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DNA Research
Article . 1997 . Peer-reviewed
Data sources: Crossref
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DNA Research
Article
License: CC BY NC
Data sources: UnpayWall
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DNA Research
Article . 1998
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Prediction of the Coding Sequences of Unidentified Human Genes. VIII. 78 New cDNA Clones from Brain Which Code for Large Proteins in vitro

Authors: K, Ishikawa; T, Nagase; D, Nakajima; N, Seki; M, Ohira; N, Miyajima; A, Tanaka; +3 Authors

Prediction of the Coding Sequences of Unidentified Human Genes. VIII. 78 New cDNA Clones from Brain Which Code for Large Proteins in vitro

Abstract

As a part of our project for accumulating sequence information of the coding regions of unidentified human genes, we herein report the sequence features of 78 new cDNA clones isolated from human brain cDNA libraries as those which may code for large proteins. The sequence data showed that the average size of the cDNA inserts and their open reading frames was 6.0 kb and 2.8 kb (925 amino acid residues), respectively, and these clones produced the corresponding sizes of protein products in an in vitro transcription/translation system. Homology search against the public databases indicated that the predicted coding sequences of 68 genes contained sequences similar to known genes, 69% of which (47 genes) were related to cell signaling/communication, nucleic acid management, and cell structure/motility. The expression profiles of these genes in 14 different tissues have been analyzed by the reverse transcription-coupled polymerase chain reaction method, and 8 genes were found to be predominantly expressed in the brain.

Related Organizations
Keywords

Brain Chemistry, DNA, Complementary, Transcription, Genetic, Chromosome Mapping, Gene Expression, Proteins, Zinc Fingers, Sequence Analysis, DNA, Polymerase Chain Reaction, Open Reading Frames, Sequence Homology, Nucleic Acid, Humans, Tissue Distribution

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
75
Top 10%
Top 10%
Top 10%
gold