The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Alternative isoform regulation in human tissue transcriptomes
Open accessAbstract
Through alternative processing of pre-messenger RNAs, individual mammalian genes often produce multiple mRNA and protein isoforms that may have related, distinct or even opposing functions. Here we report an in-depth analysis of 15 diverse human tissue and cell line transcriptomes on the basis of deep sequencing of complementary DNA fragments, yielding a digital inventory of gene and mRNA isoform expression. Analyses in which sequence reads are mapped to exon-exon junctions indicated that 92-94% of human genes undergo alternative splicing, 86% with a minor isoform frequency of 15% or more. Differences in isoform-specific read densities indicated that most alternative splicing and alternative cleavage and polyadenylation events vary between tissues, whereas variation between individuals was approximately twofold to threefold less common. Extreme or 'switch-like' regulation of splicing between tissues was associated with increased sequence conservation in regulatory regions and with generation of full-length open reading frames. Patterns of alternative splicing and alternative cleavage and polyadenylation were strongly correlated across tissues, suggesting coordinated regulation of these processes, and sequence conservation of a subset of known regulatory motifs in both alternative introns and 3' untranslated regions suggested common involvement of specific factors in tissue-level regulation of both splicing and polyadenylation.
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?
The cited source says what the claim attributes to it.
In the citing paper
“Direct sequencing of RNA libraries also provides the opportunity to explore alternative splicing, a key mechanism that contributes to transcriptome diversity (Pan et al., 2008;Wang et al., 2008).”
From An RNA-Sequencing Transcriptome and Splicing Database of Glia, Neurons, and Vascular Cells of the Cerebral Cortex (2014) · cites this paper as Wang et al., 2008
The cited source says what the claim attributes to it.
In the citing paper
“RNA sequencing (RNA-seq) studies indicate that ~93% of human genes undergo alternative splicing and about 86% have a minor isoform frequency above 15% (ref. 11).”
From How many human proteoforms are there? (2018) · cites this paper as [11]
The cited source says what the claim attributes to it.
In the citing paper
“RNA sequencing (RNA-seq) studies indicate that ~93% of human genes undergo alternative splicing and about 86% have a minor isoform frequency above 15% (ref. 11).”
From How many human proteoforms are there? (2018) · cites this paper as [11]
In the citing paper
“RNA-seq experiments have discovered over 100,000 AS transcripts in the human genome (Pan et al., 2008; Wang et al., 2008)”
From Splice-Junction-Based Mapping of Alternative Isoforms in the Human Proteome (2019) · cites this paper as Wang et al., 2008
In the citing paper
“Transcripts from ∼95% of multi-exon human genes are alternatively spliced (Pan et al., 2008, Wang et al., 2008).”
From Impact of Alternative Splicing on the Human Proteome (2017) · cites this paper as Wang et al., 2008
In the citing paper
“Several recent findingspropose that Rbfox can also regulate alternative polyadenylation (Wang et al., 2008) and mRNA stability (Ray et al., 2013), based on analysis of Rbfox motif sites in 3′ UTRs that are correlated with transcript abundance in different tissues.”
From HITS-CLIP and integrative modeling define the Rbfox splicing-regulatory network linked to brain development and autism (2014) · cites this paper as Wang et al., 2008
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
Initial sequencing and analysis of the human genome
International Human Genome Sequencing Consortium, Whitehead Institute for Biomedical Research, C. F. G. R., Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., Devon, K., Dewar, K., et al. (2001) · Nature · doi:10.1038/35057062 · Cited by 24,216
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696
Lewis, B. P., Burge, C. B., & Bartel, D. P. (2005) · Cell · doi:10.1016/j.cell.2004.12.035 · Cited by 11,855
Self-citationMechanisms of Alternative Pre-Messenger RNA Splicing
Black, D. L. (2003) · Annual Review of Biochemistry · doi:10.1146/annurev.biochem.72.121801.161720 · Cited by 2,704
MAQC Consortium, Shi, L., Shi, L., Reid, L. H., Jones, W. D., Shippy, R., Warrington, J. A., Baker, S. C., Collins, P. J., de Longueville, F., et al. (2006) · Nature Biotechnology · doi:10.1038/nbt1239 · Cited by 2,126
Self-citationXie, X., Lu, J., Kulbokas, E. J., Golub, T. R., Mootha, V., Lindblad-Toh, K., Lander, E. S., & Kellis, M. (2005) · Nature · doi:10.1038/nature03441 · Cited by 1,872
Genome-Wide Survey of Human Alternative Pre-mRNA Splicing with Exon Junction Microarrays
Johnson, J. M., Castle, J. C., Garrett-Engele, P. W., Kan, Z., Loerch, P., Armour, C. D., Santos, R., Schadt, E. E., Stoughton, R. B., & Shoemaker, D. D. (2003) · Science · doi:10.1126/science.1090100 · Cited by 1,418
HITS-CLIP yields genome-wide insights into brain alternative RNA processing
Licatalosi, D. D., Mele, A., Fak, J. J., Ule, J., Kayikci, M., Chi, S. W., Clark, T. A., Schweitzer, A. C., Blume, J. E., Wang, X., et al. (2008) · Nature · doi:10.1038/nature07488 · Cited by 1,352
Understanding alternative splicing: towards a cellular code
Matlin, A. J., Clark, F., & Smith, C. W. J. (2005) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1645 · Cited by 1,299
Sultan, M., Schulz, M. H., Richard, H., Magen, A., Klingenhoff, A., Scherf, M., Seifert, M., Borodina, T., Soldatov, A., Parkhomchuk, D., et al. (2008) · Science · doi:10.1126/science.1160342 · Cited by 1,293
Research works printed but not linked: 2
- Schroth, G. P., Luo, S. & Khrebtukova, I. Transcriptome analysis using high-throughput DNA sequencing. Methods Mol. Biol. (in the press)
- Pan, Q., Shai, O., Lee, L. J., Frey, B. J. & Blencowe, B. J. Deep surveying of alternative splicing complexity in the human genome by next generation sequencing. Nature Genet. (in the press)
Cited by
Sorted by citations
Items 201–300 of 1,022
Mayer, A., di Iulio, J., Maleri, S., Eser, U., Vierstra, J., Reynolds, A., Sandstrom, R., Stamatoyannopoulos, J. A., & Churchman, L. S. (2015) · Cell · doi:10.1016/j.cell.2015.03.010 · Cited by 367
Cell-Type-Specific Alternative Splicing Governs Cell Fate in the Developing Cerebral Cortex
Zhang, X., Chen, M. H., Wu, X., Kodani, A., Fan, J., Doan, R. N., Ozawa, M., Ma, J., Yoshida, N., Reiter, J. F., et al. (2016) · Cell · doi:10.1016/j.cell.2016.07.025 · Cited by 363
Horiuchi, K., Kawamura, T., Iwanari, H., Ohashi, R., Naito, M., Kodama, T., & Hamakubo, T. (2013) · Journal of Biological Chemistry · doi:10.1074/jbc.m113.500397 · Cited by 362
TCGASpliceSeq a compendium of alternative mRNA splicing in cancer
Ryan, M., Wong, W. C., Brown, R. E., Akbani, R., Su, X., Broom, B. M., Melott, J. M., & Weinstein, J. N. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv1288 · Cited by 359
A regulated PNUTS mRNA to lncRNA splice switch mediates EMT and tumour progression
Grelet, S., Link, L. A., Howley, B. V., Obellianne, C., Palanisamy, V., Gangaraju, V. K., Diehl, J. A., & Howe, P. H. (2017) · Nature Cell Biology · doi:10.1038/ncb3595 · Cited by 357
Cancer-associated regulation of alternative splicing
Venables, J. P., Klinck, R., Koh, C., Gervais-Bird, J., Bramard, A., Inkel, L., Durand, M., Couture, S., Froehlich, U., Lapointe, E., et al. (2009) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1608 · Cited by 355
To localize or not to localize: mRNA fate is in 3′UTR ends
Andreassi, C., & Riccio, A. (2009) · Trends in Cell Biology · doi:10.1016/j.tcb.2009.06.001 · Cited by 351
Widespread and extensive lengthening of 3′ UTRs in the mammalian brainPreprint
Miura, P., Shenker, S., Andreu-Agulló, C., Westholm, J. O., & Lai, E. C. (2013) · Genome Research · doi:10.1101/gr.146886.112 · Cited by 349
Alternative Splicing Mediates Responses of the Arabidopsis Circadian Clock to Temperature Changes
James, A. B., Syed, N. H., Bordage, S., Marshall, J. J. T., Nimmo, G. A., Jenkins, G. I., Herzyk, P., Brown, J. W. S., & Nimmo, H. G. (2012) · The Plant Cell · doi:10.1105/tpc.111.093948 · Cited by 348
The Cellular EJC Interactome Reveals Higher-Order mRNP Structure and an EJC-SR Protein Nexus
Singh, G., Küçükural, A., Cenik, C., Leszyk, J., Shaffer, S. A., Weng, Z., & Moore, M. J. (2012) · Cell · doi:10.1016/j.cell.2012.10.007 · Cited by 347
Charizanis, K., Lee, K.-Y., Batra, R., Goodwin, M., Zhang, C., Yuan, Y., Shiue, L., Cline, M., Scotti, M. M., Xia, G., et al. (2012) · Neuron · doi:10.1016/j.neuron.2012.05.029 · Cited by 346
Cho, V., Mei, Y., Sanny, A., Chan, S., Enders, A., Bertram, E. M., Tan, A. H., Goodnow, C. C., & Andrews, T. D. (2014) · Genome biology · doi:10.1186/gb-2014-15-1-r26 · Cited by 343
Detection of splice junctions from paired-end RNA-seq data by SpliceMap
Au, K. F., Jiang, H., Lin, L., Xing, Y., & Wong, W. H. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq211 · Cited by 341
Amit, M., Donyo, M., Hollander, D., Goren, A., Kim, E., Gelfman, S., Lev-Maor, G., Burstein, D., Schwartz, S., Postolsky, B., et al. (2012) · Cell Reports · doi:10.1016/j.celrep.2012.03.013 · Cited by 338
Stability, delivery and functions of human sperm RNAs at fertilization
Sendler, E. D., Johnson, G. D., Mao, S., Goodrich, R. J., Diamond, M. P., Hauser, R. B., & Krawetz, S. A. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt132 · Cited by 338
Weyn-Vanhentenryck, S. M., Mele, A., Yan, Q., Sun, S., Farny, N., Zhang, Z., Xue, C., Herre, M., Silver, P. A., Zhang, M. Q., et al. (2014) · Cell Reports · doi:10.1016/j.celrep.2014.02.005 · Cited by 333
“Several recent findings propose that Rbfox can also regulate alternative polyadenylation (Wang et al., 2008) and mRNA stability (Ray et al.”
Histone H2A variants in nucleosomes and chromatin: more or less stable?
Bönisch, C., & Hake, S. B. (2012) · Nucleic Acids Research · doi:10.1093/nar/gks865 · Cited by 333
AltAnalyze and DomainGraph: analyzing and visualizing exon expression data
Emig, D., Salomonis, N., Baumbach, J., Lengauer, T., Conklin, B. R., & Albrecht, M. (2010) · Nucleic Acids Research · doi:10.1093/nar/gkq405 · Cited by 333
MBNL 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 332
Self-citationExtensive alternative polyadenylation during zebrafish developmentPreprint
Ulitsky, I., Shkumatava, A., Jan, C. H., Subtelny, A. O., Koppstein, D., Bell, G. W., Sive, H. L., & Bartel, D. P. (2012) · Genome Research · doi:10.1101/gr.139733.112 · Cited by 331
Translational control by changes in poly(A) tail length: recycling mRNAs
Weill, L., Belloc, E., Bava, F.-A., & Méndez, R. (2012) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2311 · Cited by 328
How to map billions of short reads onto genomes
Trapnell, C., & Salzberg, S. L. (2009) · Nature Biotechnology · doi:10.1038/nbt0509-455 · Cited by 322
Alternative expression analysis by RNA sequencing
Griffith, M., Griffith, O. L., Mwenifumbo, J. C., Goya, R., Morrissy, A. S., Morin, R. D., Corbett, R., Tang, M., Hou, Y. C., Pugh, T. J., et al. (2010) · Nature Methods · doi:10.1038/nmeth.1503 · Cited by 322
Alternative cleavage and polyadenylation: the long and short of it
Tian, B., & Manley, J. L. (2013) · Trends in Biochemical Sciences · doi:10.1016/j.tibs.2013.03.005 · Cited by 319
Splicing regulation by long noncoding RNAs
Romero-Barrios, N., Legascue, M. F., Benhamed, M., Ariel, F., & Crespi, M. D. (2018) · Nucleic Acids Research · doi:10.1093/nar/gky095 · Cited by 319
Function annotation of the rice transcriptome at single-nucleotide resolution by RNA-seqPreprint
Lu, T., Lu, G., Fan, D., Zhu, C., Li, W., Zhao, Q., Feng, Q., Zhao, Y., Guo, Y., Li, W., et al. (2010) · Genome Research · doi:10.1101/gr.106120.110 · Cited by 318
The effects of death and post-mortem cold ischemia on human tissue transcriptomes
Ferreira, P. G., Muñoz-Aguirre, M., Reverter, F., Godinho, C. D. S., Sousa, A., Amadoz, A., Sodaei, R., Hidalgo, M. R., Pervouchine, D. D., Carbonell‐Caballero, J., et al. (2018) · Nature Communications · doi:10.1038/s41467-017-02772-x · Cited by 317
Misregulation of Pre-mRNA Alternative Splicing in Cancer
Zhang, J., & Manley, J. L. (2013) · Cancer Discovery · doi:10.1158/2159-8290.cd-13-0253 · Cited by 316
Gaidatzis, D., Burger, L., Florescu, M., & Stadler, M. B. (2015) · Nature Biotechnology · doi:10.1038/nbt.3269 · Cited by 313
Noisy Splicing Drives mRNA Isoform Diversity in Human Cells
Pickrell, J. K., Pai, A. A., Gilad, Y., & Pritchard, J. K. (2010) · PLoS Genetics · doi:10.1371/journal.pgen.1001236 · Cited by 311
Transcriptional diversity during lineage commitment of human blood progenitors
Chen, L., Kostadima, M. A., Martens, J. H. A., Canu, G., Garcia, S. P., Turro, E., Downes, K., Macaulay, I. C., Bielczyk-Maczyńska, E., Coe, S., et al. (2014) · Science · doi:10.1126/science.1251033 · Cited by 311
Twine, N. A., Janitz, K., Wilkins, M. R., & Janitz, M. (2011) · PLoS ONE · doi:10.1371/journal.pone.0016266 · Cited by 309
Singh, M., Al-Eryani, G., Carswell, S., Ferguson, J. M., Blackburn, J., Barton, K., Roden, D., Luciani, F., Giang Phan, T., Junankar, S., et al. (2019) · Nature Communications · doi:10.1038/s41467-019-11049-4 · Cited by 308
The expanding scope of DNA sequencing
Shendure, J., & Aiden, E. L. (2012) · Nature Biotechnology · doi:10.1038/nbt.2421 · Cited by 308
Biogenesis and Regulatory Roles of Circular RNAs
Yang, L. C., Wilusz, J. E., & Chen, L. (2022) · Annual Review of Cell and Developmental Biology · doi:10.1146/annurev-cellbio-120420-125117 · Cited by 308
hnRNP A1: The Swiss Army Knife of Gene Expression
Jean-Philippe, J., Paz, S., & Caputi, M. (2013) · International Journal of Molecular Sciences · doi:10.3390/ijms140918999 · Cited by 307
Expression Profile of Ectopic Olfactory Receptors Determined by Deep Sequencing
Flegel, C., Manteniotis, S., Osthold, S., Hatt, H. H., & Gisselmann, G. (2013) · PLoS ONE · doi:10.1371/journal.pone.0055368 · Cited by 306
Integrative analysis of the melanoma transcriptome
Berger, M. F., Levin, J. Z., Vijayendran, K., Sivachenko, A., Adiconis, X., Maguire, J., Johnson, L. A., Robinson, J., Verhaak, R. G., Sougnez, C., et al. (2010) · Genome Research · doi:10.1101/gr.103697.109 · Cited by 305
A lncRNA regulates alternative splicing via establishment of a splicing-specific chromatin signature
González, I., Munita, R., Agirre, E., Dittmer, T. A., Gysling, K., Misteli, T., & Luco, R. F. (2015) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.3005 · Cited by 303
Advanced Applications of RNA Sequencing and Challenges
Han, Y., Gao, S., Muegge, K., Zhang, W., & Zhou, B. (2015) · Bioinformatics and Biology Insights · doi:10.4137/bbi.s28991 · Cited by 303
Argonaute proteins couple chromatin silencing to alternative splicing
Ameyar‐Zazoua, M., Rachez, C., Souidi, M., Robin, P., Fritsch, L., Young, R. S., Morozova, N., Fenouil, R., Descostes, N., Andrau, J., et al. (2012) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.2373 · Cited by 300
Proteomic and interactomic insights into the molecular basis of cell functional diversity
Bludau, I., & Aebersold, R. (2020) · Nature Reviews Molecular Cell Biology · doi:10.1038/s41580-020-0231-2 · Cited by 297
Co-transcriptional splicing of constitutive and alternative exons
Pandya‐Jones, A., & Black, D. L. (2009) · RNA · doi:10.1261/rna.1714509 · Cited by 297
Wang, Y., Xie, Z., Kutschera, E., Adams, J. I., Kadash-Edmondson, K. E., & Xing, Y. (2024) · Nature Protocols · doi:10.1038/s41596-023-00944-2 · Cited by 296
Integrative Modeling Defines the Nova Splicing-Regulatory Network and Its Combinatorial Controls
Zhang, C., Frias, M. A., Mele, A., Ruggiu, M., Eom, T., Marney, C. B., Wang, H., Licatalosi, D. D., Fak, J. J., & Darnell, R. B. (2010) · Science · doi:10.1126/science.1191150 · Cited by 294
RNA structure and the mechanisms of alternative splicing
McManus, C. J., & Graveley, B. R. (2011) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2011.04.001 · Cited by 294
The snoRNA MBII-52 (SNORD 115) is processed into smaller RNAs and regulates alternative splicing
Kishore, S., Khanna, A., Zhang, Z., Hui, J., Balwierz, P. J., Stefan, M., Beach, C. M., Nicholls, R. D., Zavolan, M., & Stamm, S. (2010) · Human Molecular Genetics · doi:10.1093/hmg/ddp585 · Cited by 293
Reyes, A., & Huber, W. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1165 · Cited by 290
Comprehensive identification of internal structure and alternative splicing events in circular RNAs
Gao, Y., Wang, J., Zheng, Y., Zhang, J., Chen, S., & Zhao, F. (2016) · Nature Communications · doi:10.1038/ncomms12060 · Cited by 290
RNA sequencing reveals two major classes of gene expression levels in metazoan cells
Hebenstreit, D., Fang, M., Gu, M., Charoensawan, V., van Oudenaarden, A., & Teichmann, S. A. (2011) · Molecular Systems Biology · doi:10.1038/msb.2011.28 · Cited by 289
Understanding splicing regulation through RNA splicing maps
Witten, J. T., & Ule, J. (2011) · Trends in Genetics · doi:10.1016/j.tig.2010.12.001 · Cited by 289
Pre-mRNA splicing is facilitated by an optimal RNA polymerase II elongation rate
Fong, N., Kim, H., Zhou, Y., Ji, X., Qiu, J., Saldi, T., Diener, K., Jones, K., Fu, X.-D., & Bentley, D. L. (2014) · Genes & Development · doi:10.1101/gad.252106.114 · Cited by 287
Methylomic trajectories across human fetal brain development
Spiers, H., Hannon, E., Schalkwyk, L. C., Smith, R., Wong, C. C. Y., O’Donovan, M. C., Bray, N. J., & Mill, J. (2015) · Genome Research · doi:10.1101/gr.180273.114 · Cited by 287
Yap, K., Lim, Z. Q., Khandelia, P., Friedman, B., & Makeyev, E. V. (2012) · Genes & Development · doi:10.1101/gad.188037.112 · Cited by 286
Aanes, H., Winata, C. L., Lin, C. H., Chen, J. P., Srinivasan, K. G., Lee, S. G. P., Lim, A. Y. M., Hajan, H. S., Collas, P., Bourque, G., et al. (2011) · Genome Research · doi:10.1101/gr.116012.110 · Cited by 285
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 285
Regulation of pre-mRNA splicing: roles in physiology and disease, and therapeutic prospects
Rogalska, M. E., Vivori, C., & Valcárcel, J. (2022) · Nature Reviews Genetics · doi:10.1038/s41576-022-00556-8 · Cited by 284
Silent (Synonymous) SNPs: Should We Care About Them?
Hunt, R., Sauna, Z. E., Ambudkar, S. V., Gottesman, M. M., & Kimchi‐Sarfaty, C. (2009) · Methods in molecular biology · doi:10.1007/978-1-60327-411-1_2 · Cited by 282
Global Dissection of Alternative Splicing in Paleopolyploid Soybean
Shen, Y., Zhou, Z., Wang, Z., Li, W., Fang, C. Q., Wu, M., Ma, Y., Liu, T., Kong, L., Peng, D., et al. (2014) · The Plant Cell · doi:10.1105/tpc.114.122739 · Cited by 282
Histone H3 lysine 9 trimethylation and HP1γ favor inclusion of alternative exons
Saint-André, V., Batsché, E., Rachez, C., & Muchardt, C. (2011) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1995 · Cited by 278
HLA typing from RNA-Seq sequence reads
Boegel, S., Löwer, M., Schäfer, M. K. E., Bukur, T., de Graaf, J., Boisguérin, V., Türeci, Ö., Diken, M., Castle, J. C., & Şahin, U. (2012) · Genome Medicine · doi:10.1186/gm403 · Cited by 278
Soneson, C., Yao, Y., Bratus-Neuenschwander, A., Patrignani, A., Robinson, M. D., & Hussain, S. (2019) · Nature Communications · doi:10.1038/s41467-019-11272-z · Cited by 277
Accurate quantification of circular RNAs identifies extensive circular isoform switching events
Zhang, J., Chen, S., Yang, J., & Zhao, F. (2020) · Nature Communications · doi:10.1038/s41467-019-13840-9 · Cited by 274
Fu, Y., Sun, Y., Li, Y., Li, J., Rao, X., Chen, C., & Xu, A. (2011) · Genome Research · doi:10.1101/gr.115295.110 · Cited by 273
Precise temporal regulation of alternative splicing during neural development
Weyn‐Vanhentenryck, S. M., Feng, H., Ustianenko, D., Duffié, R., Yan, Q., Jacko, M., Martinez, J. C., Goodwin, M., Zhang, X., Hengst, U., et al. (2018) · Nature Communications · doi:10.1038/s41467-018-04559-0 · Cited by 273
Sarparanta, J., Jonson, P. H., Golzio, C., Sandell, S., Luque, H., Screen, M., Gibson, K. M., Stajich, J. M., Mahjneh, I., Vihola, A., et al. (2012) · Nature Genetics · doi:10.1038/ng.1103 · Cited by 271
Li, W., You, B., Hoque, M., Zheng, D., Luo, W., Ji, Z., Park, J. Y., Gunderson, S., Kalsotra, A., Manley, J. L., et al. (2015) · PLoS Genetics · doi:10.1371/journal.pgen.1005166 · Cited by 270
Sex-specific and lineage-specific alternative splicing in primatesPreprint
Blekhman, R., Marioni, J. C., Zumbo, P., Stephens, M., & Gilad, Y. (2009) · Genome Research · doi:10.1101/gr.099226.109 · Cited by 270
Wang, L., Cao, C., Ma, Q., Zeng, Q., Wang, H., Cheng, Z., Zhu, G., Qi, J., Mā, H., Nian, H., et al. (2014) · BMC Plant Biology · doi:10.1186/1471-2229-14-169 · Cited by 269
Defining a personal, allele-specific, and single-molecule long-read transcriptome
Tilgner, H., Grubert, F., Sharon, D., & Snyder, M. P. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1400447111 · Cited by 266
Transcriptome analysis of human tissues and cell lines reveals one dominant transcript per gene
Gonzàlez-Porta, M., Frankish, A., Rung, J., Harrow, J., & Brazma, A. (2013) · Genome Biology · doi:10.1186/gb-2013-14-7-r70 · Cited by 266
Coupling of RNA Polymerase II Transcription Elongation with Pre-mRNA Splicing
Saldi, T. K., Cortázar, M. A., Sheridan, R. M., & Bentley, D. L. (2016) · Journal of Molecular Biology · doi:10.1016/j.jmb.2016.04.017 · Cited by 266
Tunable protein synthesis by transcript isoforms in human cells
Floor, S. N., & Doudna, J. A. (2016) · eLife · doi:10.7554/elife.10921 · Cited by 265
Learning the Sequence Determinants of Alternative Splicing from Millions of Random Sequences
Rosenberg, A. B., Patwardhan, R. P., Shendure, J., & Seelig, G. (2015) · Cell · doi:10.1016/j.cell.2015.09.054 · Cited by 265
The Landscape of Isoform Switches in Human Cancers
Vitting‐Seerup, K., & Sandelin, A. (2017) · Molecular Cancer Research · doi:10.1158/1541-7786.mcr-16-0459 · Cited by 265
Ji, Z., & Tian, B. (2009) · PLoS ONE · doi:10.1371/journal.pone.0008419 · Cited by 264
Single-Cell RNA Sequencing Analysis: A Step-by-Step Overview
Slovin, S., Carissimo, A., Panariello, F., Grimaldi, A., Bouchè, V., Gambardella, G., & Cacchiarelli, D. (2021) · Methods in molecular biology · doi:10.1007/978-1-0716-1307-8_19 · Cited by 265
Llorian, M., Schwartz, S., Clark, T. A., Hollander, D., Tan, L.-Y., Spellman, R., Gordon, A., Schweitzer, A. C., de la Grange, P., Ast, G., et al. (2010) · Nature Structural & Molecular Biology · doi:10.1038/nsmb.1881 · Cited by 263
RNA-binding proteins in Mendelian disease
Castelló, A., Fischer, B., Hentze, M. W., & Preiß, T. (2013) · Trends in Genetics · doi:10.1016/j.tig.2013.01.004 · Cited by 261
Zhao, H., Gao, Z., Wang, L., Wang, J., Wang, S., Fei, B., Chen, C., Shi, C., Liu, X., Zhang, H., et al. (2018) · GigaScience · doi:10.1093/gigascience/giy115 · Cited by 261
Bell, C. G., Finer, S., Lindgren, C. M., Wilson, G. A., Rakyan, V. K., Teschendorff, A. E., Akan, P., Stupka, E., Down, T. A., Prokopenko, I., et al. (2010) · PLoS ONE · doi:10.1371/journal.pone.0014040 · Cited by 260
Periostin expression and epithelial-mesenchymal transition in cancer: a review and an update
Morra, L., & Moch, H. (2011) · Archiv für Pathologische Anatomie und Physiologie und für Klinische Medicin · doi:10.1007/s00428-011-1151-5 · Cited by 259
SpliceAid 2: a database of human splicing factors expression data and RNA target motifs
Piva, F., Giulietti, M., Burini, A. B., & Principato, G. (2012) · Human Mutation · doi:10.1002/humu.21609 · Cited by 256
Barbosa‐Morais, N. L., Dunning, M., Samarajiwa, S., Darot, J. F. J., Ritchie, M. E., Lynch, A. G., & Tavaré, S. (2009) · Nucleic Acids Research · doi:10.1093/nar/gkp942 · Cited by 254
Global impact of RNA polymerase II elongation inhibition on alternative splicing regulationPreprint
Ip, J. Y. Y., Schmidt, D., Pan, Q., Ramani, A. K., Fraser, A. G., Odom, D. T., & Blencowe, B. J. (2010) · Genome Research · doi:10.1101/gr.111070.110 · Cited by 253
Entering the era of single-cell transcriptomics in biology and medicine
Sandberg, R. (2013) · Nature Methods · doi:10.1038/nmeth.2764 · Cited by 252
Self-citationSignals for pre‐mRNA cleavage and polyadenylation
Tian, B., & Graber, J. H. (2011) · Wiley Interdisciplinary Reviews - RNA · doi:10.1002/wrna.116 · Cited by 250
Aberrant splicing of U12-type introns is the hallmark of ZRSR2 mutant myelodysplastic syndrome
Madan, V., Kanojia, D., Li, J., Okamoto, R., Sato‐Otsubo, A., Kohlmann, A., Sanada, M., Großmann, V., Sundaresan, J., Shiraishi, Y., et al. (2015) · Nature Communications · doi:10.1038/ncomms7042 · Cited by 249
Massone, S., Vassallo, I., Fiorino, G., Castelnuovo, M., Barbieri, F., Borghi, R., Tabaton, M., Robello, M., Gatta, E., Russo, C., et al. (2010) · Neurobiology of Disease · doi:10.1016/j.nbd.2010.09.019 · Cited by 247
Wang, E., & Aifantis, I. (2020) · Trends in cancer · doi:10.1016/j.trecan.2020.04.011 · Cited by 246
Self-citationHigh-throughput total RNA sequencing in single cells using VASA-seq
Salmén, F., Jonghe, J. D., Kamiński, T. S., Alemany, A., Parada, G. E., Verity-Legg, J., Yanagida, A., Kohler, T. N., Battich, N., van den Brekel, F., et al. (2022) · Nature Biotechnology · doi:10.1038/s41587-022-01361-8 · Cited by 244
Chen, M., Zhang, J., & Manley, J. L. (2010) · Cancer Research · doi:10.1158/0008-5472.can-10-2513 · Cited by 242
Regulated functional alternative splicing in Drosophila
Venables, J. P., Tazi, J., & Juge, F. (2011) · Nucleic Acids Research · doi:10.1093/nar/gkr648 · Cited by 241
Li, S., Tighe, S. W., Nicolet, C. M., Grove, D., Levy, S., Farmerie, W., Viale, A., Wright, C., Schweitzer, P. A., Gao, Y., et al. (2014) · Nature Biotechnology · doi:10.1038/nbt.2972 · Cited by 240
Conservation of an RNA regulatory map between Drosophila and mammalsPreprint
Brooks, A. N., Yang, L. C., Duff, M. O., Hansen, K. D., Park, J. W., Dudoit, S., Brenner, S. E., & Graveley, B. R. (2010) · Genome Research · doi:10.1101/gr.108662.110 · Cited by 240
New Insights into 5hmC DNA Modification: Generation, Distribution and Function
Shi, D., Ali, I., Tang, J., & Yang, W. (2017) · Frontiers in Genetics · doi:10.3389/fgene.2017.00100 · Cited by 239
Wang, R., Nambiar, R., Zheng, D., & Tian, B. (2018) · Nucleic Acids Research · doi:10.1093/nar/gkx1000 · Cited by 239
Pyruvate kinase M2-specific siRNA induces apoptosis and tumor regression
Goldberg, M. S., & Sharp, P. A. (2012) · The Journal of Experimental Medicine · doi:10.1084/jem.20111487 · Cited by 238
Open questions: How many genes do we have?
Salzberg, S. L. (2018) · BMC Biology · doi:10.1186/s12915-018-0564-x · Cited by 238
Haas, B. J., & Zody, M. C. (2010) · Nature Biotechnology · doi:10.1038/nbt0510-421 · Cited by 237
Metadata
- Authors
- Wang, E. T., Sandberg, R., Luo, S., Khrebtukova, I., Zhang, L., Mayr, C., Kingsmore, S. F., Schroth, G. P., & Burge, C. B.
- Affiliations
- Massachusetts Institute of Technology (US)
- Karolinska Institutet (SE)
- Illumina (United States) (US)
- Whitehead Institute for Biomedical Research (US)
- National Center for Genome Resources (US)
- Corresponding author
- Burge, Christopher B.
- ORCID
- Venue
- Nature
- Published
- 2008-11
- Volume
- 456
- Issue
- 7221
- Pages
- 470-476
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- PMC
- PMC2593745
- OpenAlex
- W2155804510
- Cited by
- 5,181
- References
- 41
- Citations by year
- 2026: 172 · 2025: 222 · 2024: 253 · 2023: 254 · 2022: 317 · 2021: 364 · 2020: 294 · 2019: 304 · 2018: 266 · 2017: 262 · 2016: 294 · 2015: 316 · 2014: 345 · 2013: 347 · 2012: 376
- FWCI
- 108.59
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Funders
- National Human Genome Research Institute (R01HG002439)
- National Cancer Institute (P30CA008748)
- National Institute of General Medical Sciences (R01GM085319)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA Research and Splicing
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA regulation and disease
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › RNA and protein synthesis mechanisms
- Keywords
- alternative splicing, mRNA isoforms, tissue-specific gene expression, exon-exon junctions, sequence conservation, 3' untranslated region, human transcriptome, human cell lines, splicing regulation
- MeSH terms
- RNA Splicing Factors, Base Sequence, Cell Line, Exons, Humans, Organ Specificity, Repressor Proteins, RNA, Messenger, Open Reading Frames, RNA-Binding Proteins, Alternative Splicing, Protein Isoforms, Gene Expression Profiling, Polyadenylation
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