Regarded historically as genomic parasites, transposable elements (TEs) have now been recognized as significant contributors to cellular identity and function, especially in immune regulation.
Mammalian genomes contain a vast number of TEs. The diversity and abundance of these elements impact the structure, function and evolution of the genome. They influence gene regulatory networks by altering transcription factor binding sites and creating new enhancer activities. Increasingly, there is evidence that underscores the crucial role of TEs in various diseases, especially in modulating immunity. However, in the context of myocarditis, there has been a notable lack of focus on the impact of TEs, highlighting a potential research area that could provide new insights into the molecular mechanisms driving this cardiac disease.
In a study published in the KeAi journal Reproduction and Breeding, a team of researchers from Hunan Normal University utilized RNA-Seq and single-cell RNA-Seq data to identify key TEs associated with myocarditis.
This schematic illustrates the observation of extensive activation of immune genes and transposable elements (TEs) in mice with EAM. We hypothesize that this immune activation may be regulated by the ERVB7-1. LTR-MM transposable element
The team used publicly available databases to explore the role of TEs in myocarditis.
RNA Seq data and single-cell sequencing data were analyzed, with a focus on the mouse model of experimental autoimmune myocarditis (EAM).
The RNA-Seq analysis revealed substantial upregulation of a range of immune genes in cardiac tissue.
“We furthered the investigation using single-cell sequencing of cardiac immune cells identified specific expression of certain transposable elements (TEs) across different types of immune cells in the heart,” shares first author of the study, Sixing Chen. “We observed an overall increase in the expression of the ERVB7-1.”
LTR-MM transposon across various cells in the EAM model suggest a widespread impact of this transposon on the immune response in this disease context.
“Our findings highlight the intricate interaction between TEs and the immune system in cardiomyopathy, providing new insights into the molecular mechanisms underlying this condition,” adds Chen.
In particularly, the discovery of specific TEs expression in cardiac immune cells and the overall increase in ERVB7-1. LTR-MM expression across the EAM model underscore the potential of these elements in modulating immune responses and contribute to our understanding of cardiomyopathy’s pathogenesis. These observations open avenues for further research into the role of TEs in cardiac diseases, optimizing novel therapeutic strategies.
Source – Eurekalert
Chen S, Jiang F, Wu J, Li Z, Fan X, Wu X, Li Y, Li F, Jiang Z, Wang Y, (2024) Identification of key TE associated with myocarditis based on RNA and single-cell sequencing data mining. Reproduction and Breeding 4(2), 102-109. [article]
Regarded historically as genomic parasites, transposable elements (TEs) have now been recognized as significant contributors to cellular identity and function, especially in immune regulation.
Mammalian genomes contain a vast number of TEs. The diversity and abundance of these elements impact the structure, function and evolution of the genome. They influence gene regulatory networks by altering transcription factor binding sites and creating new enhancer activities. Increasingly, there is evidence that underscores the crucial role of TEs in various diseases, especially in modulating immunity. However, in the context of myocarditis, there has been a notable lack of focus on the impact of TEs, highlighting a potential research area that could provide new insights into the molecular mechanisms driving this cardiac disease.
In a study published in the KeAi journal Reproduction and Breeding, a team of researchers from Hunan Normal University utilized RNA-Seq and single-cell RNA-Seq data to identify key TEs associated with myocarditis.
The team used publicly available databases to explore the role of TEs in myocarditis. RNA Seq data and single-cell sequencing data were analyzed, with a focus on the mouse model of experimental autoimmune myocarditis (EAM). The RNA-Seq analysis revealed substantial upregulation of a range of immune genes in cardiac tissue.
LTR-MM transposon across various cells in the EAM model suggest a widespread impact of this transposon on the immune response in this disease context.
In particularly, the discovery of specific TEs expression in cardiac immune cells and the overall increase in ERVB7-1. LTR-MM expression across the EAM model underscore the potential of these elements in modulating immune responses and contribute to our understanding of cardiomyopathy’s pathogenesis. These observations open avenues for further research into the role of TEs in cardiac diseases, optimizing novel therapeutic strategies.
Source – Eurekalert
Chen S, Jiang F, Wu J, Li Z, Fan X, Wu X, Li Y, Li F, Jiang Z, Wang Y, (2024) Identification of key TE associated with myocarditis based on RNA and single-cell sequencing data mining. Reproduction and Breeding 4(2), 102-109. [article]
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Regarded historically as genomic parasites, transposable elements (TEs) have now been recognized as significant contributors to cellular identity and function, especially in immune regulation.
Mammalian genomes contain a vast number of TEs. The diversity and abundance of these elements impact the structure, function and evolution of the genome. They influence gene regulatory networks by altering transcription factor binding sites and creating new enhancer activities. Increasingly, there is evidence that underscores the crucial role of TEs in various diseases, especially in modulating immunity. However, in the context of myocarditis, there has been a notable lack of focus on the impact of TEs, highlighting a potential research area that could provide new insights into the molecular mechanisms driving this cardiac disease.
In a study published in the KeAi journal Reproduction and Breeding, a team of researchers from Hunan Normal University utilized RNA-Seq and single-cell RNA-Seq data to identify key TEs associated with myocarditis.
The team used publicly available databases to explore the role of TEs in myocarditis. RNA Seq data and single-cell sequencing data were analyzed, with a focus on the mouse model of experimental autoimmune myocarditis (EAM). The RNA-Seq analysis revealed substantial upregulation of a range of immune genes in cardiac tissue.
LTR-MM transposon across various cells in the EAM model suggest a widespread impact of this transposon on the immune response in this disease context.
In particularly, the discovery of specific TEs expression in cardiac immune cells and the overall increase in ERVB7-1. LTR-MM expression across the EAM model underscore the potential of these elements in modulating immune responses and contribute to our understanding of cardiomyopathy’s pathogenesis. These observations open avenues for further research into the role of TEs in cardiac diseases, optimizing novel therapeutic strategies.
Source – Eurekalert
Chen S, Jiang F, Wu J, Li Z, Fan X, Wu X, Li Y, Li F, Jiang Z, Wang Y, (2024) Identification of key TE associated with myocarditis based on RNA and single-cell sequencing data mining. Reproduction and Breeding 4(2), 102-109. [article]
Related Posts
Single-cell and single-embryo RNA sequencing
RNA sequencing reveals functional chimeric mRNAs in mammalian immunity
Deep learning improves microRNA target prediction from sequence
Atlas of the brain’s striatum could guide researchers to new drug treatments
scLS – a computationally efficient differentially expressed gene detection algorithm
Spatial mapping of RNA turnover kinetics in the mouse brain
Immune cells offer insights on billion-dollar virus
SPIDER improves spatial transcriptomics data using single-cell RNA sequencing
Ultrafast and reference-free sequence discovery in single-cell data
ARCADIA combines RNA sequencing and spatial proteomics to reveal how tissue location shapes cell behavior
An end-to-end computational framework for “Record-seq” transcriptional recording data
A functionally integrated cross-tissue alternative splicing program during short-term calorie restriction
ExoShorkie – predicting RNA-seq coverage of exogenous genomes in yeast by transfer learning
Dietary oxidized plant sterol shifts macrophage state to fuel aortic inflammation
Bonsai reconstructs tree representations for distortion-free visualization and exploration of high-dimensional data
MiRQuery – a user-friendly web app for the interactive analysis and visualization of microRNA sequencing data
RNA sequencing resolves cryptic pathogenic variants in mitochondrial disease
Unlocking the past – new method helps gain insights into old tissue
New RNA sequencing model improves sequencing depth planning for UMI transcriptomics
Combining RNA sequencing and pathology images identifies glioblastoma subgroups linked to survival
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