Figure S1 . (B) Examples of increasing expression of astrocytic markers, S100β (top) and GFAP (bottom), tracked throughout the astrocyte differentiation and maturation process. (C) Proportion of S100β + , GFAP + , and TUBB3 + cells quantified from four cultures across three cell lines, at the mature stage of the astrocyte protocol (sample sizes represent fields of view per marker, 70 ±5.6 days at imaging). (D) Gene expression levels for astrocyte-specific markers in iPSC-astrocytes generated from the present study (iPSC_Hedegaard; n = 9 cultures, comprising three cultures from each of three cell lines, 96 ± 3.3 days). For comparison, transcript abundances of fetal and adult human cortical astrocytes (
Zhang et al., 2016 ) and previously published profiles of iPSC-derived astrocytes (
Lin et al., 2018 ,
Lischka et al., 2018 ,
Santos et al., 2017 ,
Tcw et al., 2017 ) are included. Gene expression levels are logarithm scaled counts per million (log(CPM +1 )). See also
Figure S2 . (E) Principal component analysis separated fetal and adult astrocytes from
Zhang et al. (2016) along the first component. Gene expression profiles from published iPSC-astrocytes datasets were projected onto the space created by the first two principal components (left). PC1 discriminates iPSC-astrocytes by dataset (right). " width="100%" height="100%">
Journal: Stem Cell Reports
Article Title: Pro-maturational Effects of Human iPSC-Derived Cortical Astrocytes upon iPSC-Derived Cortical Neurons
doi: 10.1016/j.stemcr.2020.05.003
Figure Lengend Snippet: Human Cortically Derived iPSC-Astrocytes Express Canonical Markers and Are Comparable with Other iPSC-Astrocytes (A) Schematic of the differentiation from iPSCs toward a common pool of PAX6 + cortical progenitor cells, which can then be driven toward generating either GFAP + astrocytes or MAP2 + cortical neurons. See also Figure S1 . (B) Examples of increasing expression of astrocytic markers, S100β (top) and GFAP (bottom), tracked throughout the astrocyte differentiation and maturation process. (C) Proportion of S100β + , GFAP + , and TUBB3 + cells quantified from four cultures across three cell lines, at the mature stage of the astrocyte protocol (sample sizes represent fields of view per marker, 70 ±5.6 days at imaging). (D) Gene expression levels for astrocyte-specific markers in iPSC-astrocytes generated from the present study (iPSC_Hedegaard; n = 9 cultures, comprising three cultures from each of three cell lines, 96 ± 3.3 days). For comparison, transcript abundances of fetal and adult human cortical astrocytes ( Zhang et al., 2016 ) and previously published profiles of iPSC-derived astrocytes ( Lin et al., 2018 , Lischka et al., 2018 , Santos et al., 2017 , Tcw et al., 2017 ) are included. Gene expression levels are logarithm scaled counts per million (log(CPM +1 )). See also Figure S2 . (E) Principal component analysis separated fetal and adult astrocytes from Zhang et al. (2016) along the first component. Gene expression profiles from published iPSC-astrocytes datasets were projected onto the space created by the first two principal components (left). PC1 discriminates iPSC-astrocytes by dataset (right).
Article Snippet: Human astrocytes were differentiated from cortical progenitors using the Astrocyte Differentiation and Maturation kits available from STEMCELL Technologies (nos.
Techniques: Derivative Assay, Expressing, Marker, Imaging, Gene Expression, Generated, Comparison
Zhang et al. (2016) and genes that were differentially expressed in the iPSC-astrocytes presented in this study (iPSC Hedegaard) or iPSC-astrocytes known to not promote neuronal maturation (iPSC Lischka). Overlapping gene sets that are larger than expected by chance are underlined and in bold (p < 0.05). (B and C) Overrepresented cellular components (B) and biological processes (C) among the set of 201 genes with higher expression in both primary adult astrocytes (compared with fetal) and iPSC Hedegaard astrocytes (compared with iPSC Lischka). Circle size indicates the number of genes annotated to each Gene Ontology (GO) term; color reflects the log10 transformed false discovery rate (FDR) and dashed line indicates a FDR of 0.05. " width="100%" height="100%">
Journal: Stem Cell Reports
Article Title: Pro-maturational Effects of Human iPSC-Derived Cortical Astrocytes upon iPSC-Derived Cortical Neurons
doi: 10.1016/j.stemcr.2020.05.003
Figure Lengend Snippet: Transcriptomic Features of iPSC-Astrocytes that Mediate Pro-maturational Effects upon Cortical Neurons (A) Venn diagram showing overlap between genes that are highly expressed in either fetal and adult human astrocytes, identified in Zhang et al. (2016) and genes that were differentially expressed in the iPSC-astrocytes presented in this study (iPSC Hedegaard) or iPSC-astrocytes known to not promote neuronal maturation (iPSC Lischka). Overlapping gene sets that are larger than expected by chance are underlined and in bold (p < 0.05). (B and C) Overrepresented cellular components (B) and biological processes (C) among the set of 201 genes with higher expression in both primary adult astrocytes (compared with fetal) and iPSC Hedegaard astrocytes (compared with iPSC Lischka). Circle size indicates the number of genes annotated to each Gene Ontology (GO) term; color reflects the log10 transformed false discovery rate (FDR) and dashed line indicates a FDR of 0.05.
Article Snippet: Human astrocytes were differentiated from cortical progenitors using the Astrocyte Differentiation and Maturation kits available from STEMCELL Technologies (nos.
Techniques: Expressing, Transformation Assay
