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cell culture ramos  (ATCC)


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    ATCC cell culture ramos
    Cell Culture Ramos, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 1859 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    ATCC cell culture human lymphocyte cell lines
    GenieScore components and application to two proteomic analyses of four <t>lymphocyte</t> lines. (A) The features of a protein that were hypothesized to predominate the capacity of a protein to serve as a cell surface marker are shown with the names of the mathematical terms derived to represent them. The marker potential features are annotated by the applied approach (i.e. predictive or experimental) to answer the relevant questions. The remaining panels depict the distribution of the individual components and GenieScores calculated from the data acquired from application of whole-cell lysate (WCL) or Cell Surface Capture (CSC) to four lymphocyte cell lines (n = 3 per cell line, N = 485 data points for WCL, N = 325 data points for CSC). (B) A histogram depicting the distribution of SPC scores within predicted surface proteins (SPC score >0) identified by application of WCL and CSC. (C) A violin plot depicting the distribution of signal dispersion for the predicted surface proteins identified by WCL and CSC. (D) A violin plot depicting the distribution of signal strength for the predicted surface proteins identified by WCL and CSC. (E) Plot of GenieScore against rank-order of candidate cell surface markers for predicted surface proteins identified by WCL. (F) Plot of GenieScore against rank-order of candidate cell surface markers for predicted surface proteins identified by CSC. (G) GenieScores calculated using either WCL or CSC data are plotted against each other the 91 proteins identified by both approaches along with the Spearman’s Correlation for those scores
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    ATCC ramos b cell culture ramos b cells
    GenieScore components and application to two proteomic analyses of four <t>lymphocyte</t> lines. (A) The features of a protein that were hypothesized to predominate the capacity of a protein to serve as a cell surface marker are shown with the names of the mathematical terms derived to represent them. The marker potential features are annotated by the applied approach (i.e. predictive or experimental) to answer the relevant questions. The remaining panels depict the distribution of the individual components and GenieScores calculated from the data acquired from application of whole-cell lysate (WCL) or Cell Surface Capture (CSC) to four lymphocyte cell lines (n = 3 per cell line, N = 485 data points for WCL, N = 325 data points for CSC). (B) A histogram depicting the distribution of SPC scores within predicted surface proteins (SPC score >0) identified by application of WCL and CSC. (C) A violin plot depicting the distribution of signal dispersion for the predicted surface proteins identified by WCL and CSC. (D) A violin plot depicting the distribution of signal strength for the predicted surface proteins identified by WCL and CSC. (E) Plot of GenieScore against rank-order of candidate cell surface markers for predicted surface proteins identified by WCL. (F) Plot of GenieScore against rank-order of candidate cell surface markers for predicted surface proteins identified by CSC. (G) GenieScores calculated using either WCL or CSC data are plotted against each other the 91 proteins identified by both approaches along with the Spearman’s Correlation for those scores
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    ATCC cell culture conditions hela
    GenieScore components and application to two proteomic analyses of four <t>lymphocyte</t> lines. (A) The features of a protein that were hypothesized to predominate the capacity of a protein to serve as a cell surface marker are shown with the names of the mathematical terms derived to represent them. The marker potential features are annotated by the applied approach (i.e. predictive or experimental) to answer the relevant questions. The remaining panels depict the distribution of the individual components and GenieScores calculated from the data acquired from application of whole-cell lysate (WCL) or Cell Surface Capture (CSC) to four lymphocyte cell lines (n = 3 per cell line, N = 485 data points for WCL, N = 325 data points for CSC). (B) A histogram depicting the distribution of SPC scores within predicted surface proteins (SPC score >0) identified by application of WCL and CSC. (C) A violin plot depicting the distribution of signal dispersion for the predicted surface proteins identified by WCL and CSC. (D) A violin plot depicting the distribution of signal strength for the predicted surface proteins identified by WCL and CSC. (E) Plot of GenieScore against rank-order of candidate cell surface markers for predicted surface proteins identified by WCL. (F) Plot of GenieScore against rank-order of candidate cell surface markers for predicted surface proteins identified by CSC. (G) GenieScores calculated using either WCL or CSC data are plotted against each other the 91 proteins identified by both approaches along with the Spearman’s Correlation for those scores
    Cell Culture Conditions Hela, 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 culture human b lymphocyte cell lines ramos
    In vitro analysis of CD38 expression and binding ability of daratumumab to lymphoma cells. (a) Western blot analysis showed CD38 expression was highest for <t>Ramos</t> cells and lowest expression for HBL-1 cells among five B-cell lymphoma cell lines. (b) Flow cytometry verified the differential expression of CD38 in Ramos and HBL-1 cell lines and displayed similar binding ability of Df-conjugated daratumumab. (c) Cellular binding assay showed 89Zr-Df-daratumumab bound specifically to Ramos cells, with a Ka value of 1.29 ± 0.39 nM.
    Cell Culture Human B Lymphocyte Cell Lines Ramos, 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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    Image Search Results


    GenieScore components and application to two proteomic analyses of four lymphocyte lines. (A) The features of a protein that were hypothesized to predominate the capacity of a protein to serve as a cell surface marker are shown with the names of the mathematical terms derived to represent them. The marker potential features are annotated by the applied approach (i.e. predictive or experimental) to answer the relevant questions. The remaining panels depict the distribution of the individual components and GenieScores calculated from the data acquired from application of whole-cell lysate (WCL) or Cell Surface Capture (CSC) to four lymphocyte cell lines (n = 3 per cell line, N = 485 data points for WCL, N = 325 data points for CSC). (B) A histogram depicting the distribution of SPC scores within predicted surface proteins (SPC score >0) identified by application of WCL and CSC. (C) A violin plot depicting the distribution of signal dispersion for the predicted surface proteins identified by WCL and CSC. (D) A violin plot depicting the distribution of signal strength for the predicted surface proteins identified by WCL and CSC. (E) Plot of GenieScore against rank-order of candidate cell surface markers for predicted surface proteins identified by WCL. (F) Plot of GenieScore against rank-order of candidate cell surface markers for predicted surface proteins identified by CSC. (G) GenieScores calculated using either WCL or CSC data are plotted against each other the 91 proteins identified by both approaches along with the Spearman’s Correlation for those scores

    Journal: Bioinformatics

    Article Title: SurfaceGenie: a web-based application for prioritizing cell-type-specific marker candidates

    doi: 10.1093/bioinformatics/btaa092

    Figure Lengend Snippet: GenieScore components and application to two proteomic analyses of four lymphocyte lines. (A) The features of a protein that were hypothesized to predominate the capacity of a protein to serve as a cell surface marker are shown with the names of the mathematical terms derived to represent them. The marker potential features are annotated by the applied approach (i.e. predictive or experimental) to answer the relevant questions. The remaining panels depict the distribution of the individual components and GenieScores calculated from the data acquired from application of whole-cell lysate (WCL) or Cell Surface Capture (CSC) to four lymphocyte cell lines (n = 3 per cell line, N = 485 data points for WCL, N = 325 data points for CSC). (B) A histogram depicting the distribution of SPC scores within predicted surface proteins (SPC score >0) identified by application of WCL and CSC. (C) A violin plot depicting the distribution of signal dispersion for the predicted surface proteins identified by WCL and CSC. (D) A violin plot depicting the distribution of signal strength for the predicted surface proteins identified by WCL and CSC. (E) Plot of GenieScore against rank-order of candidate cell surface markers for predicted surface proteins identified by WCL. (F) Plot of GenieScore against rank-order of candidate cell surface markers for predicted surface proteins identified by CSC. (G) GenieScores calculated using either WCL or CSC data are plotted against each other the 91 proteins identified by both approaches along with the Spearman’s Correlation for those scores

    Article Snippet: 2.1 Cell culture Human lymphocyte cell lines (Ramos, HG-3, RCH-ACV, Jurkat) were cultured and passaged as described previously ( Haverland et al. , 2017 ). α-TC1 clone 6 (CRL-2934; ATCC, Manassas, VA) and β-TC-6 (CRL-11506; ATCC) cells were maintained at 37 ̊C and 5% CO 2 , cultured in Dulbecco’s modified Eagle’s medium supplemented with 10% heat-inactivated fetal bovine serum containing 16.6 or 5.5 mM glucose, respectively.

    Techniques: Marker, Derivative Assay, Dispersion

    Distributions of observed abundance for selected proteins in the lymphocyte data with a range of GenieScores. The number of peptide-spectrum matches (PSMs) assigned to selected proteins for both Cell Surface Capture (CSC) and whole-cell lysate (WCL) experiments. Biological replicates (n = 3) are shown as data points and averages are shown as columns. The ranks assigned to each protein, according to the set of calculated GenieScores, are shown for both CSC and WCL datasets

    Journal: Bioinformatics

    Article Title: SurfaceGenie: a web-based application for prioritizing cell-type-specific marker candidates

    doi: 10.1093/bioinformatics/btaa092

    Figure Lengend Snippet: Distributions of observed abundance for selected proteins in the lymphocyte data with a range of GenieScores. The number of peptide-spectrum matches (PSMs) assigned to selected proteins for both Cell Surface Capture (CSC) and whole-cell lysate (WCL) experiments. Biological replicates (n = 3) are shown as data points and averages are shown as columns. The ranks assigned to each protein, according to the set of calculated GenieScores, are shown for both CSC and WCL datasets

    Article Snippet: 2.1 Cell culture Human lymphocyte cell lines (Ramos, HG-3, RCH-ACV, Jurkat) were cultured and passaged as described previously ( Haverland et al. , 2017 ). α-TC1 clone 6 (CRL-2934; ATCC, Manassas, VA) and β-TC-6 (CRL-11506; ATCC) cells were maintained at 37 ̊C and 5% CO 2 , cultured in Dulbecco’s modified Eagle’s medium supplemented with 10% heat-inactivated fetal bovine serum containing 16.6 or 5.5 mM glucose, respectively.

    Techniques:

    In vitro analysis of CD38 expression and binding ability of daratumumab to lymphoma cells. (a) Western blot analysis showed CD38 expression was highest for Ramos cells and lowest expression for HBL-1 cells among five B-cell lymphoma cell lines. (b) Flow cytometry verified the differential expression of CD38 in Ramos and HBL-1 cell lines and displayed similar binding ability of Df-conjugated daratumumab. (c) Cellular binding assay showed 89Zr-Df-daratumumab bound specifically to Ramos cells, with a Ka value of 1.29 ± 0.39 nM.

    Journal: European journal of nuclear medicine and molecular imaging

    Article Title: ImmunoPET imaging of CD38 in murine lymphoma models using 89 Zr-labeled daratumumab

    doi: 10.1007/s00259-018-3941-3

    Figure Lengend Snippet: In vitro analysis of CD38 expression and binding ability of daratumumab to lymphoma cells. (a) Western blot analysis showed CD38 expression was highest for Ramos cells and lowest expression for HBL-1 cells among five B-cell lymphoma cell lines. (b) Flow cytometry verified the differential expression of CD38 in Ramos and HBL-1 cell lines and displayed similar binding ability of Df-conjugated daratumumab. (c) Cellular binding assay showed 89Zr-Df-daratumumab bound specifically to Ramos cells, with a Ka value of 1.29 ± 0.39 nM.

    Article Snippet: Cell culture Human B lymphocyte cell lines Ramos, Daudi, Raji (Burkitt’s lymphoma), Rec-1 (Mantle cell lymphoma), and HBL-1 (Human diffuse large B-cell lymphoma) were purchased from American Type Culture Collection (ATCC, Manassas, VA, USA).

    Techniques: In Vitro, Expressing, Binding Assay, Western Blot, Flow Cytometry, Quantitative Proteomics, Cell Binding Assay

    PET maximum intensity projection (MIP) images of Ramos and HBL-1 lymphoma tumor bearing models from 6 to 120 h post-injection. Following injection of 89Zr-Df-daratumumab, Ramos tumors displayed higher uptake than HBL-1 tumors at all time points. After injection of a 89Zr-Df-IgG, Ramos tumors demonstrated significantly decreased uptake at the same time points. Tumors are indicated by dashed circles.

    Journal: European journal of nuclear medicine and molecular imaging

    Article Title: ImmunoPET imaging of CD38 in murine lymphoma models using 89 Zr-labeled daratumumab

    doi: 10.1007/s00259-018-3941-3

    Figure Lengend Snippet: PET maximum intensity projection (MIP) images of Ramos and HBL-1 lymphoma tumor bearing models from 6 to 120 h post-injection. Following injection of 89Zr-Df-daratumumab, Ramos tumors displayed higher uptake than HBL-1 tumors at all time points. After injection of a 89Zr-Df-IgG, Ramos tumors demonstrated significantly decreased uptake at the same time points. Tumors are indicated by dashed circles.

    Article Snippet: Cell culture Human B lymphocyte cell lines Ramos, Daudi, Raji (Burkitt’s lymphoma), Rec-1 (Mantle cell lymphoma), and HBL-1 (Human diffuse large B-cell lymphoma) were purchased from American Type Culture Collection (ATCC, Manassas, VA, USA).

    Techniques: Injection

    Quantitative results of PET imaging after injection of 89Zr-Df-daratumumab or 89Zr-Df-IgG in Ramos and HBL-1 lymphoma models. At all of the time points, Ramos tumors displayed significantly higher uptake than HBL-1 tumors and the nonspecific tracer (p < 0.05; n = 4). The uptake of 89Zr-Df-daratumumab in the heart blood pool, liver, and kidney showed no significant difference between Ramos and HBL-1 models.

    Journal: European journal of nuclear medicine and molecular imaging

    Article Title: ImmunoPET imaging of CD38 in murine lymphoma models using 89 Zr-labeled daratumumab

    doi: 10.1007/s00259-018-3941-3

    Figure Lengend Snippet: Quantitative results of PET imaging after injection of 89Zr-Df-daratumumab or 89Zr-Df-IgG in Ramos and HBL-1 lymphoma models. At all of the time points, Ramos tumors displayed significantly higher uptake than HBL-1 tumors and the nonspecific tracer (p < 0.05; n = 4). The uptake of 89Zr-Df-daratumumab in the heart blood pool, liver, and kidney showed no significant difference between Ramos and HBL-1 models.

    Article Snippet: Cell culture Human B lymphocyte cell lines Ramos, Daudi, Raji (Burkitt’s lymphoma), Rec-1 (Mantle cell lymphoma), and HBL-1 (Human diffuse large B-cell lymphoma) were purchased from American Type Culture Collection (ATCC, Manassas, VA, USA).

    Techniques: Imaging, Injection

    Biodistribution results at 120 h p.i. of 89Zr-Df-daratumumab or 89Zr-Df-IgG. Ramos tumors showed significantly higher uptake than HBL-1 tumors and nonspecific IgG group, which verified the results from PET imaging. Both radiolabeled daratumumab and IgG showed relatively high uptake in blood and blood-rich organs, such as lungs, spleen. **p < 0.01; n = 4.

    Journal: European journal of nuclear medicine and molecular imaging

    Article Title: ImmunoPET imaging of CD38 in murine lymphoma models using 89 Zr-labeled daratumumab

    doi: 10.1007/s00259-018-3941-3

    Figure Lengend Snippet: Biodistribution results at 120 h p.i. of 89Zr-Df-daratumumab or 89Zr-Df-IgG. Ramos tumors showed significantly higher uptake than HBL-1 tumors and nonspecific IgG group, which verified the results from PET imaging. Both radiolabeled daratumumab and IgG showed relatively high uptake in blood and blood-rich organs, such as lungs, spleen. **p < 0.01; n = 4.

    Article Snippet: Cell culture Human B lymphocyte cell lines Ramos, Daudi, Raji (Burkitt’s lymphoma), Rec-1 (Mantle cell lymphoma), and HBL-1 (Human diffuse large B-cell lymphoma) were purchased from American Type Culture Collection (ATCC, Manassas, VA, USA).

    Techniques: Imaging

    Immunofluorescence staining of tumor tissue sections. Ramos tumors displayed a higher level of green staining signals on the cell surface, verifying higher CD38 expression in Ramos tumors. Scale bar: 10 µm.

    Journal: European journal of nuclear medicine and molecular imaging

    Article Title: ImmunoPET imaging of CD38 in murine lymphoma models using 89 Zr-labeled daratumumab

    doi: 10.1007/s00259-018-3941-3

    Figure Lengend Snippet: Immunofluorescence staining of tumor tissue sections. Ramos tumors displayed a higher level of green staining signals on the cell surface, verifying higher CD38 expression in Ramos tumors. Scale bar: 10 µm.

    Article Snippet: Cell culture Human B lymphocyte cell lines Ramos, Daudi, Raji (Burkitt’s lymphoma), Rec-1 (Mantle cell lymphoma), and HBL-1 (Human diffuse large B-cell lymphoma) were purchased from American Type Culture Collection (ATCC, Manassas, VA, USA).

    Techniques: Immunofluorescence, Staining, Expressing