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We used a uniform pipeline for the analysis of raw RNA-seq data in order to reduce the amount of variation. Our analysis revealed a consensus set of 498 pluripotency-associated genes and 432 genes as potential pluripotent cell differentiation markers. Furthermore, we predicted 32 genes as "pluripotency critical genes". These pluripotency critical genes formed a tightly bound co-expression network with small-world architecture. Gene ontology (GO) and pathway enrichment analysis, StemChecker and literature survey confirmed the involvement