Cited by 1,484MicroRNA in disease regulationRNA Research and SplicingPlant Molecular Biology Research

The Widespread Impact of Mammalian MicroRNAs on mRNA Repression and Evolution

Farh, Kyle Kai-How, Grimson, Andrew, Jan, Calvin, Lewis, Benjamin P., Johnston, Wendy K., Lim, Lee P., Burge, Christopher B., Bartel, David P.·2005·Science

Abstract

Thousands of mammalian messenger RNAs are under selective pressure to maintain 7-nucleotide sites matching microRNAs (miRNAs). We found that these conserved targets are often highly expressed at developmental stages before miRNA expression and that their levels tend to fall as the miRNA that targets them begins to accumulate. Nonconserved sites, which outnumber the conserved sites 10 to 1, also mediate repression. As a consequence, genes preferentially expressed at the same time and place as a miRNA have evolved to selectively avoid sites matching the miRNA. This phenomenon of selective avoidance extends to thousands of genes and enables spatial and temporal specificities of miRNAs to be revealed by finding tissues and developmental stages in which messages with corresponding sites are expressed at lower levels.

Integrity signals

Registry

Crossref · 10.1126/science.1121158

Cites

23 of 23 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The cellular prevalence of negative correlation signatures is in agreement with other genome-wide studies showing that predicted targets are expressed at lower levels in tissues where the miRNA is present compared to tissues where it is absent.

    “This cellular prevalence of negative correlation signatures is in agreement with other genome-wide studies showing that the predicted targets are expressed at lower levels in tissues where the miRNA is present compared to other tissues where the miRNA is absent (Farh et al., 2005).”
  • miR-375 and miR-7 are predicted to be expressed in the pituitary, and the authors' results show highest accumulation of both miR-7 and miR-375 in the pituitary.

    “For example, miR-375 and miR-7 are predicted to be expressed in the pituitary and, indeed, our results show highest accumulation of both miR-7 and miR-375 in the pituitary.”

    From MicroRNA expression in the adult mouse central nervous system (2008) · cites this paper as Farh et al. 2005

  • miR-10a and miR-10b are enriched in both medulla oblongata and spinal cord, consistent with their predicted accumulation in the lower spinal cord.

    “We also find miR-10a and miR-10b to be enriched in both medulla oblongata and spinal cord, which is consistent with their predicted accumulation in the lower spinal cord (Farh et al. 2005).”

    From MicroRNA expression in the adult mouse central nervous system (2008) · cites this paper as Farh et al. 2005

  • miR-7 and miR-7b were enriched in the pituitary and hypothalamus.

    “Consistent with previous reports, we found that miR-7 and miR-7b were enriched in the pituitary and hypothalamus (Farh et al. 2005);”

    From MicroRNA expression in the adult mouse central nervous system (2008) · cites this paper as Farh et al. 2005

  • Previous computational analyses of microarray data have shown that predicted mRNA targets of several highly tissue-specific miRNAs are expressed at significantly lower levels in the same tissues compared to tissues where such miRNAs are not expressed.

    “Previous computational analyses of microarray data have shown that predicted mRNA targets of several highly tissue-specific miRNAs are expressed at significantly lower levels in the same tissues compared to tissues where such miRNAs are not expressed (Farh et al. 2005;Sood et al. 2006).”

    From MicroRNA expression in the adult mouse central nervous system (2008) · cites this paper as Farh et al. 2005

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Farh, K. K.-H., Grimson, A., Jan, C., Lewis, B. P., Johnston, W. K., Lim, L. P., Burge, C. B., & Bartel, D. P.
Affiliations
Howard Hughes Medical Institute (US)
Corresponding author
  • Farh, Kyle Kai-How
  • Grimson, Andrew
  • Bartel, David P.
Venue
Science
Published
2005-12-16
Volume
310
Issue
5755
Pages
1817-1821
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W1990868443
Cited by
1,484
References
23
Citations by year
2026: 9 · 2025: 13 · 2024: 21 · 2023: 33 · 2022: 31 · 2021: 29 · 2020: 63 · 2019: 45 · 2018: 65 · 2017: 63 · 2016: 61 · 2015: 99 · 2014: 106 · 2013: 92 · 2012: 99
FWCI
36.85
Type
journal article
Language
en
Open access
closed
Locations
  • Science (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
  • Life Sciences › Agricultural and Biological Sciences › Plant Science › Plant Molecular Biology Research
Keywords
microRNA, mRNA repression, microRNA binding sites, selective avoidance, gene expression evolution, developmental gene expression, mammalian gene regulation
MeSH terms
Animals, Base Sequence, Cell Differentiation, Gene Expression Regulation, Humans, Mammals, Molecular Sequence Data, Organ Specificity, RNA, Messenger, Species Specificity, Zebrafish, Conserved Sequence, Muscle Fibers, Skeletal, Evolution, Molecular, Untranslated Regions, Gene Expression Profiling, RNA Stability, MicroRNAs, Mice, Rats

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