A Genome-Based Resource for Molecular Cardiovascular Medicine Toward a Compendium of Cardiovascular Genes

摘要: Background Large-scale partial sequencing of cDNA libraries to generate expressed sequence tags (ESTs) is an effective means discovering novel genes and characterizing transcription patterns in different tissues. To catalogue the identities expression levels cardiovascular system, we initiated large-scale analysis human cardiac libraries. Methods Results Using automated DNA sequencing, generated 43 285 ESTs from heart libraries. An additional 41 619 were retrieved public databases, for a total 84 904 representing more than 26 million nucleotides raw data 13 independent system–based Of these, 55% matched known Genbank/EMBL/DDBJ 33% only other ESTs, 12% did not match any sequences (designated or CVbESTs). that classified according function, allowing detection differences general between various tissues developmental stages system. In silico Northern gene matches identified widely as well putatively exhibiting greater tissue specificity stage specificity. More detailed 48 potentially overexpressed hypertrophy, at least 10 which previously documented differentially expressed. Computer-based chromosomal localizations 1048 performed further assist search disease-related genes. Conclusions These represent most extensive compilation information date. They demonstrate untapped potential genome research investigating questions related biology first-generation genome-based resource molecular medicine.