2013
DOI: 10.1038/ni.2590
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The transcriptional landscape of αβ T cell differentiation

Abstract: αβT cell differentiation from thymic precursors is a complex process, explored here with the breadth of ImmGen expression datasets, analyzing how differentiation of thymic precursors gives rise to transcriptomes. After surprisingly gradual changes though early T commitment, transit through the CD4+CD8+ stage involves a shutdown or rare breadth, and correlating tightly with MYC. MHC-driven selection promotes a large-scale transcriptional reactivation. We identify distinct signatures that mark cells destined for… Show more

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Cited by 267 publications
(332 citation statements)
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“…High motility is a consistent feature of SP thymocytes in the medulla (6,25,34,35) and mature T cells in lymph nodes (36), implying that increased motility reflects long-lasting changes in the cellular machinery that controls migration, rather than a short-term response to a chemokine gradient. Consistent with this notion, gene-expression studies of pre-and postselection DP thymocytes revealed induction of numerous genes that may play a role in regulating cell adhesion, metabolism, and the cytoskeleton (37)(38)(39).…”
Section: Discussionmentioning
confidence: 64%
“…High motility is a consistent feature of SP thymocytes in the medulla (6,25,34,35) and mature T cells in lymph nodes (36), implying that increased motility reflects long-lasting changes in the cellular machinery that controls migration, rather than a short-term response to a chemokine gradient. Consistent with this notion, gene-expression studies of pre-and postselection DP thymocytes revealed induction of numerous genes that may play a role in regulating cell adhesion, metabolism, and the cytoskeleton (37)(38)(39).…”
Section: Discussionmentioning
confidence: 64%
“…Transcriptional expression profiling of FACS-purified CD11b + Ly6G − Ly6C hi , Ly6C med , and Ly6C low cells isolated from the hind paw 24 h after the incisional wound, a time point of significant mechanical hypersensitivity, was carried out by microarray analysis to obtain mechanistic insight into their functional and activation states. A total of 8,169 transcripts remained after filtering out transcripts with low expression (39); the transcript with the highest variability among the three subsets of cells was Ly6C2 (σ = 2,318.2). The 50 most variable transcripts across these subsets were identified and ranked by average expression (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…The microarray data has been deposited in the Gene Expression Omnibus database under accession number GSE73667. Transcripts were filtered for mean expression values >100 in any one population (39) and sorted by variability across the three populations of cells. Heat maps were generated by using the GenePattern platform (Broad Institute).…”
Section: Methodsmentioning
confidence: 99%
“…Recently, a Tcf7-Lef1 coregulated cluster of genes was described by the Immunological Genome Consortium (41). We compared this Tcf7-Lef1 coregulated cluster with our proteomics data and identified 19 members in our data set (Fig.…”
Section: Expression Of the Transcription Factor Tcf7 In Tregsmentioning
confidence: 99%