-
2
-
-
84929684998
-
Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells
-
Klein AM, et al. (2015) Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells. Cell 161:1187–1201.
-
(2015)
Cell
, vol.161
, pp. 1187-1201
-
-
Klein, A.M.1
-
3
-
-
84929684999
-
Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
-
Macosko EZ, et al. (2015) Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets. Cell 161:1202–1214.
-
(2015)
Cell
, vol.161
, pp. 1202-1214
-
-
Macosko, E.Z.1
-
4
-
-
84937857359
-
Single-cell chromatin accessibility reveals principles of regulatory variation
-
Buenrostro JD, et al. (2015) Single-cell chromatin accessibility reveals principles of regulatory variation. Nature 523:486–490.
-
(2015)
Nature
, vol.523
, pp. 486-490
-
-
Buenrostro, J.D.1
-
5
-
-
84954305000
-
Single-cell mass spectrometry for discovery proteomics: Quantifying translational cell heterogeneity in the 16-cell frog (Xenopus) embryo
-
Lombard-Banek C, Moody SA, Nemes P (2016) Single-cell mass spectrometry for discovery proteomics: Quantifying translational cell heterogeneity in the 16-cell frog (Xenopus) embryo. Angew Chem Int Ed Engl 55:2454–2458.
-
(2016)
Angew Chem Int Ed Engl
, vol.55
, pp. 2454-2458
-
-
Lombard-Banek, C.1
Moody, S.A.2
Nemes, P.3
-
6
-
-
79955750055
-
Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum
-
Bendall SC, et al. (2011) Single-cell mass cytometry of differential immune and drug responses across a human hematopoietic continuum. Science 332:687–696.
-
(2011)
Science
, vol.332
, pp. 687-696
-
-
Bendall, S.C.1
-
7
-
-
85017186553
-
3D structures of individual mammalian genomes studied by single-cell Hi-C
-
Stevens TJ, et al. (2017) 3D structures of individual mammalian genomes studied by single-cell Hi-C. Nature 544:59–64.
-
(2017)
Nature
, vol.544
, pp. 59-64
-
-
Stevens, T.J.1
-
8
-
-
84899574465
-
Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development
-
Bendall SC, et al. (2014) Single-cell trajectory detection uncovers progression and regulatory coordination in human B cell development. Cell 157:714–725.
-
(2014)
Cell
, vol.157
, pp. 714-725
-
-
Bendall, S.C.1
-
9
-
-
84958103478
-
Single-cell RNA-sequencing reveals a continuous spectrum of differentiation in hematopoietic cells
-
Macaulay IC, et al. (2016) Single-cell RNA-sequencing reveals a continuous spectrum of differentiation in hematopoietic cells. Cell Rep 14:966–977.
-
(2016)
Cell Rep
, vol.14
, pp. 966-977
-
-
Macaulay, I.C.1
-
10
-
-
84924365758
-
Bifurcation analysis of single-cell gene expression data reveals epigenetic landscape
-
Marco E, et al. (2014) Bifurcation analysis of single-cell gene expression data reveals epigenetic landscape. Proc Natl Acad Sci USA 111:E5643–E5650.
-
(2014)
Proc Natl Acad Sci USA
, vol.111
, pp. E5643-E5650
-
-
Marco, E.1
-
11
-
-
84924353105
-
Decoding the regulatory network of early blood development from single-cell gene expression measurements
-
Moignard V, et al. (2015) Decoding the regulatory network of early blood development from single-cell gene expression measurements. Nat Biotechnol 33:269–276.
-
(2015)
Nat Biotechnol
, vol.33
, pp. 269-276
-
-
Moignard, V.1
-
12
-
-
84941010341
-
Single-cell RNA-seq with waterfall reveals molecular cascades underlying adult neurogenesis
-
Shin J, et al. (2015) Single-cell RNA-seq with waterfall reveals molecular cascades underlying adult neurogenesis. Cell Stem Cell 17:360–372.
-
(2015)
Cell Stem Cell
, vol.17
, pp. 360-372
-
-
Shin, J.1
-
13
-
-
84874346987
-
Dynamics extracted from fixed cells reveal feedback linking cell growth to cell cycle
-
Kafri R, et al. (2013) Dynamics extracted from fixed cells reveal feedback linking cell growth to cell cycle. Nature 494:480–483.
-
(2013)
Nature
, vol.494
, pp. 480-483
-
-
Kafri, R.1
-
14
-
-
84949252174
-
Single-cell genomics unveils critical regulators of Th17 cell pathogenicity
-
Gaublomme JT, et al. (2015) Single-cell genomics unveils critical regulators of Th17 cell pathogenicity. Cell 163:1400–1412.
-
(2015)
Cell
, vol.163
, pp. 1400-1412
-
-
Gaublomme, J.T.1
-
15
-
-
84974587998
-
Wishbone identifies bifurcating developmental trajectories from single-cell data
-
Setty M, et al. (2016) Wishbone identifies bifurcating developmental trajectories from single-cell data. Nat Biotechnol 34:637–645.
-
(2016)
Nat Biotechnol
, vol.34
, pp. 637-645
-
-
Setty, M.1
-
16
-
-
85042750225
-
Population snapshots predict early haematopoietic and erythroid hierarchies
-
Tusi BK, et al., Population snapshots predict early haematopoietic and erythroid hierarchies. Nature, 10.1038/nature25741.
-
Nature
-
-
Tusi, B.K.1
-
17
-
-
77950831301
-
Stochastic models of biological processes
-
ed Meyers RA (Springer, New York)
-
Andrews SS, Dinh T, Arkin AP (2009) Stochastic models of biological processes. Encyclopedia of Complexity and Systems Science, ed Meyers RA (Springer, New York), pp 8730–8749.
-
(2009)
Encyclopedia of Complexity and Systems Science
, pp. 8730-8749
-
-
Andrews, S.S.1
Dinh, T.2
Arkin, A.P.3
-
18
-
-
0002121327
-
Stochastic problems in physics and astronomy
-
Chandrasekhar S (1943) Stochastic problems in physics and astronomy. Rev Mod Phys 15:1–89.
-
(1943)
Rev Mod Phys
, vol.15
, pp. 1-89
-
-
Chandrasekhar, S.1
-
19
-
-
0002950514
-
Introduction
-
Academic, San Diego
-
Ramkrishna D (2000) Introduction. Population Balances (Academic, San Diego), pp 1–6.
-
(2000)
Population Balances
, pp. 1-6
-
-
Ramkrishna, D.1
-
21
-
-
34249950625
-
Stochastic simulation of chemical kinetics
-
Gillespie DT (2007) Stochastic simulation of chemical kinetics. Annu Rev Phys Chem 58: 35–55.
-
(2007)
Annu Rev Phys Chem
, vol.58
, pp. 35-55
-
-
Gillespie, D.T.1
-
22
-
-
80052396994
-
How accurate are the nonlinear chemical Fokker–Planck and chemical Langevin equations?
-
Grima R, Thomas P, Straube AV (2011) How accurate are the nonlinear chemical Fokker–Planck and chemical Langevin equations? J Chem Phys 135:084103.
-
(2011)
J Chem Phys
, vol.135
, pp. 084103
-
-
Grima, R.1
Thomas, P.2
Straube, A.V.3
-
23
-
-
84901193514
-
Numerical solution of high dimensional stationary Fokker–Planck equations via tensor decomposition and Chebyshev spectral differentiation
-
Sun Y, Kumar M (2014) Numerical solution of high dimensional stationary Fokker–Planck equations via tensor decomposition and Chebyshev spectral differentiation. Comput Math Appl 67:1960–1977.
-
(2014)
Comput Math Appl
, vol.67
, pp. 1960-1977
-
-
Sun, Y.1
Kumar, M.2
-
24
-
-
84966667709
-
Destiny: Diffusion maps for large-scale single-cell data in R
-
Angerer P, et al. (2015) destiny: Diffusion maps for large-scale single-cell data in R. Bioinformatics 32:1241–1243.
-
(2015)
Bioinformatics
, vol.32
, pp. 1241-1243
-
-
Angerer, P.1
-
26
-
-
0034688173
-
A synthetic oscillatory network of transcriptional regulators
-
Elowitz MB, Leibler S (2000) A synthetic oscillatory network of transcriptional regulators. Nature 403:335–338.
-
(2000)
Nature
, vol.403
, pp. 335-338
-
-
Elowitz, M.B.1
Leibler, S.2
-
27
-
-
84955164174
-
Distinct routes of lineage development reshape the human blood hierarchy across ontogeny
-
Notta F, et al. (2016) Distinct routes of lineage development reshape the human blood hierarchy across ontogeny. Science 351:aab2116.
-
(2016)
Science
, vol.351
, pp. aab2116
-
-
Notta, F.1
-
28
-
-
84896727582
-
Heterogeneity and hierarchy of hematopoietic stem cells
-
Ema H, Morita Y, Suda T (2014) Heterogeneity and hierarchy of hematopoietic stem cells. Exp Hematol 42:74–82.e2.
-
(2014)
Exp Hematol
, vol.42
-
-
Ema, H.1
Morita, Y.2
Suda, T.3
-
29
-
-
84950290139
-
Transcriptional heterogeneity and lineage commitment in myeloid progenitors
-
Paul F, et al. (2015) Transcriptional heterogeneity and lineage commitment in myeloid progenitors. Cell 163:1663–1677.
-
(2015)
Cell
, vol.163
, pp. 1663-1677
-
-
Paul, F.1
-
30
-
-
85041411084
-
SPRING: A kinetic interface for visualizing high dimensional single-cell expression data
-
Weinreb C, Wolock S, Klein A (2017) SPRING: A kinetic interface for visualizing high dimensional single-cell expression data. Bioinformatics, 10.1093/bioinformatics/btx792.
-
(2017)
Bioinformatics
-
-
Weinreb, C.1
Wolock, S.2
Klein, A.3
-
31
-
-
0034624828
-
A clonogenic common myeloid progenitor that gives rise to all myeloid lineages
-
Akashi K, Traver D, Miyamoto T, Weissman IL (2000) A clonogenic common myeloid progenitor that gives rise to all myeloid lineages. Nature 404:193–197.
-
(2000)
Nature
, vol.404
, pp. 193-197
-
-
Akashi, K.1
Traver, D.2
Miyamoto, T.3
Weissman, I.L.4
-
32
-
-
30344444770
-
A clonogenic bone marrow progenitor specific for macrophages and dendritic cells
-
Fogg DK, et al. (2006) A clonogenic bone marrow progenitor specific for macrophages and dendritic cells. Science 311:83–87.
-
(2006)
Science
, vol.311
, pp. 83-87
-
-
Fogg, D.K.1
-
33
-
-
35549000134
-
Development of plasmacytoid and conventional dendritic cell subtypes from single precursor cells derived in vitro and in vivo
-
Naik SH, et al. (2007) Development of plasmacytoid and conventional dendritic cell subtypes from single precursor cells derived in vitro and in vivo. Nat Immunol 8: 1217–1226.
-
(2007)
Nat Immunol
, vol.8
, pp. 1217-1226
-
-
Naik, S.H.1
-
34
-
-
84937023176
-
Functionally distinct subsets of lineage-biased multipotent progenitors control blood production in normal and regenerative conditions
-
Pietras EM, et al. (2015) Functionally distinct subsets of lineage-biased multipotent progenitors control blood production in normal and regenerative conditions. Cell Stem Cell 17:35–46.
-
(2015)
Cell Stem Cell
, vol.17
, pp. 35-46
-
-
Pietras, E.M.1
-
35
-
-
34848896359
-
Elucidation of the phenotypic, functional, and molecular topography of a myeloerythroid progenitor cell hierarchy
-
Pronk CJ, et al. (2007) Elucidation of the phenotypic, functional, and molecular topography of a myeloerythroid progenitor cell hierarchy. Cell Stem Cell 1:428–442.
-
(2007)
Cell Stem Cell
, vol.1
, pp. 428-442
-
-
Pronk, C.J.1
-
37
-
-
85008168844
-
Single-cell profiling of human megakaryocyte-erythroid progenitors identifies distinct megakaryocyte and erythroid differentiation pathways
-
Psaila B, et al. (2016) Single-cell profiling of human megakaryocyte-erythroid progenitors identifies distinct megakaryocyte and erythroid differentiation pathways. Genome Biol 17:83.
-
(2016)
Genome Biol
, vol.17
, pp. 83
-
-
Psaila, B.1
-
38
-
-
85009113270
-
A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation
-
Nestorowa S, et al. (2016) A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation. Blood 128:e20–e31.
-
(2016)
Blood
, vol.128
, pp. e20-e31
-
-
Nestorowa, S.1
-
39
-
-
84881236410
-
Positive feedback between PU.1 and the cell cycle controls myeloid differentiation
-
erratum (2013) 342:311
-
Kueh HY, Champhekar A, Nutt SL, Elowitz MB, Rothenberg EV (2013) Positive feedback between PU.1 and the cell cycle controls myeloid differentiation. Science 341: 670–673, and erratum (2013) 342:311.
-
(2013)
Science
, vol.341
, pp. 670-673
-
-
Kueh, H.Y.1
Champhekar, A.2
Nutt, S.L.3
Elowitz, M.B.4
Rothenberg, E.V.5
-
40
-
-
84896322739
-
The cell-cycle state of stem cells determines cell fate propensity
-
Pauklin S, Vallier L (2014) The cell-cycle state of stem cells determines cell fate propensity. Cell 156:1338.
-
(2014)
Cell
, vol.156
, pp. 1338
-
-
Pauklin, S.1
Vallier, L.2
-
41
-
-
77952914558
-
The potential landscape of genetic circuits imposes the arrow of time in stem cell differentiation
-
Wang J, Xu L, Wang E, Huang S (2010) The potential landscape of genetic circuits imposes the arrow of time in stem cell differentiation. Biophys J 99:29–39.
-
(2010)
Biophys J
, vol.99
, pp. 29-39
-
-
Wang, J.1
Xu, L.2
Wang, E.3
Huang, S.4
-
42
-
-
84991585454
-
Transition states and cell fate decisions in epigenetic landscapes
-
Moris N, Pina C, Arias AM (2016) Transition states and cell fate decisions in epigenetic landscapes. Nat Rev Genet 17:693–703.
-
(2016)
Nat Rev Genet
, vol.17
, pp. 693-703
-
-
Moris, N.1
Pina, C.2
Arias, A.M.3
-
43
-
-
84968624557
-
Automated mapping of phenotype space with single-cell data
-
Samusik N, Good Z, Spitzer MH, Davis KL, Nolan GP (2016) Automated mapping of phenotype space with single-cell data. Nat Methods 13:493–496.
-
(2016)
Nat Methods
, vol.13
, pp. 493-496
-
-
Samusik, N.1
Good, Z.2
Spitzer, M.H.3
Davis, K.L.4
Nolan, G.P.5
-
44
-
-
19644394100
-
Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps
-
Coifman RR, et al. (2005) Geometric diffusions as a tool for harmonic analysis and structure definition of data: Diffusion maps. Proc Natl Acad Sci USA 102:7426–7431.
-
(2005)
Proc Natl Acad Sci USA
, vol.102
, pp. 7426-7431
-
-
Coifman, R.R.1
|