The DOI matches its Crossref record; 30 of the 31 references it cites were found in a registry or an index.
A MicroRNA Signature of Hypoxia
Open accessAbstract
Recent research has identified critical roles for microRNAs in a large number of cellular processes, including tumorigenic transformation. While significant progress has been made towards understanding the mechanisms of gene regulation by microRNAs, much less is known about factors affecting the expression of these noncoding transcripts. Here, we demonstrate for the first time a functional link between hypoxia, a well-documented tumor microenvironment factor, and microRNA expression. Microarray-based expression profiles revealed that a specific spectrum of microRNAs (including miR-23, -24, -26, -27, -103, -107, -181, -210, and -213) is induced in response to low oxygen, at least some via a hypoxia-inducible-factor-dependent mechanism. Select members of this group (miR-26, -107, and -210) decrease proapoptotic signaling in a hypoxic environment, suggesting an impact of these transcripts on tumor formation. Interestingly, the vast majority of hypoxia-induced microRNAs are also overexpressed in a variety of human tumors.
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.
Integrity signals
Registry
Cites
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.
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“miR-23a was induced under hypoxic circumstances and can ultimately act upon pro-apoptotic signals to promote tumor formation and oncogenic transformation [89].”
From Recent advances of miR-23 in human diseases and growth development (2025) · cites this paper as [89]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Another factor that can induce miR-21 expression is hypoxia, a general feature of all solid tumors (30).”
From MicroRNA 21 Promotes Glioma Invasion by Targeting Matrix Metalloproteinase Regulators (2008) · cites this paper as [30]
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
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
MicroRNA expression profiles classify human cancers
Lü, J., Getz, G. A., Miska, E. A., Alvarez-Saavedra, E., Lamb, J., Peck, D., Sweet-Cordero, A., Ebert, B. L., Mak, R. H., Ferrando, A. A., et al. (2005) · Nature · doi:10.1038/nature03702 · Cited by 9,637
A microRNA expression signature of human solid tumors defines cancer gene targets
Volinia, S., Calin, G. A., Liu, C.-G., Ambs, S., Cimmino, A., Petrocca, F., Visone, R., Iorio, M., Roldo, C., Ferracin, M., et al. (2006) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0510565103 · Cited by 5,697
Self-citationJaakkola, P., Mole, D. R., Tian, Y.-M., Wilson, M. I., Gielbert, J., Gaskell, S. J., Kriegsheim, A. V., Hebestreit, H. F., Mukherji, M., Schofield, C. J., et al. (2001) · Science · doi:10.1126/science.1059796 · Cited by 5,535
Prediction of Mammalian MicroRNA Targets
Lewis, B. P., Shih, I.-H., Jones-Rhoades, M. W., Bartel, D. P., & Burge, C. B. (2003) · Cell · doi:10.1016/s0092-8674(03)01018-3 · Cited by 5,199
Hypoxia — a key regulatory factor in tumour growth
Harris, A. L. (2002) · Nature Reviews Cancer · doi:10.1038/nrc704 · Cited by 5,177
HIFα Targeted for VHL-Mediated Destruction by Proline Hydroxylation: Implications for O 2 Sensing
Ivan, M., Kondo, K., Yang, H., Kim, W., Valiando, J., Ohh, M., Salic, A., Asara, J. M., Lane, W. S., & Kaelin Jr., W. G. (2001) · Science · doi:10.1126/science.1059817 · Cited by 4,735 · cited 1×
“to-alanine substitutions have been described previously (14, 15).”
MethodSelf-citationCombinatorial microRNA target predictions
Krek, A., Grün, D., Poy, M. N., Wolf, R., Rosenberg, L., Epstein, E. J., MacMenamin, P., da Piedade, I., Gunsalus, K. C., Stoffel, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1536 · Cited by 4,603
MicroRNA Gene Expression Deregulation in Human Breast Cancer
Iorio, M. V., Ferracin, M., Liu, C.-G., Veronese, A., Spizzo, R., Sabbioni, S., Magri, E., Pedriali, M., Fabbri, M., Campiglio, M., et al. (2005) · Cancer Research · doi:10.1158/0008-5472.can-05-1783 · Cited by 4,053
Self-citationmiRBase: microRNA sequences, targets and gene nomenclature
Griffiths-Jones, S. (2006) · Nucleic Acids Research · doi:10.1093/nar/gkj112 · Cited by 3,950
Cited by
Sorted by citations
MicroRNA therapeutics: towards a new era for the management of cancer and other diseases
Rupaimoole, R., & Slack, F. J. (2017) · Nature Reviews Drug Discovery · doi:10.1038/nrd.2016.246 · Cited by 4,741
Hypoxia-inducible factors in physiology and medicine
Semenza, G. L. (2012) · Cell · doi:10.1016/j.cell.2012.01.021 · Cited by 3,645
Oxygen sensing by metazoans: the central role of the HIF hydroxylase pathway.
Kaelin, W. G., & Ratcliffe, P. J. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.04.009 · Cited by 3,251
MicroRNA: Biogenesis, Function and Role in Cancer
MacFarlane, L.-A., & R. Murphy, P. (2010) · Current Genomics · doi:10.2174/138920210793175895 · Cited by 1,584
MicroRNA dysregulation in cancer: diagnostics, monitoring and therapeutics. A comprehensive review
Iorio, M. V., & Croce, C. M. (2012) · EMBO Molecular Medicine · doi:10.1002/emmm.201100209 · Cited by 1,778
Self-citation
Metadata
- Authors
- Kulshreshtha, R., Ferracin, M., Wojcik, S. E., Garzon, R., Alder, H., Agosto-Perez, F. J., Davuluri, R., Liu, C.-G., Croce, C. M., Negrini, M., Calin, G. A., & Ivan, M.
- Affiliations
- Tufts Medical Center (US)
- University of Ferrara (IT)
- The Ohio State University (US)
- Comprehensive Cancer Center, Ohio State University
- Corresponding author
- Ivan, Mircea
- ORCID
- Venue
- Molecular and Cellular Biology
- Publisher
- Informa UK Limited
- Published
- 2007-03-01
- Volume
- 27
- Issue
- 5
- Pages
- 1859-1867
- ISSN
- 0270-7306 (ISSN-L)
- 1098-5549
- PMC
- PMC1820461
- OpenAlex
- W2116000203
- Cited by
- 1,055
- References
- 31
- Citations by year
- 2026: 11 · 2025: 19 · 2024: 26 · 2023: 32 · 2022: 45 · 2021: 50 · 2020: 43 · 2019: 54 · 2018: 38 · 2017: 70 · 2016: 63 · 2015: 73 · 2014: 91 · 2013: 93 · 2012: 81
- FWCI
- 16.33
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Molecular and Cellular Biology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Institutional Research Information System University of Ferrara (University of Ferrara) (submittedVersion)
- Funders
- National Institute of Diabetes and Digestive and Kidney Diseases (P30 DK-34928, P30DK034928)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer, Hypoxia, and Metabolism
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Keywords
- microRNA, hypoxia, hypoxia-inducible factor, miR-210, miR-26, miR-107, tumor microenvironment, tumor formation, apoptosis, miRNA expression profiling, non-coding RNA regulation
- MeSH terms
- Breast Neoplasms, Colonic Neoplasms, Female, Humans, Luciferases, Plasmids, Transfection, Cell Hypoxia, Apoptosis, Genes, Reporter, HT29 Cells, Reverse Transcriptase Polymerase Chain Reaction, Oligonucleotide Array Sequence Analysis, Gene Expression Profiling, MicroRNAs, HCT116 Cells, Cell Line, Tumor, Chromatin Immunoprecipitation
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