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Series GSE205049 Query DataSets for GSE205049
Status Public on Jul 20, 2023
Title Spatially Resolved Multi-Omics Single-Cell Analyses Inform Mechanisms of Immune Dysfunction in Pancreatic Cancer
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary As pancreatic ductal adenocarcinoma (PDAC) continues to be recalcitrant to therapeutic interventions including poor response to immunotherapy, albeit effective in other solid malignancies, a more nuanced understanding of the immune microenvironment in PDAC is urgently needed. Using a spatially-resolved multimodal single cell approach we unveil a detailed view of the immune micromilieu in PDAC with specific emphasis on the correlation of immune subtypes with patient prognosis. We substantiate the exhausted phenotype of CD8 T cells and immunosuppressive features of myeloid cells, and highlight immune subpopulations with potentially underappreciated roles in PDAC that diverge from immune populations within adjacent normal areas, particularly CD4 T cell subsets presenting immunosuppressive phenotypes with varying modes of exhaustion. We reveal striking differences between immune phenotypes in PDAC and lung adenocarcinoma, which explain their differential responsiveness to current immunotherapies, providing a comprehensive resource for functional studies and the exploration of therapeutically actionable targets in PDAC.
 
Overall design mRNA profiles of 9 PDAC and paired adjacent tissues
 
Contributor(s) Yousuf S, Qiu M, Roth S
Citation(s) 37263303
Submission date May 29, 2022
Last update date Jul 24, 2023
Contact name MENGJIE QIU
E-mail(s) Mengjie.Qiu@med.uni-heidelberg.de
Phone 015237253115
Organization name Universitat Heidelberg
Street address Im Neuenheimer 672
City Heidelberg
State/province Choose State/Province
ZIP/Postal code 69120
Country Germany
 
Platforms (1)
GPL20301 Illumina HiSeq 4000 (Homo sapiens)
Samples (18)
GSM6204591 Patinet 1 Adjacent Normal Tissue
GSM6204592 Patinet 1 PDAC
GSM6204593 Patinet 2 Adjacent Normal Tissue
Relations
BioProject PRJNA843384

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE205049_RAW.tar 207.6 Mb (http)(custom) TAR (of MTX, TSV)
GSE205049_scRNA-seq-annotations.csv.gz 725.2 Kb (ftp)(http) CSV
GSE205049_scRNA-seq-integrated_GEM.csv.gz 40.1 Mb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file
Processed data are available on Series record

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