Sialylated form of the neural cell adhesion molecule (NCAM): a new tool for the identification and sorting of beta-cell subpopulations with different functional activity.

Author:

Bernard-Kargar C1,Kassis N1,Berthault M F1,Pralong W1,Ktorza A1

Affiliation:

1. Laboratoire de Physiopathologie de la Nutrition, CNRS ESA 7059, Université Paris, France. cbernard@paris7.jussieu.fr

Abstract

To clarify the relationship between variations in beta-cell mass and pancreatic function, we investigated the possibility to analyze, quantify, and sort beta-cell subpopulations with different functional maturity. To this aim, we tested the reliability of the sialylated form of neural cell adhesion molecule (NCAM) (PSA-NCAM) as a marker of beta-cell functional activity. Islet cells isolated from adult rats were analyzed for their PSA-NCAM abundance using an anti-PSA-NCAM antibody. We found that PSA-NCAM is expressed only in beta-cells. The PSA-NCAM labeling was also studied with a fluorescence-activated cell sorter. We showed that the beta-cell population is heterogeneous for PSA-NCAM labeling. To directly determine the relationship between PSA-NCAM labeling and beta-cell activity, in vitro insulin secretion studies were performed on sorted beta-cell subpopulations using a perifusion technique. Two beta-cell subpopulations were analyzed: one that was highly labeled for PSA-NCAM and another that was poorly labeled. Insulin secretion from high PSA-NCAM-labeled beta-cells was significantly higher than that in low PSA-NCAM-labeled beta-cells. This differential expression in the beta-cell population was well correlated with differences in glucose responsiveness. PSA-NCAM seems thus suitable for use as a tool to identify beta-cell subpopulations according to their glucose responsiveness.

Publisher

American Diabetes Association

Subject

Endocrinology, Diabetes and Metabolism,Internal Medicine

Cited by 37 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3