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| Status |
Public on Jul 20, 2005 |
| Title |
LongSAGE analysis significantly improves genome annotation |
| Organism |
Mus musculus |
| Experiment type |
Expression profiling by SAGE
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| Summary |
Owing to its increased tag length, LongSAGE tags are expected to be more reliable in direct assignment to genome sequences. Therefore, we evaluated the use of LongSAGE data in genome annotation by using our LongSAGE dataset of 202 015 tags (consisting of 41 718 unique tags), experimentally generated from mouse embryonic tail libraries. RESULTS: A fraction of LongSAGE tags could not be unambiguously assigned to its gene, due to the presence of widely conserved sequences downstream of particular CATG anchor sites. The presence of alternative forms of transcripts was confirmed in 45% of all detected genes. Surprisingly, a large fraction of LongSAGE tags with hits to the genome (66%) could not be assigned to any gene annotated in EnsEMBL. Among such cases, 2098 LongSAGE tags fell into a region containing a putative gene predicted by GenScan, providing experimental evidence for the presence of real genes, while 9112 genes were found out to be left out or wrongly annotated by the EnsEMBL pipeline. CONCLUSIONS: LongSAGE transcriptome data can significantly improve the genome annotation by identifying novel genes and alternative transcripts, even in the case of thus far best-characterized organisms like the mouse.
Keywords: other
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| Overall design |
Owing to its increased tag length, LongSAGE tags are expected to be more reliable in direct assignment to genome sequences. Therefore, we evaluated the use of LongSAGE data in genome annotation by using our LongSAGE dataset of 202 015 tags (consisting of 41 718 unique tags), experimentally generated from mouse embryonic tail libraries.
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| Citation(s) |
15591356, 15585522 |
| |
| Submission date |
Jul 20, 2005 |
| Last update date |
Mar 16, 2012 |
| Contact name |
Matthias Wahl |
| E-mail(s) |
mbw@stowers-institute.org
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| Phone |
++49 89 3187 4117
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| Fax |
++49 89 3187 3099
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| Organization name |
GSF - National Research Center for Environment and Health
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| Department |
Institute of Developmental Genetics
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| Street address |
Ingolstaedter Landstrasse 1
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| City |
Neuherberg |
| ZIP/Postal code |
D-85764 |
| Country |
Germany |
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| Platforms (1) |
| GPL1349 |
SAGE:17:NlaIII:Mus musculus |
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| Samples (1) |
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| Relations |
| BioProject |
PRJNA91953 |
