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Reference Long-read Isoform-aware Transcriptomes of Activated Human CD4 T cells (PacBio Iso-Seq, matched to Illumina RNA-Seq Data)

GSE229971 Homo sapiens Expression profiling by high throughput sequencing 4 samples Submitted 2025/02/12 Platform GPL28352
Summary
Long-read sequencing technologies such as Iso-Seq (PacBio Inc.) generate highly accurate sequences of full-length mRNA transcript isoforms. Long-read transcriptomics may be especially useful in the context of T cell functional plasticity as it relates to human health and disease. However, To our knowledge, no long-read transcriptome reference exists for activated human CD4 T cells. To begin to fill this gap, we purified CD4 T cells from the peripheral blood of a healthy female donor and activated these cells with anti-CD3/CD28 beads to generate populations of early activated (4hr), mid-activated (16hr), blasting (48hr) and proliferating (120hr) CD4 T cells. From each of these time points, we obtained high-quality RNA (RIN>9) for PacBio Iso-Seq analysis and parallel RNA-Seq analysis, which we hope will serve as a reference for future transcriptomic studies of these populations. UCSC genome browser tracks for these samples can be accessed at: http://genome.ucsc.edu/cgi-bin/hgHubConnect?hgHub_do_redirect=on&hgHubConnect.remakeTrackHub=on&hgHub_do_firstDb=on&position=chr1:206,903,317-206,921,941&hubUrl=http://162.215.210.70/~tracks/Mitchell_IsoSeq_Stim/hub.txt
Published in
Full-length mRNA sequencing resolves novel variation in 5' UTR length for genes expressed during human CD4 T-cell activation
Woolley CR, Chariker JH, Rouchka EC et al. · Immunogenetics 2025 · PMID 39904916 · doi:10.1007/s00251-025-01371-1
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Direct links to NCBI, no account and no request form: the whole study as GSE229971_RAW.tar, processed values as the series matrix, the supplementary file directory, and per-sample supplementary files for any of the 4 samples. Raw sequencing reads are also available from ENA.

Also filed as BioProject PRJNA956911 and SRA study SRP433203. Searching any of these in the dataset finder brings you back here.

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