Exploring Mtor-Dependent Regulation of Mrna Translation in Cancer
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Targeting Fibrosis in the Duchenne Muscular Dystrophy Mice Model: an Uphill Battle
bioRxiv preprint doi: https://doi.org/10.1101/2021.01.20.427485; this version posted January 21, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. 1 Title: Targeting fibrosis in the Duchenne Muscular Dystrophy mice model: an uphill battle 2 Marine Theret1#, Marcela Low1#, Lucas Rempel1, Fang Fang Li1, Lin Wei Tung1, Osvaldo 3 Contreras3,4, Chih-Kai Chang1, Andrew Wu1, Hesham Soliman1,2, Fabio M.V. Rossi1 4 1School of Biomedical Engineering and the Biomedical Research Centre, Department of Medical 5 Genetics, 2222 Health Sciences Mall, Vancouver, BC, V6T 1Z3, Canada 6 2Department of Pharmacology and Toxicology, Faculty of Pharmaceutical Sciences, Minia 7 University, Minia, Egypt 8 3Developmental and Stem Cell Biology Division, Victor Chang Cardiac Research Institute, 9 Darlinghurst, NSW, 2010, Australia 10 4Departamento de Biología Celular y Molecular and Center for Aging and Regeneration (CARE- 11 ChileUC), Facultad de Ciencias Biológicas, Pontificia Universidad Católica de Chile, 8331150 12 Santiago, Chile 13 # Denotes Co-first authorship 14 15 Keywords: drug screening, fibro/adipogenic progenitors, fibrosis, repair, skeletal muscle. 16 Correspondence to: 17 Marine Theret 18 School of Biomedical Engineering and the Biomedical Research Centre 19 University of British Columbia 20 2222 Health Sciences Mall, Vancouver, British Columbia 21 Tel: +1(604) 822 0441 fax: +1(604) 822 7815 22 Email: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/2021.01.20.427485; this version posted January 21, 2021. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
Human Kinome Profiling Identifies a Requirement for AMP-Activated
Human kinome profiling identifies a requirement for AMP-activated protein kinase during human cytomegalovirus infection Laura J. Terrya, Livia Vastagb,1, Joshua D. Rabinowitzb, and Thomas Shenka,2 aDepartment of Molecular Biology and bDepartment of Chemistry and the Lewis-Sigler Institute for Integrative Genomics, Princeton University, Princeton, NJ 08544 Contributed by Thomas Shenk, January 11, 2012 (sent for review December 29, 2011) Human cytomegalovirus (HCMV) modulates numerous cellular (7). Thus, the connections between AMPK activity and metabolic signaling pathways. Alterations in signaling are evident from the changes during HCMV infection have remained unclear. broad changes in cellular phosphorylation that occur during HCMV We confirmed the requirement for AMPK during infection, infection and from the altered activity of multiple kinases. Here we and we show that an AMPK antagonist, compound C, blocks report a comprehensive RNAi screen, which predicts that 106 cellular HCMV-induced changes to glycolysis and inhibits viral gene kinases influence growth of the virus, most of which were not expression. These studies argue that AMPK or a related, com- previously linked to HCMV replication. Multiple elements of the pound C-sensitive kinase is an essential contributor to metabolic AMP-activated protein kinase (AMPK) pathway scored in the screen. changes initiated by HCMV and provide unique insight into As a regulator of carbon and nucleotide metabolism, AMPK is poised potential antiviral strategies. to activate many of the metabolic pathways induced by HCMV infection. An AMPK inhibitor, compound C, blocked a substantial Results portion of HCMV-induced metabolic changes, inhibited the accumu- HumanKinomeScreenIdentifies Putative Effectors of HCMV Replication. lation of all HCMV proteins tested, and markedly reduced the We conducted an siRNA screen of the human kinome to perform an production of infectious progeny. -
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 . -
Pflugers Final
CORE Metadata, citation and similar papers at core.ac.uk Provided by Serveur académique lausannois A comprehensive analysis of gene expression profiles in distal parts of the mouse renal tubule. Sylvain Pradervand2, Annie Mercier Zuber1, Gabriel Centeno1, Olivier Bonny1,3,4 and Dmitri Firsov1,4 1 - Department of Pharmacology and Toxicology, University of Lausanne, 1005 Lausanne, Switzerland 2 - DNA Array Facility, University of Lausanne, 1015 Lausanne, Switzerland 3 - Service of Nephrology, Lausanne University Hospital, 1005 Lausanne, Switzerland 4 – these two authors have equally contributed to the study to whom correspondence should be addressed: Dmitri FIRSOV Department of Pharmacology and Toxicology, University of Lausanne, 27 rue du Bugnon, 1005 Lausanne, Switzerland Phone: ++ 41-216925406 Fax: ++ 41-216925355 e-mail: [email protected] and Olivier BONNY Department of Pharmacology and Toxicology, University of Lausanne, 27 rue du Bugnon, 1005 Lausanne, Switzerland Phone: ++ 41-216925417 Fax: ++ 41-216925355 e-mail: [email protected] 1 Abstract The distal parts of the renal tubule play a critical role in maintaining homeostasis of extracellular fluids. In this review, we present an in-depth analysis of microarray-based gene expression profiles available for microdissected mouse distal nephron segments, i.e., the distal convoluted tubule (DCT) and the connecting tubule (CNT), and for the cortical portion of the collecting duct (CCD) (Zuber et al., 2009). Classification of expressed transcripts in 14 major functional gene categories demonstrated that all principal proteins involved in maintaining of salt and water balance are represented by highly abundant transcripts. However, a significant number of transcripts belonging, for instance, to categories of G protein-coupled receptors (GPCR) or serine-threonine kinases exhibit high expression levels but remain unassigned to a specific renal function. -
Overview of Research on Fusion Genes in Prostate Cancer
2011 Review Article Overview of research on fusion genes in prostate cancer Chunjiao Song1,2, Huan Chen3 1Medical Research Center, Shaoxing People’s Hospital, Shaoxing University School of Medicine, Shaoxing 312000, China; 2Shaoxing Hospital, Zhejiang University School of Medicine, Shaoxing 312000, China; 3Key Laboratory of Microorganism Technology and Bioinformatics Research of Zhejiang Province, Zhejiang Institute of Microbiology, Hangzhou 310000, China Contributions: (I) Conception and design: C Song; (II) Administrative support: Shaoxing Municipal Health and Family Planning Science and Technology Innovation Project (2017CX004) and Shaoxing Public Welfare Applied Research Project (2018C30058); (III) Provision of study materials or patients: None; (IV) Collection and assembly of data: C Song; (V) Data analysis and interpretation: H Chen; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors. Correspondence to: Chunjiao Song. No. 568 Zhongxing Bei Road, Shaoxing 312000, China. Email: [email protected]. Abstract: Fusion genes are known to drive and promote carcinogenesis and cancer progression. In recent years, the rapid development of biotechnologies has led to the discovery of a large number of fusion genes in prostate cancer specimens. To further investigate them, we summarized the fusion genes. We searched related articles in PubMed, CNKI (Chinese National Knowledge Infrastructure) and other databases, and the data of 92 literatures were summarized after preliminary screening. In this review, we summarized approximated 400 fusion genes since the first specific fusion TMPRSS2-ERG was discovered in prostate cancer in 2005. Some of these are prostate cancer specific, some are high-frequency in the prostate cancer of a certain ethnic group. This is a summary of scientific research in related fields and suggests that some fusion genes may become biomarkers or the targets for individualized therapies. -
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 -
Manuscript S4.0N Supplementary Material
Integrative genomic and epigenomic analyses identified IRAK1 as a novel target for chronic inflammation-driven prostate tumorigenesis Saheed Oluwasina Oseni1,*, Olayinka Adebayo2, Adeyinka Adebayo3, Alexander Kwakye4, Mirjana Pavlovic5, Waseem Asghar5, James Hartmann1, Gregg B. Fields6, and James Kumi-Diaka1 Affiliations: 1 Department of Biological Sciences, Florida Atlantic University, Florida, USA 2 Morehouse School of Medicine, Atlanta, Georgia, USA 3 Georgia Institute of Technology, Atlanta, Georgia, USA 4 College of Medicine, Florida Atlantic University, Florida, USA 5 Department of Computer and Electrical Engineering, Florida Atlantic University, Florida, USA 6 Department of Chemistry & Biochemistry and I-HEALTH, Florida Atlantic University, Florida, USA Corresponding Author: [email protected] (S.O.O) List of Supplementary Materials Supplementary Method S1: Preparing genomic and clinical data for biological network analysis Supplementary Method S2: WGCNA R packages for biological network analysis Supplementary Table S1: Enrichr gene enrichment analysis of the 10 inflammatory genes in the magenta module based on a significant p-value. Supplementary Table S2: Functional impact ranking rubrics for IRAK1 gene mutations in PRAD samples using algorithms from different tools. Supplementary Figure S1: Batch effect correction plots for the PRAD dataset. Supplementary Figure S2: Hierarchical sample cluster heatmap of PRAD eigengene network. Supplementary Figure S3: Hierarchical gene expression cluster heatmap of PRAD eigengene network. Supplementary Figure S4: Kaplan-Meier DFS survival analysis for high-expressing vs low-expressing PRAD samples. Supplementary Figure S5: Receiver Operating Characteristic (ROC) analysis for IRAK in predicting cancer relapse. Supplementary Figure S6: Heatmap of the expression profile of IRAK family genes in indolent PRAD patients (n = 472) showing the overexpression of IRAK1 compared to other IRAKs. -
Exploring the Role of Endoplasmic Reticulum Stress in Hepatocellular Carcinoma Through Mining of the Human Protein Atlas
biology Article Exploring the Role of Endoplasmic Reticulum Stress in Hepatocellular Carcinoma through mining of the Human Protein Atlas Nataša Pavlovi´cand Femke Heindryckx * Department of Medical Cell Biology, Uppsala University, 751 23 Uppsala, Sweden; [email protected] * Correspondence: [email protected] Simple Summary: Hepatocellular carcinoma is a highly deadly primary liver cancer. It is usually diagnosed at a late stage, when therapeutic options are scarce, and the lack of predictive biomarkers poses a challenge for early detection. A known hallmark of hepatocellular carcinoma is the accu- mulation of misfolded proteins in the endoplasmic reticulum (ER), known as ER-stress. Growing experimental evidence suggests that ER-stress is involved in liver cancer initiation and progression. However, it remains unclear if ER-stress markers can be used as therapeutic targets or biomarkers for patients with liver cancer. In this study, we evaluated the prognostic value of proteins involved in managing ER-stress in liver cancer by mining a publicly available patient-derived database, the Human Protein Atlas. We thereby identified 44 ER-stress-associated proteins as prognostic markers in liver cancer. Furthermore, we discussed the expression of these markers in relation to disease stage, age, sex, ethnicity, and tissue localization. Abstract: Endoplasmic reticulum (ER) stress and actors of unfolded protein response (UPR) have Citation: Pavlovi´c,N.; Heindryckx, F. emerged as key hallmarks of hepatocarcinogenesis. Numerous reports have shown that the main Exploring the Role of Endoplasmic actors in the UPR pathways are upregulated in HCC and contribute to the different facets of tumor Reticulum Stress in Hepatocellular initiation and disease progression. -
Targeting CDK4 Overcomes EMT-Mediated Tumor Heterogeneity and Therapeutic Resistance in KRAS Mutant Lung Cancer
Targeting CDK4 overcomes EMT-mediated tumor heterogeneity and therapeutic resistance in KRAS mutant lung cancer Aparna Padhye1,2, Jessica M. Konen1, B. Leticia Rodriguez1, Jared J. Fradette1, Joshua K. Ochieng1, Lixia Diao3, Jing Wang3, Wei Lu4, Luisa S. Solis4, Harsh Batra4, Maria G. Raso4, Michael D. Peoples5, Rosalba Minelli5, Alessandro Carugo5, Christopher A. Bristow5, Don L. Gibbons1,6* 1. Department of Thoracic/Head and Neck Medical Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. 2. University of Texas Graduate School of Biomedical Sciences, Houston, TX 77030, USA. 3. Department of Bioinformatics and Computational Biology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. 4. Department of Translational Molecular Pathology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA 5. TRACTION Platform, Division of Therapeutics Development, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. 6. Department of Molecular and Cellular Oncology, University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. *Corresponding author. Email: [email protected] Supplemental Methods Plasmids, Transfections, and Lentiviral Generation and Transduction Transfections of si-RNAs werr performed using the Lipofectamine 2000 Transfection Reagent (Thermo Fisher Scientific). Constitutive Cdkn1a overexpression cell lines were generated by using Cdkn1a mouse Tagged ORF Clone (Origene (NM_007669)). Cdkn1a ORF was also subcloned into dox-inducible pTRIPZ-GFP vector to generate doxycycline inducible cell lines using EcoRI and AgeI restriction cut sites. Constitutive Cdkn1a shRNAs were purchased from Milipore sigma. The sequences used in the experiments are listed in table S11. Dox- inducible shRNAs were expressed in Tet-pLKO-puro vector with a scramble sequence as the non-targeting control. -
The Lipogenic Regulator SREBP2 Induces Transferrin in Circulating Melanoma Cells and Suppresses Ferroptosis
Published OnlineFirst November 17, 2020; DOI: 10.1158/2159-8290.CD-19-1500 RESEARCH ARTICLE The Lipogenic Regulator SREBP2 Induces Transferrin in Circulating Melanoma Cells and Suppresses Ferroptosis Xin Hong1, Whijae Roh2, Ryan J. Sullivan1,3, Keith H.K. Wong4,5, Ben S. Wittner1, Hongshan Guo1, Taronish D. Dubash1, Moshe Sade-Feldman1,2, Benjamin Wesley1, Elad Horwitz1, Genevieve M. Boland1,6, Dieuwke L. Marvin1, Todd Bonesteel1, Chenyue Lu1, François Aguet2, Risa Burr1, Samuel S. Freeman2, Laxmi Parida9, Katherine Calhoun1,4, Michelle K. Jewett1,4, Linda T. Nieman1, Nir Hacohen1,2, Anders M. Näär1, David T. Ting1,3, Mehmet Toner4,5,6, Shannon L. Stott1,3, Gad Getz1,2,7, Shyamala Maheswaran1,6, and Daniel A. Haber1,3,8 ABSTRACT Circulating tumor cells (CTC) are shed by cancer into the bloodstream, where a viable subset overcomes oxidative stress to initiate metastasis. We show that Bianca Dunn by Illustration single CTCs from patients with melanoma coordinately upregulate lipogenesis and iron homeostasis pathways. These are correlated with both intrinsic and acquired resistance to BRAF inhibitors across clonal cultures of BRAF-mutant CTCs. The lipogenesis regulator SREBP2 directly induces transcription of the iron carrier Transferrin (TF), reducing intracellular iron pools, reactive oxygen species, and lipid peroxidation, thereby conferring resistance to inducers of ferroptosis. Knockdown of endogenous TF impairs tumor formation by melanoma CTCs, and their tumorigenic defects are partially rescued by the lipophilic antioxidants ferrostatin-1 and vitamin E. In a prospective melanoma cohort, presence of CTCs with high lipogenic and iron metabolic RNA signatures is correlated with adverse clinical outcome, irre- spective of treatment regimen.