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Isolate highly purified human CD138+ (syndecan-1) cells from fresh or previously frozen human bone marrow or peripheral blood mononuclear cell (MNC) samples by immunomagnetic positive selection, with the EasySep? Human CD138 Positive Selection Kit II. Widely used in published research for more than 20 years, EasySep? combines the specificity of monoclonal antibodies with the simplicity of a column-free magnetic system.
In this EasySep? positive selection procedure, desired cells are labeled with antibody complexes recognizing CD138 and magnetic particles. The cocktail in this kit also contains an antibody to human Fc receptor to prevent non-specific binding. Labeled cells are separated using an EasySep? magnet and by simply pouring or pipetting off the unwanted cells. The cells of interest remain in the tube. Following magnetic cell isolation, the desired CD138+ cells are ready for downstream applications such as flow cytometry, culture, or DNA/RNA extraction. The CD138 antigen is expressed on normal and malignant plasma cells (but not mature B cells).
This product replaces the EasySep? Human CD138 Positive Selection Kit (Catalog #18357) for even faster cell isolations.
Take our free On-Demand CD138+ Cell Isolation Course to learn how to process bone marrow samples and isolate CD138+ plasma cells to increase sensitivity in FISH testing for multiple myeloma. You can also browse our Frequently Asked Questions (FAQs) about isolating CD138+ plasma cells to improve FISH sensitivity.
Learn more about how immunomagnetic EasySep? technology works or how to fully automate immunomagnetic cell isolation with RoboSep?. Explore additional products optimized for your workflow, including culture media, supplements, antibodies, and more.
Figure 1. Typical EasySep? Human CD138 Positive Selection Profile
Starting with thawed PBMCs spiked with a multiple myeloma cell line, U266, the CD138+ cell content of the isolated fraction typically ranges from 93.0 - 98.2%. In the above example, the purities of the start and final isolated fractions are 9.16% and 94.34%, respectively.
This product is designed for use in the following research area(s) as part
of the highlighted workflow stage(s). Explore these workflows to learn more about the other products we
offer to support each research area.
Comprehensive Characterization of the Multiple Myeloma Immune Microenvironment Using Integrated scRNA-seq, CyTOF, and CITE-seq Analysis.
L. Yao et al.
Cancer research communications 2022 oct
Abstract
UNLABELLED As part of the Multiple Myeloma Research Foundation (MMRF) immune atlas pilot project, we compared immune cells of multiple myeloma bone marrow samples from 18 patients assessed by single-cell RNA sequencing (scRNA-seq), mass cytometry (CyTOF), and cellular indexing of transcriptomes and epitopes by sequencing (CITE-seq) to understand the concordance of measurements among single-cell techniques. Cell type abundances are relatively consistent across the three approaches, while variations are observed in T cells, macrophages, and monocytes. Concordance and correlation analysis of cell type marker gene expression across different modalities highlighted the importance of choosing cell type marker genes best suited to particular modalities. By integrating data from these three assays, we found International Staging System stage 3 patients exhibited decreased CD4+ T/CD8+ T cells ratio. Moreover, we observed upregulation of RAC2 and PSMB9, in natural killer cells of fast progressors compared with those of nonprogressors, as revealed by both scRNA-seq and CITE-seq RNA measurement. This detailed examination of the immune microenvironment in multiple myeloma using multiple single-cell technologies revealed markers associated with multiple myeloma rapid progression which will be further characterized by the full-scale immune atlas project. SIGNIFICANCE scRNA-seq, CyTOF, and CITE-seq are increasingly used for evaluating cellular heterogeneity. Understanding their concordances is of great interest. To date, this study is the most comprehensive examination of the measurement of the immune microenvironment in multiple myeloma using the three techniques. Moreover, we identified markers predicted to be significantly associated with multiple myeloma rapid progression.
Targeting arginase-1 exerts antitumor effects in multiple myeloma and mitigates bortezomib-induced cardiotoxicity.
K. Ramji et al.
Scientific reports 2022 nov
Abstract
Multiple myeloma (MM) remains an incurable malignancy of plasma cells despite constantly evolving therapeutic approaches including various types of immunotherapy. Increased arginase activity has been associated with potent suppression of T-cell immune responses in different types of cancer. Here, we investigated the role of arginase 1 (ARG1) in V$\kappa$*MYC model of MM in mice. ARG1 expression in myeloid cells correlated with tumor progression and was accompanied by a systemic drop in EY-arginine levels. In MM-bearing mice antigen-induced proliferation of adoptively transferred T-cells was strongly suppressed and T-cell proliferation was restored by pharmacological arginase inhibition. Progression of V$\kappa$*MYC tumors was significantly delayed in mice with myeloid-specific ARG1 deletion. Arginase inhibition effectively inhibited tumor progression although it failed to augment anti-myeloma effects of bortezomib. However, arginase inhibitor completely prevented development of bortezomib-induced cardiotoxicity in mice. Altogether, these findings indicate that arginase inhibitors could be further tested as a complementary strategy in multiple myeloma to mitigate adverse cardiac events without compromising antitumor efficacy of proteasome inhibitors.
The surfaceome of multiple myeloma cells suggests potential immunotherapeutic strategies and protein markers of drug resistance.
I. D. Ferguson et al.
Nature communications 2022 jul
Abstract
The myeloma surface proteome (surfaceome) determines tumor interaction with the microenvironment and serves as an emerging arena for therapeutic development. Here, we use glycoprotein capture proteomics to define the myeloma surfaceome at baseline, in drug resistance, and in response to acute drug treatment. We provide a scoring system for surface antigens and identify CCR10 as a promising target in this disease expressed widely on malignant plasma cells. We engineer proof-of-principle chimeric antigen receptor (CAR) T-cells targeting CCR10 using its natural ligand CCL27. In myeloma models we identify proteins that could serve as markers of resistance to bortezomib and lenalidomide, including CD53, CD10, EVI2B, and CD33. We find that acute lenalidomide treatment increases activity of MUC1-targeting CAR-T cells through antigen upregulation. Finally, we develop a miniaturized surface proteomic protocol for profiling primary plasma cell samples with low inputs. These approaches and datasets may contribute to the biological, therapeutic, and diagnostic understanding of myeloma.
New look, same high quality and support! You may notice that your instrument or reagent packaging looks slightly different from images displayed on the website, or from previous orders. We are updating our look but rest assured, the products themselves and how you should use them have not changed. Learn more
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