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Series GSE137467 Query DataSets for GSE137467
Status Public on Sep 14, 2022
Title Investigating the effects on the tumour and tumour environment transcriptome, of inhibiting PKC in conjunction with Docetaxel treatment [RNA-seq]
Organisms Homo sapiens; Mus musculus
Experiment type Expression profiling by high throughput sequencing
Summary The breast tumour microenvironment (TME) includes fibroblasts, adipocytes, inflammatory and immune cells. While treatment of tumours with chemotherapeutic agents such as Docetaxel, leads to apoptosis of tumour cells, it can also have consequences for the cellular makeup and transcriptional profile of the TME and these, like increased epithelial mesenchymal transition can promote undesirable consequences, such as Cancer Stem Cell development. PKC-theta may have a role in these undesired effects. To be able to examine the effects of co-treatment of Docetaxel with an inhibitor of PKC-theta, we performed RNA-seq on tumours from mice injected with the human breast cancer cell line MDA-MB-231. We then separated reads mapped to the human and mouse genomes in silico, creating tumour and TME transcriptomes for control, Docetaxel, PKC-theta inhibitor and combination treated mice. Separation of the tumour and TME profiles illustrated a role for PKC-theta in the induction of a more basal-type transcriptome in the tumour, and of EMT in the TME.
 
Overall design 4 different treatments, 3 or 4 replicates, samples mapped to both human and mouse genomes.
 
Contributor(s) Hardy K, Tan A, Rao S
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Submission date Sep 16, 2019
Last update date Sep 14, 2022
Contact name Kristine Hardy
E-mail(s) kristine.hardy@anu.edu.au
Organization name University of Canberra
Lab Cytokine Gene Expression
Street address University of Canberra
City Bruce
State/province ACT
ZIP/Postal code 0200
Country Australia
 
Platforms (1)
GPL19415 Illumina NextSeq 500 (Homo sapiens; Mus musculus)
Samples (13)
GSM4079821 Tumour_1 [A327]
GSM4079822 Tumour_2 [A328]
GSM4079823 Tumour_3 [A330]
Relations
BioProject PRJNA565684
SRA SRP221717

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
GSE137467_gene_count_matrix.csv.gz 780.5 Kb (ftp)(http) CSV
GSE137467_gene_count_matrix_m.csv.gz 592.8 Kb (ftp)(http) CSV
SRA Run SelectorHelp
Raw data are available in SRA
Processed data are available on Series record

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