Evidence map›Paper›PMID 20702766›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

Comprehensive microRNA expression profiling of the hematopoietic hierarchy.

O I Petriv, F Kuchenbauer, A D Delaney, V Lecault, A White, D Kent, L Marmolejo, M Heuser, T Berg, M Copley and 16 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 91 papers.

0numbers the graph read from it
0cells of the map it votes in
91citing papers in PubMed
7.2field-weighted citation impact, top 3% of its field
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

91 citing papers in PubMed, 168 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Overview of the Different Classes of Small RNAs During B-Cell Development.Methods in molecular biology (Clifton, N.J.) · 2025
    Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Epigenetic Alterations in Inborn Errors of Immunity.Journal of clinical medicine · 2022
    Review
  19. Article
  20. A regulatory network of microRNAs confers lineage commitment during early developmental trajectories of B and T lymphocytes.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article

31 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

26 authors at 4 institutions in 4 countries.

O I PetrivCenter for High-Throughput Biology, Department of Physics and Astronomy, and Michael Smith Laboratories, University of British Columbia, Vancouver, BC, Canada V6T 1Z4.
F Kuchenbauer
A D Delaney
V Lecault
A White
D Kent
L Marmolejo
M Heuser
T Berg
M Copley
J Ruschmann
S Sekulovic
C Benz
E Kuroda
V Ho
F Antignano
T Halim
V Giambra
G Krystal
C J F Takei
A P Weng
J Piret
C Eaves
M A Marra
R K Humphries
C L Hansen
BC Cancer Agency · CAAstronomy and Space · AUHigh Throughput Biology (United States) · USUniversity of British Columbia · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The hematopoietic system produces a large number of highly specialized cell types that are derived through a hierarchical differentiation process from a common stem cell population. miRNAs are critical players in orchestrating this differentiation. Here, we report the development and application of a high-throughput microfluidic real-time quantitative PCR (RT-qPCR) approach for generating global miRNA profiles for 27 phenotypically distinct cell populations isolated from normal adult mouse hematopoietic tissues. A total of 80,000 RT-qPCR assays were used to map the landscape of miRNA expression across the hematopoietic hierarchy, including rare progenitor and stem cell populations. We show that miRNA profiles allow for the direct inference of cell lineage relations and functional similarity. Our analysis reveals a close relatedness of the miRNA expression patterns in multipotent progenitors and stem cells, followed by a major reprogramming upon restriction of differentiation potential to a single lineage. The analysis of miRNA expression in single hematopoietic cells further demonstrates that miRNA expression is very tightly regulated within highly purified populations, underscoring the potential of single-cell miRNA profiling for assessing compartment heterogeneity.

Indexed as

Gene Expression ProfilingAnimalsBone Marrow CellsCell LineageCluster AnalysisFemaleFlow CytometryHematopoietic Stem CellsMaleMiceMice, Inbred C57BLMicroRNAsOligonucleotide Array Sequence AnalysisPluripotent Stem CellsReverse Transcriptase Polymerase Chain ReactionMicroRNAs

Identifiers

PMID20702766
PMCPMC2932570
OpenAlexW2017971576

What OpenQuestion holds

Textmetadata
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.