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99
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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MedChemExpress stable recombinant 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.
Stable Recombinant Cell Lines, supplied by MedChemExpress, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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stable recombinant cell lines - by Bioz Stars, 2026-05
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99
ATCC stable 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.
Stable Cell Lines, 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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95
ATCC stable df 1 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.
Stable Df 1 Cell Lines, supplied by ATCC, used in various techniques. Bioz Stars score: 95/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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99
ATCC cell lines hela cells atcc ccl 2 cos7 cells atcc n a hek293ft cells atcc n a ss rfp gfp kdel hela stable cells
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 Lines Hela Cells Atcc Ccl 2 Cos7 Cells Atcc N A Hek293ft Cells Atcc N A Ss Rfp Gfp Kdel Hela Stable Cells, 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/result/cell lines hela cells atcc ccl 2 cos7 cells atcc n a hek293ft cells atcc n a ss rfp gfp kdel hela stable cells/product/ATCC
Average 99 stars, based on 1 article reviews
cell lines hela cells atcc ccl 2 cos7 cells atcc n a hek293ft cells atcc n a ss rfp gfp kdel hela stable cells - by Bioz Stars, 2026-05
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97
MedChemExpress stable 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.
Stable Cell Lines, supplied by MedChemExpress, used in various techniques. Bioz Stars score: 97/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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ATCC stable hela cell lines
(A) Coomassie blue stained SDS-PAGE gel from pull down assay with <t>purified</t> <t>RhoG</t> WT and RhoG G12E proteins in controlled GDP or GTP-bound states. The GTP-loaded forms of both proteins interact strongly with GST-ELMO1 coated beads. The results were reproduced in three independent experiments. (B) GST-ELMO1 mediated pull-down of active RhoG in <t>HeLa</t> parental, RhoG WT , and RhoG G12E expressing cells. Lanes: GDP-treated negative control (1–3), GTP-treated positive control (4–6), and cell extract only (7– 9). (C) Input control showing total RhoG expression levels in crude lysates of parental, RhoG WT , and RhoG G12E cells, with GAPDH loading control.
Stable Hela Cell Lines, 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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96
Addgene inc stable cell lines expressing spcas9
(A) Coomassie blue stained SDS-PAGE gel from pull down assay with <t>purified</t> <t>RhoG</t> WT and RhoG G12E proteins in controlled GDP or GTP-bound states. The GTP-loaded forms of both proteins interact strongly with GST-ELMO1 coated beads. The results were reproduced in three independent experiments. (B) GST-ELMO1 mediated pull-down of active RhoG in <t>HeLa</t> parental, RhoG WT , and RhoG G12E expressing cells. Lanes: GDP-treated negative control (1–3), GTP-treated positive control (4–6), and cell extract only (7– 9). (C) Input control showing total RhoG expression levels in crude lysates of parental, RhoG WT , and RhoG G12E cells, with GAPDH loading control.
Stable Cell Lines Expressing Spcas9, supplied by Addgene inc, used in various techniques. Bioz Stars score: 96/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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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

(A) Coomassie blue stained SDS-PAGE gel from pull down assay with purified RhoG WT and RhoG G12E proteins in controlled GDP or GTP-bound states. The GTP-loaded forms of both proteins interact strongly with GST-ELMO1 coated beads. The results were reproduced in three independent experiments. (B) GST-ELMO1 mediated pull-down of active RhoG in HeLa parental, RhoG WT , and RhoG G12E expressing cells. Lanes: GDP-treated negative control (1–3), GTP-treated positive control (4–6), and cell extract only (7– 9). (C) Input control showing total RhoG expression levels in crude lysates of parental, RhoG WT , and RhoG G12E cells, with GAPDH loading control.

Journal: bioRxiv

Article Title: Persistence without turnover: RhoG G12E mutant highlights the role of nucleotide cycling in RhoG signaling

doi: 10.64898/2026.03.25.713116

Figure Lengend Snippet: (A) Coomassie blue stained SDS-PAGE gel from pull down assay with purified RhoG WT and RhoG G12E proteins in controlled GDP or GTP-bound states. The GTP-loaded forms of both proteins interact strongly with GST-ELMO1 coated beads. The results were reproduced in three independent experiments. (B) GST-ELMO1 mediated pull-down of active RhoG in HeLa parental, RhoG WT , and RhoG G12E expressing cells. Lanes: GDP-treated negative control (1–3), GTP-treated positive control (4–6), and cell extract only (7– 9). (C) Input control showing total RhoG expression levels in crude lysates of parental, RhoG WT , and RhoG G12E cells, with GAPDH loading control.

Article Snippet: HeLa (ATCC # CRM-CCL2) cells, stable HeLa cell lines expressing exogenous RhoG WT or RhoG G12E variants and 293T cells (ATCC# CRL-3216) were cultured in Dulbecco’s modified Eagle medium (DMEM) (Gibco, 31966-021) supplemented with 10% (v/v) FBS (Eurobio Scientific, CVFSVF00-01) and 1% (v/v) penicillin/streptomycin at 37°C in a humidified incubator with 5% CO2.

Techniques: Staining, SDS Page, Pull Down Assay, Purification, Expressing, Negative Control, Positive Control, Control

(A) Scanning electron microscopy of HeLa cells expressing RhoG WT (a) or RhoG G12E (b). Confocal images of phalloidin-stained (red) F-actin and DAPI-stained (blue) nuclei in RhoG WT (c) or RhoG G12E (d) cells. Scale bars, 20 µm. (B) Cell spread area (µm 2 ) quantified from phalloidin-stained boundaries using Fiji (n = 30 cells per condition from 3 independent experiments). Data are mean ± s.e.m. Dots represent individual cells. ****P < 0.0001 (Statistical significance was determine by Mann-Whitney test).

Journal: bioRxiv

Article Title: Persistence without turnover: RhoG G12E mutant highlights the role of nucleotide cycling in RhoG signaling

doi: 10.64898/2026.03.25.713116

Figure Lengend Snippet: (A) Scanning electron microscopy of HeLa cells expressing RhoG WT (a) or RhoG G12E (b). Confocal images of phalloidin-stained (red) F-actin and DAPI-stained (blue) nuclei in RhoG WT (c) or RhoG G12E (d) cells. Scale bars, 20 µm. (B) Cell spread area (µm 2 ) quantified from phalloidin-stained boundaries using Fiji (n = 30 cells per condition from 3 independent experiments). Data are mean ± s.e.m. Dots represent individual cells. ****P < 0.0001 (Statistical significance was determine by Mann-Whitney test).

Article Snippet: HeLa (ATCC # CRM-CCL2) cells, stable HeLa cell lines expressing exogenous RhoG WT or RhoG G12E variants and 293T cells (ATCC# CRL-3216) were cultured in Dulbecco’s modified Eagle medium (DMEM) (Gibco, 31966-021) supplemented with 10% (v/v) FBS (Eurobio Scientific, CVFSVF00-01) and 1% (v/v) penicillin/streptomycin at 37°C in a humidified incubator with 5% CO2.

Techniques: Electron Microscopy, Expressing, Staining, MANN-WHITNEY

(A) Incucyte images of scratch-wound closure by HeLa RhoG WT or RhoG G12E cells at 0 h and 24 h. (B) Trajectories of leading-edge cells over 24 h determined from centroid movement. (C) Migration distance (µm) toward the wound (n = 30 cells per condition from 3 independent experiments). Data are mean ± s.e.m. Dots represent individual cells. ****P < 0.0001 (Statistical significance was determine by Mann-Whitney test).

Journal: bioRxiv

Article Title: Persistence without turnover: RhoG G12E mutant highlights the role of nucleotide cycling in RhoG signaling

doi: 10.64898/2026.03.25.713116

Figure Lengend Snippet: (A) Incucyte images of scratch-wound closure by HeLa RhoG WT or RhoG G12E cells at 0 h and 24 h. (B) Trajectories of leading-edge cells over 24 h determined from centroid movement. (C) Migration distance (µm) toward the wound (n = 30 cells per condition from 3 independent experiments). Data are mean ± s.e.m. Dots represent individual cells. ****P < 0.0001 (Statistical significance was determine by Mann-Whitney test).

Article Snippet: HeLa (ATCC # CRM-CCL2) cells, stable HeLa cell lines expressing exogenous RhoG WT or RhoG G12E variants and 293T cells (ATCC# CRL-3216) were cultured in Dulbecco’s modified Eagle medium (DMEM) (Gibco, 31966-021) supplemented with 10% (v/v) FBS (Eurobio Scientific, CVFSVF00-01) and 1% (v/v) penicillin/streptomycin at 37°C in a humidified incubator with 5% CO2.

Techniques: Migration, MANN-WHITNEY