Literature DB >> 8486351

The short 3'-end region of complementary DNAs as PCR-based polymorphic markers for an expression map of the mouse genome.

N Takahashi1, M S Ko.   

Abstract

Ideal markers for a complementary DNA (cDNA) map of the mouse genome should be amplifiable by the polymerase chain reaction (PCR) and they should be polymorphic for genetic mapping, as well as unique for physical mapping. In our search for such markers, we did comparative sequencing of PCR-amplified genomic DNAs derived from 15 inbred strains and found that about 250 bp of the 3'-end region (3'-ER) of cDNAs, which is the sequence immediately upstream from the poly(A) tail, was polymorphic enough to distinguish the allele of a laboratory strain from that of a wild strain (Mus spretus) in 14 of 22 cDNAs tested. Specifically, in 9 of these 14 cDNAs, each allele was identified by the restriction fragment length polymorphism. This data indicates that about 65% of the 3'-ERs of cDNAs can be automatically transformed into PCR-based genetic markers named "biallelic polymorphic expressed sequence tags (bESTs)." These markers can be easily and precisely mapped by typing of the panels of interspecific backcrosses. Because a large number of bEST markers can be efficiently obtained by a single-run automated sequencing of randomly selected cDNAs, these markers will greatly facilitate the construction of high-resolution genetic and physical maps of expressed sequences of the mouse genome.

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Year:  1993        PMID: 8486351     DOI: 10.1006/geno.1993.1153

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  10 in total

1.  Random monoallelic expression of three genes clustered within 60 kb of mouse t complex genomic DNA.

Authors:  Y Sano; T Shimada; H Nakashima; R H Nicholson; J F Eliason; T A Kocarek; M S Ko
Journal:  Genome Res       Date:  2001-11       Impact factor: 9.043

2.  Screening for imprinted genes by allelic message display: identification of a paternally expressed gene impact on mouse chromosome 18.

Authors:  Y Hagiwara; M Hirai; K Nishiyama; I Kanazawa; T Ueda; Y Sakaki; T Ito
Journal:  Proc Natl Acad Sci U S A       Date:  1997-08-19       Impact factor: 11.205

3.  Differential replication timing of X-linked genes measured by a novel method using single-nucleotide primer extension.

Authors:  Z Xiong; W Tsark; J Singer-Sam; A D Riggs
Journal:  Nucleic Acids Res       Date:  1998-01-15       Impact factor: 16.971

Review 4.  Single-strand conformation polymorphism (SSCP) analysis as a tool for genetic mapping.

Authors:  D R Beier
Journal:  Mamm Genome       Date:  1993-11       Impact factor: 2.957

5.  Maps from two interspecific backcross DNA panels available as a community genetic mapping resource.

Authors:  L B Rowe; J H Nadeau; R Turner; W N Frankel; V A Letts; J T Eppig; M S Ko; S J Thurston; E H Birkenmeier
Journal:  Mamm Genome       Date:  1994-05       Impact factor: 2.957

6.  The gene for microtubule-associated protein 4 (Mtap4) maps to the distal region of mouse chromosome 9.

Authors:  M E Mangan; J B Olmsted
Journal:  Mamm Genome       Date:  1996-12       Impact factor: 2.957

Review 7.  A systematic molecular genetic approach to study mammalian germline development.

Authors:  K Abe; M S Ko; G R MacGregor
Journal:  Int J Dev Biol       Date:  1998       Impact factor: 2.203

8.  Mapping of the MEK kinase gene (Mekk) to mouse chromosome 13 and human chromosome 5.

Authors:  B S Vinik; E S Kay; F T Fiedorek
Journal:  Mamm Genome       Date:  1995-11       Impact factor: 2.957

9.  Spatial separation of parental genomes in preimplantation mouse embryos.

Authors:  W Mayer; A Smith; R Fundele; T Haaf
Journal:  J Cell Biol       Date:  2000-02-21       Impact factor: 10.539

Review 10.  Unveiling ncRNA regulatory axes in atherosclerosis progression.

Authors:  Estanislao Navarro; Adrian Mallén; Josep M Cruzado; Joan Torras; Miguel Hueso
Journal:  Clin Transl Med       Date:  2020-02-03
  10 in total

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