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".
- 08/10/2025
- 8 samples
- DAC: EGAC50000000750
- Technology: Illumina NovaSeq 6000
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 |
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| EGAF50000443602 | fastq.gz | 4.4 GB |
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| EGAF50000443603 | fastq.gz | 4.3 GB |
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| EGAF50000443604 | fastq.gz | 4.4 GB |
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| EGAF50000443605 | fastq.gz | 4.4 GB |
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| EGAF50000443606 | fastq.gz | 3.5 GB |
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| EGAF50000443607 | fastq.gz | 3.6 GB |
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| EGAF50000443608 | fastq.gz | 5.2 GB |
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| EGAF50000443609 | fastq.gz | 5.0 GB |
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| EGAF50000443610 | fastq.gz | 3.4 GB |
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| EGAF50000443611 | fastq.gz | 3.3 GB |
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| EGAF50000443612 | fastq.gz | 3.0 GB |
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| EGAF50000443613 | fastq.gz | 2.9 GB |
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| EGAF50000443614 | fastq.gz | 2.3 GB |
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| EGAF50000443615 | fastq.gz | 2.3 GB |
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| EGAF50000443616 | fastq.gz | 3.2 GB |
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| EGAF50000443617 | fastq.gz | 3.3 GB |
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| 16 Files (58.6 GB) | ||||
