Cell type specific novel lincRNAs and circRNAs in the BLUEPRINT haematopoietic transcriptomes atlas.
Grassi, L.; Izuogu, O. G.; Jeorge, N. A.; Seyres, D.; Bustamante, M.; Burden, F.; Farrow, S.; Farahi, N.; Martin, F. J.; Frankish, A.; Mudge, J. M.; Kostadima, M.; Petersen, R.; Lambourne, J. J.; Rowlston, S.; Martin-Rendon, E.; Clarke, L.; Downes, K.; Estivill, X.; Flicek, P.; Martens, J. H.; Yaspo, M.-L. H.; Stunnenberg, H.; Ouwehand, W. H.; Passetti, F.; Turro, E.; Frontini, M.
Show abstract
Transcriptional profiling of hematopoietic cell subpopulations has helped characterize the developmental stages of the hematopoietic system and the molecular basis of malignant and non-malignant blood diseases for the past three decades. The introduction of high-throughput RNA sequencing has increased knowledge of the full repertoire of RNA molecules in hematopoietic cells of different types, without relying on prior gene annotation. Here, we introduce the analysis of the BLUEPRINT consortium gene expression data for mature hematopoietic cells, comprising 90 total RNA and 32 small RNA sequencing experiments, from 27 different cell types. We used these data to describe the transcriptional profile of each we used guided transcriptome assembly to extend the annotation of the transcribed genome, which led to the identification of hundreds of novel non-coding RNA genes, which display a high degree of cell type specificity. We also characterized the expression of circular RNAs and found that these are also highly cell type specific. This resource refines the active transcriptional landscape of mature hematopoietic cells, highlights abundant genes and transcriptional isoforms for each cell type, and provides valuable data and visualisation tools for the scientific community working on hematological development and diseases.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
Similar papers in this journal
- Comprehensive characterization of single cell full-length isoforms in human and mouse with long-read sequencing 96%
- Single cell eQTL analysis identifies cell type-specific genetic control of gene expression in fibroblasts and reprogrammed induced pluripotent stem cells 95%
- MINTIE: identifying novel structural and splice variants in transcriptomes using RNA-seq data 95%
Similar papers in this journal
Similar papers in this journal
- Integrative genome-scale analyses reveal post-transcriptional signatures of early human smallintestinal development in a directed differentiation organoid model 93%
- Neuron types in the developing mouse CNS can be divided into several epigenomic and transcriptomic classes 93%
- Epigenetic control of metabolic identity across cell types 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.