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magnetic beads easyseptm mouse cd138 positive selection kit  (STEMCELL Technologies Inc)

 
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    STEMCELL Technologies Inc magnetic beads easyseptm mouse cd138 positive selection kit
    Magnetic Beads Easyseptm Mouse Cd138 Positive Selection Kit, supplied by STEMCELL Technologies Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/magnetic beads easyseptm mouse cd138 positive selection kit/product/STEMCELL Technologies Inc
    Average 90 stars, based on 1 article reviews
    magnetic beads easyseptm mouse cd138 positive selection kit - by Bioz Stars, 2026-05
    90/100 stars

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    STEMCELL Technologies Inc magnetic beads easyseptm mouse cd138 positive selection kit
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    STEMCELL Technologies Inc easyseptm human cd138 positive selection kit ii
    Inter-patient heterogeneity (A) UMAPs representing scRNA-seq data from enriched PCs from all patients with color codes representing unique samples (left), mPC and pPC populations (middle), and mPCs and pPCs by diagnosis (right). (B) Number of genes detected as dysregulated with a log2 FC of ≥ 0.5 or ≤ −0.5 when the analysis was conducted using all <t>CD138</t> + PCs, or CD138 + mPCs from each sample identified by scBCR-seq, using “ FindAllMarkers ” in Seurat. Horizontal lines indicate little to no difference in the number of DEGs, while upward lines indicate more DEGs found when the analysis focused only on the mPCs. ∗ indicates p ≤ 0.05; ∗∗ p ≤ 0.01; ∗∗∗ p ≤ 0.001; ∗∗∗∗ p ≤ 0.0001; and n.s. non-significant differences, as determined by the Wilcoxon test. (C) UMAP based on the single-cell transcriptome of a downsampled Seurat object with a color code of CytoTRACE score (left), and a superplot of the mean CytoTRACE score per sample group by diagnosis (right). Statistical testing was performed as in (B). (D) Boxplot of normalized UMIs detected in each sample, color coded by diagnosis, including myeloma-related markers, and commonly up- and down-regulated markers. (E) Heatmap of the fraction of PCs with myeloma IGH translocations detected by FISH (top), and boxplots of normalized UMIs of associated oncogene expression levels (next three rows). (F) Circos plots of three t(11;14) + myelomas evaluated by Lumpy using WGS data from germline and tumor-matched samples. (G) Heatmap of the fraction of cells with inferred large chromosomal gains (red) or losses (blue) in each PC population organized by diagnosis. Total number of PCs isolated and the fraction of mPCs in each sample are represented at the top. These plots include a dataset of pPC samples ( n = 4), and mPCs from patients with MGUS ( n = 11), SMM ( n = 22), NDMM ( n = 17), RRMM ( n = 15), and PCL ( n = 2).
    Easyseptm Human Cd138 Positive Selection Kit Ii, supplied by STEMCELL Technologies Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    STEMCELL Technologies Inc bone marrow cd138 positive selection kit ii stemcell easyseptm
    Inter-patient heterogeneity (A) UMAPs representing scRNA-seq data from enriched PCs from all patients with color codes representing unique samples (left), mPC and pPC populations (middle), and mPCs and pPCs by diagnosis (right). (B) Number of genes detected as dysregulated with a log2 FC of ≥ 0.5 or ≤ −0.5 when the analysis was conducted using all <t>CD138</t> + PCs, or CD138 + mPCs from each sample identified by scBCR-seq, using “ FindAllMarkers ” in Seurat. Horizontal lines indicate little to no difference in the number of DEGs, while upward lines indicate more DEGs found when the analysis focused only on the mPCs. ∗ indicates p ≤ 0.05; ∗∗ p ≤ 0.01; ∗∗∗ p ≤ 0.001; ∗∗∗∗ p ≤ 0.0001; and n.s. non-significant differences, as determined by the Wilcoxon test. (C) UMAP based on the single-cell transcriptome of a downsampled Seurat object with a color code of CytoTRACE score (left), and a superplot of the mean CytoTRACE score per sample group by diagnosis (right). Statistical testing was performed as in (B). (D) Boxplot of normalized UMIs detected in each sample, color coded by diagnosis, including myeloma-related markers, and commonly up- and down-regulated markers. (E) Heatmap of the fraction of PCs with myeloma IGH translocations detected by FISH (top), and boxplots of normalized UMIs of associated oncogene expression levels (next three rows). (F) Circos plots of three t(11;14) + myelomas evaluated by Lumpy using WGS data from germline and tumor-matched samples. (G) Heatmap of the fraction of cells with inferred large chromosomal gains (red) or losses (blue) in each PC population organized by diagnosis. Total number of PCs isolated and the fraction of mPCs in each sample are represented at the top. These plots include a dataset of pPC samples ( n = 4), and mPCs from patients with MGUS ( n = 11), SMM ( n = 22), NDMM ( n = 17), RRMM ( n = 15), and PCL ( n = 2).
    Bone Marrow Cd138 Positive Selection Kit Ii Stemcell Easyseptm, supplied by STEMCELL Technologies Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    STEMCELL Technologies Inc easyseptm human whole blood and bone marrow cd138 positive selection kit ii
    Inter-patient heterogeneity (A) UMAPs representing scRNA-seq data from enriched PCs from all patients with color codes representing unique samples (left), mPC and pPC populations (middle), and mPCs and pPCs by diagnosis (right). (B) Number of genes detected as dysregulated with a log2 FC of ≥ 0.5 or ≤ −0.5 when the analysis was conducted using all <t>CD138</t> + PCs, or CD138 + mPCs from each sample identified by scBCR-seq, using “ FindAllMarkers ” in Seurat. Horizontal lines indicate little to no difference in the number of DEGs, while upward lines indicate more DEGs found when the analysis focused only on the mPCs. ∗ indicates p ≤ 0.05; ∗∗ p ≤ 0.01; ∗∗∗ p ≤ 0.001; ∗∗∗∗ p ≤ 0.0001; and n.s. non-significant differences, as determined by the Wilcoxon test. (C) UMAP based on the single-cell transcriptome of a downsampled Seurat object with a color code of CytoTRACE score (left), and a superplot of the mean CytoTRACE score per sample group by diagnosis (right). Statistical testing was performed as in (B). (D) Boxplot of normalized UMIs detected in each sample, color coded by diagnosis, including myeloma-related markers, and commonly up- and down-regulated markers. (E) Heatmap of the fraction of PCs with myeloma IGH translocations detected by FISH (top), and boxplots of normalized UMIs of associated oncogene expression levels (next three rows). (F) Circos plots of three t(11;14) + myelomas evaluated by Lumpy using WGS data from germline and tumor-matched samples. (G) Heatmap of the fraction of cells with inferred large chromosomal gains (red) or losses (blue) in each PC population organized by diagnosis. Total number of PCs isolated and the fraction of mPCs in each sample are represented at the top. These plots include a dataset of pPC samples ( n = 4), and mPCs from patients with MGUS ( n = 11), SMM ( n = 22), NDMM ( n = 17), RRMM ( n = 15), and PCL ( n = 2).
    Easyseptm Human Whole Blood And Bone Marrow Cd138 Positive Selection Kit Ii, supplied by STEMCELL Technologies Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    STEMCELL Technologies Inc cd138magnetic bead-based cell separation kit easyseptm human cd138 positive selection kit ii
    Inter-patient heterogeneity (A) UMAPs representing scRNA-seq data from enriched PCs from all patients with color codes representing unique samples (left), mPC and pPC populations (middle), and mPCs and pPCs by diagnosis (right). (B) Number of genes detected as dysregulated with a log2 FC of ≥ 0.5 or ≤ −0.5 when the analysis was conducted using all <t>CD138</t> + PCs, or CD138 + mPCs from each sample identified by scBCR-seq, using “ FindAllMarkers ” in Seurat. Horizontal lines indicate little to no difference in the number of DEGs, while upward lines indicate more DEGs found when the analysis focused only on the mPCs. ∗ indicates p ≤ 0.05; ∗∗ p ≤ 0.01; ∗∗∗ p ≤ 0.001; ∗∗∗∗ p ≤ 0.0001; and n.s. non-significant differences, as determined by the Wilcoxon test. (C) UMAP based on the single-cell transcriptome of a downsampled Seurat object with a color code of CytoTRACE score (left), and a superplot of the mean CytoTRACE score per sample group by diagnosis (right). Statistical testing was performed as in (B). (D) Boxplot of normalized UMIs detected in each sample, color coded by diagnosis, including myeloma-related markers, and commonly up- and down-regulated markers. (E) Heatmap of the fraction of PCs with myeloma IGH translocations detected by FISH (top), and boxplots of normalized UMIs of associated oncogene expression levels (next three rows). (F) Circos plots of three t(11;14) + myelomas evaluated by Lumpy using WGS data from germline and tumor-matched samples. (G) Heatmap of the fraction of cells with inferred large chromosomal gains (red) or losses (blue) in each PC population organized by diagnosis. Total number of PCs isolated and the fraction of mPCs in each sample are represented at the top. These plots include a dataset of pPC samples ( n = 4), and mPCs from patients with MGUS ( n = 11), SMM ( n = 22), NDMM ( n = 17), RRMM ( n = 15), and PCL ( n = 2).
    Cd138magnetic Bead Based Cell Separation Kit Easyseptm Human Cd138 Positive Selection Kit Ii, supplied by STEMCELL Technologies Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Image Search Results


    Inter-patient heterogeneity (A) UMAPs representing scRNA-seq data from enriched PCs from all patients with color codes representing unique samples (left), mPC and pPC populations (middle), and mPCs and pPCs by diagnosis (right). (B) Number of genes detected as dysregulated with a log2 FC of ≥ 0.5 or ≤ −0.5 when the analysis was conducted using all CD138 + PCs, or CD138 + mPCs from each sample identified by scBCR-seq, using “ FindAllMarkers ” in Seurat. Horizontal lines indicate little to no difference in the number of DEGs, while upward lines indicate more DEGs found when the analysis focused only on the mPCs. ∗ indicates p ≤ 0.05; ∗∗ p ≤ 0.01; ∗∗∗ p ≤ 0.001; ∗∗∗∗ p ≤ 0.0001; and n.s. non-significant differences, as determined by the Wilcoxon test. (C) UMAP based on the single-cell transcriptome of a downsampled Seurat object with a color code of CytoTRACE score (left), and a superplot of the mean CytoTRACE score per sample group by diagnosis (right). Statistical testing was performed as in (B). (D) Boxplot of normalized UMIs detected in each sample, color coded by diagnosis, including myeloma-related markers, and commonly up- and down-regulated markers. (E) Heatmap of the fraction of PCs with myeloma IGH translocations detected by FISH (top), and boxplots of normalized UMIs of associated oncogene expression levels (next three rows). (F) Circos plots of three t(11;14) + myelomas evaluated by Lumpy using WGS data from germline and tumor-matched samples. (G) Heatmap of the fraction of cells with inferred large chromosomal gains (red) or losses (blue) in each PC population organized by diagnosis. Total number of PCs isolated and the fraction of mPCs in each sample are represented at the top. These plots include a dataset of pPC samples ( n = 4), and mPCs from patients with MGUS ( n = 11), SMM ( n = 22), NDMM ( n = 17), RRMM ( n = 15), and PCL ( n = 2).

    Journal: Cell Reports Medicine

    Article Title: Single-cell analysis of neoplastic plasma cells identifies myeloma pathobiology mediators and potential targets

    doi: 10.1016/j.xcrm.2024.101925

    Figure Lengend Snippet: Inter-patient heterogeneity (A) UMAPs representing scRNA-seq data from enriched PCs from all patients with color codes representing unique samples (left), mPC and pPC populations (middle), and mPCs and pPCs by diagnosis (right). (B) Number of genes detected as dysregulated with a log2 FC of ≥ 0.5 or ≤ −0.5 when the analysis was conducted using all CD138 + PCs, or CD138 + mPCs from each sample identified by scBCR-seq, using “ FindAllMarkers ” in Seurat. Horizontal lines indicate little to no difference in the number of DEGs, while upward lines indicate more DEGs found when the analysis focused only on the mPCs. ∗ indicates p ≤ 0.05; ∗∗ p ≤ 0.01; ∗∗∗ p ≤ 0.001; ∗∗∗∗ p ≤ 0.0001; and n.s. non-significant differences, as determined by the Wilcoxon test. (C) UMAP based on the single-cell transcriptome of a downsampled Seurat object with a color code of CytoTRACE score (left), and a superplot of the mean CytoTRACE score per sample group by diagnosis (right). Statistical testing was performed as in (B). (D) Boxplot of normalized UMIs detected in each sample, color coded by diagnosis, including myeloma-related markers, and commonly up- and down-regulated markers. (E) Heatmap of the fraction of PCs with myeloma IGH translocations detected by FISH (top), and boxplots of normalized UMIs of associated oncogene expression levels (next three rows). (F) Circos plots of three t(11;14) + myelomas evaluated by Lumpy using WGS data from germline and tumor-matched samples. (G) Heatmap of the fraction of cells with inferred large chromosomal gains (red) or losses (blue) in each PC population organized by diagnosis. Total number of PCs isolated and the fraction of mPCs in each sample are represented at the top. These plots include a dataset of pPC samples ( n = 4), and mPCs from patients with MGUS ( n = 11), SMM ( n = 22), NDMM ( n = 17), RRMM ( n = 15), and PCL ( n = 2).

    Article Snippet: EasySepTM Human CD138 Positive Selection Kit II , StemCell Technologies , 17877.

    Techniques: Biomarker Discovery, Expressing, Isolation

    Journal: Cell Reports Medicine

    Article Title: Single-cell analysis of neoplastic plasma cells identifies myeloma pathobiology mediators and potential targets

    doi: 10.1016/j.xcrm.2024.101925

    Figure Lengend Snippet:

    Article Snippet: EasySepTM Human CD138 Positive Selection Kit II , StemCell Technologies , 17877.

    Techniques: Recombinant, Selection, Cell Isolation, Proliferation Assay, Staining, Enzyme-linked Immunosorbent Assay, Detection Assay, Reporter Assay, RNA Sequencing, Transgenic Assay, Software