The University of Southampton
University of Southampton Institutional Repository
Warning ePrints Soton is experiencing an issue with some file downloads not being available. We are working hard to fix this. Please bear with us.

Dataset for Investigating lipid-responsive T cells in tuberculosis; paving the way for new lipid-based vaccines

Dataset for Investigating lipid-responsive T cells in tuberculosis; paving the way for new lipid-based vaccines
Dataset for Investigating lipid-responsive T cells in tuberculosis; paving the way for new lipid-based vaccines
Data to support University of Southampton Doctoral Thesis "Investigating lipid-responsive T cells in tuberculosis; paving the way for new lipid-based vaccines" Data contains Graphpad files for gdTCR Investigation, Graphpad files for Optimisation of Expansion and Activation Assays, Graphpad files for AIM assay, TIFF file images for IHC staining, Graphpad files for TB data acquired in South Africa, Graphpad files for the investigation of Macaque iNKTs and vector map files created in Snapgene for the mCD1c plasmid.
CD1c, T cells, Tuberculosis
University of Southampton
Gullick, Jennie
49b811a9-332b-4b57-8709-7323fdf890a1
Mansour, Salah
4aecba5a-8387-4f7b-b766-0a9c309ccb8b
Elkington, Paul
60828c7c-3d32-47c9-9fcc-6c4c54c35a15
Sharpe, Sally
e9d3cd63-72d1-4ff0-a115-d7dd7e67b691
Gullick, Jennie
49b811a9-332b-4b57-8709-7323fdf890a1
Mansour, Salah
4aecba5a-8387-4f7b-b766-0a9c309ccb8b
Elkington, Paul
60828c7c-3d32-47c9-9fcc-6c4c54c35a15
Sharpe, Sally
e9d3cd63-72d1-4ff0-a115-d7dd7e67b691

Gullick, Jennie (2021) Dataset for Investigating lipid-responsive T cells in tuberculosis; paving the way for new lipid-based vaccines. University of Southampton doi:10.5258/SOTON/D1977 [Dataset]

Record type: Dataset

Abstract

Data to support University of Southampton Doctoral Thesis "Investigating lipid-responsive T cells in tuberculosis; paving the way for new lipid-based vaccines" Data contains Graphpad files for gdTCR Investigation, Graphpad files for Optimisation of Expansion and Activation Assays, Graphpad files for AIM assay, TIFF file images for IHC staining, Graphpad files for TB data acquired in South Africa, Graphpad files for the investigation of Macaque iNKTs and vector map files created in Snapgene for the mCD1c plasmid.

Archive
gdTCR_Investigation.zip - Dataset
Available under License Creative Commons Attribution.
Download (96kB)
Archive
Optimisation_of_Expansion_and_Activation_Assays.zip - Dataset
Available under License Creative Commons Attribution.
Download (768kB)
Archive
AIM_Assay.zip - Dataset
Available under License Creative Commons Attribution.
Download (161kB)
Archive
IHC.zip - Dataset
Available under License Creative Commons Attribution.
Download (26MB)
Archive
TB_Data.zip - Dataset
Available under License Creative Commons Attribution.
Download (1MB)
Archive
Macaque_Data.zip - Dataset
Available under License Creative Commons Attribution.
Download (31kB)
Text
Dataset_readme.txt - Dataset
Available under License Creative Commons Attribution.
Download (6kB)

Show all 7 downloads.

More information

Published date: 2021
Keywords: CD1c, T cells, Tuberculosis

Identifiers

Local EPrints ID: 451442
URI: http://eprints.soton.ac.uk/id/eprint/451442
PURE UUID: 625c7144-d1c5-4972-bb7b-10c004c6b65e
ORCID for Jennie Gullick: ORCID iD orcid.org/0000-0002-3612-1926
ORCID for Salah Mansour: ORCID iD orcid.org/0000-0002-5982-734X
ORCID for Paul Elkington: ORCID iD orcid.org/0000-0003-0390-0613

Catalogue record

Date deposited: 28 Sep 2021 16:31
Last modified: 29 Sep 2021 01:53

Export record

Altmetrics

Contributors

Creator: Jennie Gullick ORCID iD
Research team head: Salah Mansour ORCID iD
Research team head: Paul Elkington ORCID iD
Research team head: Sally Sharpe

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×