Single-cell RNA-sequencing uncovers transcriptional states and fate decisions in haematopoiesis
Emmanouil I. Athanasiadis,
Jan G. Botthof,
Helena Andres,
Lauren Ferreira,
Pietro Lio and
Ana Cvejic ()
Additional contact information
Emmanouil I. Athanasiadis: University of Cambridge
Jan G. Botthof: University of Cambridge
Helena Andres: University of Cambridge
Lauren Ferreira: University of Cambridge
Pietro Lio: University of Cambridge
Ana Cvejic: University of Cambridge
Nature Communications, 2017, vol. 8, issue 1, 1-11
Abstract:
Abstract The success of marker-based approaches for dissecting haematopoiesis in mouse and human is reliant on the presence of well-defined cell surface markers specific for diverse progenitor populations. An inherent problem with this approach is that the presence of specific cell surface markers does not directly reflect the transcriptional state of a cell. Here, we used a marker-free approach to computationally reconstruct the blood lineage tree in zebrafish and order cells along their differentiation trajectory, based on their global transcriptional differences. Within the population of transcriptionally similar stem and progenitor cells, our analysis reveals considerable cell-to-cell differences in their probability to transition to another committed state. Once fate decision is executed, the suppression of transcription of ribosomal genes and upregulation of lineage-specific factors coordinately controls lineage differentiation. Evolutionary analysis further demonstrates that this haematopoietic programme is highly conserved between zebrafish and higher vertebrates.
Date: 2017
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/s41467-017-02305-6 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:8:y:2017:i:1:d:10.1038_s41467-017-02305-6
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/s41467-017-02305-6
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().