侧心房表达模式有助于了解局部转录不平衡对疾病易感性的影响。

IF 6 2区 医学 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
Aaron Isaacs, Stef Zeemering, Joris Winters, Montserrat Batlle, Elham Bidar, Bas Boukens, Barbara Casadei, Winnie Chua, Harry J G M Crijns, Larissa Fabritz, Eduard Guasch, Stephane N Hatem, Ben Hermans, Stefan Kääb, Michal Kawczynski, Bart Maesen, Jos Maessen, Lluis Mont, Moritz F Sinner, Reza Wakili, Sander Verheule, Paulus Kirchhof, Ulrich Schotten, Monika Stoll
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引用次数: 0

摘要

背景:可能受遗传变异影响的转录失调有助于疾病的发展。由于在疾病进展过程中发育、功能和重塑的差异,左房(LA)和右房(RA)之间的转录差异可能为房颤等疾病提供见解。方法:采用两阶段发现和复制设计,在CATCH ME(通过将其原因转化为老年人健康调节剂来表征心房颤动)中评估心房转录的横向差异。该设计利用了32个配对样本的可用性,其中获得了LA和RA组织作为发现队列,98个LA和69个RA未配对样本作为复制队列。结果:共鉴定出714个转录本,并复制为LA和RA之间的差异表达(DE),以及55个基因的98个外显子。大约50%的DE转录本与另一个频繁相关的DE转录本重合(579个区域的PFDR≤0.05)。这些转录不平衡块包括侧特异性差异外显子使用的例子,如PITX2位点,在那里ENPEP显示了差异外显子使用的证据。将该区域与BMP10结合分析发现,rs9790621与LA中的ENPEP转录相关,而rs7687878与RA中的BMP10表达相关。在RA中,BMP10与ENPEP在非携带者中呈强相关,在风险等位基因携带者中呈弱相关,其中BMP10与PITX2表达呈强相关。结论:这些结果显著地扩展了对复杂的、组织特异性的人类心房转录景观的认识,包括DE转录物和侧特异性同种异构体表达。此外,他们认为存在受遗传影响的转录不平衡块。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lateral Atrial Expression Patterns Provide Insights into Local Transcription Disequilibrium Contributing to Disease Susceptibility.

Background: Transcriptional dysregulation, possibly affected by genetic variation, contributes to disease etiology. Due to dissimilarities in development, function, and remodeling during disease progression, transcriptional differences between the left atrium (LA) and right atrium (RA) may provide insight into diseases such as atrial fibrillation.

Methods: Lateral differences in atrial transcription were evaluated in CATCH ME (Characterizing Atrial fibrillation by Translating its Causes into Health Modifiers in the Elderly) using a 2-stage discovery and replication design. The design took advantage of the availability of 32 paired samples, for which both LA and RA tissue were obtained, as a discovery cohort, and 98 LA and 69 RA unpaired samples utilized as a replication cohort.

Results: A total of 714 transcripts were identified and replicated as differentially expressed (DE) between LA and RA, as well as 98 exons in 55 genes. Approximately 50% of DE transcripts were colocated with another frequently correlated DE transcript (PFDR ≤0.05 for 579 regions). These "transcription disequilibrium" blocks contained examples including side-specific differential exon usage, such as the PITX2 locus, where ENPEP showed evidence of differential exon usage. Analysis of this region in conjunction with BMP10 identified rs9790621 as associated with ENPEP transcription in LA, while rs7687878 was associated with BMP10 expression in RA. In RA, BMP10 and ENPEP were strongly correlated in noncarriers, which was attenuated in risk-allele carriers, where BMP10 and PITX2 expression were strongly correlated.

Conclusions: These results significantly expand knowledge of the intricate, tissue-specific transcriptional landscape in human atria, including DE transcripts and side-specific isoform expression. Furthermore, they suggest the existence of blocks of transcription disequilibrium influenced by genetics.

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来源期刊
Circulation: Genomic and Precision Medicine
Circulation: Genomic and Precision Medicine Biochemistry, Genetics and Molecular Biology-Genetics
CiteScore
9.20
自引率
5.40%
发文量
144
期刊介绍: Circulation: Genomic and Precision Medicine is a distinguished journal dedicated to advancing the frontiers of cardiovascular genomics and precision medicine. It publishes a diverse array of original research articles that delve into the genetic and molecular underpinnings of cardiovascular diseases. The journal's scope is broad, encompassing studies from human subjects to laboratory models, and from in vitro experiments to computational simulations. Circulation: Genomic and Precision Medicine is committed to publishing studies that have direct relevance to human cardiovascular biology and disease, with the ultimate goal of improving patient care and outcomes. The journal serves as a platform for researchers to share their groundbreaking work, fostering collaboration and innovation in the field of cardiovascular genomics and precision medicine.
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