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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...

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Autores principales: Li, Fangjia, Hu, Dehong, Dieter, Cailin, Ansong, Charles, Sussel, Lori, Orr, Galya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Diabetes Association 2021
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.
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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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