Cited by 768Single-cell and spatial transcriptomicsHematopoietic Stem Cell TransplantationGene Regulatory Network Analysis

A single-cell resolution map of mouse hematopoietic stem and progenitor cell differentiation

Open access
Nestorowa, Sonia, Hamey, Fiona K., Pijuan Sala, Blanca, Diamanti, Evangelia, Shepherd, Mairi, Laurenti, Elisa, Wilson, Nicola K., Kent, David G. +1 more·2016·Blood

Abstract

Key Points: An expression map of HSPC differentiation from single-cell RNA sequencing of HSPCs provides insights into blood stem cell differentiation. A user-friendly Web resource provides access to single-cell gene expression profiles for the wider research community.

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Crossref · 10.1182/blood-2016-05-716480

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  • Recent scSeq state maps, barcode-based clonal studies, and single-cell culture work indicate that traditional intermediate cell types are internally heterogeneous in state and fate potential, with HSPCs on a continuum rather than a stepwise hierarchy.

    “But recent state maps from scSeq (9), as well as clonal studies using barcodes (10) and single cell culture (11), suggest that the traditional intermediate cell types are internally heterogeneous in state and fate potential, with HSPCs lying along a continuum of states rather than a stepwise hierarchy.”
  • scRNA-seq profiling of the mammalian hematopoietic system typically produces a largely continuous distribution of cells from the earliest HSCs through the characteristic hematopoietic lineages.

    “When computationally reconstructed, single-cell RNA sequencing (scRNA-seq) profiling of the mammalian hematopoietic system typically produces a largely continuous distribution of cells from the earliest HSCs through the characteristic hematopoietic lineages (Nestorowa et al., 2016; Olsson et al., 2016; Paul et al., 2015; Pellin et al., 2019; Tusi et al., 2018; Weinreb et al., 2020).”

    From Unraveling Hematopoiesis through the Lens of Genomics (2020) · cites this paper as Nestorowa et al., 2016

  • Deep sequencing and cell tracking have revealed hematopoiesis to be more continuous and less discrete and punctuated than originally envisioned.

    “As part of the genomics revolution, increasingly accurate deep sequencing and novel methods of cell tracking have revealed hematopoiesis to be more of a continuous and less of a discrete and punctuated process than originally envisioned.”

    From Unraveling Hematopoiesis through the Lens of Genomics (2020) · cites this paper as Nestorowa et al., 2016

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Authors
Nestorowa, S., Hamey, F. K., Pijuan Sala, B., Diamanti, E., Shepherd, M., Laurenti, E., Wilson, N. K., Kent, D. G., & Göttgens, B.
Affiliations
  • Wellcome/MRC Cambridge Stem Cell Institute (GB)
  • Department of Haematology and Wellcome Trust-Medical Research Council Cambridge Stem Cell Institute, University of Cambridge, Cambridge, United Kingdom
Venue
Blood
Published
2016-08-25
Volume
128
Issue
8
Pages
e20-e31
ISSN
  • 0006-4971 (ISSN-L)
  • 1528-0020
OpenAlex
W2465917013
Cited by
768
References
55
Citations by year
2026: 46 · 2025: 87 · 2024: 81 · 2023: 89 · 2022: 99 · 2021: 102 · 2020: 104 · 2019: 64 · 2018: 60 · 2017: 31 · 2016: 3 · 2013: 1
FWCI
27.36
Type
journal article
Language
en
Open access
Locations
  • Blood (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
  • Apollo (University of Cambridge) (acceptedVersion, cc-by)
  • Apollo
Funders
  • Wellcome Trust (107630/Z/15/Z, 097922/Z/11/Z)
  • Cancer Research UK (12765)
  • National Institute for Health and Care Research
  • Directorate for Biological Sciences
  • Medical Research Council (MR/M008975/1, MC_PC_12009)
  • Biotechnology and Biological Sciences Research Council (BB/I00050X/1, 1800757)
  • Cambridge Institute for Medical Research, University of Cambridge
  • NIHR Cambridge Biomedical Research Centre
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
  • Health Sciences › Medicine › Hematology › Hematopoietic Stem Cell Transplantation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene Regulatory Network Analysis
Keywords
hematopoietic stem and progenitor cells, single-cell transcriptomics, differentiation trajectories, lymphoid differentiation, erythroid differentiation, cell cycle genes, oxidative phosphorylation, stem cell maintenance, mice
MeSH terms
Animals, Cell Cycle, Cell Differentiation, Female, Gene Expression Regulation, Hematopoietic Stem Cells, Mice, Inbred C57BL, Phenotype, RNA, Messenger, Transcription, Genetic, Biomarkers, Gene Expression Profiling, Single-Cell Analysis

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