-
1
-
-
84866556192
-
Maintaining system homeostasis: The third law of Newtonian immunology
-
Germain, R. N. Maintaining system homeostasis: the third law of Newtonian immunology. Nat. Immunol. 13, 902-906 (2012).
-
(2012)
Nat. Immunol.
, vol.13
, pp. 902-906
-
-
Germain, R.N.1
-
2
-
-
77950349016
-
Th17 and regulatory T cells in mediating and restraining inflammation
-
Littman, D. R. & Rudensky, A. Y. Th17 and regulatory T cells in mediating and restraining inflammation. Cell 140, 845-858 (2010).
-
(2010)
Cell
, vol.140
, pp. 845-858
-
-
Littman, D.R.1
Rudensky, A.Y.2
-
3
-
-
74049164847
-
Regulatory T cells exert checks and balances on self tolerance and autoimmunity
-
Wing, K. & Sakaguchi, S. Regulatory T cells exert checks and balances on self tolerance and autoimmunity. Nat. Immunol. 11, 7-13 (2010).
-
(2010)
Nat. Immunol.
, vol.11
, pp. 7-13
-
-
Wing, K.1
Sakaguchi, S.2
-
5
-
-
84961167296
-
Single cell technologies are revolutionizing the approach to rare cells
-
Proserpio, V. & Lönnberg, T. Single cell technologies are revolutionizing the approach to rare cells. Immunol. Cell Biol. 94, 225-229 (2015).
-
(2015)
Immunol. Cell Biol.
, vol.94
, pp. 225-229
-
-
Proserpio, V.1
Lönnberg, T.2
-
6
-
-
3543069879
-
Seventeen-colour flow cytometry: Unravelling the immune system
-
Perfetto, S. P., Chattopadhyay, P. K. & Roederer, M. Seventeen-colour flow cytometry: unravelling the immune system. Nat. Rev. Immunol. 4, 648-655 (2004).
-
(2004)
Nat. Rev. Immunol.
, vol.4
, pp. 648-655
-
-
Perfetto, S.P.1
Chattopadhyay, P.K.2
Roederer, M.3
-
7
-
-
84965146271
-
Mass cytometry: Single cells, many features
-
Spitzer, M. H. & Nolan, G. P. Mass cytometry: single cells, many features. Cell 165, 780-791 (2016).
-
(2016)
Cell
, vol.165
, pp. 780-791
-
-
Spitzer, M.H.1
Nolan, G.P.2
-
8
-
-
84862676726
-
A deep profiler's guide to cytometry
-
Bendall, S. C., Nolan, G. P., Roederer, M. & Chattopadhyay, P. K. A deep profiler's guide to cytometry. Trends Immunol. 33, 323-332 (2012).
-
(2012)
Trends Immunol.
, vol.33
, pp. 323-332
-
-
Bendall, S.C.1
Nolan, G.P.2
Roederer, M.3
Chattopadhyay, P.K.4
-
9
-
-
79955750055
-
Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum
-
Bendall, S. C. et al. Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum. Science 332, 687-696 (2011).
-
(2011)
Science
, vol.332
, pp. 687-696
-
-
Bendall, S.C.1
-
10
-
-
84892687815
-
Single-cell technologies for monitoring immune systems
-
Chattopadhyay, P. K., Gierahn, T. M., Roederer, M. & Love, J. C. Single-cell technologies for monitoring immune systems. Nat. Immunol. 15, 128-135 (2014).
-
(2014)
Nat. Immunol.
, vol.15
, pp. 128-135
-
-
Chattopadhyay, P.K.1
Gierahn, T.M.2
Roederer, M.3
Love, J.C.4
-
11
-
-
80052720953
-
Single-cell gene-expression profiling and its potential diagnostic applications
-
Ståhlberg, A., Kubista, M. & Aman, P. Single-cell gene-expression profiling and its potential diagnostic applications. Expert Rev. Mol. Diagn. 11, 735-740 (2011).
-
(2011)
Expert Rev. Mol. Diagn.
, vol.11
, pp. 735-740
-
-
Ståhlberg, A.1
Kubista, M.2
Aman, P.3
-
12
-
-
0029957181
-
Real time quantitative PCR
-
Heid, C. A., Stevens, J., Livak, K. J. & Williams, P. M. Real time quantitative PCR. Genome Res. 6, 986-994 (1996).
-
(1996)
Genome Res.
, vol.6
, pp. 986-994
-
-
Heid, C.A.1
Stevens, J.2
Livak, K.J.3
Williams, P.M.4
-
13
-
-
48249156189
-
Quantification of mRNA in single cells and modelling of RT-qPCR induced noise
-
Bengtsson, M., Hemberg, M., Rorsman, P. & Ståhlberg, A. Quantification of mRNA in single cells and modelling of RT-qPCR induced noise. BMC Mol. Biol. 9, 63 (2008).
-
(2008)
BMC Mol. Biol.
, vol.9
, pp. 63
-
-
Bengtsson, M.1
Hemberg, M.2
Rorsman, P.3
Ståhlberg, A.4
-
14
-
-
84876471008
-
Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis
-
Moignard, V. et al. Characterization of transcriptional networks in blood stem and progenitor cells using high-throughput single-cell gene expression analysis. Nat. Cell Biol. 15, 363-372 (2013).
-
(2013)
Nat. Cell Biol.
, vol.15
, pp. 363-372
-
-
Moignard, V.1
-
15
-
-
84924353105
-
Decoding the regulatory network of early blood development from single-cell gene expression measurements
-
Moignard, V. et al. Decoding the regulatory network of early blood development from single-cell gene expression measurements. Nat. Biotechnol. 33, 269-276 (2015).
-
(2015)
Nat. Biotechnol.
, vol.33
, pp. 269-276
-
-
Moignard, V.1
-
16
-
-
46249106990
-
Mapping and quantifying mammalian transcriptomes by RNA-Seq
-
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L. & Wold, B. Mapping and quantifying mammalian transcriptomes by RNA-Seq. Nat. Methods 5, 621-628 (2008).
-
(2008)
Nat. Methods
, vol.5
, pp. 621-628
-
-
Mortazavi, A.1
Williams, B.A.2
McCue, K.3
Schaeffer, L.4
Wold, B.5
-
17
-
-
77958471357
-
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
-
18
-
-
77749323185
-
RNA-Seq analysis to capture the transcriptome landscape of a single cell
-
Tang, F. et al. RNA-Seq analysis to capture the transcriptome landscape of a single cell. Nat. Protoc. 5, 516-535 (2010).
-
(2010)
Nat. Protoc.
, vol.5
, pp. 516-535
-
-
Tang, F.1
-
19
-
-
67449141880
-
RNA-Seq-quantitative measurement of expression through massively parallel RNA-sequencing
-
Wilhelm, B. T. & Landry, J. R. RNA-Seq-quantitative measurement of expression through massively parallel RNA-sequencing. Methods 48, 249-257 (2009).
-
(2009)
Methods
, vol.48
, pp. 249-257
-
-
Wilhelm, B.T.1
Landry, J.R.2
-
20
-
-
84922896967
-
Whole transcriptome RNA sequencing data from blood leukocytes derived from Parkinson's disease patients prior to and following deep brain stimulation treatment
-
Soreq, L. et al. Whole transcriptome RNA sequencing data from blood leukocytes derived from Parkinson's disease patients prior to and following deep brain stimulation treatment. Genom. Data 3, 57-60 (2014).
-
(2014)
Genom. Data
, vol.3
, pp. 57-60
-
-
Soreq, L.1
-
21
-
-
84926629675
-
RNA-seq transcriptional profiling of peripheral blood leukocytes from cattle infected with Mycobacterium bovis
-
McLoughlin, K. E. et al. RNA-seq transcriptional profiling of peripheral blood leukocytes from cattle infected with Mycobacterium bovis. Front. Immunol. 5, 396 (2014).
-
(2014)
Front. Immunol.
, vol.5
, pp. 396
-
-
McLoughlin, K.E.1
-
22
-
-
84877751402
-
Quantitative transcriptomics using designed primer-based amplification
-
Bhargava, V., Ko, P., Willems, E., Mercola, M. & Subramaniam, S. Quantitative transcriptomics using designed primer-based amplification. Sci. Rep. 3, 1740 (2013).
-
(2013)
Sci. Rep.
, vol.3
, pp. 1740
-
-
Bhargava, V.1
Ko, P.2
Willems, E.3
Mercola, M.4
Subramaniam, S.5
-
23
-
-
84864880991
-
Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells
-
Ramsköld, D. et al. Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells. Nat. Biotechnol. 30, 777-782 (2012).
-
(2012)
Nat. Biotechnol.
, vol.30
, pp. 777-782
-
-
Ramsköld, D.1
-
24
-
-
84859487429
-
Gene Expression Atlas update-a value-added database of microarray and sequencing-based functional genomics experiments
-
Kapushesky, M. et al. Gene Expression Atlas update-a value-added database of microarray and sequencing-based functional genomics experiments. Nucleic Acids Res. 40, D1077-D1081 (2012).
-
(2012)
Nucleic Acids Res.
, vol.40
, pp. D1077-D1081
-
-
Kapushesky, M.1
-
25
-
-
78651486442
-
Densely interconnected transcriptional circuits control cell states in human hematopoiesis
-
Novershtern, N. et al. Densely interconnected transcriptional circuits control cell states in human hematopoiesis. Cell 144, 296-309 (2011).
-
(2011)
Cell
, vol.144
, pp. 296-309
-
-
Novershtern, N.1
-
26
-
-
67349146589
-
MRNA-Seq whole-transcriptome analysis of a single cell
-
Tang, F. et al. mRNA-Seq whole-transcriptome analysis of a single cell. Nat. Methods 6, 377-382 (2009).
-
(2009)
Nat. Methods
, vol.6
, pp. 377-382
-
-
Tang, F.1
-
27
-
-
79959403670
-
Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq
-
Islam, S. et al. Characterization of the single-cell transcriptional landscape by highly multiplex RNA-seq. Genome Res. 21, 1160-1167 (2011).
-
(2011)
Genome Res.
, vol.21
, pp. 1160-1167
-
-
Islam, S.1
-
28
-
-
84887101406
-
Smart-seq2 for sensitive full-length transcriptome profiling in single cells
-
Picelli, S. et al. Smart-seq2 for sensitive full-length transcriptome profiling in single cells. Nat. Methods 10, 1096-1098 (2013).
-
(2013)
Nat. Methods
, vol.10
, pp. 1096-1098
-
-
Picelli, S.1
-
29
-
-
84866953427
-
CEL-Seq: Single-cell RNA-Seq by multiplexed linear amplification
-
Hashimshony, T., Wagner, F., Sher, N. & Yanai, I. CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification. Cell Rep. 2, 666-673 (2012).
-
(2012)
Cell Rep.
, vol.2
, pp. 666-673
-
-
Hashimshony, T.1
Wagner, F.2
Sher, N.3
Yanai, I.4
-
30
-
-
84893905629
-
Massively parallel single-cell RNA-Seq for marker-free decomposition of tissues into cell types
-
Jaitin, D. A. et al. Massively parallel single-cell RNA-Seq for marker-free decomposition of tissues into cell types. Science 343, 776-779 (2014).
-
(2014)
Science
, vol.343
, pp. 776-779
-
-
Jaitin, D.A.1
-
31
-
-
84929206404
-
-
Preprint at bioRxiv
-
Soumillon, M., Cacchiarelli, D., Semrau, S., van Oudenaarden, A. & Mikkelsen, T. S. Characterization of directed differentiation by high-throughput single-cell RNA-Seq. Preprint at bioRxiv http://dx.doi.org/10.1101/003236 (2014).
-
(2014)
Characterization of Directed Differentiation by High-throughput Single-cell RNA-Seq
-
-
Soumillon, M.1
Cacchiarelli, D.2
Semrau, S.3
Van Oudenaarden, A.4
Mikkelsen, T.S.5
-
32
-
-
84964452502
-
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
-
33
-
-
84929684999
-
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
-
34
-
-
84929684998
-
Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells
-
Klein, A. M. et al. Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells. Cell 161, 1187-1201 (2015).
-
(2015)
Cell
, vol.161
, pp. 1187-1201
-
-
Klein, A.M.1
-
36
-
-
84897143486
-
The $1, 000 genome
-
Hayden, E. C. The $1, 000 genome. Nature 507, 295 (2014).
-
(2014)
Nature
, vol.507
, pp. 295
-
-
Hayden, E.C.1
-
37
-
-
79951551684
-
Genomewide characterization of non-polyadenylated RNAs
-
Yang, L., Duff, M., Graveley, B., Carmichael, G. & Chen, L.-L. Genomewide characterization of non-polyadenylated RNAs. Genome Biol. 12, R16 (2011).
-
(2011)
Genome Biol.
, vol.12
, pp. R16
-
-
Yang, L.1
Duff, M.2
Graveley, B.3
Carmichael, G.4
Chen, L.-L.5
-
38
-
-
79957938596
-
Transcript amplification from single bacterium for transcriptome analysis
-
Kang, Y. et al. Transcript amplification from single bacterium for transcriptome analysis. Genome Res. 21, 925-935 (2011).
-
(2011)
Genome Res.
, vol.21
, pp. 925-935
-
-
Kang, Y.1
-
39
-
-
84906228597
-
Single-cell RNA-seq: Advances and future challenges
-
Saliba, A. E., Westermann, A. J., Gorski, S. A. & Vogel, J. Single-cell RNA-seq: advances and future challenges. Nucleic Acids Res. 42, 8845-8860 (2014).
-
(2014)
Nucleic Acids Res.
, vol.42
, pp. 8845-8860
-
-
Saliba, A.E.1
Westermann, A.J.2
Gorski, S.A.3
Vogel, J.4
-
40
-
-
84958078627
-
The heterogeneity of human CD127+ innate lymphoid cells revealed by single-cell RNA sequencing
-
Bjorklund, A. K. et al. The heterogeneity of human CD127+ innate lymphoid cells revealed by single-cell RNA sequencing. Nat. Immunol. 17, 451-460 (2016).
-
(2016)
Nat. Immunol.
, vol.17
, pp. 451-460
-
-
Bjorklund, A.K.1
-
41
-
-
84983780960
-
The spectrum and regulatory landscape of intestinal innate lymphoid cells are shaped by the microbiome
-
Gury-BenAri, M. et al. The spectrum and regulatory landscape of intestinal innate lymphoid cells are shaped by the microbiome. Cell 166, 1231-1246. e13 (2016).
-
(2016)
Cell
, vol.166
, pp. 1231-1231e13
-
-
Gury-BenAri, M.1
-
42
-
-
84949252174
-
Single-cell genomics unveils critical regulators of Th17 cell pathogenicity
-
Gaublomme, J. T. et al. Single-cell genomics unveils critical regulators of Th17 cell pathogenicity. Cell 163, 1400-1412 (2015).
-
(2015)
Cell
, vol.163
, pp. 1400-1412
-
-
Gaublomme, J.T.1
-
43
-
-
33646203562
-
Stochastic regulation in early immune response
-
Lipniacki, T., Paszek, P., Brasier, A. R., Luxon, B. A & Kimmel, M. Stochastic regulation in early immune response. Biophys. J. 90, 725-742 (2006).
-
(2006)
Biophys. J.
, vol.90
, pp. 725-742
-
-
Lipniacki, T.1
Paszek, P.2
Brasier, A.R.3
Luxon, B.A.4
Kimmel, M.5
-
44
-
-
49049088099
-
Stochastic effects and bistability in T cell receptor signaling
-
Lipniacki, T., Hat, B., Faeder, J. R. & Hlavacek, W. S. Stochastic effects and bistability in T cell receptor signaling. J. Theor. Biol. 254, 110-122 (2008).
-
(2008)
J. Theor. Biol.
, vol.254
, pp. 110-122
-
-
Lipniacki, T.1
Hat, B.2
Faeder, J.R.3
Hlavacek, W.S.4
-
45
-
-
78649875958
-
Single-cell quantification of IL-2 response by effector and regulatory T cells reveals critical plasticity in immune response
-
Feinerman, O. et al. Single-cell quantification of IL-2 response by effector and regulatory T cells reveals critical plasticity in immune response. Mol. Syst. Biol. 6, 437 (2010).
-
(2010)
Mol. Syst. Biol.
, vol.6
, pp. 437
-
-
Feinerman, O.1
-
46
-
-
84899929564
-
Heterogeneity in immune responses: From populations to single cells
-
Satija, R. & Shalek, A. K. Heterogeneity in immune responses: from populations to single cells. Trends Immunol. 35, 219-229 (2014).
-
(2014)
Trends Immunol.
, vol.35
, pp. 219-229
-
-
Satija, R.1
Shalek, A.K.2
-
47
-
-
84960194523
-
T cell fate and clonality inference from single-cell transcriptomes
-
Stubbington, M. J. T. et al. T cell fate and clonality inference from single-cell transcriptomes. Nat. Methods 13, 329-332 (2016).
-
(2016)
Nat. Methods
, vol.13
, pp. 329-332
-
-
Stubbington, M.J.T.1
-
48
-
-
85040750667
-
Single-cell RNA-seq and computational analysis using temporal mixture modeling resolves TH1/TFH fate bifurcation in malaria
-
Lönnberg, T. et al. Single-cell RNA-seq and computational analysis using temporal mixture modeling resolves TH1/TFH fate bifurcation in malaria. Sci. Immunol. 2, eaal2192 (2017).
-
(2017)
Sci. Immunol.
, vol.2
, pp. eaal2192
-
-
Lönnberg, T.1
-
49
-
-
85015021614
-
Single-cell TCRseq: Paired recovery of entire T-cell alpha and beta chain transcripts in T-cell receptors from single-cell RNAseq
-
Redmond, D., Poran, A. & Elemento, O. Single-cell TCRseq: paired recovery of entire T-cell alpha and beta chain transcripts in T-cell receptors from single-cell RNAseq. Genome Med. 8, 80 (2016).
-
(2016)
Genome Med.
, vol.8
, pp. 80
-
-
Redmond, D.1
Poran, A.2
Elemento, O.3
-
51
-
-
84878997106
-
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
-
Shalek, A. K. et al. Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells. Nature 498, 236-240 (2013).
-
(2013)
Nature
, vol.498
, pp. 236-240
-
-
Shalek, A.K.1
-
52
-
-
84903185013
-
Single-cell RNA-seq reveals dynamic paracrine control of cellular variation
-
Shalek, A. K. et al. Single-cell RNA-seq reveals dynamic paracrine control of cellular variation. Nature 510, 363-369 (2014).
-
(2014)
Nature
, vol.510
, pp. 363-369
-
-
Shalek, A.K.1
-
53
-
-
84939600854
-
Single-cell transcriptome analysis reveals coordinated ectopic gene-expression patterns in medullary thymic epithelial cells
-
Brennecke, P. et al. Single-cell transcriptome analysis reveals coordinated ectopic gene-expression patterns in medullary thymic epithelial cells. Nat. Immunol. 16, 933-941 (2015).
-
(2015)
Nat. Immunol.
, vol.16
, pp. 933-941
-
-
Brennecke, P.1
-
54
-
-
84939622896
-
Aire controls gene expression in the thymic epithelium with ordered stochasticity
-
Meredith, M., Zemmour, D., Mathis, D. & Benoist, C. Aire controls gene expression in the thymic epithelium with ordered stochasticity. Nat. Immunol. 16, 942-949 (2015).
-
(2015)
Nat. Immunol.
, vol.16
, pp. 942-949
-
-
Meredith, M.1
Zemmour, D.2
Mathis, D.3
Benoist, C.4
-
55
-
-
84899574465
-
Single-cell trajectory detection uncovers progression and regulatory coordination in human b cell development
-
Bendall, S. C. et al. Single-cell trajectory detection uncovers progression and regulatory coordination in human b cell development. Cell 157, 714-725 (2014).
-
(2014)
Cell
, vol.157
, pp. 714-725
-
-
Bendall, S.C.1
-
56
-
-
84900873950
-
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
-
Trapnell, C. et al. The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells. Nat. Biotechnol. 32, 381-386 (2014).
-
(2014)
Nat. Biotechnol.
, vol.32
, pp. 381-386
-
-
Trapnell, C.1
-
57
-
-
84931394611
-
Identification of cDC1-and cDC2-committed DC progenitors reveals early lineage priming at the common DC progenitor stage in the bone marrow
-
Schlitzer, A. et al. Identification of cDC1-and cDC2-committed DC progenitors reveals early lineage priming at the common DC progenitor stage in the bone marrow. Nat. Immunol. 16, 718-728 (2015).
-
(2015)
Nat. Immunol.
, vol.16
, pp. 718-728
-
-
Schlitzer, A.1
-
58
-
-
84962050673
-
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
-
59
-
-
84941929935
-
Single-cell transcriptomic reconstruction reveals cell cycle and multi-lineage differentiation defects in Bcl11a-deficient hematopoietic stem cells
-
Tsang, J. C. H. et al. Single-cell transcriptomic reconstruction reveals cell cycle and multi-lineage differentiation defects in Bcl11a-deficient hematopoietic stem cells. Genome Biol. 16, 178 (2015).
-
(2015)
Genome Biol.
, vol.16
, pp. 178
-
-
Tsang, J.C.H.1
-
60
-
-
85008168844
-
Single-cell profiling of human megakaryocyte-erythroid progenitors identifies distinct megakaryocyte and erythroid differentiation pathways
-
Psaila, B. et al. Single-cell profiling of human megakaryocyte-erythroid progenitors identifies distinct megakaryocyte and erythroid differentiation pathways. Genome Biol. 17, 83 (2016).
-
(2016)
Genome Biol.
, vol.17
, pp. 83
-
-
Psaila, B.1
-
61
-
-
84963614956
-
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
-
Tirosh, I. et al. Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq. Science 352, 189-196 (2016).
-
(2016)
Science
, vol.352
, pp. 189-196
-
-
Tirosh, I.1
-
62
-
-
84950290139
-
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
-
63
-
-
85009113270
-
A single cell resolution map of mouse haematopoietic stem and progenitor cell differentiation running title: Single cell map of HSPC differentiation
-
Nestorowa, S. et al. A single cell resolution map of mouse haematopoietic stem and progenitor cell differentiation running title: single cell map of HSPC differentiation. Blood 128, 20-32 (2016).
-
(2016)
Blood
, vol.128
, pp. 20-32
-
-
Nestorowa, S.1
-
64
-
-
84962229210
-
Single-cell RNA sequencing reveals molecular and functional platelet bias of aged haematopoietic stem cells
-
Grover, A. et al. Single-cell RNA sequencing reveals molecular and functional platelet bias of aged haematopoietic stem cells. Nat. Commun. 7, 11075 (2016).
-
(2016)
Nat. Commun.
, vol.7
, pp. 11075
-
-
Grover, A.1
-
65
-
-
33744983304
-
Osteoclasts degrade endosteal components and promote mobilization of hematopoietic progenitor cells
-
Kollet, O. et al. Osteoclasts degrade endosteal components and promote mobilization of hematopoietic progenitor cells. Nat. Med. 12, 657-664 (2006).
-
(2006)
Nat. Med.
, vol.12
, pp. 657-664
-
-
Kollet, O.1
-
66
-
-
0242268524
-
Osteoblastic cells regulate the haematopoietic stem cell niche
-
Calvi, L. M. et al. Osteoblastic cells regulate the haematopoietic stem cell niche. Nature 425, 841-846 (2003).
-
(2003)
Nature
, vol.425
, pp. 841-846
-
-
Calvi, L.M.1
-
67
-
-
77958553682
-
Bone marrow macrophages maintain hematopoietic stem cell (HSC) niches and their depletion mobilizes HSCs
-
Winkler, I. G. et al. Bone marrow macrophages maintain hematopoietic stem cell (HSC) niches and their depletion mobilizes HSCs. Blood 116, 4815-4828 (2010).
-
(2010)
Blood
, vol.116
, pp. 4815-4828
-
-
Winkler, I.G.1
-
68
-
-
78149280740
-
Angiocrine factors from Akt-activated endothelial cells balance self-renewal and differentiation of haematopoietic stem cells
-
Kobayashi, H. et al. Angiocrine factors from Akt-activated endothelial cells balance self-renewal and differentiation of haematopoietic stem cells. Nat. Cell Biol. 12, 1046-1056 (2010).
-
(2010)
Nat. Cell Biol.
, vol.12
, pp. 1046-1056
-
-
Kobayashi, H.1
-
69
-
-
84929151009
-
Spatial reconstruction of single-cell gene expression data
-
Satija, R., Farrell, J. A., Gennert, D., Schier, A. F. & Regev, A. Spatial reconstruction of single-cell gene expression data. Nat. Biotechnol. 33, 495-502 (2015).
-
(2015)
Nat. Biotechnol.
, vol.33
, pp. 495-502
-
-
Satija, R.1
Farrell, J.A.2
Gennert, D.3
Schier, A.F.4
Regev, A.5
-
70
-
-
84929166604
-
High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin
-
Achim, K. et al. High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin. Nat. Biotechnol. 33, 503-509 (2015).
-
(2015)
Nat. Biotechnol.
, vol.33
, pp. 503-509
-
-
Achim, K.1
-
71
-
-
84923799606
-
Fluorescent in situ sequencing (FISSEQ) of RNA for gene expression profiling in intact cells and tissues
-
Lee, J. H. et al. Fluorescent in situ sequencing (FISSEQ) of RNA for gene expression profiling in intact cells and tissues. Nat. Protoc. 10, 442-458 (2015).
-
(2015)
Nat. Protoc.
, vol.10
, pp. 442-458
-
-
Lee, J.H.1
-
72
-
-
84898725160
-
Clonal tracking of rhesus macaque hematopoiesis highlights a distinct lineage origin for natural killer cells
-
Wu, C. et al. Clonal tracking of rhesus macaque hematopoiesis highlights a distinct lineage origin for natural killer cells. Cell Stem Cell 14, 486-499 (2014).
-
(2014)
Cell Stem Cell
, vol.14
, pp. 486-499
-
-
Wu, C.1
-
73
-
-
84896712623
-
Determining lineage pathways from cellular barcoding experiments
-
Perié, L. et al. Determining lineage pathways from cellular barcoding experiments. Cell Rep. 6, 617-624 (2014).
-
(2014)
Cell Rep.
, vol.6
, pp. 617-624
-
-
Perié, L.1
-
74
-
-
85018477462
-
Single-cell whole-genome analyses by Linear Amplification via Transposon Insertion (LIANTI)
-
Chen, C. et al. Single-cell whole-genome analyses by Linear Amplification via Transposon Insertion (LIANTI). Science 356, 189-194 (2017).
-
(2017)
Science
, vol.356
, pp. 189-194
-
-
Chen, C.1
-
75
-
-
84937857359
-
Single-cell chromatin accessibility reveals principles of regulatory variation
-
Buenrostro, J. D. et al. Single-cell chromatin accessibility reveals principles of regulatory variation. Nature 523, 486-490 (2015).
-
(2015)
Nature
, vol.523
, pp. 486-490
-
-
Buenrostro, J.D.1
-
76
-
-
84930006926
-
Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexing
-
Cusanovich, D. A. et al. Multiplex single-cell profiling of chromatin accessibility by combinatorial cellular indexing. Science 348, 910-914 (2015).
-
(2015)
Science
, vol.348
, pp. 910-914
-
-
Cusanovich, D.A.1
-
77
-
-
84924601067
-
Single-cell DNA methylome sequencing and bioinformatic inference of epigenomic cell-state dynamics
-
Farlik, M. et al. Single-cell DNA methylome sequencing and bioinformatic inference of epigenomic cell-state dynamics. Cell Rep. 10, 1386-1397 (2015).
-
(2015)
Cell Rep.
, vol.10
, pp. 1386-1397
-
-
Farlik, M.1
-
78
-
-
84965083281
-
Locus-specific bisulfite sequencing (SLBS) for direct detection of epimutations in DNA methylation patterns
-
Gravina, S., Ganapathi, S. & Vijg, J. Single-cell, locus-specific bisulfite sequencing (SLBS) for direct detection of epimutations in DNA methylation patterns. Nucleic Acids Res. 43, e93 (2015).
-
(2015)
Nucleic Acids Res.
, vol.43
, pp. e93
-
-
Gravina, S.1
Ganapathi, S.2
Single-Cell, V.J.3
-
79
-
-
84890526238
-
Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing
-
Guo, H. et al. Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing. Genome Res. 23, 2126-2135 (2013).
-
(2013)
Genome Res.
, vol.23
, pp. 2126-2135
-
-
Guo, H.1
-
80
-
-
84905405443
-
Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity
-
Smallwood, S. A. et al. Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity. Nat. Methods 11, 817-820 (2014).
-
(2014)
Nat. Methods
, vol.11
, pp. 817-820
-
-
Smallwood, S.A.1
-
81
-
-
84988014533
-
Multiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reaction
-
Genshaft, A. S. et al. Multiplexed, targeted profiling of single-cell proteomes and transcriptomes in a single reaction. Genome Biol. 17, 188 (2016).
-
(2016)
Genome Biol.
, vol.17
, pp. 188
-
-
Genshaft, A.S.1
-
82
-
-
84924423596
-
Integrated genome and transcriptome sequencing of the same cell
-
Dey, S. S., Kester, L., Spanjaard, B., Bienko, M. & van Oudenaarden, A. Integrated genome and transcriptome sequencing of the same cell. Nat. Biotechnol. 33, 285-289 (2015).
-
(2015)
Nat. Biotechnol.
, vol.33
, pp. 285-289
-
-
Dey, S.S.1
Kester, L.2
Spanjaard, B.3
Bienko, M.4
Van Oudenaarden, A.5
-
83
-
-
84930178333
-
G&T-seq: Parallel sequencing of single-cell genomes and transcriptomes
-
Macaulay, I. C. et al. G&T-seq: parallel sequencing of single-cell genomes and transcriptomes. Nat. Methods 12, 519-522 (2015).
-
(2015)
Nat. Methods
, vol.12
, pp. 519-522
-
-
MacAulay, I.C.1
-
85
-
-
84055200841
-
Human bone marrow hematopoietic stem cells are increased in frequency and myeloid-biased with age
-
Pang, W. W. et al. Human bone marrow hematopoietic stem cells are increased in frequency and myeloid-biased with age. Proc. Natl Acad. Sci. USA 108, 20012-20017 (2011).
-
(2011)
Proc. Natl Acad. Sci. USA
, vol.108
, pp. 20012-20017
-
-
Pang, W.W.1
|