Evidence map›Paper›PMID 34926276›Full record

ReviewFrontiers in oncology2021

Why Single-Cell Sequencing Has Promise in MDS.

Xuan Zhang, H Leighton Grimes

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Review
  3. Review
  4. 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

2 authors at 2 institutions in 1 country.

Xuan ZhangDivision of Immunobiology and Center for Systems Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
H Leighton GrimesDivision of Immunobiology and Center for Systems Immunology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, United States.
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati · US

Funding

A generalizable framework for linking single-cell genomic states with cell fate outcomes in hematopoiesisRC2DK122376 · NIDDK · CINCINNATI CHILDRENS HOSP MED CTR · PI GRIMES, H. LEIGHTON · 2020 to 2024
$5.3M
Modeling myelodysplasiaR01CA253981 · NCI · CINCINNATI CHILDRENS HOSP MED CTR · PI GRIMES, H. LEIGHTON, HALENE, STEPHANIE · 2021 to 2025
$2.9M
Defining human hematopoietic cells via transcriptomes and methods to isolate themR21HL150678 · NHLBI · CINCINNATI CHILDRENS HOSP MED CTR · PI GRIMES, H. LEIGHTON · 2020 to 2021
$465k
NCI NIH HHS R01 CA253981NHLBI NIH HHS R21 HL150678NIDDK NIH HHS RC2 DK122376
6 · The paper itself

Abstract

Myelodysplastic syndromes (MDS) are a heterogeneous group of diseases characterized by ineffective hematopoiesis. The risk of MDS is associated with aging and the accumulation of somatic mutations in hematopoietic stem cells and progenitors (HSPC). While advances in DNA sequencing in the past decade unveiled clonal selection driven by mutations in MDS, it is unclear at which stage the HSPCs are trapped or what prevents mature cells output. Single-cell-sequencing techniques in recent years have revolutionized our understanding of normal hematopoiesis by identifying the transitional cell states between classical hematopoietic hierarchy stages, and most importantly the biological activities behind cell differentiation and lineage commitment. Emerging studies have adapted these powerful tools to investigate normal hematopoiesis as well as the clonal heterogeneity in myeloid malignancies and provide a progressive description of disease pathogenesis. This review summarizes the potential of growing single-cell-sequencing techniques, the evolving efforts to elucidate hematopoiesis in physiological conditions and MDS at single-cell resolution, and discuss how they may fill the gaps in our current understanding of MDS biology.

Indexed as

hematopoiesismyelodysplastic syndrome (MDS)myeloid malignanciessingle cell multi-omics profilingsingle-cell sequencing (SCS)

Identifiers

PMID34926276
PMCPMC8675176
OpenAlexW4200216326

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.