Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

0

The transcriptional architecture of early human hematopoiesis identifies multilevel control of lymphoid commitment.


ABSTRACT: Here we tracked transcriptome changes over ten human hematopoietic stem and early progenitor populations, defining the transcriptional dynamics underlying the first steps of commitment. Most of the transcriptional programs observed extended beyond lineage boundaries. In particular, multi-lymphoid progenitors (MLPs) presented a hybrid transcriptional state with elements of lymphoid and myeloid programs, but also stem cell characteristics. Total RNA was obtained from flow-sorted populations of human cord blood based on the cell surface expression of CD34, CD38, CD45RA, Thy1, and CD49f, CD10, CD7, CD19 and CD1a.

ORGANISM(S): Homo sapiens

SUBMITTER: Elisa Laurenti 

PROVIDER: E-GEOD-42414 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

altmetric image

Publications

The transcriptional architecture of early human hematopoiesis identifies multilevel control of lymphoid commitment.

Laurenti Elisa E   Doulatov Sergei S   Zandi Sasan S   Plumb Ian I   Chen Jing J   April Craig C   Fan Jian-Bing JB   Dick John E JE  

Nature immunology 20130526 7


Understanding how differentiation programs originate from the gene-expression 'landscape' of hematopoietic stem cells (HSCs) is crucial for the development of new clinical therapies. We mapped the transcriptional dynamics underlying the first steps of commitment by tracking transcriptome changes in human HSCs and eight early progenitor populations. We found that transcriptional programs were extensively shared, extended across lineage-potential boundaries and were not strictly lineage affiliated  ...[more]

Similar Datasets

2013-12-01 | E-GEOD-45486 | biostudies-arrayexpress
2015-02-20 | E-GEOD-58299 | biostudies-arrayexpress
2011-07-31 | E-GEOD-29105 | biostudies-arrayexpress
2018-09-14 | GSE104995 | GEO
2018-09-14 | GSE115639 | GEO
2021-05-05 | GSE151129 | GEO
2021-07-01 | GSE154931 | GEO
2021-07-01 | GSE154588 | GEO
2011-05-25 | E-GEOD-29522 | biostudies-arrayexpress
2021-08-06 | PXD022095 | Pride