High accuracy gene expression profiling of sorted cell subpopulations from breast cancer PDX model tissue
Ontology highlight
ABSTRACT:
PROVIDER: PRJEB39800 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR4436770_1.fastq.gz | Fastqsanger.gz | |||
| ERR4436770_2.fastq.gz | Fastqsanger.gz | |||
| ERR4436780_1.fastq.gz | Fastqsanger.gz | |||
| ERR4436780_2.fastq.gz | Fastqsanger.gz | |||
| ERR4436790_1.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 5 of 80 |
Similar Datasets
Project description:Data sets from 2 experiments using PDX derived human TNBC tissue to compare gene expression between cell subpopulations with distinct marker profiles. The first experiment describes comparison of CD184hi vs. CD184lo population, the second experiment (with a different mouse model) compares CD49f lo vs. CD49fhi as well as CD133lo vs. CD133hi. Each subpopulation shows distinct expression patterns suggestive of distinct function within breast cancer tissue.
2020-08-20 | E-MTAB-9428 | biostudies-arrayexpress
Project description:Intratumor Heterogeneity (ITH) is a functionally important property of tumor tissue and may be involved in drug resistance mechanisms. Although descriptions of ITH can be traced back to very early reports about cancer tissue, mechanistic investigations are still limited by the precision of analysis methods and access to relevant tissue sources. PDX models have provided a reproducible source of tissue with at least a partial representation of naturally occurring ITH. We investigated the properties of phenotypically distinct cell populations by Fluorescence activated cell sorting (FACS) tissue derived cells from multiple tumors from a triple negative breast cancer patient derived xenograft (PDX) model. We subsequently subjected each population to in depth gene expression analysis. Our findings suggest that process related gene expression changes (caused by tissue dissociation and FACS sorting) are restricted to Immediate Early Genes (IEGs). This allowed us to discover highly reproducible gene expression profiles of distinct cellular compartments identifiable by cell surface markers in this particular tumor model. Within the context of data from a previously published model our work suggests that gene expression profiles associated with hypoxia, stemness and drug resistance may reside in tumor subpopulations predictably growing in PDX models. This approach provides a novel opportunity for prospective mechanistic studies of ITH.
| S-EPMC7482927 | biostudies-literature
Project description:The cellular heterogeneity of one patient derived orthotopic breast cancer xenograft model PDX was investigated using flow cytometry, combined with assessment of in vivo tumorigenicity and SNP genotyping array for copy number analysis. Epithelial cell adhesion molecule (EpCAM) was revealed as a highly specific cell surface marker of the human tumor cell population in both xenografts. Based on expression patterns observed in primary tumor tissue, SSEA-4 and CD24 were chosen as markers to further subdivide the luminal tumor cells into four subpopulations. FACS sorting was used to isolate four cell subpopulations. Results: In vivo tumorigenicity assay showed that SSEA-4+/CD24+ cells were non-tumorigenic, while the three other subpopulations were tumorigenic. Tumors resulting from the SSEA-4+/CD24- subpopulation of luminal cancer cells, did not express CD24, while tumors arising from the SSEA-4-/CD24-, and SSEA-4-/CD24+ populations both recapitulated the original tumor containing all four subpopulations. Copy number analysis comparing the four subpopulations between eachother, did reveal high similarity. Although there were some minor differencies between the subpopulations, no differences in genome aberrations could explain their difference in tumorigenicity. Discussion: Our results imply that subpopulations from one primary tumor can give rise to dissimilar daughter tumors. These tumors may not necessarily respond to the same targeted treatment, and thereby represent a therapy escape mechanism. This study highlights that to remove the risk of breast cancer recurrence, inhibition of the molecules critical for driving the tumor progression in several tumor cell subpopulations might be essential Four subpopulations were analysed using Infinium HumanOmniExpressExome BeadChip array. Replicates are not included, the HumanOmniExpressExome-8v1-2_A.egt file was used as a reference.
2015-05-26 | E-GEOD-54595 | biostudies-arrayexpress
Project description:The cellular heterogeneity of one patient derived orthotopic breast cancer xenograft model PDX was investigated using flow cytometry, combined with assessment of in vivo tumorigenicity and SNP genotyping array for copy number analysis. Epithelial cell adhesion molecule (EpCAM) was revealed as a highly specific cell surface marker of the human tumor cell population in both xenografts. Based on expression patterns observed in primary tumor tissue, SSEA-4 and CD24 were chosen as markers to further subdivide the luminal tumor cells into four subpopulations. FACS sorting was used to isolate four cell subpopulations. Results: In vivo tumorigenicity assay showed that SSEA-4+/CD24+ cells were non-tumorigenic, while the three other subpopulations were tumorigenic. Tumors resulting from the SSEA-4+/CD24- subpopulation of luminal cancer cells, did not express CD24, while tumors arising from the SSEA-4-/CD24-, and SSEA-4-/CD24+ populations both recapitulated the original tumor containing all four subpopulations. Copy number analysis comparing the four subpopulations between eachother, did reveal high similarity. Although there were some minor differencies between the subpopulations, no differences in genome aberrations could explain their difference in tumorigenicity. Discussion: Our results imply that subpopulations from one primary tumor can give rise to dissimilar daughter tumors. These tumors may not necessarily respond to the same targeted treatment, and thereby represent a therapy escape mechanism. This study highlights that to remove the risk of breast cancer recurrence, inhibition of the molecules critical for driving the tumor progression in several tumor cell subpopulations might be essential
2015-05-26 | GSE54595 | GEO
Project description:Identify the PDX model of DLBCL subtypes by the microarray expression profiling Four samples without relplicates
2016-02-29 | E-GEOD-65988 | biostudies-arrayexpress
Project description:FOXA1 binding in human breast cancer cells in PDX mice after different treatments
2019-06-01 | GSE101407 | GEO
Project description:The cellular heterogeneity of one patient derived orthotopic breast cancer xenograft model (PDBCX) was investigated using flow cytometry , combined with assessment of in vivo tumorigenicity and whole genome expression profiling. Epithelial cell adhesion molecule (EpCAM) was revealed as a highly specific cell surface marker of the human tumor cell population in both xenografts. Based on expression patterns observed in primary tumor tissue, SSEA-4 and CD24 were chosen as markers to further subdivide the luminal tumor cells into four subpopulations. FACS sorting was used to isolate four cell subpopulations. Results: In vivo tumorigenicity assay showed that SSEA-4+/CD24+ cells were non-tumorigenic, while the three other subpopulations were tumorigenic. Tumors resulting from the SSEA-4+/CD24- subpopulation of luminal cancer cells, did not express CD24, while tumors arising from the SSEA-4-/CD24-, and SSEA-4-/CD24+ populations both recapitulated the original tumor containing all four subpopulations. Whole genome expression analysis revealed distinct transcriptional profiles, and 44 genes were significantly differentially expressed when comparing the tumorigenic vs non-tumorigenic populations. Several interesting genes putatively suppressing the cancer cells ability to initiate tumors in vivo were upregulated in the non-tumorigenic population. We here show that tumor initiating cells within one primary tumor evidently included more than one phenotype. Furthermore, with respect to cell surface marker expression, one of the subpopulations produced tumors unlike both the originating cells, and the original tumor. Discussion: Our results imply that subpopulations from one primary tumor can give rise to dissimilar daughter tumors. These tumors may not necessarily respond to the same targeted treatment, and thereby represent a therapy escape mechanism. This study highlights that to remove the risk of breast cancer recurrence, inhibition of the molecules critical for driving the tumor progression in several tumor cell subpopulations might be essential Gene expression was measured in four cell subpopulations isolated from Patient derived human luminal-like breast cancer xenograft. Four replicates from three subpopulations and three replicates from one subpopulation.
2015-05-26 | E-GEOD-48384 | biostudies-arrayexpress
Project description:To characterize Homologous recombination deficiency (BRCAness) in triple-negative breast cancer PDX models genomic signature was utilized. After normalization using Genotyping Console we obtained absolute copy number profiles using the GAP software (Popova et al, Genome Biol, 2009). The number of Large-scale State Transitions (LSTs) was used to annotate PDX as BRCAness or not (Popova et al, Cancer Res 2012).
2020-01-01 | E-MTAB-8654 | biostudies-arrayexpress
Project description:To characterize Homologous recombination deficiency (BRCAness) in triple-negative breast cancer PDX models genomic signature was utilized. After normalization using ChAS we obtained absolute copy number profiles using the GAP software (Popova et al, Genome Biol, 2009). The number of Large-scale State Transitions (LSTs) was used to annotate PDX as BRCAness or not (Popova et al, Cancer Res 2012).
2020-01-01 | E-MTAB-8653 | biostudies-arrayexpress