2019
DOI: 10.1016/j.celrep.2019.01.079
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Single-Cell Transcriptome Analysis Maps the Developmental Track of the Human Heart

Abstract: Graphical Abstract Highlights d Systematic mapping of the transcriptomic landscape of the human fetal heart d Critical biological features of cardiomyocytes and cardiac fibroblasts are revealed d Synergistic activation of NOTCH and BMP signaling pathways during heart development d Human-specific marker genes are revealed by comparing with mouse heart data

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Cited by 354 publications
(392 citation statements)
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“…Here, we explored the published scRNA-seq datasets from various tissues and organs of different human body systems, including the respiratory system [4,5] (nasal mucosa, respiratory track, bronchus, and lung), the cardiovascular system [6] (heart), the digestive system [7][8][9][10] (esophagus, stomach, ileum, and liver), and the urinary system [11,12] (kidney and bladder). The lung scRNA-seq data were acquired from the Gene Expression Omnibus (GEO) database under the series number GSE122960; the nasal mucosa, respiratory track, bronchus scRNA-seq data were from GSE121600; the heart data were from GSE106118; the esophagus data were downloaded from https://www.tissuestabilitycellatlas.org/; the ileum data were from GSE134809 sample GSM3972018; the stomach data were from GSE134520 sample GSM3954949; the liver data were from GSE115469; the kidney data were from GSE109564; and the bladder data were from GSE129845 sample GSM3723358.…”
Section: Methodsmentioning
confidence: 99%
“…Here, we explored the published scRNA-seq datasets from various tissues and organs of different human body systems, including the respiratory system [4,5] (nasal mucosa, respiratory track, bronchus, and lung), the cardiovascular system [6] (heart), the digestive system [7][8][9][10] (esophagus, stomach, ileum, and liver), and the urinary system [11,12] (kidney and bladder). The lung scRNA-seq data were acquired from the Gene Expression Omnibus (GEO) database under the series number GSE122960; the nasal mucosa, respiratory track, bronchus scRNA-seq data were from GSE121600; the heart data were from GSE106118; the esophagus data were downloaded from https://www.tissuestabilitycellatlas.org/; the ileum data were from GSE134809 sample GSM3972018; the stomach data were from GSE134520 sample GSM3954949; the liver data were from GSE115469; the kidney data were from GSE109564; and the bladder data were from GSE129845 sample GSM3723358.…”
Section: Methodsmentioning
confidence: 99%
“…[15] And another dataset of human placenta can be download by the Gene Expression Omnibus GSE89497 (corresponding to Figure 1C). [16] Human fetal Heart: Gene expression matrix of scRNA-seq data of human fetal heart was downloaded from the Gene Expression Omnibus (GSE106118) and the annotation was downloaded from the supplementary table1 from the Cui, et al (2019). [17] Human fetal liver: Gene expression matrix of scRNA-seq data of human fetal liver was downloaded from ArrayExpress with accession code E-MTAB-7407 and the annotation was downloaded the supplementary table from Popescu, et al(2019).…”
Section: Public Dataset Acquisition and Processingmentioning
confidence: 99%
“…We then screened the ACE2 expression in multiple fetal organs including heart, lungs, liver and kidneys based on the online published single cell transcriptome studies. In a fetal heart single cell study covering early to late fetal stages [17], we observed that ACE2 was expressed in cardiomyocytes (CM), macrophages and smooth muscle cells and pericytes (SMC/Peri). In a human feral liver cell atlas [18], ACE2 was detected in erythroid, fibroblast and hepatocyte ( Figure 2B).…”
Section: Cell Specific Expression Of Ace2 In Human Fetal Organsmentioning
confidence: 99%
“…The following prediction software was used to analyze the rare variants in candidate CHD genes identified through WES: SIFT, GERP++, Polyphen2 Complex, Polyphen2 Mendelian, MetaSVM, MetaLR, and CADD [27][28][29][30][31][32]. Variants were further filtered based on the expression of the impacted human gene in the developing heart using publicly available single-cell data [70]. MYL2 genomic region flanking the identified variant was amplified using MYL2.gen.For and MYL2.gen.Rev primers and the presence of the variant was confirmed using Sanger sequencing method.…”
Section: Variant Identification Prioritization and Confirmationmentioning
confidence: 99%