H1 Receptors

Our previously published full proteome data around the CRC65 cell line panel7 have the accession code PXD005354

Our previously published full proteome data around the CRC65 cell line panel7 have the accession code PXD005354.?Source data are provided with this paper. Abstract Integrated analysis of genomes, transcriptomes, proteomes and drug responses of cancer cell lines (CCLs) is an emerging approach to uncover molecular mechanisms of drug action. of genomes, transcriptomes, proteomes and drug responses of cancer cell lines (CCLs) is an emerging approach to uncover molecular mechanisms of drug action. We extend this paradigm to measuring proteome activity landscapes by acquiring and integrating quantitative data for 10,000 proteins and 55,000 phosphorylation sites (p-sites) from 125 CCLs. These data are used to contextualize proteins and p-sites and predict drug sensitivity. For example, we find that Progesterone Receptor (PGR) phosphorylation is associated with sensitivity to drugs modulating estrogen signaling such as Raloxifene. We also demonstrate that Adenylate kinase isoenzyme 1 (AK1) inactivates antimetabolites like Cytarabine. Consequently, high AK1 levels correlate with poor survival of Cytarabine-treated acute myeloid leukemia patients, qualifying AK1 as a patient stratification marker and possibly as a drug target. We provide an interactive web application termed ATLANTiC (http://atlantic.proteomics.wzw.tum.de), which enables the community to explore the thousands of novel functional associations generated by this work. gene fusion14 and high ALK activity in SR cells (Fig.?2d) and C10 cells (Supplementary Fig.?3B) that carry the and gene fusions, respectively15,16. More globally, such landscapes efficiently visualize the very large molecular heterogeneity of cancer cell proteomes and phosphoproteomes, which likely reflect their heterogeneous phenotypic characteristics. Open in a separate window Fig. 2 Activity landscapes of pathways and kinases functionalize proteins/p-sites.a Activity landscape of cellular pathways for the CRC65 panel ((Fig.?7d) in Cytarabine-sensitive Jurkat cells renders the cells more resistant (Fig.?7e). To test if this phenomenon may be relevant in clinical practice, we analyzed a cohort of 79 Cytarabine-treated AML patients for AK1 expression using immunohistochemistry (tumor samples were taken at diagnosis before therapy). We found that patients with low AK1 expression (IHC staining scores of 0 and 1; Supplementary Methods) have a very significantly higher 4-year survival probability than patients with high AK1 expression (IHC staining scores of 2 and 3; Fig.?7f). High abundance of AK1 is a significant predictor for shorter survival even when potential confounding factors such as the mutational status of FLT3 or NPM are included in Cox proportional-hazards models (Supplementary Data?9). We performed a similar analysis for AK1 in the TCGA dataset on the transcript level using www.oncolnc.org51. When splitting the TCGA AML cohort according to the expression of mRNA into high and low expressing groups in the same ratio as our AML cohort, the findings for AK1 are confirmed at the transcript level. These cAMPS-Sp, triethylammonium salt results indicate that AK1 may dephosphorylate nucleoside analogue drugs in vivo, thereby rendering them less effective. As such, AK1 expression would appear to be an attractive patient stratification biomarker that may enable physicians to administer appropriate drug doses. AK1 may also represent a drug target for combination with nucleoside analogue chemotherapy. Open in a separate window Fig. 7 High AK1 levels signify chemotherapy resistance in AML.a Correlation analysis (Supplementary Methods) identified AK1 protein expression to be strongly negatively correlated with response to antimetabolite drugs including Zalcitabine and Nelarabine. b AK1 expression (left panel) and drug-sensitivity analysis of Zalcitabine, Nelarabine and Cytarabine in the NCI60 panel (right three panels; thanks the anonymous reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available. Publishers note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. These authors contributed equally: Martin Frejno, Chen Meng, Benjamin Ruprecht. Supplementary information Supplementary information is available for this paper at 10.1038/s41467-020-17336-9..Consequently, high AK1 levels correlate with poor survival of Cytarabine-treated acute myeloid leukemia patients, qualifying AK1 as a patient stratification marker and possibly as a drug target. previously published full proteome data on the CRC65 cell line panel7 have the accession code PXD005354.?Source data are provided with this paper. Abstract Integrated analysis of genomes, transcriptomes, proteomes and drug responses of cancer cell lines (CCLs) is an emerging approach to uncover molecular mechanisms of drug action. We extend this paradigm to measuring proteome activity landscapes by acquiring and integrating quantitative data for 10,000 proteins and 55,000 phosphorylation sites (p-sites) from 125 CCLs. These data are used to contextualize proteins and p-sites and predict drug sensitivity. For example, we find that Progesterone Receptor (PGR) phosphorylation is associated cAMPS-Sp, triethylammonium salt with sensitivity to drugs modulating estrogen signaling such as Raloxifene. We also demonstrate that Adenylate kinase isoenzyme 1 (AK1) inactivates antimetabolites like Cytarabine. Consequently, high AK1 levels correlate with poor survival of Cytarabine-treated acute myeloid leukemia patients, qualifying AK1 as a patient stratification marker and possibly as a drug target. We provide an interactive web application termed ATLANTiC (http://atlantic.proteomics.wzw.tum.de), which enables the community to explore the thousands of novel functional associations generated by this work. gene fusion14 and high ALK activity in SR cells (Fig.?2d) and C10 cells (Supplementary Fig.?3B) that carry the and gene fusions, respectively15,16. More globally, such landscapes efficiently visualize the very large molecular heterogeneity of cancer cell proteomes and phosphoproteomes, which likely reflect their heterogeneous phenotypic characteristics. Open in a separate window Fig. 2 Activity landscapes of pathways and kinases functionalize proteins/p-sites.a Activity landscape of cellular pathways for the CRC65 panel ((Fig.?7d) in Cytarabine-sensitive Jurkat cells renders the cells more resistant (Fig.?7e). To test if this phenomenon may be relevant in clinical practice, we analyzed a cohort of 79 Cytarabine-treated AML patients for AK1 expression using immunohistochemistry (tumor samples were taken at diagnosis before therapy). We found that patients with low AK1 expression (IHC staining scores of 0 and 1; Supplementary Methods) have a very significantly higher 4-year survival probability than patients with high AK1 expression (IHC staining scores of 2 and 3; Fig.?7f). High abundance of AK1 is a significant predictor for shorter survival even when potential confounding factors such as the mutational status of FLT3 or NPM are included in Cox proportional-hazards models (Supplementary Data?9). We performed a similar analysis for AK1 in the TCGA dataset on the transcript level using www.oncolnc.org51. When splitting the TCGA AML cohort according to the expression of mRNA into high and low expressing groups in the same ratio as our AML cohort, the findings for AK1 are confirmed at the transcript level. These results indicate that AK1 may dephosphorylate nucleoside analogue drugs in vivo, thereby rendering them less effective. As such, AK1 expression would appear to be an attractive patient stratification biomarker that CTNNB1 may enable physicians to administer appropriate drug doses. AK1 may also represent a drug target for combination with nucleoside analogue chemotherapy. Open in a separate window Fig. 7 High AK1 levels signify chemotherapy resistance in AML.a Correlation analysis (Supplementary Methods) identified AK1 protein expression to be strongly negatively correlated with response to antimetabolite drugs including Zalcitabine and Nelarabine. b AK1 expression (left panel) and drug-sensitivity analysis of Zalcitabine, Nelarabine and Cytarabine in the NCI60 panel (right three panels; thanks the anonymous cAMPS-Sp, triethylammonium salt reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available. Publishers note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. These authors contributed equally: Martin Frejno, Chen Meng, Benjamin Ruprecht. Supplementary information Supplementary information is available for this paper at 10.1038/s41467-020-17336-9..