-
1
-
-
84866953427
-
CEL-Seq: single-cell RNA-Seq by multiplexed linear amplification
-
COI: 1:CAS:528:DC%2BC38XhsFSmsL3J, PID: 22939981
-
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
-
2
-
-
84864880991
-
Full-length mRNA-Seq from single-cell levels of RNA and individual circulating tumor cells
-
PID: 22820318
-
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
-
3
-
-
84893905629
-
Massively parallel single-cell RNA-seq for marker-free decomposition of tissues into cell types
-
COI: 1:CAS:528:DC%2BC2cXit12ksr0%3D, PID: 24531970
-
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
-
4
-
-
84929684999
-
Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets
-
COI: 1:CAS:528:DC%2BC2MXpt1Sgt7o%3D, PID: 26000488
-
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
-
5
-
-
84929684998
-
Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells
-
COI: 1:CAS:528:DC%2BC2MXpt1SgtL0%3D, PID: 26000487, References 4 and 5 are two of the first published high-cell-throughput droplet-based methods for scRNA-seq
-
Klein, A. M. et al. Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells. Cell 161, 1187–1201 (2015). References 4 and 5 are two of the first published high-cell-throughput droplet-based methods for scRNA-seq.
-
(2015)
Cell
, vol.161
, pp. 1187-1201
-
-
Klein, A.M.1
-
6
-
-
85009446777
-
Massively parallel digital transcriptional profiling of single cells
-
COI: 1:CAS:528:DC%2BC2sXht1WlsLo%3D, PID: 28091601
-
Zheng, G. X. Y. et al. Massively parallel digital transcriptional profiling of single cells. Nat. Commun. 8, 14049 (2017).
-
(2017)
Nat. Commun.
, vol.8
-
-
Zheng, G.X.Y.1
-
7
-
-
85028303209
-
Comprehensive single-cell transcriptional profiling of a multicellular organism
-
COI: 1:CAS:528:DC%2BC2sXhtlehtL7P, PID: 28818938
-
Cao, J. et al. Comprehensive single-cell transcriptional profiling of a multicellular organism. Science 357, 661–667 (2017).
-
(2017)
Science
, vol.357
, pp. 661-667
-
-
Cao, J.1
-
8
-
-
85044434871
-
Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding
-
Rosenberg, A. B. et al. Single-cell profiling of the developing mouse brain and spinal cord with split-pool barcoding. Science 360, eaam8999 (2018).
-
(2018)
Science
, vol.360
-
-
Rosenberg, A.B.1
-
9
-
-
79953766940
-
Tumour evolution inferred by single-cell sequencing
-
COI: 1:CAS:528:DC%2BC3MXjtVGnu7s%3D, PID: 21399628
-
Navin, N. et al. Tumour evolution inferred by single-cell sequencing. Nature 472, 90–94 (2011).
-
(2011)
Nature
, vol.472
, pp. 90-94
-
-
Navin, N.1
-
10
-
-
85010982914
-
Sequencing thousands of single-cell genomes with combinatorial indexing
-
COI: 1:CAS:528:DC%2BC2sXhvV2hsrc%3D, PID: 28135258
-
Vitak, S. A. et al. Sequencing thousands of single-cell genomes with combinatorial indexing. Nat. Methods 14, 302–308 (2017).
-
(2017)
Nat. Methods
, vol.14
, pp. 302-308
-
-
Vitak, S.A.1
-
11
-
-
85022345215
-
Simultaneous measurement of chromatin accessibility, DNA methylation, and nucleosome phasing in single cells
-
Pott, S. Simultaneous measurement of chromatin accessibility, DNA methylation, and nucleosome phasing in single cells. eLife 6, 1127 (2017).
-
(2017)
eLife
, vol.6
, pp. 1127
-
-
Pott, S.1
-
12
-
-
84982146199
-
Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution
-
COI: 1:CAS:528:DC%2BC28XhtlChsr3J, PID: 27526324
-
Corces, M. R. et al. Lineage-specific and single-cell chromatin accessibility charts human hematopoiesis and leukemia evolution. Nat. Genet. 48, 1193–1203 (2016).
-
(2016)
Nat. Genet.
, vol.48
, pp. 1193-1203
-
-
Corces, M.R.1
-
13
-
-
84937857359
-
Single-cell chromatin accessibility reveals principles of regulatory variation
-
COI: 1:CAS:528:DC%2BC2MXhtFyltLrN, PID: 26083756
-
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
-
14
-
-
84930006926
-
Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing
-
COI: 1:CAS:528:DC%2BC2MXosFaksLk%3D, PID: 25953818
-
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
-
15
-
-
85040463710
-
Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain
-
COI: 1:CAS:528:DC%2BC2sXhvFGmurrM, PID: 29227469
-
Lake, B. B. et al. Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain. Nat. Biotechnol. 36, 70–80 (2018).
-
(2018)
Nat. Biotechnol.
, vol.36
, pp. 70-80
-
-
Lake, B.B.1
-
16
-
-
85027126307
-
Single-cell methylomes identify neuronal subtypes and regulatory elements in mammalian cortex
-
COI: 1:CAS:528:DC%2BC2sXhtlehur%2FE, PID: 28798132
-
Luo, C. et al. Single-cell methylomes identify neuronal subtypes and regulatory elements in mammalian cortex. Science 357, 600–604 (2017).
-
(2017)
Science
, vol.357
, pp. 600-604
-
-
Luo, C.1
-
17
-
-
84905405443
-
Single-cell genome-wide bisulfite sequencing for assessing epigenetic heterogeneity
-
COI: 1:CAS:528:DC%2BC2cXhslelsLvN, PID: 25042786
-
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
-
18
-
-
84890526238
-
Single-cell methylome landscapes of mouse embryonic stem cells and early embryos analyzed using reduced representation bisulfite sequencing
-
COI: 1:CAS:528:DC%2BC3sXhvFCisLjN, PID: 24179143
-
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
-
19
-
-
85046700026
-
Highly scalable generation of DNA methylation profiles in single cells
-
COI: 1:CAS:528:DC%2BC1cXntlCku74%3D, PID: 29644997
-
Mulqueen, R. M. et al. Highly scalable generation of DNA methylation profiles in single cells. Nat. Biotechnol. 36, 428–431 (2018).
-
(2018)
Nat. Biotechnol.
, vol.36
, pp. 428-431
-
-
Mulqueen, R.M.1
-
20
-
-
85028316331
-
Simultaneous epitope and transcriptome measurement in single cells
-
This study presents a method for simultaneously measuring gene expression and proteins single cells through an innovative barcoding strategy
-
Stoeckius, M. et al. Simultaneous epitope and transcriptome measurement in single cells. Nat. Methods 9, 2579 (2017). This study presents a method for simultaneously measuring gene expression and proteins in single cells through an innovative barcoding strategy.
-
(2017)
Nat. Methods
, vol.9
, pp. 2579
-
-
Stoeckius, M.1
-
21
-
-
85064583121
-
Multiplexed quantification of proteins and transcripts in single cells
-
Peterson, V. M. et al. Multiplexed quantification of proteins and transcripts in single cells. Nat. Biotechnol. 161, 1202 (2017).
-
(2017)
Nat. Biotechnol.
, vol.161
, pp. 1202
-
-
Peterson, V.M.1
-
22
-
-
85003530619
-
Single-cell sequencing of the small-RNA transcriptome
-
COI: 1:CAS:528:DC%2BC28Xhsl2hs7fM, PID: 27798564
-
Faridani, O. R. et al. Single-cell sequencing of the small-RNA transcriptome. Nat. Biotechnol. 34, 1264–1266 (2016).
-
(2016)
Nat. Biotechnol.
, vol.34
, pp. 1264-1266
-
-
Faridani, O.R.1
-
23
-
-
84873383204
-
Detection of histone modifications at specific gene loci in single cells in histological sections
-
COI: 1:CAS:528:DC%2BC3sXntFOntw%3D%3D, PID: 23314172
-
Gomez, D., Shankman, L. S., Nguyen, A. T. & Owens, G. K. Detection of histone modifications at specific gene loci in single cells in histological sections. Nat. Methods 10, 171–177 (2013).
-
(2013)
Nat. Methods
, vol.10
, pp. 171-177
-
-
Gomez, D.1
Shankman, L.S.2
Nguyen, A.T.3
Owens, G.K.4
-
24
-
-
84946545109
-
Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state
-
COI: 1:CAS:528:DC%2BC2MXhs1ChurfK, PID: 26458175
-
Rotem, A. et al. Single-cell ChIP-seq reveals cell subpopulations defined by chromatin state. Nat. Biotechnol. 33, 1165–1172 (2015).
-
(2015)
Nat. Biotechnol.
, vol.33
, pp. 1165-1172
-
-
Rotem, A.1
-
25
-
-
85011003039
-
Massively multiplex single-cell Hi-C
-
Ramani, V. et al. Massively multiplex single-cell Hi-C. Nat. Methods 14, 1–6 (2017).
-
(2017)
Nat. Methods
, vol.14
, pp. 1-6
-
-
Ramani, V.1
-
26
-
-
84885617426
-
Single-cell Hi-C reveals cell-to-cell variability in chromosome structure
-
COI: 1:CAS:528:DC%2BC3sXhsFaksbvN, PID: 24067610
-
Nagano, T. et al. Single-cell Hi-C reveals cell-to-cell variability in chromosome structure. Nature 502, 59–64 (2013).
-
(2013)
Nature
, vol.502
, pp. 59-64
-
-
Nagano, T.1
-
27
-
-
85016160400
-
Synthetic recording and in situ readout of lineage information in single cells
-
COI: 1:CAS:528:DC%2BC2sXjs1Kktw%3D%3D, PID: 27869821
-
Frieda, K. L. et al. Synthetic recording and in situ readout of lineage information in single cells. Nature 541, 107–111 (2017).
-
(2017)
Nature
, vol.541
, pp. 107-111
-
-
Frieda, K.L.1
-
28
-
-
84974576984
-
Whole-organism lineage tracing by combinatorial and cumulative genome editing
-
PID: 27229144
-
McKenna, A. et al. Whole-organism lineage tracing by combinatorial and cumulative genome editing. Science 353, aaf7907 (2016).
-
(2016)
Science
, vol.353
, pp. aaf7907
-
-
McKenna, A.1
-
29
-
-
84992437479
-
In situ transcription profiling of single cells reveals spatial organization of cells in the mouse hippocampus
-
COI: 1:CAS:528:DC%2BC28XhslSqtr%2FM, PID: 27764670
-
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 92, 342–357 (2016).
-
(2016)
Neuron
, vol.92
, pp. 342-357
-
-
Shah, S.1
Lubeck, E.2
Zhou, W.3
Cai, L.4
-
30
-
-
84897090228
-
Highly multiplexed subcellular RNA sequencing in situ
-
COI: 1:CAS:528:DC%2BC2cXktl2gs7k%3D, PID: 24578530
-
Lee, J. H. et al. Highly multiplexed subcellular RNA sequencing in situ. Science 343, 1360–1363 (2014).
-
(2014)
Science
, vol.343
, pp. 1360-1363
-
-
Lee, J.H.1
-
31
-
-
85048929494
-
Three-dimensional intact-tissue sequencing of single-cell transcriptional states
-
PID: 29930089, This study greatly increases the number of genes able to be spatially profiled a single experiment through the development of combinatorial smFISH indexing and tissue clearing methods
-
Wang, X. et al. Three-dimensional intact-tissue sequencing of single-cell transcriptional states. Science 361, eaat5691 (2018). This study greatly increases the number of genes able to be spatially profiled in a single experiment through the development of combinatorial smFISH indexing and tissue clearing methods.
-
(2018)
Science
, vol.361
-
-
Wang, X.1
-
32
-
-
85045131214
-
Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain
-
COI: 1:CAS:528:DC%2BC1cXmslKrtLw%3D, PID: 29608178, This study is one of the first to simultaneously measure the transcriptome and cell lineage relationships
-
Raj, B. et al. Simultaneous single-cell profiling of lineages and cell types in the vertebrate brain. Nat. Biotechnol. 36, 442–450 (2018). This is one of the first studies to simultaneously measure the transcriptome and cell lineage relationships.
-
(2018)
Nat. Biotechnol.
, vol.36
, pp. 442-450
-
-
Raj, B.1
-
33
-
-
85045151597
-
Whole-organism clone tracing using single-cell sequencing
-
COI: 1:CAS:528:DC%2BC1cXmt1aqtL4%3D, PID: 29590089
-
Alemany, A., Florescu, M., Baron, C. S., Peterson-Maduro, J. & van Oudenaarden, A. Whole-organism clone tracing using single-cell sequencing. Nature 556, 108–112 (2018).
-
(2018)
Nature
, vol.556
, pp. 108-112
-
-
Alemany, A.1
Florescu, M.2
Baron, C.S.3
Peterson-Maduro, J.4
van Oudenaarden, A.5
-
34
-
-
85045136951
-
Simultaneous lineage tracing and cell-type identification using CRISPR–Cas9-induced genetic scars
-
COI: 1:CAS:528:DC%2BC1cXntlCkurc%3D, PID: 29644996
-
Spanjaard, B. et al. Simultaneous lineage tracing and cell-type identification using CRISPR–Cas9-induced genetic scars. Nat. Biotechnol. 36, 469–473 (2018).
-
(2018)
Nat. Biotechnol.
, vol.36
, pp. 469-473
-
-
Spanjaard, B.1
-
35
-
-
85055838715
-
Spatial organization of the somatosensory cortex revealed by osmFISH
-
COI: 1:CAS:528:DC%2BC1cXitVCks7nK, PID: 30377364
-
Codeluppi, S. et al. Spatial organization of the somatosensory cortex revealed by osmFISH. Nat. Methods 15, 932–935 (2018).
-
(2018)
Nat. Methods
, vol.15
, pp. 932-935
-
-
Codeluppi, S.1
-
36
-
-
0026588147
-
Analysis of gene expression in single live neurons
-
COI: 1:CAS:528:DyaK38XitVyrs7g%3D, PID: 1557406
-
Eberwine, J. et al. Analysis of gene expression in single live neurons. Proc. Natl Acad. Sci. USA 89, 3010–3014 (1992).
-
(1992)
Proc. Natl Acad. Sci. USA
, vol.89
, pp. 3010-3014
-
-
Eberwine, J.1
-
37
-
-
67349146589
-
mRNA-Seq whole-transcriptome analysis of a single cell
-
COI: 1:CAS:528:DC%2BD1MXktVKgu78%3D, PID: 19349980
-
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
-
38
-
-
84887101406
-
Smart-seq2 for sensitive full-length transcriptome profiling in single cells
-
COI: 1:CAS:528:DC%2BC3sXhsVyqtb%2FM, PID: 24056875
-
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
-
39
-
-
74549115234
-
Single-cell gene profiling of planarian stem cells using fluorescent activated cell sorting and its ‘index sorting’ function for stem cell research
-
COI: 1:CAS:528:DC%2BC3cXisVamu7c%3D, PID: 20078655
-
Hayashi, T. et al. Single-cell gene profiling of planarian stem cells using fluorescent activated cell sorting and its ‘index sorting’ function for stem cell research. Dev. Growth Differ. 52, 131–144 (2010).
-
(2010)
Dev. Growth Differ.
, vol.52
, pp. 131-144
-
-
Hayashi, T.1
-
40
-
-
84940446838
-
Combined single-cell functional and gene expression analysis resolves heterogeneity within stem cell populations
-
COI: 1:CAS:528:DC%2BC2MXovVCmsL0%3D, PID: 26004780
-
Wilson, N. K. et al. Combined single-cell functional and gene expression analysis resolves heterogeneity within stem cell populations. Cell Stem Cell 16, 712–724 (2015).
-
(2015)
Cell Stem Cell
, vol.16
, pp. 712-724
-
-
Wilson, N.K.1
-
41
-
-
84950290139
-
Transcriptional heterogeneity and lineage commitment in myeloid progenitors
-
COI: 1:CAS:528:DC%2BC2MXhvFagur7P, This study performs index sorting coupled to scRNA-seq on myeloid progenitor cells and identifies transcriptional heterogeneity within sorted populations
-
Paul, F. et al. Transcriptional heterogeneity and lineage commitment in myeloid progenitors. Cell 163, 1663–1677 (2015). This study performs index sorting coupled to scRNA-seq on myeloid progenitor cells and identifies transcriptional heterogeneity within sorted populations.
-
(2015)
Cell
, vol.163
, pp. 1663-1677
-
-
Paul, F.1
-
42
-
-
85009113270
-
A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation
-
COI: 1:CAS:528:DC%2BC28XhslOktrjE, PID: 27365425
-
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
-
43
-
-
85035343759
-
STRT-seq-2i: dual-index 5ʹ single cell and nucleus RNA-seq on an addressable microwell array
-
PID: 29180631
-
Hochgerner, H. et al. STRT-seq-2i: dual-index 5' single cell and nucleus RNA-seq on an addressable microwell array. Sci. Rep. 7, 16327 (2017).
-
(2017)
Sci. Rep.
, vol.7
-
-
Hochgerner, H.1
-
44
-
-
84930178333
-
G&T-seq: parallel sequencing of single-cell genomes and transcriptomes
-
COI: 1:CAS:528:DC%2BC2MXnslOnsrs%3D, PID: 25915121
-
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
-
45
-
-
84924423596
-
Integrated genome and transcriptome sequencing of the same cell
-
COI: 1:CAS:528:DC%2BC2MXhtFOjuro%3D, PID: 25599178
-
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
-
46
-
-
84959255113
-
Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity
-
COI: 1:CAS:528:DC%2BC28XmslyhsQ%3D%3D, PID: 26752769, This study performs parallel DNA methylome and transcriptome sequencing the same cell and examines the relationships between DNA methylation and gene expression
-
Angermueller, C. et al. Parallel single-cell sequencing links transcriptional and epigenetic heterogeneity. Nat. Methods 13, 229–232 (2016). This study performs parallel DNA methylome and transcriptome sequencing in the same cell and examines the relationships between DNA methylation and gene expression.
-
(2016)
Nat. Methods
, vol.13
, pp. 229-232
-
-
Angermueller, C.1
-
47
-
-
84865790047
-
An integrated encyclopedia of DNA elements in the human genome
-
ENCODE Project Consortium. An integrated encyclopedia of DNA elements in the human genome. Nature 489, 57–74 (2012).
-
(2012)
Nature
, vol.489
, pp. 57-74
-
-
-
48
-
-
85054154765
-
Joint profiling of chromatin accessibility and gene expression in thousands of single cells
-
COI: 1:CAS:528:DC%2BC1cXhslOrur3I, PID: 30166440
-
Cao, J. et al. Joint profiling of chromatin accessibility and gene expression in thousands of single cells. Science 361, 1380–1385 (2018).
-
(2018)
Science
, vol.361
, pp. 1380-1385
-
-
Cao, J.1
-
49
-
-
84955371502
-
Simultaneous multiplexed measurement of RNA and proteins in single cells
-
COI: 1:CAS:528:DC%2BC28XhvFaqsw%3D%3D, PID: 26748716
-
Darmanis, S. et al. Simultaneous multiplexed measurement of RNA and proteins in single cells. Cell Rep. 14, 380–389 (2016).
-
(2016)
Cell Rep.
, vol.14
, pp. 380-389
-
-
Darmanis, S.1
-
50
-
-
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, 1–15 (2016).
-
(2016)
Genome Biol.
, vol.17
, pp. 1-15
-
-
Genshaft, A.S.1
-
51
-
-
28644438323
-
Proximity extension of circular DNA aptamers with real-time protein detection
-
Di Giusto, D. A., Wlassoff, W. A., Gooding, J. J., Messerle, B. A. & King, G. C. Proximity extension of circular DNA aptamers with real-time protein detection. Nucleic Acids Res. 33, e64 (2005).
-
(2005)
Nucleic Acids ReTm.
, vol.33
-
-
Di Giusto, D.A.1
Wlassoff, W.A.2
Gooding, J.J.3
Messerle, B.A.4
King, G.C.5
-
52
-
-
85006488344
-
Perturb-Seq: dissecting molecular circuits with scalable single-cell RNA profiling of pooled genetic screens
-
COI: 1:CAS:528:DC%2BC28XitFWlsrvI, PID: 27984732
-
Dixit, A. et al. Perturb-Seq: dissecting molecular circuits with scalable single-cell RNA profiling of pooled genetic screens. Cell 167, 1853–1866 (2016).
-
(2016)
Cell
, vol.167
, pp. 1853-1866
-
-
Dixit, A.1
-
53
-
-
85006345820
-
A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response
-
COI: 1:CAS:528:DC%2BC28XitFWlsrjK, PID: 27984733
-
Adamson, B. et al. A multiplexed single-cell CRISPR screening platform enables systematic dissection of the unfolded protein response. Cell 167, 1867–1873 (2016).
-
(2016)
Cell
, vol.167
, pp. 1867-1873
-
-
Adamson, B.1
-
54
-
-
85010898455
-
Pooled CRISPR screening with single-cell transcriptome readout
-
COI: 1:CAS:528:DC%2BC2sXhtlKjsrk%3D, PID: 28099430
-
Datlinger, P. et al. Pooled CRISPR screening with single-cell transcriptome readout. Nat. Methods 14, 297–301 (2017).
-
(2017)
Nat. Methods
, vol.14
, pp. 297-301
-
-
Datlinger, P.1
-
55
-
-
85006269827
-
Dissecting immune circuits by linking CRISPR- pooled screens with single-cell RNA-Seq
-
COI: 1:CAS:528:DC%2BC28XitFWlsrvP, PID: 27984734, References 52–55 are the first to perform pooled genetic screens using CRISPR–Cas9 coupled to scRNA-seq to infer causal relationships gene regulatory networks
-
Jaitin, D. A. et al. Dissecting immune circuits by linking CRISPR- pooled screens with single-cell RNA-Seq. Cell 167, 1883–1888 (2016). References 52–55 are the first to perform pooled genetic screens using CRISPR–Cas9 coupled to scRNA-seq to infer causal relationships in gene regulatory networks.
-
(2016)
Cell
, vol.167
, pp. 1883-1888
-
-
Jaitin, D.A.1
-
56
-
-
85020467141
-
CRISPR–Cas9 epigenome editing enables high-throughput screening for functional regulatory elements in the human genome
-
COI: 1:CAS:528:DC%2BC2sXltl2ru7w%3D, PID: 28369033
-
Klann, T. S. et al. CRISPR–Cas9 epigenome editing enables high-throughput screening for functional regulatory elements in the human genome. Nat. Biotechnol. 35, 561 (2017).
-
(2017)
Nat. Biotechnol.
, vol.35
, pp. 561
-
-
Klann, T.S.1
-
57
-
-
84961290066
-
Editing the epigenome: technologies for programmable transcription and epigenetic modulation
-
COI: 1:CAS:528:DC%2BC28Xhs12hsLk%3D, PID: 26820547
-
Thakore, P. I., Black, J. B., Hilton, I. B. & Gersbach, C. A. Editing the epigenome: technologies for programmable transcription and epigenetic modulation. Nat. Methods 13, 127–137 (2016).
-
(2016)
Nat. Methods
, vol.13
, pp. 127-137
-
-
Thakore, P.I.1
Black, J.B.2
Hilton, I.B.3
Gersbach, C.A.4
-
58
-
-
84988569121
-
Editing DNA methylation in the mammalian genome
-
COI: 1:CAS:528:DC%2BC28XhsFKmtbfF, PID: 27662091
-
Liu, X. S. et al. Editing DNA methylation in the mammalian genome. Cell 167, 233–247 (2016).
-
(2016)
Cell
, vol.167
, pp. 233-247
-
-
Liu, X.S.1
-
59
-
-
84929135130
-
Epigenome editing by a CRISPR-Cas9-based acetyltransferase activates genes from promoters and enhancers
-
COI: 1:CAS:528:DC%2BC2MXmtVarsr0%3D, PID: 25849900
-
Hilton, I. B. et al. Epigenome editing by a CRISPR-Cas9-based acetyltransferase activates genes from promoters and enhancers. Nat. Biotechnol. 33, 510–517 (2015).
-
(2015)
Nat. Biotechnol.
, vol.33
, pp. 510-517
-
-
Hilton, I.B.1
-
60
-
-
84923096541
-
Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex
-
COI: 1:CAS:528:DC%2BC2MXhvVWhtbo%3D
-
Konermann, S. et al. Genome-scale transcriptional activation by an engineered CRISPR-Cas9 complex. Nature 517, 583–588 (2015).
-
(2015)
Nature
, vol.517
, pp. 583-588
-
-
Konermann, S.1
-
61
-
-
84908352138
-
Genome-scale CRISPR-mediated control of gene repression and activation
-
COI: 1:CAS:528:DC%2BC2cXhslelsrfJ, PID: 4253859
-
Gilbert, L. A. et al. Genome-scale CRISPR-mediated control of gene repression and activation. Cell 159, 647–661 (2014).
-
(2014)
Cell
, vol.159
, pp. 647-661
-
-
Gilbert, L.A.1
-
62
-
-
85041478284
-
Dual gene activation and knockout screen reveals directional dependencies in genetic networks
-
COI: 1:CAS:528:DC%2BC1cXovVCitQ%3D%3D, PID: 29334369
-
Boettcher, M. et al. Dual gene activation and knockout screen reveals directional dependencies in genetic networks. Nat. Biotechnol. 36, 170–178 (2018).
-
(2018)
Nat. Biotechnol.
, vol.36
, pp. 170-178
-
-
Boettcher, M.1
-
63
-
-
85019143041
-
Quantitative analysis of synthetic cell lineage tracing using nuclease barcoding
-
COI: 1:CAS:528:DC%2BC2sXjs12gu7c%3D, PID: 28264564
-
Schmidt, S. T., Zimmerman, S. M., Wang, J., Kim, S. K. & Quake, S. R. Quantitative analysis of synthetic cell lineage tracing using nuclease barcoding. ACS Synth. Biol. 6, 936–942 (2017).
-
(2017)
ACS Synth. Biol.
, vol.6
, pp. 936-942
-
-
Schmidt, S.T.1
Zimmerman, S.M.2
Wang, J.3
Kim, S.K.4
Quake, S.R.5
-
64
-
-
84945278558
-
Somatic mutation in single human neurons tracks developmental and transcriptional history
-
COI: 1:CAS:528:DC%2BC2MXhsFOksL3N, PID: 26430121
-
Lodato, M. A. et al. Somatic mutation in single human neurons tracks developmental and transcriptional history. Science 350, 94–98 (2015).
-
(2015)
Science
, vol.350
, pp. 94-98
-
-
Lodato, M.A.1
-
65
-
-
84963614956
-
Dissecting the multicellular ecosystem of metastatic melanoma by single-cell RNA-seq
-
COI: 1:CAS:528:DC%2BC28XlsFSmurk%3D, PID: 27124452
-
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
-
66
-
-
85050862007
-
Linking transcriptional and genetic tumor heterogeneity through allele analysis of single-cell RNA-seq data
-
COI: 1:CAS:528:DC%2BC1cXhs1emurbJ, PID: 29898899
-
Fan, J. et al. Linking transcriptional and genetic tumor heterogeneity through allele analysis of single-cell RNA-seq data. Genome Res. 28, 1217–1227 (2018).
-
(2018)
Genome Res.
, vol.28
, pp. 1217-1227
-
-
Fan, J.1
-
67
-
-
85040446434
-
Multiplexed droplet single-cell RNA-sequencing using natural genetic variation
-
COI: 1:CAS:528:DC%2BC2sXhvFGmur3F, PID: 29227470
-
Kang, H. M. et al. Multiplexed droplet single-cell RNA-sequencing using natural genetic variation. Nat. Biotechnol. 36, 89–94 (2018).
-
(2018)
Nat. Biotechnol.
, vol.36
, pp. 89-94
-
-
Kang, H.M.1
-
68
-
-
85044715062
-
Single-cell RNA sequencing identifies celltype-specific cis-eQTLs and co-expression QTLs
-
PID: 29610479
-
van der Wijst, M. G. P. et al. Single-cell RNA sequencing identifies celltype-specific cis-eQTLs and co-expression QTLs. Nat. Genet. 50, 493–497 (2018).
-
(2018)
Nat. Genet.
, vol.50
, pp. 493-497
-
-
van der Wijst, M.G.P.1
-
69
-
-
85031313737
-
Genetic effects on gene expression across human tissues
-
Aguet, F. et al. Genetic effects on gene expression across human tissues. Nature 550, 204–213 (2017).
-
(2017)
Nature
, vol.550
, pp. 204-213
-
-
Aguet, F.1
-
70
-
-
85052109231
-
RNA velocity of single cells
-
PID: 30089906, This study develops a method of deriving the rate of change gene expression from scRNA-seq data through the measurement of intronic RNA read abundance each cell
-
La Manno, G. et al. RNA velocity of single cells. Nature 560, 494–498 (2018). This study develops a method of deriving the rate of change in gene expression from scRNA-seq data through the measurement of intronic RNA read abundance in each cell.
-
(2018)
Nature
, vol.560
, pp. 494-498
-
-
La Manno, G.1
-
71
-
-
85031017685
-
Reversed graph embedding resolves complex single-cell trajectories
-
COI: 1:CAS:528:DC%2BC2sXhtlKjtbbK, PID: 28825705
-
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
-
72
-
-
84984643819
-
Diffusion pseudotime robustly reconstructs lineage branching
-
COI: 1:CAS:528:DC%2BC28XhsVWrs7zI
-
Haghverdi, L., Büttner, M., Wolf, F. A., Buettner, F. & Theis, F. J. Diffusion pseudotime robustly reconstructs lineage branching. Nat. Methods 13, 845–848 (2016).
-
(2016)
Nat. Methods
, vol.13
, pp. 845-848
-
-
Haghverdi, L.1
Büttner, M.2
Wolf, F.A.3
Buettner, F.4
Theis, F.J.5
-
73
-
-
84900873950
-
The dynamics and regulators of cell fate decisions are revealed by pseudotemporal ordering of single cells
-
COI: 1:CAS:528:DC%2BC2cXks12ku7c%3D, PID: 24658644, This study introduces the first method to order individual cells along a pseudotime trajectory
-
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). This study introduces the first method to order individual cells along a pseudotime trajectory.
-
(2014)
Nat. Biotechnol.
, vol.32
, pp. 381-386
-
-
Trapnell, C.1
-
74
-
-
84974587998
-
Wishbone identifies bifurcating developmental trajectories from single-cell data
-
COI: 1:CAS:528:DC%2BC28XmvFOqsrs%3D, PID: 27136076
-
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
-
75
-
-
85042766930
-
Fundamental limits on dynamic inference from single-cell snapshots
-
COI: 1:CAS:528:DC%2BC1cXht1egtb3O, PID: 29463712
-
Weinreb, C., Wolock, S., Tusi, B. K., Socolovsky, M. & Klein, A. M. Fundamental limits on dynamic inference from single-cell snapshots. Proc. Natl Acad. Sci. USA 115, E2467–E2476 (2018).
-
(2018)
Proc. Natl Acad. Sci. USA
, vol.115
, pp. E2467-E2476
-
-
Weinreb, C.1
Wolock, S.2
Tusi, B.K.3
Socolovsky, M.4
Klein, A.M.5
-
76
-
-
84991380039
-
Dimension reduction techniques for the integrative analysis of multi-omics data
-
COI: 1:CAS:528:DC%2BC1cXlsVSqs7o%3D, PID: 26969681
-
Meng, C. et al. Dimension reduction techniques for the integrative analysis of multi-omics data. Brief. Bioinform. 17, 628–641 (2016).
-
(2016)
Brief. Bioinform.
, vol.17
, pp. 628-641
-
-
Meng, C.1
-
77
-
-
85049250191
-
Multi-omics factor analysis-a framework for unsupervised integration of multi-omics data sets
-
PID: 29925568
-
Argelaguet, R. et al. Multi-omics factor analysis-a framework for unsupervised integration of multi-omics data sets. Mol. Syst. Biol. 14, e8124 (2018).
-
(2018)
Mol. Syst. Biol.
, vol.14
-
-
Argelaguet, R.1
-
78
-
-
85045325679
-
Statistical single cell multi-omics integration
-
Colomé-Tatché, M. & Theis, F. J. Statistical single cell multi-omics integration. Curr. Opin. Syst. Biol. 7, 54–59 (2018).
-
(2018)
Curr. Opin. Syst. Biol.
, vol.7
, pp. 54-59
-
-
Colomé-Tatché, M.1
Theis, F.J.2
-
79
-
-
84925226706
-
T. svaseq: removing batch effects and other unwanted noise from sequencing data
-
Leek, J. T. svaseq: removing batch effects and other unwanted noise from sequencing data. Nucleic Acids Res. 42, e161 (2014).
-
(2014)
Nucleic Acids Res.
, vol.42
-
-
Leek, J.1
-
80
-
-
85046298440
-
Integrating single-cell transcriptomic data across different conditions, technologies, and species
-
COI: 1:CAS:528:DC%2BC1cXmslKrtL0%3D, PID: 29608179, This study pioneers the use of CCA to jointly reduce dimensionality for a pair of scRNA-seq data sets, allowing common cell states to be identified across data sets
-
Butler, A., Hoffman, P., Smibert, P., Papalexi, E. & Satija, R. Integrating single-cell transcriptomic data across different conditions, technologies, and species. Nat. Biotechnol. 36, 411–420 (2018). This study pioneers the use of CCA to jointly reduce dimensionality for a pair of scRNA-seq data sets, allowing common cell states to be identified across data sets.
-
(2018)
Nat. Biotechnol.
, vol.36
, pp. 411-420
-
-
Butler, A.1
Hoffman, P.2
Smibert, P.3
Papalexi, E.4
Satija, R.5
-
81
-
-
85046289733
-
Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors
-
COI: 1:CAS:528:DC%2BC1cXmslKrtLo%3D, PID: 29608177, This study introduces the concept of using MNNs as a method for identifying equivalent cell states across data sets
-
Haghverdi, L., Lun, A. T. L., Morgan, M. D. & Marioni, J. C. Batch effects in single-cell RNA-sequencing data are corrected by matching mutual nearest neighbors. Nat. Biotechnol. 36, 421–427 (2018). This study introduces the concept of using MNNs as a method for identifying equivalent cell states across data sets.
-
(2018)
Nat. Biotechnol.
, vol.36
, pp. 421-427
-
-
Haghverdi, L.1
Lun, A.T.L.2
Morgan, M.D.3
Marioni, J.C.4
-
82
-
-
84929151009
-
Spatial reconstruction of single-cell gene expression data
-
COI: 1:CAS:528:DC%2BC2MXmtlKktLo%3D, PID: 25867923
-
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
-
83
-
-
84959201130
-
-
Dekel, T., Oron, S., Rubinstein, M., Avidan, S. & Freeman, W. T. in Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition 2021–2029 (IEEE, 2015).
-
(2015)
Proc. of the IEEE Conf. on Computer Vision and Pattern Recognition 2021–2029 (IEEE
-
-
Dekel, T.1
Oron, S.2
Rubinstein, M.3
Avidan, S.4
Freeman, W.T.5
-
84
-
-
85059447728
-
Panoramic stitching of heterogeneous single-cell transcriptomic data
-
Preprint at
-
Hie, B. L., Bryson, B. & Berger, B. Panoramic stitching of heterogeneous single-cell transcriptomic data. Preprint at bioRxiv 10.1101/371179 (2018).
-
(2018)
bioRxiv
-
-
Hie, B.L.1
Bryson, B.2
Berger, B.3
-
85
-
-
85059469747
-
Wiring together large single-cell RNA-seq sample collections
-
Preprint at
-
Barkas, N. et al. Wiring together large single-cell RNA-seq sample collections. Preprint at bioRxiv 10.1101/460246 (2018).
-
(2018)
bioRxiv
-
-
Barkas, N.1
-
86
-
-
85064586448
-
Fast batch alignment of single cell transcriptomes unifies multiple mouse cell atlases into an integrated landscape
-
Preprint at
-
Park, J.-E., Polanski, K., Meyer, K. & Teichmann, S. A. Fast batch alignment of single cell transcriptomes unifies multiple mouse cell atlases into an integrated landscape. Preprint at bioRxiv 10.1101/397042 (2018).
-
(2018)
bioRxiv
-
-
Park, J.-E.1
Polanski, K.2
Meyer, K.3
Teichmann, S.A.4
-
87
-
-
85064584387
-
Fast, sensitive, and flexible integration of single cell data with Harmony
-
Preprint at
-
Korsunsky, I. et al. Fast, sensitive, and flexible integration of single cell data with Harmony. Preprint at bioRxiv 10.1101/461954 (2018).
-
(2018)
bioRxiv
-
-
Korsunsky, I.1
-
88
-
-
85058917218
-
Comprehensive integration of single cell data
-
Preprint at
-
Stuart, T. et al. Comprehensive integration of single cell data. Preprint at bioRxiv 10.1101/460147 (2018).
-
(2018)
bioRxiv
-
-
Stuart, T.1
-
89
-
-
85059455396
-
Integrative inference of brain cell similarities and differences from single-cell genomics
-
Preprint at
-
Welch, J. et al. Integrative inference of brain cell similarities and differences from single-cell genomics. Preprint at bioRxiv 10.1101/459891 (2018).
-
(2018)
bioRxiv
-
-
Welch, J.1
-
90
-
-
85028864573
-
The Drosophila embryo at single-cell transcriptome resolution
-
This study combines scRNA-seq and situ hybridization data to predict spatial patterns of gene expression the Drosophila embryo
-
Karaiskos, N. et al. The Drosophila embryo at single-cell transcriptome resolution. Science 358, 194–198 (2017). This study combines scRNA-seq and in situ hybridization data to predict spatial patterns of gene expression in the Drosophila embryo.
-
(2017)
Science
, vol.8
-
-
Karaiskos, N.1
-
91
-
-
85046552723
-
Evolution of pallium, hippocampus, and cortical cell types revealed by single-cell transcriptomics in reptiles
-
COI: 1:CAS:528:DC%2BC1cXpvFGjsbg%3D, PID: 29724907
-
Tosches, M. A. et al. Evolution of pallium, hippocampus, and cortical cell types revealed by single-cell transcriptomics in reptiles. Science 360, 881–888 (2018).
-
(2018)
Science
, vol.360
, pp. 881-888
-
-
Tosches, M.A.1
-
92
-
-
84994641696
-
A single-cell transcriptomic map of the human and mouse pancreas reveals inter- and intra-cell population structure
-
COI: 1:CAS:528:DC%2BC2sXhtFalsrk%3D, PID: 27667365
-
Baron, M. et al. A single-cell transcriptomic map of the human and mouse pancreas reveals inter- and intra-cell population structure. Cell Syst. 3, 346–360 (2016).
-
(2016)
Cell Syst.
, vol.3
, pp. 346-360
-
-
Baron, M.1
-
93
-
-
85044974461
-
Alignment of single-cell trajectories to compare cellular expression dynamics
-
COI: 1:CAS:528:DC%2BC1cXktlGlsL8%3D, PID: 29529018
-
Alpert, A., Moore, L. S., Dubovik, T. & Shen-Orr, S. S. Alignment of single-cell trajectories to compare cellular expression dynamics. Nat. Methods 15, 267–270 (2018).
-
(2018)
Nat. Methods
, vol.15
, pp. 267-270
-
-
Alpert, A.1
Moore, L.S.2
Dubovik, T.3
Shen-Orr, S.S.4
-
94
-
-
85040459896
-
Science forum: the human cell atlas
-
PID: 29206104
-
Regev, A. et al. Science forum: the human cell atlas. eLife 6, e27041 (2017).
-
(2017)
eLife
, vol.6
-
-
Regev, A.1
-
95
-
-
85046289245
-
scmap: projection of single-cell RNA-seq data across data sets
-
COI: 1:CAS:528:DC%2BC1cXmslKrurw%3D, PID: 29608555
-
Kiselev, V. Y., Yiu, A. & Hemberg, M. scmap: projection of single-cell RNA-seq data across data sets. Nat. Methods 15, 359–362 (2018).
-
(2018)
Nat. Methods
, vol.15
, pp. 359-362
-
-
Kiselev, V.Y.1
Yiu, A.2
Hemberg, M.3
-
96
-
-
85059476027
-
scPred: single cell prediction using singular value decomposition and machine learning classification
-
Preprint at
-
Alquicira-Hernandez, J., Nguyen, Q. & Powell, J. E. scPred: single cell prediction using singular value decomposition and machine learning classification. Preprint at bioRxiv 10.1101/369538 (2018).
-
(2018)
bioRxiv
-
-
Alquicira-Hernandez, J.1
Nguyen, Q.2
Powell, J.E.3
-
97
-
-
85072188604
-
Mapping transcriptionally equivalent populations across single cell RNA-seq datasets
-
Preprint at
-
Boufea, K., Seth, S. & Batada, N. N. Mapping transcriptionally equivalent populations across single cell RNA-seq datasets. Preprint at bioRxiv 10.1101/470203 (2018).
-
(2018)
bioRxiv
-
-
Boufea, K.1
Seth, S.2
Batada, N.N.3
-
98
-
-
85064582461
-
Moana: a robust and scalable cell type classification framework for single-cell RNA-Seq data
-
Preprint at
-
Wagner, F. & Yanai, I. Moana: a robust and scalable cell type classification framework for single-cell RNA-Seq data. Preprint at bioRxiv 10.1101/456129 (2018).
-
(2018)
bioRxiv
-
-
Wagner, F.1
Yanai, I.2
-
99
-
-
85025599203
-
MATCHER: manifold alignment reveals correspondence between single cell transcriptome and epigenome dynamics
-
PID: 28738873, This study presents a method of aligning pseudotime trajectories developed from different data modalities as a way to compare pseudotemporal changes each modality
-
Welch, J. D., Hartemink, A. J. & Prins, J. F. MATCHER: manifold alignment reveals correspondence between single cell transcriptome and epigenome dynamics. Genome Biol. 18, 138 (2017). This study presents a method of aligning pseudotime trajectories developed from different data modalities as a way to compare pseudotemporal changes in each modality.
-
(2017)
Genome Biol.
, vol.18
-
-
Welch, J.D.1
Hartemink, A.J.2
Prins, J.F.3
-
100
-
-
85050885385
-
Molecular diversity and specializations among the cells of the adult mouse brain
-
COI: 1:CAS:528:DC%2BC1cXhsVyltrrK, PID: 30096299
-
Saunders, A. et al. Molecular diversity and specializations among the cells of the adult mouse brain. Cell 174, 1015–1030 (2018).
-
(2018)
Cell
, vol.174
, pp. 1015-1030
-
-
Saunders, A.1
-
101
-
-
0023644185
-
The segmentation and homeotic gene network in early Drosophila development
-
COI: 1:CAS:528:DyaL1cXltlShsA%3D%3D, PID: 2890437
-
Scott, M. P. & Carroll, S. B. The segmentation and homeotic gene network in early Drosophila development. Cell 51, 689–698 (1987).
-
(1987)
Cell
, vol.51
, pp. 689-698
-
-
Scott, M.P.1
Carroll, S.B.2
-
102
-
-
53349161901
-
Imaging individual mRNA molecules using multiple singly labeled probes
-
COI: 1:CAS:528:DC%2BD1cXhtFKktLbL, PID: 18806792
-
Raj, A., van den Bogaard, P., Rifkin, S. A., van Oudenaarden, A. & Tyagi, S. Imaging individual mRNA molecules using multiple singly labeled probes. Nat. Methods 5, 877–879 (2008).
-
(2008)
Nat. Methods
, vol.5
, pp. 877-879
-
-
Raj, A.1
van den Bogaard, P.2
Rifkin, S.A.3
van Oudenaarden, A.4
Tyagi, S.5
-
103
-
-
84887115231
-
Image-based transcriptomics in thousands of single human cells at single-molecule resolution
-
COI: 1:CAS:528:DC%2BC3sXhsFOiu7jN, PID: 24097269
-
Battich, N., Stoeger, T. & Pelkmans, L. Image-based transcriptomics in thousands of single human cells at single-molecule resolution. Nat. Methods 10, 1127–1133 (2013).
-
(2013)
Nat. Methods
, vol.10
, pp. 1127-1133
-
-
Battich, N.1
Stoeger, T.2
Pelkmans, L.3
-
104
-
-
84928395184
-
Spatially resolved, highly multiplexed RNA profiling in single cells
-
PID: 25858977
-
Chen, K. H., Boettiger, A. N., Moffitt, J. R., Wang, S. & Zhuang, X. Spatially resolved, highly multiplexed RNA profiling in single cells. Science 348, aaa6090 (2015).
-
(2015)
Science
, vol.348
, pp. aaa6090
-
-
Chen, K.H.1
Boettiger, A.N.2
Moffitt, J.R.3
Wang, S.4
Zhuang, X.5
-
105
-
-
85020075574
-
seqFISH accurately detects transcripts in single cells and reveals robust spatial organization in the hippocampus
-
COI: 1:CAS:528:DC%2BC2sXotVCis70%3D, PID: 28521130
-
Shah, S., Lubeck, E., Zhou, W. & Cai, L. seqFISH accurately detects transcripts in single cells and reveals robust spatial organization in the hippocampus. Neuron 94, 752–758 (2017).
-
(2017)
Neuron
, vol.94
, pp. 752-758
-
-
Shah, S.1
Lubeck, E.2
Zhou, W.3
Cai, L.4
-
106
-
-
84989818902
-
High-throughput single-cell gene-expression profiling with multiplexed error-robust fluorescence in situ hybridization
-
COI: 1:CAS:528:DC%2BC28XhsFSltLfO, PID: 27625426
-
Moffitt, J. R. et al. High-throughput single-cell gene-expression profiling with multiplexed error-robust fluorescence in situ hybridization. Proc. Natl Acad. Sci. USA 113, 11046–11051 (2016).
-
(2016)
Proc. Natl Acad. Sci. USA
, vol.113
, pp. 11046-11051
-
-
Moffitt, J.R.1
-
107
-
-
85006056275
-
High-performance multiplexed fluorescence in situ hybridization in culture and tissue with matrix imprinting and clearing
-
COI: 1:CAS:528:DC%2BC28XhvFSlsbvJ, PID: 27911841
-
Moffitt, J. R. et al. High-performance multiplexed fluorescence in situ hybridization in culture and tissue with matrix imprinting and clearing. Proc. Natl Acad. Sci. USA 113, 14456–14461 (2016).
-
(2016)
Proc. Natl Acad. Sci. USA
, vol.113
, pp. 14456-14461
-
-
Moffitt, J.R.1
-
108
-
-
85056571109
-
Molecular, spatial and functional single-cell profiling of the hypothalamic preoptic region
-
PID: 30385464
-
Moffitt, J. R. et al. Molecular, spatial and functional single-cell profiling of the hypothalamic preoptic region. Science 362, eaau5324 (2018).
-
(2018)
Science
, vol.362
-
-
Moffitt, J.R.1
-
109
-
-
85030646641
-
The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing
-
COI: 1:CAS:528:DC%2BC2sXhsF2jtLrJ, PID: 28983044
-
Lein, E., Borm, L. E. & Linnarsson, S. The promise of spatial transcriptomics for neuroscience in the era of molecular cell typing. Science 358, 64–69 (2017).
-
(2017)
Science
, vol.358
, pp. 64-69
-
-
Lein, E.1
Borm, L.E.2
Linnarsson, S.3
-
110
-
-
84976875145
-
Visualization and analysis of gene expression in tissue sections by spatial transcriptomics
-
COI: 1:CAS:528:DC%2BC28XhtVOgtLrF, PID: 27365449
-
Stahl, P. L. et al. Visualization and analysis of gene expression in tissue sections by spatial transcriptomics. Science 353, 78–82 (2016).
-
(2016)
Science
, vol.353
, pp. 78-82
-
-
Stahl, P.L.1
-
111
-
-
84878997106
-
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells
-
COI: 1:CAS:528:DC%2BC3sXotFSmtr4%3D, PID: 23685454
-
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
-
112
-
-
84929166604
-
High-throughput spatial mapping of single-cell RNA-seq data to tissue of origin
-
COI: 1:CAS:528:DC%2BC2MXmtlKktLs%3D, PID: 25867922
-
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
-
113
-
-
85016148799
-
Single-cell spatial reconstruction reveals global division of labour in the mammalian liver
-
COI: 1:CAS:528:DC%2BC2sXisV2ktLY%3D, PID: 28166538
-
Halpern, K. B. et al. Single-cell spatial reconstruction reveals global division of labour in the mammalian liver. Nature 542, 352–356 (2017).
-
(2017)
Nature
, vol.542
, pp. 352-356
-
-
Halpern, K.B.1
-
114
-
-
85045478047
-
SpatialDE: identification of spatially variable genes
-
COI: 1:CAS:528:DC%2BC1cXltVKnsL4%3D, PID: 29553579
-
Svensson, V., Teichmann, S. A. & Stegle, O. SpatialDE: identification of spatially variable genes. Nat. Methods 15, 343–346 (2018).
-
(2018)
Nat. Methods
, vol.15
, pp. 343-346
-
-
Svensson, V.1
Teichmann, S.A.2
Stegle, O.3
-
115
-
-
85045437597
-
Identification of spatial expression trends in single-cell gene expression data
-
PID: 29553578
-
Edsgärd, D., Johnsson, P. & Sandberg, R. Identification of spatial expression trends in single-cell gene expression data. Nat. Methods 15, 339–342 (2018).
-
(2018)
Nat. Methods
, vol.15
, pp. 339-342
-
-
Edsgärd, D.1
Johnsson, P.2
Sandberg, R.3
-
116
-
-
85035813065
-
Single-cell transcriptomic analysis of primary and metastatic tumor ecosystems in head and neck cancer
-
COI: 1:CAS:528:DC%2BC2sXhvFWms7nE, PID: 29198524
-
Puram, S. V. et al. Single-cell transcriptomic analysis of primary and metastatic tumor ecosystems in head and neck cancer. Cell 171, 1611–1624 (2017).
-
(2017)
Cell
, vol.171
, pp. 1611-1624
-
-
Puram, S.V.1
-
117
-
-
85044604944
-
Comprehensive identification and spatial mapping of habenular neuronal types using single-cell RNA-Seq
-
COI: 1:CAS:528:DC%2BC1cXlvVOhtbc%3D, PID: 6042852
-
Pandey, S., Shekhar, K., Regev, A. & Schier, A. F. Comprehensive identification and spatial mapping of habenular neuronal types using single-cell RNA-Seq. Curr. Biol. 28, 1052–1065 (2018).
-
(2018)
Curr. Biol.
, vol.28
, pp. 1052-1065
-
-
Pandey, S.1
Shekhar, K.2
Regev, A.3
Schier, A.F.4
-
118
-
-
85042789715
-
Highly parallel direct RNA sequencing on an array of nanopores
-
COI: 1:CAS:528:DC%2BC1cXovVCitg%3D%3D, PID: 29334379
-
Garalde, D. R. et al. Highly parallel direct RNA sequencing on an array of nanopores. Nat. Methods 15, 201–206 (2018).
-
(2018)
Nat. Methods
, vol.15
, pp. 201-206
-
-
Garalde, D.R.1
-
119
-
-
85013157844
-
Mapping DNA methylation with high-throughput nanopore sequencing
-
COI: 1:CAS:528:DC%2BC2sXis1yltr8%3D, PID: 28218897
-
Rand, A. C. et al. Mapping DNA methylation with high-throughput nanopore sequencing. Nat. Methods 14, 411–413 (2017).
-
(2017)
Nat. Methods
, vol.14
, pp. 411-413
-
-
Rand, A.C.1
-
120
-
-
85061976141
-
Nanopore native RNA sequencing of a human poly(A) transcriptome
-
Preprint at
-
Workman, R. E. et al. Nanopore native RNA sequencing of a human poly(A) transcriptome. Preprint at bioRxiv. 10.1101/459529 (2018).
-
(2018)
bioRxiv
-
-
Workman, R.E.1
|