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Series GSE272834 Query DataSets for GSE272834
Status Public on Aug 10, 2024
Title RNA-Seq Analysis of Paclitaxel-Resistant PDX Models in Mice
Organism Mus
Experiment type Expression profiling by high throughput sequencing
Summary In this study, we aimed to investigate the gene expression changes associated with the development of paclitaxel resistance in patient-derived xenograft (PDX) models. We established paclitaxel-resistant PDX models in mice by administering 10 mg/kg of paclitaxel via intraperitoneal injection once a week. The treatment continued until the sixth generation of the PDX models was successfully established. RNA sequencing was performed on samples from the first generation (control and treated groups) and the sixth generation (control and treated groups) to identify differentially expressed genes and pathways involved in drug resistance. Our findings provide insights into the molecular mechanisms underlying paclitaxel resistance and may inform the development of more effective therapeutic strategies.
 
Overall design We constructed paclitaxel-resistant PDX models using two PDX lines. Mice were treated with 10 mg/kg of paclitaxel via intraperitoneal injection once a week. The treatment was continued until the sixth generation of the PDX models was established. RNA sequencing was performed on four groups of samples: the first generation control group (Ctrl1), the first generation treated group (Treated1), the sixth generation control group (Ctrl6), and the sixth generation treated group (Treated6). Each group consisted of biological replicates to ensure robust statistical analysis. Sequencing libraries were prepared using standard protocols and sequenced on an Illumina platform. The resulting data were analyzed to identify differentially expressed genes and pathways associated with paclitaxel resistance.
 
Contributor(s) Dong Z, Li X, Lee M, Zhou L, Tian J
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Submission date Jul 23, 2024
Last update date Aug 12, 2024
Contact name liting zhou
E-mail(s) zhou1032@126.com
Phone 13526805433
Organization name Zhengzhou University
Street address 100 Science Avenue
City zhengzhou
ZIP/Postal code 450001
Country China
 
Platforms (1)
GPL34733 MGISEQ-2000RS (Mus)
Samples (4)
GSM8413265 LEG34, Passage 6, Control
GSM8413266 LEG34, Passage 6, Paclitaxel (10 mg/kg, every week, i.p.)
GSM8413267 LEG92, Passage 6, Control
Relations
BioProject PRJNA1139078

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Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE272834_RAW.tar 780.0 Kb (http)(custom) TAR (of TXT)
SRA Run SelectorHelp
Raw data are available in SRA

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