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Series GSE235168 Query DataSets for GSE235168
Status Public on Jul 18, 2023
Title Evaluation of breast cancer PDX tumor heterogeneity at single cell resolution [scRNA-seq]
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Breast cancer is the most commonly diagnosed cancer among women. PDXs (patient-derived xenografts) are similar to cancer cell lines but differ in that they are maintained in a physiological setting as soon as they are isolated from the patient and for subsequent passages. These models are valuable for preclinical trials because PDX models have been shown to closely match their patient counterparts, both in genomic profile and response to treatment. One challenge to treatment development is tumor heterogeneity. In this study, we profiled ER+ and triple negative breast cancer PDX models using single-cell RNA-sequencing. This data may help identify populations of cells which are susceptible to certain treatments in order to improve clinical outcomes for breast cancer patients.
Overall design ER+ and triple-negative mammary tumors were subjected to single-cell RNA sequencing with the goal of identifying and profiling sub-populations within models to improve outcomes of targeted treatments.
Contributor(s) Harrell JC, Olex AL, Dozmorov M, Altman J, Boyd D, Zboril E
Citation(s) 36900375, 37370789
Submission date Jun 16, 2023
Last update date Jul 19, 2023
Contact name Wright Center for Clinical and Translational Research Bioinformatics Core
Phone 804-828-1621
Organization name Virginia Commonwealth University
Street address 203 E Cary St
City Richmond
State/province VA
ZIP/Postal code 23298
Country USA
Platforms (2)
GPL20301 Illumina HiSeq 4000 (Homo sapiens)
GPL30173 NextSeq 2000 (Homo sapiens)
Samples (25)
GSM7497157 BCM-0132_107455
GSM7497158 BCM-15034_107244
GSM7497159 BCM-15034_107352
This SubSeries is part of SuperSeries:
GSE235169 Evaluation of breast cancer PDX tumor heterogeneity
BioProject PRJNA985573

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Supplementary file Size Download File type/resource
GSE235168_RAW.tar 642.9 Mb (http)(custom) TAR (of MTX, TSV)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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