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mrc 5 cells  (ATCC)


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    Structured Review

    ATCC mrc 5 cells
    Identification of host factors involved in SARS-CoV-2 and HCoV-229E replication (A) Schematic overview of the siRNA screening. HEK293 A/T cells were seeded in 24-well plates and transfected twice with siRNAs targeting 91 host genes previously identified as being involved in influenza virus replication. Cells were then infected with SARS-CoV-2 (100 plaque-forming unit [PFU]/100 μL) one day after the second transfection. Supernatants were collected at 2 days post-infection (dpi) and titrated by plaque assay. (B) Results of the SARS-CoV-2 siRNA screen. The 91 host factors were divided into four batches, each including a non-targeting siRNA as a negative control (N) and siRNA targeting SARS-CoV-2 nsp12 as a positive control (P). Viral titers were calculated based on the difference between each siRNA and its corresponding negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± standard deviation (SD) of at least three independent experiments. (C) The seven host factors identified in the SARS-CoV-2 siRNA screen were further examined in HCoV-229E, along with the negative control siRNA (N) and positive control siRNA (P) targeting the HCoV-229E N gene. Following the same method described in <t>(A),</t> <t>MRC-5</t> cells were infected with HCoV-229E (50 tissue culture infectious dose (TCID 50 )/100 μL). Supernatants were collected at 3 dpi and titrated by TCID 50 assay. Viral titers were calculated based on the difference between each siRNA and the negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± SD of three independent experiments. (D) Cell viability was measured in duplicate wells across two independent experiments using CellTiter-Glo following siRNA transfection. See also and .
    Mrc 5 Cells, supplied by ATCC, used in various techniques. Bioz Stars score: 99/100, based on 5628 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
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    Images

    1) Product Images from "Broad-spectrum antiviral activity of antisense oligonucleotides targeting GBF1 against SARS-CoV-2 and influenza viruses"

    Article Title: Broad-spectrum antiviral activity of antisense oligonucleotides targeting GBF1 against SARS-CoV-2 and influenza viruses

    Journal: iScience

    doi: 10.1016/j.isci.2026.114851

    Identification of host factors involved in SARS-CoV-2 and HCoV-229E replication (A) Schematic overview of the siRNA screening. HEK293 A/T cells were seeded in 24-well plates and transfected twice with siRNAs targeting 91 host genes previously identified as being involved in influenza virus replication. Cells were then infected with SARS-CoV-2 (100 plaque-forming unit [PFU]/100 μL) one day after the second transfection. Supernatants were collected at 2 days post-infection (dpi) and titrated by plaque assay. (B) Results of the SARS-CoV-2 siRNA screen. The 91 host factors were divided into four batches, each including a non-targeting siRNA as a negative control (N) and siRNA targeting SARS-CoV-2 nsp12 as a positive control (P). Viral titers were calculated based on the difference between each siRNA and its corresponding negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± standard deviation (SD) of at least three independent experiments. (C) The seven host factors identified in the SARS-CoV-2 siRNA screen were further examined in HCoV-229E, along with the negative control siRNA (N) and positive control siRNA (P) targeting the HCoV-229E N gene. Following the same method described in (A), MRC-5 cells were infected with HCoV-229E (50 tissue culture infectious dose (TCID 50 )/100 μL). Supernatants were collected at 3 dpi and titrated by TCID 50 assay. Viral titers were calculated based on the difference between each siRNA and the negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± SD of three independent experiments. (D) Cell viability was measured in duplicate wells across two independent experiments using CellTiter-Glo following siRNA transfection. See also and .
    Figure Legend Snippet: Identification of host factors involved in SARS-CoV-2 and HCoV-229E replication (A) Schematic overview of the siRNA screening. HEK293 A/T cells were seeded in 24-well plates and transfected twice with siRNAs targeting 91 host genes previously identified as being involved in influenza virus replication. Cells were then infected with SARS-CoV-2 (100 plaque-forming unit [PFU]/100 μL) one day after the second transfection. Supernatants were collected at 2 days post-infection (dpi) and titrated by plaque assay. (B) Results of the SARS-CoV-2 siRNA screen. The 91 host factors were divided into four batches, each including a non-targeting siRNA as a negative control (N) and siRNA targeting SARS-CoV-2 nsp12 as a positive control (P). Viral titers were calculated based on the difference between each siRNA and its corresponding negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± standard deviation (SD) of at least three independent experiments. (C) The seven host factors identified in the SARS-CoV-2 siRNA screen were further examined in HCoV-229E, along with the negative control siRNA (N) and positive control siRNA (P) targeting the HCoV-229E N gene. Following the same method described in (A), MRC-5 cells were infected with HCoV-229E (50 tissue culture infectious dose (TCID 50 )/100 μL). Supernatants were collected at 3 dpi and titrated by TCID 50 assay. Viral titers were calculated based on the difference between each siRNA and the negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± SD of three independent experiments. (D) Cell viability was measured in duplicate wells across two independent experiments using CellTiter-Glo following siRNA transfection. See also and .

    Techniques Used: Transfection, Virus, Infection, Plaque Assay, Negative Control, Positive Control, Standard Deviation



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    ATCC mrc 5 cells
    Identification of host factors involved in SARS-CoV-2 and HCoV-229E replication (A) Schematic overview of the siRNA screening. HEK293 A/T cells were seeded in 24-well plates and transfected twice with siRNAs targeting 91 host genes previously identified as being involved in influenza virus replication. Cells were then infected with SARS-CoV-2 (100 plaque-forming unit [PFU]/100 μL) one day after the second transfection. Supernatants were collected at 2 days post-infection (dpi) and titrated by plaque assay. (B) Results of the SARS-CoV-2 siRNA screen. The 91 host factors were divided into four batches, each including a non-targeting siRNA as a negative control (N) and siRNA targeting SARS-CoV-2 nsp12 as a positive control (P). Viral titers were calculated based on the difference between each siRNA and its corresponding negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± standard deviation (SD) of at least three independent experiments. (C) The seven host factors identified in the SARS-CoV-2 siRNA screen were further examined in HCoV-229E, along with the negative control siRNA (N) and positive control siRNA (P) targeting the HCoV-229E N gene. Following the same method described in <t>(A),</t> <t>MRC-5</t> cells were infected with HCoV-229E (50 tissue culture infectious dose (TCID 50 )/100 μL). Supernatants were collected at 3 dpi and titrated by TCID 50 assay. Viral titers were calculated based on the difference between each siRNA and the negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± SD of three independent experiments. (D) Cell viability was measured in duplicate wells across two independent experiments using CellTiter-Glo following siRNA transfection. See also and .
    Mrc 5 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
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    ccl  (ATCC)
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    Identification of host factors involved in SARS-CoV-2 and HCoV-229E replication (A) Schematic overview of the siRNA screening. HEK293 A/T cells were seeded in 24-well plates and transfected twice with siRNAs targeting 91 host genes previously identified as being involved in influenza virus replication. Cells were then infected with SARS-CoV-2 (100 plaque-forming unit [PFU]/100 μL) one day after the second transfection. Supernatants were collected at 2 days post-infection (dpi) and titrated by plaque assay. (B) Results of the SARS-CoV-2 siRNA screen. The 91 host factors were divided into four batches, each including a non-targeting siRNA as a negative control (N) and siRNA targeting SARS-CoV-2 nsp12 as a positive control (P). Viral titers were calculated based on the difference between each siRNA and its corresponding negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± standard deviation (SD) of at least three independent experiments. (C) The seven host factors identified in the SARS-CoV-2 siRNA screen were further examined in HCoV-229E, along with the negative control siRNA (N) and positive control siRNA (P) targeting the HCoV-229E N gene. Following the same method described in <t>(A),</t> <t>MRC-5</t> cells were infected with HCoV-229E (50 tissue culture infectious dose (TCID 50 )/100 μL). Supernatants were collected at 3 dpi and titrated by TCID 50 assay. Viral titers were calculated based on the difference between each siRNA and the negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± SD of three independent experiments. (D) Cell viability was measured in duplicate wells across two independent experiments using CellTiter-Glo following siRNA transfection. See also and .
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    mrc 5  (ATCC)
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    ATCC mrc 5
    Identification of host factors involved in SARS-CoV-2 and HCoV-229E replication (A) Schematic overview of the siRNA screening. HEK293 A/T cells were seeded in 24-well plates and transfected twice with siRNAs targeting 91 host genes previously identified as being involved in influenza virus replication. Cells were then infected with SARS-CoV-2 (100 plaque-forming unit [PFU]/100 μL) one day after the second transfection. Supernatants were collected at 2 days post-infection (dpi) and titrated by plaque assay. (B) Results of the SARS-CoV-2 siRNA screen. The 91 host factors were divided into four batches, each including a non-targeting siRNA as a negative control (N) and siRNA targeting SARS-CoV-2 nsp12 as a positive control (P). Viral titers were calculated based on the difference between each siRNA and its corresponding negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± standard deviation (SD) of at least three independent experiments. (C) The seven host factors identified in the SARS-CoV-2 siRNA screen were further examined in HCoV-229E, along with the negative control siRNA (N) and positive control siRNA (P) targeting the HCoV-229E N gene. Following the same method described in <t>(A),</t> <t>MRC-5</t> cells were infected with HCoV-229E (50 tissue culture infectious dose (TCID 50 )/100 μL). Supernatants were collected at 3 dpi and titrated by TCID 50 assay. Viral titers were calculated based on the difference between each siRNA and the negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± SD of three independent experiments. (D) Cell viability was measured in duplicate wells across two independent experiments using CellTiter-Glo following siRNA transfection. See also and .
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    ATCC mrc 5 cell culture lung fibroblast
    Identification of host factors involved in SARS-CoV-2 and HCoV-229E replication (A) Schematic overview of the siRNA screening. HEK293 A/T cells were seeded in 24-well plates and transfected twice with siRNAs targeting 91 host genes previously identified as being involved in influenza virus replication. Cells were then infected with SARS-CoV-2 (100 plaque-forming unit [PFU]/100 μL) one day after the second transfection. Supernatants were collected at 2 days post-infection (dpi) and titrated by plaque assay. (B) Results of the SARS-CoV-2 siRNA screen. The 91 host factors were divided into four batches, each including a non-targeting siRNA as a negative control (N) and siRNA targeting SARS-CoV-2 nsp12 as a positive control (P). Viral titers were calculated based on the difference between each siRNA and its corresponding negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± standard deviation (SD) of at least three independent experiments. (C) The seven host factors identified in the SARS-CoV-2 siRNA screen were further examined in HCoV-229E, along with the negative control siRNA (N) and positive control siRNA (P) targeting the HCoV-229E N gene. Following the same method described in <t>(A),</t> <t>MRC-5</t> cells were infected with HCoV-229E (50 tissue culture infectious dose (TCID 50 )/100 μL). Supernatants were collected at 3 dpi and titrated by TCID 50 assay. Viral titers were calculated based on the difference between each siRNA and the negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± SD of three independent experiments. (D) Cell viability was measured in duplicate wells across two independent experiments using CellTiter-Glo following siRNA transfection. See also and .
    Mrc 5 Cell Culture Lung Fibroblast, 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 lung fibroblast cell line mrc 5
    NPM1 expression is up-regulated in lung cancer tissues and cell lines. (A) Expression of NPM1 in lung cancer tissues and adjacent normal lung tissues based on TCGA RNA-seq datasets. NPM1 expression was significantly higher in lung cancer tissues compared to normal controls (***p<0.001). (B) Western blot analysis of NPM1 protein levels in a panel of lung cancer cell lines (A549, H460, Calu-1, H1299, H358, Calu-3, SK-MES-1) compared to the normal lung fibroblast cell line <t>MRC-5.</t> β-Actin was used as a loading control. All western blot experiments were independently repeated three times (biological replicates n=3).
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    NPM1 expression is up-regulated in lung cancer tissues and cell lines. (A) Expression of NPM1 in lung cancer tissues and adjacent normal lung tissues based on TCGA RNA-seq datasets. NPM1 expression was significantly higher in lung cancer tissues compared to normal controls (***p<0.001). (B) Western blot analysis of NPM1 protein levels in a panel of lung cancer cell lines (A549, H460, Calu-1, H1299, H358, Calu-3, SK-MES-1) compared to the normal lung fibroblast cell line <t>MRC-5.</t> β-Actin was used as a loading control. All western blot experiments were independently repeated three times (biological replicates n=3).
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    NPM1 expression is up-regulated in lung cancer tissues and cell lines. (A) Expression of NPM1 in lung cancer tissues and adjacent normal lung tissues based on TCGA RNA-seq datasets. NPM1 expression was significantly higher in lung cancer tissues compared to normal controls (***p<0.001). (B) Western blot analysis of NPM1 protein levels in a panel of lung cancer cell lines (A549, H460, Calu-1, H1299, H358, Calu-3, SK-MES-1) compared to the normal lung fibroblast cell line <t>MRC-5.</t> β-Actin was used as a loading control. All western blot experiments were independently repeated three times (biological replicates n=3).
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    ATCC mrc5
    NPM1 expression is up-regulated in lung cancer tissues and cell lines. (A) Expression of NPM1 in lung cancer tissues and adjacent normal lung tissues based on TCGA RNA-seq datasets. NPM1 expression was significantly higher in lung cancer tissues compared to normal controls (***p<0.001). (B) Western blot analysis of NPM1 protein levels in a panel of lung cancer cell lines (A549, H460, Calu-1, H1299, H358, Calu-3, SK-MES-1) compared to the normal lung fibroblast cell line <t>MRC-5.</t> β-Actin was used as a loading control. All western blot experiments were independently repeated three times (biological replicates n=3).
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    Image Search Results


    Identification of host factors involved in SARS-CoV-2 and HCoV-229E replication (A) Schematic overview of the siRNA screening. HEK293 A/T cells were seeded in 24-well plates and transfected twice with siRNAs targeting 91 host genes previously identified as being involved in influenza virus replication. Cells were then infected with SARS-CoV-2 (100 plaque-forming unit [PFU]/100 μL) one day after the second transfection. Supernatants were collected at 2 days post-infection (dpi) and titrated by plaque assay. (B) Results of the SARS-CoV-2 siRNA screen. The 91 host factors were divided into four batches, each including a non-targeting siRNA as a negative control (N) and siRNA targeting SARS-CoV-2 nsp12 as a positive control (P). Viral titers were calculated based on the difference between each siRNA and its corresponding negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± standard deviation (SD) of at least three independent experiments. (C) The seven host factors identified in the SARS-CoV-2 siRNA screen were further examined in HCoV-229E, along with the negative control siRNA (N) and positive control siRNA (P) targeting the HCoV-229E N gene. Following the same method described in (A), MRC-5 cells were infected with HCoV-229E (50 tissue culture infectious dose (TCID 50 )/100 μL). Supernatants were collected at 3 dpi and titrated by TCID 50 assay. Viral titers were calculated based on the difference between each siRNA and the negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± SD of three independent experiments. (D) Cell viability was measured in duplicate wells across two independent experiments using CellTiter-Glo following siRNA transfection. See also and .

    Journal: iScience

    Article Title: Broad-spectrum antiviral activity of antisense oligonucleotides targeting GBF1 against SARS-CoV-2 and influenza viruses

    doi: 10.1016/j.isci.2026.114851

    Figure Lengend Snippet: Identification of host factors involved in SARS-CoV-2 and HCoV-229E replication (A) Schematic overview of the siRNA screening. HEK293 A/T cells were seeded in 24-well plates and transfected twice with siRNAs targeting 91 host genes previously identified as being involved in influenza virus replication. Cells were then infected with SARS-CoV-2 (100 plaque-forming unit [PFU]/100 μL) one day after the second transfection. Supernatants were collected at 2 days post-infection (dpi) and titrated by plaque assay. (B) Results of the SARS-CoV-2 siRNA screen. The 91 host factors were divided into four batches, each including a non-targeting siRNA as a negative control (N) and siRNA targeting SARS-CoV-2 nsp12 as a positive control (P). Viral titers were calculated based on the difference between each siRNA and its corresponding negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± standard deviation (SD) of at least three independent experiments. (C) The seven host factors identified in the SARS-CoV-2 siRNA screen were further examined in HCoV-229E, along with the negative control siRNA (N) and positive control siRNA (P) targeting the HCoV-229E N gene. Following the same method described in (A), MRC-5 cells were infected with HCoV-229E (50 tissue culture infectious dose (TCID 50 )/100 μL). Supernatants were collected at 3 dpi and titrated by TCID 50 assay. Viral titers were calculated based on the difference between each siRNA and the negative control. Each dot represents the mean of duplicate wells from a single independent experiment. Data are presented as the mean ± SD of three independent experiments. (D) Cell viability was measured in duplicate wells across two independent experiments using CellTiter-Glo following siRNA transfection. See also and .

    Article Snippet: MRC-5 cells , ATCC , CCL-171.

    Techniques: Transfection, Virus, Infection, Plaque Assay, Negative Control, Positive Control, Standard Deviation

    NPM1 expression is up-regulated in lung cancer tissues and cell lines. (A) Expression of NPM1 in lung cancer tissues and adjacent normal lung tissues based on TCGA RNA-seq datasets. NPM1 expression was significantly higher in lung cancer tissues compared to normal controls (***p<0.001). (B) Western blot analysis of NPM1 protein levels in a panel of lung cancer cell lines (A549, H460, Calu-1, H1299, H358, Calu-3, SK-MES-1) compared to the normal lung fibroblast cell line MRC-5. β-Actin was used as a loading control. All western blot experiments were independently repeated three times (biological replicates n=3).

    Journal: Cancer Genomics & Proteomics

    Article Title: NPM1 Drives ERK1/2-Dependent Tumor Progression in Lung Cancer

    doi: 10.21873/cgp.20572

    Figure Lengend Snippet: NPM1 expression is up-regulated in lung cancer tissues and cell lines. (A) Expression of NPM1 in lung cancer tissues and adjacent normal lung tissues based on TCGA RNA-seq datasets. NPM1 expression was significantly higher in lung cancer tissues compared to normal controls (***p<0.001). (B) Western blot analysis of NPM1 protein levels in a panel of lung cancer cell lines (A549, H460, Calu-1, H1299, H358, Calu-3, SK-MES-1) compared to the normal lung fibroblast cell line MRC-5. β-Actin was used as a loading control. All western blot experiments were independently repeated three times (biological replicates n=3).

    Article Snippet: Human lung cancer cell lines (A549, H460, Calu-1, H1299, H358, Calu-3, SK-MES-1) and the normal lung fibroblast cell line (MRC-5) were obtained from the American Type Culture Collection (ATCC; Manassas, VA, USA).

    Techniques: Expressing, RNA Sequencing, Western Blot, Control