A transcript finishing initiative for closing gaps in the human transcriptome

Mari Cleide Sogayar, Anamaria A Camargo, Fabiana Bettoni, Dirce Maria Carraro, Lilian C Pires, Raphael B Parmigiani, Elisa N Ferreira, Eloísa de Sá Moreira, Maria do Rosário D de O Latorre, Andrew J G Simpson, Luciana Oliveira Cruz, Theri Leica Degaki, Fernanda Festa, Katlin B Massirer, Mari C Sogayar, Fernando Camargo Filho, Luiz Paulo Camargo, Marco A V Cunha, Sandro J De Souza, Milton FariaSilvana Giuliatti, Leonardo Kopp, Paulo S L de Oliveira, Paulo B Paiva, Anderson A Pereira, Daniel G Pinheiro, Renato D Puga, Jorge Estefano S de Souza, Dulcineia M Albuquerque, Luís E C Andrade, Gilson S Baia, Marcelo R S Briones, Ana M S Cavaleiro-Luna, Janete M Cerutti, Fernando F Costa, Eugenia Costanzi-Strauss, Enilza M Espreafico, Adriana C Ferrasi, Emer S Ferro, Maria A H Z Fortes, Joelma R F Furchi, Daniel Giannella-Neto, Gustavo H Goldman, Maria H S Goldman, Arthur Gruber, Gustavo S Guimarães, Christine Hackel, Flavio Henrique-Silva, Edna T Kimura, Silvia R Rogatto, Ludwig-FAPESP Transcript Finishing Initiative

Publikation: Bidrag til tidsskriftTidsskriftartikelForskningpeer review


We report the results of a transcript finishing initiative, undertaken for the purpose of identifying and characterizing novel human transcripts, in which RT-PCR was used to bridge gaps between paired EST clusters, mapped against the genomic sequence. Each pair of EST clusters selected for experimental validation was designated a transcript finishing unit (TFU). A total of 489 TFUs were selected for validation, and an overall efficiency of 43.1% was achieved. We generated a total of 59,975 bp of transcribed sequences organized into 432 exons, contributing to the definition of the structure of 211 human transcripts. The structure of several transcripts reported here was confirmed during the course of this project, through the generation of their corresponding full-length cDNA sequences. Nevertheless, for 21% of the validated TFUs, a full-length cDNA sequence is not yet available in public databases, and the structure of 69.2% of these TFUs was not correctly predicted by computer programs. The TF strategy provides a significant contribution to the definition of the complete catalog of human genes and transcripts, because it appears to be particularly useful for identification of low abundance transcripts expressed in a restricted set of tissues as well as for the delineation of gene boundaries and alternatively spliced isoforms.

TidsskriftGenome Research
Udgave nummer7
Sider (fra-til)1413-23
Antal sider11
StatusUdgivet - jul. 2004

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