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mRNA profiling of rat islet tumors reveals nkx 6.1 as a beta-cell-specific homeodomain transcription factor.

http://www.ncbi.nlm.nih.gov/pubmed/8702531

Development of a high capacity multiplex reverse transcriptase-polymerase chain reaction protocol has allowed us to screen lineage related rat islet tumors classified as alpha-, beta-, and delta-like as judged by their hormone profile for differential expression of more than 50 selected genes. We find that in addition to insulin the insulinoma express the normal beta-cell markers Pdx-1, IAPP, and Glut-2, and that these markers are absent from the glucagonoma: a reflection of the normal alpha-cell. Furthermore, this study suggests that the GLP-1, glucagon, GIP, IGF-1, and insulin receptors as well as E-cadherin, R-cadherin, Id-1, and Id-2 are differentially expressed within the islet of Langerhans. Importantly, insulinoma-specific expression of the recently cloned homeodomain protein Nkx 6.1 predicted beta-cell-specific expression in the normal islet. Immunohistochemistry using antibodies raised against recombinant Nkx 6.1 did indeed localize Nkx 6.1 expression exclusively to the nuclei of normal islet beta-cells. Apart from pancreatic islets only the antral part of the stomach contained Nkx 6.1 mRNA. We conclude that multiplex reverse transcriptase-polymerase chain reaction-based mRNA profiling is a powerful tool to identify differentially expressed genes within phenotypically related cells and propose that Nkx 6.1 is involved in specifying the unique characteristics of the beta-cell.

Pubmed ID: 8702531 RIS Download

Mesh terms: Adenoma, Islet Cell | Animals | Base Sequence | Biological Markers | DNA Primers | DNA, Complementary | Gene Expression | Hexokinase | Homeodomain Proteins | Immunohistochemistry | Islets of Langerhans | Molecular Sequence Data | Monosaccharide Transport Proteins | Pancreatic Hormones | Pancreatic Neoplasms | Phenotype | Polymerase Chain Reaction | RNA, Messenger | RNA, Neoplasm | Rats | Receptors, Cell Surface | Transcription Factors

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Mouse Genome Informatics (Data, Gene Annotation)

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