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Single Molecule–Based fliFISH Validates Radial and Heterogeneous Gene Expression Patterns in Pancreatic Islet β-Cells
Single-cell RNA-sequencing (scRNA-Seq) technologies have greatly enhanced our understanding of islet cell transcriptomes and have revealed the existence of β-cell heterogeneity. However, comparison of scRNA-Seq data sets from different groups have highlighted inconsistencies in gene expression patte...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Diabetes Association
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173798/ https://www.ncbi.nlm.nih.gov/pubmed/33685924 http://dx.doi.org/10.2337/db20-0802 |
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author | Li, Fangjia Hu, Dehong Dieter, Cailin Ansong, Charles Sussel, Lori Orr, Galya |
author_facet | Li, Fangjia Hu, Dehong Dieter, Cailin Ansong, Charles Sussel, Lori Orr, Galya |
author_sort | Li, Fangjia |
collection | PubMed |
description | Single-cell RNA-sequencing (scRNA-Seq) technologies have greatly enhanced our understanding of islet cell transcriptomes and have revealed the existence of β-cell heterogeneity. However, comparison of scRNA-Seq data sets from different groups have highlighted inconsistencies in gene expression patterns, primarily due to variable detection of lower abundance transcripts. Furthermore, such analyses are unable to uncover the spatial organization of heterogeneous gene expression. In this study, we used fluctuation localization imaging–based fluorescence in situ hybridization (fliFISH) to quantify transcripts in single cells in mouse pancreatic islet sections. We compared the expression patterns of Insulin 2 (Ins2) with Mafa and Ucn3, two genes expressed in β-cells as they mature, as well as Rgs4, a factor with variably reported expression in the islet. This approach accurately quantified transcripts across a wide range of expression levels, from single copies to >100 copies/cell in one islet. Importantly, fliFISH allowed evaluation of transcript heterogeneity in the spatial context of an intact islet. These studies confirm the existence of a high degree of heterogeneous gene expression levels within the islet and highlight relative and radial expression patterns that likely reflect distinct β-cell maturation states along the radial axis of the islet. |
format | Online Article Text |
id | pubmed-8173798 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | American Diabetes Association |
record_format | MEDLINE/PubMed |
spelling | pubmed-81737982021-07-20 Single Molecule–Based fliFISH Validates Radial and Heterogeneous Gene Expression Patterns in Pancreatic Islet β-Cells Li, Fangjia Hu, Dehong Dieter, Cailin Ansong, Charles Sussel, Lori Orr, Galya Diabetes Islet Studies Single-cell RNA-sequencing (scRNA-Seq) technologies have greatly enhanced our understanding of islet cell transcriptomes and have revealed the existence of β-cell heterogeneity. However, comparison of scRNA-Seq data sets from different groups have highlighted inconsistencies in gene expression patterns, primarily due to variable detection of lower abundance transcripts. Furthermore, such analyses are unable to uncover the spatial organization of heterogeneous gene expression. In this study, we used fluctuation localization imaging–based fluorescence in situ hybridization (fliFISH) to quantify transcripts in single cells in mouse pancreatic islet sections. We compared the expression patterns of Insulin 2 (Ins2) with Mafa and Ucn3, two genes expressed in β-cells as they mature, as well as Rgs4, a factor with variably reported expression in the islet. This approach accurately quantified transcripts across a wide range of expression levels, from single copies to >100 copies/cell in one islet. Importantly, fliFISH allowed evaluation of transcript heterogeneity in the spatial context of an intact islet. These studies confirm the existence of a high degree of heterogeneous gene expression levels within the islet and highlight relative and radial expression patterns that likely reflect distinct β-cell maturation states along the radial axis of the islet. American Diabetes Association 2021-03-08 2021-05 /pmc/articles/PMC8173798/ /pubmed/33685924 http://dx.doi.org/10.2337/db20-0802 Text en © 2021 by the American Diabetes Association https://www.diabetesjournals.org/content/licenseReaders may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered. More information is available at https://www.diabetesjournals.org/content/license. |
spellingShingle | Islet Studies Li, Fangjia Hu, Dehong Dieter, Cailin Ansong, Charles Sussel, Lori Orr, Galya Single Molecule–Based fliFISH Validates Radial and Heterogeneous Gene Expression Patterns in Pancreatic Islet β-Cells |
title | Single Molecule–Based fliFISH Validates Radial and Heterogeneous Gene Expression Patterns in Pancreatic Islet β-Cells |
title_full | Single Molecule–Based fliFISH Validates Radial and Heterogeneous Gene Expression Patterns in Pancreatic Islet β-Cells |
title_fullStr | Single Molecule–Based fliFISH Validates Radial and Heterogeneous Gene Expression Patterns in Pancreatic Islet β-Cells |
title_full_unstemmed | Single Molecule–Based fliFISH Validates Radial and Heterogeneous Gene Expression Patterns in Pancreatic Islet β-Cells |
title_short | Single Molecule–Based fliFISH Validates Radial and Heterogeneous Gene Expression Patterns in Pancreatic Islet β-Cells |
title_sort | single molecule–based flifish validates radial and heterogeneous gene expression patterns in pancreatic islet β-cells |
topic | Islet Studies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173798/ https://www.ncbi.nlm.nih.gov/pubmed/33685924 http://dx.doi.org/10.2337/db20-0802 |
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