Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

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

ABSTRACT: 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).

ORGANISM(S): Homo sapiens

SUBMITTER: Robert Hawley

PROVIDER: E-GEOD-69078 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

KLF4-SQSTM1/p62-associated prosurvival autophagy contributes to carfilzomib resistance in multiple myeloma models.

Riz Irene I Hawley Teresa S TS Hawley Robert G RG

Oncotarget 20150601 17

Multiple myeloma (MM) is an incurable clonal plasma cell malignancy. Because of a high rate of immunoglobulin synthesis, the endoplasmic reticulum of MM cells is subjected to elevated basal levels of stress. Consequently, proteasome inhibitors, which exacerbate this stress by inhibiting ubiquitin-proteasome-mediated protein degradation, are an important new class of chemotherapeutic agents being used to combat this disease. However, MM cells still develop resistance to proteasome inhibitors such ...[more]

PMID: 26109433

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Project description:In multiple myeloma (MM), abnormal plasma cells interact with bone marrow (BM) stromal cells and vascular cells among others. A part of the BM milieu is considered highly hypoxic, and myeloma cells in situ may be influenced by circumstances other than normoxia in vitro. Hence, we attempted to confirm the role of hypoxic MM-derived exosomes in the BM milieu. We established a novel hypoxia-resistant cell line, KMS-11-HR, derived from KMS-11 cells cultured for >4 months under hypoxia (1% O2), as a model of MM cells localizing in an extensively hypoxic milieu. We used KMS-11 cells and KMS-11-HR cells, as donor cells, and HUVECs as recipient cells. Exosomes derived from KMS-11 cells (normoxia or hypoxia) and exosomes derived from KMS-11-HR cells (hypoxia-resistant sub-line) were used for validation of angiogeneic activity, such as tube formation assay. Exosomes derived from the KMS-11-HR cells significantly increased tube formation of HUVECs than those from KMS-11 cells. To identify intercellular and exosomal miRNAs specifically expressed in hypoxia-resistant cells, we assess the expression profiles of intercellular and extracellular miRNAs in KMS-11 cells and KMS-11-HR cells using Taqman MicroRNA Array v2.0 (Applied Biosystems, Bedford, MA). KMS-11 cells and KMS-11-HR cells were cultured for 24 hours under hypoxic conditions (1% O2). The exosome fraction was obtained from culture medium using Exoquick Exosome Precipitation Solution (System Biosciences, Mountain View, CA, USA). Isolation of cellular and exosomal miRNAs was performed using the miRNsasy kit (Qiagen). The expression profile of miRNAs was determined using the Human Taqman miRNA Arrays A (Applied Biosystems). RNU6B and a spike control (ath-miR159) were used as an invariant control for the cell and exosome, respectively. QRT-PCR was carried out on an Applied Biosystems 7900HT thermal cycler using the manufacturerM-bM-^@M-^Ys recommended program. Finally, all the raw data from each array was run on Data Assist Software ver.3.1 (Applied Biosystems).

Project description:The role of microRNAs (miRNAs) in multiple myeloma (MM) has yet to be fully elucidated. To identify miRNAs that are potentially deregulated in MM, we investigated those mapping within transcription units, based on evidence that intronic miRNAs are frequently coexpressed with their host genes. To this end, we monitored host transcript expression values in a panel of 20 human MM cell lines (HMCLs) profiled on Affymetrix U133A oligonucleotide microarrays and focused on transcripts whose expression varied significantly across the dataset. We identified transcripts specific to six miRNA host genes (CCPG1, GULP1, EVL, TACSTD1, MEST, and TNIK) whose average changes in expression varied at least 2-fold from the mean of the examined dataset. We evaluated the expression levels of the corresponding intronic miRNAs by quantitative real-time RT-PCR. There was a significant correlation between the expression levels of MEST, EVL, and GULP1 and those of the corresponding miRNAs miR-335, miR-342-3p, and miR-561, respectively. Genome-wide profiling of the 20 HMCLs with the Affymetrix GeneChip human mapping 250K array set indicated that the increased expression of the three host genes and their corresponding intronic miRNAs was not correlated with local copy number variations. Notably, miRNAs and their host genes were overexpressed in a fraction of primary tumors with respect to normal plasma cells; however, this finding was not correlated with known molecular myeloma groups. The predicted putative miRNA targets, as well as the transcriptional profiles associated with the primary tumors, suggest that MEST/miR-335 and EVL/miR-342-3p may play a role in plasma cell homing and/or interactions with the bone marrow microenvironment. Our data support the idea that intronic miRNAs and their host genes are regulated dependently, and may contribute to the understanding of their biological roles in cancer. To our knowledge, this is the first evidence of deregulated miRNA expression in MM, providing insights that may lead to the identification of new biomarkers and altered molecular pathways of the disease. Keywords: integrative genomic analysis of miR-335, miR-342, and miR-561 in multiple myeloma This series of microarray experiments contains the genome-wide profiles of 20 HMCLs. 250 nanograms of genomic DNA was processed and, in accordance with the manufacturer's protocols, 90 micrograms of fragmented biotin-labelled DNA were hybridized on GeneChip® Human Mapping 250K NspI Arrays (Affymetrix Inc.). The arrays were scanned using the GeneChip® Scanner 3000 7G. The images were acquired using Affymetrix GeneChip® Operating Software (GCOS version 1.4). Copy number values for individual SNPs were extracted and converted from CEL files into signal intensities using GTYPE 4.1 and Affymetrix Copy Number Analysis Tool (CNAT 4.0.1) softwares. Raw data were extracted using the Hidden Markov Model Genomic Smoothing window was set to 0. After the preprocessing, piecewise constant estimates of the underlying local DNA CN variation was calculated using the DNA copy Bioconductor package, which looks for optimal breakpoints using circular binary segmentation (CBS).

Dataset Information

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

Publications

KLF4-SQSTM1/p62-associated prosurvival autophagy contributes to carfilzomib resistance in multiple myeloma models.

Similar Datasets

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