Evidence map›Paper›PMID 33441024›Full record

ReviewArteriosclerosis, thrombosis, and vascular biology2021

Single-Cell RNA Sequencing to Disentangle the Blood System.

Jean Acosta, Daniel Ssozi, Peter van Galen

Abstract readReview
In one paragraph

Review in Arteriosclerosis, thrombosis, and vascular biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Quo Vadis? Immunodynamics of Myeloid Cells after Myocardial Infarction.International journal of molecular sciences · 2022
    Review
  5. Article
  6. Platelet Heterogeneity in Myeloproliferative Neoplasms.Arteriosclerosis, thrombosis, and vascular biology · 2021
    Review
  7. Review
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

3 authors.

Jean AcostaDivision of Hematology, Brigham and Women's Hospital, Boston, MA. Department of Medicine, Harvard Medical School, Boston, MA. Broad Institute of MIT and Harvard, Cambridge, MA.
Daniel SsoziDivision of Hematology, Brigham and Women's Hospital, Boston, MA. Department of Medicine, Harvard Medical School, Boston, MA. Broad Institute of MIT and Harvard, Cambridge, MA.
Peter van GalenDivision of Hematology, Brigham and Women's Hospital, Boston, MA. Department of Medicine, Harvard Medical School, Boston, MA. Broad Institute of MIT and Harvard, Cambridge, MA.

Funding

The role of epigenetic plasticity in acute myeloid leukemia cell persistenceR00CA218832 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI VAN GALEN, PETER · 2019 to 2021
$747k
NCI NIH HHS R00 CA218832
6 · The paper itself

Abstract

The blood system is often represented as a tree-like structure with stem cells that give rise to mature blood cell types through a series of demarcated steps. Although this representation has served as a model of hierarchical tissue organization for decades, single-cell technologies are shedding new light on the abundance of cell type intermediates and the molecular mechanisms that ensure balanced replenishment of differentiated cells. In this Brief Review, we exemplify new insights into blood cell differentiation generated by single-cell RNA sequencing, summarize considerations for the application of this technology, and highlight innovations that are leading the way to understand hematopoiesis at the resolution of single cells. Graphic Abstract: A graphic abstract is available for this article.

Indexed as

AnimalsComputational BiologyHematopoiesisHematopoietic Stem CellsHumansRNA-SeqSingle-Cell Analysisblood cellscomputational biologyhematopoiesisstem cellstechnology

Identifiers

PMID33441024
PMCPMC7901535

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.