The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
MicroRNAs as modulators of smoking-induced gene expression changes in human airway epithelium
Open accessAbstract
We have shown that smoking impacts bronchial airway gene expression and that heterogeneity in this response associates with smoking-related disease risk. In this study, we sought to determine whether microRNAs (miRNAs) play a role in regulating the airway gene expression response to smoking. We examined whole-genome miRNA and mRNA expression in bronchial airway epithelium from current and never smokers (n= 20) and found 28 miRNAs to be differentially expressed (P< 0.05) with the majority being down-regulated in smokers. We further identified a number of mRNAs whose expression level is highly inversely correlated with miRNA expression in vivo. Many of these mRNAs contain potential binding sites for the differentially expressed miRNAs in their 3′-untranslated region (UTR) and are themselves affected by smoking. We found that either increasing or decreasing the levels of mir-218 (a miRNA that is strongly affected by smoking) in both primary bronchial epithelial cells and H1299 cells was sufficient to cause a corresponding decrease or increase in the expression of predicted mir-218 mRNA targets, respectively. Further, mir-218 expression is reduced in primary bronchial epithelium exposed to cigarette smoke condensate (CSC), and alteration of mir-218 levels in these cells diminishes the induction of the predicted mir-218 target MAFG in response to CSC. These data indicate that mir-218 levels modulate the airway epithelial gene expression response to cigarette smoke and support a role for miRNAs in regulating host response to environmental toxins.
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
Subramanian, A., Tamayo, P., Mootha, V. K., Mukherjee, S., Ebert, B. L., Gillette, M. A., Paulovich, A., Pomeroy, S. L., Golub, T. R., Lander, E. S., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0506580102 · Cited by 53,625
Bartel (2004) · doi:10.1016/s0092-8674(04)00045-5 · Cited by 34,714
Combinatorial 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
A microRNA component of the p53 tumour suppressor network
He, L., He, X., Lim, L. P., de Stanchina, E., Xuan, Z., Liang, Y., Xue, W., Zender, L., Magnus, J., Ridzon, D., et al. (2007) · Nature · doi:10.1038/nature05939 · Cited by 2,692
A MicroRNA Signature of Hypoxia
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., et al. (2007) · Molecular and Cellular Biology · doi:10.1128/mcb.01395-06 · Cited by 1,055
Cited by
The exposome: from concept to utility
Wild, C. P. (2012) · International Journal of Epidemiology · doi:10.1093/ije/dyr236 · Cited by 1,416
Idiopathic Pulmonary Fibrosis (IPF): An Overview
Barratt, S., Creamer, A., Hayton, C., & Chaudhuri, N. (2018) · Journal of Clinical Medicine · doi:10.3390/jcm7080201 · Cited by 382
An Emerging Role for Epigenetic Dysregulation in Arsenic Toxicity and Carcinogenesis
Ren, X., McHale, C. M., Skibola, C. F., Smith, A. H., Smith, M. T., & Zhang, L. (2011) · Environmental Health Perspectives · doi:10.1289/ehp.1002114 · Cited by 358
Gene expression networks in COPD: microRNA and mRNA regulation
Ezzie, M. E., Crawford, M., Cho, J.-H., Orellana, R., Zhang, S., Gelinas, R., Batte, K., Yu, L., Nuovo, G., Galas, D., et al. (2012) · Thorax · doi:10.1136/thoraxjnl-2011-200089 · Cited by 349
Lung cancer epigenetics: From knowledge to applications
Duruisseaux, M., & Esteller, M. (2018) · Seminars in Cancer Biology · doi:10.1016/j.semcancer.2017.09.005 · Cited by 283
Metadata
- Authors
- Schembri, F., Sridhar, S., Perdomo, C., Gustafson, A. M., Zhang, X., Ergun, A., Lu, J., Liu, G., Zhang, X., Bowers, J., Vaziri, C., Ott, K., Sensinger, K., Collins, J. J., Brody, J. S., Getts, R., Lenburg, M. E., & Spira, A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2009-02-17
- Volume
- 106
- Issue
- 7
- Pages
- 2319-2324
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2148575470
- Cited by
- 427
- References
- 5
- FWCI
- 13.31
- 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: MicroRNAs as modulators of smoking-induced gene expression changes in human airway epithelium. https://app.cochat.ai/papers/10.1073/pnas.0806383106
- The paper
- Schembri, F., Sridhar, S., Perdomo, C., Gustafson, A. M., Zhang, X., Ergun, A., Lu, J., Liu, G., Zhang, X., Bowers, J., Vaziri, C., Ott, K., Sensinger, K., Collins, J. J., Brody, J. S., Getts, R., Lenburg, M. E., & Spira, A. (2009). MicroRNAs as modulators of smoking-induced gene expression changes in human airway epithelium. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.0806383106
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.