Mining the human genome using microarrays of open reading frames View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2000-11

AUTHORS

Sharron G. Penn, David R. Rank, David K. Hanzel, David L. Barker

ABSTRACT

To test the hypothesis that the human genome project will uncover many genes not previously discovered by sequencing of expressed sequence tags (ESTs), we designed and produced a set of microarrays using probes based on open reading frames (ORFs) in 350 Mb of finished and draft human sequence. Our approach aims to identify all genes directly from genomic sequence by querying gene expression. We analysed genomic sequence with a suite of ORF prediction programs, selected approximately one ORF per gene, amplified the ORFs from genomic DNA and arrayed the amplicons onto treated glass slides. Of the first 10,000 arrayed ORFs, 31% are completely novel and 29% are similar, but not identical, to sequences in public databases. Approximately one-half of these are expressed in the tissues we queried by microarray. Subsequent verification by other techniques confirmed expression of several of the novel genes. Expressed sequence tags (ESTs) have yielded vast amounts of data, but our results indicate that many genes in the human genome will only be found by genomic sequencing. More... »

PAGES

315

References to SciGraph publications

Journal

TITLE

Nature Genetics

ISSUE

3

VOLUME

26

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/81613

DOI

http://dx.doi.org/10.1038/81613

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1043900588

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/11062470


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