Global Identification of Human Transcribed Sequences with Genome Tiling Arrays

Author:

Bertone Paul12345,Stolc Viktor12345,Royce Thomas E.12345,Rozowsky Joel S.12345,Urban Alexander E.12345,Zhu Xiaowei12345,Rinn John L.12345,Tongprasit Waraporn12345,Samanta Manoj12345,Weissman Sherman12345,Gerstein Mark12345,Snyder Michael12345

Affiliation:

1. Department of Molecular, Cellular, and Developmental Biology, Yale University, New Haven, CT 06520–8103, USA.

2. Center for Nanotechnology, NASA Ames Research Center, Moffett Field, CA 94035, USA.

3. Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520–8114, USA.

4. Eloret Corporation, Sunnyvale, CA 94087, USA

5. Department of Genetics, Yale University School of Medicine, New Haven, CT 06520–8005, USA.

Abstract

Elucidating the transcribed regions of the genome constitutes a fundamental aspect of human biology, yet this remains an outstanding problem. To comprehensively identify coding sequences, we constructed a series of high-density oligonucleotide tiling arrays representing sense and antisense strands of the entire nonrepetitive sequence of the human genome. Transcribed sequences were located across the genome via hybridization to complementary DNA samples, reverse-transcribed from polyadenylated RNA obtained from human liver tissue. In addition to identifying many known and predicted genes, we found 10,595 transcribed sequences not detected by other methods. A large fraction of these are located in intergenic regions distal from previously annotated genes and exhibit significant homology to other mammalian proteins.

Publisher

American Association for the Advancement of Science (AAAS)

Subject

Multidisciplinary

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