Targeted Analysis of circRNA Expression in Patient Samples by Lexo-circSeq

Recently, circular RNAs (circRNAs) have been extensively studied in animals and plants. circRNAs are generated by backsplicing from the same linear transcripts that are canonically spliced to produce, for example, mature mRNAs. circRNAs exhibit tissue-specific expression and are potentially involved...

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Main Authors: Isabel S. Naarmann-de Vries, Jessica Eschenbach, Sarah Schudy, Benjamin Meder, Christoph Dieterich
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Molecular Biosciences
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fmolb.2022.875805/full
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author Isabel S. Naarmann-de Vries
Isabel S. Naarmann-de Vries
Jessica Eschenbach
Sarah Schudy
Sarah Schudy
Benjamin Meder
Benjamin Meder
Benjamin Meder
Christoph Dieterich
Christoph Dieterich
author_facet Isabel S. Naarmann-de Vries
Isabel S. Naarmann-de Vries
Jessica Eschenbach
Sarah Schudy
Sarah Schudy
Benjamin Meder
Benjamin Meder
Benjamin Meder
Christoph Dieterich
Christoph Dieterich
author_sort Isabel S. Naarmann-de Vries
collection DOAJ
description Recently, circular RNAs (circRNAs) have been extensively studied in animals and plants. circRNAs are generated by backsplicing from the same linear transcripts that are canonically spliced to produce, for example, mature mRNAs. circRNAs exhibit tissue-specific expression and are potentially involved in many diseases, among them cardiovascular diseases. The comprehensive analysis of circRNA expression patterns across larger patient cohorts requires a streamlined and cost-effective workflow designed to meet small input requirements. In this article, we present Lexo-circSeq, a targeted RNA sequencing approach that can profile up to 110 circRNAs and their corresponding linear transcripts in one experiment. We established Lexo-circSeq employing total human heart RNA and show that our protocol can detect depletion of a specific circRNA in hiPSC-derived cardiomyocytes. Finally, Lexo-circSeq was applied to biopsies from patients diagnosed with dilated cardiomyopathy (DCM) and hypertrophic cardiomyopathy (HCM), respectively. Interestingly, our results indicate that circular-to-linear-ratios for circSLC8A1 and circRBM33 are deregulated in cardiomyopathy.
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spelling doaj.art-fa90a8c89519419b96df97d6cfb3e0162022-12-22T03:31:35ZengFrontiers Media S.A.Frontiers in Molecular Biosciences2296-889X2022-06-01910.3389/fmolb.2022.875805875805Targeted Analysis of circRNA Expression in Patient Samples by Lexo-circSeqIsabel S. Naarmann-de Vries0Isabel S. Naarmann-de Vries1Jessica Eschenbach2Sarah Schudy3Sarah Schudy4Benjamin Meder5Benjamin Meder6Benjamin Meder7Christoph Dieterich8Christoph Dieterich9Department of Internal Medicine III, Klaus Tschira Institute for Integrative Computational Cardiology, University Hospital Heidelberg, Heidelberg, GermanyGerman Center for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Heidelberg, GermanyDepartment of Internal Medicine III, Klaus Tschira Institute for Integrative Computational Cardiology, University Hospital Heidelberg, Heidelberg, GermanyGerman Center for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Heidelberg, GermanyDepartment of Internal Medicine III, Institute for Cardiomyopathies, University Hospital Heidelberg, Heidelberg, GermanyGerman Center for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Heidelberg, GermanyDepartment of Internal Medicine III, Institute for Cardiomyopathies, University Hospital Heidelberg, Heidelberg, GermanyStanford Genome Technology Center, Stanford University School of Medicine, Stanford, CA, United StatesDepartment of Internal Medicine III, Klaus Tschira Institute for Integrative Computational Cardiology, University Hospital Heidelberg, Heidelberg, GermanyGerman Center for Cardiovascular Research (DZHK), Partner Site Heidelberg/Mannheim, Heidelberg, GermanyRecently, circular RNAs (circRNAs) have been extensively studied in animals and plants. circRNAs are generated by backsplicing from the same linear transcripts that are canonically spliced to produce, for example, mature mRNAs. circRNAs exhibit tissue-specific expression and are potentially involved in many diseases, among them cardiovascular diseases. The comprehensive analysis of circRNA expression patterns across larger patient cohorts requires a streamlined and cost-effective workflow designed to meet small input requirements. In this article, we present Lexo-circSeq, a targeted RNA sequencing approach that can profile up to 110 circRNAs and their corresponding linear transcripts in one experiment. We established Lexo-circSeq employing total human heart RNA and show that our protocol can detect depletion of a specific circRNA in hiPSC-derived cardiomyocytes. Finally, Lexo-circSeq was applied to biopsies from patients diagnosed with dilated cardiomyopathy (DCM) and hypertrophic cardiomyopathy (HCM), respectively. Interestingly, our results indicate that circular-to-linear-ratios for circSLC8A1 and circRBM33 are deregulated in cardiomyopathy.https://www.frontiersin.org/articles/10.3389/fmolb.2022.875805/fullcircRNAcardiomyopathySLC8A1RBM33RNA-seq
spellingShingle Isabel S. Naarmann-de Vries
Isabel S. Naarmann-de Vries
Jessica Eschenbach
Sarah Schudy
Sarah Schudy
Benjamin Meder
Benjamin Meder
Benjamin Meder
Christoph Dieterich
Christoph Dieterich
Targeted Analysis of circRNA Expression in Patient Samples by Lexo-circSeq
Frontiers in Molecular Biosciences
circRNA
cardiomyopathy
SLC8A1
RBM33
RNA-seq
title Targeted Analysis of circRNA Expression in Patient Samples by Lexo-circSeq
title_full Targeted Analysis of circRNA Expression in Patient Samples by Lexo-circSeq
title_fullStr Targeted Analysis of circRNA Expression in Patient Samples by Lexo-circSeq
title_full_unstemmed Targeted Analysis of circRNA Expression in Patient Samples by Lexo-circSeq
title_short Targeted Analysis of circRNA Expression in Patient Samples by Lexo-circSeq
title_sort targeted analysis of circrna expression in patient samples by lexo circseq
topic circRNA
cardiomyopathy
SLC8A1
RBM33
RNA-seq
url https://www.frontiersin.org/articles/10.3389/fmolb.2022.875805/full
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