Transcriptomic profiling of the postnatal mouse cardiac conduction system
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ABSTRACT:
PROVIDER: PRJNA966892 | ENA |
REPOSITORIES: ENA
Dataset's files
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| SRR24415470.fastq.gz | Fastqsanger.gz | |||
| SRR24415471.fastq.gz | Fastqsanger.gz | |||
| SRR24415472.fastq.gz | Fastqsanger.gz | |||
| SRR24415473.fastq.gz | Fastqsanger.gz | |||
| SRR24415474.fastq.gz | Fastqsanger.gz |
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Project description:The cardiac conduction system (CCS) comprises a network of highly specialized cells, including sinoatrial node, atrioventricular node, His bundle, bundle branches and Purkinje fibers. To uncover the transcriptomic landscape across the postnatal CCS and comparative profiling of different CCS components, we conducted scRNA-seq in purified postnatal CCS cells and spatial transcriptomic analysis in the postnatal CCS reporter mouse heart.
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Project description:Proper development of the specialized cardiac conduction system is crucial for function of the mature heart. Tools for isolation and in-vivo study of the conduction system are limited. The goal of this study was to identify pathways important for conduction system development. We generated a BAC transgenic mouse line, minKGFP, that marks the conduction system during embryogenesis and in adulthood. GFP is expressed in this line at high levels in conduction system myocardium (minkGFP high) and low levels in chamber myocardium (minKGFP low). We used this mouse line to isolate E10.5 conduction system cells, and performed transcriptional profiling on these cells to identify pathways with potential roles in specification of the developing cardiac conduction system.
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Project description:The cardiac conduction system (CCS) consists of distinct components including the sinoatrial node (SAN), atrioventricular node (AVN), His bundle, bundle branches (BB) and Purkinje fibers (PF). Despite an essential role for the CCS in heart development and function, the CCS has remained challenging to interrogate due to inherent obstacles including small cell numbers, large cell type heterogeneity, complex anatomy and difficulty in isolation. We used single-cell RNA-sequencing (scRNA-seq) to perform genome-wide analysis of gene expression of the CCS at single-cell resolution.
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Project description:Arrhythmias are a hallmark of myocardial infarction (MI) and increase patient mortality. The cardiac conduction system is implicated in arrhythmias, but how it is altered following MI is poorly understood. We demonstrate complete conduction system restoration during neonatal mouse heart regeneration, versus pathological remodelling at non-regenerative stages. Tissue-cleared whole-organ imaging identified disorganised bundling of conduction fibres after MI, global His/Purkinje disruption and regional loss of connexin-40. Single-cell RNA-sequencing revealed that Purkinje cells undergo specific molecular changes to regenerate the network, versus sustained aberrant electrical alterations during fibrotic repair. This manifested functionally as transition from normal rhythm to pathological conduction delay beyond the regenerative window. Modelling the non-regenerative phenotype in the infarcted human heart implicated these changes as causative for bundle branch block and ventricular dyssynchrony, as observed in patients. These findings elucidate the mechanisms underpinning conduction system regeneration versus repair and reveal the consequences of MI-induced damage for clinical arrhythmogenesis.
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Project description:Transcriptomic Profiling of the Developing Cardiac Conduction System at Single-Cell Resolution
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Project description:Cardiac Purkinje cells (PCs) comprise the most distal portion of the ventricular conduction system (VCS) and are essential for synchronous activation of the ventricular myocardium. Contactin-2 (CNTN2), a member of the immunoglobulin superfamily cell adhesion molecules (IgSF-CAMs), was previously identified as a marker of the VCS. Through differential transcriptional profiling we discovered two additional highly enriched IgSF-CAMs in the VCS, NCAM-1 and ALCAM. Immunofluorescence staining showed dynamic expression patterns for each IgSF-CAM during embryonic and early post-natal stages, but ultimately all three proteins became highly enriched in mature PCs. Mice deficient in NCAM-1, but not CNTN2 or ALCAM, exhibited defects in Purkinje cell gene expression and VCS patterning, as well as cardiac conduction disease. Moreover, using ST8sia2 and ST8sia4 knockout mice, we show that inhibition of post-translational modification of NCAM-1 by polysialic acid (PSA) disrupts trafficking of sarcolemmal intercalated disc proteins to Purkinje cell junctional membranes and abnormal expansion of the extracellular space between apposing Purkinje cells. Taken together, our data provide novel insights into the complex developmental biology of the ventricular conduction system.
2021-05-20 | GSE172267 | GEO
Project description:The development of the cardiac conduction system (CCS) is essential for correct heart function. However, critical details on the cell types populating the CCS in the mammalian heart during the development remain to be resolved. Using single-cell RNA sequencing, we generated a large dataset of transcriptomes of ~0.5 million individual cells isolated from murine hearts at six successive developmental corresponding to the early, middle and late stages of heart development. The dataset provides a powerful library for studying the development of the heart's CCS and other cardiac components. Our initial analysis identified distinct cell types between 20 to 26 cell types across different stages, of which ten are involved in forming the CCS. Our dataset allows researchers to reuse the datasets for data mining and a wide range of analyses. Collectively, our data add valuable transcriptomic resources for further study cardiac development, such as gene expression, transcriptional regulation and functional gene activity in developing hearts, particularly the CCS.
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Project description:In this study, we aimed to differentiate atrioventricular (AV) canal-like cardiomyocytes (AVCM) from hiPSCs to facilitate the study of disorders that affect the AV conduction axis. hiPSC-derived AVCM preferentially expressed AV canal-associated genes MSX2, TBX2 and TBX3. Single cell RNA sequencing and comparative analysis with mouse heart further validated their AV canal-like identity. In addition, hiPSC-AVCM demonstrated sensitivity to ivabradine and carbachol, indicating the presence of key nodal currents If and IKACh. To model the AV conduction axis, we created an organoid-based tissue model. These so-called “assembloids” consisted of atrial, AVC, and ventricular organoids, which exhibited spontaneous contractions and unidirectional conduction with impulses initiated predominantly at the atrial end. Remarkably, we observed slower conduction in the AVC region of the assembloid, effectively recapitulating the “fast-slow-fast” conduction pattern found in the early heart tube. Our results demonstrate that hiPSC-derived AVCM recapitulate molecular and electrophysiological properties of in vivo AV canal cardiomyocytes and tissue models incorporating this cell type enhance our ability to evaluate complex cardiac conduction disorders.
2024-09-10 | GSE250173 | GEO
Project description:RationaleThe cardiac conduction system (CCS) consists of distinct components including the sinoatrial node, atrioventricular node, His bundle, bundle branches, and Purkinje fibers. Despite an essential role for the CCS in heart development and function, the CCS has remained challenging to interrogate because of inherent obstacles including small cell numbers, large cell-type heterogeneity, complex anatomy, and difficulty in isolation. Single-cell RNA-sequencing allows for genome-wide analysis of gene expression at single-cell resolution.ObjectiveAssess the transcriptional landscape of the entire CCS at single-cell resolution by single-cell RNA-sequencing within the developing mouse heart.Methods and resultsWild-type, embryonic day 16.5 mouse hearts (n=6 per zone) were harvested and 3 zones of microdissection were isolated, including: Zone I-sinoatrial node region; Zone II-atrioventricular node/His region; and Zone III-bundle branch/Purkinje fiber region. Tissue was digested into single-cell suspensions, cells isolated, mRNA reverse transcribed, and barcoded before high-throughput sequencing and bioinformatics analyses. Single-cell RNA-sequencing was performed on over 22 000 cells, and all major cell types of the murine heart were successfully captured including bona fide clusters of cells consistent with each major component of the CCS. Unsupervised weighted gene coexpression network analysis led to the discovery of a host of novel CCS genes, a subset of which were validated using fluorescent in situ hybridization as well as whole-mount immunolabeling with volume imaging (iDISCO+) in 3 dimensions on intact mouse hearts. Further, subcluster analysis unveiled isolation of distinct CCS cell subtypes, including the clinically relevant but poorly characterized transitional cells that bridge the CCS and surrounding myocardium.ConclusionsOur study represents the first comprehensive assessment of the transcriptional profiles from the entire CCS at single-cell resolution and provides a characterization in the context of development and disease.
| S-EPMC6675655 | biostudies-literature