ArticleScientific data2021
Short-read and long-read RNA sequencing of mouse hematopoietic stem cells at bulk and single-cell levels.
Article in Scientific data, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- The cortical microenvironment drives early immune organization and controls early osteoclastogenesis in bone healing.Nature communications · 2026Article
- Accurate profiling of single-cell alternative transcript start sites by correcting RNA degradation.Nature communications · 2026Article
- Advances in hematopoietic stem cells ex vivo expansion associated with bone marrow niche.Annals of hematology · 2024Review
- Short-read and long-read RNA sequencing of mouse hematopoietic stem cells at bulk and single-cell levels.Scientific data · 2021Article
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Authors and funding
10 authors at 1 institution in 1 country.
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No grant is acknowledged in the PubMed record.
Abstract
Hematopoietic stem cells (HSCs) lie at the top of the differentiation hierarchy. Although HSC and their immediate downstream, multipotent progenitors (MPP) have full multilineage differentiation capacity, only long-term (LT-) HSC has the capacity of long-term self-renewal. The heterogeneity within the HSC population is gradually acknowledged with the development of single-cell RNA sequencing and lineage tracing technologies. Transcriptional and post-transcriptional regulations play important roles in controlling the differentiation and self-renewal capacity within HSC population. Here we report a dataset comprising short- and long-read RNA sequencing for mouse long- and short-term HSC and MPP at bulk and single-cell levels. We demonstrate that integrating short- and long-read sequencing can facilitate the identification and quantification of known and unannotated isoforms. Thus, this dataset provides a groundwork for comprehensive and comparative studies on transcriptional diversity and heterogeneity within different HSC cell types.
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