The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
MicroRNA 133B targets pro-survival molecules MCL-1 and BCL2L2 in lung cancer
Open accessAbstract
Lung cancer is the most frequent cause of cancer-related death in this country for men and women. MicroRNAs (miRNAs) are a family of small non-coding RNAs (approximately 21–25 nt long) capable of targeting genes for either degradation of mRNA or inhibition of translation. We identified aberrant expression of 41 miRNAs in lung tumor versus uninvolved tissue. MiR-133B had the lowest expression of miRNA in lung tumor tissue (28 fold reduction) compared to adjacent uninvolved tissue. We identified two members of the BCL-2 family of pro-survival molecules (MCL-1 and BCL2L2 (BCLw)) as predicted targets of miR-133B. Selective over-expression of miR-133B in adenocarcinoma (H2009) cell lines resulted in reduced expression of both MCL-1 and BCL2L2. We then confirmed that miR-133B directly targets the 3’UTRs of both MCL-1 and BCL2L2. Lastly, over-expression of miR-133B induced apoptosis following gemcitabine exposure in these tumor cells. To our knowledge, this represents the first observation of decreased expression of miR-133B in lung cancer and that it functionally targets members of the BCL-2 family.
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.
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
Jemal, A., Siegel, R., Ward, E., Hao, Y., Xu, J., & Thun, M. J. (2009) · CA: A Cancer Journal for Clinicians · doi:10.3322/caac.20006 · Cited by 9,709
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
Calin, G. A., Dumitru, C. D., Shimizu, M., Bichi, R., Zupo, S., Noch, E., Aldler, H., Rattan, S., Keating, M., Rai, K., et al. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.242606799 · Cited by 5,111
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
Cited by
MicroRNAs in Development and Disease
Sayed, D., & Abdellatif, M. (2011) · Physiological Reviews · doi:10.1152/physrev.00006.2010 · Cited by 1,078
microRNA-1/133a and microRNA-206/133b clusters: Dysregulation and functional roles in human cancers
Nohata, N., Hanazawa, T., Enokida, H., & Seki, N. (2012) · Oncotarget · doi:10.18632/oncotarget.424 · Cited by 253
Circulating miRNAs as Biomarkers for Neurodegenerative Disorders
Grasso, M., Piscopo, P., Confaloni, A., & Denti, M. (2014) · Molecules · doi:10.3390/molecules19056891 · Cited by 208
Maccani, M. A., Avissar-Whiting, M., Banister, C. E., McGonnigal, B., Padbury, J. F., & Marsit, C. J. (2010) · Epigenetics · doi:10.4161/epi.5.7.12762 · Cited by 189
MicroRNA Dysregulation in the Spinal Cord following Traumatic Injury
Yunta, M., Nieto-Díaz, M., Esteban, F. J., Caballero-López, M., Navarro-Ruíz, R., Reigada, D., Pita-Thomas, D. W., Águila, Á. D., Muñoz-Galdeano, T., & Maza, R. M. (2012) · PLoS ONE · doi:10.1371/journal.pone.0034534 · Cited by 122
Metadata
- Authors
- Crawford, M., Batte, K., Yu, L., Wu, X., Nuovo, G. J., Marsh, C. B., Otterson, G. A., & Nana-Sinkam, S. P.
- Venue
- Biochemical and Biophysical Research Communications
- Publisher
- Elsevier BV
- Published
- 2009-10
- Volume
- 388
- Issue
- 3
- Pages
- 483-489
- ISSN
- 0006-291X (ISSN-L)
- OpenAlex
- W1990261439
- Cited by
- 176
- References
- 4
- FWCI
- 4.57
- Type
- journal article
- Language
- en
- Open access
- green
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: MicroRNA 133B targets pro-survival molecules MCL-1 and BCL2L2 in lung cancer. https://app.cochat.ai/papers/10.1016/j.bbrc.2009.07.143
- The paper
- Crawford, M., Batte, K., Yu, L., Wu, X., Nuovo, G. J., Marsh, C. B., Otterson, G. A., & Nana-Sinkam, S. P. (2009). MicroRNA 133B targets pro-survival molecules MCL-1 and BCL2L2 in lung cancer. Biochemical and Biophysical Research Communications. https://doi.org/10.1016/j.bbrc.2009.07.143
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.
