Single-cell RNA sequencing of mouse left ventricle reveals cellular diversity and intercommunication

Previous studies have revealed the diversity of the whole cardiac cellulome but not refined the left ventricle, which was essential for finding therapeutic targets. Here, we characterized single-cell transcriptional profiles of the mouse left ventricular cellular landscape using single-cell RNA sequ...

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Published inPhysiological genomics Vol. 54; no. 1; pp. 11 - 21
Main Authors Wu, Lan, Li, Yan-Fei, Shen, Jun-Wei, Zhu, Qian, Jiang, Jing, Ma, Shi-Hua, He, Kai, Ning, Zhong-Ping, Li, Jue, Li, Xin-Ming
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LanguageEnglish
Published United States American Physiological Society 01.01.2022
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Abstract Previous studies have revealed the diversity of the whole cardiac cellulome but not refined the left ventricle, which was essential for finding therapeutic targets. Here, we characterized single-cell transcriptional profiles of the mouse left ventricular cellular landscape using single-cell RNA sequencing (10× Genomics). Detailed t-distributed stochastic neighbor embedding (tSNE) analysis revealed the cell types of left ventricle with gene markers. Left ventricular cellulome contained cardiomyocytes highly expressed , endothelial cells highly expressed , fibroblast highly expressed , and macrophages highly expressed , also proved by in situ hybridization. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis (ListHits > 2, < 0.05) were employed with the DAVID database to investigate subtypes of each cell type with the underlying functions of differentially expressed genes (DEGs). Endothelial cells included 5 subtypes, fibroblasts comprising 7 subtypes, and macrophages contained 11 subtypes. The key representative DEGs ( < 0.001) were and in cluster 3 of endothelial cells, and in cluster 2 of fibroblasts, and and in cluster 3 of macrophages perhaps involved in the occurrence of atherosclerosis, heart failure, and acute myocardial infarction proved by literature review. We also revealed extensive networks of intercellular communication in left ventricle. We suggested possible therapeutic targets for cardiovascular disease and autocrine and paracrine signaling underpins left ventricular homeostasis. This study provided new insights into the structure and function of the mammalian left ventricular cellulome and offers an important resource that will stimulate studies in cardiovascular research.
AbstractList Previous studies have revealed the diversity of the whole cardiac cellulome but not refined the left ventricle, which was essential for finding therapeutic targets. Here, we characterized single-cell transcriptional profiles of the mouse left ventricular cellular landscape using single-cell RNA sequencing (10× Genomics). Detailed t-distributed stochastic neighbor embedding (tSNE) analysis revealed the cell types of left ventricle with gene markers. Left ventricular cellulome contained cardiomyocytes highly expressed Trdn, endothelial cells highly expressed Pcdh17, fibroblast highly expressed Lama2, and macrophages highly expressed Hpgds, also proved by in situ hybridization. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis (ListHits > 2, P < 0.05) were employed with the DAVID database to investigate subtypes of each cell type with the underlying functions of differentially expressed genes (DEGs). Endothelial cells included 5 subtypes, fibroblasts comprising 7 subtypes, and macrophages contained 11 subtypes. The key representative DEGs (P < 0.001) were Gja4 and Gja5 in cluster 3 of endothelial cells, Aqp2 and Thbs4 in cluster 2 of fibroblasts, and Clec4e and Trem-1 in cluster 3 of macrophages perhaps involved in the occurrence of atherosclerosis, heart failure, and acute myocardial infarction proved by literature review. We also revealed extensive networks of intercellular communication in left ventricle. We suggested possible therapeutic targets for cardiovascular disease and autocrine and paracrine signaling underpins left ventricular homeostasis. This study provided new insights into the structure and function of the mammalian left ventricular cellulome and offers an important resource that will stimulate studies in cardiovascular research.
Previous studies have revealed the diversity of the whole cardiac cellulome but not refined the left ventricle, which was essential for finding therapeutic targets. Here, we characterized single-cell transcriptional profiles of the mouse left ventricular cellular landscape using single-cell RNA sequencing (10× Genomics). Detailed t-distributed stochastic neighbor embedding (tSNE) analysis revealed the cell types of left ventricle with gene markers. Left ventricular cellulome contained cardiomyocytes highly expressed , endothelial cells highly expressed , fibroblast highly expressed , and macrophages highly expressed , also proved by in situ hybridization. Gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes pathway (KEGG) enrichment analysis (ListHits > 2, < 0.05) were employed with the DAVID database to investigate subtypes of each cell type with the underlying functions of differentially expressed genes (DEGs). Endothelial cells included 5 subtypes, fibroblasts comprising 7 subtypes, and macrophages contained 11 subtypes. The key representative DEGs ( < 0.001) were and in cluster 3 of endothelial cells, and in cluster 2 of fibroblasts, and and in cluster 3 of macrophages perhaps involved in the occurrence of atherosclerosis, heart failure, and acute myocardial infarction proved by literature review. We also revealed extensive networks of intercellular communication in left ventricle. We suggested possible therapeutic targets for cardiovascular disease and autocrine and paracrine signaling underpins left ventricular homeostasis. This study provided new insights into the structure and function of the mammalian left ventricular cellulome and offers an important resource that will stimulate studies in cardiovascular research.
Author Zhu, Qian
Jiang, Jing
Li, Yan-Fei
Ma, Shi-Hua
Wu, Lan
He, Kai
Li, Xin-Ming
Ning, Zhong-Ping
Li, Jue
Shen, Jun-Wei
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Cites_doi 10.1371/journal.pone.0035552
10.7554/eLife.43882
10.1152/physiolgenomics.00042.2017
10.1038/nature22076
10.1016/j.tibtech.2020.05.006
10.4049/jimmunol.1602057
10.1161/CIRCRESAHA.111.249433
10.1073/pnas.1214996109
10.1038/s41591-018-0096-5
10.3892/mmr.2017.7014
10.1016/j.atherosclerosis.2015.10.092
10.1042/CBI20110466
10.1038/s41467-020-16204-w
10.3390/ijms21218345
10.1007/s11010-016-2725-y
10.1152/ajpheart.00634.2011
10.1371/journal.pone.0116501
10.1038/s41419-019-1777-9
10.1002/cphy.c140055
10.1038/nm1441
10.1093/cvr/cvt023
10.1038/onc.2017.140
10.1038/s41586-020-2797-4
10.1161/CIRCULATIONAHA.119.045115
10.1016/j.cell.2018.02.001
10.1161/01.cir.65.1.91
10.1016/j.ahj.2017.06.008
10.1242/jcs.180992
10.1161/CIRCRESAHA.120.316784
10.1242/dev.126.19.4187
10.1136/annrheumdis-2015-208470
10.1016/j.yexcr.2007.09.020
10.1152/ajprenal.00721.2010
10.1371/journal.pone.0213685
10.5483/bmbrep.2018.51.1.140
10.1016/j.celrep.2017.12.072
10.1016/j.cell.2015.05.002
10.1161/CIRCULATIONAHA.116.022668
10.1038/nbt.4096
10.1016/j.phrs.2015.07.027
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Keywords single-cell RNA sequencing
differentially expressed genes
cell communication
left ventricle
cell types
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  doi: 10.1371/journal.pone.0035552
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  doi: 10.4049/jimmunol.1602057
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  doi: 10.1161/CIRCRESAHA.111.249433
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  doi: 10.1038/s41591-018-0096-5
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  doi: 10.3892/mmr.2017.7014
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  doi: 10.1016/j.atherosclerosis.2015.10.092
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  doi: 10.1042/CBI20110466
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  doi: 10.1038/s41467-020-16204-w
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  doi: 10.3390/ijms21218345
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  doi: 10.1152/ajpheart.00634.2011
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  doi: 10.1371/journal.pone.0116501
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  doi: 10.1038/s41419-019-1777-9
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  doi: 10.1002/cphy.c140055
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  doi: 10.1038/nm1441
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  doi: 10.1093/cvr/cvt023
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  doi: 10.1038/onc.2017.140
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  doi: 10.1038/s41586-020-2797-4
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  doi: 10.1161/01.cir.65.1.91
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  doi: 10.1242/jcs.180992
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  doi: 10.1242/dev.126.19.4187
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  doi: 10.1136/annrheumdis-2015-208470
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  doi: 10.1016/j.yexcr.2007.09.020
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  doi: 10.1371/journal.pone.0213685
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Snippet Previous studies have revealed the diversity of the whole cardiac cellulome but not refined the left ventricle, which was essential for finding therapeutic...
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StartPage 11
SubjectTerms Animals
Aquaporin 2
Arteriosclerosis
Autocrine signalling
Cardiomyocytes
Cardiovascular diseases
Congestive heart failure
Embedding
Endothelial Cells
Fibroblasts
Gene Expression Profiling
Genes
Heart Ventricles
Homeostasis
Hybridization
Intracellular Signaling Peptides and Proteins
Literature reviews
Macrophages
Mice
Muscle Proteins
Myocardial infarction
Myocytes, Cardiac
Paracrine signalling
Sequence Analysis, RNA
Stochasticity
Structure-function relationships
Therapeutic applications
Therapeutic targets
Transcription
Ventricle
Title Single-cell RNA sequencing of mouse left ventricle reveals cellular diversity and intercommunication
URI https://www.ncbi.nlm.nih.gov/pubmed/34859688
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