Evidence map›Paper›PMID 32647945›Full record

ReviewCurrent cardiology reports2020

Transcriptional Profiling of Single Cardiomyocytes in Health and Disease.

Bingying Zhou, Li Wang

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current cardiology reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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 1 institution in 1 country.

Bingying ZhouState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 North Lishi Road, Beijing, 100037, People's Republic of China.
Li WangState Key Laboratory of Cardiovascular Disease, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, 167 North Lishi Road, Beijing, 100037, People's Republic of China. wangl@pumc.edu.cn.ORCID 0000-0002-5570-1336
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewCardiomyocytes are the chief cell type in the heart, and are central to the pathogenesis of many cardiac diseases. Increasing recognition of its cellular, molecular, and functional heterogeneity prompted us to review the latest advancements in cardiac health and disease at single-cell resolution. RECENT

findingsSingle-cell RNA profiling of cardiac lineage commitment events uncovered immense heterogeneity amongst ostensibly homogeneous cell populations. Classic cardiac transcription factors and new regulatory genes exhibit cell subtype-specific and temporally controlled expression patterns that serve the phenotypic changes in development, disease progression, and regeneration. Dissection of dynamically changing cell-cell communications and cardiac cell plasticity offers new opportunities in disease intervention and cardiac repair. Finally, updates in research models, platforms, and pipelines are continuously increasing the efficiency and reliability in data generation and interpretation. Transcriptional profiling of cardiac lineage cells, especially cardiomyocytes, has tremendously enriched our knowledge of the cellular milieu and the transcriptional network in the heart. Implementing technical standards and interrogating underexplored research areas will further our understanding of this organ and increase the likelihood of finding tractable therapeutic targets.

Indexed as

Myocytes, CardiacRegenerationCell DifferentiationHumansReproducibility of ResultsCardiac differentiationCardiac hypertrophyCardiac progenitor cellCardiomyocyteMyocardial infarctionSingle-cell RNA sequencing

Identifiers

PMID32647945
OpenAlexW3041654509

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.