sars cov 2 nucleocapsid stainingafter staining  (Sino Biological)


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    Sino Biological sars cov 2 nucleocapsid stainingafter staining
    Repurposed library screening for COVID-19 using phenomics A . Syk, c-Met and PI3K inhibitors rescue the severe COVID-19 specific cytokine storm high-dimensional phenoprint (perturbed state) to the healthy phenoprint (target state). B . Example images of target and perturbed cell populations for the cytokine storm and SARS-CoV2 viral models. C . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 for the separation in on-perturbation score for the mock and infected populations. D-F . Projections of compound response in the context of the perturbation vector generated in <t>SARS-CoV-2-infected</t> HRCE, Vero, and Calu3 cells. Off-perturbation values clipped at 50 for visualization. G . Compound impact on endothelial barrier function as quantified by ECIS assay. Values are normalized from 0 (cytokine storm cocktail-treated wells) to 100 (mock-treated wells). Data was averaged over a 12-minute window at hour 12 of ECIS measurement to visualize concentration response curves for the indicated compounds. H . Infection rate as determined by SARS-CoV-2 nucleocapsid antibody staining of infected HRCEs treated with the denoted compounds. I . Plot of efficacious molecules by hit-scores in SARS-CoV-2 HRCE assay vs cytokine storm assay. Orange circles denote molecules registered in interventional COVID-19 clinical trials at the time of submission. Dotted lines presented as a visual guide depicting a hit score of 0.6.
    Sars Cov 2 Nucleocapsid Stainingafter Staining, supplied by Sino Biological, used in various techniques. Bioz Stars score: 93/100, based on 2 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/sars cov 2 nucleocapsid stainingafter staining/product/Sino Biological
    Average 93 stars, based on 2 article reviews
    Price from $9.99 to $1999.99
    sars cov 2 nucleocapsid stainingafter staining - by Bioz Stars, 2022-11
    93/100 stars

    Images

    1) Product Images from "Functional immune mapping with deep-learning enabled phenomics applied to immunomodulatory and COVID-19 drug discovery"

    Article Title: Functional immune mapping with deep-learning enabled phenomics applied to immunomodulatory and COVID-19 drug discovery

    Journal: bioRxiv

    doi: 10.1101/2020.08.02.233064

    Repurposed library screening for COVID-19 using phenomics A . Syk, c-Met and PI3K inhibitors rescue the severe COVID-19 specific cytokine storm high-dimensional phenoprint (perturbed state) to the healthy phenoprint (target state). B . Example images of target and perturbed cell populations for the cytokine storm and SARS-CoV2 viral models. C . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 for the separation in on-perturbation score for the mock and infected populations. D-F . Projections of compound response in the context of the perturbation vector generated in SARS-CoV-2-infected HRCE, Vero, and Calu3 cells. Off-perturbation values clipped at 50 for visualization. G . Compound impact on endothelial barrier function as quantified by ECIS assay. Values are normalized from 0 (cytokine storm cocktail-treated wells) to 100 (mock-treated wells). Data was averaged over a 12-minute window at hour 12 of ECIS measurement to visualize concentration response curves for the indicated compounds. H . Infection rate as determined by SARS-CoV-2 nucleocapsid antibody staining of infected HRCEs treated with the denoted compounds. I . Plot of efficacious molecules by hit-scores in SARS-CoV-2 HRCE assay vs cytokine storm assay. Orange circles denote molecules registered in interventional COVID-19 clinical trials at the time of submission. Dotted lines presented as a visual guide depicting a hit score of 0.6.
    Figure Legend Snippet: Repurposed library screening for COVID-19 using phenomics A . Syk, c-Met and PI3K inhibitors rescue the severe COVID-19 specific cytokine storm high-dimensional phenoprint (perturbed state) to the healthy phenoprint (target state). B . Example images of target and perturbed cell populations for the cytokine storm and SARS-CoV2 viral models. C . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 for the separation in on-perturbation score for the mock and infected populations. D-F . Projections of compound response in the context of the perturbation vector generated in SARS-CoV-2-infected HRCE, Vero, and Calu3 cells. Off-perturbation values clipped at 50 for visualization. G . Compound impact on endothelial barrier function as quantified by ECIS assay. Values are normalized from 0 (cytokine storm cocktail-treated wells) to 100 (mock-treated wells). Data was averaged over a 12-minute window at hour 12 of ECIS measurement to visualize concentration response curves for the indicated compounds. H . Infection rate as determined by SARS-CoV-2 nucleocapsid antibody staining of infected HRCEs treated with the denoted compounds. I . Plot of efficacious molecules by hit-scores in SARS-CoV-2 HRCE assay vs cytokine storm assay. Orange circles denote molecules registered in interventional COVID-19 clinical trials at the time of submission. Dotted lines presented as a visual guide depicting a hit score of 0.6.

    Techniques Used: Library Screening, Infection, Plasmid Preparation, Generated, Electric Cell-substrate Impedance Sensing, Concentration Assay, Staining

    SARS-CoV-2 infection model A . Quantification of active SARS-CoV-2 production over time in the indicated cell types using TCID50 measurement on Vero cells (n=2). B . Representative images of HRCE, Calu3 and Vero cells immunostained with SARS-CoV-2 nucleocapsid protein (pink) and modified cell paint dyes C . Infection rates of each tested cell type as analyzed by nucleocapsid immunostaining. Of note, HRCE donors displayed significant variation in infectability and only a minority of donors exhibited infection rates high enough for screening. Antibody stains were performed after the principal analysis concluded and are therefore not represented in the primary dataset used for phenoprint evaluation and compound screening. D . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 and was selected for further investigation. Vero and Calu3 cells also demonstrated screenable phenoprints. E . Quantification of percentage of cells infected using nucleocapsid protein immunostaining in Calu3 cells at 96 hours post infection for key compounds F . Consistency of hit scores for selected compounds across HRCE donors and between cell types. G . Projections of compound response of JAK inhibitor and control compounds onto the perturbation vector generated in SARS-CoV-2-infected HRCE. H . Quantification of percent of cells infected using nucleocapsid protein immunostaining in HRCE cells at 96 hours post infection for JAK inhibitors
    Figure Legend Snippet: SARS-CoV-2 infection model A . Quantification of active SARS-CoV-2 production over time in the indicated cell types using TCID50 measurement on Vero cells (n=2). B . Representative images of HRCE, Calu3 and Vero cells immunostained with SARS-CoV-2 nucleocapsid protein (pink) and modified cell paint dyes C . Infection rates of each tested cell type as analyzed by nucleocapsid immunostaining. Of note, HRCE donors displayed significant variation in infectability and only a minority of donors exhibited infection rates high enough for screening. Antibody stains were performed after the principal analysis concluded and are therefore not represented in the primary dataset used for phenoprint evaluation and compound screening. D . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 and was selected for further investigation. Vero and Calu3 cells also demonstrated screenable phenoprints. E . Quantification of percentage of cells infected using nucleocapsid protein immunostaining in Calu3 cells at 96 hours post infection for key compounds F . Consistency of hit scores for selected compounds across HRCE donors and between cell types. G . Projections of compound response of JAK inhibitor and control compounds onto the perturbation vector generated in SARS-CoV-2-infected HRCE. H . Quantification of percent of cells infected using nucleocapsid protein immunostaining in HRCE cells at 96 hours post infection for JAK inhibitors

    Techniques Used: Infection, Modification, Immunostaining, Plasmid Preparation, Generated

    2) Product Images from "Functional immune mapping with deep-learning enabled phenomics applied to immunomodulatory and COVID-19 drug discovery"

    Article Title: Functional immune mapping with deep-learning enabled phenomics applied to immunomodulatory and COVID-19 drug discovery

    Journal: bioRxiv

    doi: 10.1101/2020.08.02.233064

    Repurposed library screening for COVID-19 using phenomics A . Syk, c-Met and PI3K inhibitors rescue the severe COVID-19 specific cytokine storm high-dimensional phenoprint (perturbed state) to the healthy phenoprint (target state). B . Example images of target and perturbed cell populations for the cytokine storm and SARS-CoV2 viral models. C . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 for the separation in on-perturbation score for the mock and infected populations. D-F . Projections of compound response in the context of the perturbation vector generated in SARS-CoV-2-infected HRCE, Vero, and Calu3 cells. Off-perturbation values clipped at 50 for visualization. G . Compound impact on endothelial barrier function as quantified by ECIS assay. Values are normalized from 0 (cytokine storm cocktail-treated wells) to 100 (mock-treated wells). Data was averaged over a 12-minute window at hour 12 of ECIS measurement to visualize concentration response curves for the indicated compounds. H . Infection rate as determined by SARS-CoV-2 nucleocapsid antibody staining of infected HRCEs treated with the denoted compounds. I . Plot of efficacious molecules by hit-scores in SARS-CoV-2 HRCE assay vs cytokine storm assay. Orange circles denote molecules registered in interventional COVID-19 clinical trials at the time of submission. Dotted lines presented as a visual guide depicting a hit score of 0.6.
    Figure Legend Snippet: Repurposed library screening for COVID-19 using phenomics A . Syk, c-Met and PI3K inhibitors rescue the severe COVID-19 specific cytokine storm high-dimensional phenoprint (perturbed state) to the healthy phenoprint (target state). B . Example images of target and perturbed cell populations for the cytokine storm and SARS-CoV2 viral models. C . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 for the separation in on-perturbation score for the mock and infected populations. D-F . Projections of compound response in the context of the perturbation vector generated in SARS-CoV-2-infected HRCE, Vero, and Calu3 cells. Off-perturbation values clipped at 50 for visualization. G . Compound impact on endothelial barrier function as quantified by ECIS assay. Values are normalized from 0 (cytokine storm cocktail-treated wells) to 100 (mock-treated wells). Data was averaged over a 12-minute window at hour 12 of ECIS measurement to visualize concentration response curves for the indicated compounds. H . Infection rate as determined by SARS-CoV-2 nucleocapsid antibody staining of infected HRCEs treated with the denoted compounds. I . Plot of efficacious molecules by hit-scores in SARS-CoV-2 HRCE assay vs cytokine storm assay. Orange circles denote molecules registered in interventional COVID-19 clinical trials at the time of submission. Dotted lines presented as a visual guide depicting a hit score of 0.6.

    Techniques Used: Library Screening, Infection, Plasmid Preparation, Generated, Electric Cell-substrate Impedance Sensing, Concentration Assay, Staining

    SARS-CoV-2 infection model A . Quantification of active SARS-CoV-2 production over time in the indicated cell types using TCID50 measurement on Vero cells (n=2). B . Representative images of HRCE, Calu3 and Vero cells immunostained with SARS-CoV-2 nucleocapsid protein (pink) and modified cell paint dyes C . Infection rates of each tested cell type as analyzed by nucleocapsid immunostaining. Of note, HRCE donors displayed significant variation in infectability and only a minority of donors exhibited infection rates high enough for screening. Antibody stains were performed after the principal analysis concluded, and are therefore not represented in the primary dataset used for phenoprint evaluation and compound screening. D . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 and was selected for further investigation. Vero and Calu3 cells also demonstrated screenable phenoprints. E . Quantification of percentage of cells infected using nucleocapsid protein immunostaining in Calu3 cells at 96 hours post infection for key compounds F . Consistency of hit scores for selected compounds across HRCE donors and between cell types. G . Projections of compound response of JAK inhibitor and control compounds onto the perturbation vector generated in SARS-CoV-2-infected HRCE. H . Quantification of percent of cells infected using nucleocapsid protein immunostaining in HRCE cells at 96 hours post infection for JAK inhibitors
    Figure Legend Snippet: SARS-CoV-2 infection model A . Quantification of active SARS-CoV-2 production over time in the indicated cell types using TCID50 measurement on Vero cells (n=2). B . Representative images of HRCE, Calu3 and Vero cells immunostained with SARS-CoV-2 nucleocapsid protein (pink) and modified cell paint dyes C . Infection rates of each tested cell type as analyzed by nucleocapsid immunostaining. Of note, HRCE donors displayed significant variation in infectability and only a minority of donors exhibited infection rates high enough for screening. Antibody stains were performed after the principal analysis concluded, and are therefore not represented in the primary dataset used for phenoprint evaluation and compound screening. D . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 and was selected for further investigation. Vero and Calu3 cells also demonstrated screenable phenoprints. E . Quantification of percentage of cells infected using nucleocapsid protein immunostaining in Calu3 cells at 96 hours post infection for key compounds F . Consistency of hit scores for selected compounds across HRCE donors and between cell types. G . Projections of compound response of JAK inhibitor and control compounds onto the perturbation vector generated in SARS-CoV-2-infected HRCE. H . Quantification of percent of cells infected using nucleocapsid protein immunostaining in HRCE cells at 96 hours post infection for JAK inhibitors

    Techniques Used: Infection, Modification, Immunostaining, Plasmid Preparation, Generated

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    Sino Biological sars cov 2 nucleocapsid stainingafter staining
    Repurposed library screening for COVID-19 using phenomics A . Syk, c-Met and PI3K inhibitors rescue the severe COVID-19 specific cytokine storm high-dimensional phenoprint (perturbed state) to the healthy phenoprint (target state). B . Example images of target and perturbed cell populations for the cytokine storm and SARS-CoV2 viral models. C . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 for the separation in on-perturbation score for the mock and infected populations. D-F . Projections of compound response in the context of the perturbation vector generated in <t>SARS-CoV-2-infected</t> HRCE, Vero, and Calu3 cells. Off-perturbation values clipped at 50 for visualization. G . Compound impact on endothelial barrier function as quantified by ECIS assay. Values are normalized from 0 (cytokine storm cocktail-treated wells) to 100 (mock-treated wells). Data was averaged over a 12-minute window at hour 12 of ECIS measurement to visualize concentration response curves for the indicated compounds. H . Infection rate as determined by SARS-CoV-2 nucleocapsid antibody staining of infected HRCEs treated with the denoted compounds. I . Plot of efficacious molecules by hit-scores in SARS-CoV-2 HRCE assay vs cytokine storm assay. Orange circles denote molecules registered in interventional COVID-19 clinical trials at the time of submission. Dotted lines presented as a visual guide depicting a hit score of 0.6.
    Sars Cov 2 Nucleocapsid Stainingafter Staining, supplied by Sino Biological, used in various techniques. Bioz Stars score: 93/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/sars cov 2 nucleocapsid stainingafter staining/product/Sino Biological
    Average 93 stars, based on 1 article reviews
    Price from $9.99 to $1999.99
    sars cov 2 nucleocapsid stainingafter staining - by Bioz Stars, 2022-11
    93/100 stars
      Buy from Supplier

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    Repurposed library screening for COVID-19 using phenomics A . Syk, c-Met and PI3K inhibitors rescue the severe COVID-19 specific cytokine storm high-dimensional phenoprint (perturbed state) to the healthy phenoprint (target state). B . Example images of target and perturbed cell populations for the cytokine storm and SARS-CoV2 viral models. C . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 for the separation in on-perturbation score for the mock and infected populations. D-F . Projections of compound response in the context of the perturbation vector generated in SARS-CoV-2-infected HRCE, Vero, and Calu3 cells. Off-perturbation values clipped at 50 for visualization. G . Compound impact on endothelial barrier function as quantified by ECIS assay. Values are normalized from 0 (cytokine storm cocktail-treated wells) to 100 (mock-treated wells). Data was averaged over a 12-minute window at hour 12 of ECIS measurement to visualize concentration response curves for the indicated compounds. H . Infection rate as determined by SARS-CoV-2 nucleocapsid antibody staining of infected HRCEs treated with the denoted compounds. I . Plot of efficacious molecules by hit-scores in SARS-CoV-2 HRCE assay vs cytokine storm assay. Orange circles denote molecules registered in interventional COVID-19 clinical trials at the time of submission. Dotted lines presented as a visual guide depicting a hit score of 0.6.

    Journal: bioRxiv

    Article Title: Functional immune mapping with deep-learning enabled phenomics applied to immunomodulatory and COVID-19 drug discovery

    doi: 10.1101/2020.08.02.233064

    Figure Lengend Snippet: Repurposed library screening for COVID-19 using phenomics A . Syk, c-Met and PI3K inhibitors rescue the severe COVID-19 specific cytokine storm high-dimensional phenoprint (perturbed state) to the healthy phenoprint (target state). B . Example images of target and perturbed cell populations for the cytokine storm and SARS-CoV2 viral models. C . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 for the separation in on-perturbation score for the mock and infected populations. D-F . Projections of compound response in the context of the perturbation vector generated in SARS-CoV-2-infected HRCE, Vero, and Calu3 cells. Off-perturbation values clipped at 50 for visualization. G . Compound impact on endothelial barrier function as quantified by ECIS assay. Values are normalized from 0 (cytokine storm cocktail-treated wells) to 100 (mock-treated wells). Data was averaged over a 12-minute window at hour 12 of ECIS measurement to visualize concentration response curves for the indicated compounds. H . Infection rate as determined by SARS-CoV-2 nucleocapsid antibody staining of infected HRCEs treated with the denoted compounds. I . Plot of efficacious molecules by hit-scores in SARS-CoV-2 HRCE assay vs cytokine storm assay. Orange circles denote molecules registered in interventional COVID-19 clinical trials at the time of submission. Dotted lines presented as a visual guide depicting a hit score of 0.6.

    Article Snippet: SARS-CoV-2 Nucleocapsid stainingAfter staining and imaging to establish high dimensional phenotypes, plates were rinsed once with Wash Buffer (1xHBSS + 0.02% sodium azide) before incubating with primary antibody raised against SARS-CoV-2 nucleocapsid protein for 60 mins at RT (Sino Biological catno.

    Techniques: Library Screening, Infection, Plasmid Preparation, Generated, Electric Cell-substrate Impedance Sensing, Concentration Assay, Staining

    SARS-CoV-2 infection model A . Quantification of active SARS-CoV-2 production over time in the indicated cell types using TCID50 measurement on Vero cells (n=2). B . Representative images of HRCE, Calu3 and Vero cells immunostained with SARS-CoV-2 nucleocapsid protein (pink) and modified cell paint dyes C . Infection rates of each tested cell type as analyzed by nucleocapsid immunostaining. Of note, HRCE donors displayed significant variation in infectability and only a minority of donors exhibited infection rates high enough for screening. Antibody stains were performed after the principal analysis concluded and are therefore not represented in the primary dataset used for phenoprint evaluation and compound screening. D . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 and was selected for further investigation. Vero and Calu3 cells also demonstrated screenable phenoprints. E . Quantification of percentage of cells infected using nucleocapsid protein immunostaining in Calu3 cells at 96 hours post infection for key compounds F . Consistency of hit scores for selected compounds across HRCE donors and between cell types. G . Projections of compound response of JAK inhibitor and control compounds onto the perturbation vector generated in SARS-CoV-2-infected HRCE. H . Quantification of percent of cells infected using nucleocapsid protein immunostaining in HRCE cells at 96 hours post infection for JAK inhibitors

    Journal: bioRxiv

    Article Title: Functional immune mapping with deep-learning enabled phenomics applied to immunomodulatory and COVID-19 drug discovery

    doi: 10.1101/2020.08.02.233064

    Figure Lengend Snippet: SARS-CoV-2 infection model A . Quantification of active SARS-CoV-2 production over time in the indicated cell types using TCID50 measurement on Vero cells (n=2). B . Representative images of HRCE, Calu3 and Vero cells immunostained with SARS-CoV-2 nucleocapsid protein (pink) and modified cell paint dyes C . Infection rates of each tested cell type as analyzed by nucleocapsid immunostaining. Of note, HRCE donors displayed significant variation in infectability and only a minority of donors exhibited infection rates high enough for screening. Antibody stains were performed after the principal analysis concluded and are therefore not represented in the primary dataset used for phenoprint evaluation and compound screening. D . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 and was selected for further investigation. Vero and Calu3 cells also demonstrated screenable phenoprints. E . Quantification of percentage of cells infected using nucleocapsid protein immunostaining in Calu3 cells at 96 hours post infection for key compounds F . Consistency of hit scores for selected compounds across HRCE donors and between cell types. G . Projections of compound response of JAK inhibitor and control compounds onto the perturbation vector generated in SARS-CoV-2-infected HRCE. H . Quantification of percent of cells infected using nucleocapsid protein immunostaining in HRCE cells at 96 hours post infection for JAK inhibitors

    Article Snippet: SARS-CoV-2 Nucleocapsid stainingAfter staining and imaging to establish high dimensional phenotypes, plates were rinsed once with Wash Buffer (1xHBSS + 0.02% sodium azide) before incubating with primary antibody raised against SARS-CoV-2 nucleocapsid protein for 60 mins at RT (Sino Biological catno.

    Techniques: Infection, Modification, Immunostaining, Plasmid Preparation, Generated

    Repurposed library screening for COVID-19 using phenomics A . Syk, c-Met and PI3K inhibitors rescue the severe COVID-19 specific cytokine storm high-dimensional phenoprint (perturbed state) to the healthy phenoprint (target state). B . Example images of target and perturbed cell populations for the cytokine storm and SARS-CoV2 viral models. C . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 for the separation in on-perturbation score for the mock and infected populations. D-F . Projections of compound response in the context of the perturbation vector generated in SARS-CoV-2-infected HRCE, Vero, and Calu3 cells. Off-perturbation values clipped at 50 for visualization. G . Compound impact on endothelial barrier function as quantified by ECIS assay. Values are normalized from 0 (cytokine storm cocktail-treated wells) to 100 (mock-treated wells). Data was averaged over a 12-minute window at hour 12 of ECIS measurement to visualize concentration response curves for the indicated compounds. H . Infection rate as determined by SARS-CoV-2 nucleocapsid antibody staining of infected HRCEs treated with the denoted compounds. I . Plot of efficacious molecules by hit-scores in SARS-CoV-2 HRCE assay vs cytokine storm assay. Orange circles denote molecules registered in interventional COVID-19 clinical trials at the time of submission. Dotted lines presented as a visual guide depicting a hit score of 0.6.

    Journal: bioRxiv

    Article Title: Functional immune mapping with deep-learning enabled phenomics applied to immunomodulatory and COVID-19 drug discovery

    doi: 10.1101/2020.08.02.233064

    Figure Lengend Snippet: Repurposed library screening for COVID-19 using phenomics A . Syk, c-Met and PI3K inhibitors rescue the severe COVID-19 specific cytokine storm high-dimensional phenoprint (perturbed state) to the healthy phenoprint (target state). B . Example images of target and perturbed cell populations for the cytokine storm and SARS-CoV2 viral models. C . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 for the separation in on-perturbation score for the mock and infected populations. D-F . Projections of compound response in the context of the perturbation vector generated in SARS-CoV-2-infected HRCE, Vero, and Calu3 cells. Off-perturbation values clipped at 50 for visualization. G . Compound impact on endothelial barrier function as quantified by ECIS assay. Values are normalized from 0 (cytokine storm cocktail-treated wells) to 100 (mock-treated wells). Data was averaged over a 12-minute window at hour 12 of ECIS measurement to visualize concentration response curves for the indicated compounds. H . Infection rate as determined by SARS-CoV-2 nucleocapsid antibody staining of infected HRCEs treated with the denoted compounds. I . Plot of efficacious molecules by hit-scores in SARS-CoV-2 HRCE assay vs cytokine storm assay. Orange circles denote molecules registered in interventional COVID-19 clinical trials at the time of submission. Dotted lines presented as a visual guide depicting a hit score of 0.6.

    Article Snippet: SARS-CoV-2 Nucleocapsid stainingAfter staining and imaging to establish high dimensional phenotypes, plates were rinsed once with Wash Buffer (1xHBSS + 0.02% sodium azide) before incubating with primary antibody raised against SARS-CoV-2 nucleocapsid protein for 60 mins at RT (Sino Biological catno.

    Techniques: Library Screening, Infection, Plasmid Preparation, Generated, Electric Cell-substrate Impedance Sensing, Concentration Assay, Staining

    SARS-CoV-2 infection model A . Quantification of active SARS-CoV-2 production over time in the indicated cell types using TCID50 measurement on Vero cells (n=2). B . Representative images of HRCE, Calu3 and Vero cells immunostained with SARS-CoV-2 nucleocapsid protein (pink) and modified cell paint dyes C . Infection rates of each tested cell type as analyzed by nucleocapsid immunostaining. Of note, HRCE donors displayed significant variation in infectability and only a minority of donors exhibited infection rates high enough for screening. Antibody stains were performed after the principal analysis concluded, and are therefore not represented in the primary dataset used for phenoprint evaluation and compound screening. D . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 and was selected for further investigation. Vero and Calu3 cells also demonstrated screenable phenoprints. E . Quantification of percentage of cells infected using nucleocapsid protein immunostaining in Calu3 cells at 96 hours post infection for key compounds F . Consistency of hit scores for selected compounds across HRCE donors and between cell types. G . Projections of compound response of JAK inhibitor and control compounds onto the perturbation vector generated in SARS-CoV-2-infected HRCE. H . Quantification of percent of cells infected using nucleocapsid protein immunostaining in HRCE cells at 96 hours post infection for JAK inhibitors

    Journal: bioRxiv

    Article Title: Functional immune mapping with deep-learning enabled phenomics applied to immunomodulatory and COVID-19 drug discovery

    doi: 10.1101/2020.08.02.233064

    Figure Lengend Snippet: SARS-CoV-2 infection model A . Quantification of active SARS-CoV-2 production over time in the indicated cell types using TCID50 measurement on Vero cells (n=2). B . Representative images of HRCE, Calu3 and Vero cells immunostained with SARS-CoV-2 nucleocapsid protein (pink) and modified cell paint dyes C . Infection rates of each tested cell type as analyzed by nucleocapsid immunostaining. Of note, HRCE donors displayed significant variation in infectability and only a minority of donors exhibited infection rates high enough for screening. Antibody stains were performed after the principal analysis concluded, and are therefore not represented in the primary dataset used for phenoprint evaluation and compound screening. D . Infection of HRCE yielded a phenoprint against the mock-infected target population with an assay z-factor of 0.43 and was selected for further investigation. Vero and Calu3 cells also demonstrated screenable phenoprints. E . Quantification of percentage of cells infected using nucleocapsid protein immunostaining in Calu3 cells at 96 hours post infection for key compounds F . Consistency of hit scores for selected compounds across HRCE donors and between cell types. G . Projections of compound response of JAK inhibitor and control compounds onto the perturbation vector generated in SARS-CoV-2-infected HRCE. H . Quantification of percent of cells infected using nucleocapsid protein immunostaining in HRCE cells at 96 hours post infection for JAK inhibitors

    Article Snippet: SARS-CoV-2 Nucleocapsid stainingAfter staining and imaging to establish high dimensional phenotypes, plates were rinsed once with Wash Buffer (1xHBSS + 0.02% sodium azide) before incubating with primary antibody raised against SARS-CoV-2 nucleocapsid protein for 60 mins at RT (Sino Biological catno.

    Techniques: Infection, Modification, Immunostaining, Plasmid Preparation, Generated