Single-cell chromatin accessibility landscape identifies tissue repair program in human regulatory T cells

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Dataset ID	Description	Technology	Samples
EGAD00001006779	T cells were isolated from human blood and tissues: skin and fat. Subsequently, CD4+ T cells and CD25+ T cells were FACS sorted. scATAC libraries were prepared using the 10x Genomics Kit (CG000168_ChromiumSingleCell_ATAC_ReagentKits_UserGuide_RevD.pdf) and sequenced on an Illumina NextSeq550. In total 15 samples were prepared	NextSeq 500	15
EGAD00001007660	Treg and Tfh cells (8 Samples)from the same donors was subject to ATAC-seq processing. Paired end fastq-files are supplied.	NextSeq 550	8
EGAD00001007661	Regulatory Tcells were FACS sorted and processed with 10x Genomics Chromium Next GEM SingleCell V(D)J Reagents Kits v1.1 sequencing. In total 17 samples were processed. Fastq files are supplied.	NextSeq 550	17
EGAD00001007662	Treg and Tfh cells (8 Samples)from the same donors was subject to RNA-seq (TruSeq Stranded Total RNA) processing. Single end fastq-files are supplied.	NextSeq 550	8
EGAD00001007663	Tcells were isolated fom Tissues and FACS sorted. In total 50 samples were processed in 5 replicates with the Takara SmartSeq Stranded kit. Single end fastq-files are supplied.	NextSeq 550	50
EGAD00001007664	Tcells were isolated fom Tissues and FACS sorted. In total 43 samples were processed in 5 replicates with the Takara SmartSeq Stranded kit. Single end fastq-files are supplied.	NextSeq 550	43
EGAD00001007665	Regulatory Tcells were FACS sorted and processed with 10x Genomics Chromium Next GEM Single Cell 5' v2 sequencing. In total 17 samples were processed. Fastq files are supplied.	NextSeq 550	17

Publications	Citations
Obesity-induced dysregulation of skin-resident PPARγ<sup>+</sup> Treg cells promotes IL-17A-mediated psoriatic inflammation. Sivasami P, Elkins C, Diaz-Saldana PP, Goss K, Peng A, Hamersky M, Bae J, Xu M, Pollack BP, Horwitz EM, Scharer CD, Seldin L, Li C. Immunity 56: 2023 1844-1861.e6	9
Analyzing sex imbalance in EGA and dbGaP biological databases: Recommendations for better practices. Ruiz-Serra V, Buslón N, Philippe OR, Saby D, Morales M, Pontes C, Andirkó AM, Holliday GL, Jené A, Moldes M, Rambla J, Valencia A, Rementeria MJ, Cortés A, Cirillo D. iScience 27: 2024 110831	0