Homo sapiens
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA153859 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE29711: Molecular Mechanisms of Bortezomib Resistant Adenocarcinoma cells [CGH data] GSE29712: Molecular Mechanisms of Bortezomib Resistant Adenocarcinoma cells [GEP data] Refer to individual Series
2011-06-04 | E-GEOD-29713 | biostudies-arrayexpress
Project description:Molecular Mechanisms of Bortezomib Resistant Adenocarcinoma cells [CGH data]
| PRJNA153857 | ENA
Project description:Bortezomib resistance in CCRF-CEM cell line [GEP]
| PRJNA301042 | ENA
Project description:Gene expression profile (GEP) was analyzed from cultured bone marrow (BM) samples from patients with bortezomib responsive versus bortezomib resistant myeloma after 6-8 hours incubation in vitro with bortezomib 2 µg/ml or with PBS. Case D also had a fresh BM sample taken 75 minutes after IV injection of bortezomib.
2013-11-01 | GSE51940 | GEO
Project description:Gene expression profile (GEP) was analyzed from cultured bone marrow (BM) samples from patients with bortezomib responsive versus bortezomib resistant myeloma after 6-8 hours incubation in vitro with bortezomib 2 µg/ml or with PBS. Case D also had a fresh BM sample taken 75 minutes after IV injection of bortezomib. Comparative gene expression profiling of cultured bone marrow samples from from patients with bortezomib responsive versus bortezomib resistant myeloma after 6-8 hours incubation in vitro with bortezomib 2 µg/ml or with PBS.
2013-11-01 | E-GEOD-51940 | biostudies-arrayexpress
Project description:The model is based on publication:
Mathematical analysis of gefitinib resistance of lung adenocarcinoma caused by MET amplification
Abstract:
Gefitinib, one of the tyrosine kinase inhibitors of epidermal growth factor receptor (EGFR), is effective for treating lung adenocarcinoma harboring EGFR mutation; but later, most cases acquire a resistance to gefitinib. One of the mechanisms conferring gefitinib resistance to lung adenocarcinoma is the amplification of the MET gene, which is observed in 5–22% of gefitinib-resistant tumors. A previous study suggested that MET amplification could cause gefitinib resistance by driving ErbB3-dependent activation of the PI3K pathway. In this study, we built a mathematical model of gefitinib resistance caused by MET amplification using lung adenocarcinoma HCC827-GR (gefitinib resistant) cells. The molecular reactions involved in gefitinib resistance consisted of dimerization and phosphorylation of three molecules, EGFR, ErbB3, and MET were described by a series of ordinary differential equations. To perform a computer simulation, we quantified each molecule on the cell surface using flow cytometry and estimated unknown parameters by dimensional analysis. Our simulation showed that the number of active ErbB3 molecules is around a hundred-fold smaller than that of active MET molecules. Limited contribution of ErbB3 in gefitinib resistance by MET amplification is also demonstrated using HCC827-GR cells in culture experiments. Our mathematical model provides a quantitative understanding of the molecular reactions underlying drug resistance.
2024-09-02 | BIOMD0000000827 | BioModels
Project description:SPO11-promoted DNA double-strand breaks (DSBs) formation is a crucial step for meiotic recombination, and it is indispensable to detect the broken DNA ends accurately for dissecting the molecular mechanisms behind. Here, we report a novel technique, named DEtail-seq (DNA End tailing followed by sequencing), that can directly and quantitatively capture the meiotic DSB 3’ overhang hotspots at single-nucleotide resolution.
2023-01-08 | GSE154227 | GEO
Project description:Genome-wide analysis of gene expression in response to bortezomib treatment(33 nM) in cell lines before and after selection for resistance. Multiple myeloma (MM) is a hematologic malignancy characterized by the proliferation of neoplastic plasma cells in the bone marrow. While the first-to-market proteasome inhibitor bortezomib/VELCADE has been successfully used to treat myeloma patients, drug resistance remains an emerging problem. In this study, we identify signatures of bortezomib sensitivity and resistance by gene expression profiling (GEP) using pairs of bortezomib-sensitive and -resistant cell lines created from the Bcl-XL/Myc double transgenic mouse model of MM. Finally, these data reveal complex heterogeneity within MM and suggest resistance to one drug class reprograms resistant clones to make them more sensitive to a distinct class of drugs. This study represents an important next step in translating pharmacogenomic profiling and may be useful for understanding personalized pharmacotherapy of MM patients. Transcript profiling timecourses after treatment with Bortezomib treatment (33nm) in Multiple Myeloma derived cell lines.
2013-07-02 | E-GEOD-41928 | biostudies-arrayexpress
Project description:Genome-wide analysis of gene expression in response to bortezomib treatment (33 nM) in cell lines before and after selection for resistance. Multiple myeloma (MM) is a hematologic malignancy characterized by the proliferation of neoplastic plasma cells in the bone marrow. While the first-to-market proteasome inhibitor bortezomib/VELCADE has been successfully used to treat myeloma patients, drug resistance remains an emerging problem. In this study, we identify signatures of bortezomib sensitivity and resistance by gene expression profiling (GEP) using pairs of bortezomib-sensitive and -resistant cell lines created from the Bcl-XL/Myc double transgenic mouse model of MM. Finally, these data reveal complex heterogeneity within MM and suggest resistance to one drug class reprograms resistant clones to make them more sensitive to a distinct class of drugs. This study represents an important next step in translating pharmacogenomic profiling and may be useful for understanding personalized pharmacotherapy of MM patients. Transcript profiling timecourses after treatment with Bortezomib treatment (33nm) in Multiple Myeloma derived cell lines.
2013-07-02 | E-GEOD-41927 | biostudies-arrayexpress