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Large-scale Single-nuclei Profiling Identifies Role for ATRNL1 in Atrial Fibrillation

ABSTRACT: Large-scale Single-nuclei Profiling Identifies Role for ATRNL1 in Atrial Fibrillation

PROVIDER: PRJNA1077359 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR27950900_1.fastq.gz	Fastqsanger.gz
	SRR27950900_2.fastq.gz	Fastqsanger.gz
	SRR27950901_1.fastq.gz	Fastqsanger.gz
	SRR27950901_2.fastq.gz	Fastqsanger.gz
	SRR27950902_1.fastq.gz	Fastqsanger.gz

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Large-scale Single-nuclei Profiling Identifies Role for ATRNL1 in Atrial Fibrillation [snRNA-seq]

Project description:Large-scale Single-nuclei Profiling Identifies Role for ATRNL1 in Atrial Fibrillation [snRNA-seq]

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Large-scale Single-nuclei Profiling Identifies Role for ATRNL1 in Atrial Fibrillation [bulk RNA-seq]

Project description:Large-scale Single-nuclei Profiling Identifies Role for ATRNL1 in Atrial Fibrillation [bulk RNA-seq]

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Large-scale Single-nuclei Profiling Identifies Role for ATRNL1 in Atrial Fibrillation [snRNA-seq]

Project description:Atrial fibrillation (AF) is the most common sustained arrhythmia in humans, yet the molecular basis of AF remains incompletely understood. To determine the cell type-specific transcriptional changes underlying AF, we performed single-nucleus RNA-seq (snRNA-seq) on age- and sex-matched left atrial (LA) samples from 18 patients with AF and 16 controls without AF. From more than 175,000 nuclei we identified 15 cell types but found that only cardiomyocytes (CMs) and macrophages (MΦs) had a significant number of differentially expressed genes in patients with AF. Attractin Like 1 (ATRNL1) was strongly overexpressed in CMs among patients with AF and localized to the intercalated discs. Further, in both knockdown and overexpression experiments in atrial human embryonic stem cell-derived CMs (hESC-aCMs) we identified a potent role for ATRNL1 in cell stress response, cardiac conduction, cell junction organization and in modulation of the cardiac action potential. Finally, we prioritized genes at the known genetic loci for AF and identified an unexpected expression for a leading AF candidate gene, KCNN3. In sum, we have identified a role for ATRNL1 and other differentially regulated genes that may serve as potential therapeutic targets for this common arrhythmia.

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Atrial Fibrillation After Surgery for Colorectal Cancer

Project description:This study will report the incidence of atrial fibrillation after elective colorectal cancer resection in the over 65 age group. This will be used to validate a risk model for the development of post-operative atrial fibrillation. Eligible patients will undergo electrocardiogram based screening for atrial fibrillation, as well as brain natriuretic peptide tests prior to surgery. They will undergo 24 hour holter monitor prior to surgery, and at 30 and 90 days following surgery. The primary outcome will be occurrence of atrial fibrillation within 90 days of surgery. Secondary outcomes include quality of life change, use of hospital services for atrial fibrillation, and complications of atrial fibrillation. This will be used to validate the pre-existing model for prediction of atrial fibrillation.

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Project description:Purpose: The aim of this study was to evaluate the difference of plasma circRNA between patients with atrial fibrillation and normal subjects by high-throughput sequencing results. Methods: Total RNA was extracted using a miRNeasy Mini Kit (Qiagen, Hilden, Germany) according to the manufacturer’s instructions.Then, 200 ng RNA was sequenced with high throughput, and then pathway and go analysis were used for comprehensive analysis.Finally, RT-PCR method was used to validate in large sample population Results: High throughput sequencing results showed that there were significant differences in plasma circRNA expression between patients with atrial fibrillation and non-atrial fibrillation, and 2 optional circRNA in 12 randomly selected circRNA differences were found to be significant in the population Conclusions:It is the first time that we have used high-throughput sequencing to study the difference of plasma circrna between patients with atrial fibrillation and normal people. The results of sequencing show that the expression of circrna is quite different between the two groups of people. Therefore, we believe that circRNA may play an important role in the occurrence and development of atrial fibrillation.

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