Title |
Genome-Wide Survey of Human Alternative Pre-mRNA Splicing with Exon Junction Microarrays
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Published in |
Science, December 2003
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DOI | 10.1126/science.1090100 |
Pubmed ID | |
Authors |
Jason M. Johnson, John Castle, Philip Garrett-Engele, Zhengyan Kan, Patrick M. Loerch, Christopher D. Armour, Ralph Santos, Eric E. Schadt, Roland Stoughton, Daniel D. Shoemaker |
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. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 14 | 2% |
Germany | 7 | 1% |
United Kingdom | 6 | 1% |
France | 3 | <1% |
Italy | 3 | <1% |
China | 3 | <1% |
Poland | 2 | <1% |
Spain | 2 | <1% |
Australia | 1 | <1% |
Other | 8 | 1% |
Unknown | 544 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 163 | 27% |
Researcher | 139 | 23% |
Professor > Associate Professor | 55 | 9% |
Student > Master | 41 | 7% |
Student > Bachelor | 38 | 6% |
Other | 96 | 16% |
Unknown | 61 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 281 | 47% |
Biochemistry, Genetics and Molecular Biology | 119 | 20% |
Medicine and Dentistry | 38 | 6% |
Computer Science | 16 | 3% |
Neuroscience | 16 | 3% |
Other | 47 | 8% |
Unknown | 76 | 13% |