Literature DB >> 7764463

Identification of new genes by systematic analysis of cDNAs and database construction.

K Matsubara1, K Okubo.   

Abstract

The large-scale collection of partial cDNA sequences is becoming a powerful tool in biology. Similarity or motif searches in DNA databases using these partial cDNA sequences have facilitated the discovery of new genes of interest. By collecting and registering large numbers of partial sequences with a well designed non-biased cDNA library, an expression profile of active genes in a particular tissue can be obtained. Tissue-specific or stage-specific genes can be discovered by comparing the profiles from different tissues or from a tissue at different stages of development, respectively. The compilation of such expression profiles enables genes to be mapped to the tissue(s) where they are actively transcribed. The large-scale collation of gene sequences actively expressed in the body into databases complements efforts directed towards the structural analysis of the genome, with the ultimate aim of decoding all the genetic information carried in the human genome. This cDNA strategy is also being widely applied to organisms other than man.

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Year:  1993        PMID: 7764463     DOI: 10.1016/0958-1669(93)90048-2

Source DB:  PubMed          Journal:  Curr Opin Biotechnol        ISSN: 0958-1669            Impact factor:   9.740


  6 in total

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2.  Alternative gene form discovery and candidate gene selection from gene indexing projects.

Authors:  J Burke; H Wang; W Hide; D B Davison
Journal:  Genome Res       Date:  1998-03       Impact factor: 9.043

3.  d2_cluster: a validated method for clustering EST and full-length cDNAsequences.

Authors:  J Burke; D Davison; W Hide
Journal:  Genome Res       Date:  1999-11       Impact factor: 9.043

4.  A comprehensive approach to clustering of expressed human gene sequence: the sequence tag alignment and consensus knowledge base.

Authors:  R T Miller; A G Christoffels; C Gopalakrishnan; J Burke; A A Ptitsyn; T R Broveak; W A Hide
Journal:  Genome Res       Date:  1999-11       Impact factor: 9.043

Review 5.  The emergence of lncRNAs in cancer biology.

Authors:  John R Prensner; Arul M Chinnaiyan
Journal:  Cancer Discov       Date:  2011-10       Impact factor: 39.397

6.  Survey of transcripts in the adult Drosophila brain.

Authors:  K L Posey; L B Jones; R Cerda; M Bajaj; T Huynh; P E Hardin; S H Hardin
Journal:  Genome Biol       Date:  2001-02-21       Impact factor: 13.583

  6 in total

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