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Single-cell RNA sequencing of sorted regulatory T cells

Single-cell RNA sequencing of flow cytometry enriched CD4+ CD127- CD25+ regulatory T cells from 8 systemic lupus erythematosus patients (SLE_001 to SLE_007, and SLE_009) collected at baseline (day 0, before interleukin-2 immunotherpay) and day 5 (after 1 treatment cycle of interleukin-2 immunotherapy). Sorted immune cells were hash tagged and then stained with TotalSeq Human Universal Cocktail (Biolegend) before further processing for single-cell RNA sequencing using the 10X-Genomics platform (incl. generation of TCR libraries). Samples from patients SLE_001, SLE_002, SLE_004, SLE_006 were collected and processed on the first day of experiment (Day 1), and samples from patients SLE_003, SLE_005, SLE_007, SLE_009 on the second day of experiment (Day 2). On each day, samples were pooled and distributed to four lanes on the chromium controller. Run ID 245269 and ID 245270 identify samples sequenced on separate flow cells. Provided are raw sequencing files.

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Access to raw sequencing files from human participants

Sequencing files from healthy human participants and patients, collected under ethical approvals 2016-01440 and 2017-00886, have restricted access. These files are only available to researchers from countries that comply with Swiss human data confidentiality and security regulations. Furthermore, requesting researchers must adhere to the conditions outlined in the corresponding ethical approvals. These conditions include strict confidentiality requirements and a prohibition on further distribution of the data. Access to these files is governed by a Data Transfer Agreement (DTA) between the relevant institutions, which must be executed prior to the transfer of any data. The DTA will detail all terms and conditions of data usage, ensuring compliance with ethical and legal standards. This process ensures the protection of sensitive information while facilitating research collaboration.

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
EGAS50000000458 RNASeq
  • As the article was published on August 12, 2024, the corresponding Pubmed ID was added to the corresponding studies. No other changes were implemented.
  • Dataset Released

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 Located in
EGAF50000158244 tar.gz 59.3 GB
EGAF50000158293 tar.gz 45.4 GB
EGAF50000158311 tar.gz 35.5 GB
EGAF50000158312 tar.gz 36.3 GB
EGAF50000158329 tar.gz 122.0 GB
EGAF50000158334 tar.gz 111.9 GB
EGAF50000158343 tar.gz 92.5 GB
7 Files (502.9 GB)