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Transcriptomic profiling of T cells following ABHD11 inhibition

This dataset contains paired-end RNA sequencing data from human T cells treated with ML226, a selective ABHD11 inhibitor, and matched vehicle controls. The experiment was designed to investigate the role of ABHD11 in sterol metabolism and its impact on T cell effector function and autoimmunity. Samples were collected across biological replicates following 24-hour treatment, and RNA was extracted for high-throughput sequencing. Sequencing was performed using an Illumina platform. The dataset supports analysis of differentially expressed genes, alternative transcript usage, and pathway-level effects of ABHD11 inhibition. This dataset is part of the study titled "ABHD11 inhibition drives sterol metabolism to modulate T cell effector function and alleviate autoimmunity".

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DUO:0000018
version: 2021-02-23

not for profit, non commercial use only

This data use modifier indicates that use of the data is limited to not-for-profit organizations and not-for-profit use, non-commercial use.

DUO:0000042
version: 2021-02-23

general research use

This data use permission indicates that use is allowed for general research use for any research purpose.

ABHD11 T-cell autoimmunity project data use policy

Data generated under the project “ABHD11 inhibition drives sterol metabolism to modulate T cell effector function and alleviate autoimmunity” are available via controlled access. Access will be granted to qualified researchers conducting ethically approved research into immunology, T cell regulation, autoimmunity, or related biomedical research areas. Applicants must agree not to attempt to re-identify any individuals, to use the data solely for research in line with the study objectives and participant consent, and to comply with data protection regulations. All data access requests will be reviewed by the Swansea University Data Access Committee (DAC), and a Data Access Agreement must be signed prior to data release.

Studies are experimental investigations of a particular phenomenon, e.g., case-control studies on a particular trait or cancer research projects reporting matching cancer normal genomes from patients.

Study ID Study Title Study Type
EGAS50000001297 Transcriptome Analysis

This table displays only public information pertaining to the files in the dataset. If you wish to access this dataset, please submit a request. If you already have access to these data files, please consult the download documentation.

ID File Type Size Quality Report
Located in
EGAF50000443602 fastq.gz 4.4 GB
EGAF50000443603 fastq.gz 4.3 GB
EGAF50000443604 fastq.gz 4.4 GB
EGAF50000443605 fastq.gz 4.4 GB
EGAF50000443606 fastq.gz 3.5 GB
EGAF50000443607 fastq.gz 3.6 GB
EGAF50000443608 fastq.gz 5.2 GB
EGAF50000443609 fastq.gz 5.0 GB
EGAF50000443610 fastq.gz 3.4 GB
EGAF50000443611 fastq.gz 3.3 GB
EGAF50000443612 fastq.gz 3.0 GB
EGAF50000443613 fastq.gz 2.9 GB
EGAF50000443614 fastq.gz 2.3 GB
EGAF50000443615 fastq.gz 2.3 GB
EGAF50000443616 fastq.gz 3.2 GB
EGAF50000443617 fastq.gz 3.3 GB
16 Files (58.6 GB)