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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