The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
IGF2BP1 promotes SRF-dependent transcription in cancer in a m6A- and miRNA-dependent manner
Open accessAbstract
The oncofetal mRNA-binding protein IGF2BP1 and the transcriptional regulator SRF modulate gene expression in cancer. In cancer cells, we demonstrate that IGF2BP1 promotes the expression of SRF in a conserved and N6-methyladenosine (m6A)-dependent manner by impairing the miRNA-directed decay of the SRF mRNA. This results in enhanced SRF-dependent transcriptional activity and promotes tumor cell growth and invasion. At the post-transcriptional level, IGF2BP1 sustains the expression of various SRF-target genes. The majority of these SRF/IGF2BP1-enhanced genes, including PDLIM7 and FOXK1, show conserved upregulation with SRF and IGF2BP1 synthesis in cancer. PDLIM7 and FOXK1 promote tumor cell growth and were reported to enhance cell invasion. Consistently, 35 SRF/IGF2BP1-dependent genes showing conserved association with SRF and IGF2BP1 expression indicate a poor overall survival probability in ovarian, liver and lung cancer. In conclusion, these findings identify the SRF/IGF2BP1-, miRNome- and m6A-dependent control of gene expression as a conserved oncogenic driver network in cancer.
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
featureCounts: an efficient general purpose program for assigning sequence reads to genomic features
Liao, Y., Smyth, G. K., & Shi, W. (2014) · Bioinformatics · doi:10.1093/bioinformatics/btt656 · Cited by 27,219
miRBase: annotating high confidence microRNAs using deep sequencing data
Kozomara, A., & Griffiths-Jones, S. (2014) · Nucleic Acids Research · doi:10.1093/nar/gkt1181 · Cited by 5,073
Recognition of RNA N6-methyladenosine by IGF2BP proteins enhances mRNA stability and translation
Huang, H., Weng, H., Sun, W., Qin, X., Shi, H., Wu, H., Zhao, B. S., Mesquita, A., Liu, C., Yuan, C. L., et al. (2018) · Nature Cell Biology · doi:10.1038/s41556-018-0045-z · Cited by 2,997
Self-citationNegative Regulation of the EGFR-MAPK Cascade by Actin-MAL-Mediated Mig6/Errfi-1 Induction
Descot, A., Hoffmann, R., Shaposhnikov, D., Reschke, M., Ullrich, A., & Posern, G. (2009) · Molecular Cell · doi:10.1016/j.molcel.2009.07.015 · Cited by 128
Self-citationBoros, J., Donaldson, I. J., O'Donnell, A., Odrowaz, Z. A., Zeef, L., Lupien, M., Meyer, C. A., Liu, X. S., Brown, M., & Sharrocks, A. D. (2009) · Genome Research · doi:10.1101/gr.093047.109 · Cited by 127
Cited by
The role of m6A modification in the biological functions and diseases
Jiang, X., Liu, B., Nie, Z., Duan, L., Xiong, Q., Jin, Z., Yang, C., & Chen, Y. (2021) · Signal Transduction and Targeted Therapy · doi:10.1038/s41392-020-00450-x · Cited by 2,335
Role of RNA modifications in cancer
Barbieri, I., & Kouzarides, T. (2020) · Nature Reviews Cancer · doi:10.1038/s41568-020-0253-2 · Cited by 1,312
The role of m6A RNA methylation in cancer metabolism
An, Y., & Duan, H. (2022) · Molecular Cancer · doi:10.1186/s12943-022-01500-4 · Cited by 871
The Critical Role of RNA m6A Methylation in Cancer
Lan, Q., Liu, P. Y., Haase, J., Bell, J. L., Hüttelmaier, S., & Liu, T. (2019) · Cancer Research · doi:10.1158/0008-5472.can-18-2965 · Cited by 720
Self-citationEpigenetic regulation in human cancer: the potential role of epi-drug in cancer therapy
Lu, Y., Chan, Y.-T., Tan, H.-Y., Li, S., Wang, N., & Feng, Y. (2020) · Molecular Cancer · doi:10.1186/s12943-020-01197-3 · Cited by 499
Metadata
- Authors
- Müller, S., Glaß, M., Singh, A. K., Haase, J., Bley, N., Fuchs, T., Lederer, M., Dahl, A., Huang, H., Chen, J., Posern, G., & Hüttelmaier, S.
- Venue
- Nucleic Acids Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2018-10-29
- Volume
- 47
- Issue
- 1
- Pages
- 375-390
- ISSN
- 0305-1048 (ISSN-L)
- 1362-4962
- OpenAlex
- W2899264175
- Cited by
- 379
- References
- 5
- FWCI
- 11.69
- Type
- journal article
- Language
- en
- Open access
- gold
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: IGF2BP1 promotes SRF-dependent transcription in cancer in a m6A- and miRNA-dependent manner. https://app.cochat.ai/papers/10.1093/nar/gky1012
- The paper
- Müller, S., Glaß, M., Singh, A. K., Haase, J., Bley, N., Fuchs, T., Lederer, M., Dahl, A., Huang, H., Chen, J., Posern, G., & Hüttelmaier, S. (2019). IGF2BP1 promotes SRF-dependent transcription in cancer in a m6A- and miRNA-dependent manner. Nucleic Acids Research. https://doi.org/10.1093/nar/gky1012
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.