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Genome-Wide Survey of Human Alternative Pre-mRNA Splicing with Exon Junction Microarrays

Johnson, Jason M., Castle, John, Garrett-Engele, Philip, Kan, Zhengyan, Loerch, Patrick M., Armour, Christopher D., Santos, Ralph, Schadt, Eric E., Stoughton, Roland, Shoemaker, Daniel D.·2003·Science

Abstract

Alternative pre–messenger RNA (pre-mRNA) splicing plays important roles in development, physiology, and disease, and more than half of human genes are alternatively spliced. To understand the biological roles and regulation of alternative splicing across different tissues and stages of development, systematic methods are needed. Here, we demonstrate the use of microarrays to monitor splicing at every exon-exon junction in more than 10,000 multi-exon human genes in 52 tissues and cell lines. These genome-wide data provide experimental evidence and tissue distributions for thousands of known and novel alternative splicing events. Adding to previous studies, the results indicate that at least 74% of human multi-exon genes are alternatively spliced.

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Crossref · 10.1126/science.1090100

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Metadata

Authors
Johnson, J. M., Castle, J., Garrett-Engele, P., Kan, Z., Loerch, P. M., Armour, C. D., Santos, R., Schadt, E. E., Stoughton, R., & Shoemaker, D. D.
Venue
Science
Published
2003-12-19
Volume
302
Issue
5653
Pages
2141-2144
ISSN
  • 0036-8075 (ISSN-L)
  • 1095-9203
OpenAlex
W2096940705
Cited by
1,418
References
2
FWCI
35.71
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Genome-Wide Survey of Human Alternative Pre-mRNA Splicing with Exon Junction Microarrays. https://app.cochat.ai/papers/10.1126/science.1090100
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Johnson, J. M., Castle, J., Garrett-Engele, P., Kan, Z., Loerch, P. M., Armour, C. D., Santos, R., Schadt, E. E., Stoughton, R., & Shoemaker, D. D. (2003). Genome-Wide Survey of Human Alternative Pre-mRNA Splicing with Exon Junction Microarrays. Science. https://doi.org/10.1126/science.1090100

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.