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PolyA RNA-seq from liposarcoma cells treated with Nutlin3R and/or Carfilzomib

ABSTRACT: Analysis of steady-state mRNA levels in liposarcoma cells treated for 28 hr with 0.05% DMSO or 10 uM Nutlin3R and/or 12.5 nM Carfilzomib

ORGANISM(S): Homo sapiens

PROVIDER: GSE226530 | GEO | 2023/05/12

REPOSITORIES: GEO

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PolyA RNA-seq from liposarcoma cells treated with Nutlin3R

Project description:Analysis of steady-state mRNA levels in liposarcoma cells treated for 16 hr with 0.05% DMSO or 10 uM Nutlin3R

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Comparative expression analysis of carfilzomib-resistant and parental LP-1 human multiple myeloma cells

Project description:LP-1 cells were exposed to stepwise increasing concentrations of carfilzomib over a period of 18 weeks: cells adapted to growth in 4 nM carfilzomib by 4 weeks, in 6 nM in another 6 weeks and in 12 nM after a further 8 weeks. The resulting cell culture, denoted LP-1/Cfz, retained resistance to carfilzomib even when tested after removal of selective pressure for approximately 8 weeks.

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Comparison of the gene expression profiles of carfilzomib-resistant derivatives versus parental human myeloma cell lines

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Comparison of the gene expression profiles of carfilzomib-resistant derivatives versus parental human myeloma cell lines

Project description:KMS-11 and KMS-34 cells were exposed to stepwise increasing concentrations of carfilzomib over a period of 18 weeks: cells adapted to growth in 4 nM carfilzomib by 4 weeks, in 6 nM in another 6 weeks and in 12 nM after a further 8 weeks. The resulting cell cultures, denoted KMS-11/Cfz and KMS-34/Cfz, respectively, retained resistance to carfilzomib even when tested after removal of selective pressure for approximately 8 weeks. KMS-11/Cfz and KMS-34/Cfz cells were profiled for gene expression after 1 week of growth in the absence of carfilzomib together with parental KMS-11 and KMS-34 cells which had not been selected in the drug (triplicate samples).

2015-07-09 | E-GEOD-69078 | biostudies-arrayexpress

Genome-wide analysis of colon cancer cell SW480_Control, _BOP1, _CKS2 and _NFIL3 treated with different inhibitors

Project description:SW480 cells overexpressing BOP1, CKS2 or NFIL3 migrated more actively compared to Control cells. Migration induced by BOP1, CKS2 or NFIL3 was repressed by interfering with distinct signaling systems using small- molecular-weight inhibitors, i.e., interference with PI3K, JNK and Notch in the case of BOP1, with PI3K and p38 MAPK in the case of CKS2, as well as with PI3K, p38 and mTOR in the case of NFIL3. Gene expression profilings suggest that BOP1, CKS2 and NFIL3 overexpression are associated functionally with a series of migration-related genes, which can be repressed transcriptionally by specific pathway inhibitors. SW480 stable cells were grown in DMEM, 10% FCS, and treated for 24 hr with the following inhibitors or with solvent (DMSO): SW480_Control with DMSO; SW480_BOP1 with DMSO, LY294002 (3.3 uM), SP600125 (33.3 nM) and DAPT (667 nM); SW480_CKS2 with DMSO, LY294002 (3.3 uM) and SB203580 (3.3 uM); SW480_NFIL3 with DMSO, LY294002 (3.3 uM), SB203580 (3.3 uM) and Rapamycin (33.3 nM).

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Secondary proteasome inhibitor carfilzomib resistant myeloma cell lines

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Whole-transcript expression data for liposarcoma

Project description:Liposarcoma is the most common soft tissue sarcoma, accounting for about 20% of cases. Liposarcoma is classified into 5 histologic subtypes that fall into 3 biological groups characterized by specific genetic alterations. To identify genes that contribute to liposarcomagenesis and to better predict outcome for patients with the disease, we undertook expression profiling of liposarcoma. U133A expression profiling was performed on 140 primary liposarcoma samples, which were randomly split into training set (n=95) and test set (n=45). A multi-gene predictor for distant recurrence-free survival (DRFS) was developed using the supervised principal component method. Expression levels of the 588 genes in the predictor were used to calculate a risk score for each patient. In validation of the predictor in the test set, patients with low risk score had a 3-year DRFS of 83% vs. 45% for high risk score patients (P=0.001). The hazard ratio for high vs. low score, adjusted for histologic subtype, was 4.42 (95% confidence interval 1.26-15.55; P=0.021). The concordance probability for risk score was 0.732. Genes related to adipogenesis, DNA replication, mitosis, and spindle assembly checkpoint control were all highly represented in the multi-gene predictor. Three genes from the predictor, TOP2A, PTK7, and CHEK1, were found to be overexpressed in liposarcoma samples of all five subtypes and in liposarcoma cell lines. Knockdown of these genes in liposarcoma cell lines reduced proliferation and invasiveness and increased apoptosis. Thus, genes identified from this predictor appear to have roles in liposarcomagenesis and have promise as therapeutic targets. In addition, the multi-gene predictor will improve risk stratification for individual patients with liposarcoma.

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