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RNA sequencing data for CD4+ T cells infiltrating human lung cancer

RNA sequencing data for CD4+ T cells infiltrating human lung cancer
RNA sequencing data for CD4+ T cells infiltrating human lung cancer
This dataset supports the thesis entitled ‘Investigation into the anti-tumor responses of CD4+ T cells in human lung cancer.’ Doctoral Thesis, University of Southampton 2021. The dataset describes the TPM counts for all genes in CD4 T cells isolated from lung cancer. The dataset also describes the statistical values for all genes found differentially expressed between CXCL13 expressing vs non-expressing cells. Further, the dataset provides details on all single cells sequenced in this study. Related publication: bioRxiv preprint doi: https://doi.org/10.1101/2020.01.08.898346
University of Southampton
Singh, Divya
c01071c1-9fd7-49ca-ab40-49d0a2bc4dc9
Vijayanand, Pandurangan
9c30e852-df70-4802-824b-f6e30b0554ba
Ottensmeier, Christian
42b8a398-baac-4843-a3d6-056225675797
Singh, Divya
c01071c1-9fd7-49ca-ab40-49d0a2bc4dc9
Vijayanand, Pandurangan
9c30e852-df70-4802-824b-f6e30b0554ba
Ottensmeier, Christian
42b8a398-baac-4843-a3d6-056225675797

Singh, Divya (2021) RNA sequencing data for CD4+ T cells infiltrating human lung cancer. University of Southampton doi:10.5258/SOTON/D1692 [Dataset]

Record type: Dataset

Abstract

This dataset supports the thesis entitled ‘Investigation into the anti-tumor responses of CD4+ T cells in human lung cancer.’ Doctoral Thesis, University of Southampton 2021. The dataset describes the TPM counts for all genes in CD4 T cells isolated from lung cancer. The dataset also describes the statistical values for all genes found differentially expressed between CXCL13 expressing vs non-expressing cells. Further, the dataset provides details on all single cells sequenced in this study. Related publication: bioRxiv preprint doi: https://doi.org/10.1101/2020.01.08.898346

Text
RNA_sequencing_data_in_TPM_bulk.csv - Dataset
Available under License Creative Commons Attribution.
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Text
cxcl13exprVScxcl13nonexpr.csv - Dataset
Available under License Creative Commons Attribution.
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meta_data_singlecell.csv - Dataset
Available under License Creative Commons Attribution.
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Singh_READ_ME_File_6_.docx - Text
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More information

Published date: 2021

Identifiers

Local EPrints ID: 445661
URI: http://eprints.soton.ac.uk/id/eprint/445661
PURE UUID: 1c0b22d2-c541-4468-b00c-23085ae54e27

Catalogue record

Date deposited: 05 Jan 2021 17:33
Last modified: 05 May 2023 17:21

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Contributors

Creator: Divya Singh
Research team head: Pandurangan Vijayanand
Research team head: Christian Ottensmeier

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