Evidence mapPaperPMID 39159065Full record

ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

From Cell to Gene: Deciphering the Mechanism of Heart Failure With Single-Cell Sequencing.

Dan Zhang, Qiang Wen, Rui Zhang, Kun Kou, Miao Lin, Shiyu Zhang, Jun Yang, Hangchuan Shi, Yan Yang, Xiaoqiu Tan and 2 more

Abstract readReview
In one paragraph

Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
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  12. From Cell to Gene: Deciphering the Mechanism of Heart Failure With Single-Cell Sequencing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Review
  13. 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

12 authors.

Dan ZhangKey Laboratory of Medical Electrophysiology of Ministry of Education, Institute of Cardiovascular Medicine, Department of Cardiology of the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, 646000, China.
Qiang WenDepartment of Cardiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Rd, Wuhan, Hubei, 430022, China.
Rui ZhangKey Laboratory of Medical Electrophysiology of Ministry of Education, Institute of Cardiovascular Medicine, Department of Cardiology of the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, 646000, China.
Kun KouKey Laboratory of Medical Electrophysiology of Ministry of Education, Institute of Cardiovascular Medicine, Department of Cardiology of the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, 646000, China.
Miao LinKey Laboratory of Medical Electrophysiology of Ministry of Education, Institute of Cardiovascular Medicine, Department of Cardiology of the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, 646000, China.
Shiyu ZhangKey Laboratory of Medical Electrophysiology of Ministry of Education, Institute of Cardiovascular Medicine, Department of Cardiology of the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, 646000, China.
Jun YangKey Laboratory of Medical Electrophysiology of Ministry of Education, Institute of Cardiovascular Medicine, Department of Cardiology of the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, 646000, China.
Hangchuan ShiDepartment of Clinical & Translational Research, University of Rochester Medical Center, 265 Crittenden Blvd, Rochester, NY, 14642, USA.
Yan YangKey Laboratory of Medical Electrophysiology of Ministry of Education, Institute of Cardiovascular Medicine, Department of Cardiology of the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, 646000, China.
Xiaoqiu TanKey Laboratory of Medical Electrophysiology of Ministry of Education, Institute of Cardiovascular Medicine, Department of Cardiology of the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, 646000, China.
Shigang YinLuzhou Key Laboratory of Nervous system disease and Brain Function, Southwest Medical University, Luzhou, Sichuan, 646000, China.
Xianhong OuKey Laboratory of Medical Electrophysiology of Ministry of Education, Institute of Cardiovascular Medicine, Department of Cardiology of the Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan, 646000, China.ORCID 0000-0002-3143-697X

Funding

Central Government Guides Local Science and Technology Development Fund Project 2023ZYD0093Grants from Southwest Medical UniversityGuangxi Normal University CMEMR2017-B08Joint Funds of Southwest Medical University and Luzhou Government 2021LZXNYD-Z05Luzhou Science and Technology Bureau 2023RCX174National Natural Science Foundation of China 81700308National Natural Science Foundation of China 81900300National Natural Science Foundation of China 82301658Sichuan Province Science and Technology Support Program 2022YFS0607Sichuan Province Science and Technology Support Program 2022YFS0615Sichuan Province Science and Technology Support Program 221YYJC1944
6 · The paper itself

Abstract

Heart failure (HF) is a prevalent cardiovascular disease with significant morbidity and mortality rates worldwide. Due to the intricate structure of the heart, diverse cell types, and the complex pathogenesis of HF, further in-depth investigation into the underlying mechanisms  is required. The elucidation of the heterogeneity of cardiomyocytes and the intercellular communication network is particularly important. Traditional high-throughput sequencing methods provide an average measure of gene expression, failing to capture the "heterogeneity" between cells and impacting the accuracy of gene function knowledge. In contrast, single-cell sequencing techniques allow for the amplification of the entire genome or transcriptome at the individual cell level, facilitating the examination of gene structure and expression with unparalleled precision. This approach offers valuable insights into disease mechanisms, enabling the identification of changes in cellular components and gene expressions during hypertrophy associated with HF. Moreover, it reveals distinct cell populations and their unique roles in the HF microenvironment, providing a comprehensive understanding of the cellular landscape that underpins HF pathogenesis. This review focuses on the insights provided by single-cell sequencing techniques into the mechanisms underlying HF and discusses the challenges encountered in current cardiovascular research.

Indexed as

Heart FailureSingle-Cell AnalysisAnimalsHigh-Throughput Nucleotide SequencingHumansMyocytes, CardiacTranscriptomeapplicationchallengingheart failuremechanismsingle‐cell sequencing

Identifiers

PMID39159065
PMCPMC11497092

What Socratic 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 Socratic graph.