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u937 cells  (ATCC)


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    ATCC u937 cells
    U937 Cells, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 7280 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/u937 cells/product/ATCC
    Average 99 stars, based on 7280 article reviews
    u937 cells - by Bioz Stars, 2026-03
    99/100 stars

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    ( A ) Bacterial immunopeptidomics workflow scheme. Differentiated <t>U937</t> cells infected with bacteria and uninfected counterparts are subjected to the immunopeptidomics workflow. This enables the detection of bacterial epitopes among numerous host self-peptides. After purification and LC-MS/MS of immunopeptides, data was filtered to retain only high-confidence bacterial immunopeptides. Figure created with BioRender.com. ( B, D ) Histogram showing the length distribution of peptides identified after MHC class I pull down. Peptides predicted to bind to U937 MHC-I alleles by NetMHCpan-4.1 (%Rank < 2) are indicated in red. ( C, E ) The number of unique immunopeptides identified per Listeria protein ( C ) or Mycobacterium bovis BCG protein ( E ) is shown in a histogram. Immunopeptides predicted as MHC class I binders by NetMHCpan-4.1 (%Rank < 2) are indicated in green, other peptides in grey. ( C ) The number of identified peptides per cell line in our previous Listeria study is displayed in a heatmap. ( E ) BCG proteins identified in previous immunopeptidomics studies ( , , , ) are indicated by an asterisk (*).
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    ( A ) Bacterial immunopeptidomics workflow scheme. Differentiated <t>U937</t> cells infected with bacteria and uninfected counterparts are subjected to the immunopeptidomics workflow. This enables the detection of bacterial epitopes among numerous host self-peptides. After purification and LC-MS/MS of immunopeptides, data was filtered to retain only high-confidence bacterial immunopeptides. Figure created with BioRender.com. ( B, D ) Histogram showing the length distribution of peptides identified after MHC class I pull down. Peptides predicted to bind to U937 MHC-I alleles by NetMHCpan-4.1 (%Rank < 2) are indicated in red. ( C, E ) The number of unique immunopeptides identified per Listeria protein ( C ) or Mycobacterium bovis BCG protein ( E ) is shown in a histogram. Immunopeptides predicted as MHC class I binders by NetMHCpan-4.1 (%Rank < 2) are indicated in green, other peptides in grey. ( C ) The number of identified peptides per cell line in our previous Listeria study is displayed in a heatmap. ( E ) BCG proteins identified in previous immunopeptidomics studies ( , , , ) are indicated by an asterisk (*).
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    ( A ) Bacterial immunopeptidomics workflow scheme. Differentiated U937 cells infected with bacteria and uninfected counterparts are subjected to the immunopeptidomics workflow. This enables the detection of bacterial epitopes among numerous host self-peptides. After purification and LC-MS/MS of immunopeptides, data was filtered to retain only high-confidence bacterial immunopeptides. Figure created with BioRender.com. ( B, D ) Histogram showing the length distribution of peptides identified after MHC class I pull down. Peptides predicted to bind to U937 MHC-I alleles by NetMHCpan-4.1 (%Rank < 2) are indicated in red. ( C, E ) The number of unique immunopeptides identified per Listeria protein ( C ) or Mycobacterium bovis BCG protein ( E ) is shown in a histogram. Immunopeptides predicted as MHC class I binders by NetMHCpan-4.1 (%Rank < 2) are indicated in green, other peptides in grey. ( C ) The number of identified peptides per cell line in our previous Listeria study is displayed in a heatmap. ( E ) BCG proteins identified in previous immunopeptidomics studies ( , , , ) are indicated by an asterisk (*).

    Journal: bioRxiv

    Article Title: A platform for high-throughput and ultrasensitive immunopeptidomics

    doi: 10.64898/2026.02.23.707388

    Figure Lengend Snippet: ( A ) Bacterial immunopeptidomics workflow scheme. Differentiated U937 cells infected with bacteria and uninfected counterparts are subjected to the immunopeptidomics workflow. This enables the detection of bacterial epitopes among numerous host self-peptides. After purification and LC-MS/MS of immunopeptides, data was filtered to retain only high-confidence bacterial immunopeptides. Figure created with BioRender.com. ( B, D ) Histogram showing the length distribution of peptides identified after MHC class I pull down. Peptides predicted to bind to U937 MHC-I alleles by NetMHCpan-4.1 (%Rank < 2) are indicated in red. ( C, E ) The number of unique immunopeptides identified per Listeria protein ( C ) or Mycobacterium bovis BCG protein ( E ) is shown in a histogram. Immunopeptides predicted as MHC class I binders by NetMHCpan-4.1 (%Rank < 2) are indicated in green, other peptides in grey. ( C ) The number of identified peptides per cell line in our previous Listeria study is displayed in a heatmap. ( E ) BCG proteins identified in previous immunopeptidomics studies ( , , , ) are indicated by an asterisk (*).

    Article Snippet: The Epstein–Barr virus (EBV)-immortalized human B cell line JY (ECACC 94022533), human HeLa cells (ECACC 93021013), and U937 (ATCC) cells were cultured at 37 °C in a humidified atmosphere at 10% CO 2 .

    Techniques: Immunopeptidomics, Infection, Bacteria, Purification, Liquid Chromatography with Mass Spectroscopy