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| 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
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| 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.
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| 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.
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| 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 |
| E-mail(s) |
cctrbioinfo@vcu.edu
|
| 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 |
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| Platforms (2) |
| GPL20301 |
Illumina HiSeq 4000 (Homo sapiens) |
| GPL30173 |
NextSeq 2000 (Homo sapiens) |
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| Samples (25)
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| This SubSeries is part of SuperSeries: |
| GSE235169 |
Evaluation of breast cancer PDX tumor heterogeneity |
|
| Relations |
| BioProject |
PRJNA985573 |
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