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Expression of a Specific Subset of CD44 Variant Transcripts in NOD Pancreatic Islets

Overview of attention for article published in Diabetes, June 1996
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Article details
Title
Expression of a Specific Subset of CD44 Variant Transcripts in NOD Pancreatic Islets
Published in
Diabetes, June 1996
DOI 10.2337/diab.45.6.718
Pubmed ID
Authors
Abstract

Adhesion of lymphocytes to the endothelial venules inside the islets of Langerhans seems to initiate the infiltration of islets in NOD mice. An overexpression of the lymphocyte surface molecule CD44 in infiltrated NOD islets compared with peripheral blood lymphocytes was recently reported. The CD44 protein family includes a variety of molecules generated by alternative RNA splicing from 10 variant exons (v1-v10). By using reverse transcriptase-polymerase chain reaction followed by Southern blotting and hybridization to exon-specific cDNA probes, we investigated the expression of CD44 isoforms in highly purified islets of Langerhans from 4- and 10-week-old NOD mice. At least six CD44 isoforms were strongly overexpressed in NOD islets at 4 and 10 weeks when compared with age-matched BALB/c islets. Controls in different tissues indicate that these variants are specifically increased in the islets from the NOD strain. Islets from the NOD-scid/scid strain also expressed these variant exons. Splenocytes from BALB/c did not express CD44 isoforms, whereas splenocytes from 4-week-old NOD mice did express CD44 variants. Treatment with inflammatory mediators induced new isoforms; however, these transcripts have a different variant exon composition from that found in NOD mice islets. These results suggest that some isoforms are expressed very early in the development of insulitis by a component of the NOD islet itself and underscore a possible role of CD44 in islet infiltration.

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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Researcher 2 20%
Student > Master 2 20%
Student > Postgraduate 1 10%
Unknown 1 10%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 3 30%
Immunology and Microbiology 2 20%
Biochemistry, Genetics and Molecular Biology 1 10%
Nursing and Health Professions 1 10%
Agricultural and Biological Sciences 1 10%
Other 0 0%
Unknown 2 20%