Fluvastatin-perturbed RNA expression in two t(4;14)-positive multiple myeloma cell lines
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ABSTRACT:
PROVIDER: PRJNA638963 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR12000041_1.fastq.gz | Fastqsanger.gz | |||
| SRR12000041_2.fastq.gz | Fastqsanger.gz | |||
| SRR12000042_1.fastq.gz | Fastqsanger.gz | |||
| SRR12000042_2.fastq.gz | Fastqsanger.gz | |||
| SRR12000043_1.fastq.gz | Fastqsanger.gz |
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Project description:The goal of this study was to determine the gene expression changes following fluvastatin treatment in t(4;14)-positive multiple myeloma (MM) cell lines. To this end, two cell lines (KMS11 and NCI-H929) were treated with fluvastatin (2 micromolar) or ethanol as a solvent control for 24 hours. RNA was extracted and prepared for high-throughput sequencing in duplicate.
2020-07-08 | GSE152327 | GEO
Project description:We designed oligonucleotide tiling arrays spanning the t(4;14) breakpoint region on chromosome 4 to identify additional oncogenic RNAs in an unbiased fashion. Four (4) multiple myeloma bone marrow samples with t(4;14) and twelve (12) MM BM samples without t(4;14) were analyzed. Furthermore, seven (7) bladder (1 normal, 6 malignant), eight (8) colon (1 normal, 7 malignant) and eight (8) esophagus (2 normal, 6 maligant) tissue samples were analyzed. Finally, five (5) multiple myeloma cell line samples with t(4;14) - three (3) of LP-1 and two (2) of H929 - and three (3) MM cell line samples and three (3) non-MM cell line samples without t(4;14) - three (3) of U266 and three (3) of Hela - were analyzed.
2012-07-01 | E-GEOD-36685 | biostudies-arrayexpress
Project description:Multiple myeloma (MM) is characterized by recurrent chromosomal translocations. The multiple myeloma SET domain (MMSET), identified by its fusion to the IgH locus in t(4;14) MM, is universally overexpressed and has been suggested to play an important role in tumorigenicity in t(4;14) MM. In order to identify downstream functional targets of MMSET, we knocked down MMSET expression with shRNAs in KMS11, a t(4;14) MM cell line, and identified differentially expressed genes by gene expression microarray analysis.
2014-07-16 | GSE59424 | GEO
Project description:Multiple myeloma (MM) is characterized by recurrent chromosomal translocations. The translocation t(4;14)(p16;q32) is one of the most common translocation in MMs, affecting 15% of patients, and is associated with very poor prognosis. The histone methyltransferase (HMTase) MMSET is universally overexpressed in t(4;14) MM as a result of the t(4;14) translocation. MMSET is capable of producing 3 major isoforms, the full length MMSET II, short isoforms REIIBP and MMSET I. MMSET II has been suggested to play an important tumorigenic role in t(4;14) MM, but little is yet known about whether and how the MMSET short isoforms contribute to MM tumorigenesis. The aim of this study is to characterize MMSET I roles and determine its downstream targets in t(4;14) MM. In t(4;14) MM cells MMSET I knockdown with shRNAs induced cell apoptosis, reduced colony formation and inhibited tumorigenicity in vivo. We also found MMSET I knockdown decreased GLO1 expression, and ectopic MMSET I increased GLO1 expression, suggesting that MMSET I is an upstream regulator of GLO1. Further analysis indicated that MMSET I bound to GLO1 promoter region and depended on its C-terminus to regulate GLO1 expression. Our preliminary data suggested that MMSET I is an oncoprotein and could regulate GLO1 expression in t(4;14) multiple myeloma cells.
2019-01-01 | GSE98433 | GEO
Project description:Recurrent chromosomal translocations are central to the pathogenesis of multiple myeloma (MM), with t(4;14) translocation being the second-most common and associated with poor prognosis. The nuclear receptor-binding SET domain 2 (NSD2) is overexpressed as a result of the translocation and has been suggested to be the primary oncogenic factor in t(4;14) MM. However, the detailed oncogenic mechanism of NSD2 in MM is still not completely understood. To address the relevant pathways downstream of NSD2 that contributes to myelomagenesis, SILAC-based mass-spectrometry analysis was used to determine NSD2-interacting proteins. We identified 74 proteins and in silico analysis showed that one of them, SMARCA2, interacts with NSD2. Comparison of SMARCA2 expression across MM cell lines with different translocation statuses showed that SMARCA2 was highly expressed in t(4;14) MM cells but not in non-t(4;14) MM cells. SMARCA2 knockdown in t(4;14) MM cells showed reduced cell growth and capacity to form colonies. We further investigated how NSD2 and SMARCA2 regulate the expressions of key myeloma genes, such as PRL3 and CCND1. This study reveals a spectrum of NSD2-interacting proteins involved in different biological pathways, indicating the importance of NSD2 in t(4;14) MM. The interaction between NSD2 and SMARCA2 in regulating the expression of CCND1 and PRL3 suggests the potential of SMARCA2 as a novel therapeutic target for t(4;14) MM.
2021-07-15 | GSE140860 | GEO
Project description:Multiple myeloma (MM) is characterized by recurrent chromosomal translocations. The multiple myeloma SET domain (MMSET), identified by its fusion to the IgH locus in t(4;14) MM, is universally overexpressed and has been suggested to play an important role in tumorigenicity in t(4;14) MM. In order to identify downstream functional targets of MMSET, we knocked down MMSET expression with shRNAs in KMS11, a t(4;14) MM cell line, and identified differentially expressed genes by gene expression microarray analysis. KMS11 cells were treated with shRNAs for 48 h. Total RNA was extracted by using the Qiagen RNeasy Mini kit (Germany). Gene expression was performed using the GeneChip Human Genome U133A Array (Affymetrix) following the manufacturerM-bM-^@M-^Ys instructions. Data analysis was performed using GeneSpring software from Agilent Technologies.
2014-07-16 | E-GEOD-59424 | biostudies-arrayexpress
Project description:We designed oligonucleotide tiling arrays spanning the t(4;14) breakpoint region on chromosome 4 to identify additional oncogenic RNAs in an unbiased fashion.
2012-07-02 | GSE36685 | GEO
Project description:Multiple Myeloma (MM) is the second most prevalent blood cancer (10%) after non-Hodgkin's lymphoma and represents approximately 1% of all cancers and 2% of all cancer deaths. MM is a complex disease characterized by numerous genetic alterations and recent mRNA profiling studies have attempted to subclassify the disease to build pathogenetic and prognostic models Correct classification of cancer patients into subtypes is a prerequisite for acute diagnosis and effective treatment. Here we use high accuracy, quantitative proteomics to segregate cancer subtypes directly at the level of expressed proteins. Multiple myeloma is a heterogeneous disease in its initial clinical features as well as its outcome. We investigated two subtypes of Multiple Myeloma: multiple myeloma associated with t(4;14) chromosomal translocation as well as t(4;14)-negative MM subtype. The t(4;14) translocation, found in 15% of multiple myeloma cases, indicates a poor prognosis. Super-SILAC mix was combined of cell lysates from 8 diverse cell lines labelled with heavy amino acids (Lys8 and Arg10). The Super-SILAC library is mixed with samples (lysates), and quantitative mass spectrometric analysis is performed using a setup consisting of LC and on a linear ion trap Orbitrap mass spectrometer with high mass accuracy at the MS and MS/MS levels. This way we have analysed 20 patient samples from present MM. Shotgun proteomic analysis yielded a proteome of more than 5300 quantified proteins overall (3000 on an average per individual sample). High accuracy of quantification allowed robust separation of subtypes by hierarchical clustering on the protein level.
2024-07-15 | PXD003138 | Pride
Project description:The MMSET (Multiple Myeloma SET domain) protein is overexpressed in multiple myeloma patients with the translocation t(4;14). Although studies have shown the involvement of MMSET/WHSC1 in development, its mode of action in the pathogenesis of multiple myeloma (MM) is largely unknown. We found that MMSET is a major regulator of chromatin structure and transcription in t(4;14) MM cells. High levels of MMSET correlate with an increase in lysine 36 methylation of histone H3 and a decrease in lysine 27 methylation across the genome, leading to a more open structural state of the chromatin. Loss of MMSET expression alters adhesion properties, suppresses growth and induces apoptosis in MM cells. Consequently, genes affected by high levels of MMSET are implicated in the p53 pathway, cell cycle regulation and integrin signaling. Regulation of many of these genes required functional histone methyl-transferase (HMT) activity of MMSET. These results implicate MMSET as a major epigenetic regulator in t(4;14)+ MM.
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Project description:We performed gene expression profiling to understand the mechansims of cytotoxic effects of an MMSET inhibitor on t(4;14)-positive multiple myeloma cells.
2024-03-01 | GSE248896 | GEO