RNA-seq from Lara-Astiaso et al. 2014 This composite track displays RNA-seq signal data from mouse hematopoietic cell types generated by Lara-Astiaso et al. (2014). The libraries were prepared as single-read, unstranded RNA-seq. These data provide a view of transcriptional activity across multiple stages of blood cell differentiation from the hematopoietic stem and progenitor cell compartment through committed progenitors and terminally differentiated blood cell types.
Cell types represented include LSK (Lin-Sca1+Kit+ cells containing hematopoietic stem and progenitor cells), CMP (common myeloid progenitor), MEP (megakaryocyte-erythrocyte progenitor), CLP (common lymphoid progenitor), B cells, CD4+ T cells, CD8+ T cells, and NK (natural killer) cells.
In "full" mode, the RNA-seq signal is displayed as a continuous variable along the chromosomes. The track names give an abbreviation for the blood cell type.
RNA-seq data were generated as described in Lara-Astiaso et al. (2014), which profiled transcriptional landscapes across mouse hematopoietic cell types to study chromatin state dynamics during blood formation. The data were downloaded, processed, and normalized through the VISION data pipeline.
Belinda Giardine generated the tracks displayed and developed the track hub.
Lara-Astiaso D, Weiner A, Lorenzo-Vivas E, Zaretsky I, Jaitin DA, David E, Keren-Shaul H, Mildner A, Winter D, Jung S, Friedman N, Amit I. Immunogenetics. Chromatin state dynamics during blood formation. Science. 2014 Aug 22;345(6199):943-9. doi: 10.1126/science.1256271. PMID: 25103404; PMCID: PMC4412442.
Xiang G, He X, Giardine BM, Isaac KJ, Taylor DJ, McCoy RC, Jansen C, Keller CA, Wixom AQ, Cockburn A, Miller A, Qi Q, He Y, Li Y, Lichtenberg J, Heuston EF, Anderson SM, Luan J, Vermunt MW, Yue F, Sauria MEG, Schatz MC, Taylor J, Göttgens B, Hughes JR, Higgs DR, Weiss MJ, Cheng Y, Blobel GA, Bodine DM, Zhang Y, Li Q, Mahony S, Hardison RC. Interspecies regulatory landscapes and elements revealed by novel joint systematic integration of human and mouse blood cell epigenomes. Genome Res. 2024 Aug 20;34(7):1089-1105. PMID: 38951027; PMCID: PMC11368181.
These data are available for use without restrictions.
Ross Hardison rch8@psu.edu