kinexus antibody arrays (Kinexus Bioinformatics Corporation)
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Kinexus Bioinformatics Corporation
kinexus antibody arrays
Kinexus Antibody Arrays, supplied by Kinexus Bioinformatics Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/kinexus+antibody+arrays/kinexus+antibody+microarray/pmc09403329__DataSheet_1-0-8-9
Average 90 stars, based on 1 article reviews
Kinexus Antibody Arrays, supplied by Kinexus Bioinformatics Corporation, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/kinexus+antibody+arrays/kinexus+antibody+microarray/pmc09403329__DataSheet_1-0-8-9
Average 90 stars, based on 1 article reviews
kinexus antibody arrays - by Bioz Stars,
2026-09
90/100 stars
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Expressing:Article Title: CD97 is a critical regulator of acute myeloid leukemia stem cell function Article Snippet: .. Table S1 lists multiple pathways associated with CD97 expression in CD97-KD HL60 versus CTRL s-shRNA infected cells, 5 d after infection, as determined by Article Title: CD97 is a critical regulator of acute myeloid leukemia stem cell function Article Snippet: .. CD97 expression is associated with multiple signaling pathways Most down-regulated proteins Most up-regulated proteins Target protein Phosphorylation site Z ratio Target protein Phosphorylation site Z ratio STAT1 S727 −12.59 Caveolin 2 S36 7.42 HSP27 S86 −8.67 ZIPK Panspecific 5.27 HSP90b S254 −3.93 Trail Panspecific 4.28 LIMK1 Panspecific −3.58 Tyro10 Panspecific 3.84 4G10 pTyr −3.20 Rad17 S645 2.95 GATA1 S142 −2.86 eIF2a S52 2.78 Tau S400 −2.84 Rb T821 2.73 BRCA1 S1497 −2.82 Tau S422 2.67 IGF1R Y1165/Y1166 −2.48 Tau S199/202 2.65 Akt1 (PKBa) S473 −2.43 BCL Panspecific 2.61 PKCe S729 −2.31 Rb S807+S811 2.52 PKCd S664 −2.12 Catenin b1 Panspecific 2.47 Cyclin B1 S147 −2.12 RIP2/RICK Panspecific 2.47 Catenin a S641 −2.09 RSK1/2 S363/S369 2.34 Rac1/cdc42 S71 −2.02 Cdc34 Panspecific 2.32 NMDAR2B Y1472 −1.94 Elk1 S383 2.09 PKR1 T446 −1.90 NFKB p65 S529 1.93 Mnk2 Panspecific −1.77 Mnk1 T197+T202 1.79 PKCb1/2 T500 −1.76 Hsp47 Panspecific 1.76 CREB1 S126/S133 −1.74 Ephrin-B2 Y316 1.75 ERK1 Y204 −1.70 NFKB p65 S536 1.73 ROCK-IROCKb Panspecific −1.59 Elk1 S389 1.69 ERK1 T207-Y204 −1.53 RelB Panspecific 1.66 IGF1R Y1280 −1.50 MYPT1 T696 1.60 PITSLRE Panspecific −1.45 STAT1 Y701 1.59 VAV1 Y826 −1.44 CDK4 T172 1.51 MAPKAPK2 T334 −1.44 Myc T58 1.51 The top most down-regulated or up-regulated proteins with a Z-ratio less than −1.4 or >1.4 in CD97-KD HL60 versus CTRL s-shRNA infected cells, 5 d after infection, as determined by Article Title: Stable Phenotypic Changes of the Host T Cells Are Essential to the Long-Term Stability of Latent HIV-1 Infection Article Snippet: .. Comparison of the kinase expression and phosphorylation states found in the lysates of Jurkat T cells and CA5 T cells by using Infection:Article Title: CD97 is a critical regulator of acute myeloid leukemia stem cell function Article Snippet: .. Table S1 lists multiple pathways associated with CD97 expression in CD97-KD HL60 versus CTRL s-shRNA infected cells, 5 d after infection, as determined by Article Title: CD97 is a critical regulator of acute myeloid leukemia stem cell function Article Snippet: .. CD97 expression is associated with multiple signaling pathways Most down-regulated proteins Most up-regulated proteins Target protein Phosphorylation site Z ratio Target protein Phosphorylation site Z ratio STAT1 S727 −12.59 Caveolin 2 S36 7.42 HSP27 S86 −8.67 ZIPK Panspecific 5.27 HSP90b S254 −3.93 Trail Panspecific 4.28 LIMK1 Panspecific −3.58 Tyro10 Panspecific 3.84 4G10 pTyr −3.20 Rad17 S645 2.95 GATA1 S142 −2.86 eIF2a S52 2.78 Tau S400 −2.84 Rb T821 2.73 BRCA1 S1497 −2.82 Tau S422 2.67 IGF1R Y1165/Y1166 −2.48 Tau S199/202 2.65 Akt1 (PKBa) S473 −2.43 BCL Panspecific 2.61 PKCe S729 −2.31 Rb S807+S811 2.52 PKCd S664 −2.12 Catenin b1 Panspecific 2.47 Cyclin B1 S147 −2.12 RIP2/RICK Panspecific 2.47 Catenin a S641 −2.09 RSK1/2 S363/S369 2.34 Rac1/cdc42 S71 −2.02 Cdc34 Panspecific 2.32 NMDAR2B Y1472 −1.94 Elk1 S383 2.09 PKR1 T446 −1.90 NFKB p65 S529 1.93 Mnk2 Panspecific −1.77 Mnk1 T197+T202 1.79 PKCb1/2 T500 −1.76 Hsp47 Panspecific 1.76 CREB1 S126/S133 −1.74 Ephrin-B2 Y316 1.75 ERK1 Y204 −1.70 NFKB p65 S536 1.73 ROCK-IROCKb Panspecific −1.59 Elk1 S389 1.69 ERK1 T207-Y204 −1.53 RelB Panspecific 1.66 IGF1R Y1280 −1.50 MYPT1 T696 1.60 PITSLRE Panspecific −1.45 STAT1 Y701 1.59 VAV1 Y826 −1.44 CDK4 T172 1.51 MAPKAPK2 T334 −1.44 Myc T58 1.51 The top most down-regulated or up-regulated proteins with a Z-ratio less than −1.4 or >1.4 in CD97-KD HL60 versus CTRL s-shRNA infected cells, 5 d after infection, as determined by Article Title: Stable Phenotypic Changes of the Host T Cells Are Essential to the Long-Term Stability of Latent HIV-1 Infection Article Snippet: .. Although we used only Significance Assay:Article Title: Global signalling network analysis of luminal T47D breast cancer cells in response to progesterone Article Snippet: .. Fig. S1 A B A B C Fig. FACS:Article Title: ST8SIA1 Regulates Tumor Growth and Metastasis in TNBC by Activating the FAK–AKT–mTOR Signaling Pathway Article Snippet: .. GD2 + and GD2 - SUM159 cells were FACS-sorted (Fig 4A) and the cell lysates were analyzed using Article Title: ST8SIA1 regulates tumor growth and metastasis in TNBC by activating the FAK-AKT-mTOR signaling pathway Article Snippet: .. GD2 + and GD2 - SUM159 cells were FACS-sorted ( ) and the cell lysates were analyzed using Protein-Protein interactions:Article Title: CD97 is a critical regulator of acute myeloid leukemia stem cell function Article Snippet: .. CD97 expression is associated with multiple signaling pathways Most down-regulated proteins Most up-regulated proteins Target protein Phosphorylation site Z ratio Target protein Phosphorylation site Z ratio STAT1 S727 −12.59 Caveolin 2 S36 7.42 HSP27 S86 −8.67 ZIPK Panspecific 5.27 HSP90b S254 −3.93 Trail Panspecific 4.28 LIMK1 Panspecific −3.58 Tyro10 Panspecific 3.84 4G10 pTyr −3.20 Rad17 S645 2.95 GATA1 S142 −2.86 eIF2a S52 2.78 Tau S400 −2.84 Rb T821 2.73 BRCA1 S1497 −2.82 Tau S422 2.67 IGF1R Y1165/Y1166 −2.48 Tau S199/202 2.65 Akt1 (PKBa) S473 −2.43 BCL Panspecific 2.61 PKCe S729 −2.31 Rb S807+S811 2.52 PKCd S664 −2.12 Catenin b1 Panspecific 2.47 Cyclin B1 S147 −2.12 RIP2/RICK Panspecific 2.47 Catenin a S641 −2.09 RSK1/2 S363/S369 2.34 Rac1/cdc42 S71 −2.02 Cdc34 Panspecific 2.32 NMDAR2B Y1472 −1.94 Elk1 S383 2.09 PKR1 T446 −1.90 NFKB p65 S529 1.93 Mnk2 Panspecific −1.77 Mnk1 T197+T202 1.79 PKCb1/2 T500 −1.76 Hsp47 Panspecific 1.76 CREB1 S126/S133 −1.74 Ephrin-B2 Y316 1.75 ERK1 Y204 −1.70 NFKB p65 S536 1.73 ROCK-IROCKb Panspecific −1.59 Elk1 S389 1.69 ERK1 T207-Y204 −1.53 RelB Panspecific 1.66 IGF1R Y1280 −1.50 MYPT1 T696 1.60 PITSLRE Panspecific −1.45 STAT1 Y701 1.59 VAV1 Y826 −1.44 CDK4 T172 1.51 MAPKAPK2 T334 −1.44 Myc T58 1.51 The top most down-regulated or up-regulated proteins with a Z-ratio less than −1.4 or >1.4 in CD97-KD HL60 versus CTRL s-shRNA infected cells, 5 d after infection, as determined by Phospho-proteomics:Article Title: CD97 is a critical regulator of acute myeloid leukemia stem cell function Article Snippet: .. CD97 expression is associated with multiple signaling pathways Most down-regulated proteins Most up-regulated proteins Target protein Phosphorylation site Z ratio Target protein Phosphorylation site Z ratio STAT1 S727 −12.59 Caveolin 2 S36 7.42 HSP27 S86 −8.67 ZIPK Panspecific 5.27 HSP90b S254 −3.93 Trail Panspecific 4.28 LIMK1 Panspecific −3.58 Tyro10 Panspecific 3.84 4G10 pTyr −3.20 Rad17 S645 2.95 GATA1 S142 −2.86 eIF2a S52 2.78 Tau S400 −2.84 Rb T821 2.73 BRCA1 S1497 −2.82 Tau S422 2.67 IGF1R Y1165/Y1166 −2.48 Tau S199/202 2.65 Akt1 (PKBa) S473 −2.43 BCL Panspecific 2.61 PKCe S729 −2.31 Rb S807+S811 2.52 PKCd S664 −2.12 Catenin b1 Panspecific 2.47 Cyclin B1 S147 −2.12 RIP2/RICK Panspecific 2.47 Catenin a S641 −2.09 RSK1/2 S363/S369 2.34 Rac1/cdc42 S71 −2.02 Cdc34 Panspecific 2.32 NMDAR2B Y1472 −1.94 Elk1 S383 2.09 PKR1 T446 −1.90 NFKB p65 S529 1.93 Mnk2 Panspecific −1.77 Mnk1 T197+T202 1.79 PKCb1/2 T500 −1.76 Hsp47 Panspecific 1.76 CREB1 S126/S133 −1.74 Ephrin-B2 Y316 1.75 ERK1 Y204 −1.70 NFKB p65 S536 1.73 ROCK-IROCKb Panspecific −1.59 Elk1 S389 1.69 ERK1 T207-Y204 −1.53 RelB Panspecific 1.66 IGF1R Y1280 −1.50 MYPT1 T696 1.60 PITSLRE Panspecific −1.45 STAT1 Y701 1.59 VAV1 Y826 −1.44 CDK4 T172 1.51 MAPKAPK2 T334 −1.44 Myc T58 1.51 The top most down-regulated or up-regulated proteins with a Z-ratio less than −1.4 or >1.4 in CD97-KD HL60 versus CTRL s-shRNA infected cells, 5 d after infection, as determined by Article Title: Stable Phenotypic Changes of the Host T Cells Are Essential to the Long-Term Stability of Latent HIV-1 Infection Article Snippet: .. Comparison of the kinase expression and phosphorylation states found in the lysates of Jurkat T cells and CA5 T cells by using Generated:Article Title: Stable Phenotypic Changes of the Host T Cells Are Essential to the Long-Term Stability of Latent HIV-1 Infection Article Snippet: .. Although we used only Comparison:Article Title: Stable Phenotypic Changes of the Host T Cells Are Essential to the Long-Term Stability of Latent HIV-1 Infection Article Snippet: .. Comparison of the kinase expression and phosphorylation states found in the lysates of Jurkat T cells and CA5 T cells by using other:Article Title: CD151 expression is associated with a hyperproliferative T cell phenotype Article Snippet: To reduce unspecific background signals lysates from the CD151− T cell populations or the CD151+ T cell populations, respectively, were pooled prior to loading the lysate mixes on |