Brain-Restricted Mtor Inhibition with Binary Pharmacology 2 3 Ziyang Zhang1, Qiwen Fan2,3, Xujun Luo2,3, Kevin J
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CEP41 As an ASD Gene Ashok Patowary 1,Soyeonwon2,Shinjioh2,Ryanrnesbitt1, Marilyn Archer1, Debbie Nickerson3, Wendy H
Patowary et al. Translational Psychiatry (2019) 9:4 https://doi.org/10.1038/s41398-018-0343-z Translational Psychiatry ARTICLE Open Access Family-based exome sequencing and case- control analysis implicate CEP41 as an ASD gene Ashok Patowary 1,SoYeonWon2,ShinJiOh2,RyanRNesbitt1, Marilyn Archer1, Debbie Nickerson3, Wendy H. Raskind1,4, Raphael Bernier1,JiEunLee2,5 and Zoran Brkanac1 Abstract Autism Spectrum Disorder (ASD) is a complex neurodevelopmental disorder with a strong genetic component. Although next-generation sequencing (NGS) technologies have been successfully applied to gene identification in de novo ASD, the genetic architecture of familial ASD remains largely unexplored. Our approach, which leverages the high specificity and sensitivity of NGS technology, has focused on rare variants in familial autism. We used NGS exome sequencing in 26 families with distantly related affected individuals to identify genes with private gene disrupting and missense variants of interest (VOI). We found that the genes carrying VOIs were enriched for biological processes related to cell projection organization and neuron development, which is consistent with the neurodevelopmental hypothesis of ASD. For a subset of genes carrying VOIs, we then used targeted NGS sequencing and gene-based variant burden case-control analysis to test for association with ASD. Missense variants in one gene, CEP41, associated significantly with ASD (p = 6.185e−05). Homozygous gene-disrupting variants in CEP41 were initially found to be responsible for recessive Joubert syndrome. Using a zebrafish model, we evaluated the mechanism by which the 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; CEP41 variants might contribute to ASD. We found that CEP41 missense variants affect development of the axonal tract, cranial neural crest migration and social behavior phenotype. -
The Application of a Characterized Pre-Clinical
THE APPLICATION OF A CHARACTERIZED PRE-CLINICAL GLIOBLASTOMA ONCOSPHERE MODEL TO IN VITRO AND IN VIVO THERAPEUTIC TESTING by Kelli M. Wilson A dissertation submitted to Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland March, 2014 ABSTRACT Glioblastoma multiforme (GBM) is a lethal brain cancer with a median survival time (MST) of approximately 15 months following treatment. A serious challenge facing the development of new drugs for the treatment of GBM is that preclinical models fail to replicate the human GBM phenotype. Here we report the Johns Hopkins Oncosphere Panel (JHOP), a panel of GBM oncosphere cell lines. These cell lines were validated by their ability to form tumors intracranially with histological features of human GBM and GBM variant tumors. We then completed whole exome sequencing on JHOP and found that they contain genetic alterations in GBM driver genes such as PTEN, TP53 and CDKN2A. Two JHOP cell lines were utilized in a high throughput drug screen of 466 compounds that were selected to represent late stage clinical development and a wide range of mechanisms. Drugs that were inhibitory in both cell lines were EGFR inhibitors, NF-kB inhibitors and apoptosis activators. We also examined drugs that were inhibitory in a single cell line. Effective drugs in the PTEN null and NF1 wild type cell line showed a limited number of drug targets with EGFR inhibitors being the largest group of cytotoxic compounds. However, in the PTEN mutant, NF1 null cell line, VEGFR/PDGFR inhibitors and dual PIK3/mTOR inhibitors were the most common effective compounds. -
Systematic Screening for Potential Therapeutic Targets in Osteosarcoma Through a Kinome-Wide CRISPR-Cas9 Library
Cancer Biol Med 2020. doi: 10.20892/j.issn.2095-3941.2020.0162 ORIGINAL ARTICLE Systematic screening for potential therapeutic targets in osteosarcoma through a kinome-wide CRISPR-Cas9 library Yuanzhong Wu*, Liwen Zhou*, Zifeng Wang, Xin Wang, Ruhua Zhang, Lisi Zheng, Tiebang Kang Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangzhou 510060, China ABSTRACT Objective: Osteosarcoma is the most common primary malignant bone tumor. However, the survival of patients with osteosarcoma has remained unchanged during the past 30 years, owing to a lack of efficient therapeutic targets. Methods: We constructed a kinome-targeting CRISPR-Cas9 library containing 507 kinases and 100 nontargeting controls and screened the potential kinase targets in osteosarcoma. The CRISPR screening sequencing data were analyzed with the Model-based Analysis of Genome-wide CRISPR/Cas9 Knockout (MAGeCK) Python package. The functional data were applied in the 143B cell line through lenti-CRISPR-mediated gene knockout. The clinical significance of kinases in the survival of patients with osteosarcoma was analyzed in the R2: Genomics Analysis and Visualization Platform. Results: We identified 53 potential kinase targets in osteosarcoma. Among these targets, we analyzed 3 kinases, TRRAP, PKMYT1, and TP53RK, to validate their oncogenic functions in osteosarcoma. PKMYT1 and TP53RK showed higher expression in osteosarcoma than in normal bone tissue, whereas TRRAP showed no significant difference. High expression of all 3 kinases was associated with relatively poor prognosis in patients with osteosarcoma. Conclusions: Our results not only offer potential therapeutic kinase targets in osteosarcoma but also provide a paradigm for functional genetic screening by using a CRISPR-Cas9 library, including target design, library construction, screening workflow, data analysis, and functional validation. -
AGC Kinases in Mtor Signaling, in Mike Hall and Fuyuhiko Tamanoi: the Enzymes, Vol
Provided for non-commercial research and educational use only. Not for reproduction, distribution or commercial use. This chapter was originally published in the book, The Enzymes, Vol .27, published by Elsevier, and the attached copy is provided by Elsevier for the author's benefit and for the benefit of the author's institution, for non-commercial research and educational use including without limitation use in instruction at your institution, sending it to specific colleagues who know you, and providing a copy to your institution’s administrator. All other uses, reproduction and distribution, including without limitation commercial reprints, selling or licensing copies or access, or posting on open internet sites, your personal or institution’s website or repository, are prohibited. For exceptions, permission may be sought for such use through Elsevier's permissions site at: http://www.elsevier.com/locate/permissionusematerial From: ESTELA JACINTO, AGC Kinases in mTOR Signaling, In Mike Hall and Fuyuhiko Tamanoi: The Enzymes, Vol. 27, Burlington: Academic Press, 2010, pp.101-128. ISBN: 978-0-12-381539-2, © Copyright 2010 Elsevier Inc, Academic Press. Author's personal copy 7 AGC Kinases in mTOR Signaling ESTELA JACINTO Department of Physiology and Biophysics UMDNJ-Robert Wood Johnson Medical School, Piscataway New Jersey, USA I. Abstract The mammalian target of rapamycin (mTOR), a protein kinase with homology to lipid kinases, orchestrates cellular responses to growth and stress signals. Various extracellular and intracellular inputs to mTOR are known. mTOR processes these inputs as part of two mTOR protein com- plexes, mTORC1 or mTORC2. Surprisingly, despite the many cellular functions that are linked to mTOR, there are very few direct mTOR substrates identified to date. -
Study Protocol and Statistical Analysis Plan
Confidential Clinical study protocol number: J1228 Page 1 Version Date: May 7, 2018 IRB study Number: NA_00067315 A Trial of maintenance Rituximab with mTor inhibition after High-dose Consolidative Therapy in CD20+, B-cell Lymphomas, Gray Zone Lymphoma, and Hodgkin’s Lymphoma Principal Investigator: Douglas E. Gladstone, MD The Sidney Kimmel Comprehensive Cancer Center at Johns Hopkins 1650 Orleans Street, CRBI-287 Baltimore, MD 21287 Phone: 410-955-8781 Fax: 410-614-1005 Email: [email protected] IRB Protocol Number: NA_00067315 Study Number: J1228 IND Number: EXEMPT Novartis Protocol Number: CRAD001NUS157T Version: May 7, 2018 Co-Investigators: Jonathan Powell 1650 Orleans Street, CRBI-443 Phone: 410-502-7887 Fax: 443-287-4653 Email: [email protected] Richard Jones 1650 Orleans Street, CRBI-244 Phone: 410-955-2006 Fax: 410-614-7279 Email: [email protected] Confidential Clinical study protocol number: J1228 Page 2 Version Date: May 7, 2018 IRB study Number: NA_00067315 Satish Shanbhag Johns Hopkins Bayview Medical Center 301 Building, Suite 4500 4940 Eastern Ave Phone: 410-550-4061 Fax: 410-550-5445 Email: [email protected] Statisticians: Gary Rosner Phone: 410-955-4884 Email: [email protected] Marianna Zahurak Phone: 410-955-4219 Email: [email protected] Confidential Clinical study protocol number: J1228 Page 3 Version Date: May 7, 2018 IRB study Number: NA_00067315 Table of contents Table of contents ......................................................................................................................... 3 List of abbreviations -
Phosphatidylinositol-3-Kinase Related Kinases (Pikks) in Radiation-Induced Dna Damage
Mil. Med. Sci. Lett. (Voj. Zdrav. Listy) 2012, vol. 81(4), p. 177-187 ISSN 0372-7025 DOI: 10.31482/mmsl.2012.025 REVIEW ARTICLE PHOSPHATIDYLINOSITOL-3-KINASE RELATED KINASES (PIKKS) IN RADIATION-INDUCED DNA DAMAGE Ales Tichy 1, Kamila Durisova 1, Eva Novotna 1, Lenka Zarybnicka 1, Jirina Vavrova 1, Jaroslav Pejchal 2, Zuzana Sinkorova 1 1 Department of Radiobiology, Faculty of Health Sciences in Hradec Králové, University of Defence in Brno, Czech Republic 2 Centrum of Advanced Studies, Faculty of Health Sciences in Hradec Králové, University of Defence in Brno, Czech Republic. Received 5 th September 2012. Revised 27 th November 2012. Published 7 th December 2012. Summary This review describes a drug target for cancer therapy, family of phosphatidylinositol-3 kinase related kinases (PIKKs), and it gives a comprehensive review of recent information. Besides general information about phosphatidylinositol-3 kinase superfamily, it characterizes a DNA-damage response pathway since it is monitored by PIKKs. Key words: PIKKs; ATM; ATR; DNA-PK; Ionising radiation; DNA-repair ABBREVIATIONS therapy and radiation play a pivotal role. Since cancer is one of the leading causes of death worldwide, it is DSB - double stand breaks, reasonable to invest time and resources in the enligh - IR - ionising radiation, tening of mechanisms, which underlie radio-resis - p53 - TP53 tumour suppressors, tance. PI - phosphatidylinositol. The aim of this review is to describe the family INTRODUCTION of phosphatidyinositol 3-kinases (PI3K) and its func - tional subgroup - phosphatidylinositol-3-kinase rela - An efficient cancer treatment means to restore ted kinases (PIKKs) and their relation to repairing of controlled tissue growth via interfering with cell sig - radiation-induced DNA damage. -
Profiling Data
Compound Name DiscoveRx Gene Symbol Entrez Gene Percent Compound Symbol Control Concentration (nM) JNK-IN-8 AAK1 AAK1 69 1000 JNK-IN-8 ABL1(E255K)-phosphorylated ABL1 100 1000 JNK-IN-8 ABL1(F317I)-nonphosphorylated ABL1 87 1000 JNK-IN-8 ABL1(F317I)-phosphorylated ABL1 100 1000 JNK-IN-8 ABL1(F317L)-nonphosphorylated ABL1 65 1000 JNK-IN-8 ABL1(F317L)-phosphorylated ABL1 61 1000 JNK-IN-8 ABL1(H396P)-nonphosphorylated ABL1 42 1000 JNK-IN-8 ABL1(H396P)-phosphorylated ABL1 60 1000 JNK-IN-8 ABL1(M351T)-phosphorylated ABL1 81 1000 JNK-IN-8 ABL1(Q252H)-nonphosphorylated ABL1 100 1000 JNK-IN-8 ABL1(Q252H)-phosphorylated ABL1 56 1000 JNK-IN-8 ABL1(T315I)-nonphosphorylated ABL1 100 1000 JNK-IN-8 ABL1(T315I)-phosphorylated ABL1 92 1000 JNK-IN-8 ABL1(Y253F)-phosphorylated ABL1 71 1000 JNK-IN-8 ABL1-nonphosphorylated ABL1 97 1000 JNK-IN-8 ABL1-phosphorylated ABL1 100 1000 JNK-IN-8 ABL2 ABL2 97 1000 JNK-IN-8 ACVR1 ACVR1 100 1000 JNK-IN-8 ACVR1B ACVR1B 88 1000 JNK-IN-8 ACVR2A ACVR2A 100 1000 JNK-IN-8 ACVR2B ACVR2B 100 1000 JNK-IN-8 ACVRL1 ACVRL1 96 1000 JNK-IN-8 ADCK3 CABC1 100 1000 JNK-IN-8 ADCK4 ADCK4 93 1000 JNK-IN-8 AKT1 AKT1 100 1000 JNK-IN-8 AKT2 AKT2 100 1000 JNK-IN-8 AKT3 AKT3 100 1000 JNK-IN-8 ALK ALK 85 1000 JNK-IN-8 AMPK-alpha1 PRKAA1 100 1000 JNK-IN-8 AMPK-alpha2 PRKAA2 84 1000 JNK-IN-8 ANKK1 ANKK1 75 1000 JNK-IN-8 ARK5 NUAK1 100 1000 JNK-IN-8 ASK1 MAP3K5 100 1000 JNK-IN-8 ASK2 MAP3K6 93 1000 JNK-IN-8 AURKA AURKA 100 1000 JNK-IN-8 AURKA AURKA 84 1000 JNK-IN-8 AURKB AURKB 83 1000 JNK-IN-8 AURKB AURKB 96 1000 JNK-IN-8 AURKC AURKC 95 1000 JNK-IN-8 -
De Novo EIF2AK1 and EIF2AK2 Variants Are Associated with Developmental Delay, Leukoencephalopathy, and Neurologic Decompensation
bioRxiv preprint doi: https://doi.org/10.1101/757039; this version posted September 16, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. De novo EIF2AK1 and EIF2AK2 variants are associated with developmental delay, leukoencephalopathy, and neurologic decompensation Dongxue Mao1,2, Chloe M. Reuter3,4, Maura R.Z. Ruzhnikov5,6, Anita E. Beck7, Emily G. Farrow8,9,10, Lisa T. Emrick1,11,12,13, Jill A. Rosenfeld12, Katherine M. Mackenzie5, Laurie Robak2,12,13, Matthew T. Wheeler3,14, Lindsay C. Burrage12,13, Mahim Jain15, Pengfei Liu12, Daniel Calame11,13, Sebastien Küry17,18, Martin Sillesen19, Klaus Schmitz-Abe20, Davide Tonduti21, Luigina Spaccini22, Maria Iascone23, Casie A. Genetti20, Madeline Graf16, Alyssa Tran12, Mercedes Alejandro12, Undiagnosed Diseases Network, Brendan H. Lee12,13, Isabelle Thiffault8,9,24, Pankaj B. Agrawal#,20, Jonathan A. Bernstein#,3,25, Hugo J. Bellen#,2,12,26,27,28, Hsiao- Tuan Chao#,1,2,11,12,13,28,27,29 #Correspondence should be addressed: [email protected] (P.A.), [email protected] (J.A.B.), [email protected] (H.J.B.), [email protected] (H.T.C.) 1Department of Pediatrics, Baylor College of Medicine (BCM), Houston, TX 2Jan and Dan Duncan Neurological Research Institute, Texas Children’s Hospital, Houston, TX 3Stanford Center for Undiagnosed Diseases, Stanford University, Stanford, CA 4Stanford Center for Inherited Cardiovascular Disease, Division of Cardiovascular Medicine, -
Application of a MYC Degradation
SCIENCE SIGNALING | RESEARCH ARTICLE CANCER Copyright © 2019 The Authors, some rights reserved; Application of a MYC degradation screen identifies exclusive licensee American Association sensitivity to CDK9 inhibitors in KRAS-mutant for the Advancement of Science. No claim pancreatic cancer to original U.S. Devon R. Blake1, Angelina V. Vaseva2, Richard G. Hodge2, McKenzie P. Kline3, Thomas S. K. Gilbert1,4, Government Works Vikas Tyagi5, Daowei Huang5, Gabrielle C. Whiten5, Jacob E. Larson5, Xiaodong Wang2,5, Kenneth H. Pearce5, Laura E. Herring1,4, Lee M. Graves1,2,4, Stephen V. Frye2,5, Michael J. Emanuele1,2, Adrienne D. Cox1,2,6, Channing J. Der1,2* Stabilization of the MYC oncoprotein by KRAS signaling critically promotes the growth of pancreatic ductal adeno- carcinoma (PDAC). Thus, understanding how MYC protein stability is regulated may lead to effective therapies. Here, we used a previously developed, flow cytometry–based assay that screened a library of >800 protein kinase inhibitors and identified compounds that promoted either the stability or degradation of MYC in a KRAS-mutant PDAC cell line. We validated compounds that stabilized or destabilized MYC and then focused on one compound, Downloaded from UNC10112785, that induced the substantial loss of MYC protein in both two-dimensional (2D) and 3D cell cultures. We determined that this compound is a potent CDK9 inhibitor with a previously uncharacterized scaffold, caused MYC loss through both transcriptional and posttranslational mechanisms, and suppresses PDAC anchorage- dependent and anchorage-independent growth. We discovered that CDK9 enhanced MYC protein stability 62 through a previously unknown, KRAS-independent mechanism involving direct phosphorylation of MYC at Ser . -
Comparative Analysis of Protein Expression Concomitant with DNA Methyltransferase 3A Depletion in a Melanoma Cell Line
American Journal of Analytical Chemistry, 2011, 2, 539-572 doi:10.4236/ajac.2011.25064 Published Online September 2011 (http://www.SciRP.org/journal/ajac) Comparative Analysis of Protein Expression Concomitant with DNA Methyltransferase 3A Depletion in a Melanoma Cell Line Shengnan Tang1,#, Xiaoyan Liu1,#, Tonghua Li1*, Haoyue Wang2, Jiangming Sun1, Qian Qiao1, Jun Yao3, Jian Fei2 1Department of Chemistry, Tongji University, Shanghai, China 2School of Life Science & Technology, Tongji University, Shanghai, China 3School of Medicine, Fudan University, Shanghai, China E-mail: *[email protected] Received March 17, 2011; revised May 3, 2011; accepted June 1, 2011 Abstract DNA methyltransferase 3A (Dnmt3a), a de novo methyltransferase, has attracted a great deal of attention for its important role played in tumorigenesis. We have previously demonstrated that melanoma is unable to grow in-vivo in conditions of Dnmt3a depletion in a mouse model. In this study, we cultured the Dnmt3a depletion B16 melanoma (Dnmt3a-D) cell line to conduct a comparative analysis of protein expression con-comitant with Dnmt3a depletion in a melanoma cell line. After two-dimensional separation, by gel elec- tro-phoresis and liquid chromatography, combined with mass spectrometry analysis (1DE-LC-MS/MS), the re-sults demonstrated that 467 proteins were up-regulated and 535 proteins were down-regulated in the Dnmt3a-D cell line compared to the negative control (NC) cell line. The Genome Ontology (GO) and KEGG pathway were used to further analyze the altered proteins. KEGG pathway analysis indicated that the MAPK signaling pathway exhibited a greater alteration in proteins, an interesting finding due to the close rela- tion-ship with tumorigenesis. -
Modulation of NF-Κb Signalling by Microbial Pathogens
REVIEWS Modulation of NF‑κB signalling by microbial pathogens Masmudur M. Rahman and Grant McFadden Abstract | The nuclear factor-κB (NF‑κB) family of transcription factors plays a central part in the host response to infection by microbial pathogens, by orchestrating the innate and acquired host immune responses. The NF‑κB proteins are activated by diverse signalling pathways that originate from many different cellular receptors and sensors. Many successful pathogens have acquired sophisticated mechanisms to regulate the NF‑κB signalling pathways by deploying subversive proteins or hijacking the host signalling molecules. Here, we describe the mechanisms by which viruses and bacteria micromanage the host NF‑κB signalling circuitry to favour the continued survival of the pathogen. The nuclear factor-κB (NF-κB) family of transcription Signalling targets upstream of NF‑κB factors regulates the expression of hundreds of genes that NF-κB proteins are tightly regulated in both the cyto- are associated with diverse cellular processes, such as pro- plasm and the nucleus6. Under normal physiological liferation, differentiation and death, as well as innate and conditions, NF‑κB complexes remain inactive in the adaptive immune responses. The mammalian NF‑κB cytoplasm through a direct interaction with proteins proteins are members of the Rel domain-containing pro- of the inhibitor of NF-κB (IκB) family, including IκBα, tein family: RELA (also known as p65), RELB, c‑REL, IκBβ and IκBε (also known as NF-κBIα, NF-κBIβ and the NF-κB p105 subunit (also known as NF‑κB1; which NF-κBIε, respectively); IκB proteins mask the nuclear is cleaved into the p50 subunit) and the NF-κB p100 localization domains in the NF‑κB complex, thus subunit (also known as NF‑κB2; which is cleaved into retaining the transcription complex in the cytoplasm. -
The Combination of the PARP Inhibitor Olaparib and the Wee1 Inhibitor AZD1775 As a New Therapeutic Option for Small Cell Lung Cancer
Author Manuscript Published OnlineFirst on June 25, 2018; DOI: 10.1158/1078-0432.CCR-17-2805 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. The combination of the PARP inhibitor olaparib and the Wee1 inhibitor AZD1775 as a new therapeutic option for small cell lung cancer Alice Lallo1,*, Kristopher K Frese1,*, Christopher J Morrow1, Robert Sloane1, Sakshi Gulati1, Maximillian W Schenk1, Francesca Trapani1, Nicole Simms1, Melanie Galvin1, Stewart Brown1, Cassandra L Hodgkinson1, Lynsey Priest1, Adina Hughes4, Zhongwu Lai5, Elaine Cadogan4, Garima Khandelwal3, Kathryn L Simpson1, Crispin Miller3, Fiona Blackhall2, Mark J O’Connor4,#, and Caroline Dive1,# 1 Clinical and Experimental Pharmacology Group, Cancer Research UK Manchester Institute, University of Manchester, Manchester, M20 4BX, UK. 2 Institute of Cancer Sciences, University of Manchester, Manchester, United Kingdom. Christie NHS Foundation Trust, Manchester, M20 4BX, UK. 3 RNA Biology Group, Cancer Research UK Manchester Institute, University of Manchester, Manchester, M20 4BX, UK. 4 Oncology Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Cambridge, CB2 0RE, UK. 5 Oncology Innovative Medicines and Early Development Biotech Unit, AstraZeneca, Waltham, 02451, USA. *These authors contributed equally to this work Running title: PARP and Wee1 inhibition in patient-derived models of SCLC C. Dive receives funding from the Cancer Research UK Manchester Institute core (C5759/A27412), the Cancer Research UK Manchester