Polycomb contraction differentially regulates terminal human hematopoietic differentiation programs
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE159897 | GEO | 2021/10/31
REPOSITORIES: GEO
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BioModels Database:
An enhanced, curated and annotated resource for published
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To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
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This model is hosted on
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To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
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Sciences of the United States of America
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Adult blood contains a mixture of mature cell types, each
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(HSCs) have been functionally shown to generate all mature cell
types for the lifetime of the organism. Differentiation of HSCs
toward alternative lineages must be balanced at the population
level by the fate decisions made by individual cells.
Transcription factors play a key role in regulating these
decisions and operate within organized regulatory programs that
can be modeled as transcriptional regulatory networks. As
dysregulation of single HSC fate decisions is linked to fatal
malignancies such as leukemia, it is important to understand
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Here we developed and applied a network inference method,
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single-cell snapshot expression data based on expression
profiles of 48 genes in 2,167 blood stem and progenitor cells.
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network models that recapitulated differentiation of HSCs into
progenitor cell types, focusing on trajectories toward
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translocated to, 3 homolog (Cbfa2t3h) by the transcription
factor Gata2. Our approach confirms known aspects of
hematopoiesis, provides hypotheses about regulation of HSC
differentiation, and is widely applicable to other hierarchical
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This model is hosted on
BioModels Database
and identified by:
MODEL1610060001.
To cite BioModels Database, please use:
BioModels Database:
An enhanced, curated and annotated resource for published
quantitative kinetic models.
To the extent possible under law, all copyright and related or
neighbouring rights to this encoded model have been dedicated to
the public domain worldwide. Please refer to
CC0
Public Domain Dedication for more information.
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