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The IL6Myc mouse is an immunocompetent model for the development of aggressive multiple myeloma (MM) [tumor RNA-seq]

ABSTRACT: The IL6Myc mouse is an immunocompetent model for the development of aggressive multiple myeloma (MM) [tumor RNA-seq]

PROVIDER: PRJNA911728 | ENA |

REPOSITORIES: ENA

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The IL6Myc mouse is an immunocompetent model for the development of aggressive multiple myeloma (MM) [WES]

Project description:Multiple Myeloma (MM) is a neoplasm of plasma cells originating in the bone marrow and is the second most common blood cancer in the United States. One challenge in understanding the pathogenesis of Multiple Myeloma (MM) and improving treatment is a lack of immunocompetent mouse models. We previously developed the IL6Myc mouse that generates plasmacytomas at 100% frequency that phenotypically resemble aggressive MM. Using comprehensive genomic analysis, we found that the RNA expression patterns between tumors were somewhat heterogenous, but nonetheless resembled MMSET (multiple myeloma SET domain), an aggressive form of human myeloma with poor prognosis. Cell lines derived from the mouse tumors expressed cell-surface markers typical of MM, but also expressed BAFF-R, which is infrequently found in human MM. The cell lines also had heterogeneous responses to chemotherapeutic drugs typically used to treat human MM. Interestingly IL6Myc tumors accumulated variants in genes like those seen in human MM, as well as recurrent Ig translocations, a common characteristic of human MM. These data indicate that the IL6Myc model is a useful model for aggressive MM that can be used to develop treatment and understand how early myc expression influences disease etiology.

2023-12-06 | GSE220827 | GEO

The IL6Myc mouse is an immunocompetent model for the development of aggressive multiple myeloma (MM) [tumor RNA-seq]

2023-12-06 | GSE220825 | GEO

The IL6Myc mouse is an immunocompetent model for the development of aggressive multiple myeloma (MM) [cell line RNA-seq]

2023-12-06 | GSE220823 | GEO

The IL6Myc mouse is an immunocompetent model for the development of aggressive multiple myeloma (MM)

Project description:The IL6Myc mouse is an immunocompetent model for the development of aggressive multiple myeloma (MM)

| PRJNA911669 | ENA

The IL6Myc mouse is an immunocompetent model for the development of aggressive multiple myeloma (MM) [WES]

Project description:The IL6Myc mouse is an immunocompetent model for the development of aggressive multiple myeloma (MM) [WES]

| PRJNA911731 | ENA

The IL6Myc mouse is an immunocompetent model for the development of aggressive multiple myeloma (MM) [cell line RNA-seq]

Project description:The IL6Myc mouse is an immunocompetent model for the development of aggressive multiple myeloma (MM) [cell line RNA-seq]

| PRJNA911729 | ENA

Expression data of newly diagnosed multiple myeloma and extramedullary myeloma

Project description:Despite the development of novel therapeutic agents, multiple myeloma (MM) remains incurable, owing mainly to inevitable relapse in almost all patients. Some relapses occur as extramedullary disease (EMD), which is rare but is the most aggressive event in MM patients. Extramedullary myeloma (EMM) has extraordinary heterogeneous biological and clinical features. Previous studies have shown that expression levels of LncRNAs and mRNAs in different stages of MM are different. This study analyzes the expression levels of LncRNAs and mRNAs in primary plasma cells (PCs) from MM and EMM patients.

2023-03-01 | GSE147841 | GEO

MAQC-II Project: Multiple myeloma (MM) data set

Project description:The multiple myeloma (MM) data set (endpoints F, G, H, and I) was contributed by the Myeloma Institute for Research and Therapy at the University of Arkansas for Medical Sciences (UAMS, Little Rock, AR, USA). Gene expression profiling of highly purified bone marrow plasma cells was performed in newly diagnosed patients with MM. The training set consisted of 340 cases enrolled on total therapy 2 (TT2) and the validation set comprised 214 patients enrolled in total therapy 3 (TT3). Plasma cells were enriched by anti-CD138 immunomagnetic bead selection of mononuclear cell fractions of bone marrow aspirates in a central laboratory. All samples applied to the microarray contained more than 85% plasma cells as determined by 2-color flow cytometry (CD38+ and CD45-/dim) performed after selection. Dichotomized overall survival (OS) and eventfree survival (EFS) were determined based on a two-year milestone cutoff. A gene expression model of high-risk multiple myeloma was developed and validated by the data provider and later on validated in three additional independent data sets.

2010-09-11 | GSE24080 | GEO

A single-cell atlas of the mouse Multiple Myeloma immune microenvironment during tumor progression

Project description:Here, we mapped the immune compartment in the bone marrow and spleen of the immunocompetent 5T33MM Multiple Myeloma mouse model, using scRNA-seq analysis. This revealed distinct cell types as well as their dynamics in both naive mice and at various disease stages of MM, illustrating the evolving immune landscape during MM progression.

2024-11-14 | GSE271306 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomes in Wild Type or BMI1-KO Macrophages (MΦs) and Multiple Myeloma-Associated Macrophages (MM-MΦs)

Project description:Multiple myeloma (MM) is an aggressive malignancy characterized by terminally differentiated plasma cells accumulation in the bone marrow (BM). MM BM exhibits elevated MΦs (macrophages) numbers relative to healthy BM. Here, we found that BMI1 modulates the pro-myeloma functions of MM-MΦs. We generated MΦs and MM-MΦs in vitro from wild type and BMI1-KO mice bone marrow. Total RNA was extracted using TRI reagent (MRC, Cat No.TR 118,USA) from flow sorted CD11b+ F4/80+ cells from murine BM-derived MΦs and MM-MΦs. Libraries were prepared using the VAHTSTM total RNA-seq library prep Kit for IIumina (Vazyme, Cat No. NR603, China). RNA-seq was performed by GENEWIZ (Suzhou, China) on an Illumina Hiseq platform.

2021-06-10 | GSE176463 | GEO

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