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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.
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“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
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“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]
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“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
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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
An extensive network of coupling among gene expression machines
Maniatis, T., & Reed, R. (2002) · Nature · doi:10.1038/416499a · Cited by 1,148
Alternative Splicing: New Insights from Global Analyses
Blencowe, B. J. (2006) · Cell · doi:10.1016/j.cell.2006.06.023 · Cited by 1,122
Lewis, B. P., Green, R. E., & Brenner, S. E. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0136770100 · Cited by 1,049
Human breast cancer cells generated by oncogenic transformation of primary mammary epithelial cells
Elenbaas, B., Spirio, L., Koerner, F., Fleming, M. D., Zimonjic, D. B., Donaher, J. L., Popescu, N. C., Hahn, W. C., & Weinberg, R. A. (2001) · Genes & Development · doi:10.1101/gad.828901 · Cited by 878
Variation in alternative splicing across human tissues
Yeo, G., Holste, D., Kreiman, G., & Burge, C. B. (2004) · Genome Biology · doi:10.1186/gb-2004-5-10-r74 · Cited by 584
Self-citationAn RNA map predicting Nova-dependent splicing regulation
Ule, J., Stefani, G., Mele, A., Ruggiu, M., Wang, X., Taneri, B., Gaasterland, T., Blencowe, B. J., & Darnell, R. B. (2006) · Nature · doi:10.1038/nature05304 · Cited by 528
Structure of PTB Bound to RNA: Specific Binding and Implications for Splicing Regulation
Oberstrass, F. C., Auweter, S., Erat, M. C., Hargous, Y., Henning, A., Wenter, P., Reymond, L., Amir-Ahmady, B., Pitsch, S., Black, D. L., et al. (2005) · Science · doi:10.1126/science.1114066 · Cited by 464
Genome-wide detection of tissue-specific alternative splicing in the human transcriptome
Xu, Q. (2002) · Nucleic Acids Research · doi:10.1093/nar/gkf492 · Cited by 418
Pan, Q., Shai, O., Misquitta, C., Zhang, W., Saltzman, A. L., Mohammad, N., Babak, T., Siu, H., Hughes, T. R., Morris, Q. D., et al. (2004) · Molecular Cell · doi:10.1016/j.molcel.2004.12.004 · Cited by 323
Genome-wide analysis of transcript isoform variation in humans
Kwan, T., Benovoy, D., Dias, C., Gurd, S., Provencher, C., Beaulieu, P., Hudson, T. J., SLADEK, R. M., & Majewski, J. (2008) · Nature Genetics · doi:10.1038/ng.2007.57 · Cited by 305
Target RNA motif and target mRNAs of the Quaking STAR protein
Galarneau, A., & Richard, S. (2005) · Nature Structural & Molecular Biology · doi:10.1038/nsmb963 · Cited by 285
Homologues of the Caenorhabditis elegans Fox-1 Protein Are Neuronal Splicing Regulators in Mammals
Underwood, J. G., Boutz, P. L., Dougherty, J. D., Stoilov, P., & Black, D. L. (2005) · Molecular and Cellular Biology · doi:10.1128/mcb.25.22.10005-10016.2005 · Cited by 272
Molecular basis of RNA recognition by the human alternative splicing factor Fox-1
Auweter, S. D., Fasan, R., Reymond, L., Underwood, J. G., Black, D. L., Pitsch, S., & Allain, F. H. (2006) · The EMBO Journal · doi:10.1038/sj.emboj.7600918 · Cited by 264
Finding signals that regulate alternative splicing in the post-genomic era.
Ladd, A. N., & Cooper, T. A. (2002) · Genome biology · doi:10.1186/gb-2002-3-11-reviews0008 · Cited by 219
Function of quaking in myelination: Regulation of alternative splicing
Wu, J. I., Reed, R., Grabowski, P. J., & Artzt, K. (2002) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.072090399 · Cited by 198
Unusual Intron Conservation near Tissue-Regulated Exons Found by Splicing Microarrays
Sugnet, C. W., Srinivasan, K., Clark, T. A., O’Brien, G. S., Cline, M., Wang, H., Williams, A., Kulp, D., Blume, J. E., Haussler, D. H., et al. (2006) · PLoS Computational Biology · doi:10.1371/journal.pcbi.0020004 · Cited by 197
General and Specific Functions of Exonic Splicing Silencers in Splicing Control
Wang, Z., Xiao, X. G., Nostrand, E. L. V., & Burge, C. B. (2006) · Molecular Cell · doi:10.1016/j.molcel.2006.05.018 · Cited by 189
Self-citationNakahata, S. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki338 · Cited by 182
Mitochondrial Phosphate–Carrier Deficiency: A Novel Disorder of Oxidative Phosphorylation
Mayr, J. A., Merkel, O., Kohlwein, S. D., Gebhardt, B. R., Böhles, H., Fötschl, U., Koch, J., Jaksch, M., Lochmüller, H., Horváth, R., et al. (2007) · The American Journal of Human Genetics · doi:10.1086/511788 · Cited by 167
Polypyrimidine Tract Binding Protein Modulates Efficiency of Polyadenylation
Castelo‐Branco, P., Furger, A., Wollerton, M., Smith, C. W. J., Moreira, A., & Proudfoot, N. J. (2004) · Molecular and Cellular Biology · doi:10.1128/mcb.24.10.4174-4183.2004 · Cited by 162
Spatial preferences of microRNA targets in 3' untranslated regions
Majoros, W. H., & Ohler, U. (2007) · BMC Genomics · doi:10.1186/1471-2164-8-152 · Cited by 128
SRm160 Splicing Coactivator Promotes Transcript 3′-End Cleavage
McCracken, S. A., Lambermon, M. H. L., & Blencowe, B. J. (2002) · Molecular and Cellular Biology · doi:10.1128/mcb.22.1.148-160.2002 · Cited by 106
The RNA-binding Protein CUGBP1 Regulates Stability of Tumor Necrosis Factor mRNA in Muscle Cells
Zhang, L., Lee, J. E., Wilusz, J., & Wilusz, C. J. (2008) · Journal of Biological Chemistry · doi:10.1074/jbc.m802803200 · Cited by 90
Self-citationXing, Y., & Lee, C. J. (2005) · PLoS Genetics · doi:10.1371/journal.pgen.0010034 · Cited by 66
Regulation of Alternative Splicing
McKeown, M. (1990) · Springer eBooks · doi:10.1007/978-1-4613-0641-2_9 · Cited by 57
The ovalbumin gene: cloning and molecular organization of the entire natural gene.
Dugaiczyk, A., Woo, S. L. C., Colbert, D. A., Lai, E. C., Mace, M. L., & O’Malley, B. W. (1979) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.76.5.2253 · Cited by 49
Paz, R. D., Andreasen, N. C., Daoud, S. Z., Conley, R., Roberts, R. C., Bustillo, J., & Perrone‐Bizzozero, N. I. (2006) · American Journal of Psychiatry · doi:10.1176/ajp.2006.163.10.1829 · Cited by 47
Strengths and weaknesses of EST-based prediction of tissue-specific alternative splicing
Gupta, S., Zink, D., Korn, B., Vingron, M., & Haas, S. A. (2004) · BMC Genomics · doi:10.1186/1471-2164-5-72 · Cited by 43
The haplo-spliceo-transcriptome: common variations in alternative splicing in the human population
Graveley, B. R. (2007) · Trends in Genetics · doi:10.1016/j.tig.2007.10.004 · Cited by 39
Allele‐specific transcript isoforms in human
Nembaware, V., Wolfe, K. H., Bettoni, F., Kelso, J. F., & Seoighe, C. (2004) · FEBS Letters · doi:10.1016/j.febslet.2004.10.018 · Cited by 38
GU-Rich RNA: Expanding CUGBP1 Function, Broadening mRNA Turnover
Kim, H. H., & Gorospe, M. (2008) · Molecular Cell · doi:10.1016/j.molcel.2008.01.005 · Cited by 23
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)
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Li, B., & Dewey, C. N. (2011) · BMC Bioinformatics · doi:10.1186/1471-2105-12-323 · Cited by 22,179
Full-length transcriptome assembly from RNA-Seq data without a reference genome
Grabherr, M. G., Haas, B. J., Yassour, M., Levin, J. Z., Thompson, D. A., Amit, I., Adiconis, X., Fan, L., Raychowdhury, R., Zeng, Q., et al. (2011) · Nature Biotechnology · doi:10.1038/nbt.1883 · Cited by 21,201
Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556
StringTie enables improved reconstruction of a transcriptome from RNA-seq reads
Pertea, M., Pertea, G. M., Antonescu, C. M., Chang, T.-C., Mendell, J. T., & Salzberg, S. L. (2015) · Nature Biotechnology · doi:10.1038/nbt.3122 · Cited by 14,406
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Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,682
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
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