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Single-cell RNA Sequencing and Analysis of Human Pancreatic Islets
Published on: July 18, 2019
Use of microarray analysis to unveil transcription factor and gene networks contributing to Beta cell dysfunction and
Decio L Eizirik1, Burak Kutlu, Joanne Rasschaert
1Laboratory of Experimental Medicine, Université Libre de Bruxelles, B-1070 Brussels, Belgium. deizirik@ulb.ac.be
Abstract:
The beta cell fate following immune-mediated damage depends on an intricate pattern of dozens of genes up- or downregulated in parallel and/or sequentially. We are utilizing microarray analysis to clarify the pattern of gene expression in primary rat beta cells exposed to the proapoptotic cytokines, IL-1beta and/or IFN-gamma. The picture emerging from these experiments is that beta cells are not passive bystanders of their own destruction. On the contrary, beta cells respond to damage by activating diverse networks of transcription factors and genes that may either lead to apoptosis or preserve viability. Of note, cytokine-exposed beta cells produce and release chemokines that may contribute to the homing and activation of T cells and macrophages during insulitis. Several of the effects of cytokines depend on the activation of the transcription factor, NF-kappaB. NF-kappaB blocking prevents cytokine-induced beta cell death, and characterization of NF-kappaB-dependent genes by microarray analysis indicated that this transcription factor controls diverse networks of transcription factors and effector genes that are relevant for maintenance of beta cell differentiated status, cytosolic and ER calcium homeostasis, attraction of mononuclear cells, and apoptosis. Identification of this and additional "transcription factor networks" is being pursued by cluster analysis of gene expression in insulin-producing cells exposed to cytokines for different time periods. Identification of complex gene patterns poses a formidable challenge, but is now technically feasible. These accumulating evidences may finally unveil the molecular mechanisms regulating the beta cell "decision" to undergo or not apoptosis in early T1DM.
Insights
Beta cells actively respond to immune damage by altering gene expression, potentially leading to either death or survival. Nuclear factor-kappa B (NF-kappaB) plays a crucial role in regulating these responses and attracting immune cells.
Area of Science:
- Immunology
- Molecular Biology
- Endocrinology
Background:
- Immune-mediated damage in Type 1 Diabetes Mellitus (T1DM) affects beta cell fate through complex gene expression changes.
- Beta cells are not passive victims but actively respond to inflammatory cytokines like Interleukin-1 beta (IL-1beta) and Interferon-gamma (IFN-gamma).
Purpose of the Study:
- To clarify gene expression patterns in primary rat beta cells exposed to proapoptotic cytokines (IL-1beta and/or IFN-gamma) using microarray analysis.
- To investigate the role of transcription factors, particularly Nuclear Factor-kappa B (NF-kappaB), in beta cell response to cytokine-induced damage.
Main Methods:
- Microarray analysis of primary rat beta cells treated with IL-1beta and/or IFN-gamma.
- Cluster analysis of gene expression data from cells exposed to cytokines for varying durations.
- Assessment of NF-kappaB's role by blocking its activation and analyzing downstream gene expression.
Main Results:
- Beta cells activate diverse gene networks and transcription factors in response to cytokine damage, influencing apoptosis or viability.
- Cytokine-exposed beta cells release chemokines, potentially attracting T cells and macrophages, contributing to insulitis.
- NF-kappaB activation is critical; blocking it prevents cytokine-induced beta cell death and controls genes involved in differentiation, calcium homeostasis, immune cell attraction, and apoptosis.
Conclusions:
- Beta cells exhibit a dynamic response to immune-mediated damage, involving complex transcription factor networks.
- NF-kappaB is a key regulator in beta cell response to cytokines, impacting multiple cellular processes.
- Understanding these molecular mechanisms is crucial for elucidating beta cell fate decisions in early T1DM.
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