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beta 2 adaptin ap2b1 pab  (Novus Biologicals)


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    Novus Biologicals beta 2 adaptin ap2b1 pab
    Re-defining the selection criteria for the CCA. (A) Parameter scanning experiment determining the CCA score (SCCA) for kinase PPIs predicted by our CCA in the SK-N-SH cell line. Increasingly stringent Student’s t-test log2 FC and p-value cut-off criteria were applied and only kinases or non-kinases fulfilling these criteria were used for CCA. Statistics: two sample Student’s t-test, range of log2 FC ≥ 0 to ≤ 5, and p ≥ 0 to ≤ 0.001. Refers to Fig. S2A . (B) Plotting the SCCA for varying log2 FC cut-offs and p-Value cut-offs against one another identified optimal mixed cut-off criteria for kinases input into our CCA. Refers to Fig. S2B . (C) Venn diagrams showing the overlap of reported kinase PPIs that were predicted by our 1 st gen CCA algorithm and PPIs predicted by our 2 nd gen CCA algorithm. Both 1 st and 2 nd gen CCA used the same diaPASEF kinobead AP-MS data from the two NB cell lines SK-N-SH and SH-SY5Y as the input. Refers to Table S1 . (D) Heatmap showing the %TDR for PPIs achieved by our 2 nd gen CCA separated into 0.05-unit intervals of the CCA Pearson’s r-value for the 1 st through 10 th predicted kinase interactor of a non-kinase protein. The %TDR reflects the percentage of BioGRID-reported divided by BioGRID-unreported PPIs. Refers to Fig. S2C . (E) STRING network for interaction partners of the kinases AAK1, BMP2K, and BCR, as predicted by 2 nd gen CCA. (F) Volcano plot showing the results of a co-IP/MS experiment using a specific antibody that binds <t>AP2B1.</t> Only proteins that are also members of the STRING interaction network in (E) are shown. Statistics: two sample Student’s t-test p < 0.05. Refers to Fig. S2E . (G) Venn diagrams comparing the total number of predicted kinase PPIs of 1 st predicted kinase vs. 1 st – 10 th predicted kinase, as was determined by 2 nd gen CCA in the NB cell lines SK-N-SH and SH-SY5Y.
    Beta 2 Adaptin Ap2b1 Pab, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/beta+2+adaptin+ap2b1+pab/Beta+2+Adaptin+Antibody/bio_rxiv__2024__11__22__624841-194-13-18
    Average 92 stars, based on 1 article reviews
    beta 2 adaptin ap2b1 pab - by Bioz Stars, 2026-10
    92/100 stars

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    1) Product Images from "diaPASEF-Powered Chemoproteomics Enables Deep Kinome Interaction Profiling"

    Article Title: diaPASEF-Powered Chemoproteomics Enables Deep Kinome Interaction Profiling

    Journal: bioRxiv

    doi: 10.1101/2024.11.22.624841

    Re-defining the selection criteria for the CCA. (A) Parameter scanning experiment determining the CCA score (SCCA) for kinase PPIs predicted by our CCA in the SK-N-SH cell line. Increasingly stringent Student’s t-test log2 FC and p-value cut-off criteria were applied and only kinases or non-kinases fulfilling these criteria were used for CCA. Statistics: two sample Student’s t-test, range of log2 FC ≥ 0 to ≤ 5, and p ≥ 0 to ≤ 0.001. Refers to Fig. S2A . (B) Plotting the SCCA for varying log2 FC cut-offs and p-Value cut-offs against one another identified optimal mixed cut-off criteria for kinases input into our CCA. Refers to Fig. S2B . (C) Venn diagrams showing the overlap of reported kinase PPIs that were predicted by our 1 st gen CCA algorithm and PPIs predicted by our 2 nd gen CCA algorithm. Both 1 st and 2 nd gen CCA used the same diaPASEF kinobead AP-MS data from the two NB cell lines SK-N-SH and SH-SY5Y as the input. Refers to Table S1 . (D) Heatmap showing the %TDR for PPIs achieved by our 2 nd gen CCA separated into 0.05-unit intervals of the CCA Pearson’s r-value for the 1 st through 10 th predicted kinase interactor of a non-kinase protein. The %TDR reflects the percentage of BioGRID-reported divided by BioGRID-unreported PPIs. Refers to Fig. S2C . (E) STRING network for interaction partners of the kinases AAK1, BMP2K, and BCR, as predicted by 2 nd gen CCA. (F) Volcano plot showing the results of a co-IP/MS experiment using a specific antibody that binds AP2B1. Only proteins that are also members of the STRING interaction network in (E) are shown. Statistics: two sample Student’s t-test p < 0.05. Refers to Fig. S2E . (G) Venn diagrams comparing the total number of predicted kinase PPIs of 1 st predicted kinase vs. 1 st – 10 th predicted kinase, as was determined by 2 nd gen CCA in the NB cell lines SK-N-SH and SH-SY5Y.
    Figure Legend Snippet: Re-defining the selection criteria for the CCA. (A) Parameter scanning experiment determining the CCA score (SCCA) for kinase PPIs predicted by our CCA in the SK-N-SH cell line. Increasingly stringent Student’s t-test log2 FC and p-value cut-off criteria were applied and only kinases or non-kinases fulfilling these criteria were used for CCA. Statistics: two sample Student’s t-test, range of log2 FC ≥ 0 to ≤ 5, and p ≥ 0 to ≤ 0.001. Refers to Fig. S2A . (B) Plotting the SCCA for varying log2 FC cut-offs and p-Value cut-offs against one another identified optimal mixed cut-off criteria for kinases input into our CCA. Refers to Fig. S2B . (C) Venn diagrams showing the overlap of reported kinase PPIs that were predicted by our 1 st gen CCA algorithm and PPIs predicted by our 2 nd gen CCA algorithm. Both 1 st and 2 nd gen CCA used the same diaPASEF kinobead AP-MS data from the two NB cell lines SK-N-SH and SH-SY5Y as the input. Refers to Table S1 . (D) Heatmap showing the %TDR for PPIs achieved by our 2 nd gen CCA separated into 0.05-unit intervals of the CCA Pearson’s r-value for the 1 st through 10 th predicted kinase interactor of a non-kinase protein. The %TDR reflects the percentage of BioGRID-reported divided by BioGRID-unreported PPIs. Refers to Fig. S2C . (E) STRING network for interaction partners of the kinases AAK1, BMP2K, and BCR, as predicted by 2 nd gen CCA. (F) Volcano plot showing the results of a co-IP/MS experiment using a specific antibody that binds AP2B1. Only proteins that are also members of the STRING interaction network in (E) are shown. Statistics: two sample Student’s t-test p < 0.05. Refers to Fig. S2E . (G) Venn diagrams comparing the total number of predicted kinase PPIs of 1 st predicted kinase vs. 1 st – 10 th predicted kinase, as was determined by 2 nd gen CCA in the NB cell lines SK-N-SH and SH-SY5Y.

    Techniques Used: Selection, Co-Immunoprecipitation Assay

    Related Articles

    Selection:

    Article Title: diaPASEF-Powered Chemoproteomics Enables Deep Kinome Interaction Profiling
    Article Snippet: Antibodies used were AAK1 (E8M3P) Rabbit mAb (Cell Signaling Technology, CST, #61527) and beta 2 Adaptin (AP2B1) pAb (Novus Biologicals, # NBP3- 29580).

    Co-Immunoprecipitation Assay:

    Article Title: diaPASEF-Powered Chemoproteomics Enables Deep Kinome Interaction Profiling
    Article Snippet: Antibodies used were AAK1 (E8M3P) Rabbit mAb (Cell Signaling Technology, CST, #61527) and beta 2 Adaptin (AP2B1) pAb (Novus Biologicals, # NBP3- 29580).



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    beta 2 adaptin ap2b1 pab  (Novus Biologicals)
    92
    Novus Biologicals beta 2 adaptin ap2b1 pab
    Re-defining the selection criteria for the CCA. (A) Parameter scanning experiment determining the CCA score (SCCA) for kinase PPIs predicted by our CCA in the SK-N-SH cell line. Increasingly stringent Student’s t-test log2 FC and p-value cut-off criteria were applied and only kinases or non-kinases fulfilling these criteria were used for CCA. Statistics: two sample Student’s t-test, range of log2 FC ≥ 0 to ≤ 5, and p ≥ 0 to ≤ 0.001. Refers to Fig. S2A . (B) Plotting the SCCA for varying log2 FC cut-offs and p-Value cut-offs against one another identified optimal mixed cut-off criteria for kinases input into our CCA. Refers to Fig. S2B . (C) Venn diagrams showing the overlap of reported kinase PPIs that were predicted by our 1 st gen CCA algorithm and PPIs predicted by our 2 nd gen CCA algorithm. Both 1 st and 2 nd gen CCA used the same diaPASEF kinobead AP-MS data from the two NB cell lines SK-N-SH and SH-SY5Y as the input. Refers to Table S1 . (D) Heatmap showing the %TDR for PPIs achieved by our 2 nd gen CCA separated into 0.05-unit intervals of the CCA Pearson’s r-value for the 1 st through 10 th predicted kinase interactor of a non-kinase protein. The %TDR reflects the percentage of BioGRID-reported divided by BioGRID-unreported PPIs. Refers to Fig. S2C . (E) STRING network for interaction partners of the kinases AAK1, BMP2K, and BCR, as predicted by 2 nd gen CCA. (F) Volcano plot showing the results of a co-IP/MS experiment using a specific antibody that binds <t>AP2B1.</t> Only proteins that are also members of the STRING interaction network in (E) are shown. Statistics: two sample Student’s t-test p < 0.05. Refers to Fig. S2E . (G) Venn diagrams comparing the total number of predicted kinase PPIs of 1 st predicted kinase vs. 1 st – 10 th predicted kinase, as was determined by 2 nd gen CCA in the NB cell lines SK-N-SH and SH-SY5Y.
    Beta 2 Adaptin Ap2b1 Pab, supplied by Novus Biologicals, used in various techniques. Bioz Stars score: 92/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/product/beta+2+adaptin+ap2b1+pab/Beta+2+Adaptin+Antibody/bio_rxiv__2024__11__22__624841-194-13-18
    Average 92 stars, based on 1 article reviews
    beta 2 adaptin ap2b1 pab - by Bioz Stars, 2026-10
    92/100 stars
    		  Buy from Supplier

    Image Search Results


    Re-defining the selection criteria for the CCA. (A) Parameter scanning experiment determining the CCA score (SCCA) for kinase PPIs predicted by our CCA in the SK-N-SH cell line. Increasingly stringent Student’s t-test log2 FC and p-value cut-off criteria were applied and only kinases or non-kinases fulfilling these criteria were used for CCA. Statistics: two sample Student’s t-test, range of log2 FC ≥ 0 to ≤ 5, and p ≥ 0 to ≤ 0.001. Refers to Fig. S2A . (B) Plotting the SCCA for varying log2 FC cut-offs and p-Value cut-offs against one another identified optimal mixed cut-off criteria for kinases input into our CCA. Refers to Fig. S2B . (C) Venn diagrams showing the overlap of reported kinase PPIs that were predicted by our 1 st gen CCA algorithm and PPIs predicted by our 2 nd gen CCA algorithm. Both 1 st and 2 nd gen CCA used the same diaPASEF kinobead AP-MS data from the two NB cell lines SK-N-SH and SH-SY5Y as the input. Refers to Table S1 . (D) Heatmap showing the %TDR for PPIs achieved by our 2 nd gen CCA separated into 0.05-unit intervals of the CCA Pearson’s r-value for the 1 st through 10 th predicted kinase interactor of a non-kinase protein. The %TDR reflects the percentage of BioGRID-reported divided by BioGRID-unreported PPIs. Refers to Fig. S2C . (E) STRING network for interaction partners of the kinases AAK1, BMP2K, and BCR, as predicted by 2 nd gen CCA. (F) Volcano plot showing the results of a co-IP/MS experiment using a specific antibody that binds AP2B1. Only proteins that are also members of the STRING interaction network in (E) are shown. Statistics: two sample Student’s t-test p < 0.05. Refers to Fig. S2E . (G) Venn diagrams comparing the total number of predicted kinase PPIs of 1 st predicted kinase vs. 1 st – 10 th predicted kinase, as was determined by 2 nd gen CCA in the NB cell lines SK-N-SH and SH-SY5Y.

    Journal: bioRxiv

    Article Title: diaPASEF-Powered Chemoproteomics Enables Deep Kinome Interaction Profiling

    doi: 10.1101/2024.11.22.624841

    Figure Lengend Snippet: Re-defining the selection criteria for the CCA. (A) Parameter scanning experiment determining the CCA score (SCCA) for kinase PPIs predicted by our CCA in the SK-N-SH cell line. Increasingly stringent Student’s t-test log2 FC and p-value cut-off criteria were applied and only kinases or non-kinases fulfilling these criteria were used for CCA. Statistics: two sample Student’s t-test, range of log2 FC ≥ 0 to ≤ 5, and p ≥ 0 to ≤ 0.001. Refers to Fig. S2A . (B) Plotting the SCCA for varying log2 FC cut-offs and p-Value cut-offs against one another identified optimal mixed cut-off criteria for kinases input into our CCA. Refers to Fig. S2B . (C) Venn diagrams showing the overlap of reported kinase PPIs that were predicted by our 1 st gen CCA algorithm and PPIs predicted by our 2 nd gen CCA algorithm. Both 1 st and 2 nd gen CCA used the same diaPASEF kinobead AP-MS data from the two NB cell lines SK-N-SH and SH-SY5Y as the input. Refers to Table S1 . (D) Heatmap showing the %TDR for PPIs achieved by our 2 nd gen CCA separated into 0.05-unit intervals of the CCA Pearson’s r-value for the 1 st through 10 th predicted kinase interactor of a non-kinase protein. The %TDR reflects the percentage of BioGRID-reported divided by BioGRID-unreported PPIs. Refers to Fig. S2C . (E) STRING network for interaction partners of the kinases AAK1, BMP2K, and BCR, as predicted by 2 nd gen CCA. (F) Volcano plot showing the results of a co-IP/MS experiment using a specific antibody that binds AP2B1. Only proteins that are also members of the STRING interaction network in (E) are shown. Statistics: two sample Student’s t-test p < 0.05. Refers to Fig. S2E . (G) Venn diagrams comparing the total number of predicted kinase PPIs of 1 st predicted kinase vs. 1 st – 10 th predicted kinase, as was determined by 2 nd gen CCA in the NB cell lines SK-N-SH and SH-SY5Y.

    Article Snippet: Antibodies used were AAK1 (E8M3P) Rabbit mAb (Cell Signaling Technology, CST, #61527) and beta 2 Adaptin (AP2B1) pAb (Novus Biologicals, # NBP3- 29580).

    Techniques: Selection, Co-Immunoprecipitation Assay