Cited by 170MicroRNA in disease regulationGlioma Diagnosis and TreatmentRNA Interference and Gene Delivery

The DOI matches its Crossref record; 63 of the 63 references it cites were found in a registry or an index; 18 of the 77 sources its claims cite were checked for support.

Reduced Expression of Brain-Enriched microRNAs in Glioblastomas Permits Targeted Regulation of a Cell Death Gene

Open access

Abstract

Glioblastoma is a highly aggressive malignant tumor involving glial cells in the human brain. We used high-throughput sequencing to comprehensively profile the small RNAs expressed in glioblastoma and non-tumor brain tissues. MicroRNAs (miRNAs) made up the large majority of small RNAs, and we identified over 400 different cellular pre-miRNAs. No known viral miRNAs were detected in any of the samples analyzed. Cluster analysis revealed several miRNAs that were significantly down-regulated in glioblastomas, including miR-128, miR-124, miR-7, miR-139, miR-95, and miR-873. Post-transcriptional editing was observed for several miRNAs, including the miR-376 family, miR-411, miR-381, and miR-379. Using the deep sequencing information, we designed a lentiviral vector expressing a cell suicide gene, the herpes simplex virus thymidine kinase (HSV-TK) gene, under the regulation of a miRNA, miR-128, that was found to be enriched in non-tumor brain tissue yet down-regulated in glioblastomas, Glioblastoma cells transduced with this vector were selectively killed when cultured in the presence of ganciclovir. Using an in vitro model to recapitulate expression of brain-enriched miRNAs, we demonstrated that neuronally differentiated SH-SY5Y cells transduced with the miRNA-regulated HSV-TK vector are protected from killing by expression of endogenous miR-128. Together, these results provide an in-depth analysis of miRNA dysregulation in glioblastoma and demonstrate the potential utility of these data in the design of miRNA-regulated therapies for the treatment of brain cancers.

Overview

AI snapshot

Written from the paper’s full text.

TL;DR

Deep sequencing of six glioblastomas and three non-tumor brain samples identified dysregulated microRNAs, including down-regulation of brain-enriched miR-128, and detected no known viral miRNAs. Engineering miR-128 target sites into HSV-TK permitted selective ganciclovir killing of glioblastoma cells while endogenous miR-128 in neuronally differentiated SH-SY5Y cells protected them.

Key findings

  • Small RNA sequencing identified 484 mature human miRNAs/miRNA*s represented at least 10 times among 16,305,416 mapped reads; no viral miRNAs were detected in any of the nine samples.
  • 21 miRNAs met the FDR-adjusted p<0.1 criterion, 17 of which were down-regulated in glioblastoma, including miR-124, miR-95, miR-132, miR-139-5p, miR-7, miR-128, miR-487b, and miR-873; up-regulated miRNAs included miR-10b and miR-93. Using the standard FDR p<0.05 cutoff identified only nine miRNAs.
  • A-to-I editing in miRNA seed sequences occurred in both tumor and non-tumor brain, with no significant difference between sample types; examples included miR-376b (92% non-tumor brain, 91% glioblastoma), miR-376c (63%, 73%), and miR-376a (62%, 69%).
  • Glioblastoma cells transduced with HSV-TK-128.2X were selectively killed by ganciclovir, and ectopic or endogenous miR-128 rescued cells; at 200 µg/mL ganciclovir, ∼70% of HSV-TK-expressing cells were killed.

Methods

  • Small RNA libraries from six adult glioblastomas and three non-tumor brain tissues were sequenced on an Illumina GAII analyzer; 18–25 nt small RNAs were aligned to miRBase v16.0 using miRNAkey with SeqEM, filtered at RPKM >1, and analyzed for differential expression by t test and FDR adjustment.
  • Primer extension validated expression of miR-21, miR-128, miR-124, and miR-132 in brain tissue samples and glioblastoma cell lines.
  • HSV-TK vectors with two miR-128 target sites in the 3′UTR were transfected or lentivirally transduced into glioblastoma and neuroblastoma cell lines; cells were treated with ganciclovir, and viability was measured by crystal violet staining and MTT assays, with SH-SY5Y neuronal differentiation induced by all-trans retinoic acid.

Limitations

  • Stated: high-throughput sequencing has limits; the standard FDR-adjusted p<0.05 cutoff identified only nine dysregulated miRNAs, so the authors expanded to p<0.1 to include 21, noting that additional miRNAs are likely dysregulated.
  • Evident from the text: the sequencing analysis used a small sample set of six glioblastomas and three non-tumor brain tissues.
  • Evident from the text: the therapeutic experiments were in vitro only, using cell lines and differentiated SH-SY5Y cells, with no in vivo tumor model or clinical validation reported.

Model-written summary. Check it against the paper before relying on it.

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0024248

Cites

63 of 63 references verified0 citation errors · 0 not checkable

Statistics

Nothing to recompute.

Verification

Claims the paper makes

18 of 77 cited sources checked · 4 supported · 1 flagged · accuracy not yet measured

Show all 58 claims

  • Probably not a substantial claim. 43
  • It may state two separate claims as one. 32
  • The quote only partly states this claim. 2
66 of 66
  • The paper relies on this without support.

    In deep sequencing libraries, A to I editing is marked by the substitution of A with G.

    “In deep sequencing libraries, this conversion is marked by the substitution of A with G.”
  • The paper relies on this without support.

    Lentiviral vectors can enter tissue surrounding the tumor and kill otherwise healthy cells, which could have dire consequences in the brain.

    “one major drawback in glioblastoma treatment is that such vectors can also enter the tissue surrounding the tumor, killing otherwise healthy cells, which could have dire consequences in the brain.”
  • The paper relies on this without support.

    miRNAs post-transcriptionally down-regulate cellular gene expression by binding to complementary sequences generally located in the 3′ UTRs of target mRNAs.

    “MiRNAs are ∼22 nt non-coding RNAs that post-transcriptionally down-regulate cellular gene expression by binding to complementary sequences generally located in the 3′ untranslated regions (UTRs) of target mRNAs.”
  • The paper relies on this without support.

    Target specificity is predominantly determined by nucleotides 2-8 of the mature miRNA, the miRNA seed, which generally exhibits full sequence complementarity to target mRNAs.

    “Target specificity is predominantly determined by nucleotides 2-8 of the mature miRNA, the miRNA “seed,” which generally exhibits full sequence complementarity to target mRNAs.”
  • The paper relies on this without support.

    miRNA effects on target mRNAs are usually modest.

    “While miRNA effects on target mRNAs are usually modest”
5 of 5

Self-check

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

Each contradiction between two passages listed here was confirmed by an independent check.

  • Sequenced small-RNA size range differs from the preparation range

    Minor

    The Results describe sequencing an 18-25 nt small-RNA population, but the Methods say the extracted small RNAs were 18-24 nt.

  • Four other miRNAs are claimed, but only three are listed

    Minor

    The parenthetical list names only miR-106b, miR-335, and miR-411, not four other miRNAs.

  • Primer-extension RNA quantity differs between Methods and Figure 2

    Minor

    The Methods specify 5 μg of total RNA for primer extensions, whereas Figure 2 specifies 6 μg per reaction. Figure 5 specifies a third amount, 10 μg.

  • SH-SY5Y treatment duration differs between Methods and Figure 5

    Minor

    For SH-SY5Y cells cultured with GCV and ATRA, the Methods state 10 days, while the Figure 5 caption states two weeks.

4 of 4

Citations

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Metadata

Authors
Skalsky, R. L., & Cullen, B. R.
Affiliations
Duke University (US)
Corresponding author
Cullen, Bryan R.
Venue
PLoS ONE
Published
2011-09-02
Volume
6
Issue
9
Pages
e24248
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2020186279
Cited by
170
References
63
Citations by year
2026: 1 · 2025: 2 · 2024: 3 · 2023: 4 · 2022: 8 · 2021: 10 · 2020: 10 · 2019: 10 · 2018: 15 · 2017: 13 · 2016: 19 · 2015: 21 · 2014: 18 · 2013: 23 · 2012: 13
FWCI
5.77
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
  • Pediatric Brain Tumor Foundation
  • National Institutes of Health
  • National Cancer Institute (T32CA009111, T342-CA009111)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
  • Health Sciences › Medicine › Oncology › Glioma Diagnosis and Treatment
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Interference and Gene Delivery
Keywords
glioblastoma, microRNA, miR-128, miR-124, miR-7, miR-139, miR-381, miR-379, HSV thymidine kinase, ganciclovir, neuronal differentiation, SH-SY5Y cells, small RNA profiling
MeSH terms
Base Sequence, Brain, Genetic Vectors, Glioblastoma, Humans, Neurons, Organ Specificity, Thymidine Kinase, Genetic Variation, Reproducibility of Results, Genetic Therapy, Down-Regulation, Cell Death, RNA Editing, DNA Primers, Herpesvirus 1, Human, MicroRNAs, Genes, Transgenic, Suicide, Cell Line, Tumor, High-Throughput Nucleotide Sequencing, Transcriptome

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