Skip to Main Content (Press Enter)

Logo UNISR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNIFIND
Logo UNISR

|

UNIFIND

unisr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Identification and mapping of human cDNAs homologous to Drosophila mutant genes through EST database searching

Academic Article
Publication Date:
1996
Short description:
Identification and mapping of human cDNAs homologous to Drosophila mutant genes through EST database searching / Banfi, S; Borsani, G; Rossi, E; Bernard, L; Guffanti, A; Rubboli, F; Marchitiello, A; Giglio, S; Coluccia, Elisabetta; Zollo, M; Zuffardi, O; Ballabio, A.. - In: NATURE GENETICS. - ISSN 1061-4036. - 13:(1996), pp. 167-174.
abstract:
Cross−species comparison is an effective tool used to identify genes and study their function in both normal and pathological conditions. We have applied the power of Drosophila genetics to the vast resource of human cDNAs represented in the expressed sequence tag (EST) database (dbEST) to identify novel human genes of high biological interest. Sixty−six human cDNAs showing significant homology to genes causing Drosophila mutant phenotypes were identified by screening dbEST using the 'text string' option, and their map position was determined using both fluorescence in situ hybridization (FISH) and radiation hybrid mapping. Comparison between these genes and their putative partners in Drosophila may provide important insights into their function in mammals. Furthermore, integration of these genes into the transcription map of the human genome contributes to the positional candidate approach for disease gene identification.
Iris type:
1.1 Articolo in rivista
List of contributors:
Banfi, S; Borsani, G; Rossi, E; Bernard, L; Guffanti, A; Rubboli, F; Marchitiello, A; Giglio, S; Coluccia, Elisabetta; Zollo, M; Zuffardi, O; Ballabio, A.
Authors of the University:
GIGLIO SABRINA RITA
Handle:
https://iris.unisr.it/handle/20.500.11768/196336
Published in:
NATURE GENETICS
Journal
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.1.0