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Biomedical subjects

Liat Mintz

Publications and source records attributed to Liat Mintz.

3 recordsLinked to original sources

Unusual alternative splicing within the human kallikrein genes KLK2 and KLK3 gives rise to novel prostate-specific proteins.

Prostate-specific antigen (PSA) and human kallikrein 2 are closely related products of the human kallikrein genes KLK3 and KLK2, respectively. Both PSA and human kallikrein 2 are produced and secreted in the prostate and have important applications in the diagnosis of prostate cancer. We report here the identification of unusual mRNA splice variants of the KLK2 and KLK3 genes that result from inclusion of intronic sequences adjacent to the first exon. The novel proteins encoded by these transcripts, named PSA-linked molecule (PSA-LM) and hK2-linked molecule (K-LM), share only the signal peptide with the original protein product of the respective gene. The mature proteins are entirely different and bear no similarity to the kallikrein family or to other proteins in the databases. As is the case with PSA, PSA-LM is expressed in the secretory epithelial cells of the prostate and is up-regulated in response to androgenic stimulation. A similar pattern of expression is suggested for K-LM.

Alternative Splicing↗

Computational analysis of alternative splicing using EST tissue information.

Expressed sequence tags (ESTs) from normal and tumor tissues have been deposited in public databases. These ESTs and all mRNA sequences were aligned with the human genome sequence using LEADS, Compugen's alternative splicing modeling platform. We developed a novel computational approach to analyze tissue information of aligned ESTs in order to identify cancer-specific alternative splicing and gene segments highly expressed in particular cancers. Several genes, including one encoding a possible pre-mRNA splicing factor, displayed cancer-specific alternative splicing. In addition, multiple candidate gene segments highly expressed in colon cancers were identified.

Alternative Splicing↗

Large-scale protein annotation through gene ontology.

Recent progress in genomic sequencing, computational biology, and ontology development has presented an opportunity to investigate biological systems from a unique perspective, that is, examining genomes and transcriptomes through the multiple and hierarchical structure of Gene Ontology (GO). We report here our development of GO Engine, a computational platform for GO annotation, and analysis of the resultant GO annotations of human proteins. Protein annotation was centered on sequence homology with GO-annotated proteins and protein domain analysis. Text information analysis and a multiparameter cellular localization predictive tool were also used to increase the annotation accuracy, and to predict novel annotations. The majority of proteins corresponding to full-length mRNA in GenBank, and the majority of proteins in the NR database (nonredundant database of proteins) were annotated with one or more GO nodes in each of the three GO categories. The annotations of GenBank and SWISS-PROT proteins are available to the public at the GO Consortium web site.

Animals↗