Regulatory landscape of human stem cell-derived sinoatrial node-like pacemaker cells and ventricle-like cells
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE146044 | GEO | 2020/10/23
REPOSITORIES: GEO
Similar Datasets
Project description:Regulatory landscape of human stem cell-derived sinoatrial node-like pacemaker cells and ventricle-like cells
| PRJNA609115 | ENA
Project description:The sinoatrial node regulates the heart rate throughout life. Failure of this primary pacemaker results in life-threatening, slow heart rhythm. Despite its important function, the cellular and molecular composition of the human sinoatrial node is not resolved. Particularly, no cell surface marker to identify and isolate sinoatrial node pacemaker cells has been reported. Here we use single-nuclei/cell RNA sequencing of fetal and human pluripotent stem cell-derived sinoatrial node cells and show that they consist of three subtypes of pacemaker cells, including Core Pacemaker, Sinus Venosus, and Transitional Cells. Our study identifies a host of sinoatrial node pacemaker markers including MYH11, BMP4, and the cell surface antigen CD34. We demonstrate that sorting for CD34+ cells from stem cell differentiation cultures enriches for sinoatrial node cells with a functional pacemaker phenotype. This sinoatrial node pacemaker cell surface marker is highly valuable for stem cell-based disease modelling, drug discovery, cell replacement therapies, as well as the delivery of therapeutics to sinoatrial node cells in vivo using antibody-drug conjugates.
2024-10-30 | GSE279631 | GEO
Project description:The sinoatrial node regulates the heart rate throughout life. Failure of this primary pacemaker results in life-threatening, slow heart rhythm. Despite its important function, the cellular and molecular composition of the human sinoatrial node is not resolved. Particularly, no cell surface marker to identify and isolate sinoatrial node pacemaker cells has been reported. Here we use single-nuclei/cell RNA sequencing of fetal and human pluripotent stem cell-derived sinoatrial node cells and show that they consist of three subtypes of pacemaker cells, including Core Pacemaker, Sinus Venosus, and Transitional Cells. Our study identifies a host of sinoatrial node pacemaker markers including MYH11, BMP4, and the cell surface antigen CD34. We demonstrate that sorting for CD34+ cells from stem cell differentiation cultures enriches for sinoatrial node cells with a functional pacemaker phenotype. This sinoatrial node pacemaker cell surface marker is highly valuable for stem cell-based disease modelling, drug discovery, cell replacement therapies, as well as the delivery of therapeutics to sinoatrial node cells in vivo using antibody-drug conjugates.
2024-10-30 | GSE279632 | GEO
Project description:The sinoatrial node regulates the heart rate throughout life. Failure of this primary pacemaker results in life-threatening, slow heart rhythm. Despite its important function, the cellular and molecular composition of the human sinoatrial node is not resolved. Particularly, no cell surface marker to identify and isolate sinoatrial node pacemaker cells has been reported. Here we use single-nuclei/cell RNA sequencing of fetal and human pluripotent stem cell-derived sinoatrial node cells and show that they consist of three subtypes of pacemaker cells, including Core Pacemaker, Sinus Venosus, and Transitional Cells. Our study identifies a host of sinoatrial node pacemaker markers including MYH11, BMP4, and the cell surface antigen CD34. We demonstrate that sorting for CD34+ cells from stem cell differentiation cultures enriches for sinoatrial node cells with a functional pacemaker phenotype. This sinoatrial node pacemaker cell surface marker is highly valuable for stem cell-based disease modelling, drug discovery, cell replacement therapies, as well as the delivery of therapeutics to sinoatrial node cells in vivo using antibody-drug conjugates.
2024-10-30 | GSE279630 | GEO
Project description:RNA Sequencing of Mouse Sinoatrial Node Reveals an Upstream Regulatory Role for Islet-1 in Cardiac Pacemaker Cells Rationale: Treatment of sinus node disease with regenerative or cell-based therapies will require a detailed understanding of gene regulatory networks in cardiac pacemaker cells (PCs). Objective: To characterize the transcriptome of PCs using RNA sequencing, and to identify transcriptional networks responsible for PC gene expression. Methods and Results: We used laser capture micro-dissection (LCM) on a sinus node reporter mouse line to isolate RNA from PCs for RNA sequencing (RNA-Seq). Differential expression and network analysis identified novel SAN-enriched genes, and predicted that the transcription factor Islet-1 (Isl1) is active in developing pacemaker cells. RNA-Seq on SAN tissue lacking Isl1 established that Isl1 is an important transcriptional regulator within the developing SAN. Conclusions: (1) The PC transcriptome diverges sharply from other cardiomyocytes; (2) Isl1 is a positive transcriptional regulator of the PC gene expression program. There are 25 RNA-Sequencing Samples
2015-02-06 | E-GEOD-65658 | biostudies-arrayexpress
Project description:Cardiac pacemaker cells (PCs) in the sinoatrial node (SAN) have a distinct gene expression program that allows them to fire automatically and initiate the heartbeat. Although critical SAN transcription factors, including Isl1, have been identified, the cis-regulatory architecture that governs PC-specific gene expression is not understood, and discrete enhancers required for gene regulation in the SAN have not been identified. We used ATAC-Seq on sorted neonatal mouse SAN to define regions of open chromatin in PCs and neighboring right atrial cardiomyocytes. PC-specific ATAC-seq peaks were located near established SAN genes and were enriched for distinct sets of transcription factor binding sites. In-vivo testing of a novel ATAC-seq peak at the Isl1 locus defined a regulatory element that was active specifically in the cardiac inflow at E8.5 and throughout later SAN development and maturation. Deletion of the enhancer uncovered a role for this cis-regulatory element in SAN development and function. The mouse SAN enhancer also directed reporter activity to the inflow tract in developing zebrafish hearts, demonstrating deep conservation of its upstream regulatory network. Finally, single nucleotide polymorphisms in the human genome that occur near the region syntenic to the mouse enhancer exhibit significant associations with resting heart rate in human populations.
2020-10-12 | GSE148515 | GEO
Project description:RNA Sequencing of Mouse Sinoatrial Node Reveals an Upstream Regulatory Role for Islet-1 in Cardiac Pacemaker Cells Rationale: Treatment of sinus node disease with regenerative or cell-based therapies will require a detailed understanding of gene regulatory networks in cardiac pacemaker cells (PCs). Objective: To characterize the transcriptome of PCs using RNA sequencing, and to identify transcriptional networks responsible for PC gene expression. Methods and Results: We used laser capture micro-dissection (LCM) on a sinus node reporter mouse line to isolate RNA from PCs for RNA sequencing (RNA-Seq). Differential expression and network analysis identified novel SAN-enriched genes, and predicted that the transcription factor Islet-1 (Isl1) is active in developing pacemaker cells. RNA-Seq on SAN tissue lacking Isl1 established that Isl1 is an important transcriptional regulator within the developing SAN. Conclusions: (1) The PC transcriptome diverges sharply from other cardiomyocytes; (2) Isl1 is a positive transcriptional regulator of the PC gene expression program.
2015-02-06 | GSE65658 | GEO
Project description:Activation of the heart normally begins in the sinoatrial node (SAN). Electrical impulses spontaneously released by SAN pacemaker cells (SANPCs) trigger the contraction of the heart. However, the cellular nature of SANPCs remains controversial. Here, we report that SANPCs exhibit glutamatergic neuron-like properties. By comparing the single-cell transcriptome of SANPCs with that of cells from primary visual cortex in mouse, we found that SANPCs co-clustered with cortical neurons. Tissue and cellular imaging confirmed that SANPCs contained key elements of glutamatergic neurotransmitter system, expressing genes encoding glutamate synthesis pathway (Gls), ionotropic and metabotropic glutamate receptors (Grina, Gria3, Grm1 and Grm5), and glutamate transporters (Slc17a7). SANPCs highly expressed cell markers of glutamatergic neurons (Snap25 and Slc17a7), whereas Gad1, a marker of GABAergic neurons, was negative. Functional studies revealed that inhibition of glutamate receptors or transporters reduced spontaneous pacing frequency of isolated SAN tissues and spontaneous Ca2+ transients frequency in single SANPC. Collectively, our work suggests that SANPCs share dominant biological properties with glutamatergic neurons, and the glutamatergic neurotransmitter system may act as an intrinsic regulation module of heart rhythm, which provides a potential intervention target for pacemaker cell-associated arrhythmias.
| S-EPMC8225718 | biostudies-literature
Project description:We established an efficient strategy to derive functional human SAN like pacemaker cells for disease modeling and drug screening. And we found SARS-CoV-2 infection causes dysfunction of human SAN like pacemaker cells and induces ferroptosis. And we also found that Deferoxamine and imatinib can block SARS-CoV-2 infection and infection-associated ferroptosis. Our study using functional human SAN like pacemaker cells demonstrates a potential mechanism for some COVID-19 cardiac abnormalities and identifies candidate drugs to protect the SAN like pacemaker from SARS-CoV-2 infection.
2022-01-26 | GSE193722 | GEO
Project description:We established an efficient strategy to derive functional human SAN like pacemaker cells for disease modeling and drug screening. We used a dual-reporter cell line(SHOX2-GFP+MYH6-mcherry) to indicate the sinoatrial nodal like pacemaker cells. We sorted out the double positive cell population after Day20 and prepared the sample for single cell RNA seq analysis.
2022-01-26 | GSE193723 | GEO