENES; TRANSCRIPTOMICS; ANIMAL; FLUORESCENCE IMAGING; GENE EXPRESSION PROFILING; PROCEDURES;

EID: 85019078781     PISSN: 14747596     EISSN: 1474760X     Source Type: Journal    
DOI: 10.1186/s13059-017-1218-y     Document Type: Letter
Times cited : (238)

References (93)
  • 2
    • 84894624480 scopus 로고    scopus 로고
    • Dissecting genomic diversity, one cell at a time
    • Blainey PC, Quake SR. Dissecting genomic diversity, one cell at a time. Nat Methods. 2014;11:19-21.
    • (2014) Nat Methods. , vol.11 , pp. 19-21
    • Blainey, P.C.1    Quake, S.R.2
  • 3
    • 84894630323 scopus 로고    scopus 로고
    • Entering the era of single-cell transcriptomics in biology and medicine
    • Sandberg R. Entering the era of single-cell transcriptomics in biology and medicine. Nat Methods. 2014;11:22-4.
    • (2014) Nat Methods. , vol.11 , pp. 22-24
    • Sandberg, R.1
  • 4
    • 84965146271 scopus 로고    scopus 로고
    • Mass cytometry: single cells, many features
    • Spitzer MH, Nolan GP. Mass cytometry: single cells, many features. Cell. 2016;165:780-91.
    • (2016) Cell. , vol.165 , pp. 780-791
    • Spitzer, M.H.1    Nolan, G.P.2
  • 5
    • 84889246623 scopus 로고    scopus 로고
    • Single-cell metabolomics: analytical and biological perspectives
    • Zenobi R. Single-cell metabolomics: analytical and biological perspectives. Science. 2013;342:1243259.
    • (2013) Science. , vol.342 , pp. 1243259
    • Zenobi, R.1
  • 6
    • 84900529199 scopus 로고    scopus 로고
    • Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq
    • Treutlein B, Brownfield DG, Wu AR, Neff NF, Mantalas GL, Espinoza FH, et al. Reconstructing lineage hierarchies of the distal lung epithelium using single-cell RNA-seq. Nature. 2014;509:371-5.
    • (2014) Nature. , vol.509 , pp. 371-375
    • Treutlein, B.1    Brownfield, D.G.2    Wu, A.R.3    Neff, N.F.4    Mantalas, G.L.5    Espinoza, F.H.6
  • 7
    • 84924565530 scopus 로고    scopus 로고
    • Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq
    • Zeisel A, Munoz-Manchado AB, Codeluppi S, Lonnerberg P, La Manno G, Jureus A, et al. Brain structure. Cell types in the mouse cortex and hippocampus revealed by single-cell RNA-seq. Science. 2015;347:1138-42.
    • (2015) Science. , vol.347 , pp. 1138-1142
    • Zeisel, A.1    Munoz-Manchado, A.B.2    Codeluppi, S.3    Lonnerberg, P.4    Manno, G.5    Jureus, A.6
  • 8
    • 84983741021 scopus 로고    scopus 로고
    • Comprehensive classification of retinal bipolar neurons by single-cell transcriptomics
    • Shekhar K, Lapan SW, Whitney IE, Tran NM, Macosko EZ, Kowalczyk M, et al. Comprehensive classification of retinal bipolar neurons by single-cell transcriptomics. Cell. 2016;166:1308-23. e1330.
    • (2016) Cell , vol.166 , pp. 1308-1323
    • Shekhar, K.1    Lapan, S.W.2    Whitney, I.E.3    Tran, N.M.4    Macosko, E.Z.5    Kowalczyk, M.6
  • 9
    • 84900873950 scopus 로고    scopus 로고
    • The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
    • Trapnell C, Cacchiarelli D, Grimsby J, Pokharel P, Li S, Morse M, et al. The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat Biotechnol. 2014;32:381-6.
    • (2014) Nat Biotechnol. , vol.32 , pp. 381-386
    • Trapnell, C.1    Cacchiarelli, D.2    Grimsby, J.3    Pokharel, P.4    Li, S.5    Morse, M.6
  • 10
    • 84899574465 scopus 로고    scopus 로고
    • Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development
    • Bendall SC, Davis KL, Amir e-AD, Tadmor MD, Simonds EF, Chen TJ, et al. Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development. Cell. 2014;157:714-25.
    • (2014) Cell , vol.157 , pp. 714-725
    • Bendall, S.C.1    Davis, K.L.2    Amir, E.-A.D.3    Tadmor, M.D.4    Simonds, E.F.5    Chen, T.J.6
  • 11
    • 84924365758 scopus 로고    scopus 로고
    • Bifurcation analysis of single-cell gene expression data reveals epigenetic landscape
    • Marco E, Karp RL, Guo G, Robson P, Hart AH, Trippa L, et al. Bifurcation analysis of single-cell gene expression data reveals epigenetic landscape. Proc Natl Acad Sci U S A. 2014;111:E5643-50.
    • (2014) Proc Natl Acad Sci U S A. , vol.111 , pp. E5643-E5650
    • Marco, E.1    Karp, R.L.2    Guo, G.3    Robson, P.4    Hart, A.H.5    Trippa, L.6
  • 14
    • 84885172419 scopus 로고    scopus 로고
    • Mapping cellular hierarchy by single-cell analysis of the cell surface repertoire
    • Guo G, Luc S, Marco E, Lin TW, Peng C, Kerenyi MA, et al. Mapping cellular hierarchy by single-cell analysis of the cell surface repertoire. Cell Stem Cell. 2013;13:492-505.
    • (2013) Cell Stem Cell. , vol.13 , pp. 492-505
    • Guo, G.1    Luc, S.2    Marco, E.3    Lin, T.W.4    Peng, C.5    Kerenyi, M.A.6
  • 15
    • 84950290139 scopus 로고    scopus 로고
    • Transcriptional heterogeneity and lineage commitment in myeloid progenitors
    • Paul F, Arkin Y, Giladi A, Jaitin DA, Kenigsberg E, Keren-Shaul H, et al. Transcriptional heterogeneity and lineage commitment in myeloid progenitors. Cell. 2015;163:1663-77.
    • (2015) Cell. , vol.163 , pp. 1663-1677
    • Paul, F.1    Arkin, Y.2    Giladi, A.3    Jaitin, D.A.4    Kenigsberg, E.5    Keren-Shaul, H.6
  • 18
    • 79961092157 scopus 로고    scopus 로고
    • Transcriptome transfer provides a model for understanding the phenotype of cardiomyocytes
    • Kim TK, Sul JY, Peternko NB, Lee JH, Lee M, Patel VV, et al. Transcriptome transfer provides a model for understanding the phenotype of cardiomyocytes. Proc Natl Acad Sci U S A. 2011;108:11918-23.
    • (2011) Proc Natl Acad Sci U S A. , vol.108 , pp. 11918-11923
    • Kim, T.K.1    Sul, J.Y.2    Peternko, N.B.3    Lee, J.H.4    Lee, M.5    Patel, V.V.6
  • 19
    • 77953535926 scopus 로고    scopus 로고
    • RNA: state memory and mediator of cellular phenotype
    • Kim J, Eberwine J. RNA: state memory and mediator of cellular phenotype. Trends Cell Biol. 2010;20:311-8.
    • (2010) Trends Cell Biol. , vol.20 , pp. 311-318
    • Kim, J.1    Eberwine, J.2
  • 20
    • 84891354380 scopus 로고    scopus 로고
    • Reproducible copy number variation patterns among single circulating tumor cells of lung cancer patients
    • Ni X, Zhuo M, Su Z, Duan J, Gao Y, Wang Z, et al. Reproducible copy number variation patterns among single circulating tumor cells of lung cancer patients. Proc Natl Acad Sci U S A. 2013;110:21083-8.
    • (2013) Proc Natl Acad Sci U S A. , vol.110 , pp. 21083-21088
    • Ni, X.1    Zhuo, M.2    Su, Z.3    Duan, J.4    Gao, Y.5    Wang, Z.6
  • 21
    • 84906238686 scopus 로고    scopus 로고
    • Clonal evolution in breast cancer revealed by single nucleus genome sequencing
    • Wang Y, Waters J, Leung ML, Unruh A, Roh W, Shi X, et al. Clonal evolution in breast cancer revealed by single nucleus genome sequencing. Nature. 2014;512:155-60.
    • (2014) Nature. , vol.512 , pp. 155-160
    • Wang, Y.1    Waters, J.2    Leung, M.L.3    Unruh, A.4    Roh, W.5    Shi, X.6
  • 22
    • 84919372228 scopus 로고    scopus 로고
    • Dissecting the clonal origins of childhood acute lymphoblastic leukemia by single-cell genomics
    • Gawad C, Koh W, Quake SR. Dissecting the clonal origins of childhood acute lymphoblastic leukemia by single-cell genomics. Proc Natl Acad Sci U S A. 2014;111:17947-52.
    • (2014) Proc Natl Acad Sci U S A. , vol.111 , pp. 17947-17952
    • Gawad, C.1    Koh, W.2    Quake, S.R.3
  • 23
    • 84963614956 scopus 로고    scopus 로고
    • Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
    • Tirosh I, Izar B, Prakadan SM, Wadsworth 2nd MH, Treacy D, Trombetta JJ, et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq. Science. 2016;352:189-96.
    • (2016) Science. , vol.352 , pp. 189-196
    • Tirosh, I.1    Izar, B.2    Prakadan, S.M.3    Wadsworth, M.H.4    Treacy, D.5    Trombetta, J.J.6
  • 24
    • 84962658087 scopus 로고    scopus 로고
    • Design and computational analysis of single-cell RNA-sequencing experiments
    • Bacher R, Kendziorski C. Design and computational analysis of single-cell RNA-sequencing experiments. Genome Biol. 2016;17:63.
    • (2016) Genome Biol. , vol.17 , pp. 63
    • Bacher, R.1    Kendziorski, C.2
  • 25
    • 84994908824 scopus 로고    scopus 로고
    • Challenges in long-term imaging and quantification of single-cell dynamics
    • Skylaki S, Hilsenbeck O, Schroeder T. Challenges in long-term imaging and quantification of single-cell dynamics. Nat Biotechnol. 2016;34:1137-44.
    • (2016) Nat Biotechnol. , vol.34 , pp. 1137-1144
    • Skylaki, S.1    Hilsenbeck, O.2    Schroeder, T.3
  • 26
    • 84994860357 scopus 로고    scopus 로고
    • Revealing the vectors of cellular identity with single-cell genomics
    • Wagner A, Regev A, Yosef N. Revealing the vectors of cellular identity with single-cell genomics. Nat Biotechnol. 2016;34:1145-60.
    • (2016) Nat Biotechnol. , vol.34 , pp. 1145-1160
    • Wagner, A.1    Regev, A.2    Yosef, N.3
  • 27
    • 84923292191 scopus 로고    scopus 로고
    • Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells
    • Buettner F, Natarajan KN, Casale FP, Proserpio V, Scialdone A, Theis FJ, et al. Computational analysis of cell-to-cell heterogeneity in single-cell RNA-sequencing data reveals hidden subpopulations of cells. Nat Biotechnol. 2015;33:155-60.
    • (2015) Nat Biotechnol. , vol.33 , pp. 155-160
    • Buettner, F.1    Natarajan, K.N.2    Casale, F.P.3    Proserpio, V.4    Scialdone, A.5    Theis, F.J.6
  • 28
    • 84903574951 scopus 로고    scopus 로고
    • Bayesian approach to single-cell differential expression analysis
    • Kharchenko PV, Silberstein L, Scadden DT. Bayesian approach to single-cell differential expression analysis. Nat Methods. 2014;11:740-2.
    • (2014) Nat Methods. , vol.11 , pp. 740-742
    • Kharchenko, P.V.1    Silberstein, L.2    Scadden, D.T.3
  • 29
    • 84964556059 scopus 로고    scopus 로고
    • Pooling across cells to normalize single-cell RNA sequencing data with many zero counts
    • Lun AT, Bach K, Marioni JC. Pooling across cells to normalize single-cell RNA sequencing data with many zero counts. Genome Biol. 2016;17:75.
    • (2016) Genome Biol. , vol.17 , pp. 75
    • Lun, A.T.1    Bach, K.2    Marioni, J.C.3
  • 30
    • 84951574149 scopus 로고    scopus 로고
    • MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data
    • Finak G, McDavid A, Yajima M, Deng J, Gersuk V, Shalek AK, et al. MAST: a flexible statistical framework for assessing transcriptional changes and characterizing heterogeneity in single-cell RNA sequencing data. Genome Biol. 2015;16:278.
    • (2015) Genome Biol. , vol.16 , pp. 278
    • Finak, G.1    McDavid, A.2    Yajima, M.3    Deng, J.4    Gersuk, V.5    Shalek, A.K.6
  • 31
    • 84962641396 scopus 로고    scopus 로고
    • On the widespread and critical impact of systematic bias and batch effects in single-cell RNA-Seq data
    • bioRxiv.
    • Hicks SC, Teng M, Irizarry RA. On the widespread and critical impact of systematic bias and batch effects in single-cell RNA-Seq data. bioRxiv. 2015. doi: 10.1101/025528.
    • (2015)
    • Hicks, S.C.1    Teng, M.2    Irizarry, R.A.3
  • 32
    • 84895562012 scopus 로고    scopus 로고
    • From single-cell to cell-pool transcriptomes: stochasticity in gene expression and RNA splicing
    • Marinov GK, Williams BA, McCue K, Schroth GP, Gertz J, Myers RM, et al. From single-cell to cell-pool transcriptomes: stochasticity in gene expression and RNA splicing. Genome Res. 2014;24:496-510.
    • (2014) Genome Res. , vol.24 , pp. 496-510
    • Marinov, G.K.1    Williams, B.A.2    McCue, K.3    Schroth, G.P.4    Gertz, J.5    Myers, R.M.6
  • 33
    • 84939170642 scopus 로고    scopus 로고
    • Deep sequencing reveals cell-type-specific patterns of single-cell transcriptome variation
    • Dueck H, Khaladkar M, Kim TK, Spaethling JM, Francis C, Suresh S, et al. Deep sequencing reveals cell-type-specific patterns of single-cell transcriptome variation. Genome Biol. 2015;16:122.
    • (2015) Genome Biol. , vol.16 , pp. 122
    • Dueck, H.1    Khaladkar, M.2    Kim, T.K.3    Spaethling, J.M.4    Francis, C.5    Suresh, S.6
  • 36
  • 39
    • 33749026335 scopus 로고    scopus 로고
    • Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM)
    • Rust MJ, Bates M, Zhuang X. Sub-diffraction-limit imaging by stochastic optical reconstruction microscopy (STORM). Nat Methods. 2006;3:793-5.
    • (2006) Nat Methods. , vol.3 , pp. 793-795
    • Rust, M.J.1    Bates, M.2    Zhuang, X.3
  • 40
    • 84863202666 scopus 로고    scopus 로고
    • Single-cell systems biology by super-resolution imaging and combinatorial labeling
    • Lubeck E, Cai L. Single-cell systems biology by super-resolution imaging and combinatorial labeling. Nat Methods. 2012;9:743-8.
    • (2012) Nat Methods. , vol.9 , pp. 743-748
    • Lubeck, E.1    Cai, L.2
  • 44
    • 84928395184 scopus 로고    scopus 로고
    • RNA imaging. Spatially resolved, highly multiplexed RNA profiling in single cells
    • Chen KH, Boettiger AN, Moffitt JR, Wang S, Zhuang X. RNA imaging. Spatially resolved, highly multiplexed RNA profiling in single cells. Science. 2015;348:aaa6090.
    • (2015) Science , vol.348
    • Chen, K.H.1    Boettiger, A.N.2    Moffitt, J.R.3    Wang, S.4    Zhuang, X.5
  • 45
    • 84989818902 scopus 로고    scopus 로고
    • High-throughput single-cell gene-expression profiling with multiplexed error-robust fluorescence in situ hybridization
    • Moffitt JR, Hao J, Wang G, Chen KH, Babcock HP, Zhuang X. High-throughput single-cell gene-expression profiling with multiplexed error-robust fluorescence in situ hybridization. Proc Natl Acad Sci U S A. 2016;113:11046-51.
    • (2016) Proc Natl Acad Sci U S A. , vol.113 , pp. 11046-11051
    • Moffitt, J.R.1    Hao, J.2    Wang, G.3    Chen, K.H.4    Babcock, H.P.5    Zhuang, X.6
  • 46
    • 84983001578 scopus 로고    scopus 로고
    • Single-molecule RNA detection at depth by hybridization chain reaction and tissue hydrogel embedding and clearing
    • Shah S, Lubeck E, Schwarzkopf M, He TF, Greenbaum A, Sohn CH, et al. Single-molecule RNA detection at depth by hybridization chain reaction and tissue hydrogel embedding and clearing. Development. 2016;143:2862-7.
    • (2016) Development. , vol.143 , pp. 2862-2867
    • Shah, S.1    Lubeck, E.2    Schwarzkopf, M.3    He, T.F.4    Greenbaum, A.5    Sohn, C.H.6
  • 48
    • 84992437479 scopus 로고    scopus 로고
    • In situ transcription profiling of single cells reveals spatial organization of cells in the mouse hippocampus
    • Shah S, Lubeck E, Zhou W, Cai L. In situ transcription profiling of single cells reveals spatial organization of cells in the mouse hippocampus. Neuron. 2016;92:342-57.
    • (2016) Neuron. , vol.92 , pp. 342-357
    • Shah, S.1    Lubeck, E.2    Zhou, W.3    Cai, L.4
  • 51
    • 84921845941 scopus 로고    scopus 로고
    • Optical imaging. Expansion microscopy
    • Chen F, Tillberg PW, Boyden ES. Optical imaging. Expansion microscopy. Science. 2015;347:543-8.
    • (2015) Science. , vol.347 , pp. 543-548
    • Chen, F.1    Tillberg, P.W.2    Boyden, E.S.3
  • 52
    • 84976273978 scopus 로고    scopus 로고
    • Dense transcript profiling in single cells by image correlation decoding
    • Coskun AF, Cai L. Dense transcript profiling in single cells by image correlation decoding. Nat Methods. 2016;13:657-60.
    • (2016) Nat Methods. , vol.13 , pp. 657-660
    • Coskun, A.F.1    Cai, L.2
  • 53
    • 84922629832 scopus 로고    scopus 로고
    • Quantitative single-cell approaches to stem cell research
    • Etzrodt M, Endele M, Schroeder T. Quantitative single-cell approaches to stem cell research. Cell Stem Cell. 2014;15:546-58.
    • (2014) Cell Stem Cell. , vol.15 , pp. 546-558
    • Etzrodt, M.1    Endele, M.2    Schroeder, T.3
  • 55
    • 85011341602 scopus 로고    scopus 로고
    • Massively parallel whole-organism lineage tracing using CRISPR/Cas9 induced genetic scars
    • Junker JP, Spanjaard B, Peterson-Maduro J, Alemany A, Hu B, Florescu M, et al. Massively parallel whole-organism lineage tracing using CRISPR/Cas9 induced genetic scars. bioRxiv. 2016. doi: 10.1101/056499.
    • (2016) bioRxiv
    • Junker, J.P.1    Spanjaard, B.2    Peterson-Maduro, J.3    Alemany, A.4    Hu, B.5    Florescu, M.6
  • 56
    • 85015591616 scopus 로고    scopus 로고
    • Continuous genetic recording with self-1 targeting CRISPR-Cas in human cells
    • Perli SD, Cui CH, Lu TK. Continuous genetic recording with self-1 targeting CRISPR-Cas in human cells. Science. 2016;353:aag0511.
    • (2016) Science , vol.353
    • Perli, S.D.1    Cui, C.H.2    Lu, T.K.3
  • 57
    • 85019143041 scopus 로고    scopus 로고
    • Quantitative analysis of synthetic cell lineage tracing using nuclease barcoding
    • Schmidt ST, Zimmerman SM, Wang J, Kim SK, Quake SR. Quantitative analysis of synthetic cell lineage tracing using nuclease barcoding. ACS Synth Biol. 2017. doi: 10.1021/acssynbio.6b00309.
    • (2017) ACS Synth Biol
    • Schmidt, S.T.1    Zimmerman, S.M.2    Wang, J.3    Kim, S.K.4    Quake, S.R.5
  • 58
    • 85002263454 scopus 로고    scopus 로고
    • Rapidly evolving homing CRISPR barcodes
    • Kalhor R, Mali P, Church GM. Rapidly evolving homing CRISPR barcodes. Nat Methods. 2017;14:195-200.
    • (2017) Nat Methods. , vol.14 , pp. 195-200
    • Kalhor, R.1    Mali, P.2    Church, G.M.3
  • 59
  • 62
    • 84965048064 scopus 로고    scopus 로고
    • Simultaneous profiling of transcriptome and DNA methylome from a single cell
    • Hu Y, Huang K, An Q, Du G, Hu G, Xue J, et al. Simultaneous profiling of transcriptome and DNA methylome from a single cell. Genome Biol. 2016;17:88.
    • (2016) Genome Biol. , vol.17 , pp. 88
    • Hu, Y.1    Huang, K.2    An, Q.3    Du, G.4    Hu, G.5    Xue, J.6
  • 63
    • 84960091878 scopus 로고    scopus 로고
    • Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas
    • Hou Y, Guo H, Cao C, Li X, Hu B, Zhu P, et al. Single-cell triple omics sequencing reveals genetic, epigenetic, and transcriptomic heterogeneity in hepatocellular carcinomas. Cell Res. 2016;26:304-19.
    • (2016) Cell Res. , vol.26 , pp. 304-319
    • Hou, Y.1    Guo, H.2    Cao, C.3    Li, X.4    Hu, B.5    Zhu, P.6
  • 65
    • 84988014533 scopus 로고    scopus 로고
    • Multiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reaction
    • Genshaft AS, Li S, Gallant CJ, Darmanis S, Prakadan SM, Ziegler CG, et al. Multiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reaction. Genome Biol. 2016;17:188.
    • (2016) Genome Biol. , vol.17 , pp. 188
    • Genshaft, A.S.1    Li, S.2    Gallant, C.J.3    Darmanis, S.4    Prakadan, S.M.5    Ziegler, C.G.6
  • 67
    • 84980417141 scopus 로고    scopus 로고
    • Spatial organization of chromatin domains and compartments in single chromosomes
    • Wang S, Su JH, Beliveau BJ, Bintu B, Moffitt JR, Wu CT, et al. Spatial organization of chromatin domains and compartments in single chromosomes. Science. 2016;353:598-602.
    • (2016) Science. , vol.353 , pp. 598-602
    • Wang, S.1    Su, J.H.2    Beliveau, B.J.3    Bintu, B.4    Moffitt, J.R.5    Wu, C.T.6
  • 68
    • 84934442835 scopus 로고    scopus 로고
    • Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis
    • Levine JH, Simonds EF, Bendall SC, Davis KL, el Amir AD, Tadmor MD, et al. Data-driven phenotypic dissection of AML reveals progenitor-like cells that correlate with prognosis. Cell. 2015;162:184-97.
    • (2015) Cell. , vol.162 , pp. 184-197
    • Levine, J.H.1    Simonds, E.F.2    Bendall, S.C.3    Davis, K.L.4    Amir, A.D.5    Tadmor, M.D.6
  • 69
    • 84931072284 scopus 로고    scopus 로고
    • Identification of cell types from single-cell transcriptomes using a novel clustering method
    • Xu C, Su Z. Identification of cell types from single-cell transcriptomes using a novel clustering method. Bioinformatics. 2015;31:1974-80.
    • (2015) Bioinformatics. , vol.31 , pp. 1974-1980
    • Xu, C.1    Su, Z.2
  • 70
    • 84941201582 scopus 로고    scopus 로고
    • Single-cell messenger RNA sequencing reveals rare intestinal cell types
    • Grun D, Lyubimova A, Kester L, Wiebrands K, Basak O, Sasaki N, et al. Single-cell messenger RNA sequencing reveals rare intestinal cell types. Nature. 2015;525:251-5.
    • (2015) Nature. , vol.525 , pp. 251-255
    • Grun, D.1    Lyubimova, A.2    Kester, L.3    Wiebrands, K.4    Basak, O.5    Sasaki, N.6
  • 71
    • 84976875133 scopus 로고    scopus 로고
    • GiniClust: detecting rare cell types from single-cell gene expression data with Gini index
    • Jiang L, Chen H, Pinello L, Yuan GC. GiniClust: detecting rare cell types from single-cell gene expression data with Gini index. Genome Biol. 2016;17:144.
    • (2016) Genome Biol. , vol.17 , pp. 144
    • Jiang, L.1    Chen, H.2    Pinello, L.3    Yuan, G.C.4
  • 72
    • 84992108405 scopus 로고    scopus 로고
    • Dirichlet process mixture model for correcting technical variation in single-cell gene expression data
    • Prabhakaran S, Azizi E, Carr A, Pe'er D. Dirichlet process mixture model for correcting technical variation in single-cell gene expression data. J Mach Learn Res. 2016;48:1070-9.
    • (2016) J Mach Learn Res. , vol.48 , pp. 1070-1079
    • Prabhakaran, S.1    Azizi, E.2    Carr, A.3    Pe'er, D.4
  • 73
    • 84952628356 scopus 로고    scopus 로고
    • Inflammation-induced emergency megakaryopoiesis driven by hematopoietic stem cell-like megakaryocyte progenitors
    • Haas S, Hansson J, Klimmeck D, Loeffler D, Velten L, Uckelmann H, et al. Inflammation-induced emergency megakaryopoiesis driven by hematopoietic stem cell-like megakaryocyte progenitors. Cell Stem Cell. 2015;17:422-34.
    • (2015) Cell Stem Cell. , vol.17 , pp. 422-434
    • Haas, S.1    Hansson, J.2    Klimmeck, D.3    Loeffler, D.4    Velten, L.5    Uckelmann, H.6
  • 74
    • 84958103478 scopus 로고    scopus 로고
    • Single-cell RNA-sequencing reveals a continuous spectrum of differentiation in hematopoietic cells
    • Macaulay IC, Svensson V, Labalette C, Ferreira L, Hamey F, Voet T, et al. Single-cell RNA-sequencing reveals a continuous spectrum of differentiation in hematopoietic cells. Cell Rep. 2016;14:966-77.
    • (2016) Cell Rep. , vol.14 , pp. 966-977
    • Macaulay, I.C.1    Svensson, V.2    Labalette, C.3    Ferreira, L.4    Hamey, F.5    Voet, T.6
  • 75
    • 0014489272 scopus 로고
    • Metabolic stability and epigenesis in randomly constructed genetic nets
    • Kauffman SA. Metabolic stability and epigenesis in randomly constructed genetic nets. J Theor Biol. 1969;22:437-67.
    • (1969) J Theor Biol. , vol.22 , pp. 437-467
    • Kauffman, S.A.1
  • 77
    • 85019160563 scopus 로고    scopus 로고
    • Single-cell entropy for quantification of differentiation potency from a cell's transcriptome
    • Teschendorff AE. Single-cell entropy for quantification of differentiation potency from a cell's transcriptome. bioRxiv. 2016. doi: 10.1101/084202.
    • (2016) bioRxiv
    • Teschendorff, A.E.1
  • 78
    • 84940446838 scopus 로고    scopus 로고
    • Combined single-cell functional and gene expression analysis resolves heterogeneity within stem cell populations
    • Wilson NK, Kent DG, Buettner F, Shehata M, Macaulay IC, Calero-Nieto FJ, et al. Combined single-cell functional and gene expression analysis resolves heterogeneity within stem cell populations. Cell Stem Cell. 2015;16:712-24.
    • (2015) Cell Stem Cell. , vol.16 , pp. 712-724
    • Wilson, N.K.1    Kent, D.G.2    Buettner, F.3    Shehata, M.4    Macaulay, I.C.5    Calero-Nieto, F.J.6
  • 79
    • 84962229210 scopus 로고    scopus 로고
    • Single-cell RNA sequencing reveals molecular and functional platelet bias of aged haematopoietic stem cells
    • Grover A, Sanjuan-Pla A, Thongjuea S, Carrelha J, Giustacchini A, Gambardella A, et al. Single-cell RNA sequencing reveals molecular and functional platelet bias of aged haematopoietic stem cells. Nat Commun. 2016;7:11075.
    • (2016) Nat Commun. , vol.7 , pp. 11075
    • Grover, A.1    Sanjuan-Pla, A.2    Thongjuea, S.3    Carrelha, J.4    Giustacchini, A.5    Gambardella, A.6
  • 81
    • 84892749369 scopus 로고    scopus 로고
    • Genetic screens in human cells using the CRISPR-Cas9 system
    • Wang T, Wei JJ, Sabatini DM, Lander ES. Genetic screens in human cells using the CRISPR-Cas9 system. Science. 2014;343:80-4.
    • (2014) Science. , vol.343 , pp. 80-84
    • Wang, T.1    Wei, J.J.2    Sabatini, D.M.3    Lander, E.S.4
  • 82
    • 85006488344 scopus 로고    scopus 로고
    • Perturb-Seq: dissecting molecular circuits with scalable single-cell RNA profiling of pooled genetic screens
    • Dixit A, Parnas O, Li B, Chen J, Fulco CP, Jerby-Arnon L, et al. Perturb-Seq: dissecting molecular circuits with scalable single-cell RNA profiling of pooled genetic screens. Cell. 2016;167:1853-66. e1817.
    • (2016) Cell , vol.167 , pp. 1853-1866
    • Dixit, A.1    Parnas, O.2    Li, B.3    Chen, J.4    Fulco, C.P.5    Jerby-Arnon, L.6
  • 83
    • 85006269827 scopus 로고    scopus 로고
    • Dissecting immune circuits by linking CRISPR-pooled screens with single-cell RNA-Seq
    • Jaitin DA, Weiner A, Yofe I, Lara-Astiaso D, Keren-Shaul H, David E, et al. Dissecting immune circuits by linking CRISPR-pooled screens with single-cell RNA-Seq. Cell. 2016;167:1883-96. e1815.
    • (2016) Cell , vol.167 , pp. 1883-1896
    • Jaitin, D.A.1    Weiner, A.2    Yofe, I.3    Lara-Astiaso, D.4    Keren-Shaul, H.5    David, E.6
  • 84
    • 85006345820 scopus 로고    scopus 로고
    • A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response
    • Adamson B, Norman TM, Jost M, Cho MY, Nunez JK, Chen Y, et al. A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response. Cell. 2016;167:1867-82. e1821.
    • (2016) Cell , vol.167 , pp. 1867-1882
    • Adamson, B.1    Norman, T.M.2    Jost, M.3    Cho, M.Y.4    Nunez, J.K.5    Chen, Y.6
  • 88
    • 85010223944 scopus 로고    scopus 로고
    • Recent progress in single-cell cancer genomics
    • Tsoucas D, Yuan GC. Recent progress in single-cell cancer genomics. Curr Opin Genet Dev. 2017;42:22-32.
    • (2017) Curr Opin Genet Dev. , vol.42 , pp. 22-32
    • Tsoucas, D.1    Yuan, G.C.2
  • 89
  • 90
    • 84976498763 scopus 로고    scopus 로고
    • Single-cell whole genome sequencing reveals no evidence for common aneuploidy in normal and Alzheimer's disease neurons
    • van den Bos H, Spierings DC, Taudt AS, Bakker B, Porubsky D, Falconer E, et al. Single-cell whole genome sequencing reveals no evidence for common aneuploidy in normal and Alzheimer's disease neurons. Genome Biol. 2016;17:116.
    • (2016) Genome Biol. , vol.17 , pp. 116
    • Bos, H.1    Spierings, D.C.2    Taudt, A.S.3    Bakker, B.4    Porubsky, D.5    Falconer, E.6
  • 92
    • 84965186343 scopus 로고    scopus 로고
    • Characterizing heterogeneity in leukemic cells using single-cell gene expression analysis
    • Saadatpour A, Guo G, Orkin SH, Yuan GC. Characterizing heterogeneity in leukemic cells using single-cell gene expression analysis. Genome Biol. 2014;15:525.
    • (2014) Genome Biol. , vol.15 , pp. 525
    • Saadatpour, A.1    Guo, G.2    Orkin, S.H.3    Yuan, G.C.4
  • 93
    • 84942025227 scopus 로고    scopus 로고
    • Interdisciplinary research by the numbers
    • Van Noorden R. Interdisciplinary research by the numbers. Nature. 2015;525:306-7.
    • (2015) Nature. , vol.525 , pp. 306-307
    • Noorden, R.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.