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Series GSE138262 Query DataSets for GSE138262
Status Public on Apr 21, 2022
Title Single-cell transcriptomic profiling provides insights into disease-related processes in human hypertrophic cardiomyopathy
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Background – Hypertrophic cardiomyopathy (HCM) is a common genetic cardiac disorder that is characterized by the presence of left ventricular hypertrophy with histological evidence of myocyte disarray and fibrosis. Pathologic DNA variants in sarcomeric genes are seen in 50–60% of families, but the mechanistic origins of hypertrophy and disarray remain poorly understood. More molecular insights could contribute to a better understanding of these origins and improve therapeutic strategies for HCM.
Methods – To identify gene expression patterns relevant to HCM pathology, we quantified intercellular heterogeneity in cardiomyocyte gene expression by performing single-cell RNA sequencing (scRNA-seq) on myectomy tissue from HCM patients.
Results – Septal myectomy samples provide a unique opportunity to access diseased human heart tissue for scRNA-seq. We analysed gene expression of individual cardiomyocytes for three HCM patients, who each showed a similar presence of cardiomyocyte subpopulations. This similarity indicated these subpopulations emerge from biological processes, and not from experimental variability. Moreover, our data revealed functional links between genes important to HCM. A subpopulation characterized by elevated titin (TTN) expression showed increased expression of genes involved in muscle contraction and development. A subpopulation of Natriuretic Peptide A (NPPA)-enriched cells showed elevated expression of Natriuretic Peptide B (NPPB). Further analysis of gene co-expression revealed five groups of genes with tightly correlated expression (regulons), one consisting of mostly sarcomeric genes and another containing some well-known stress markers. These correlations were confirmed in 97 additional HCM myectomy samples and allowed us to de novo identify transcription factors related to sarcomeric gene expression and stress. Finally, using forward scatter, we charted functional implications of regulon expression and showed a link between the stress-marker regulon and cell size. Histology samples independently confirmed that regulon member skeletal alpha actin (ACTA1) correlates with cell size.
Conclusion – We have shown that single-cell sequencing on myectomy samples from HCM patients identified new functional links between genes, transcription factors, and a functional link between genes and cell size. This highlights the relevance of cardiomyocyte heterogeneity, and additionally provides a wealth of novel insights into molecular events at the base of HCM, which potentially contribute to understanding disease progression.
 
Overall design Single-cell RNA-sequencing on 5 septal myectomy samples from patients with hypertrophic cardiomyopathy

FACS sorting index data are not available for patients 1-3.
 
Contributor(s) Eding JE, de Leeuw AE, Wright Clark M, Wehrens M, Boogerd CJ, Molenaar B, van der Kraak PH, Kuster DW, van der Velden J, Michels M, Vink A, van Rooij E
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Submission date Oct 01, 2019
Last update date Apr 23, 2022
Contact name Eva van Rooij
E-mail(s) E.vanrooij@hubrecht.eu
Organization name Hubrecht Institute
Street address Uppsalalaan 8
City Utrecht
State/province Utrecht
ZIP/Postal code 3584 CT
Country Netherlands
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (16)
GSM4103885 Patient 1 - Plate 1
GSM4103886 Patient 1 - Plate 2
GSM4103887 Patient 1 - Plate 3
Relations
BioProject PRJNA575238
SRA SRP223884

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE138262_RAW.tar 24.7 Mb (http)(custom) TAR (of CSV, TSV)
GSE138262_readme_demultiplexing_Cel-seq2_data.pdf 811.8 Kb (ftp)(http) PDF
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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