Analysis of Porcine Transcriptome Using cDNA Libraries
Author Information
Author(s): Jan Gorodkin, Susanna Cirera, Jakob Hedegaard, Michael J. Gilchrist, Frank Panitz, Claus Jørgensen, Karsten Scheibye-Knudsen, Troels Arvin, Steen Lumholdt, Milena Sawera, Trine Green, Bente J. Nielsen, Jakob H. Havgaard, Carina Rosenkilde, Jun Wang, Heng Li, Ruiqiang Li, Bin Liu, Songnian Hu, Wei Dong, Wei Li, Jun Yu, Jian Wang, Hans-Henrik Stærfeldt, Rasmus Wernersson, Lone B. Madsen, Bo Thomsen, Henrik Hornshøj, Bujie Zhan, Xuegang Wang, Xuefei Wang, Lars Bolund, Søren Brunak, Huanming Yang, Christian Bendixen, Merete Fredholm
Primary Institution: The Royal Veterinary and Agricultural University
Hypothesis
What is the structure of gene expression in porcine tissues based on expressed sequence tags (ESTs)?
Conclusion
The study provides a comprehensive resource of porcine ESTs that is essential for genome annotation and further transcription studies.
Supporting Evidence
- The study identified approximately 6,000 new porcine gene clusters.
- Expression analysis revealed that brain and testes have the highest gene diversity.
- The assembled ESTs resulted in roughly 48,000 contigs and 73,000 singletons.
- The study provides a valuable resource for comparative genomics and functional studies.
Takeaway
Researchers studied pig genes by looking at over a million pieces of genetic information from different pig tissues to understand how genes work.
Methodology
The study involved analyzing 1,021,891 porcine ESTs from 98 cDNA libraries representing 35 tissues, using the Distiller package for assembly.
Potential Biases
Some libraries may have been contaminated or poorly constructed, affecting the reliability of the expression data.
Limitations
The study may have biases due to the non-normalized nature of the libraries and potential contamination in some samples.
Participant Demographics
The tissues were collected from 200 pigs, including cross-breeds from Landrace, Yorkshire, Duroc, and Hampshire, as well as a Chinese breed.
Digital Object Identifier (DOI)
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