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Table 1 Single-cell RNA-seq expression studies used for meta-analysis, sorted by GEO ID (GEO ID = Gene Expression Omnibus Identifier). Experiments were defined by unique GEO ID

From: Exploiting single-cell expression to characterize co-expression replicability

First author

Year

Journal

GEO ID

Samples

Cell types

Deng

2014

Science

GSE45719

266

9

Streets

2014

PNAS

GSE47835

56

1

Treutlein

2014

Nature

GSE52583

184

6

Jaitin

2014

Science

GSE54006

12

1

Kim

2015

Cell Stem Cell

GSE55291

56

3

Biase

2014

Genome Research

GSE57249

40

1

Kowalczyk

2015

Genome Research

GSE59114

1933

12

Brunskill

2014

Development

GSE59127

86

1

Brunskill

2014

Development

GSE59129

49

1

Brunskill

2014

Development

GSE59130

57

1

Usoskin

2015

Nature Neuroscience

GSE59739

638

5

Sansom

2014

Genome Research

GSE60297

174

1

Zeisel

2015

Science

GSE60361

2975

7

Kumar

2014

Nature

GSE60749

415

4

Velten

2015

Molecular Systems Biology

GSE60768

100

3

Moignard

2015

Nature Biotechnology

GSE61470

15

1

Grun

2015

Nature

GSE62270

1154

12

Macosko

2015

Cell

GSE63472

8120

38

Li

2015

Cell Research

GSE63576

204

1

Lindeman

2015

Current Biology

GSE64960

67

1

Klein

2015

Cell

GSE65525

8649

6

Chen

2015

Developmental Cell

GSE66202

91

3

Du

2015

Thorax

GSE69761

148

1

Fuzik

2015

Nature Biotechnology

GSE70844

76

1

Shin

2015

Cell Stem Cell

GSE71485

167

2

Tasic

2015

Nature Neuroscience

GSE71585

1740

8

Burns

2015

Nature Communications

GSE71982

278

13

Gaublomme

2015

Cell

GSE74833

722

13

Kimmerling

2015

Nature Communications

GSE74923

178

2

Hanchate

2015

Science

GSE75413

84

4

Fan

2016

Nature Methods

GSE76005

65

1