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Series GSE107572 Query DataSets for GSE107572
Status Public on Feb 06, 2019
Title quanTIseq: quantifying immune contexture of human tumors
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary We introduce quanTIseq, a method to quantify the tumor immune contexture, determined by the type and density of tumor-infiltrating immune cells. quanTIseq is based on a novel deconvolution algorithm for RNA sequencing data that was validated with independent data sets. Complementing the deconvolution output with image data from tissue slides enables in silico multiplexed immunodetection and provides an efficient method for the immunophenotyping of a large number of tumor samples.
 
Overall design Blood-derived immune-cell mixtures from 9 healthy donors
 
Contributor(s) Finotello F, Trajanoski Z
Citation(s) 31126321
Francesca Finotello, Clemens Mayer, Christina Plattner, Gerhard Laschober, Dietmar Rieder, Hubert Hackl, Anne Krogsdam, Wilfried Posch, Doris Wilflingseder, Sieghart Sopper, Marieke Jsselsteijn, Douglas Johnsons, Yaomin Xu, Yu Wang, Melinda E Sanders, Monica V Estrada, Paula Ericsson-Gonzalez, Justin Balko, Noel F de Miranda, Zlatko Trajanoski. Molecular and pharmacological modulators of the tumor immune contexture revealed by deconvolution of RNA-seq data. bioRxiv 223180. doi:10.1101/223180
Submission date Dec 01, 2017
Last update date Jun 17, 2019
Contact name Francesca Finotello
Organization name Biocenter, Medical University of Innsbruck
Department Division of Bioinformatics
Street address Innrain 80-82
City Innsbruck
ZIP/Postal code 6020
Country Austria
 
Platforms (1)
GPL16791 Illumina HiSeq 2500 (Homo sapiens)
Samples (9)
GSM2871599 Blood-derived immune-cell mixture from donor 1
GSM2871600 Blood-derived immune-cell mixture from donor 2
GSM2871601 Blood-derived immune-cell mixture from donor 4
Relations
BioProject PRJNA420735
SRA SRP125988

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE107572_raw_count_PBMC_RNAseq.txt.gz 351.0 Kb (ftp)(http) TXT
GSE107572_tpm_PBMC_RNAseq.txt.gz 735.9 Kb (ftp)(http) TXT
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Raw data are available in SRA
Processed data are available on Series record

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