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human tumor cell lines hl 60  (ATCC)


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    ATCC human tumor cell lines hl 60
    Human Tumor Cell Lines Hl 60, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 6449 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cell+lines+hl+60/pm42034196-89-0-13?v=ATCC
    Average 99 stars, based on 6449 article reviews
    human tumor cell lines hl 60 - by Bioz Stars, 2026-07
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    ATCC human tumor cell lines hl 60
    Human Tumor Cell Lines Hl 60, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ATCC neutrophil cell line hl 60
    Regulatory roles of Ena in ZNF460-GGT1 axis-mediated taurine metabolism (A) KEGG pathway analysis of taurine metabolism. (B) Heatmap of top 40 significant DEGs. (C) Predicted binding sites of ZNF460 in the promoter of GGT1 . (D) Combination of ZNF460 with the promoter sequences of GGT1 as validated by ChIP assay. n = 3 independent experiments. (E) Dual luciferase reporter gene assay was conducted to evaluate the inhibitory effects of Ena on the conjunction of ZNF460 with GGT1 promoter. n = 3 independent experiments. (F) Molecular docking analysis between Ena and ZNF460. (G) Results of cellular thermal shift assay as visualized by western blot. n = 3 independent experiments. (H) Results of drug affinity responsive target stability test as visualized by western blot. n = 3 independent experiments. (I) Results of pull-down assay as visualized by western blot. n = 3 independent experiments. (J) Immunofluorescence staining was employed to assess the nuclear translocation of ZNF460 <t>in</t> <t>HL-60</t> neutrophils with different treatments. Scale bar, 4 μm; n = 3 independent experiments. (K) Immunofluorescence staining was employed to assess the expression of GGT1 in HL-60 neutrophils with different treatments. Scale bar, 4 μm; n = 3 independent experiments. (L) After the cells underwent indicated treatments, GGT1 expression was detected. n = 3 independent experiments. (M) After the cells underwent indicated treatments, taurine content was detected. n = 3 independent experiments. (N) mRNA levels of cdo , csad , fmo1 , and baat as measured using RT-qPCR. n = 3 independent experiments. Data were shown as mean ± standard deviation (SD) from biological replicates, and statistical comparisons were performed using unpaired Student’s t test in (D, G, I, and N) and one-way ANOVA followed by Tukey’s multiple comparisons test in (D, E, H, and J–M). ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001.
    Neutrophil Cell Line Hl 60, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ATCC human promyelocytic leukemia cell line
    Regulatory roles of Ena in ZNF460-GGT1 axis-mediated taurine metabolism (A) KEGG pathway analysis of taurine metabolism. (B) Heatmap of top 40 significant DEGs. (C) Predicted binding sites of ZNF460 in the promoter of GGT1 . (D) Combination of ZNF460 with the promoter sequences of GGT1 as validated by ChIP assay. n = 3 independent experiments. (E) Dual luciferase reporter gene assay was conducted to evaluate the inhibitory effects of Ena on the conjunction of ZNF460 with GGT1 promoter. n = 3 independent experiments. (F) Molecular docking analysis between Ena and ZNF460. (G) Results of cellular thermal shift assay as visualized by western blot. n = 3 independent experiments. (H) Results of drug affinity responsive target stability test as visualized by western blot. n = 3 independent experiments. (I) Results of pull-down assay as visualized by western blot. n = 3 independent experiments. (J) Immunofluorescence staining was employed to assess the nuclear translocation of ZNF460 <t>in</t> <t>HL-60</t> neutrophils with different treatments. Scale bar, 4 μm; n = 3 independent experiments. (K) Immunofluorescence staining was employed to assess the expression of GGT1 in HL-60 neutrophils with different treatments. Scale bar, 4 μm; n = 3 independent experiments. (L) After the cells underwent indicated treatments, GGT1 expression was detected. n = 3 independent experiments. (M) After the cells underwent indicated treatments, taurine content was detected. n = 3 independent experiments. (N) mRNA levels of cdo , csad , fmo1 , and baat as measured using RT-qPCR. n = 3 independent experiments. Data were shown as mean ± standard deviation (SD) from biological replicates, and statistical comparisons were performed using unpaired Student’s t test in (D, G, I, and N) and one-way ANOVA followed by Tukey’s multiple comparisons test in (D, E, H, and J–M). ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001.
    Human Promyelocytic Leukemia Cell Line, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ATCC cell lines hl 60
    Regulatory roles of Ena in ZNF460-GGT1 axis-mediated taurine metabolism (A) KEGG pathway analysis of taurine metabolism. (B) Heatmap of top 40 significant DEGs. (C) Predicted binding sites of ZNF460 in the promoter of GGT1 . (D) Combination of ZNF460 with the promoter sequences of GGT1 as validated by ChIP assay. n = 3 independent experiments. (E) Dual luciferase reporter gene assay was conducted to evaluate the inhibitory effects of Ena on the conjunction of ZNF460 with GGT1 promoter. n = 3 independent experiments. (F) Molecular docking analysis between Ena and ZNF460. (G) Results of cellular thermal shift assay as visualized by western blot. n = 3 independent experiments. (H) Results of drug affinity responsive target stability test as visualized by western blot. n = 3 independent experiments. (I) Results of pull-down assay as visualized by western blot. n = 3 independent experiments. (J) Immunofluorescence staining was employed to assess the nuclear translocation of ZNF460 <t>in</t> <t>HL-60</t> neutrophils with different treatments. Scale bar, 4 μm; n = 3 independent experiments. (K) Immunofluorescence staining was employed to assess the expression of GGT1 in HL-60 neutrophils with different treatments. Scale bar, 4 μm; n = 3 independent experiments. (L) After the cells underwent indicated treatments, GGT1 expression was detected. n = 3 independent experiments. (M) After the cells underwent indicated treatments, taurine content was detected. n = 3 independent experiments. (N) mRNA levels of cdo , csad , fmo1 , and baat as measured using RT-qPCR. n = 3 independent experiments. Data were shown as mean ± standard deviation (SD) from biological replicates, and statistical comparisons were performed using unpaired Student’s t test in (D, G, I, and N) and one-way ANOVA followed by Tukey’s multiple comparisons test in (D, E, H, and J–M). ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001.
    Cell Lines Hl 60, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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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 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ATCC 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.
    Cell Line, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/cell+lines+hl+60/pm41975422-116-11-14?v=ATCC
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    ATCC promyelocytic leukemia cell line hl 60
    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.
    Promyelocytic Leukemia Cell Line Hl 60, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ATCC hl60 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.
    Hl60 Cell Line, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ATCC human acute myeloid leukemia cell lines
    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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    Regulatory roles of Ena in ZNF460-GGT1 axis-mediated taurine metabolism (A) KEGG pathway analysis of taurine metabolism. (B) Heatmap of top 40 significant DEGs. (C) Predicted binding sites of ZNF460 in the promoter of GGT1 . (D) Combination of ZNF460 with the promoter sequences of GGT1 as validated by ChIP assay. n = 3 independent experiments. (E) Dual luciferase reporter gene assay was conducted to evaluate the inhibitory effects of Ena on the conjunction of ZNF460 with GGT1 promoter. n = 3 independent experiments. (F) Molecular docking analysis between Ena and ZNF460. (G) Results of cellular thermal shift assay as visualized by western blot. n = 3 independent experiments. (H) Results of drug affinity responsive target stability test as visualized by western blot. n = 3 independent experiments. (I) Results of pull-down assay as visualized by western blot. n = 3 independent experiments. (J) Immunofluorescence staining was employed to assess the nuclear translocation of ZNF460 in HL-60 neutrophils with different treatments. Scale bar, 4 μm; n = 3 independent experiments. (K) Immunofluorescence staining was employed to assess the expression of GGT1 in HL-60 neutrophils with different treatments. Scale bar, 4 μm; n = 3 independent experiments. (L) After the cells underwent indicated treatments, GGT1 expression was detected. n = 3 independent experiments. (M) After the cells underwent indicated treatments, taurine content was detected. n = 3 independent experiments. (N) mRNA levels of cdo , csad , fmo1 , and baat as measured using RT-qPCR. n = 3 independent experiments. Data were shown as mean ± standard deviation (SD) from biological replicates, and statistical comparisons were performed using unpaired Student’s t test in (D, G, I, and N) and one-way ANOVA followed by Tukey’s multiple comparisons test in (D, E, H, and J–M). ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001.

    Journal: Cell Reports Medicine

    Article Title: Enalaprilat reverses neutrophil polarization imbalance via targeting taurine-STING axis for treatment of diabetic wounds

    doi: 10.1016/j.xcrm.2026.102714

    Figure Lengend Snippet: Regulatory roles of Ena in ZNF460-GGT1 axis-mediated taurine metabolism (A) KEGG pathway analysis of taurine metabolism. (B) Heatmap of top 40 significant DEGs. (C) Predicted binding sites of ZNF460 in the promoter of GGT1 . (D) Combination of ZNF460 with the promoter sequences of GGT1 as validated by ChIP assay. n = 3 independent experiments. (E) Dual luciferase reporter gene assay was conducted to evaluate the inhibitory effects of Ena on the conjunction of ZNF460 with GGT1 promoter. n = 3 independent experiments. (F) Molecular docking analysis between Ena and ZNF460. (G) Results of cellular thermal shift assay as visualized by western blot. n = 3 independent experiments. (H) Results of drug affinity responsive target stability test as visualized by western blot. n = 3 independent experiments. (I) Results of pull-down assay as visualized by western blot. n = 3 independent experiments. (J) Immunofluorescence staining was employed to assess the nuclear translocation of ZNF460 in HL-60 neutrophils with different treatments. Scale bar, 4 μm; n = 3 independent experiments. (K) Immunofluorescence staining was employed to assess the expression of GGT1 in HL-60 neutrophils with different treatments. Scale bar, 4 μm; n = 3 independent experiments. (L) After the cells underwent indicated treatments, GGT1 expression was detected. n = 3 independent experiments. (M) After the cells underwent indicated treatments, taurine content was detected. n = 3 independent experiments. (N) mRNA levels of cdo , csad , fmo1 , and baat as measured using RT-qPCR. n = 3 independent experiments. Data were shown as mean ± standard deviation (SD) from biological replicates, and statistical comparisons were performed using unpaired Student’s t test in (D, G, I, and N) and one-way ANOVA followed by Tukey’s multiple comparisons test in (D, E, H, and J–M). ∗ p < 0.05, ∗∗ p < 0.01, ∗∗∗ p < 0.001, ∗∗∗∗ p < 0.0001.

    Article Snippet: Neutrophil cell line (HL-60) and human umbilical vein endothelial cell (HUVEC) were gained from the American Type Culture Collection (ATCC) and grown at 37°C with 5% CO 2 .

    Techniques: Binding Assay, Luciferase, Reporter Gene Assay, Thermal Shift Assay, Western Blot, Pull Down Assay, Immunofluorescence, Staining, Translocation Assay, Expressing, Quantitative RT-PCR, Standard Deviation

    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