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stable aml cell line  (ATCC)


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    ATCC stable aml cell line
    Systematic ranking of antigens based on expression on <t>AML</t> blasts and non-hematopoietic tissue (A) Antigen intensity threshold for killing by surface targeting modalities. Left: Percent live cells of MOLM13 clones, indicated by their CD33 expression intensities, upon exposure to increasing concentrations of GO. Data are represented as mean ± SD, n = 4. Right: % dead cells following the incubation of MOLM13 clones with CD33-targeting CD33-bbz or <t>CD33-28z</t> <t>CAR-T</t> effector cells for 48 h. Data are represented as mean ± SD, n = 3. Dotted line indicates background target cell viability in the absence of effector cells. ∗∗∗ANOVA p < 0.001. (B) Heatmaps show estimated antigen count for the top 25 most highly expressed across 5,000 blast cells randomly sampled from diagnosis (left) and relapse (right) AML samples. Each column corresponds to an individual blast. Top annotation bar indicates the patient of origin. Higher antigen density for a specific antigen in a single blast is denoted by red shading. ∗Antibodies directed against CD13, CD45, CD47, CD99, and HLA-DR were found to be undersaturated (refer to “ ” in ). (C) Heatmaps showing gene expression of CD33, CLL-1, LAIR1, DEC-205, ITGA4, CD244, ADGRE2, and HER2 in non-hematopoietic cell types using single-cell RNA-seq data downloaded from Tabula Sapiens and GTEx databases. Columns are categorized based on cell types, and the top annotation bar indicates the tissue of origin of the cells. High and low relative expression are indicated by yellow and blue, respectively. Abbreviations: ANOVA, analysis of variance; GO, gene ontology; SD, standard deviation.
    Stable Aml Cell Line, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 6441 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/stable+aml+cell+line/pmc13059331-447-12-16?v=ATCC
    Average 99 stars, based on 6441 article reviews
    stable aml cell line - by Bioz Stars, 2026-07
    99/100 stars

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    1) Product Images from "A multimodal atlas for immunotherapeutic targeting of AML surface heterogeneity"

    Article Title: A multimodal atlas for immunotherapeutic targeting of AML surface heterogeneity

    Journal: iScience

    doi: 10.1016/j.isci.2026.115337

    Systematic ranking of antigens based on expression on AML blasts and non-hematopoietic tissue (A) Antigen intensity threshold for killing by surface targeting modalities. Left: Percent live cells of MOLM13 clones, indicated by their CD33 expression intensities, upon exposure to increasing concentrations of GO. Data are represented as mean ± SD, n = 4. Right: % dead cells following the incubation of MOLM13 clones with CD33-targeting CD33-bbz or CD33-28z CAR-T effector cells for 48 h. Data are represented as mean ± SD, n = 3. Dotted line indicates background target cell viability in the absence of effector cells. ∗∗∗ANOVA p < 0.001. (B) Heatmaps show estimated antigen count for the top 25 most highly expressed across 5,000 blast cells randomly sampled from diagnosis (left) and relapse (right) AML samples. Each column corresponds to an individual blast. Top annotation bar indicates the patient of origin. Higher antigen density for a specific antigen in a single blast is denoted by red shading. ∗Antibodies directed against CD13, CD45, CD47, CD99, and HLA-DR were found to be undersaturated (refer to “ ” in ). (C) Heatmaps showing gene expression of CD33, CLL-1, LAIR1, DEC-205, ITGA4, CD244, ADGRE2, and HER2 in non-hematopoietic cell types using single-cell RNA-seq data downloaded from Tabula Sapiens and GTEx databases. Columns are categorized based on cell types, and the top annotation bar indicates the tissue of origin of the cells. High and low relative expression are indicated by yellow and blue, respectively. Abbreviations: ANOVA, analysis of variance; GO, gene ontology; SD, standard deviation.
    Figure Legend Snippet: Systematic ranking of antigens based on expression on AML blasts and non-hematopoietic tissue (A) Antigen intensity threshold for killing by surface targeting modalities. Left: Percent live cells of MOLM13 clones, indicated by their CD33 expression intensities, upon exposure to increasing concentrations of GO. Data are represented as mean ± SD, n = 4. Right: % dead cells following the incubation of MOLM13 clones with CD33-targeting CD33-bbz or CD33-28z CAR-T effector cells for 48 h. Data are represented as mean ± SD, n = 3. Dotted line indicates background target cell viability in the absence of effector cells. ∗∗∗ANOVA p < 0.001. (B) Heatmaps show estimated antigen count for the top 25 most highly expressed across 5,000 blast cells randomly sampled from diagnosis (left) and relapse (right) AML samples. Each column corresponds to an individual blast. Top annotation bar indicates the patient of origin. Higher antigen density for a specific antigen in a single blast is denoted by red shading. ∗Antibodies directed against CD13, CD45, CD47, CD99, and HLA-DR were found to be undersaturated (refer to “ ” in ). (C) Heatmaps showing gene expression of CD33, CLL-1, LAIR1, DEC-205, ITGA4, CD244, ADGRE2, and HER2 in non-hematopoietic cell types using single-cell RNA-seq data downloaded from Tabula Sapiens and GTEx databases. Columns are categorized based on cell types, and the top annotation bar indicates the tissue of origin of the cells. High and low relative expression are indicated by yellow and blue, respectively. Abbreviations: ANOVA, analysis of variance; GO, gene ontology; SD, standard deviation.

    Techniques Used: Expressing, Clone Assay, Incubation, Biomarker Discovery, Gene Expression, Single Cell, RNA Sequencing, Standard Deviation



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    Systematic ranking of antigens based on expression on <t>AML</t> blasts and non-hematopoietic tissue (A) Antigen intensity threshold for killing by surface targeting modalities. Left: Percent live cells of MOLM13 clones, indicated by their CD33 expression intensities, upon exposure to increasing concentrations of GO. Data are represented as mean ± SD, n = 4. Right: % dead cells following the incubation of MOLM13 clones with CD33-targeting CD33-bbz or <t>CD33-28z</t> <t>CAR-T</t> effector cells for 48 h. Data are represented as mean ± SD, n = 3. Dotted line indicates background target cell viability in the absence of effector cells. ∗∗∗ANOVA p < 0.001. (B) Heatmaps show estimated antigen count for the top 25 most highly expressed across 5,000 blast cells randomly sampled from diagnosis (left) and relapse (right) AML samples. Each column corresponds to an individual blast. Top annotation bar indicates the patient of origin. Higher antigen density for a specific antigen in a single blast is denoted by red shading. ∗Antibodies directed against CD13, CD45, CD47, CD99, and HLA-DR were found to be undersaturated (refer to “ ” in ). (C) Heatmaps showing gene expression of CD33, CLL-1, LAIR1, DEC-205, ITGA4, CD244, ADGRE2, and HER2 in non-hematopoietic cell types using single-cell RNA-seq data downloaded from Tabula Sapiens and GTEx databases. Columns are categorized based on cell types, and the top annotation bar indicates the tissue of origin of the cells. High and low relative expression are indicated by yellow and blue, respectively. Abbreviations: ANOVA, analysis of variance; GO, gene ontology; SD, standard deviation.
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    Systematic ranking of antigens based on expression on <t>AML</t> blasts and non-hematopoietic tissue (A) Antigen intensity threshold for killing by surface targeting modalities. Left: Percent live cells of MOLM13 clones, indicated by their CD33 expression intensities, upon exposure to increasing concentrations of GO. Data are represented as mean ± SD, n = 4. Right: % dead cells following the incubation of MOLM13 clones with CD33-targeting CD33-bbz or <t>CD33-28z</t> <t>CAR-T</t> effector cells for 48 h. Data are represented as mean ± SD, n = 3. Dotted line indicates background target cell viability in the absence of effector cells. ∗∗∗ANOVA p < 0.001. (B) Heatmaps show estimated antigen count for the top 25 most highly expressed across 5,000 blast cells randomly sampled from diagnosis (left) and relapse (right) AML samples. Each column corresponds to an individual blast. Top annotation bar indicates the patient of origin. Higher antigen density for a specific antigen in a single blast is denoted by red shading. ∗Antibodies directed against CD13, CD45, CD47, CD99, and HLA-DR were found to be undersaturated (refer to “ ” in ). (C) Heatmaps showing gene expression of CD33, CLL-1, LAIR1, DEC-205, ITGA4, CD244, ADGRE2, and HER2 in non-hematopoietic cell types using single-cell RNA-seq data downloaded from Tabula Sapiens and GTEx databases. Columns are categorized based on cell types, and the top annotation bar indicates the tissue of origin of the cells. High and low relative expression are indicated by yellow and blue, respectively. Abbreviations: ANOVA, analysis of variance; GO, gene ontology; SD, standard deviation.
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    Image Search Results


    Systematic ranking of antigens based on expression on AML blasts and non-hematopoietic tissue (A) Antigen intensity threshold for killing by surface targeting modalities. Left: Percent live cells of MOLM13 clones, indicated by their CD33 expression intensities, upon exposure to increasing concentrations of GO. Data are represented as mean ± SD, n = 4. Right: % dead cells following the incubation of MOLM13 clones with CD33-targeting CD33-bbz or CD33-28z CAR-T effector cells for 48 h. Data are represented as mean ± SD, n = 3. Dotted line indicates background target cell viability in the absence of effector cells. ∗∗∗ANOVA p < 0.001. (B) Heatmaps show estimated antigen count for the top 25 most highly expressed across 5,000 blast cells randomly sampled from diagnosis (left) and relapse (right) AML samples. Each column corresponds to an individual blast. Top annotation bar indicates the patient of origin. Higher antigen density for a specific antigen in a single blast is denoted by red shading. ∗Antibodies directed against CD13, CD45, CD47, CD99, and HLA-DR were found to be undersaturated (refer to “ ” in ). (C) Heatmaps showing gene expression of CD33, CLL-1, LAIR1, DEC-205, ITGA4, CD244, ADGRE2, and HER2 in non-hematopoietic cell types using single-cell RNA-seq data downloaded from Tabula Sapiens and GTEx databases. Columns are categorized based on cell types, and the top annotation bar indicates the tissue of origin of the cells. High and low relative expression are indicated by yellow and blue, respectively. Abbreviations: ANOVA, analysis of variance; GO, gene ontology; SD, standard deviation.

    Journal: iScience

    Article Title: A multimodal atlas for immunotherapeutic targeting of AML surface heterogeneity

    doi: 10.1016/j.isci.2026.115337

    Figure Lengend Snippet: Systematic ranking of antigens based on expression on AML blasts and non-hematopoietic tissue (A) Antigen intensity threshold for killing by surface targeting modalities. Left: Percent live cells of MOLM13 clones, indicated by their CD33 expression intensities, upon exposure to increasing concentrations of GO. Data are represented as mean ± SD, n = 4. Right: % dead cells following the incubation of MOLM13 clones with CD33-targeting CD33-bbz or CD33-28z CAR-T effector cells for 48 h. Data are represented as mean ± SD, n = 3. Dotted line indicates background target cell viability in the absence of effector cells. ∗∗∗ANOVA p < 0.001. (B) Heatmaps show estimated antigen count for the top 25 most highly expressed across 5,000 blast cells randomly sampled from diagnosis (left) and relapse (right) AML samples. Each column corresponds to an individual blast. Top annotation bar indicates the patient of origin. Higher antigen density for a specific antigen in a single blast is denoted by red shading. ∗Antibodies directed against CD13, CD45, CD47, CD99, and HLA-DR were found to be undersaturated (refer to “ ” in ). (C) Heatmaps showing gene expression of CD33, CLL-1, LAIR1, DEC-205, ITGA4, CD244, ADGRE2, and HER2 in non-hematopoietic cell types using single-cell RNA-seq data downloaded from Tabula Sapiens and GTEx databases. Columns are categorized based on cell types, and the top annotation bar indicates the tissue of origin of the cells. High and low relative expression are indicated by yellow and blue, respectively. Abbreviations: ANOVA, analysis of variance; GO, gene ontology; SD, standard deviation.

    Article Snippet: Co-culture experiments of HDR CAR-T and MOLM13 clones and CAR-T and HL-60 (stable AML cell line, ATCC) target cells were conducted to investigate antigen-specific cytolysis at 1:1 E:T ratio.

    Techniques: Expressing, Clone Assay, Incubation, Biomarker Discovery, Gene Expression, Single Cell, RNA Sequencing, Standard Deviation