Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomes in Wild Type or BMI1-KO Macrophages (MΦs) and Multiple Myeloma-Associated Macrophages (MM-MΦs)
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ABSTRACT:
PROVIDER: PRJNA736339 | ENA |
REPOSITORIES: ENA
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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.
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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.
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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.
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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.
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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.
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Project description:Multiple myeloma (MM) is a plasma cell malignancy characterized by the presence of multiple foci in the skeleton. These distinct tumor foci indicate cycles of tumor growth and dissemination that seed new clusters and drives disease progression. Utilizing an intra-tibial Vk*MYC murine myeloma, we found that CD169 + radiation-resistant, tissue-resident macrophages (MPs) were critical for myeloma early dissemination and disease progression. While depletion of these MPs had no effect on tumor proliferation, it reduced myeloma BM egress and spreading to other bones, which improved overall survival as a single therapy and in combination with BM transplantation. Myeloma dissemination correlated with an increased inflammatory signature in BM MPs, as well as production of IL-6 and TNFα by tumor-associated MPs (TAMs). Exogenous i.v. IL-6 and TNFa could trigger myeloma intravasation in the BM by increasing vascular leakiness in the BM, and by enhancing myeloma motility by reducing CD138 adhesion. Moreover, mice lacking IL-6 had defects in myeloma dissemination as in MP-depleted recipients. While in TNFa or TNFaR deficient mice had defects in MM dissemination, engraftment was also impaired. These effects on myeloma dissemination required production of cytokines in the radiation-resistant compartment, containing these radiation-resistant BM MPs. Taken together, we propose BM egress of myeloma cells is regulated by localized inflammation in foci, driven in part by CD169 + MPs.
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Project description:Multiple myeloma (MM), also known as plasma cell myeloma, is a cancer of plasma cells, a type of white blood cell normally responsible for producing antibodies. There is no cure for MM. In addition, the mechanism underlying abnormal production of plasma cells is not clear. In this experiment, peripheral blood was obtained from normal healthy donors and multiple myeloma (MM) patients. Peripheral blood mononuclear cells (PBMC) were separated by Ficoll separation solution. Samples of four donors were pooled and Samples of four MM patients were pooled. The aim was to characterize the mRNA profile of MM patients compared to healthy donors and find the new target of diagnosis or treatment for MM.
2020-08-14 | E-MTAB-7146 | biostudies-arrayexpress