Large-scale analysis of genome and transcriptome alterations in multiple tumors unveils novel cancer-relevant splicing networks
Open accessPublished version of a preprint
Abstract
Alternative splicing is regulated by multiple RNA-binding proteins and influences the expression of most eukaryotic genes. However, the role of this process in human disease, and particularly in cancer, is only starting to be unveiled. We systematically analyzed mutation, copy number, and gene expression patterns of 1348 RNA-binding protein (RBP) genes in 11 solid tumor types, together with alternative splicing changes in these tumors and the enrichment of binding motifs in the alternatively spliced sequences. Our comprehensive study reveals widespread alterations in the expression of RBP genes, as well as novel mutations and copy number variations in association with multiple alternative splicing changes in cancer drivers and oncogenic pathways. Remarkably, the altered splicing patterns in several tumor types recapitulate those of undifferentiated cells. These patterns are predicted to be mainly controlled by MBNL1 and involve multiple cancer drivers, including the mitotic gene NUMA1 . We show that NUMA1 alternative splicing induces enhanced cell proliferation and centrosome amplification in nontumorigenic mammary epithelial cells. Our study uncovers novel splicing networks that potentially contribute to cancer development and progression.
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
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?
48 DS genes (10%) encode RNA binding proteins or splicing factors, and at least six splicing factors also showed DTE.
“Notably, 48 DS genes (10%; FDR=8.8×10−4) encode RNA binding proteins or splicing factors (34), with at least six splicing factors also showing DTE in ASD (MATR3), SCZ (QKI, RBM3, SRRM2, U2AF1) or both (SRSF11).”
From Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder (2018) · cites this paper as [34]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
PD-1 and PD-L1 Immune Checkpoint Blockade to Treat Breast Cancer
Hartkopf, A. D., Taran, F., Wallwiener, M., Walter, C. B., Krämer, B., Grischke, E., & Brucker, S. Y. (2016) · Breast Care · doi:10.1159/000453569 · Cited by 30,989 · see citing works
The Molecular Signatures Database Hallmark Gene Set Collection
Liberzon, A., Birger, C., Thorvaldsdóttir, H., Ghandi, M., Mesirov, J. P., & Tamayo, P. (2015) · Cell Systems · doi:10.1016/j.cels.2015.12.004 · Cited by 13,807 · see citing works
Nishimura, R., Osako, T., Nishiyama, Y., Tashima, R., Nakano, M., Fujisue, M., Toyozumi, Y., & Arima, N. (2013) · Oncology · doi:10.1159/000353099 · Cited by 13,239 · see citing works
Comprehensive molecular portraits of human breast tumours
The Cancer Genome Atlas Network (2012) · Nature · doi:10.1038/nature11412 · Cited by 12,129 · see citing works
Finding community structure in very large networks
Clauset, A., Newman, M. E. J., & Moore, C. (2004) · Physical Review E · doi:10.1103/physreve.70.066111 · Cited by 7,390 · see citing works
Sparse inverse covariance estimation with the graphical lasso
Friedman, J., Hastie, T., & Tibshirani, R. (2008) · Biostatistics · doi:10.1093/biostatistics/kxm045 · Cited by 6,355 · see citing works
voom: precision weights unlock linear model analysis tools for RNA-seq read counts
Law, C. W., Chen, Y., Shi, W., & Smyth, G. K. (2014) · Genome Biology · doi:10.1186/gb-2014-15-2-r29 · Cited by 6,155 · see citing works
limma: Linear Models for Microarray Data
Smyth, G. K. (2005) · Statistics for Biology and Health · doi:10.1007/0-387-29362-0_23 · Cited by 5,796 · see citing works
Fitting a mixture model by expectation maximization to discover motifs in biopolymers.
Bailey, T. L., & Elkan, C. (1994) · PubMed · Cited by 4,933 · see citing works
Comprehensive genomic characterization of head and neck squamous cell carcinomas
The Cancer Genome Atlas Network (2015) · Nature · doi:10.1038/nature14129 · Cited by 4,063 · see citing works
Comprehensive genomic characterization of squamous cell lung cancers
The Cancer Genome Atlas Research Network (2012) · Nature · doi:10.1038/nature11404 · Cited by 3,994 · see citing works
Insights into RNA Biology from an Atlas of Mammalian mRNA-Binding Proteins
Castello, A., Fischer, B., Eichelbaum, K., Horos, R., Beckmann, B. M., Strein, C., Davey, N. E., Humphreys, D. T., Preiss, T., Steinmetz, L. M., et al. (2012) · Cell · doi:10.1016/j.cell.2012.04.031 · Cited by 2,132 · see citing works
Frequent pathway mutations of splicing machinery in myelodysplasia
Yoshida, K., Sanada, M., Shiraishi, Y., Nowak, D., Nagata, Y., Yamamoto, R., Sato, Y., Sato-Otsubo, A., Kon, A., Nagasaki, M., et al. (2011) · Nature · doi:10.1038/nature10496 · Cited by 2,029 · see citing works
Dosztányi, Z., Csizmók, V., Tompa, P., & Simon, I. (2005) · Computer applications in the biosciences · doi:10.1093/bioinformatics/bti541 · Cited by 1,943 · see citing works
Mapping the Hallmarks of Lung Adenocarcinoma with Massively Parallel Sequencing
Imielinski, M., Berger, A. H., Hammerman, P. S., Hernandez, B., Pugh, T. J., Hodis, E., Cho, J., Suh, J., Capelletti, M., Sivachenko, A., et al. (2012) · Cell · doi:10.1016/j.cell.2012.08.029 · Cited by 1,789 · see citing works
Hoadley, K. A., Yau, C. S. F., Wolf, D. M., Cherniack, A. D., Tamborero, D., Ng, S., Leiserson, M. D. M., Niu, B., McLellan, M. D., Uzunangelov, V., et al. (2014) · Cell · doi:10.1016/j.cell.2014.06.049 · Cited by 1,500 · see citing works
A compendium of RNA-binding motifs for decoding gene regulation
Ray, D., Kazan, H., Cook, K. B., Weirauch, M. T., Najafabadi, H. S., Li, X., Gueroussov, S., Albu, M., Zheng, H., Yang, A., et al. (2013) · Nature · doi:10.1038/nature12311 · Cited by 1,480 · cited 3× · see citing works
“RNA binding motif enrichment RNAcompete motifs (Ray et al. 2013) were used for analysis.”
MethodInfluentialCarter, S. L., Eklund, A. C., Kohane, I. S., Harris, L. N., & Szállási, Z. (2006) · Nature Genetics · doi:10.1038/ng1861 · Cited by 1,199 · see citing works
The mRNA-Bound Proteome and Its Global Occupancy Profile on Protein-Coding Transcripts
Baltz, A. G., Munschauer, M., Schwanhäußer, B., Vasile, A. I., Murakawa, Y., Schueler, M., Youngs, N., Penfold-Brown, D., Drew, K., Milek, M., et al. (2012) · Molecular Cell · doi:10.1016/j.molcel.2012.05.021 · Cited by 1,175 · see citing works
Cunningham, F., Amode, M. R., Barrell, D., Beal, K., Billis, K., Brent, S., Carvalho-Silva, D., Clapham, P., Coates, G., Fitzgerald, S., et al. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1010 · Cited by 1,115 · see citing works
Whole-genome analysis informs breast cancer response to aromatase inhibition
Ellis, M. J., Ding, L., Shen, D., Luo, J. R., Suman, V. J., Wallis, J. W., Tine, B. A. V., Hoog, J., Goiffon, R., Goldstein, T. C., et al. (2012) · Nature · doi:10.1038/nature11143 · Cited by 1,023 · see citing works
The gene encoding the splicing factor SF2/ASF is a proto-oncogene
Karni, R., de Stanchina, E., Lowe, S. W., Sinha, R., Mu, D., & Krainer, A. R. (2007) · Nature Structural & Molecular Biology · doi:10.1038/nsmb1209 · Cited by 935 · see citing works
Hallmarks of alternative splicing in cancer
Oltean, S., & Bates, D. O. (2013) · Oncogene · doi:10.1038/onc.2013.533 · Cited by 653 · see citing works
SRSF2 Mutations Contribute to Myelodysplasia by Mutant-Specific Effects on Exon Recognition
Kim, E., Ilagan, J. O., Liang, Y., Daubner, G. M., Lee, S. C.-W., Ramakrishnan, A., Li, Y., Chung, Y. R., Micol, J.-B., Murphy, M. E., et al. (2015) · Cancer Cell · doi:10.1016/j.ccell.2015.04.006 · Cited by 575 · see citing works
Darman, R. B., Seiler, M., Agrawal, A. A., Lim, K., Peng, S., Aird, D. R., Bailey, S., Bhavsar, E. B., Chan, B., Colla, S., et al. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.09.053 · Cited by 455 · see citing works
The RNA-binding protein repertoire of embryonic stem cells
Kwon, S. C., Yi, H., Eichelbaum, K., Föehr, S., Fischer, B., You, K. T., Castelló, A., Krijgsveld, J., Hentze, M. W., & Kim, V. N. (2013) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2638 · Cited by 451 · see citing works
Cell Motility Is Controlled by SF2/ASF through Alternative Splicing of the Ron Protooncogene
Ghigna, C., Giordano, S., Shen, H., Benvenuto, F., Castiglioni, F., Comoglio, P. M., Green, M. R., Riva, S., & Biamonti, G. (2005) · Molecular Cell · doi:10.1016/j.molcel.2005.10.026 · Cited by 389 · see citing works
Bechara, E., Sebestyén, E., Bernardis, I., Eyras, E., & Valcárcel, J. (2013) · Molecular Cell · doi:10.1016/j.molcel.2013.11.010 · Cited by 374 · see citing works
Self-citationMBNL proteins repress ES-cell-specific alternative splicing and reprogramming
Han, H. R., Irimia, M., Ross, P. J., Sung, H., Alipanahi, B., David, L., Golipour, A., Gabut, M., Michael, I. P., Nachman, E. N., et al. (2013) · Nature · doi:10.1038/nature12270 · Cited by 326 · see citing works
Leveraging transcript quantification for fast computation of alternative splicing profiles
Alamancos, G. P., Pagès, A., Trincado, J. L., Bellora, N., & Eyras, E. (2015) · RNA · doi:10.1261/rna.051557.115 · Cited by 277 · see citing works
Self-citationXue, Y., Liu, Z., Cao, J., Ma, Q., Gao, X., Wang, Q., Jin, C., Zhou, Y., Wen, L., & Ren, J. M. (2010) · Protein Engineering Design and Selection · doi:10.1093/protein/gzq094 · Cited by 246 · see citing works
The RNA-Binding Protein QKI Suppresses Cancer-Associated Aberrant Splicing
Zong, F.-Y., Fu, X., Wei, W., Luo, Y.-G., Heiner, M., Cao, L., Fang, Z., Fang, R., Lu, D., Ji, H., et al. (2014) · PLoS Genetics · doi:10.1371/journal.pgen.1004289 · Cited by 235 · see citing works
Golan‐Gerstl, R., Cohen, M., Shilo, A., Suh, S., Bakàcs, A., Coppola, L., & Karni, R. (2011) · Cancer Research · doi:10.1158/0008-5472.can-10-4410 · Cited by 232 · see citing works
Wang, Y., Chen, D., Qian, H., Tsai, Y., Shao, S., Liu, Q., Dominguez, D., & Wang, Z. (2014) · Cancer Cell · doi:10.1016/j.ccr.2014.07.010 · Cited by 224 · see citing works
SRp20 is a proto-oncogene critical for cell proliferation and tumor induction and maintenance
Jia, R., Li, C., McCoy, J. P., Deng, C., & Zheng, Z. (2010) · International Journal of Biological Sciences · doi:10.7150/ijbs.6.806 · Cited by 206 · see citing works
LGN regulates mitotic spindle orientation during epithelial morphogenesis
Zheng, Z., Zhu, H., Wan, Q., Liu, J., Xiao, Z., Siderovski, D. P., & Du, Q. (2010) · The Journal of Cell Biology · doi:10.1083/jcb.200910021 · Cited by 179 · see citing works
SF3B1 mutations constitute a novel therapeutic target in breast cancer
Maguire, S. L., Leonidou, A., Wai, P. T., Marchiò, C., Ng, C. K. Y., Sapino, A., Vincent‐Salomon, A., Reis-Filho, J. S., Weigelt, B., & Natrajan, R. (2014) · The Journal of Pathology · doi:10.1002/path.4483 · Cited by 175 · see citing works
Sebestyén, E., Zawisza-Álvarez, M., & Eyras, E. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1392 · Cited by 173 · see citing works
Self-citationBrooks, A. N., Choi, P. S., de Waal, L. M., Sharifnia, T., Imielinski, M. B., Saksena, G., Pedamallu, C. S., Sivachenko, A., Rosenberg, M. W., Chmielecki, J., et al. (2014) · PLoS ONE · doi:10.1371/journal.pone.0087361 · Cited by 171 · see citing works
Misquitta-Ali, C. M., Cheng, E., O’Hanlon, D., Liu, G., McGlade, C. J., Tsao, M., & Blencowe, B. J. (2010) · Molecular and Cellular Biology · doi:10.1128/mcb.00709-10 · Cited by 160 · see citing works
Xiao, R., Sun, Y., Ding, J., Lin, S., Rose, D. W., Rosenfeld, M. G., Fu, X., & Li, X. (2007) · Molecular and Cellular Biology · doi:10.1128/mcb.00288-07 · Cited by 159 · see citing works
Splicing factor SRSF6 promotes hyperplasia of sensitized skin
Jensen, M. A., Wilkinson, J. E., & Krainer, A. R. (2014) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2756 · Cited by 143 · see citing works
Vanharanta, S., Marney, C. B., Shu, W., Valiente, M., Zou, Y., Mele, A., Darnell, R. B., & Massagué, J. (2014) · eLife · doi:10.7554/elife.02734 · Cited by 143 · see citing works
Building Robust Transcriptomes with Master Splicing Factors
Jangi, M., & Sharp, P. A. (2014) · Cell · doi:10.1016/j.cell.2014.09.054 · Cited by 141 · see citing works
Venables, J. P., Lapasset, L., Gadea, G., Fort, P., Klinck, R., Irimia, M., Vignal, E., Thibault, P., Prinos, P., Chabot, B., et al. (2013) · Nature Communications · doi:10.1038/ncomms3480 · Cited by 140 · see citing works
Watermann, D. O., Tang, Y., Hausen, A. Z., Jäger, M., Stamm, S., & Stickeler, E. (2006) · Cancer Research · doi:10.1158/0008-5472.can-04-3294 · Cited by 128 · see citing works
Goehe, R. W., Shultz, J. C., Murudkar, C. S., Usanovic, S., Lamour, N. F., Massey, D. H., Zhang, L., Camidge, D. R., Shay, J. W., Minna, J. D., et al. (2010) · Journal of Clinical Investigation · doi:10.1172/jci43552 · Cited by 119 · see citing works
NuMA phosphorylation by CDK1 couples mitotic progression with cortical dynein function
Kotak, S., Busso, C., & Gönczy, P. (2013) · The EMBO Journal · doi:10.1038/emboj.2013.172 · Cited by 112 · see citing works
Alló, M., Agirre, E., Bessonov, S., Bertucci, P., Acuña, L. I. G., Buggiano, V., Bellora, N., Singh, B., Petrillo, E., Blaustein, M., et al. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1416858111 · Cited by 98 · see citing works
Self-citationFunctional Variants in Cell Death Pathway Genes and Risk of Pancreatic Cancer
Yang, M., Sun, T., Wang, L., Yu, D., Zhang, X., Miao, X., Liu, J., Zhao, D., Li, H., Tan, W., et al. (2008) · Clinical Cancer Research · doi:10.1158/1078-0432.ccr-08-0177 · Cited by 89 · see citing works
The multi‐functional serpin, protein C inhibitor: beyond thrombosis and hemostasis
Suzuki, K. (2008) · Journal of Thrombosis and Haemostasis · doi:10.1111/j.1538-7836.2008.03181.x · Cited by 64 · see citing works
Best, A. J., James, K., Dalgliesh, C., Hong, E., Chadegani, M. K., Curk, T., Xu, Y., Danilenko, M., Hussain, R., Keavney, B. D., et al. (2014) · Nature Communications · doi:10.1038/ncomms5760 · Cited by 64 · see citing works
Association of the NuMA region on chromosome 11q13 with breast cancer susceptibility
Kammerer, S., Roth, R. B., Hoyal, C. R., Reneland, R., Marnellos, G., Kiechle, M. B., Schwarz-Boeger, U., Griffiths, L. R., Ebner, F., Rehbock, J., et al. (2005) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0409806102 · Cited by 50 · see citing works
Huang, C., Shen, C., Wang, H.-W., Wu, P., & Cheng, C. (2007) · Clinica Chimica Acta · doi:10.1016/j.cca.2007.06.001 · Cited by 46 · see citing works
Discovery of a Splicing Regulator Required for Cell Cycle Progression
Suvorova, E. S., Croken, M. M., Kratzer, S., Ting, L.-M., de Felipe, M. C., Balu, B., Markillie, L. M., Weiss, L. M., Kim, K., & White, M. W. (2013) · PLoS Genetics · doi:10.1371/journal.pgen.1003305 · Cited by 40 · see citing works
Crosstalk between Wnt Signaling and RNA Processing in Colorectal Cancer
Bordonaro, M. (2013) · Journal of Cancer · doi:10.7150/jca.5470 · Cited by 40 · see citing works
Dorman, S., Viner, C., & Rogan, P. K. (2014) · Scientific Reports · doi:10.1038/srep07063 · Cited by 33 · see citing works
SRSF2 promotes splicing and transcription of exon 11 included isoform in Ron proto-oncogene
Moon, H., Cho, S., Loh, T. J., Oh, H. K., Jang, H. N., Zhou, J., Kwon, Y.-S., Liao, D. J., Jun, Y., Eom, S.-H., et al. (2014) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2014.09.003 · Cited by 26 · see citing works
Weems, J. M., & Klemke, R. L. (2011) · Cancer Research · doi:10.1158/1538-7445.am2011-4464 · Cited by 8 · see citing works
Vanharanta, S., Marney, C. B., Shu, W., Valiente, M., Zou, Y., Mele, A., Darnell, R. B., & Massagué, J. (2014) · eLife · doi:10.7554/elife.02734.023 · Cited by 4 · see citing works
The Potential of Targeting Splicing for Cancer Therapy
Grosso, A. R., & Carmo‐Fonseca, M. (2013) · Cancer drug discovery and develogment/Cancer drug discovery and development · doi:10.1007/978-1-4614-8039-6_13 · Cited by 3 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Transcriptome-wide isoform-level dysregulation in ASD, schizophrenia, and bipolar disorder
Gandal, M. J., Zhang, P., Hadjimichael, E., Walker, R. L., Chen, C., Liu, S., Won, H., van Bakel, H., Varghese, M., Wang, Y., et al. (2018) · Science · doi:10.1126/science.aat8127 · Cited by 1,247 · see citing works
RNA-Binding Proteins in Cancer: Old Players and New Actors
Pereira, B., Billaud, M., & Almeida, R. (2017) · Trends in cancer · doi:10.1016/j.trecan.2017.05.003 · Cited by 765 · see citing works
Roles and mechanisms of alternative splicing in cancer — implications for care
Bonnal, S., López‐Oreja, I., & Valcárcel, J. (2020) · Nature Reviews Clinical Oncology · doi:10.1038/s41571-020-0350-x · Cited by 741 · see citing works
Self-citationTrincado, J. L., Entizne, J. C., Hysenaj, G., Singh, B., Škalič, M., Elliott, D. J., & Eyras, E. (2018) · Genome biology · doi:10.1186/s13059-018-1417-1 · Cited by 707 · see citing works
Self-citationRNA splicing dysregulation and the hallmarks of cancer
Bradley, R. K., & Anczuków, O. (2023) · Nature Reviews Cancer · doi:10.1038/s41568-022-00541-7 · Cited by 579 · see citing works
Stem cell programs in cancer initiation, progression, and therapy resistance
Huang, T., Song, X., Xu, D., Tiek, D., Goenka, A., Wu, B., Sastry, N., Hu, B., & Cheng, S.-Y. (2020) · Theranostics · doi:10.7150/thno.41648 · Cited by 524 · see citing works
The Functional Impact of Alternative Splicing in Cancer
Climente-González, H., Porta‐Pardo, E., Godzik, A., & Eyras, E. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.08.012 · Cited by 546 · see citing works
Self-citationTapial, J., Ha, K., Sterne-Weiler, T., Gohr, A., Braunschweig, U., Hermoso, A., Quesnel-Vallières, M., Permanyer, J., Sodaei, R., Márquez, Y., et al. (2017) · Genome Research · doi:10.1101/gr.220962.117 · Cited by 427 · see citing works
Seiler, M., Peng, S., Agrawal, A. A., Palacino, J. J., Teng, T., Zhu, P., Smith, P. G., Johnson, R., Demchok, J. A., Felau, I., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.01.088 · Cited by 438 · see citing works
Urbanski, L. M., Leclair, N. K., & Anczuków, O. (2018) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1476 · Cited by 381 · see citing works
Targeting an RNA-Binding Protein Network in Acute Myeloid Leukemia
Wang, E., Lu, S. X., Pastore, A., Chen, X., Imig, J., Chun-Wei Lee, S., Hockemeyer, K., Ghebrechristos, Y. E., Yoshimi, A., Inoue, D., et al. (2019) · Cancer Cell · doi:10.1016/j.ccell.2019.01.010 · Cited by 338 · see citing works
Pradella, D., Naro, C., Sette, C., & Ghigna, C. (2017) · Molecular Cancer · doi:10.1186/s12943-016-0579-2 · Cited by 325 · see citing works
Antitumour dendritic cell vaccination in a priming and boosting approach
Harari, A., Graciotti, M., Bassani‐Sternberg, M., & Kandalaft, L. E. (2020) · Nature Reviews Drug Discovery · doi:10.1038/s41573-020-0074-8 · Cited by 271 · see citing works
Alternative mRNA splicing in cancer immunotherapy
Frankiw, L., Baltimore, D., & Li, G. (2019) · Nature reviews. Immunology · doi:10.1038/s41577-019-0195-7 · Cited by 248 · see citing works
Wang, E., & Aifantis, I. (2020) · Trends in cancer · doi:10.1016/j.trecan.2020.04.011 · Cited by 242 · see citing works
Systematic Analysis of Splice-Site-Creating Mutations in Cancer
Jayasinghe, R. G., Cao, S., Gao, Q., Wendl, M. C., Vo, N. S., Reynolds, S. M., Zhao, Y., Climente-González, H., Chai, S., Wang, F., et al. (2018) · Cell Reports · doi:10.1016/j.celrep.2018.03.052 · Cited by 241 · see citing works
Chen, H., Yao, J., Bao, R., Dong, Y., Zhang, T., Du, Y., Wang, G., Ni, D., Xun, Z., Niu, X., et al. (2021) · Molecular Cancer · doi:10.1186/s12943-021-01322-w · Cited by 232 · see citing works
Identification of tumor antigens with immunopeptidomics
Chong, C., Coukos, G., & Bassani‐Sternberg, M. (2021) · Nature Biotechnology · doi:10.1038/s41587-021-01038-8 · Cited by 229 · see citing works
Sterne-Weiler, T., Weatheritt, R. J., Best, A. J., Ha, K., & Blencowe, B. J. (2018) · Molecular Cell · doi:10.1016/j.molcel.2018.08.018 · Cited by 214 · see citing works
Comprehensive Genomic Characterization of RNA-Binding Proteins across Human Cancers
Wang, Z., Li, B., Luo, Y.-X., Lin, Q., Liu, S., Zhang, X., Zhou, H., Yang, J., & Qu, L. (2018) · Cell Reports · doi:10.1016/j.celrep.2017.12.035 · Cited by 205 · see citing works
Leclair, N. K., Brugiolo, M., Urbanski, L. M., Lawson, S. C., Thakar, K., Yurieva, M., George, J., Hinson, J. T., Cheng, A. W., Graveley, B. R., et al. (2020) · Molecular Cell · doi:10.1016/j.molcel.2020.10.019 · Cited by 150 · see citing works
IGF2BP3 From Physiology to Cancer: Novel Discoveries, Unsolved Issues, and Future Perspectives
Mancarella, C., & Scotlandi, K. (2020) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2019.00363 · Cited by 161 · see citing works
RNA Binding Protein as an Emerging Therapeutic Target for Cancer Prevention and Treatment
Hong, S. (2017) · Journal of Cancer Prevention · doi:10.15430/jcp.2017.22.4.203 · Cited by 147 · see citing works
Zhang, D., Hu, Q., Liu, X., Ji, Y., Chao, H., Liu, Y., Tracz, A., Kirk, J. S., Buonamici, S., Zhu, P., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-15815-7 · Cited by 136 · see citing works
Song, W., Ren, J., Xiang, R., Kong, C., & Fu, T. (2021) · OncoImmunology · doi:10.1080/2162402x.2021.1987636 · Cited by 134 · see citing works
Alternative splicing: the pledge, the turn, and the prestige
Gallego-Paez, L. M., Bordone, M. C., Leote, A. C., Saraiva-Agostinho, N., Ascensão-Ferreira, M., & Barbosa‐Morais, N. L. (2017) · Human Genetics · doi:10.1007/s00439-017-1790-y · Cited by 133 · see citing works
Emerging roles of spliceosome in cancer and immunity
Yang, H., Beutler, B., & Zhang, D. (2021) · Protein & Cell · doi:10.1007/s13238-021-00856-5 · Cited by 134 · see citing works
Liao, J., Yang, B., Zhang, Y., Wang, X., Ye, Y., Peng, J.-W., Yang, Z.-Z., He, J., Zhang, Y., Hu, K., et al. (2019) · Nucleic Acids Research · doi:10.1093/nar/gkz823 · Cited by 122 · see citing works
RNA editing-dependent epitranscriptome diversity in cancer stem cells
Jiang, Q., Crews, L. A., Holm, F., & Jamieson, C. H. M. (2017) · Nature reviews. Cancer · doi:10.1038/nrc.2017.23 · Cited by 120 · see citing works
Zhou, H., Fan, L., Cheng, S., Xu, Y., Deng, H., Gu, D., Wang, J., Chen, W., Zhou, Y., Yang, M., et al. (2021) · Hepatology · doi:10.1002/hep.32195 · Cited by 117 · see citing works
Wanted DEAD/H or Alive: Helicases Winding Up in Cancers
Cai, W., Chen, Z.-X., Rane, G., Singh, S. S., Choo, Z., Wang, C., Yuan, Y., Tan, T. Z., Arfuso, F., Yap, C., et al. (2017) · Journal of the National Cancer Institute · doi:10.1093/jnci/djw278 · Cited by 114 · see citing works
Qiu, P., Zhou, Y., Oyang, L., Wu, N., Tang, Y., Su, M., Luo, X., Wang, Y., Sheng, X., Ma, J., et al. (2021) · Molecular Therapy · doi:10.1016/j.ymthe.2021.11.010 · Cited by 103 · see citing works
Song, X., Wan, X., Huang, T., Zeng, C., Sastry, N. G., Wu, B., James, C. D., Horbinski, C., Nakano, I., Zhang, W., et al. (2019) · Cancer Research · doi:10.1158/0008-5472.can-19-1504 · Cited by 96 · see citing works
Guo, Y., Shang, X., & Li, Z. (2018) · Neurocomputing · doi:10.1016/j.neucom.2018.03.072 · Cited by 95 · see citing works
Post-Transcriptional Regulation of Homeostatic, Stressed, and Malignant Stem Cells
Chua, B. A., van der Werf, I. M., Jamieson, C. H. M., & Signer, R. A. J. (2020) · Cell stem cell · doi:10.1016/j.stem.2020.01.005 · Cited by 94 · see citing works
Zhao, J., Sun, Y., Huang, Y., Song, F., Huang, Z., Bao, Y., Zuo, J., Saffen, D. W., Shao, Z., Liu, W., et al. (2017) · Scientific Reports · doi:10.1038/srep40488 · Cited by 90 · see citing works
Glioblastoma vaccines: past, present, and opportunities
Xiong, Z., Raphael, I., Olin, M. R., Okada, H., Li, X., & Kohanbash, G. (2024) · EBioMedicine · doi:10.1016/j.ebiom.2023.104963 · Cited by 90 · see citing works
The role of alternative splicing in cancer
Singh, B., & Eyras, E. (2016) · Transcription · doi:10.1080/21541264.2016.1268245 · Cited by 82 · see citing works
Self-citationZhang, Z., Ye, Y., Gong, J., Ruan, H., Liu, C., Xiang, Y., Cai, C. C., Guo, A., Ling, J., Diao, L., et al. (2018) · Communications Biology · doi:10.1038/s42003-018-0239-8 · Cited by 81 · see citing works
Alternative splicing in lung cancer
Coomer, A. O., Black, F., Greystoke, A., Munkley, J., & Elliott, D. J. (2019) · Biochimica et Biophysica Acta (BBA) - Gene Regulatory Mechanisms · doi:10.1016/j.bbagrm.2019.05.006 · Cited by 78 · see citing works
Targeting splicing abnormalities in cancer
Agrawal, A. A., Yu, L., Smith, P. G., & Buonamici, S. (2017) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2017.10.010 · Cited by 75 · see citing works
Braun, S., Enculescu, M., Setty, S. T., Cortés-López, M., de Almeida, B. P., Sutandy, F. X. R., Schulz, L., Busch, A., Seiler, M., Ebersberger, S., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-05748-7 · Cited by 73 · see citing works
Zhu, Y., Wang, S., Xi, X., Zhang, M., Liu, X., Tang, W., Cai, P., Xing, S., Bao, P., Jin, Y., et al. (2020) · Theranostics · doi:10.7150/thno.48206 · Cited by 75 · see citing works
Guha, M., Srinivasan, S., Raman, P., Jiang, Y., Kaufman, B. A., Taylor, D. M., Dong, D., Chakrabarti, R., Picard, M. A., Carstens, R. P., et al. (2018) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2018.01.002 · Cited by 71 · see citing works
Splicing alterations in healthy aging and disease
Angarola, B. L., & Anczuków, O. (2021) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.1643 · Cited by 69 · see citing works
Pan-cancer analysis of clinical relevance of alternative splicing events in 31 human cancers
Zhang, Y., Yan, L., Zeng, J., Zhou, H., Liu, H., Gan, Y., Yao, W., Chen, K., Ye, Z., & Xu, H. (2019) · Oncogene · doi:10.1038/s41388-019-0910-7 · Cited by 66 · see citing works
Identification of protein features encoded by alternative exons using Exon OntologyPreprint
Tranchevent, L.-C., Aubé, F., Dulaurier, L., Benoit‐Pilven, C., Rey, A., Poret, A., Chautard, É., Mortada, H., Desmet, F.-O., Chakrama, F. Z., et al. (2017) · Genome Research · doi:10.1101/gr.212696.116 · Cited by 64 · see citing works
RNA splicing and splicing regulator changes in prostate cancer pathology
Munkley, J., Livermore, K. E., Rajan, P., & Elliott, D. J. (2017) · Human Genetics · doi:10.1007/s00439-017-1792-9 · Cited by 64 · see citing works
Aberrant splicing in B-cell acute lymphoblastic leukemia
Black, K. L., Naqvi, A. S., Asnani, M., Hayer, K. E., Yang, S. Y., Gillespie, E. B., Bagashev, A., Pillai, V., Tasian, S. K., Gazzara, M. R., et al. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky946 · Cited by 60 · see citing works
MBNL1 alternative splicing isoforms play opposing roles in cancer
Tabaglio, T., Low, D. H. P., Teo, W. K. L., Goy, P.-A. V., Cywoniuk, P., Wollmann, H., Ho, J., Tan, D., Aw, J., Pavesi, A., et al. (2018) · Life Science Alliance · doi:10.26508/lsa.201800157 · Cited by 62 · see citing works
Splicing regulatory factors, ageing and age-related disease
Latorre, E., & Harries, L. W. (2017) · Ageing Research Reviews · doi:10.1016/j.arr.2017.04.004 · Cited by 63 · see citing works
MYC regulates a pan-cancer network of co-expressed oncogenic splicing factors
Urbanski, L. M., Brugiolo, M., Park, S., Angarola, B. L., Leclair, N. K., Yurieva, M., Palmer, P., Sahu, S. K., & Anczuków, O. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111704 · Cited by 56 · see citing works
Jin, X., Liu, L., Jia Rui, W. U., Jin, X., Yu, G., Jia, L., Wang, F., Shi, M., Lu, H., Liu, J., et al. (2021) · Clinical and Translational Medicine · doi:10.1002/ctm2.538 · Cited by 55 · see citing works
Revealing the Determinants of Widespread Alternative Splicing Perturbation in Cancer
Li, Y., Sahni, N., Pancsa, R., McGrail, D. J., Xu, J., Xu, H., Coulombe‐Huntington, J., Ryan, M., Tychhon, B., Sudhakar, D., et al. (2017) · Cell Reports · doi:10.1016/j.celrep.2017.09.071 · Cited by 55 · see citing works
Reixachs‐Solé, M., Ruiz‐Orera, J., Albà, M. M., & Eyras, E. (2020) · Nature Communications · doi:10.1038/s41467-020-15634-w · Cited by 55 · see citing works
Self-citationLiu, Q., Han, M., Wu, Z., Fu, W., Ji, J., Liang, Q., Tan, M., Zhai, L., Gao, J., Shi, D., et al. (2024) · Nature Aging · doi:10.1038/s43587-024-00624-0 · Cited by 54 · see citing works
Targeting the spliceosome machinery: A new therapeutic axis in cancer?
Eymin, B. (2020) · Biochemical Pharmacology · doi:10.1016/j.bcp.2020.114039 · Cited by 54 · see citing works
DDX54 regulates transcriptome dynamics during DNA damage responsePreprint
Milek, M., Imami, K., Mukherjee, N., Bortoli, F. D., Zinnall, U., Hazapis, O. G., Trahan, C., Oeffinger, M., Heyd, F., Ohler, U., et al. (2017) · Genome Research · doi:10.1101/gr.218438.116 · Cited by 54 · see citing works
The Architecture of the Human RNA-Binding Protein Regulatory Network
Quattrone, A., & Dassi, E. (2019) · iScience · doi:10.1016/j.isci.2019.10.058 · Cited by 53 · see citing works
easyCLIP analysis of RNA-protein interactions incorporating absolute quantification
Porter, D. F., Miao, W., Yang, X., Goda, G. A., Ji, A. L., Donohue, L. K. H., Aleman, M. M., Dominguez, D., & Khavari, P. A. (2021) · Nature Communications · doi:10.1038/s41467-021-21623-4 · Cited by 52 · see citing works
López‐Cortés, A., Paz‐y‐Miño, C., Guerrero, S. X., Cabrera‐Andrade, A., Barigye, S. J., Munteanu, C. R., González‐Díaz, H., Pazos, A., Pérez‐Castillo, Y., & Tejera, E. (2020) · Scientific Reports · doi:10.1038/s41598-020-62279-2 · Cited by 55 · see citing works
Zhao, L., Cao, J., Hu, K., Wang, P., Li, G., He, X., Tong, T., & Han, L. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky1209 · Cited by 51 · see citing works
RetractedThe prognostic potential of alternative transcript isoforms across human tumors
Trincado, J. L., Sebestyén, E., Pagés, A., & Eyras, E. (2016) · Genome Medicine · doi:10.1186/s13073-016-0339-3 · Cited by 52 · see citing works
Self-citationFagg, W. S., Liu, N., Fair, J. H., Shiue, L., Katzman, S. J., Donohue, J. P., & Ares, M. (2017) · Genes & Development · doi:10.1101/gad.302059.117 · Cited by 48 · see citing works
Splicing is an alternate oncogenic pathway activation mechanism in glioma
Siddaway, R., Milos, S., Vadivel, A. K. A., Dobson, T., Swaminathan, J., Ryall, S. T., Pajovic, S., Patel, P. G., Nazarian, J., Becher, O. J., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-28253-4 · Cited by 50 · see citing works
Steering research on mRNA splicing in cancer towards clinical translation
Anczuków, O., Allain, F. H. ‐., Angarola, B. L., Black, D. L., Brooks, A. N., Cheng, C., Conesa, A., Crosse, E. I., Eyras, E., Guccione, E., et al. (2024) · Nature reviews. Cancer · doi:10.1038/s41568-024-00750-2 · Cited by 48 · see citing works
Self-citationRBM10: Harmful or helpful‐many factors to consider
Loiselle, J. J., & Sutherland, L. C. (2017) · Journal of Cellular Biochemistry · doi:10.1002/jcb.26644 · Cited by 45 · see citing works
psichomics: graphical application for alternative splicing quantification and analysis
Saraiva-Agostinho, N., & Barbosa‐Morais, N. L. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky888 · Cited by 43 · see citing works
Blijlevens, M., Li, J., & van Beusechem, V. W. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22105110 · Cited by 42 · see citing works
Therapeutic Targeting of Alternative Splicing: A New Frontier in Cancer Treatment
Murphy, A., Li, A. H., Li, P., & Sun, H. (2022) · Frontiers in Oncology · doi:10.3389/fonc.2022.868664 · Cited by 43 · see citing works
Ray, D., Yun, Y. C., Idris, M., Cheng, S., Boot, A., Iain, T. B. H., Rozen, S., Tan, P. B. O., & Epstein, D. M. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2002499117 · Cited by 42 · see citing works
CELF Family Proteins in Cancer: Highlights on the RNA-Binding Protein/Noncoding RNA Regulatory Axis
Aghdam, M. N., Garcia-Garduño, T.-C., & Jave‐Suárez, L. F. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms222011056 · Cited by 40 · see citing works
Anufrieva, K. S., Shender, V. О., Arapidi, G. P., Pavlyukov, M. S., Shakhparonov, M. I., Shnaider, P. V., Butenko, I., Lagarkova, M. A., & Govorun, V. M. (2018) · Genome Medicine · doi:10.1186/s13073-018-0557-y · Cited by 40 · see citing works
Montero‐Conde, C., Graña‐Castro, O., Martín‐Serrano, G., Martínez‐Montes, Á. M., Zarzuela, E., Muñoz, J., Torres‐Pérez, R., Pita, G., Barreal, A. C., Leandro-Garcia, L. J., et al. (2019) · International Journal of Cancer · doi:10.1002/ijc.32622 · Cited by 40 · see citing works
FOXA1 regulates alternative splicing in prostate cancer
Giudice, M. D., Foster, J. G., Peirone, S., Rissone, A., Caizzi, L., Gaudino, F., Parlato, C., Anselmi, F., Arkell, R., Guarrera, S., et al. (2022) · Cell Reports · doi:10.1016/j.celrep.2022.111404 · Cited by 38 · see citing works
Amirkhah, R., Naderi‐Meshkin, H., Shah, J. S., Dunne, P. D., & Schmitz, U. (2019) · Cells · doi:10.3390/cells8080929 · Cited by 39 · see citing works
A pan-cancer analysis of alternative splicing of splicing factors in 6904 patients
Cheng, R., Xiao, L., Zhou, W., Jin, X., Xu, Z., Xu, C., Wang, P., Luo, M., Wang, M., Ma, K., et al. (2021) · Oncogene · doi:10.1038/s41388-021-01947-7 · Cited by 34 · see citing works
ADAR and hnRNPC deficiency synergize in activating endogenous dsRNA-induced type I IFN responses
Herzner, A., Khan, Z., Nostrand, E. L. V., Chan, S. M., Cuellar, T. L., Chen, R., Pechuan-Jorge, X., Kömüves, L. G., Solon, M., Modrusan, Z. D., et al. (2021) · The Journal of Experimental Medicine · doi:10.1084/jem.20201833 · Cited by 34 · see citing works
How do messenger RNA splicing alterations drive myelodysplasia?
Joshi, P. M., Halene, S., & Abdel-Wahab, O. I. (2017) · Blood · doi:10.1182/blood-2017-02-692715 · Cited by 32 · see citing works
Differential RNA splicing as a potentially important driver mechanism in multiple myeloma
Bauer, M., Ashby, C., Wardell, C. P., Boyle, E. M., Ortiz, M., Flynt, E., Thakurta, A., Morgan, G. J., & Walker, B. A. (2020) · Haematologica · doi:10.3324/haematol.2019.235424 · Cited by 33 · see citing works
Lin, K., Ma, W. K., Scharner, J., Liu, Y., & Krainer, A. R. (2018) · Genome Research · doi:10.1101/gr.227181.117 · Cited by 33 · see citing works
Cui, F., Li, S., Zhang, Z., Sui, M., Cao, C., Hesham, A. E., & Zou, Q. (2022) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2022.04.029 · Cited by 32 · see citing works
Jin, P., Tan, Y., Zhang, W., Li, J., & Wang, K. (2020) · Neoplasia · doi:10.1016/j.neo.2020.06.004 · Cited by 31 · see citing works
Voss, D. M., Sloan, A. R., Spina, R., Ames, H. M., & Bar, E. E. (2020) · Cancer Research · doi:10.1158/0008-5472.can-20-1233 · Cited by 31 · see citing works
Carazo, F., Romero, J. P., & Rubio, Á. (2018) · Briefings in Bioinformatics · doi:10.1093/bib/bby005 · Cited by 30 · see citing works
Generation of tumor neoantigens by RNA splicing perturbation
Rosenberg-Mogilevsky, A., Siegfried, Z., & Karni, R. (2024) · Trends in cancer · doi:10.1016/j.trecan.2024.10.008 · Cited by 30 · see citing works
Cifdaloz, M., Osterloh, L., Graña‐Castro, O., Riveiro‐Falkenbach, E., Ximénez‐Embún, P., Muñoz, J., Tejedo, C., Calvo, T. G., Karras, P., Olmeda, D., et al. (2017) · Nature Communications · doi:10.1038/s41467-017-02353-y · Cited by 29 · see citing works
Self-citationYang, G., Huang, J., Yuan, J., Zhang, Q., Gong, C., Chen, Q., Xie, Q., Xie, L.-X., Chen, R., Qiu, Z., et al. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.00181 · Cited by 29 · see citing works
Elhasnaoui, J., Miano, V., Ferrero, G., Doria, E., Leon, A. E., Fabricio, A. S. C., Annaratone, L., Castellano, I., Sapino, A., & Bortoli, M. D. (2020) · Cancers · doi:10.3390/cancers12061453 · Cited by 29 · see citing works
A widespread length-dependent splicing dysregulation in cancer
Zhang, S., Mao, M., Lv, Y., Yang, Y., He, W., Song, Y., Wang, Y., Yang, Y., Abo, M. A., Freedman, J. A., et al. (2022) · Science Advances · doi:10.1126/sciadv.abn9232 · Cited by 26 · see citing works
Rehati, A., Abuduaini, B., Liang, Z., Chen, D., & He, F. (2023) · Genes and Immunity · doi:10.1038/s41435-023-00205-y · Cited by 28 · see citing works
Silencing of SRRM4 suppresses microexon inclusion and promotes tumor growth across cancers
Head, S. A., Hernandez‐Alias, X., Yang, J., Ciampi, L., Beltrán-Sastre, V., Torres-Méndez, A., Irimia, M., Schaefer, M. H., & Serrano, L. G. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001138 · Cited by 26 · see citing works
Li, J., Pan, T., Chen, L., Wang, Q., Chang, Z., Zhou, W., Li, X., Xu, G., Li, Y., Li, Y., et al. (2021) · Molecular Therapy — Nucleic Acids · doi:10.1016/j.omtn.2021.04.005 · Cited by 26 · see citing works
RNA-binding proteins in ovarian cancer: a novel avenue of their roles in diagnosis and treatment
Wu, J., Wu, Y., Guo, Q., Wang, S., & Wu, X. (2022) · Journal of Translational Medicine · doi:10.1186/s12967-022-03245-6 · Cited by 26 · see citing works
Villemin, J.-P., Lorenzi, C., Oldfield, A., Cabrillac, M.-S., Ritchie, W., & Luco, R. F. (2021) · BMC Biology · doi:10.1186/s12915-021-01002-7 · Cited by 26 · see citing works
Cao, Y., Geng, J., Wang, X., Meng, Q., Xu, S., Lang, Y., Zhou, Y., Qi, L., Wang, Z., Wei, Z., et al. (2021) · International Journal of Biological Sciences · doi:10.7150/ijbs.63598 · Cited by 25 · see citing works
The role of RNA binding proteins in hepatocellular carcinoma
Zhang, K., Barry, A. E., Lamm, R. J., Patel, K., Schafer, M., & Dang, H. T. (2022) · Advanced Drug Delivery Reviews · doi:10.1016/j.addr.2022.114114 · Cited by 25 · see citing works
ExOrthist: a tool to infer exon orthologies at any evolutionary distance
Márquez, Y., Mantica, F., Cozzuto, L., Burguera, D., Hermoso, A., Ponomarenko, J. V., Roy, S. W., & Irimia, M. (2021) · Genome biology · doi:10.1186/s13059-021-02441-9 · Cited by 24 · see citing works
Identification of alternative splicing-derived cancer neoantigens for mRNA vaccine development
Cheng, R., Xu, Z., Luo, M., Wang, P., Cao, H., Jin, X., Zhou, W., Xiao, L., & Jiang, Q. (2021) · Briefings in Bioinformatics · doi:10.1093/bib/bbab553 · Cited by 24 · see citing works
Proteomic profiling of plasma exosomes from patients with B-cell acute lymphoblastic leukemia
Zhu, S., Xing, C., Li, R., Cheng, Z., Deng, M., Luo, Y., Li, H., Zhang, G., Sheng, Y., Peng, H., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-16282-4 · Cited by 24 · see citing works
- Authors
- Sebestyén, E., Singh, B., Miñana, B., Pagès, A., Mateo, F., Pujana, M. A., Valcárcel, J., & Eyras, E.
- Affiliations
- Universitat Pompeu Fabra (ES)
- Institut d'Investigació Biomédica de Bellvitge (ES)
- Institució Catalana de Recerca i Estudis Avançats (ES)
- Venue
- Genome Research
- Publisher
- Cold Spring Harbor Laboratory
- Published
- 2016-04-13
- Volume
- 26
- Issue
- 6
- Pages
- 732-744
- ISSN
- 1088-9051 (ISSN-L)
- 1549-5469
- PMC
- PMC4889968
- OpenAlex
- W2338046461
- Cited by
- 276
- References
- 61
- Citations by year
- 2026: 12 · 2025: 18 · 2024: 25 · 2023: 21 · 2022: 38 · 2021: 45 · 2020: 43 · 2019: 27 · 2018: 22 · 2017: 22 · 2016: 3
- Type
- posted content
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Genome Research (publishedVersion)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Repositori digital de la UPF (Universitat Pompeu Fabra) (publishedVersion, cc-by-nc)
- HighWire Press Open Archive (submittedVersion)
- RECERCAT (Consorci de Serveis Universitaris de Catalunya) (submittedVersion, cc-by-nc)
- Funders
- Ministerio de Economía y Competitividad
- European Commission
- FEDER (BIO2014-52566-R, PIE13/00022-ONCOPROFILE, PI15/00854, RD12/0036/0008)
- Consolider RNAREG (CSD2009-00080)
- Agència de Gestió d'Ajuts Universitaris i de Recerca (SGR2014-1121)
- Sandra Ibarra Foundation for Cancer (FSI2013)
- Fundación Botín
- Santander Universities Global Division
- MINECO
- AGAUR (SGR2014-364)
- AECC
- Instituto de Salud Carlos III
- 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 › Cancer Research › Cancer Genomics and Diagnostics
- Keywords
- alternative splicing, RNA-binding proteins, cancer, solid tumors, MBNL1, NUMA1, copy number variation, gene expression changes, binding motifs, centrosome amplification, cell proliferation, mammary epithelial cells, undifferentiated cells
- MeSH terms
- RNA Splicing Factors, Binding Sites, Humans, Mutation, Neoplasms, Genome, Human, Gene Expression Regulation, Neoplastic, Alternative Splicing, Amino Acid Motifs, Gene Expression Profiling, Cell Proliferation, Transcriptome
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