Novel Functions of Death-Associated Protein Kinases Through Mitogen-Activated Protein Kinase-Related Signals
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Supplemental Information to Mammadova-Bach Et Al., “Laminin Α1 Orchestrates VEGFA Functions in the Ecosystem of Colorectal Carcinogenesis”
Supplemental information to Mammadova-Bach et al., “Laminin α1 orchestrates VEGFA functions in the ecosystem of colorectal carcinogenesis” Supplemental material and methods Cloning of the villin-LMα1 vector The plasmid pBS-villin-promoter containing the 3.5 Kb of the murine villin promoter, the first non coding exon, 5.5 kb of the first intron and 15 nucleotides of the second villin exon, was generated by S. Robine (Institut Curie, Paris, France). The EcoRI site in the multi cloning site was destroyed by fill in ligation with T4 polymerase according to the manufacturer`s instructions (New England Biolabs, Ozyme, Saint Quentin en Yvelines, France). Site directed mutagenesis (GeneEditor in vitro Site-Directed Mutagenesis system, Promega, Charbonnières-les-Bains, France) was then used to introduce a BsiWI site before the start codon of the villin coding sequence using the 5’ phosphorylated primer: 5’CCTTCTCCTCTAGGCTCGCGTACGATGACGTCGGACTTGCGG3’. A double strand annealed oligonucleotide, 5’GGCCGGACGCGTGAATTCGTCGACGC3’ and 5’GGCCGCGTCGACGAATTCACGC GTCC3’ containing restriction site for MluI, EcoRI and SalI were inserted in the NotI site (present in the multi cloning site), generating the plasmid pBS-villin-promoter-MES. The SV40 polyA region of the pEGFP plasmid (Clontech, Ozyme, Saint Quentin Yvelines, France) was amplified by PCR using primers 5’GGCGCCTCTAGATCATAATCAGCCATA3’ and 5’GGCGCCCTTAAGATACATTGATGAGTT3’ before subcloning into the pGEMTeasy vector (Promega, Charbonnières-les-Bains, France). After EcoRI digestion, the SV40 polyA fragment was purified with the NucleoSpin Extract II kit (Machery-Nagel, Hoerdt, France) and then subcloned into the EcoRI site of the plasmid pBS-villin-promoter-MES. Site directed mutagenesis was used to introduce a BsiWI site (5’ phosphorylated AGCGCAGGGAGCGGCGGCCGTACGATGCGCGGCAGCGGCACG3’) before the initiation codon and a MluI site (5’ phosphorylated 1 CCCGGGCCTGAGCCCTAAACGCGTGCCAGCCTCTGCCCTTGG3’) after the stop codon in the full length cDNA coding for the mouse LMα1 in the pCIS vector (kindly provided by P. -
Gene Symbol Gene Description ACVR1B Activin a Receptor, Type IB
Table S1. Kinase clones included in human kinase cDNA library for yeast two-hybrid screening Gene Symbol Gene Description ACVR1B activin A receptor, type IB ADCK2 aarF domain containing kinase 2 ADCK4 aarF domain containing kinase 4 AGK multiple substrate lipid kinase;MULK AK1 adenylate kinase 1 AK3 adenylate kinase 3 like 1 AK3L1 adenylate kinase 3 ALDH18A1 aldehyde dehydrogenase 18 family, member A1;ALDH18A1 ALK anaplastic lymphoma kinase (Ki-1) ALPK1 alpha-kinase 1 ALPK2 alpha-kinase 2 AMHR2 anti-Mullerian hormone receptor, type II ARAF v-raf murine sarcoma 3611 viral oncogene homolog 1 ARSG arylsulfatase G;ARSG AURKB aurora kinase B AURKC aurora kinase C BCKDK branched chain alpha-ketoacid dehydrogenase kinase BMPR1A bone morphogenetic protein receptor, type IA BMPR2 bone morphogenetic protein receptor, type II (serine/threonine kinase) BRAF v-raf murine sarcoma viral oncogene homolog B1 BRD3 bromodomain containing 3 BRD4 bromodomain containing 4 BTK Bruton agammaglobulinemia tyrosine kinase BUB1 BUB1 budding uninhibited by benzimidazoles 1 homolog (yeast) BUB1B BUB1 budding uninhibited by benzimidazoles 1 homolog beta (yeast) C9orf98 chromosome 9 open reading frame 98;C9orf98 CABC1 chaperone, ABC1 activity of bc1 complex like (S. pombe) CALM1 calmodulin 1 (phosphorylase kinase, delta) CALM2 calmodulin 2 (phosphorylase kinase, delta) CALM3 calmodulin 3 (phosphorylase kinase, delta) CAMK1 calcium/calmodulin-dependent protein kinase I CAMK2A calcium/calmodulin-dependent protein kinase (CaM kinase) II alpha CAMK2B calcium/calmodulin-dependent -
Outlier Kinase Expression by RNA Sequencing As Targets for Precision Therapy
Published OnlineFirst February 5, 2013; DOI: 10.1158/2159-8290.CD-12-0336 RESEARCH ARTICLE Outlier Kinase Expression by RNA Sequencing as Targets for Precision Therapy Vishal Kothari 1 , Iris Wei 2 , Sunita Shankar 1 , 3 , Shanker Kalyana-Sundaram 1 , 3 , 8 , Lidong Wang 2 , Linda W. Ma 1 , Pankaj Vats 1 , Catherine S. Grasso 1 , Dan R. Robinson 1 , 3 , Yi-Mi Wu 1 , 3 , Xuhong Cao 7 , Diane M. Simeone 2 , 4 , 5 , Arul M. Chinnaiyan 1 , 3 , 4 , 6 , 7 , and Chandan Kumar-Sinha 1 , 3 ABSTRACT Protein kinases represent the most effective class of therapeutic targets in cancer; therefore, determination of kinase aberrations is a major focus of cancer genomic studies. Here, we analyzed transcriptome sequencing data from a compendium of 482 cancer and benign samples from 25 different tissue types, and defi ned distinct “outlier kinases” in individual breast and pancreatic cancer samples, based on highest levels of absolute and differential expression. Frequent outlier kinases in breast cancer included therapeutic targets like ERBB2 and FGFR4 , distinct from MET , AKT2 , and PLK2 in pancreatic cancer. Outlier kinases imparted sample-specifi c depend- encies in various cell lines, as tested by siRNA knockdown and/or pharmacologic inhibition. Outlier expression of polo-like kinases was observed in a subset of KRAS -dependent pancreatic cancer cell lines, and conferred increased sensitivity to the pan-PLK inhibitor BI-6727. Our results suggest that outlier kinases represent effective precision therapeutic targets that are readily identifi able through RNA sequencing of tumors. SIGNIFICANCE: Various breast and pancreatic cancer cell lines display sensitivity to knockdown or pharmacologic inhibition of sample-specifi c outlier kinases identifi ed by high-throughput transcrip- tome sequencing. -
The Number of Genes
Table S1. The numbers of KD genes in each KD time The number The number The number The number Cell lines of genes of genes of genes of genes (96h) (120h) (144h) PC3 3980 3822 128 1725 A549 3724 3724 0 0 MCF7 3688 3471 0 1837 HT29 3665 3665 0 0 A375 3826 3826 0 0 HA1E 3801 3801 0 0 VCAP 4134 34 4121 0 HCC515 3522 3522 0 0 Table S2. The predicted results in the PC3 cell line on the LINCS II data id target rank A07563059 ADRB2 48 A12896037 ADRA2C 91 A13021932 YES1 77 PPM1B;PPP1CC;PPP2CA; A13254067 584;1326;297;171;3335 PTPN1;PPP2R5A A16347691 GMNN 2219 PIK3CB;MTOR;PIK3CA;PIK A28467416 18;10;9;13;8 3CG;PIK3CD A28545468 EHMT2;MAOB 14;67 A29520968 HSPB1 1770 A48881734 EZH2 1596 A52922642 CACNA1C 201 A64553394 ADRB2 155 A65730376 DOT1L 3764 A82035391 JUN 378 A82156122 DPP4 771 HRH1;HTR2C;CHRM3;CH A82772293 2756;2354;2808;2367 RM1 A86248581 CDA 1785 A92800748 TEK 459 A93093700 LMNA 1399 K00152668 RARB 105 K01577834 ADORA2A 525 K01674964 HRH1;BLM 31;1314 K02314383 AR 132 K03194791 PDE4D 30 K03390685 MAP2K1 77 K06762493 GMNN;APEX1 1523;2360 K07106112 ERBB4;ERBB2;EGFR 497;60;23 K07310275 AKT1;MTOR;PIK3CA 13;12;1 K07753030 RGS4;BLM 3736;3080 K08109215 BRD2;BRD3;BRD4 1413;2786;3 K08248804 XIAP 88 K08586861 TBXA2R;MBNL1 297;3428 K08832567 GMNN;CA12 2544;50 LMNA;NFKB1;APEX1;EH K08976401 1322;341;3206;123 MT2 K09372874 IMPDH2 232 K09711437 PLA2G2A 59 K10859802 GPR119 214 K11267252 RET;ALK 395;760 K12609457 LMNA 907 K13094524 BRD4 7 K13662825 CDK4;CDK9;CDK5;CDK1 34;58;13;18 K14704277 LMNA;BLM 1697;1238 K14870255 AXL 1696 K15170068 MAN2B1 1756 K15179879 -
14-3-3 Proteins Inactivate DAPK2 by Promoting Its Dimerization And
ARTICLE https://doi.org/10.1038/s42003-021-02518-y OPEN 14-3-3 proteins inactivate DAPK2 by promoting its dimerization and protecting key regulatory phosphosites ✉ ✉ Matej Horvath 1,2, Olivia Petrvalska1,2, Petr Herman 3, Veronika Obsilova 2 & Tomas Obsil 1,2 Death-associated protein kinase 2 (DAPK2) is a CaM-regulated Ser/Thr protein kinase, involved in apoptosis, autophagy, granulocyte differentiation and motility regulation, whose activity is controlled by autoinhibition, autophosphorylation, dimerization and interaction with scaffolding proteins 14-3-3. However, the structural basis of 14-3-3-mediated DAPK2 reg- ulation remains unclear. Here, we structurally and biochemically characterize the full-length 1234567890():,; human DAPK2:14-3-3 complex by combining several biophysical techniques. The results from our X-ray crystallographic analysis revealed that Thr369 phosphorylation at the DAPK2 C terminus creates a high-affinity canonical mode III 14-3-3-binding motif, further enhanced by the diterpene glycoside Fusicoccin A. Moreover, concentration-dependent DAPK2 dimerization is disrupted by Ca2+/CaM binding and stabilized by 14-3-3 binding in solution, thereby protecting the DAPK2 inhibitory autophosphorylation site Ser318 against depho- sphorylation and preventing Ca2+/CaM binding. Overall, our findings provide mechanistic insights into 14-3-3-mediated DAPK2 inhibition and highlight the potential of the DAPK2:14- 3-3 complex as a target for anti‐inflammatory therapies. 1 Department of Physical and Macromolecular Chemistry, Faculty of Science, Charles University, Prague, Czech Republic. 2 Department of Structural Biology of Signaling Proteins, Division BIOCEV, Institute of Physiology of the Czech Academy of Sciences, Vestec, Czech Republic. 3 Institute of Physics, Faculty of ✉ Mathematics and Physics, Charles University, Prague, Czech Republic. -
DAPK) Through a Lysosome-Dependent Degradation Pathway Yao Lin1, Paul Henderson1,2, Susanne Pettersson1, Jack Satsangi1, Ted Hupp1 and Craig Stevens1
Tuberous sclerosis-2 (TSC2) regulates the stability of death-associated protein kinase-1 (DAPK) through a lysosome-dependent degradation pathway Yao Lin1, Paul Henderson1,2, Susanne Pettersson1, Jack Satsangi1, Ted Hupp1 and Craig Stevens1 1 University of Edinburgh, Institute of Genetics and Molecular Medicine, UK 2 Department of Child Life and Health, University of Edinburgh, UK Keywords We previously identified a novel interaction between tuberous sclerosis-2 DAPK; degradation; lysosome; mTORC1; (TSC2) and death-associated protein kinase-1 (DAPK), the consequence TSC2 being that DAPK catalyses the inactivating phosphorylation of TSC2 to stimulate mammalian target of rapamycin complex 1 (mTORC1) activity. Correspondence C. Stevens, University of Edinburgh, We now report that TSC2 binding to DAPK promotes the degradation of Institute of Genetics and Molecular DAPK. We show that DAPK protein levels, but not gene expression, Medicine, Edinburgh, EH4 2XR, UK inversely correlate with TSC2 expression. Furthermore, altering mTORC1 Fax: +44 131 651 1085 activity does not affect DAPK levels, excluding indirect effects of TSC2 on Tel: +44 131 651 1025 DAPK protein levels through changes in mTORC1 translational control. E-mail: [email protected] We provide evidence that the C-terminus regulates TSC2 stability and is required for TSC2 to reduce DAPK protein levels. Importantly, using a (Received 28 July 2010, revised 7 October 2010, accepted 11 November 2010) GTPase-activating protein–dead missense mutation of TSC2, we demon- strate that the effect of TSC2 on DAPK is independent of GTPase-activat- doi:10.1111/j.1742-4658.2010.07959.x ing protein activity. TSC2 binds to the death domain of DAPK and we show that this interaction is required for TSC2 to reduce DAPK protein levels and half-life. -
Supplementary Table 1. in Vitro Side Effect Profiling Study for LDN/OSU-0212320. Neurotransmitter Related Steroids
Supplementary Table 1. In vitro side effect profiling study for LDN/OSU-0212320. Percent Inhibition Receptor 10 µM Neurotransmitter Related Adenosine, Non-selective 7.29% Adrenergic, Alpha 1, Non-selective 24.98% Adrenergic, Alpha 2, Non-selective 27.18% Adrenergic, Beta, Non-selective -20.94% Dopamine Transporter 8.69% Dopamine, D1 (h) 8.48% Dopamine, D2s (h) 4.06% GABA A, Agonist Site -16.15% GABA A, BDZ, alpha 1 site 12.73% GABA-B 13.60% Glutamate, AMPA Site (Ionotropic) 12.06% Glutamate, Kainate Site (Ionotropic) -1.03% Glutamate, NMDA Agonist Site (Ionotropic) 0.12% Glutamate, NMDA, Glycine (Stry-insens Site) 9.84% (Ionotropic) Glycine, Strychnine-sensitive 0.99% Histamine, H1 -5.54% Histamine, H2 16.54% Histamine, H3 4.80% Melatonin, Non-selective -5.54% Muscarinic, M1 (hr) -1.88% Muscarinic, M2 (h) 0.82% Muscarinic, Non-selective, Central 29.04% Muscarinic, Non-selective, Peripheral 0.29% Nicotinic, Neuronal (-BnTx insensitive) 7.85% Norepinephrine Transporter 2.87% Opioid, Non-selective -0.09% Opioid, Orphanin, ORL1 (h) 11.55% Serotonin Transporter -3.02% Serotonin, Non-selective 26.33% Sigma, Non-Selective 10.19% Steroids Estrogen 11.16% 1 Percent Inhibition Receptor 10 µM Testosterone (cytosolic) (h) 12.50% Ion Channels Calcium Channel, Type L (Dihydropyridine Site) 43.18% Calcium Channel, Type N 4.15% Potassium Channel, ATP-Sensitive -4.05% Potassium Channel, Ca2+ Act., VI 17.80% Potassium Channel, I(Kr) (hERG) (h) -6.44% Sodium, Site 2 -0.39% Second Messengers Nitric Oxide, NOS (Neuronal-Binding) -17.09% Prostaglandins Leukotriene, -
Deep Multiomics Profiling of Brain Tumors Identifies Signaling Networks
ARTICLE https://doi.org/10.1038/s41467-019-11661-4 OPEN Deep multiomics profiling of brain tumors identifies signaling networks downstream of cancer driver genes Hong Wang 1,2,3, Alexander K. Diaz3,4, Timothy I. Shaw2,5, Yuxin Li1,2,4, Mingming Niu1,4, Ji-Hoon Cho2, Barbara S. Paugh4, Yang Zhang6, Jeffrey Sifford1,4, Bing Bai1,4,10, Zhiping Wu1,4, Haiyan Tan2, Suiping Zhou2, Laura D. Hover4, Heather S. Tillman 7, Abbas Shirinifard8, Suresh Thiagarajan9, Andras Sablauer 8, Vishwajeeth Pagala2, Anthony A. High2, Xusheng Wang 2, Chunliang Li 6, Suzanne J. Baker4 & Junmin Peng 1,2,4 1234567890():,; High throughput omics approaches provide an unprecedented opportunity for dissecting molecular mechanisms in cancer biology. Here we present deep profiling of whole proteome, phosphoproteome and transcriptome in two high-grade glioma (HGG) mouse models driven by mutated RTK oncogenes, PDGFRA and NTRK1, analyzing 13,860 proteins and 30,431 phosphosites by mass spectrometry. Systems biology approaches identify numerous master regulators, including 41 kinases and 23 transcription factors. Pathway activity computation and mouse survival indicate the NTRK1 mutation induces a higher activation of AKT down- stream targets including MYC and JUN, drives a positive feedback loop to up-regulate multiple other RTKs, and confers higher oncogenic potency than the PDGFRA mutation. A mini-gRNA library CRISPR-Cas9 validation screening shows 56% of tested master regulators are important for the viability of NTRK-driven HGG cells, including TFs (Myc and Jun) and metabolic kinases (AMPKa1 and AMPKa2), confirming the validity of the multiomics inte- grative approaches, and providing novel tumor vulnerabilities. -
The P90 RSK Family Members: Common Functions and Isoform Specificity
Published OnlineFirst August 22, 2013; DOI: 10.1158/0008-5472.CAN-12-4448 Cancer Review Research The p90 RSK Family Members: Common Functions and Isoform Specificity Romain Lara, Michael J. Seckl, and Olivier E. Pardo Abstract The p90 ribosomal S6 kinases (RSK) are implicated in various cellular processes, including cell proliferation, survival, migration, and invasion. In cancer, RSKs modulate cell transformation, tumorigenesis, and metastasis. Indeed, changes in the expression of RSK isoforms have been reported in several malignancies, including breast, prostate, and lung cancers. Four RSK isoforms have been identified in humans on the basis of their high degree of sequence homology. Although this similarity suggests some functional redundancy between these proteins, an increasing body of evidence supports the existence of isoform-based specificity among RSKs in mediating particular cellular processes. This review briefly presents the similarities between RSK family members before focusing on the specific function of each of the isoforms and their involvement in cancer progression. Cancer Res; 73(17); 1–8. Ó2013 AACR. Introduction subsequently cloned throughout the Metazoan kingdom (2). The extracellular signal–regulated kinase (ERK)1/2 pathway The genomic analysis of several cancer types suggests that fi is involved in key cellular processes, including cell prolifera- these genes are not frequently ampli ed or mutated, with some tion, differentiation, survival, metabolism, and migration. notable exceptions (e.g., in the case of hepatocellular carcino- More than 30% of all human cancers harbor mutations within ma; ref. 6). Table 1 summarizes reported genetic changes in this pathway, mostly resulting in gain of function and conse- RSK genes. -
Anti-DAPK2 Antibody (ARG54388)
Product datasheet [email protected] ARG54388 Package: 50 μg anti-DAPK2 antibody Store at: -20°C Summary Product Description Rabbit Polyclonal antibody recognizes DAPK2 Tested Reactivity Hu, Ms, Rat Tested Application IHC, WB Specificity This antibody recognizes human, mouse, and rat DAPK2 (approx. 42kDa) and does not cross-react with DAPK. Host Rabbit Clonality Polyclonal Isotype IgG Target Name DAPK2 Antigen Species Human Immunogen Peptide corresponding to aa 356-370 of human DAPK2 (accession no. BAA88063). This sequence is identical to that of mouse. Conjugation Un-conjugated Alternate Names DRP1; DAP-kinase-related protein 1; DRP-1; DAP kinase 2; EC 2.7.11.1; Death-associated protein kinase 2 Application Instructions Application table Application Dilution IHC Assay-dependent WB Assay-dependent Application Note * The dilutions indicate recommended starting dilutions and the optimal dilutions or concentrations should be determined by the scientist. Positive Control A431, Mouse spleen and Rat kidney Calculated Mw 43 kDa Properties Form Liquid Purification Immunoaffinity chroma-tography Buffer PBS (pH 7.4) and 0.02% Sodium azide Preservative 0.02% Sodium azide Storage instruction For continuous use, store undiluted antibody at 2-8°C for up to a week. For long-term storage, aliquot and store at -20°C or below. Storage in frost free freezers is not recommended. Avoid repeated freeze/thaw cycles. Suggest spin the vial prior to opening. The antibody solution should be gently mixed www.arigobio.com 1/3 before use. Note For laboratory research only, not for drug, diagnostic or other use. Bioinformation Database links GeneID: 13143 Mouse GeneID: 23604 Human Swiss-port # Q8VDF3 Mouse Swiss-port # Q9UIK4 Human Gene Symbol DAPK2 Gene Full Name death-associated protein kinase 2 Background Certain serine/threonine protein kinases, such as RIP and DAP kinase, are mediators of apoptosis. -
DAPK1 Signaling Pathways in Stroke: from Mechanisms to Therapies
Mol Neurobiol DOI 10.1007/s12035-016-0008-y DAPK1 Signaling Pathways in Stroke: from Mechanisms to Therapies Shan Wang 1 & Xiangde Shi2 & Hao Li3,4 & Pei Pang3,4 & Lei Pei5,4 & Huiyong Shen6 & Youming Lu 3,4 Received: 26 January 2016 /Accepted: 28 June 2016 # The Author(s) 2016. This article is published with open access at Springerlink.com Abstract Death-associated protein kinase 1 (DAPK1), a treatment effectively reduces neuronal loss. In this review, we Ca2+/calmodulin (CaM)-dependent serine/threonine protein focus on the role of DAPK1 in neuronal cell death after stroke. kinase, plays important roles in diverse apoptosis pathways We hope to provide exhaustive summaries of relevant studies not only in tumor suppression but also in neuronal cell death. on DAPK1 signals involved in stroke damage. Therefore, The requirement of DAPK1 catalytic activity for its proposed disrupting DAPK1-relevant cell death pathway could be con- cell functions and the elevation of catalytic activity of DAPK1 sidered as a promising therapeutic approach in stroke. in injured neurons in models of neurological diseases, such as ischemia and epilepsy, validate that DAPK1 can be taken as a Keywords DAPK1 . Stroke . Cell death . Mechanism . potential therapeutic target in these diseases. Recent studies Therapeutics show that DAPK1-NR2B, DAPK1-DANGER, DAPK1-p53, and DAPK1-Tau are currently known pathways in stroke- induced cell death, and blocking these cascades in an acute Introduction Shan Wang and Xiangde Shi contributed equally to this work. Stroke, a major cause of morbidity and mortality, affects mil- lions of lives worldwide every year [1]. It is either due to * Huiyong Shen cerebral ischemia or hemorrhage and is followed with a series [email protected] of complex biochemical incidents that leads to the total break- * Youming Lu down of cellular integrity and eventually cell death. -
Phosphorylation Signaling in APP Processing in Alzheimer's Disease
International Journal of Molecular Sciences Review Phosphorylation Signaling in APP Processing in Alzheimer’s Disease Tao Zhang, Dongmei Chen and Tae Ho Lee * Fujian Key Laboratory for Translational Research in Cancer and Neurodegenerative Diseases, Institute for Translational Medicine, School of Basic Medical Sciences, Fujian Medical University, Fuzhou 350122, China; [email protected] (T.Z.); [email protected] (D.C.) * Correspondence: [email protected] or [email protected]; Tel.: +86-591-2286-2498 Received: 9 December 2019; Accepted: 24 December 2019; Published: 27 December 2019 Abstract: The abnormal accumulation of amyloid-β (Aβ) in the central nervous system is a hallmark of Alzheimer’s disease (AD). The regulation of the processing of the single- transmembrane amyloid precursor protein (APP) plays an important role in the generation of Aβ in the brain. The phosphorylation of APP and key enzymes involved in the proteolytic processing of APP has been demonstrated to be critical for modulating the generation of Aβ by either altering the subcellular localization of APP or changing the enzymatic activities of the secretases responsible for APP processing. In addition, the phosphorylation may also have an impact on the physiological function of these proteins. In this review, we summarize the kinases and signaling pathways that may participate in regulating the phosphorylation of APP and secretases and how this further affects the function and processing of APP and Aβ pathology. We also discuss the potential of approaches that modulate these phosphorylation-signaling pathways or kinases as interventions for AD pathology. Keywords: Alzheimer’s disease; APP processing; phosphorylation; amyloid-β; kinase 1. Introduction Current epidemiological studies estimate that there are approximately 45 million people suffering from dementia [1].