Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

99 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Single cell CITE-seq and VDJ sequencing of epidermal and blood T cells

ABSTRACT: The aim of the experiment was to investigate the clonal relationship between CD8+ T cell subsets of donor matched blood with epidermal CD8+ T cells. Abdominal skin (n=8) was separated into dermis and epidermis, followed by epidermal skin and PBMC isolation. Single CD8+ T cells (n=6) and CD3+ T cells (n=2) were FACS sorted, processed with the 5’ 10x Genomics workflow and sequenced at NGI Sweden.

INSTRUMENT(S): 10x Genomics Chromium Controller, Illumina NovaSeq 6000

ORGANISM(S): Homo sapiens

SUBMITTER: Wenning Zheng

PROVIDER: E-MTAB-12839 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

CITE-seq of human blood CD8+ T cells

Project description:The purpose of the experiment was to investigate the differentiation state gradient among antigen-experienced CD8+ T cells in healthy human blood. This was a sub-goal within a larger experiment, which aimed to investigate the clonal relationship between CD8+ T cells in blood and skin of matched donors. The blood T cells were sorted as CD8+ T cells (n=4) or CD3+ T cells (n=2), processed according to the 5´prime 10x genomic workflow, and sequenced at NGI Sweden.

2023-06-30 | E-MTAB-13034 | biostudies-arrayexpress

Single cell CITE-seq and VDJ sequencing of CD8+ central memory blood T cells (TCM) and their in-vivo matured tissue-resident memory-like T cells (TRM)

Project description:The aim of the experiment was to understand the clonal relationship between CD8+ central memory blood T cells (TCM) and the in-vivo matured TCM tissue-resident memory-like T cells (TRM) on day 14. TCM were FACS sorted from human PBMCs (n=5). Half of the cells were processed on day 1 and half of the cells of each donor were matured into TRM with anti-CD3, IL-15 and TGF beta for 14 days. Both day 1 TCM and matured day 14 TRM-like cells were further processed using the 5´10X genomics workflow.

2023-06-12 | E-MTAB-12840 | biostudies-arrayexpress

Development pathway for skin resident memory CD103+CD8+ T cells

Project description:Tissue resident memory T cells (TRM) provide superior protection against infection localised to extra-lymphoid compartments in the body. Here we show that CD103+CD8+ TRM cells develop in skin from killer cell lectin-like receptor (KLR)G1-negative precursors that selectively infiltrate the epithelial layer. In the skin, a combination of chemokine-guided epithelial entry, local interleukin (IL)-15 and transforming growth factor (TGF)-Î² signalling is required for formation and survival of these long-lived memory cells. Importantly, TRM differentiation results in the gradual acquisition of a unique transcriptional profile that differs from that expressed by memory cells in the circulation and other types of skin-resident intra-epithelial T cells, such as the dendritic epidermal T cells (DETC). We provide a comprehensive molecular and developmental framework for the local differentiation of a distinct type of peripheral memory T cell that contributes to an important first-line of immune defence in barrier tissues such as skin and mucosa. 24 samples were analyzed: 3 replicates of memory gB-T CD8+. CD103+ T cells isolated from the skin of C57/BL6 mice on day 30 p.i. with HSV KOS. 3 replicates of memory P14 CD8+ T cells isolated from gut of mice on day 60 p.i. with LCMV Armstrong. 3 replicates of memory gB-T CD8+ T cells from the lung of mice on day 30 p.i. with influenza WSN. 3 replicates of memory CD62L high CD8+ T cells from the spleen of mice on day 30 p.i. with HSV KOS. 3 replicates of memory CD62L low CD8+ T cells from the spleen of mice of day 30 p.i. with HSV KOS. 3 replicates of Î³Î´-DETC isolated from the skin of C57/BL6 mice on day 30 p.i. with HSV KOS. 3 replicates of Î±Î²-DETC from naive TCRÎ´-/- mice; and 3 replicates of naive gB-T CD8+ T cells from the spleen of naive gB-T transgenic mice.

2013-10-01 | E-GEOD-47045 | biostudies-arrayexpress

Single cell RNA-seq of human breast skin cells

Project description:Cells were generated for a single cell atlas of adult human skin to dissect the cellular and molecular organisation underpinning human skin immune barrier function. Surplus skin from breast reconstruction surgery was collected (n=3), then the top 200 μm layer was taken. Epidermis was separated from the dermis, and both layers were separately digested. Single cells were FACS sorted into eight categories, then loaded onto a 10x Genomics Chromium Controller, and sequenced on an Illumina HiSeq 4000.

2021-02-10 | E-MTAB-8142 | biostudies-arrayexpress

Human embryonic yolk sac CITE-seq data

Project description:In this study we used single cell multi-omics profiling to create an atlas of the human YS to gain insights into its haematopoietic, metabolic and nutritive functions during early embryonic development. This contains CITE-seq data (surface protein and cytosolic RNA content) data from two biological replicates. Pooled lanes were demultiplexed using SoupOrCell (for alignment and demultiplexing software and version numbers, please see accompanying manuscript and protocols within this accession). Raw count files provided are directly as output by alignment software, without any quality control applied. Quality control is described in accompanying manuscript methods. Metadata by barcode are provided as supplementary tables in accompanying manuscript.

2022-12-08 | E-MTAB-11549 | biostudies-arrayexpress

Human fetal liver CITE-seq data

Project description:In this study we used single cell multi-omics profiling to create an atlas of the human YS to gain insights into its haematopoietic, metabolic and nutritive functions during early embryonic development. This contains fetal liver CITE-seq (surface protein and cytosolic RNA content) data from six biological replicates. Pooled lanes were demultiplexed using SoupOrCell (for alignment and demultiplexing software and version numbers, please see accompanying manuscript and protocols within this accession). Raw count files provided are directly as output by alignment software, without any quality control applied. Quality control is described in accompanying manuscript methods. Metadata by barcode are provided as supplementary tables in accompanying manuscript.

2022-12-08 | E-MTAB-11613 | biostudies-arrayexpress

Human embryonic liver CITE-seq data

Project description:In this study we used single cell multi-omics profiling to create an atlas of the human YS to gain insights into its haematopoietic, metabolic and nutritive functions during early embryonic development. This contains embryonic liver CITE-seq (surface protein and cytosolic RNA content) data from three biological replicates. Pooled lanes were demultiplexed using SoupOrCell (for alignment and demultiplexing software and version numbers, please see accompanying manuscript and protocols within this accession). Raw count files provided are directly as output by alignment software, without any quality control applied. Quality control is described in accompanying manuscript methods. Metadata by barcode are provided as supplementary tables in accompanying manuscript.

2022-12-08 | E-MTAB-11618 | biostudies-arrayexpress

TCR repertoire profiling of CMV specific and SARS-CoV2 Spike specific CD8+ T cells using single cell sequencing

Project description:We introduced single-chain trimer (SCT) technologies into a high throughput platform for pMHC library generation that can be used for screening antigen specific CD8+ T cells. We compared the diversity of T cell receptor repertoire captured by SCT and folded peptide-MHC multimer presenting HLA-A02:01 restricted CMV peptide. We then constructed SCT libraries designed to capture SARS-CoV-2 spike specific CD8+ T cells from COVID-19 participants and healthy donors. TCR sequencing with antigen specificity was analyzed. The immunogenicity of these epitopes was validated by functional assays of T cells with cloned TCRs captured using SCT libraries.

2022-01-01 | E-MTAB-11229 | biostudies-arrayexpress

Single-cell profiling of the leukemic and non-leukemic immune cell compartments in CD8+ T-cell Large Granular Lymphocytic Leukemia

Project description:We performed a detailed and precise characterisation of the clonally expanded leukemic cells in CD8+ T-cell Large Granular Lymphocytic Leukemia (T-LGLL). By combining scRNA+TCRαβ-seq with bulk RNA sequencing data we showed evidence of a strong antigen-driven immune response that shapes the entire immune cell repertoire in T-LGLL. Our study highlights how the whole immune cell repertoire including the hyperexpanded CD8+ T-LGLL cells, the non-leukemic CD8+ cells, CD4+ cells, and monocytes contribute to the CD8+ T-LGLL disease phenotype. The raw data for this study have been deposited to the controlled-access archive EGA under EGAS00001005297.

2021-11-26 | E-MTAB-11170 | biostudies-arrayexpress

Somatic mutations in lymphocytes in patients with immune-mediated aplastic anemia

Project description:In this study, we investigated somatic mutations of CD4+ and CD8+ T cells in patients with immune-mediated aplastic anemia (AA). To understand the role of mutations, we performed single-cell level analysis of 6 longitudinal samples of 2 AA patients carrying STAT3 or KRAS and other mutations in CD8+ T cells. The analysis was performed using V(D)J and 5' gene expression platform (10X Genomics). STAT3 mutated clone was clearly distinguishable from other CD8+ T cells and showed a cytotoxic phenotype, attenuated by successful immunosuppressive treatment. Our results suggest that somatic mutations in T cells can alter T cell phenotype warranting further investigation of their role in the pathogenesis of immune-mediated AA.

2021-03-24 | E-MTAB-9969 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data