Unique Integrated Stress Response Sensors Regulate Cancer Cell
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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. -
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 -
Uncovering Ubiquitin and Ubiquitin-Like Signaling Networks Alfred C
REVIEW pubs.acs.org/CR Uncovering Ubiquitin and Ubiquitin-like Signaling Networks Alfred C. O. Vertegaal* Department of Molecular Cell Biology, Leiden University Medical Center, Albinusdreef 2, 2333 ZA Leiden, The Netherlands CONTENTS 8. Crosstalk between Post-Translational Modifications 7934 1. Introduction 7923 8.1. Crosstalk between Phosphorylation and 1.1. Ubiquitin and Ubiquitin-like Proteins 7924 Ubiquitylation 7934 1.2. Quantitative Proteomics 7924 8.2. Phosphorylation-Dependent SUMOylation 7935 8.3. Competition between Different Lysine 1.3. Setting the Scenery: Mass Spectrometry Modifications 7935 Based Investigation of Phosphorylation 8.4. Crosstalk between SUMOylation and the and Acetylation 7925 UbiquitinÀProteasome System 7935 2. Ubiquitin and Ubiquitin-like Protein Purification 9. Conclusions and Future Perspectives 7935 Approaches 7925 Author Information 7935 2.1. Epitope-Tagged Ubiquitin and Ubiquitin-like Biography 7935 Proteins 7925 Acknowledgment 7936 2.2. Traps Based on Ubiquitin- and Ubiquitin-like References 7936 Binding Domains 7926 2.3. Antibody-Based Purification of Ubiquitin and Ubiquitin-like Proteins 7926 1. INTRODUCTION 2.4. Challenges and Pitfalls 7926 Proteomes are significantly more complex than genomes 2.5. Summary 7926 and transcriptomes due to protein processing and extensive 3. Ubiquitin Proteomics 7927 post-translational modification (PTM) of proteins. Hundreds ff fi 3.1. Proteomic Studies Employing Tagged of di erent modi cations exist. Release 66 of the RESID database1 (http://www.ebi.ac.uk/RESID/) contains 559 dif- Ubiquitin 7927 ferent modifications, including small chemical modifications 3.2. Ubiquitin Binding Domains 7927 such as phosphorylation, acetylation, and methylation and mod- 3.3. Anti-Ubiquitin Antibodies 7927 ification by small proteins, including ubiquitin and ubiquitin- 3.4. -
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, -
Omics Technologies: Insights Into the Transmission of Insect Vector-Borne Plant Viruses
Looking Through the Lens of ‘Omics Technologies: Insights into the Transmission of Insect Vector-borne Plant Viruses Jennifer R. Wilson1,2, Stacy L. DeBlasio1,2,3, Mariko M. Alexander1,2 and Michelle Heck1,2,3* 1Plant Pathology and Plant Microbe Biology Section, School of Integrative Plant Sciences, Cornell University, Ithaca, NY, USA. 2Boyce Tompson Institute, Ithaca, NY, USA. 3Emerging Pests and Pathogens Research Unit, United States Department of Agriculture – Agricultural Research Service, Ithaca, NY, USA. *Correspondence: [email protected] htps://doi.org/10.21775/cimb.034.113 Abstract interactions, and the development of novel control Insects in the orders Hemiptera and Tysanoptera strategies. transmit viruses and other pathogens associated with the most serious diseases of plants. Plant viruses transmited by these insects target similar Advances in whole genome tissues, genes, and proteins within the insect to sequencing of insect vectors of facilitate plant-to-plant transmission with some plant viruses fuels discovery degree of specifcity at the molecular level. ‘Omics Major advances in next generation sequencing tech- experiments are becoming increasingly important nologies and their increased afordability has led to and practical for vector biologists to use towards an explosion in the availability of whole-genome beter understanding the molecular mechanisms sequence data for each biological player in the and biochemistry underlying transmission of virus–vector–host relationship: virus, vector and these insect-borne diseases. -
Coordination Between Autophagy and the Heat Shock Response: Evidence from Exercise in Animals and Humans Nathan H
University of New Mexico UNM Digital Repository Health, Exercise, and Sports Sciences ETDs Education ETDs 9-1-2015 Coordination Between Autophagy and the Heat Shock Response: Evidence From Exercise in Animals and Humans Nathan H. Cole Follow this and additional works at: https://digitalrepository.unm.edu/educ_hess_etds Part of the Health and Physical Education Commons Recommended Citation Cole, Nathan H.. "Coordination Between Autophagy and the Heat Shock Response: Evidence From Exercise in Animals and Humans." (2015). https://digitalrepository.unm.edu/educ_hess_etds/52 This Thesis is brought to you for free and open access by the Education ETDs at UNM Digital Repository. It has been accepted for inclusion in Health, Exercise, and Sports Sciences ETDs by an authorized administrator of UNM Digital Repository. For more information, please contact [email protected]. Nathan H. Cole Candidate Health, Exercise, & Sports Sciences Department This thesis is approved, and it is acceptable in quality and form for publication: Approved by the Thesis Committee: Christine M. Mermier, Chairperson Karol Dokladny Orrin B. Myers i COORDINATION BETWEEN AUTOPHAGY AND THE HEAT SHOCK RESPONSE: EVIDENCE FROM EXERCISE IN ANIMALS AND HUMANS by NATHAN H. COLE B.S. University Studies, University of New Mexico, 2013 THESIS Submitted in Partial Fulfillment of the Requirements for the Degree of MASTER OF SCIENCE PHYSICAL EDUCATION CONCENTRATION: EXERCISE SCIENCE The University of New Mexico Albuquerque, New Mexico July, 2015 ii Acknowledgments I would like to thank Dr. Christine Mermier for her unwavering guidance, support, generosity, and patience (throughout this project, and many that came before it); Dr. Orrin Myers for all his assistance in moving from the numbers to the meaning (not to mention putting up with my parabolic model); Dr. -
Relevance of Translation Initiation in Diffuse Glioma Biology and Its
cells Review Relevance of Translation Initiation in Diffuse Glioma Biology and its Therapeutic Potential Digregorio Marina 1, Lombard Arnaud 1,2, Lumapat Paul Noel 1, Scholtes Felix 1,2, Rogister Bernard 1,3 and Coppieters Natacha 1,* 1 Laboratory of Nervous System Disorders and Therapy, GIGA-Neurosciences Research Centre, University of Liège, 4000 Liège, Belgium; [email protected] (D.M.); [email protected] (L.A.); [email protected] (L.P.N.); [email protected] (S.F.); [email protected] (R.B.) 2 Department of Neurosurgery, CHU of Liège, 4000 Liège, Belgium 3 Department of Neurology, CHU of Liège, 4000 Liège, Belgium * Correspondence: [email protected] Received: 18 October 2019; Accepted: 26 November 2019; Published: 29 November 2019 Abstract: Cancer cells are continually exposed to environmental stressors forcing them to adapt their protein production to survive. The translational machinery can be recruited by malignant cells to synthesize proteins required to promote their survival, even in times of high physiological and pathological stress. This phenomenon has been described in several cancers including in gliomas. Abnormal regulation of translation has encouraged the development of new therapeutics targeting the protein synthesis pathway. This approach could be meaningful for glioma given the fact that the median survival following diagnosis of the highest grade of glioma remains short despite current therapy. The identification of new targets for the development of novel therapeutics is therefore needed in order to improve this devastating overall survival rate. This review discusses current literature on translation in gliomas with a focus on the initiation step covering both the cap-dependent and cap-independent modes of initiation. -
Integrated Stress Response of Vertebrates Is Regulated by Four
www.nature.com/scientificreports OPEN Integrated stress response of vertebrates is regulated by four eIF2α kinases Received: 20 March 2016 Shusuke Taniuchi1,2,3, Masato Miyake1,2,3, Kazue Tsugawa1,2, Miho Oyadomari1,2 & Accepted: 16 August 2016 Seiichi Oyadomari1,2,3 Published: 16 September 2016 The integrated stress response (ISR) is a cytoprotective pathway initiated upon phosphorylation of the eukaryotic translation initiation factor 2 (eIF2α) residue designated serine-51, which is critical for translational control in response to various stress conditions. Four eIF2α kinases, namely heme- regulated inhibitor (HRI), protein kinase R (PKR), PKR-like endoplasmic reticulum kinase, (PERK) and general control non-depressible 2 (GCN2), have been identified thus far, and they are known to be activated by heme depletion, viral infection, endoplasmic reticulum stress, and amino acid starvation, respectively. Because eIF2α is phosphorylated under various stress conditions, the existence of an additional eIF2α kinase has been suggested. To validate the existence of the unidentified eIF2α kinase, we constructed an eIF2α kinase quadruple knockout cells (4KO cells) in which the four known eIF2α kinase genes were deleted using the CRISPR/Cas9-mediated genome editing. Phosphorylation of eIF2α was completely abolished in the 4KO cells by various stress stimulations. Our data suggests that the four known eIF2α kinases are sufficient for ISR and that there are no additional eIF2α kinases in vertebrates. The α subunit of eukaryotic translation initiation factor 2 (eIF2α ) is known to be phosphorylated by diverse stress stimuli1. There are several phosphorylation sites in eIF2α, but serine 51 is critical for translational control2. eIF2α phosphorylation causes transient attenuation of the translation of most mRNAs and transcriptional induc- tion by selective translation of transcription factors. -
1 Kinobead Profiling Reveals Reprogramming of B-Cell Receptor Signaling in Response to Therapy Within Primary CLL Cells. Linley
bioRxiv preprint doi: https://doi.org/10.1101/841312; this version posted November 14, 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. Kinobead profiling reveals reprogramming of B-cell receptor signaling in response to therapy within primary CLL cells. Linley AJ1, Griffin R2, Cicconi S2, D’Avola A3$, MacEwan DJ4, Pettit AR1, Kalakonda N1, Packham G3, Prior IA5, Slupsky JR1. 1. Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool, Sherrington Building, Ashton Street, Liverpool, UK. 2. CRUK Clinical Trials Unit, University of Liverpool, Waterhouse Building, Ashton Street, Liverpool. 3. Southampton Cancer Research UK Centre, Cancer Sciences Unit, Faculty of Medicine, University of Southampton, Southampton, UK. 4. Department of Molecular and Clinical Pharmacology, Institute of Translational Medicine, University of Liverpool, Sherrington Building, Ashton Street, Liverpool, UK. 5. Department of Cellular and Molecular Physiology, Institute of Translational Medicine, University of Liverpool, Nuffield Wing, Crown Street, Liverpool, UK. $ Current Address: The Francis Crick Institute, 1 Midland Road, London, UK. Corresponding author: Dr Adam J Linley, Department of Molecular and Clinical Cancer Medicine, Institute of Translational Medicine, University of Liverpool, Sherrington Building, Ashton Street, Liverpool, UK; [email protected]; +44(0)151 794 5310 Running head: Therapy brings about BCR signal changes. Key points 1. sIgM signaling patterns alter following in vivo therapy using either chemoimmunotherapy or ibrutinib. 2. Kinobeads provide a novel method for high-resolution investigation of signaling in primary CLL cells. 1 bioRxiv preprint doi: https://doi.org/10.1101/841312; this version posted November 14, 2019. -
Blueprint Genetics Congenital Structural Heart Disease Panel
Congenital Structural Heart Disease Panel Test code: CA1501 Is a 114 gene panel that includes assessment of non-coding variants. Is ideal for patients with congenital heart disease, particularly those with features of hereditary disorders. Is not ideal for patients suspected to have a ciliopathy or a rasopathy. For those patients, please consider our Primary Ciliary Dyskinesia Panel and our Noonan Syndrome Panel, respectively. About Congenital Structural Heart Disease There are many types of congenital heart disease (CHD) ranging from simple asymptomatic defects to complex defects with severe, life-threatening symptoms. CHDs are the most common type of birth defect and affect at least 8 out of every 1,000 newborns. Annually, more than 35,000 babies in the United States are born with CHDs. Many of these CHDs are simple conditions and need no treatment or are easily repaired. Some babies are born with complex CHD requiring special medical care. The diagnosis and treatment of complex CHDs has greatly improved over the past few decades. As a result, almost all children who have complex heart defects survive to adulthood and can live active, productive lives. However, many patients who have complex CHDs continue to need special heart care throughout their lives. In the United States, more than 1 million adults are living with congenital heart disease. Availability 4 weeks Gene Set Description Genes in the Congenital Structural Heart Disease Panel and their clinical significance Gene Associated phenotypes Inheritance ClinVar HGMD ABL1 Congenital -
Comparative Genomics of Ceriporiopsis Subvermispora and Phanerochaete Chrysosporium Provide Insight Into Selective Ligninolysis Elena Fernandez-Fueyoa, Francisco J
Comparative genomics of Ceriporiopsis subvermispora and Phanerochaete chrysosporium provide insight into selective ligninolysis Elena Fernandez-Fueyoa, Francisco J. Ruiz-Dueñasa, Patricia Ferreirab, Dimitrios Floudasc, David S. Hibbettc, Paulo Canessad, Luis F. Larrondod, Tim Y. Jamese, Daniela Seelenfreundf, Sergio Lobosf, Rubén Polancog, Mario Telloh, Yoichi Hondai, Takahito Watanabei, Takashi Watanabei, Ryu Jae Sanj, Christian P. Kubicekk,l, Monika Schmollk, Jill Gaskellm, Kenneth E. Hammelm, Franz J. St. Johnm, Amber Vanden Wymelenbergn, Grzegorz Sabato, Sandra Splinter BonDuranto, Khajamohiddin Syedp, Jagjit S. Yadavp, Harshavardhan Doddapaneniq, Venkataramanan Subramanianr, José L. Lavíns, José A. Oguizas, Gumer Perezs, Antonio G. Pisabarros, Lucia Ramirezs, Francisco Santoyos, Emma Mastert, Pedro M. Coutinhou, Bernard Henrissatu, Vincent Lombardu, Jon Karl Magnusonv, Ursula Küesw, Chiaki Horix, Kiyohiko Igarashix, Masahiro Samejimax, Benjamin W. Held y, Kerrie W. Barryz, Kurt M. LaButtiz, Alla Lapidusz, Erika A. Lindquistz, Susan M. Lucas z, Robert Rileyz, Asaf A. Salamovz, Dirk Hoffmeisteraa, Daniel Schwenkaa, Yitzhak Hadarbb, Oded Yardenbb, Ronald P. de Vriescc, Ad Wiebengacc, Jan Stenliddd, Daniel Eastwood ee, Igor V. Grigoriev z, Randy M. Berkaff, Robert A. Blanchettey, Phil Kerstenm, Angel T. Martineza, Rafael Vicunad, and Dan Cullenm,1 aCentro de Investigaciones Biológicas, Consejo Superior de Investigaciones Cientificas, E-28040 Madrid, Spain; bDepartment of Biochemistry and Molecular and Cellular Biology and Institute of -
PRODUCTS and SERVICES Target List
PRODUCTS AND SERVICES Target list Kinase Products P.1-11 Kinase Products Biochemical Assays P.12 "QuickScout Screening Assist™ Kits" Kinase Protein Assay Kits P.13 "QuickScout Custom Profiling & Panel Profiling Series" Targets P.14 "QuickScout Custom Profiling Series" Preincubation Targets Cell-Based Assays P.15 NanoBRET™ TE Intracellular Kinase Cell-Based Assay Service Targets P.16 Tyrosine Kinase Ba/F3 Cell-Based Assay Service Targets P.17 Kinase HEK293 Cell-Based Assay Service ~ClariCELL™ ~ Targets P.18 Detection of Protein-Protein Interactions ~ProbeX™~ Stable Cell Lines Crystallization Services P.19 FastLane™ Structures ~Premium~ P.20-21 FastLane™ Structures ~Standard~ Kinase Products For details of products, please see "PRODUCTS AND SERVICES" on page 1~3. Tyrosine Kinases Note: Please contact us for availability or further information. Information may be changed without notice. Expression Protein Kinase Tag Carna Product Name Catalog No. Construct Sequence Accession Number Tag Location System HIS ABL(ABL1) 08-001 Full-length 2-1130 NP_005148.2 N-terminal His Insect (sf21) ABL(ABL1) BTN BTN-ABL(ABL1) 08-401-20N Full-length 2-1130 NP_005148.2 N-terminal DYKDDDDK Insect (sf21) ABL(ABL1) [E255K] HIS ABL(ABL1)[E255K] 08-094 Full-length 2-1130 NP_005148.2 N-terminal His Insect (sf21) HIS ABL(ABL1)[T315I] 08-093 Full-length 2-1130 NP_005148.2 N-terminal His Insect (sf21) ABL(ABL1) [T315I] BTN BTN-ABL(ABL1)[T315I] 08-493-20N Full-length 2-1130 NP_005148.2 N-terminal DYKDDDDK Insect (sf21) ACK(TNK2) GST ACK(TNK2) 08-196 Catalytic domain