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Discoveries in Pancreatic Physiology and Disease Biology Using Single-Cell RNA Sequencing
Transcriptome analysis is used to study gene expression in human tissues. It can promote the discovery of new therapeutic targets for related diseases by characterizing the endocrine function of pancreatic physiology and pathology, as well as the gene expression of pancreatic tumors. Compared to who...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819087/ https://www.ncbi.nlm.nih.gov/pubmed/35141228 http://dx.doi.org/10.3389/fcell.2021.732776 |
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author | Fu, Haotian Sun, Hongwei Kong, Hongru Lou, Bin Chen, Hao Zhou, Yilin Huang, Chaohao Qin, Lei Shan, Yunfeng Dai, Shengjie |
author_facet | Fu, Haotian Sun, Hongwei Kong, Hongru Lou, Bin Chen, Hao Zhou, Yilin Huang, Chaohao Qin, Lei Shan, Yunfeng Dai, Shengjie |
author_sort | Fu, Haotian |
collection | PubMed |
description | Transcriptome analysis is used to study gene expression in human tissues. It can promote the discovery of new therapeutic targets for related diseases by characterizing the endocrine function of pancreatic physiology and pathology, as well as the gene expression of pancreatic tumors. Compared to whole-tissue RNA sequencing, single-cell RNA sequencing (scRNA-seq) can detect transcriptional activity within a single cell. The scRNA-seq had an invaluable contribution to discovering previously unknown cell subtypes in normal and diseased pancreases, studying the functional role of rare islet cells, and studying various types of cells in diabetes as well as cancer. Here, we review the recent in vitro and in vivo advances in understanding the pancreatic physiology and pathology associated with single-cell sequencing technology, which may provide new insights into treatment strategy optimization for diabetes and pancreatic cancer. |
format | Online Article Text |
id | pubmed-8819087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88190872022-02-08 Discoveries in Pancreatic Physiology and Disease Biology Using Single-Cell RNA Sequencing Fu, Haotian Sun, Hongwei Kong, Hongru Lou, Bin Chen, Hao Zhou, Yilin Huang, Chaohao Qin, Lei Shan, Yunfeng Dai, Shengjie Front Cell Dev Biol Cell and Developmental Biology Transcriptome analysis is used to study gene expression in human tissues. It can promote the discovery of new therapeutic targets for related diseases by characterizing the endocrine function of pancreatic physiology and pathology, as well as the gene expression of pancreatic tumors. Compared to whole-tissue RNA sequencing, single-cell RNA sequencing (scRNA-seq) can detect transcriptional activity within a single cell. The scRNA-seq had an invaluable contribution to discovering previously unknown cell subtypes in normal and diseased pancreases, studying the functional role of rare islet cells, and studying various types of cells in diabetes as well as cancer. Here, we review the recent in vitro and in vivo advances in understanding the pancreatic physiology and pathology associated with single-cell sequencing technology, which may provide new insights into treatment strategy optimization for diabetes and pancreatic cancer. Frontiers Media S.A. 2022-01-24 /pmc/articles/PMC8819087/ /pubmed/35141228 http://dx.doi.org/10.3389/fcell.2021.732776 Text en Copyright © 2022 Fu, Sun, Kong, Lou, Chen, Zhou, Huang, Qin, Shan and Dai. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cell and Developmental Biology Fu, Haotian Sun, Hongwei Kong, Hongru Lou, Bin Chen, Hao Zhou, Yilin Huang, Chaohao Qin, Lei Shan, Yunfeng Dai, Shengjie Discoveries in Pancreatic Physiology and Disease Biology Using Single-Cell RNA Sequencing |
title | Discoveries in Pancreatic Physiology and Disease Biology Using Single-Cell RNA Sequencing |
title_full | Discoveries in Pancreatic Physiology and Disease Biology Using Single-Cell RNA Sequencing |
title_fullStr | Discoveries in Pancreatic Physiology and Disease Biology Using Single-Cell RNA Sequencing |
title_full_unstemmed | Discoveries in Pancreatic Physiology and Disease Biology Using Single-Cell RNA Sequencing |
title_short | Discoveries in Pancreatic Physiology and Disease Biology Using Single-Cell RNA Sequencing |
title_sort | discoveries in pancreatic physiology and disease biology using single-cell rna sequencing |
topic | Cell and Developmental Biology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8819087/ https://www.ncbi.nlm.nih.gov/pubmed/35141228 http://dx.doi.org/10.3389/fcell.2021.732776 |
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