Pathway enrichment analysis in microarray gene-expression data.

MM Matthew P. Murphy
LK Lauren S. Koepke
ML Michael T. Lopez
XT Xinming Tong
TA Thomas H. Ambrosi
GG Gunsagar S. Gulati
OM Owen Marecic
YW Yuting Wang
RR Ryan C. Ransom
MH Malachia Y. Hoover
HS Holly Steininger
LZ Liming Zhao
MW Marcin P. Walkiewicz
NQ Natalina Quarto
BL Benjamin Levi
DW Derrick C. Wan
IW Irving L. Weissman
SG Stuart B. Goodman
FY Fan Yang
ML Michael T. Longaker
CC Charles K. F. Chan
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Hypergeometric tests were performed using the clusterProfiler v3.16.0 package to calculate enrichment of Gene Ontology pathways (for example, cellular components, molecular functions and biological processes) in the microarray data. Genes significantly enriched or depleted in Ad/MF and P3 mSSCs compared with in adult mSSCs were defined on the basis of a log2(fold change) value of >1 or <−1 and adjusted P < 0.01 (Benjamini–Hochberg procedure). Pathways were selected using the ‘enrichGO’ function with P < 0.01 and adjusted P < 0.05.

Geneset enrichment analysis (GSEA) was performed using the Broad Institute’s online software with a gene list ordered by log2-fold enrichment in Ad/MF and P3 mSSCs compared with adult mSSCs. Only gene sets with a nominal P < 0.05 and false discovery rate < 0.25 were considered.

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