Evidence map›Paper›PMID 23708252›Full record

ArticleNature immunology2013

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

Elisa Laurenti, Sergei Doulatov, Sasan Zandi, Ian Plumb, Jing Chen, Craig April, Jian-Bing Fan, John E Dick

Abstract read
In one paragraph

Article in Nature immunology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 148 papers.

0numbers the graph read from it
0cells of the map it votes in
148citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

148 citing papers in PubMed.

  1. Trial
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Article
  7. Modeling human B cell development with pluripotent stem cells.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Hematopoietic Stem Cell Hierarchies as Novel Biomarkers of Drug Response in Myelodysplastic Syndromes and Acute Myeloid Leukemia.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

88 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Elisa LaurentiCampbell Family Institute for Cancer Research, Princess Margaret Cancer Centre, University Health Network, Toronto, Ontario, Canada.
Sergei Doulatov
Sasan Zandi
Ian Plumb
Jing Chen
Craig April
Jian-Bing Fan
John E Dick

Funding

CIHR 89932-2
6 · The paper itself

Abstract

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. Elements of stem, lymphoid and myeloid programs were retained in multilymphoid progenitors (MLPs), which reflected a hybrid transcriptional state. By functional single cell analysis, we found that the transcription factors Bcl-11A, Sox4 and TEAD1 (TEF1) governed transcriptional networks in MLPs, which led to B cell specification. Overall, we found that integrated transcriptome approaches can be used to identify previously unknown regulators of multipotency and show additional complexity in lymphoid commitment.

Indexed as

Gene Regulatory NetworksB-LymphocytesCell DifferentiationCell LineageComputational BiologyGene Expression ProfilingHematopoiesisHematopoietic Stem CellsHumansRNA, MessengerTranscription FactorsRNA, MessengerTranscription Factors

Identifiers

PMID23708252
PMCPMC4961471

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.