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Proteomic analysis of insulin secretory granules in INS-1 cells by protein correlation profiling
ABSTRACT: Insulin secretory granules (ISGs), a group of distinguishing organelles in pancreatic β cells, are responsible for the storage and secretion of insulin to maintain blood glucose homeostasis. The molecular mechanisms of ISG biogenesis, maturation, transportation, and exocytosis are still la...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Berlin Heidelberg
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276070/ https://www.ncbi.nlm.nih.gov/pubmed/30596141 http://dx.doi.org/10.1007/s41048-018-0061-3 |
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author | Li, Min Du, Wen Zhou, Maoge Zheng, Li Song, Eli Hou, Junjie |
author_facet | Li, Min Du, Wen Zhou, Maoge Zheng, Li Song, Eli Hou, Junjie |
author_sort | Li, Min |
collection | PubMed |
description | ABSTRACT: Insulin secretory granules (ISGs), a group of distinguishing organelles in pancreatic β cells, are responsible for the storage and secretion of insulin to maintain blood glucose homeostasis. The molecular mechanisms of ISG biogenesis, maturation, transportation, and exocytosis are still largely unknown because the proteins involved in these distinct steps have not been fully identified. Subcellular fractionation by density gradient centrifugation has been successfully employed to analyze the proteomes of numerous organelles. However, use of this method to elucidate the ISG proteome is limited by co-fractionated contaminants because ISGs are very dynamic and have abundant exchanges or contacts with other organelles, such as the Golgi apparatus, lysosomes, and endosomes. In this study, we developed a new strategy for identifying ISG proteins by protein correlation profiling (PCP)-based proteomics, which included ISG purification by OptiPrep density gradient centrifugation, label-free quantitative proteome, and identification of ISG proteins by correlating fractionation profiles between candidates and known ISG markers. Using this approach, we were able to identify 81 ISG proteins. Among them, TM9SF3, a nine-transmembrane protein, was considered a high confidence ISG candidate protein highlighted in the PCP network. Further biochemical and immunofluorescence assays indicated that TM9SF3 localized in ISGs, suggesting that it is a potential new ISG marker. GRAPHICAL ABSTRACT: [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s41048-018-0061-3) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6276070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-62760702018-12-26 Proteomic analysis of insulin secretory granules in INS-1 cells by protein correlation profiling Li, Min Du, Wen Zhou, Maoge Zheng, Li Song, Eli Hou, Junjie Biophys Rep Methods ABSTRACT: Insulin secretory granules (ISGs), a group of distinguishing organelles in pancreatic β cells, are responsible for the storage and secretion of insulin to maintain blood glucose homeostasis. The molecular mechanisms of ISG biogenesis, maturation, transportation, and exocytosis are still largely unknown because the proteins involved in these distinct steps have not been fully identified. Subcellular fractionation by density gradient centrifugation has been successfully employed to analyze the proteomes of numerous organelles. However, use of this method to elucidate the ISG proteome is limited by co-fractionated contaminants because ISGs are very dynamic and have abundant exchanges or contacts with other organelles, such as the Golgi apparatus, lysosomes, and endosomes. In this study, we developed a new strategy for identifying ISG proteins by protein correlation profiling (PCP)-based proteomics, which included ISG purification by OptiPrep density gradient centrifugation, label-free quantitative proteome, and identification of ISG proteins by correlating fractionation profiles between candidates and known ISG markers. Using this approach, we were able to identify 81 ISG proteins. Among them, TM9SF3, a nine-transmembrane protein, was considered a high confidence ISG candidate protein highlighted in the PCP network. Further biochemical and immunofluorescence assays indicated that TM9SF3 localized in ISGs, suggesting that it is a potential new ISG marker. GRAPHICAL ABSTRACT: [Image: see text] ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s41048-018-0061-3) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-08-29 2018 /pmc/articles/PMC6276070/ /pubmed/30596141 http://dx.doi.org/10.1007/s41048-018-0061-3 Text en © The Author(s) 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. |
spellingShingle | Methods Li, Min Du, Wen Zhou, Maoge Zheng, Li Song, Eli Hou, Junjie Proteomic analysis of insulin secretory granules in INS-1 cells by protein correlation profiling |
title | Proteomic analysis of insulin secretory granules in INS-1 cells by protein correlation profiling |
title_full | Proteomic analysis of insulin secretory granules in INS-1 cells by protein correlation profiling |
title_fullStr | Proteomic analysis of insulin secretory granules in INS-1 cells by protein correlation profiling |
title_full_unstemmed | Proteomic analysis of insulin secretory granules in INS-1 cells by protein correlation profiling |
title_short | Proteomic analysis of insulin secretory granules in INS-1 cells by protein correlation profiling |
title_sort | proteomic analysis of insulin secretory granules in ins-1 cells by protein correlation profiling |
topic | Methods |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6276070/ https://www.ncbi.nlm.nih.gov/pubmed/30596141 http://dx.doi.org/10.1007/s41048-018-0061-3 |
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