Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 776

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

MicroRNAs Play an Essential Role in the Development of Cardiac Hypertrophy

Open access
Sayed, Danish, Hong, Chull, Chen, Ieng-Yi, Lypowy, Jacqueline, Abdellatif, Maha·2007·Circulation Research

Abstract

MicroRNAs are naturally existing, small, noncoding RNA molecules that downregulate posttranscriptional gene expression. Their expression pattern and function in the heart remain unknown. Here we report an array of microRNAs that are differentially and temporally regulated during cardiac hypertrophy. Significantly, the muscle-specific microRNA-1 (miR-1) was singularly downregulated as early as day 1 (0.56±0.036), persisting through day 7 (0.29±0.14), after aortic constriction–induced hypertrophy in a mouse model. Overexpression experiments showed that miR-1 inhibited its in silico–predicted, growth-related targets, including Ras GTPase–activating protein (RasGAP), cyclin-dependent kinase 9 (Cdk9), fibronectin, and Ras homolog enriched in brain (Rheb), in addition to protein synthesis and cell size. Thus, we propose that microRNAs play an essential regulatory role in the development of cardiac hypertrophy, wherein downregulation of miR-1 is necessary for the relief of growth-related target genes from its repressive influence and induction of hypertrophy.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1161/01.res.0000257913.42552.23

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 7 references

Cited by

See all 776

Metadata

Authors
Sayed, D., Hong, C., Chen, I.-Y., Lypowy, J., & Abdellatif, M.
Venue
Circulation Research
Published
2007-02-16
Volume
100
Issue
3
Pages
416-424
ISSN
  • 0009-7330 (ISSN-L)
  • 1524-4571
OpenAlex
W1999943920
Cited by
776
References
7
FWCI
20.14
Type
journal article
Language
en
Open access
bronze

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: MicroRNAs Play an Essential Role in the Development of Cardiac Hypertrophy. https://app.cochat.ai/papers/10.1161/01.res.0000257913.42552.23
The paper
Sayed, D., Hong, C., Chen, I.-Y., Lypowy, J., & Abdellatif, M. (2007). MicroRNAs Play an Essential Role in the Development of Cardiac Hypertrophy. Circulation Research. https://doi.org/10.1161/01.res.0000257913.42552.23

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.