Cited by 10MicroRNA in disease regulationNeurogenesis and neuroplasticity mechanismsDevelopmental Biology and Gene Regulation

A role for the cancer-associated miR-106b 25 cluster in neuronal stem cells

Open access
Peck, Barrie, Schulze, Almut·2011·Aging

Abstract

In the last decade, micro-RNAs (miRNAs) have emerged as major regulators of cell fate. They are involved in fine-tuning gene expression in normal developing tissues and are often aberrantly expressed in different disease states, including cancer. miRNAs are 20-25 nucleotide non-coding RNAs that repress the translation and stability of a large number of target mRNAs. \n \nThe study by Brett et al in the previous issue of AGING adds to our understanding of how miRNAs regulate the differentiation of adult neural stem cells (NSCs) [1]. The authors used primary cultures of neural stem/progenitor cells (NSPCs) isolated from adult mice to investigate the importance of a specific miRNA cluster, miR-106b~25, in regulating the proliferative potential and differentiation of NSCs. This miRNA cluster is located within an intronic region of the Mcm7 gene and codes for three different miRNA species, miR-106b, miR-93 and miR-25. Interestingly, activation of this miRNA cluster has been observed in different tumour types and is involved in the inhibition of anti-proliferative and pro-apoptotic genes, such as p21, Bim and TGF-beta [2,3]. Furthermore, this cluster is overexpressed in prostate cancer where it is involved in the downregulation of PTEN expression and also cooperates with its host gene Mcm7 to drive tumourigenesis [4].

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 · 10.18632/aging.100302

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

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

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?

Self-check

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

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

Cites

1 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Peck, B., & Schulze, A.
Affiliations
Cancer Research UK (GB)
Corresponding author
Schulze, Almut
Venue
Aging
Published
2011-03-31
Volume
3
Issue
4
Pages
329-331
ISSN
1945-4589 (ISSN-L)
OpenAlex
W24485795
Cited by
10
References
17
Citations by year
2017: 2 · 2015: 1 · 2014: 1 · 2013: 2 · 2012: 3
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Aging (publishedVersion)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • Queen Mary Research Online (Queen Mary University of London) (submittedVersion, cc-by)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Developmental Biology and Gene Regulation
Keywords
miR-106b-25 cluster, microRNA, neural stem cells, neural stem/progenitor cells, cell differentiation, cell proliferation, MCM7, miR-106b, miR-93, miR-25, cancer, prostate cancer, PTEN
MeSH terms
Animals, Cell Differentiation, Multigene Family, Signal Transduction, MicroRNAs, Cell Proliferation, Mice, Forkhead Transcription Factors, Neural Stem Cells

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