The DOI matches its Crossref record; 59 of the 62 references it cites were found in a registry or an index.
Widespread Shortening of 3′UTRs by Alternative Cleavage and Polyadenylation Activates Oncogenes in Cancer Cells
Open accessAbstract
In cancer cells, genetic alterations can activate proto-oncogenes, thereby contributing to tumorigenesis. However, the protein products of oncogenes are sometimes overexpressed without alteration of the proto-oncogene. Helping to explain this phenomenon, we found that when compared to similarly proliferating nontransformed cell lines, cancer cell lines often expressed substantial amounts of mRNA isoforms with shorter 3' untranslated regions (UTRs). These shorter isoforms usually resulted from alternative cleavage and polyadenylation (APA). The APA had functional consequences, with the shorter mRNA isoforms exhibiting increased stability and typically producing ten-fold more protein, in part through the loss of microRNA-mediated repression. Moreover, expression of the shorter mRNA isoform of the proto-oncogene IGF2BP1/IMP-1 led to far more oncogenic transformation than did expression of the full-length, annotated mRNA. The high incidence of APA in cancer cells, with consequent loss of 3'UTR repressive elements, suggests a pervasive role for APA in oncogene activation without genetic alteration.
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?
In the citing paper
“the importance of transcript 3′ UTRs as targets for miRNAs suggests that stem cell quiescence is controlled, at least in part, by mechanisms that alter 3′ UTR length and thus the susceptibility to regulation by miRNAs92–95.”
From Molecular regulation of stem cell quiescence (2013) · cites this paper as [95]
In the citing paper
“Shortening of 3′ UTRs seems to correlate with proliferation in many cell types94, including aberrant proliferation in the case of cancer cells95 or during somatic cell reprogramming99”
From Molecular regulation of stem cell quiescence (2013) · cites this paper as [95]
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
MicroRNAs: Target Recognition and Regulatory Functions
Bartel, D. P. (2009) · Cell · doi:10.1016/j.cell.2009.01.002 · Cited by 20,068
Self-citationThe C. elegans heterochronic gene lin-4 encodes small RNAs with antisense complementarity to lin-14
Lee, R. C., Feinbaum, R. L., & Ambros, V. (1993) · Cell · doi:10.1016/0092-8674(93)90529-y · Cited by 12,948
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
Self-citation(2008) · doi:10.1038/nrg2290 · Cited by 5,199
Alternative isoform regulation in human tissue transcriptomes
Wang, E. T., Sandberg, R., Luo, S., Khrebtukova, I., Zhang, L., Mayr, C., Kingsmore, S. F., Schroth, G. P., & Burge, C. B. (2008) · Nature · doi:10.1038/nature07509 · Cited by 5,181
Self-citationCalin, 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
Wightman, B., Ha, I., & Ruvkun, G. (1993) · Cell · doi:10.1016/0092-8674(93)90530-4 · Cited by 4,292
MicroRNA Targeting Specificity in Mammals: Determinants beyond Seed Pairing
Grimson, A., Farh, K. K.-H., Johnston, W. K., Garrett-Engele, P., Lim, L. P., & Bartel, D. P. (2007) · Molecular Cell · doi:10.1016/j.molcel.2007.06.017 · Cited by 3,766
Self-citationRAS Is Regulated by the let-7 MicroRNA Family
Johnson, S., Großhans, H., Shingara, J., Byrom, M., JARVIS, R., Cheng, A., Labourier, E., Reinert, K. L., Brown, D., & Slack, F. J. (2005) · Cell · doi:10.1016/j.cell.2005.01.014 · Cited by 3,699
A microRNA polycistron as a potential human oncogene
He, L., Thomson, J. M., Hemann, M. T., Hernando, E., Mu, D., Goodson, S. G., Powers, S., Cordon‐Cardo, C., Lowe, S. W., Hannon, G. J., et al. (2005) · Nature · doi:10.1038/nature03552 · Cited by 3,642
Flagged first, then by citations
3 of the 62 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 901–999 of 999
Fan, Z., Kim, S., Bai, Y., Diergaarde, B. B., Oesterreich, S., & Park, H. J. (2020) · Frontiers in Bioengineering and Biotechnology · doi:10.3389/fbioe.2020.00334 · Cited by 16
Zhao, Y., Chen, X., Zhang, X., & Liu, H. (2025) · Biomarker Research · doi:10.1186/s40364-025-00794-y · Cited by 18
Decoding the interactions and functions of non-coding RNA with artificial intelligence
Jung, V., Vincent-Cuaz, C., Tumescheit, C., Fournier, L. M., Darsinou, M., Xu, Z. M., Saadat, A., Wang, Y., Tsantoulis, P. K., Michielin, O. A., et al. (2025) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-025-00857-w · Cited by 18
CSTF2 Promotes Hepatocarcinogenesis and Hepatocellular Carcinoma Progression via Aerobic Glycolysis
Chen, Z., Hao, W., Tang, J., Gao, W., & Xu, H. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.897804 · Cited by 16
Wen, D.-S., Huang, L.-C., Bu, X., He, M., Lai, Z., Du, Z., Huang, Y., Kan, A., & Shi, M. (2023) · Cell Death and Disease · doi:10.1038/s41419-023-06293-y · Cited by 16
Regulation of lymphocyte development and function by RNA-binding proteins
Turner, M., & Hodson, D. J. (2012) · Current Opinion in Immunology · doi:10.1016/j.coi.2012.01.011 · Cited by 16
A Global Analysis of Tandem 3′UTRs in Eosinophilic Chronic Rhinosinusitis with Nasal Polyps
Tian, P., Sun, Y., Li, Y., Liu, X., Wan, L., Li, J., Ma, Y., Xu, A., Fu, Y., & Zou, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0048997 · Cited by 16
Perspectives of Integrative Cancer Genomics in Next Generation Sequencing Era
Kwon, S. M., Cho, H., Choi, J. H., Jee, B. A., Jo, Y., & Woo, H. G. (2012) · Genomics & Informatics · doi:10.5808/gi.2012.10.2.69 · Cited by 16
Fu, H., Wang, P., Wu, X., Zhou, X., Ji, G., Shen, Y., Gao, Y., Li, Q. Q., & Liang, J. (2019) · The Plant Journal · doi:10.1111/tpj.14309 · Cited by 16
Click-encoded rolling FISH for visualizing single-cell RNA polyadenylation and structures
Chen, F., Bai, M., Cao, X., Zhao, Y., Xue, J., & Zhao, Y. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz852 · Cited by 16
Dietrich, P., Alli, S., Mulligan, M. K., Cox, R., Ashbrook, D. G., Williams, R. W., & Dragatsis, I. (2021) · Neurobiology of Disease · doi:10.1016/j.nbd.2021.105581 · Cited by 16
Male-specific splicing of the silkworm Imp gene is maintained by an autoregulatory mechanism
Suzuki, M. G., Kobayashi, S., & Aoki, F. (2013) · Mechanisms of Development · doi:10.1016/j.mod.2013.10.004 · Cited by 16
Alternative Polyadenylation of Tumor Suppressor Genes in Small Intestinal Neuroendocrine Tumors
Rehfeld, A., Plass, M., Døssing, K. B. V., Knigge, U., Kjær, A., Krogh, A., & Friis-Hansen, L. J. (2014) · Frontiers in Endocrinology · doi:10.3389/fendo.2014.00046 · Cited by 16
Regulation of AGR2 expression via 3’UTR shortening
Matoulková, E., Sommerová, L., Pastorek, M., Vojtěšek, B., & Hrstka, R. (2017) · Experimental Cell Research · doi:10.1016/j.yexcr.2017.04.011 · Cited by 17
Gallardo, C. M., de Diego, A. S., Martínez‐A, C., & van Wely, K. H. M. (2021) · Transcription · doi:10.1080/21541264.2021.1959244 · Cited by 15
MCL1 alternative polyadenylation is essential for cell survival and mitochondria morphology
Pereira‐Castro, I., García, B., Curinha, A., Neves‐Costa, A., Conde‐Sousa, E., Moita, L. F., & Moreira, A. (2022) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-022-04172-x · Cited by 16
Marjamaa, A., Gibbs, B. E., Kotrba, C., & Masamha, C. P. (2023) · Scientific Reports · doi:10.1038/s41598-023-44548-y · Cited by 15
Dynamic regulation of alternative polyadenylation by PQBP1 during neurogenesis
Liu, X., Xie, H., Liu, W., Zuo, J. J., Li, S., Tian, Y., Zhao, J., Bai, M., Li, J., Bao, L., et al. (2024) · Cell Reports · doi:10.1016/j.celrep.2024.114525 · Cited by 18
Widespread 3′UTR capped RNAs derive from G-rich regions in proximity to AGO2 binding sites
Haberman, N., Digby, H., Faraway, R., Cheung, R., Chakrabarti, A. M., Jobbins, A. M., Parr, C., Yasuzawa, K., Kasukawa, T., Yip, C. W., et al. (2024) · BMC Biology · doi:10.1186/s12915-024-02032-7 · Cited by 15
Zhang, Q., Zhang, Y., Fu, C., He, X., Huang, Z., Wu, G., Wei, T., Jin, W., Yan, L., Wu, M., et al. (2024) · Cancer Research · doi:10.1158/0008-5472.can-24-2283 · Cited by 15
Kandettu, A., Ghosal, J., Tharayil, J. S., Kuthethur, R., Mallya, S. P., Narasimhamurthy, R. K., Mumbrekar, K. D., Subbannayya, Y., Kumar, N. A. N., Radhakrishnan, R. A., et al. (2025) · Free Radical Biology and Medicine · doi:10.1016/j.freeradbiomed.2025.04.019 · Cited by 17
Bertagnolli, N. M., Drake, J. A., Tennessen, J. M., & Alter, O. (2013) · PLoS ONE · doi:10.1371/journal.pone.0078913 · Cited by 15
The SNAI1 3′UTR functions as a sponge for multiple migration-/invasion-related microRNAs
Li, J., Yu, H., Xi, M., Ma, D., & Lu, X. (2014) · Tumor Biology · doi:10.1007/s13277-014-2733-z · Cited by 15
Youssof, S., Schrader, R., Bear, D. G., & Morrison, L. A. (2014) · Neuromuscular Disorders · doi:10.1016/j.nmd.2014.11.010 · Cited by 15
miRSeqNovel: An R based workflow for analyzing miRNA sequencing data
Qian, K., Auvinen, E., Greco, D., & Auvinen, P. (2012) · Molecular and Cellular Probes · doi:10.1016/j.mcp.2012.05.002 · Cited by 15
Shao, J., Zhang, J., Zhang, Z., Jiang, H., Lou, X., Huang, B., Foltz, G., Lan, Q., Huang, Q., & Lin, B. (2013) · OMICS A Journal of Integrative Biology · doi:10.1089/omi.2012.0098 · Cited by 15
Zhao, H., Liu, F., Wu, S., Yang, L., Zhang, Y., & Li, C.-P. (2017) · Nanoscale · doi:10.1039/c6nr09300k · Cited by 15
Wang, W., Fang, D., Gan, J., Shi, Y., Tang, H., Wang, H., Fu, M., & Yi, J. (2019) · Genes & Genomics · doi:10.1007/s13258-019-00808-8 · Cited by 14
Networks of mRNA Processing and Alternative Splicing Regulation in Health and Disease
Jordan, P., Gonçalves, V., Fernandes, S., Marques, T. M., Pereira, M. H. N., & Gama‐Carvalho, M. (2019) · Advances in experimental medicine and biology · doi:10.1007/978-3-030-19966-1_1 · Cited by 16
Single-cell alternative polyadenylation analysis delineates GABAergic neuron types
Yang, Y., Paul, A., Bach, T. N., Huang, Z. J., & Zhang, M. Q. (2021) · BMC Biology · doi:10.1186/s12915-021-01076-3 · Cited by 15
New technologies for improved relevance in miRNA research
Jacquet, K., Vidal-Cruchez, O., Rezzonico, R., Nicolini, V. J., Mograbi, B., Hofman, P. M., Vassaux, G., Mari, B. P., & Brest, P. (2021) · Trends in Genetics · doi:10.1016/j.tig.2021.08.006 · Cited by 15
Jia, Q., Xie, B., Zhao, Z., Huang, L., Wei, G., & Ni, T. (2021) · Molecular Oncology · doi:10.1002/1878-0261.13125 · Cited by 16
Desi, N., Tong, Q. Y., Teh, V., Chan, J. J., Zhang, B., Tabatabaeian, H., Tan, H. Q., Kapeli, K., Jin, W., Lim, C. Y., et al. (2022) · Cellular and Molecular Life Sciences · doi:10.1007/s00018-021-04093-1 · Cited by 15
Calpain-2 Mediates MBNL2 Degradation and a Developmental RNA Processing Program in Neurodegeneration
Wang, L., Lin, C., Lin, Y.-M., Buée, L., Sergeant, N., Blum, D. L., Chern, Y., & Wang, G. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.2006-21.2022 · Cited by 19
Tseng, H.-W., Mota-Sydor, A., Leventis, R., Jovanović, P., Topisirović, I., & Duchaîne, T. F. (2022) · Nucleic Acids Research · doi:10.1093/nar/gkac704 · Cited by 15
Wang, J., Chen, W., Yue, W., Hou, W., Rao, F., Zhong, H., Qi, Y., Hong, N., Ni, T., & Jin, W. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2113504119 · Cited by 16
Transcriptional activators enhance polyadenylation of mRNA precursors
Nagaike, T., & Manley, J. L. (2011) · RNA Biology · doi:10.4161/rna.8.6.17210 · Cited by 15
Genome-Wide Analysis of Polyadenylation Events in Schmidtea mediterranea
Lakshmanan, V., Bansal, D., Kulkarni, J., Poduval, D. B., Gopinath, S. K., Sasidharan, V., Anand, P., Seshasayee, A. S. N., & Palakodeti, D. (2016) · G3 Genes Genomes Genetics · doi:10.1534/g3.116.031120 · Cited by 14
Imaging Organization of RNA Processing within the NucleusPreprint
Biswas, J., Li, W., Singer, R. H., & Coleman, R. A. (2021) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a039453 · Cited by 15
Modulation of diverse biological processes by CPSF, the master regulator of mRNA 3′ ends
Liu, L., & Manley, J. L. (2024) · RNA · doi:10.1261/rna.080108.124 · Cited by 14
Crosstalk Between mRNA 3'-End Processing and Epigenetics
Soles, L. V., & Shi, Y. (2021) · Frontiers in Genetics · doi:10.3389/fgene.2021.637705 · Cited by 14
Alternative polyadenylation is a determinant of oncogenic Ras function
Subramanian, A., Hall, M., Hou, H., Mufteev, M., Yu, B., Yuki, K. E., Nishimura, H., Sathaseevan, A., Lant, B., Zhai, B., et al. (2021) · Science Advances · doi:10.1126/sciadv.abh0562 · Cited by 15
REPAC: analysis of alternative polyadenylation from RNA-sequencing data
Imada, E. L., Wilks, C., Langmead, B., & Marchionni, L. (2023) · Genome biology · doi:10.1186/s13059-023-02865-5 · Cited by 14
Wilton, J., de Mendonça, F. L., Pereira‐Castro, I., Tellier, M., Nojima, T., Costa, Â. M., Freitas, J., Murphy, S., Oliveira, M. J., Proudfoot, N. J., et al. (2023) · Frontiers in Immunology · doi:10.3389/fimmu.2023.1182525 · Cited by 14
Gabel, A. M., Belleville, A. E., Thomas, J. D., McKellar, S. A., Nicholas, T. R., Banjo, T., Crosse, E. I., & Bradley, R. K. (2024) · Nature Communications · doi:10.1038/s41467-024-44931-x · Cited by 15
Using synthetic RNA to benchmark poly(A) length inference from direct RNA sequencing
Chang, J. J. ‐., Yang, X., Teng, H., Zhang, J., Reames, B., Zhang, S., Corbin, V., & Coin, L. (2025) · GigaScience · doi:10.1093/gigascience/giaf098 · Cited by 13
Li, D., Gaedigk, R., Hart, S. N., Leeder, J. S., & Zhong, X.-B. (2011) · Molecular Pharmacology · doi:10.1124/mol.111.074393 · Cited by 14
Bráz, S., Cruz, A., Lobo, A. C., Bravo, J., Moreira-Ribeiro, J., Pereira‐Castro, I., Freitas, J., Relvas, J. B., Summavielle, T., & Moreira, A. (2017) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2017.03.002 · Cited by 13
Singh, A., Borah, A. K., Deka, K., Gogoi, A. P., Verma, K., Barah, P., & Saha, S. (2018) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2018.12.015 · Cited by 14
Alternative Splicing of MXD3 and Its Regulation of MXD3 Levels in Glioblastoma
Ngo, T., Corrales, A., Bourne, T., Elmojahid, S., Lam, K. S., & Dı́az, E. (2019) · Frontiers in Molecular Biosciences · doi:10.3389/fmolb.2019.00005 · Cited by 14
Whyteside, A. R., Turner, A. J., & Lambert, D. (2014) · PLoS ONE · doi:10.1371/journal.pone.0083260 · Cited by 14
Knockout of miR-221 and miR-222 reveals common and specific targets for paralogous miRNAs
Jeong, G. H., Lim, Y.-H., Kim, N. J., Wee, G., & Kim, Y. (2016) · RNA Biology · doi:10.1080/15476286.2016.1269994 · Cited by 14
Dysfunctional transcripts are formed by alternative polyadenylation in OPMD
Raz, V., Dickson, G., & Hoen, P. A. C. ’. (2017) · Oncotarget · doi:10.18632/oncotarget.20640 · Cited by 14
Parambil, S. A., & Laishram, R. S. (2017) · Molecular and Cellular Biology · doi:10.1128/mcb.00457-17 · Cited by 14
Alteration in microRNA‐17‐92 dynamics accounts for differential nature of cellular proliferation
Sengupta, D., Govindaraj, V., & Kar, S. (2018) · FEBS Letters · doi:10.1002/1873-3468.12974 · Cited by 14
Salehin, M., & Estelle, M. A. (2015) · Cell · doi:10.1016/j.cell.2015.10.032 · Cited by 14
Berry, C. W., Olivares, G. H., Gallicchio, L., Ramaswami, G., Glavic, Á., Olguı́n, P., Li, J. B., & Fuller, M. T. (2022) · Genes & Development · doi:10.1101/gad.349689.122 · Cited by 14
Alternative polyadenylation in cancer: Molecular mechanisms and clinical application
Zhang, Y., Huang, Z., Lu, W., & Liu, Z. (2024) · Critical Reviews in Oncology/Hematology · doi:10.1016/j.critrevonc.2024.104599 · Cited by 13
FilTar: using RNA-Seq data to improve microRNA target prediction accuracy in animals
Bradley, T., & Moxon, S. (2020) · Bioinformatics · doi:10.1093/bioinformatics/btaa007 · Cited by 13
Huang, K., Zhang, Y., Shi, X., Yin, Z., Zhao, W., Huang, L., Wang, F., & Zhou, X. (2023) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2023.08.005 · Cited by 14
PABPN1 loss-of-function causes APA-shift in oculopharyngeal muscular dystrophy
Shademan, M., Mei, H., van Engelen, B. G. M., Ariyürek, Y., Kloet, S. L., & Raz, V. (2024) · Human Genetics and Genomics Advances · doi:10.1016/j.xhgg.2024.100269 · Cited by 13
Viral miRNA targeting of bicistronic and polycistronic transcripts
Zhu, Y., Huang, Y., Jung, J. U., Lu, C., & Gao, S. (2014) · Current Opinion in Virology · doi:10.1016/j.coviro.2014.04.004 · Cited by 12
Banerjee, T. D., Ramos, D., & Monteiro, A. (2020) · Frontiers in Ecology and Evolution · doi:10.3389/fevo.2020.00227 · Cited by 11
Shortening of HO1 3′UTRs by Alternative Polyadenylation Suppresses Adipogenesis in 3T3-L1
Cui, J., Li, C., Cui, X., Liu, X., Meng, C., & Zhou, G. (2021) · Journal of Agricultural and Food Chemistry · doi:10.1021/acs.jafc.1c01822 · Cited by 13
Tonquèze, O. L., Lee, J., & Vasudevan, S. (2012) · RNA Biology · doi:10.4161/rna.20806 · Cited by 16
The landscape of alternative splicing in buccal mucosa squamous cell carcinoma
Shah, T. M., Patel, A. K., Bhatt, V. D., Tripathi, A. K., Shah, S., Shankar, V., & Joshi, C. G. (2013) · Oral Oncology · doi:10.1016/j.oraloncology.2013.03.431 · Cited by 13
Alternative polyadenylation can regulate post-translational membrane localization.
Mitra, M., Johnson, E. L., & Coller, H. A. (2015) · PubMed · Cited by 13
Wang, H., Li, R., Zhou, X., Xue, L., Xu, X., & Liu, B. (2016) · Scientific Reports · doi:10.1038/srep36388 · Cited by 13
Cellular Localization and Regulation of Expression of the PLET1 Gene in Porcine Placenta
Liu, T., Hong, L., Liu, R., Chen, R., Li, X., & Yu, M. (2016) · International Journal of Molecular Sciences · doi:10.3390/ijms17122048 · Cited by 13
Wu, Q., Ferry, Q. R. V., Baeumler, T. A., Michaels, Y. S., Vitsios, D., Habib, O., Arnold, R. R., Jiang, X., Maio, S., Steinkraus, B. R., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-00686-2 · Cited by 13
Bürri, D., & Zavolan, M. (2021) · RNA · doi:10.1261/rna.078886.121 · Cited by 14
mRNA isoform balance in neuronal development and disease
LaForce, G. R., Philippidou, P., & Schaffer, A. E. (2022) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1762 · Cited by 15
Homa, N. J., Salinas, R., Forte, E., Robinson, T. J., García-Blanco, M. A., & Luftig, M. A. (2013) · Journal of Virology · doi:10.1128/jvi.02464-13 · Cited by 13
Regulation of CYP24 splicing by 1,25-dihydroxyvitamin D3 in human colon cancer cells
Peng, X., Tiwari, N., Roy, S., Yuan, L., Murillo, G., Mehta, R. R., Benya, R. V., & Mehta, R. G. (2011) · Journal of Endocrinology · doi:10.1530/joe-11-0305 · Cited by 13
Huang, G., Huang, S., Wang, R., Yan, X., Li, Y., Feng, Y., Wang, S., Yang, X., Chen, L., Li, J., et al. (2015) · The Journal of Immunology · doi:10.4049/jimmunol.1500847 · Cited by 13
3’UTR cleavage of transcripts localized in axons of sympathetic neuronsPreprint
Andreassi, C., Luisier, R., Crerar, H., Blokzijl-Franke, S., Luscombe, N. M., Cuda, G., Gaspari, M., & Riccio, A. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/170100 · Cited by 15
3′ UTRs Regulate Protein Functions by Providing a Nurturing Niche during Protein SynthesisPreprint
Mayr, C. (2019) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2019.84.039206 · Cited by 13
Self-citationVodička, P., Pardini, B., Vymetalkova, V. P., & Naccarati, A. (2016) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-42059-2_7 · Cited by 12
Sequential Polyadenylation to Enable Alternative mRNA 3’ End Formation
Hao, Y., Cai, T., Liu, C., Zhang, X., & Fu, X. (2023) · Molecules and Cells · doi:10.14348/molcells.2023.2176 · Cited by 12
Cacioppo, R., Akman, H. B., Tuncer, T., Erson-Bensan, A. E., & Lindon, C. (2023) · eLife · doi:10.7554/elife.87253 · Cited by 15
Xiong, M., Liu, C., Li, W., Jiang, H., Long, W., Zhou, M., Yang, C., Kazobinka, G., Sun, Y., Zhao, J., et al. (2023) · Carcinogenesis · doi:10.1093/carcin/bgad049 · Cited by 12
Quattrocchi, A., Cappelli, L. V., Simone, G. D., Marinis, E. D., Gentile, M., Gasperi, T., Pulsoni, A., Ascenzi, P., & Nervi, C. (2023) · Aspects of Molecular Medicine · doi:10.1016/j.amolm.2023.100023 · Cited by 12
Poly(A) tale: From A to A; RNA polyadenylation in prokaryotes and eukaryotes
Mofayezi, A., Jadaliha, M., Zangeneh, F., & Khoddami, V. (2024) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1837 · Cited by 12
Chromatin regulates alternative polyadenylation via the RNA polymerase II elongation rate
Geisberg, J. V., Moqtaderi, Z., & Struhl, K. (2024) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2405827121 · Cited by 12
PP4 deficiency leads to DNA replication stress that impairs immunoglobulin class switch efficiency
Chen, M., Hsu, W.-C., Hsu, S., Yang, Y.-S., Chuang, T., Lin, W., Tan, T., & Su, Y. (2018) · Cell Death and Differentiation · doi:10.1038/s41418-018-0199-z · Cited by 12
Zhao, H., Liu, F., Lu, Y., Jin, L. J., Tan, S., Zhang, Y., & Li, C.-P. (2019) · Sensors and Actuators B Chemical · doi:10.1016/j.snb.2019.01.071 · Cited by 12
Multifaceted control of mRNA translation machinery in cancer
Alboushi, L., Hackett, A. P., Naeli, P., Bakhti, M., & Jafarnejad, S. M. (2021) · Cellular Signalling · doi:10.1016/j.cellsig.2021.110037 · Cited by 13
Cancer research: A hurdle race
Lichtenstein, A. V. (2014) · Biochemistry (Moscow) · doi:10.1134/s0006297914050010 · Cited by 12
Hamaya, Y., Kuriyama, S., Takai, T., Yoshida, K.-I., Yamada, T., Sugimoto, M., Osawa, S., Sugimoto, K., Miyajima, H., & Kanaoka, S. (2012) · Clinical and Translational Gastroenterology · doi:10.1038/ctg.2012.12 · Cited by 12
Cis-acting elements in its 3′ UTR mediate post-transcriptional regulation ofKRAS
Kim, M., Kogan, N., & Slack, F. J. (2016) · Oncotarget · doi:10.18632/oncotarget.7599 · Cited by 12
Genome-wide atlas of alternative polyadenylation in the forage legume red clover
Chakrabarti, M., Dinkins, R. D., & Hunt, A. G. (2018) · Scientific Reports · doi:10.1038/s41598-018-29699-7 · Cited by 12
Harrison, B. J., Park, J. W., Gomes, C., Petruska, J. C., Sapio, M. R., Iadarola, M. J., Chariker, J. H., & Rouchka, E. C. (2019) · Frontiers in Genetics · doi:10.3389/fgene.2019.00182 · Cited by 12
Emmerich, A. C., Wellstein, J., Ossipova, E., Baumann, I., Lengqvist, J., Kultima, K., Jakobsson, P., Steinhilber, D., & Saul, M. J. (2020) · Frontiers in Pharmacology · doi:10.3389/fphar.2020.00196 · Cited by 12
Cary, M. P., Podshivalova, K., & Kenyon, C. J. (2020) · G3 Genes Genomes Genetics · doi:10.1534/g3.120.401270 · Cited by 12
3′ Untranslated Regions Are Modular Entities That Determine Polyadenylation Profiles
Lui, K. H., Geisberg, J. V., Moqtaderi, Z., & Struhl, K. (2022) · Molecular and Cellular Biology · doi:10.1128/mcb.00244-22 · Cited by 11
Is Transcription the Dominant Force During Dynamic Changes in Gene Expression?
Turner, M. (2011) · Advances in experimental medicine and biology · doi:10.1007/978-1-4419-5632-3_1 · Cited by 13
Bioinformatics Tools for RNA-seq Gene and Isoform Quantification
Zhang, C., Zhang, B., Vincent, M. S., & Zhao, S. (2016) · Journal of Next Generation Sequencing & Applications · doi:10.4172/2469-9853.1000140 · Cited by 10
The Butterfly Effect of RNA Alterations on Transcriptomic Equilibrium
Desi, N., & Tay, Y. (2019) · Cells · doi:10.3390/cells8121634 · Cited by 12
Chen, F., Zhou, Y., Qi, Y. B., Khivansara, V., Li, H., Chun, S. Y., Kim, J. K., Fu, X., & Jin, Y. (2015) · Genes & Development · doi:10.1101/gad.266650.115 · Cited by 12
Metadata
- Authors
- Mayr, C., & Bartel, D. P.
- Affiliations
- Howard Hughes Medical Institute (US)
- Memorial Sloan Kettering Cancer Center (US)
- Corresponding author
- Mayr, Christine
- Bartel, David P.
- Venue
- Cell
- Publisher
- Elsevier BV
- Published
- 2009-08
- Volume
- 138
- Issue
- 4
- Pages
- 673-684
- ISSN
- 0092-8674 (ISSN-L)
- PMC
- PMC2819821
- OpenAlex
- W1542927170
- Cited by
- 1,613
- References
- 62
- Citations by year
- 2026: 57 · 2025: 60 · 2024: 87 · 2023: 98 · 2022: 99 · 2021: 118 · 2020: 96 · 2019: 95 · 2018: 100 · 2017: 100 · 2016: 87 · 2015: 86 · 2014: 116 · 2013: 129 · 2012: 114
- FWCI
- 37.94
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Cell (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc-sa)
- PMC
- Funders
- Howard Hughes Medical Institute
- National Cancer Institute (P30CA008748)
- National Institute of General Medical Sciences (R01GM067031)
- National Institute of Diabetes and Digestive and Kidney Diseases (R01DK068348)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Keywords
- alternative polyadenylation, mRNA isoforms, oncogene activation, proto-oncogenes, mRNA stability, oncogenic transformation, cancer cells
- MeSH terms
- Proto-Oncogene Mas, Cell Transformation, Neoplastic, Humans, Mutation, Oncogenes, Gene Expression Regulation, Neoplastic, S Phase, Cyclins, RNA-Binding Proteins, Alternative Splicing, 3' Untranslated Regions, RNA Stability, Polyadenylation, Cell Line, Tumor, Cyclin D2
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