Evidence map›Paper›PMID 39129179›Full record

ReviewInternational journal of stem cells2025

Applications of Single-Cell Omics Technologies for Induced Pluripotent Stem Cell-Based Cardiovascular Research.

Hyunjoon Kim, Sohee Choi, HyoJung Heo, Su Han Cho, Yuna Lee, Dohyup Kim, Kyung Oh Jung, Siyeon Rhee

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in International journal of stem cells, 2025. 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
–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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

8 authors.

Hyunjoon KimDepartment of Molecular and Cell Biology, University of California, Berkeley, CA, USA.ORCID https://orcid.org/0009-0000-8460-2209
Sohee ChoiK-BioX, Palo Alto, CA, USA.ORCID https://orcid.org/0009-0003-3599-5909
HyoJung HeoDepartment of Molecular and Cell Biology, University of California, Berkeley, CA, USA.ORCID https://orcid.org/0009-0000-8856-9821
Su Han ChoK-BioX, Palo Alto, CA, USA.ORCID https://orcid.org/0000-0001-5220-0352
Yuna LeeK-BioX, Palo Alto, CA, USA.ORCID https://orcid.org/0009-0000-0107-8641
Dohyup KimK-BioX, Palo Alto, CA, USA.ORCID https://orcid.org/0009-0001-5104-1334
Kyung Oh JungK-BioX, Palo Alto, CA, USA.ORCID https://orcid.org/0000-0002-5000-7791
Siyeon RheeK-BioX, Palo Alto, CA, USA.ORCID https://orcid.org/0000-0002-7642-4016

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single-cell omics technologies have transformed our investigation of genomic, transcriptomic, and proteomic landscapes at the individual cell level. In particular, the application of single-cell RNA sequencing has unveiled the complex transcriptional variations inherent in cardiac cells, offering valuable perspectives into their dynamics. This review focuses on the integration of single-cell omics with induced pluripotent stem cells (iPSCs) in the context of cardiovascular research, offering a unique avenue to deepen our understanding of cardiac biology. By synthesizing insights from various single-cell technologies, we aim to elucidate the molecular intricacies of heart health and diseases. Beyond current methodologies, we explore the potential of emerging paradigms such as single-cell/spatial omics, delving into their capacity to reveal the spatial organization of cellular components within cardiac tissues. Furthermore, we anticipate their transformative role in shaping the future of cardiovascular research. This review aims to contribute to the advancement of knowledge in the field, offering a comprehensive perspective on the synergistic potential of transcriptomic analyses, iPSC applications, and the evolving frontier of spatial omics.

Indexed as

Cardiovascular diseasesInduced pluripotent stem cellsOrganoidsTranscriptome analysis

Identifiers

PMID39129179
PMCPMC11867907

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.