Journal Article

Prediction of the Coding Sequences of Unidentified Human Genes. XVIII. The Complete Sequences of 100 New cDNA Clones from Brain Which Code for Large Proteins <i>in vitro</i>

Takahiro Nagase, Reiko Kikuno, Manabu Nakayama, Makoto Hirosawa and Osamu Ohara

in DNA Research

Published on behalf of Kazusa DNA Research Institute

Volume 7, issue 4, pages 271-281
Published in print January 2000 | ISSN: 1340-2838
Published online January 2000 | e-ISSN: 1756-1663 | DOI:

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In our series of human cDNA projects for accumulating sequence information on the coding sequences of unidentified genes, we herein present the entire sequences of100 cDNA clones of unidentified genes, named KIAA1544 to KIAA1643, from two sets of size-fractionated human adult and fetal brain cDNA libraries. The average sizes ofthe inserts and corresponding open reading frames ofcDNA clones analyzed here reached 4.6 kb and 2.8 kb (930 amino acid residues), respectively. By computer-assisted database search of the deduced amino acid sequences, 48 predicted gene products were classi.ed into the five functional categories ofproteins relating to cell signaling/communication, nucleic acid management, cell structure/motility, protein management and metabolism. Homology search against the databases for proteins deduced from yeast, nematode and fly full genome sequences revealed only one gene (KIAA1630) was entirely conserved among human and these three organisms in the 100 genes reported here. Additionally, their chromosomal loci were determined by using human-rodent hybrid panels unless they were already assigned in the public databases. Furthermore, the expression profiles ofthe genes were also studied in 10 human tissues, 8 brain regions, spinal cord, fetal brain and fetal liver by reverse transcription-coupled polymerase chain reaction, products ofwhic h were quanti.ed by enzyme-linked immunosorbent assay.

Keywords: large proteins; in vitro transcription/translation; cDNA sequencing; expression profile; chromosomal location; brain

Journal Article.  0 words. 

Subjects: Genetics and Genomics

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