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Volumn 15, Issue 5, 2018, Pages 379-386

FateID infers cell fate bias in multipotent progenitors from single-cell RNA-seq data

Author keywords

[No Author keywords available]

Indexed keywords

CD34 ANTIGEN; CD79A ANTIGEN; CELL SURFACE MARKER; INTERLEUKIN 7 RECEPTOR; RAG1 PROTEIN; TRANSCRIPTION FACTOR GATA 1; TRANSCRIPTION FACTOR PAX5; TRANSCRIPTOME;

EID: 85046274437     PISSN: 15487091     EISSN: 15487105     Source Type: Journal    
DOI: 10.1038/nmeth.4662     Document Type: Article
Times cited : (233)

References (45)
  • 1
    • 84950290139 scopus 로고    scopus 로고
    • Transcriptional heterogeneity and lineage commitment in myeloid progenitors
    • Paul, F. et al. Transcriptional heterogeneity and lineage commitment in myeloid progenitors. Cell 163, 1663-1677 (2015).
    • (2015) Cell , vol.163 , pp. 1663-1677
    • Paul, F.1
  • 2
    • 85015695567 scopus 로고    scopus 로고
    • Human haematopoietic stem cell lineage commitment is a continuous process
    • Velten, L. et al. Human haematopoietic stem cell lineage commitment is a continuous process. Nat. Cell Biol. 19, 271-281 (2017).
    • (2017) Nat. Cell Biol. , vol.19 , pp. 271-281
    • Velten, L.1
  • 3
    • 84989962489 scopus 로고    scopus 로고
    • Single-cell analysis of mixed-lineage states leading to a binary cell fate choice
    • Olsson, A. et al. Single-cell analysis of mixed-lineage states leading to a binary cell fate choice. Nature 537, 698-702 (2016).
    • (2016) Nature , vol.537 , pp. 698-702
    • Olsson, A.1
  • 4
    • 85009113270 scopus 로고    scopus 로고
    • A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation
    • Nestorowa, S. et al. A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation. Blood 128, e20-e31 (2016).
    • (2016) Blood , vol.128 , pp. e20-e31
    • Nestorowa, S.1
  • 5
    • 84962050673 scopus 로고    scopus 로고
    • Distinct myeloid progenitor-differentiation pathways identified through single-cell RNA sequencing
    • Drissen, R. et al. Distinct myeloid progenitor-differentiation pathways identified through single-cell RNA sequencing. Nat. Immunol. 17, 666-676 (2016).
    • (2016) Nat. Immunol. , vol.17 , pp. 666-676
    • Drissen, R.1
  • 6
    • 84950283224 scopus 로고    scopus 로고
    • The branching point in erythro-myeloid differentiation
    • Perié, L., Duffy, K.R., Kok, L., de Boer, R.J. & Schumacher, T.N. The branching point in erythro-myeloid differentiation. Cell 163, 1655-1662 (2015).
    • (2015) Cell , vol.163 , pp. 1655-1662
    • Perié, L.1    Duffy, K.R.2    Kok, L.3    De Boer, R.J.4    Schumacher, T.N.5
  • 7
    • 84924038121 scopus 로고    scopus 로고
    • Fundamental properties of unperturbed haematopoiesis from stem cells in vivo
    • Busch, K. et al. Fundamental properties of unperturbed haematopoiesis from stem cells in vivo. Nature 518, 542-546 (2015).
    • (2015) Nature , vol.518 , pp. 542-546
    • Busch, K.1
  • 8
    • 84995806677 scopus 로고    scopus 로고
    • Epigenetic memory underlies cell-autonomous heterogeneous behavior of hematopoietic stem cells
    • Yu, V.W.C. et al. Epigenetic memory underlies cell-autonomous heterogeneous behavior of hematopoietic stem cells. Cell 167, 1310-1322 (2016).
    • (2016) Cell , vol.167 , pp. 1310-1322
    • Yu, V.W.C.1
  • 9
    • 39349096526 scopus 로고    scopus 로고
    • Hematopoiesis: An evolving paradigm for stem cell biology
    • Orkin, S.H. & Zon, L.I. Hematopoiesis: an evolving paradigm for stem cell biology. Cell 132, 631-644 (2008).
    • (2008) Cell , vol.132 , pp. 631-644
    • Orkin, S.H.1    Zon, L.I.2
  • 11
    • 84974587998 scopus 로고    scopus 로고
    • Wishbone identifies bifurcating developmental trajectories from single-cell data
    • Setty, M. et al. Wishbone identifies bifurcating developmental trajectories from single-cell data. Nat. Biotechnol. 34, 637-645 (2016).
    • (2016) Nat. Biotechnol. , vol.34 , pp. 637-645
    • Setty, M.1
  • 12
    • 84924365758 scopus 로고    scopus 로고
    • Bifurcation analysis of single-cell gene expression data reveals epigenetic landscape
    • Marco, E. et al. Bifurcation analysis of single-cell gene expression data reveals epigenetic landscape. Proc. Natl. Acad. Sci. USA 111, E5643-E5650 (2014).
    • (2014) Proc. Natl. Acad. Sci. USA , vol.111 , pp. E5643-E5650
    • Marco, E.1
  • 13
    • 84977080410 scopus 로고    scopus 로고
    • Mpath maps multi-branching single-cell trajectories revealing progenitor cell progression during development
    • Chen, J., Schlitzer, A., Chakarov, S., Ginhoux, F. & Poidinger, M. Mpath maps multi-branching single-cell trajectories revealing progenitor cell progression during development. Nat. Commun. 7, 11988 (2016).
    • (2016) Nat. Commun. , vol.7 , pp. 11988
    • Chen, J.1    Schlitzer, A.2    Chakarov, S.3    Ginhoux, F.4    Poidinger, M.5
  • 14
    • 84964452502 scopus 로고    scopus 로고
    • CEL-Seq2: Sensitive highly-multiplexed single-cell RNA-Seq
    • Hashimshony, T. et al. CEL-Seq2: sensitive highly-multiplexed single-cell RNA-Seq. Genome Biol. 17, 77 (2016).
    • (2016) Genome Biol. , vol.17 , pp. 77
    • Hashimshony, T.1
  • 15
    • 85014524493 scopus 로고    scopus 로고
    • Power analysis of single-cell RNA-sequencing experiments
    • Svensson, V. et al. Power analysis of single-cell RNA-sequencing experiments. Nat. Methods 14, 381-387 (2017).
    • (2017) Nat. Methods , vol.14 , pp. 381-387
    • Svensson, V.1
  • 16
    • 85013200683 scopus 로고    scopus 로고
    • Comparative analysis of single-cell RNA sequencing methods
    • Ziegenhain, C. et al. Comparative analysis of single-cell RNA sequencing methods. Mol. Cell 65, 631-643 (2017).
    • (2017) Mol. Cell , vol.65 , pp. 631-643
    • Ziegenhain, C.1
  • 17
    • 85009446777 scopus 로고    scopus 로고
    • Massively parallel digital transcriptional profiling of single cells
    • Zheng, G.X.Y. et al. Massively parallel digital transcriptional profiling of single cells. Nat. Commun. 8, 14049 (2017).
    • (2017) Nat. Commun. , vol.8 , pp. 14049
    • Zheng, G.X.Y.1
  • 18
    • 84990895380 scopus 로고    scopus 로고
    • De novo prediction of stem cell identity using single-cell transcriptome data
    • Grün, D. et al. De novo prediction of stem cell identity using single-cell transcriptome data. Cell Stem Cell 19, 266-277 (2016).
    • (2016) Cell Stem Cell , vol.19 , pp. 266-277
    • Grün, D.1
  • 20
    • 84929684999 scopus 로고    scopus 로고
    • Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
    • Macosko, E.Z. et al. Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets. Cell 161, 1202-1214 (2015).
    • (2015) Cell , vol.161 , pp. 1202-1214
    • Macosko, E.Z.1
  • 21
    • 85016121177 scopus 로고    scopus 로고
    • SC3: Consensus clustering of single-cell RNA-seq data
    • Kiselev, V.Y. et al. SC3: consensus clustering of single-cell RNA-seq data. Nat. Methods 14, 483-486 (2017).
    • (2017) Nat. Methods , vol.14 , pp. 483-486
    • Kiselev, V.Y.1
  • 22
    • 85015654390 scopus 로고    scopus 로고
    • Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors
    • Li, H. et al. Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors. Nat. Genet. 49, 708-718 (2017).
    • (2017) Nat. Genet. , vol.49 , pp. 708-718
    • Li, H.1
  • 23
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • Breiman, L. Random forests. Mach. Learn. 45, 5-32 (2001).
    • (2001) Mach. Learn. , vol.45 , pp. 5-32
    • Breiman, L.1
  • 26
    • 76249131631 scopus 로고    scopus 로고
    • Asynchronous RAG-1 expression during B lymphopoiesis
    • Welner, R.S. et al. Asynchronous RAG-1 expression during B lymphopoiesis. J. Immunol. 183, 7768-7777 (2009).
    • (2009) J. Immunol. , vol.183 , pp. 7768-7777
    • Welner, R.S.1
  • 27
    • 0037988844 scopus 로고    scopus 로고
    • The lymphoid past of mouse plasmacytoid cells and thymic dendritic cells
    • Corcoran, L. et al. The lymphoid past of mouse plasmacytoid cells and thymic dendritic cells. J. Immunol. 170, 4926-4932 (2003).
    • (2003) J. Immunol. , vol.170 , pp. 4926-4932
    • Corcoran, L.1
  • 28
    • 70350093398 scopus 로고    scopus 로고
    • Ly6d marks the earliest stage of B-cell specification and identifies the branchpoint between B-cell and T-cell development
    • Inlay, M.A. et al. Ly6d marks the earliest stage of B-cell specification and identifies the branchpoint between B-cell and T-cell development. Genes Dev. 23, 2376-2381 (2009).
    • (2009) Genes Dev. , vol.23 , pp. 2376-2381
    • Inlay, M.A.1
  • 29
    • 85031017685 scopus 로고    scopus 로고
    • Reversed graph embedding resolves complex single-cell trajectories
    • Qiu, X. et al. Reversed graph embedding resolves complex single-cell trajectories. Nat. Methods 14, 979-982 (2017).
    • (2017) Nat. Methods , vol.14 , pp. 979-982
    • Qiu, X.1
  • 30
    • 84937023176 scopus 로고    scopus 로고
    • Functionally distinct subsets of lineage-biased multipotent progenitors control blood production in normal and regenerative conditions
    • Pietras, E.M. et al. Functionally distinct subsets of lineage-biased multipotent progenitors control blood production in normal and regenerative conditions. Cell Stem Cell 17, 35-46 (2015).
    • (2015) Cell Stem Cell , vol.17 , pp. 35-46
    • Pietras, E.M.1
  • 31
    • 84955164174 scopus 로고    scopus 로고
    • Distinct routes of lineage development reshape the human blood hierarchy across ontogeny
    • Notta, F. et al. Distinct routes of lineage development reshape the human blood hierarchy across ontogeny. Science 351, aab2116 (2016).
    • (2016) Science , vol.351 , pp. aab2116
    • Notta, F.1
  • 32
    • 84922541996 scopus 로고    scopus 로고
    • Identification of regulatory networks in HSCs and their immediate progeny via integrated proteome, transcriptome, and DNA methylome analysis
    • Cabezas-Wallscheid, N. et al. Identification of regulatory networks in HSCs and their immediate progeny via integrated proteome, transcriptome, and DNA methylome analysis. Cell Stem Cell 15, 507-522 (2014).
    • (2014) Cell Stem Cell , vol.15 , pp. 507-522
    • Cabezas-Wallscheid, N.1
  • 33
    • 84872093721 scopus 로고    scopus 로고
    • Convergent differentiation: Myeloid and lymphoid pathways to murine plasmacytoid dendritic cells
    • Sathe, P., Vremec, D., Wu, L., Corcoran, L. & Shortman, K. Convergent differentiation: myeloid and lymphoid pathways to murine plasmacytoid dendritic cells. Blood 121, 11-19 (2013).
    • (2013) Blood , vol.121 , pp. 11-19
    • Sathe, P.1    Vremec, D.2    Wu, L.3    Corcoran, L.4    Shortman, K.5
  • 34
    • 84878177936 scopus 로고    scopus 로고
    • A clonogenic progenitor with prominent plasmacytoid dendritic cell developmental potential
    • Onai, N. et al. A clonogenic progenitor with prominent plasmacytoid dendritic cell developmental potential. Immunity 38, 943-957 (2013).
    • (2013) Immunity , vol.38 , pp. 943-957
    • Onai, N.1
  • 35
    • 35548970740 scopus 로고    scopus 로고
    • + plasmacytoid and conventional dendritic cell progenitors in mouse bone marrow
    • + plasmacytoid and conventional dendritic cell progenitors in mouse bone marrow. Nat. Immunol. 8, 1207-1216 (2007).
    • (2007) Nat. Immunol. , vol.8 , pp. 1207-1216
    • Onai, N.1
  • 36
    • 84898603050 scopus 로고    scopus 로고
    • Separation of plasmacytoid dendritic cells from B-cell-biased lymphoid progenitor (BLP) and pre-pro B cells using PDCA-1
    • Medina, K.L. et al. Separation of plasmacytoid dendritic cells from B-cell-biased lymphoid progenitor (BLP) and pre-pro B cells using PDCA-1. PLoS One 8, e78408 (2013).
    • (2013) PloS One , vol.8 , pp. e78408
    • Medina, K.L.1
  • 37
    • 85018582872 scopus 로고    scopus 로고
    • Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors
    • Villani, A.-C. et al. Single-cell RNA-seq reveals new types of human blood dendritic cells, monocytes, and progenitors. Science 356, eaah4573 (2017).
    • (2017) Science , vol.356 , pp. eaah4573
    • Villani, A.-C.1
  • 38
    • 85027934223 scopus 로고    scopus 로고
    • Mapping the human DC lineage through the integration of high-dimensional techniques
    • See, P. et al. Mapping the human DC lineage through the integration of high-dimensional techniques. Science 356, eaag3009 (2017).
    • (2017) Science , vol.356 , pp. eaag3009
    • See, P.1
  • 39
    • 35549000134 scopus 로고    scopus 로고
    • Development of plasmacytoid and conventional dendritic cell subtypes from single precursor cells derived in vitro and in vivo
    • Naik, S.H. et al. Development of plasmacytoid and conventional dendritic cell subtypes from single precursor cells derived in vitro and in vivo. Nat. Immunol. 8, 1217-1226 (2007).
    • (2007) Nat. Immunol. , vol.8 , pp. 1217-1226
    • Naik, S.H.1
  • 40
    • 77949587649 scopus 로고    scopus 로고
    • Fast and accurate long-read alignment with Burrows-Wheeler transform
    • Li, H. & Durbin, R. Fast and accurate long-read alignment with Burrows-Wheeler transform. Bioinformatics 26, 589-595 (2010).
    • (2010) Bioinformatics , vol.26 , pp. 589-595
    • Li, H.1    Durbin, R.2
  • 41
    • 84901831004 scopus 로고    scopus 로고
    • Validation of noise models for single-cell transcriptomics
    • Grün, D., Kester, L. & van Oudenaarden, A. Validation of noise models for single-cell transcriptomics. Nat. Methods 11, 637-640 (2014).
    • (2014) Nat. Methods , vol.11 , pp. 637-640
    • Grün, D.1    Kester, L.2    Van Oudenaarden, A.3
  • 42
    • 84941201582 scopus 로고    scopus 로고
    • Single-cell messenger RNA sequencing reveals rare intestinal cell types
    • Grün, D. et al. Single-cell messenger RNA sequencing reveals rare intestinal cell types. Nature 525, 251-255 (2015).
    • (2015) Nature , vol.525 , pp. 251-255
    • Grün, D.1
  • 43
    • 84926507971 scopus 로고    scopus 로고
    • Limma powers differential expression analyses for RNA-sequencing and microarray studies
    • Ritchie, M.E. et al. limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 43, e47 (2015).
    • (2015) Nucleic Acids Res. , vol.43 , pp. e47
    • Ritchie, M.E.1
  • 44
    • 77958471357 scopus 로고    scopus 로고
    • Differential expression analysis for sequence count data
    • Anders, S. & Huber, W. Differential expression analysis for sequence count data. Genome Biol. 11, R106 (2010).
    • (2010) Genome Biol. , vol.11 , pp. R106
    • Anders, S.1    Huber, W.2


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