Functional Characterization of Lysosomal Interaction of Akt with VRK2
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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 -
Cloning of an Alpha-TFEB Fusion in Renal Tumors Harboring the T(6;11)(P21;Q13) Chromosome Translocation
Cloning of an Alpha-TFEB fusion in renal tumors harboring the t(6;11)(p21;q13) chromosome translocation Ian J. Davis*†, Bae-Li Hsi‡, Jason D. Arroyo*, Sara O. Vargas§, Y. Albert Yeh§, Gabriela Motyckova*, Patricia Valencia*, Antonio R. Perez-Atayde§, Pedram Argani¶, Marc Ladanyiʈ, Jonathan A. Fletcher*‡, and David E. Fisher*†** *Department of Pediatric Oncology, Dana–Farber Cancer Institute, Boston, MA 02115; Departments of †Medicine and §Pathology, Children’s Hospital Boston, Boston, MA 02115; ‡Department of Pathology, Brigham and Women’s Hospital, Boston, MA 02115; ʈDepartment of Pathology, Memorial Sloan–Kettering Cancer Center, New York, NY 10021; and ¶Department of Pathology, The Johns Hopkins Hospital, Baltimore, MD 21287 Communicated by Phillip A. Sharp, Massachusetts Institute of Technology, Cambridge, MA, March 12, 2003 (received for review January 28, 2003) MITF, TFE3, TFEB, and TFEC comprise a transcription factor family Among members of the MiT family, TFE3 has previously been (MiT) that regulates key developmental pathways in several cell implicated in cancer-associated translocations. TFE3 transloca- lineages. Like MYC, MiT members are basic helix-loop-helix-leucine tions occur in distinctive renal carcinomas of childhood and zipper transcription factors. MiT members share virtually perfect young adults and in alveolar soft part sarcoma. In these trans- homology in their DNA binding domains and bind a common DNA locations, the DNA binding domain of TFE3 is fused to various motif. Translocations of TFE3 occur in specific subsets of human N-terminal partners, including PRCC, NonO (p54nrb), PSF, or renal cell carcinomas and in alveolar soft part sarcomas. Although ASPL (15–20). Although the mechanism through which these multiple translocation partners are fused to TFE3, each transloca- fusions contribute to oncogenesis remains unclear, several stud- tion product retains TFE3’s basic helix–loop–helix leucine zipper. -
Comprehensive Assessment of Indian Variations in the Druggable Kinome Landscape Highlights Distinct Insights at the Sequence, Structure and Pharmacogenomic Stratum
SUPPLEMENTARY MATERIAL Comprehensive assessment of Indian variations in the druggable kinome landscape highlights distinct insights at the sequence, structure and pharmacogenomic stratum Gayatri Panda1‡, Neha Mishra1‡, Disha Sharma2,3, Rahul C. Bhoyar3, Abhinav Jain2,3, Mohamed Imran2,3, Vigneshwar Senthilvel2,3, Mohit Kumar Divakar2,3, Anushree Mishra3, Priyanka Banerjee4, Sridhar Sivasubbu2,3, Vinod Scaria2,3, Arjun Ray1* 1 Department of Computational Biology, Indraprastha Institute of Information Technology, Okhla, India. 2 Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India. 3 CSIR-Institute of Genomics and Integrative Biology, Mathura Road, Delhi-110020, India. 4 Institute for Physiology, Charite-University of Medicine, Berlin, 10115 Berlin, Germany. ‡These authors contributed equally to this work. * [email protected] TABLE OF CONTENTS Name Title Supplemental_Figure_S1 Fauchere and Pliska hydrophobicity scale for variations in structure data Supplemental_Figure_S2 Phenotypic drug-drug correlogram Supplemental_Table_S1 545 kinase coding genes used in the study Supplemental_Table_S2 Classes and count of kinase coding genes Supplemental_Table_S3 Allele frequency Indian v/s other populations from 1000 genome data(1000g2015). Supplemental_Table_S4 IndiGen Structure Data- consisting of 12 genes and their 22 variants Supplemental_Table_S5 Genes, PDB ids, mutations in IndiGen data and associated drugs (FDA approved) Supplemental_Table_S6 Data used for docking and binding pocket similarity analysis Supplemental_Table_S7 -
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. -
Developing Small Molecule Inhibitors of ALK2: a Serine/Threonine Kinase Implicated in Diffuse Intrinsic Pontine Glioma
Developing Small Molecule Inhibitors of ALK2: a Serine/Threonine Kinase Implicated in Diffuse Intrinsic Pontine Glioma by Deeba Ensan A thesis submitted in conformity with the requirements for the degree of Master of Science Pharmacology and Toxicology University of Toronto © Copyright by Deeba Ensan 2020 Developing Small Molecule Inhibitors of ALK2: a Serine/Threonine Kinase Implicated in Diffuse Intrinsic Pontine Glioma Deeba Ensan Master of Science Pharmacology and Toxicology University of Toronto 2020 Abstract Diffuse intrinsic pontine glioma (DIPG) is an aggressive pediatric cancer for which no effective chemotherapeutic drugs exist. Analysis of the genomic landscape of this disease has led to the identification of the serine/threonine kinase ALK2 as a potential target for therapeutic intervention. In this work, we developed two separate series of potent type I inhibitors of ALK2 based on the previously reported inhibitor LDN-214117. The first structure-activity relationship (SAR) study focuses on improving the selectivity, permeability and pharmacokinetic profile of M4K2149, a benzamide analogue with reduced off-target affinity for the hERG potassium channel. The second part of this thesis highlights the efforts made to develop a conformationally constrained inhibitor that was rigidified into the biologically active configuration of M4K2009, the lead compound of this project. Future studies will assess the permeability of select compounds in a Caco-2 permeability assay and their PK profiles in vivo. ii Acknowledgments Completing my Master’s degree at the Ontario Institute for Cancer Research (OICR) was truly an eye-opening experience. The beginning of my training was most certainly taxing. However, the support I received from the Drug Discovery team facilitated my adaptation to a new environment. -
The Mitotic Checkpoint Is a Targetable Vulnerability of Carboplatin-Resistant
www.nature.com/scientificreports OPEN The mitotic checkpoint is a targetable vulnerability of carboplatin‑resistant triple negative breast cancers Stijn Moens1,2, Peihua Zhao1,2, Maria Francesca Baietti1,2, Oliviero Marinelli2,3, Delphi Van Haver4,5,6, Francis Impens4,5,6, Giuseppe Floris7,8, Elisabetta Marangoni9, Patrick Neven2,10, Daniela Annibali2,11,13, Anna A. Sablina1,2,13 & Frédéric Amant2,10,12,13* Triple‑negative breast cancer (TNBC) is the most aggressive breast cancer subtype, lacking efective therapy. Many TNBCs show remarkable response to carboplatin‑based chemotherapy, but often develop resistance over time. With increasing use of carboplatin in the clinic, there is a pressing need to identify vulnerabilities of carboplatin‑resistant tumors. In this study, we generated carboplatin‑resistant TNBC MDA‑MB‑468 cell line and patient derived TNBC xenograft models. Mass spectrometry‑based proteome profling demonstrated that carboplatin resistance in TNBC is linked to drastic metabolism rewiring and upregulation of anti‑oxidative response that supports cell replication by maintaining low levels of DNA damage in the presence of carboplatin. Carboplatin‑ resistant cells also exhibited dysregulation of the mitotic checkpoint. A kinome shRNA screen revealed that carboplatin‑resistant cells are vulnerable to the depletion of the mitotic checkpoint regulators, whereas the checkpoint kinases CHEK1 and WEE1 are indispensable for the survival of carboplatin‑ resistant cells in the presence of carboplatin. We confrmed that pharmacological inhibition of CHEK1 by prexasertib in the presence of carboplatin is well tolerated by mice and suppresses the growth of carboplatin‑resistant TNBC xenografts. Thus, abrogation of the mitotic checkpoint by CHEK1 inhibition re‑sensitizes carboplatin‑resistant TNBCs to carboplatin and represents a potential strategy for the treatment of carboplatin‑resistant TNBCs. -
Global Proteome Changes in Liver Tissue 6 Weeks After FOLFOX Treatment of Colorectal Cancer Liver Metastases
Proteomes 2016, 4, 30; doi:10.3390/proteomes4040030 S1 of S5 Supplementary Materials: Global Proteome Changes in Liver Tissue 6 Weeks After FOLFOX Treatment of Colorectal Cancer Liver Metastases Jozef Urdzik, Anna Vildhede, Jacek R. Wiśniewski, Frans Duraj, Ulf Haglund, Per Artursson and Agneta Norén Table S1. Clinical data. FOLFOX All Patients No Chemotherapy Clinical Characteristics Expressed By Treatment p-Value (n = 15) (n = 7) (n = 8) Gender (male) n (%) 11 (73%) 5 (63%) 6 (86%) 0.57 Age (years) median, IQR 59 (58–69) 63 (58–70) 58 (53–70) 0.40 BMI median, IQR 25.6 (24.1–30.0) 25.0 (23.7–27.6) 29.8 (24.2–31.0) 0.19 Number of FOLFOX cures median, IQR - 5 (4–7) - Delay after FOLFOX cessation median, IQR - 6 (5–8) - (weeks) Major liver resection n (%) 12 (80%) 7 (88%) 5 (71%) 0.57 Bleeding preoperatively (mL) median, IQR 600 (300–1700) 450 (300–600) 1100 (400–2200) 0.12 Transfusion units median, IQR 0 (0–0) 0 (0–0) 0 (0–0) 1.00 peroperatively Transfusion units median, IQR 0 (0–0) 0 (0–0) 0 (0–0) 0.69 postoperatively Hospital stay (days) median, IQR 10 (8–15) 10 (8–14) 10 (7–16) 0.78 Clavien complication grade 3 n (%) 5 (33%) 2 (25%) 3 (43%) 0.61 or more Table S2. Classifying proteins according Recursive Feature Elimination-Support Vector Machine model resulting in list of 184 proteins with classifying error rate 20%. Gene Names Fold Unique Protein Names Ranks Peptides Alt. Protein ID Change Peptides MCM2 DNA replication licensing factor MCM2 0 3.40 12 12 CAMK2G; Calcium/calmodulin-dependent protein kinase type CAMK2A; II subunit gamma; -
Autophagy Activation by Transcription Factor EB (TFEB) in Striatum of HD Mice
Journal of Huntington’s Disease 5 (2016) 249–260 249 DOI 10.3233/JHD-160211 IOS Press Research Report Autophagy Activation by Transcription Factor EB (TFEB) in Striatum of HDQ175/Q7 Mice Petr Vodickaa, Kathryn Chaseb, Maria Iulianoa, Adelaide Tousleya, Dana T. Valentinea, Ellen Sappa, Kimberly B. Kegel-Gleasona, Miguel Sena-Estevesc, Neil Aroninb and Marian DiFigliaa,∗ aDepartment of Neurology, Massachusetts General Hospital and Harvard Medical School, Charlestown, MA, USA bDepartments of Medicine and Cell Biology, University of Massachusetts, Worcester, MA, USA cDepartment of Neurology, Horae Gene Therapy Center, University of Massachusetts Medical School, Albert Sherman Center, Worcester, MA, USA Abstract. Background: Mutant huntingtin (mHTT) is encoded by the Huntington’s disease (HD) gene and its accumulation in the brain contributes to HD pathogenesis. Reducing mHTT levels through activation of the autophagosome-lysosomal pathway may have therapeutic benefit. Transcription factor EB (TFEB) regulates lysosome biogenesis and autophagy. Objective: To examine if increasing TFEB protein levels in HD mouse striatum induces autophagy and influences mHTT levels. Methods: We introduced cDNA encoding TFEB with an HA tag (TFEB-HA) under the control of neuron specific synapsin 1 promoter into the striatum of 3 month old HDQ175/Q7 mice using adeno-associated virus AAV2/9. The levels of exogenous TFEB were analyzed using qPCR and Western blot. Proteins involved in autophagy, levels of huntingtin, and striatal-enriched proteins were examined using biochemical and/or immunohistochemical methods. Results: In HD mice expressing TFEB-HA, HA immunoreactivity distributed throughout the striatum in neuronal cell bodies and processes and preferentially in neuronal nuclei and overlapped with a loss of DARPP32 immunoreactivity. -
Next-Generation Sequencing of Translocation Renal Cell Carcinoma Reveals Novel RNA Splicing Partners and Frequent Mutations of Chromatin-Remodeling Genes
Published OnlineFirst June 4, 2014; DOI: 10.1158/1078-0432.CCR-13-3036 Clinical Cancer Biology of Human Tumors Research Next-Generation Sequencing of Translocation Renal Cell Carcinoma Reveals Novel RNA Splicing Partners and Frequent Mutations of Chromatin-Remodeling Genes Gabriel G. Malouf1, Xiaoping Su7, Hui Yao7, Jianjun Gao8, Liangwen Xiong8, Qiuming He8, Eva Comperat 2, Jer ome^ Couturier3, Vincent Molinie4, Bernard Escudier5, Philippe Camparo6, Denaha J. Doss9, Erika J. Thompson9, David Khayat1, Christopher G. Wood10, Willie Yu11, Bin T. Teh11, John Weinstein7, and Nizar M. Tannir8 Abstract Purpose: MITF/TFE translocation renal cell carcinoma (TRCC) is a rare subtype of kidney cancer. Its incidence and the genome-wide characterization of its genetic origin have not been fully elucidated. Experimental Design: We performed RNA and exome sequencing on an exploratory set of TRCC (n ¼ 7), and validated our findings using The Cancer Genome Atlas (TCGA) clear-cell RCC (ccRCC) dataset (n ¼ 460). Results: Using the TCGA dataset, we identified seven TRCC (1.5%) cases and determined their genomic profile. We discovered three novel partners of MITF/TFE (LUC7L3, KHSRP, and KHDRBS2) that are involved in RNA splicing. TRCC displayed a unique gene expression signature as compared with other RCC types, and showed activation of MITF, the transforming growth factor b1 and the PI3K complex targets. Genes differentially spliced between TRCC and other RCC types were enriched for MITF and ID2 targets. Exome sequencing of TRCC revealed a distinct mutational spectrum as compared with ccRCC, with frequent mutations in chromatin-remodeling genes (six of eight cases, three of which were from the TCGA). -
MITF: Master Regulator of Melanocyte Development and Melanoma Oncogene
Review TRENDS in Molecular Medicine Vol.12 No.9 MITF: master regulator of melanocyte development and melanoma oncogene Carmit Levy, Mehdi Khaled and David E. Fisher Melanoma Program and Department of Pediatric Hematology and Oncology, Dana-Farber Cancer Institute, Children’s Hospital Boston, 44 Binney Street, Boston, MA 02115, USA Microphthalmia-associated transcription factor (MITF) between MITF and TFE3 in the development of the acts as a master regulator of melanocyte development, osteoclast lineage [8]. From these analyses, it seems that function and survival by modulating various differentia- MITF is the only MiT family member that is functionally tion and cell-cycle progression genes. It has been essential for normal melanocytic development. demonstrated that MITF is an amplified oncogene in a MITF is thought to mediate significant differentiation fraction of human melanomas and that it also has an effects of the a-melanocyte-stimulating hormone (a-MSH) oncogenic role in human clear cell sarcoma. However, [9,10] by transcriptionally regulating enzymes that are MITF also modulates the state of melanocyte differentia- essential for melanin production in differentiated melano- tion. Several closely related transcription factors also cytes [11]. Although these data implicate MITF in both the function as translocated oncogenes in various human survival and differentiation of melanocytes, little is known malignancies. These data place MITF between instruct- about the biochemical regulatory pathways that control ing melanocytes towards terminal differentiation and/or MITF in its different roles. pigmentation and, alternatively, promoting malignant behavior. In this review, we survey the roles of MITF as a Transcriptional and post-translational MITF regulation master lineage regulator in melanocyte development The MITF gene has a multi-promoter organization in and its emerging activities in malignancy. -
Mtor-Dependent Phosphorylation Controls TFEB Nuclear Export
bioRxiv preprint doi: https://doi.org/10.1101/339416; this version posted June 5, 2018. 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. mTOR-dependent phosphorylation controls TFEB nuclear export Gennaro Napolitano1,2, Alessandra Esposito1, Heejun Choi3, Valerio Benedetti1, Maria Matarese1, Chiara Di Malta1, Jlenia Monfregola1, Diego Luis Medina1, Jennifer Lippincott-Schwartz3,4 and Andrea Ballabio1,2,5,* 1Telethon Institute of Genetics and Medicine (TIGEM), Via Campi Flegrei 34, 80078 Pozzuoli, Naples, Italy. 2Medical Genetics Unit, Department of Medical and Translational Science, Federico II University, Via Pansini 5, 80131 Naples, Italy. 3Howard Hughes Medical Institute, Janelia Research Campus, Ashburn, VA 20147, USA. 4National Institute of Child Health and Development, National Institutes of Health, Bethesda, MD 20892, USA. 5Department of Molecular and Human Genetics and Neurological Research Institute, Baylor College of Medicine, Houston, TX 77030, USA. *Correspondence: [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/339416; this version posted June 5, 2018. 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. Abstract The transcriptional activation of catabolic processes during starvation is induced by the nuclear translocation and consequent activation of transcription factor EB (TFEB), a master modulator of autophagy and lysosomal biogenesis. However, how TFEB is inactivated upon nutrient re-feeding is currently unknown. Here we show that TFEB subcellular localization is dynamically controlled by its continuous shuttling between the cytosol and the nucleus, with the nuclear export representing a limiting step. -
TFEB Biology and Agonists at a Glance
cells Review TFEB Biology and Agonists at a Glance Mingyue Chen †, Yashuang Dai †, Siyu Liu, Yuxin Fan, Zongxian Ding and Dan Li * Collaborative Innovation Center of Yangtze River Delta Region Green Pharmaceuticals, Zhejiang University of Technology, Hangzhou 310000, China; [email protected] (M.C.); [email protected] (Y.D.); [email protected] (S.L.); [email protected] (Y.F.); [email protected] (Z.D.) * Correspondence: [email protected] † These authors contributed equally to this work. Abstract: Autophagy is a critical regulator of cellular survival, differentiation, development, and homeostasis, dysregulation of which is associated with diverse diseases including cancer and neurode- generative diseases. Transcription factor EB (TFEB), a master transcriptional regulator of autophagy and lysosome, can enhance autophagic and lysosomal biogenesis and function. TFEB has attracted a lot of attention owing to its ability to induce the intracellular clearance of pathogenic factors in a variety of disease models, suggesting that novel therapeutic strategies could be based on the modulation of TFEB activity. Therefore, TFEB agonists are a promising strategy to ameliorate diseases implicated with autophagy dysfunction. Recently, several TFEB agonists have been identified and preclinical or clinical trials are applied. In this review, we present an overview of the latest research on TFEB biology and TFEB agonists. Keywords: TFEB agonists; autophagy; lysosome; rapamycin; resveratrol Citation: Chen, M.; Dai, Y.; Liu, S.; 1. Introduction Fan, Y.; Ding, Z.; Li, D. TFEB Biology and Agonists at a Glance. Cells 2021, Autophagy occurs in all types of eukaryotic cells, which is a major cellular pathway 10, 333. https://doi.org/10.3390/ for degradation of long-lived proteins and cytoplasmic organelles [1].