Novel Insights into the Sinoatrial Node in Single-Cell RNA Sequencing: From Developmental Biology to Physiological Function

Normal cardiac automaticity is dependent on the pacemaker cells of the sinoatrial node (SAN). Insufficient cardiac pacemaking leads to the development of sick sinus syndrome (SSS). Since currently available pharmaceutical drugs and implantable pacemakers are only partially effective in managing SSS,...

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Main Authors: Wei Fan, Chao Yang, Xiaojie Hou, Juyi Wan, Bin Liao
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Journal of Cardiovascular Development and Disease
Subjects:
Online Access:https://www.mdpi.com/2308-3425/9/11/402
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author Wei Fan
Chao Yang
Xiaojie Hou
Juyi Wan
Bin Liao
author_facet Wei Fan
Chao Yang
Xiaojie Hou
Juyi Wan
Bin Liao
author_sort Wei Fan
collection DOAJ
description Normal cardiac automaticity is dependent on the pacemaker cells of the sinoatrial node (SAN). Insufficient cardiac pacemaking leads to the development of sick sinus syndrome (SSS). Since currently available pharmaceutical drugs and implantable pacemakers are only partially effective in managing SSS, there is a critical need for developing targeted mechanism-based therapies to treat SSS. SAN-like pacemaker cells (SANLPCs) are difficult to regenerate in vivo or in vitro because the genes and signaling pathways that regulate SAN development and function have not been fully elucidated. The development of more effective treatments for SSS, including biological pacemakers, requires further understanding of these genes and signaling pathways. Compared with genetic models and bulk RNA sequencing, single-cell RNA sequencing (scRNA-seq) technology promises to advance our understanding of cellular phenotype heterogeneity and molecular regulation during SAN development. This review outlines the key transcriptional networks that control the structure, development, and function of the SAN, with particular attention to SAN markers and signaling pathways detected via scRNA-seq. This review offers insights into the process and transcriptional network of SAN morphogenesis at a single-cell level and discusses current challenges and potential future directions for generating SANLPCs for biological pacemakers.
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spelling doaj.art-7542fe27b62d47bb977e8c914480aaef2023-11-24T08:46:55ZengMDPI AGJournal of Cardiovascular Development and Disease2308-34252022-11-0191140210.3390/jcdd9110402Novel Insights into the Sinoatrial Node in Single-Cell RNA Sequencing: From Developmental Biology to Physiological FunctionWei Fan0Chao Yang1Xiaojie Hou2Juyi Wan3Bin Liao4Department of Cardiovascular Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, ChinaDepartment of Cardiovascular Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, ChinaDepartment of Cardiac Surgery, Beijing Anzhen Hospital, Capital Medical University, Beijing 100069, ChinaDepartment of Cardiovascular Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, ChinaDepartment of Cardiovascular Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou 646000, ChinaNormal cardiac automaticity is dependent on the pacemaker cells of the sinoatrial node (SAN). Insufficient cardiac pacemaking leads to the development of sick sinus syndrome (SSS). Since currently available pharmaceutical drugs and implantable pacemakers are only partially effective in managing SSS, there is a critical need for developing targeted mechanism-based therapies to treat SSS. SAN-like pacemaker cells (SANLPCs) are difficult to regenerate in vivo or in vitro because the genes and signaling pathways that regulate SAN development and function have not been fully elucidated. The development of more effective treatments for SSS, including biological pacemakers, requires further understanding of these genes and signaling pathways. Compared with genetic models and bulk RNA sequencing, single-cell RNA sequencing (scRNA-seq) technology promises to advance our understanding of cellular phenotype heterogeneity and molecular regulation during SAN development. This review outlines the key transcriptional networks that control the structure, development, and function of the SAN, with particular attention to SAN markers and signaling pathways detected via scRNA-seq. This review offers insights into the process and transcriptional network of SAN morphogenesis at a single-cell level and discusses current challenges and potential future directions for generating SANLPCs for biological pacemakers.https://www.mdpi.com/2308-3425/9/11/402sinoatrial nodesingle-cell RNA sequencingtranscription factorssignaling pathwaysmolecular regulation
spellingShingle Wei Fan
Chao Yang
Xiaojie Hou
Juyi Wan
Bin Liao
Novel Insights into the Sinoatrial Node in Single-Cell RNA Sequencing: From Developmental Biology to Physiological Function
Journal of Cardiovascular Development and Disease
sinoatrial node
single-cell RNA sequencing
transcription factors
signaling pathways
molecular regulation
title Novel Insights into the Sinoatrial Node in Single-Cell RNA Sequencing: From Developmental Biology to Physiological Function
title_full Novel Insights into the Sinoatrial Node in Single-Cell RNA Sequencing: From Developmental Biology to Physiological Function
title_fullStr Novel Insights into the Sinoatrial Node in Single-Cell RNA Sequencing: From Developmental Biology to Physiological Function
title_full_unstemmed Novel Insights into the Sinoatrial Node in Single-Cell RNA Sequencing: From Developmental Biology to Physiological Function
title_short Novel Insights into the Sinoatrial Node in Single-Cell RNA Sequencing: From Developmental Biology to Physiological Function
title_sort novel insights into the sinoatrial node in single cell rna sequencing from developmental biology to physiological function
topic sinoatrial node
single-cell RNA sequencing
transcription factors
signaling pathways
molecular regulation
url https://www.mdpi.com/2308-3425/9/11/402
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AT xiaojiehou novelinsightsintothesinoatrialnodeinsinglecellrnasequencingfromdevelopmentalbiologytophysiologicalfunction
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