Single cell transcriptomic and proteomic profiles of advanced melanoma patients treated with checkpoint inhibitor immunotherapy

Published: 13 May 2024| Version 1 | DOI: 10.17632/w55dvbb82f.1
Contributors:
Camelia Quek, Xinyu Bai, Ghamdan AlEryani, Ines Silva, Nenad Bartonicek, Kate Harvey, Nigel Maher, Jordan Conway, Rebecca Kassalo, Mainthan Palendira, Robyn Saw, Jonathan Stretch, Kerwin Shannon, Alexander Menzies, Richard Scolyer, Georgina Long, Alexander Swarbrick, James Wilmott

Description

The CITEseq datasets, containing RNA and ADT read counts and metadata (.csv), which were generated through a collaboration between Melanoma Institute Australia, University of Sydney and Garvan Institute of Medical Research. The datasets were comprised of tumours from metastatic melanoma patients with innate resistance, acquired resistance, and response to immunotherapy. Single cell suspension was prepared using 10x Chromium Next GEM Single Cell 3' reagent kits. Cells from two samples were pooled into single libraries. Sequencing libraries were performed using Illumina NextSeq 500 machine, and were demultiplexed using the sample-barcode assignments (.tsv).

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Institutions

Garvan Institute of Medical Research, University of Sydney, Melanoma Institute Australia

Categories

Cancer, Immunotherapy, Melanoma

Funding

National Health and Medical Research Council

Cancer Institute NSW

Melanoma Research Alliance

NSW Health Pathology

Tour de Cure

Cancer Council NSW

University of Sydney

Related Links

Dataset
https://ega-archive.org/studies/EGAS50000000339
is related to this dataset
Software
https://github.com/cameliaquek/singlecell_spatial_multiomics
is related to this dataset

Licence