Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 483

The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.

Emerging Roles for Natural MicroRNA Sponges

Open access
Ebert, Margaret S., Sharp, Phillip A.·2010·Current Biology

Abstract

Recently, a non-coding RNA expressed from a human pseudogene was reported to regulate the corresponding protein-coding mRNA by acting as a decoy for microRNAs (miRNAs) that bind to common sites in the 3′ untranslated regions (UTRs). It was proposed that competing for miRNAs might be a general activity of pseudogenes. This study raises questions about the potential ability of thousands of non-coding transcripts to interact with miRNAs and influence the expression of miRNA target genes. Three years ago, artificial miRNA decoys termed ‘miRNA sponges’ were introduced as a means to create loss-of-function phenotypes for miRNA families in cell culture and in virally infected tissue and transgenic animals. Given the efficacy of miRNA sponges expressed from stable chromosomal insertions, it seemed plausible that natural non-coding RNAs might have evolved to sequence-specifically sequester miRNAs. The first such endogenous sponge RNA was discovered in plants and found to attenuate a miRNA-mediated response to an environmental stress. More recently, a viral non-coding RNA was observed to sequester and promote the degradation of a cellular miRNA in infected primate cells. In this review we discuss the potential and proven roles for endogenous miRNA sponges and consider some criteria for screening candidate sponge RNAs.

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 · 10.1016/j.cub.2010.08.052

Cites

5 of 5 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 5 references

Cited by

See all 483

Metadata

Authors
Ebert, M. S., & Sharp, P. A.
Venue
Current Biology
Publisher
Elsevier BV
Published
2010-10
Volume
20
Issue
19
Pages
R858-R861
ISSN
0960-9822 (ISSN-L)
OpenAlex
W1504052604
Cited by
483
References
5
FWCI
7.32
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: Emerging Roles for Natural MicroRNA Sponges. https://app.cochat.ai/papers/10.1016/j.cub.2010.08.052
The paper
Ebert, M. S., & Sharp, P. A. (2010). Emerging Roles for Natural MicroRNA Sponges. Current Biology. https://doi.org/10.1016/j.cub.2010.08.052

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.