Lkb1 Deletion Drives SCC Transition and Tumor
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Screening and Identification of Key Biomarkers in Clear Cell Renal Cell Carcinoma Based on Bioinformatics Analysis
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Screening and identification of key biomarkers in clear cell renal cell carcinoma based on bioinformatics analysis Basavaraj Vastrad1, Chanabasayya Vastrad*2 , Iranna Kotturshetti 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. 3. Department of Ayurveda, Rajiv Gandhi Education Society`s Ayurvedic Medical College, Ron, Karnataka 562209, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.21.423889; this version posted December 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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 Clear cell renal cell carcinoma (ccRCC) is one of the most common types of malignancy of the urinary system. The pathogenesis and effective diagnosis of ccRCC have become popular topics for research in the previous decade. In the current study, an integrated bioinformatics analysis was performed to identify core genes associated in ccRCC. An expression dataset (GSE105261) was downloaded from the Gene Expression Omnibus database, and included 26 ccRCC and 9 normal kideny samples. Assessment of the microarray dataset led to the recognition of differentially expressed genes (DEGs), which was subsequently used for pathway and gene ontology (GO) enrichment analysis. -
Immuno-Oncology Panel 1
Immuno-Oncology panel 1 Gene Symbol Target protein name UniProt ID (& link) Modification* (56 analytes) ADA17 ADAM17 metalloprotease domain 17 P78536 *blanks mean the assay detects the ANXA1 Annexin A1 P04083 non-modified peptide sequence ANXA1 Annexin A1 P04083 ARG2 arginase, type II P78540 ATM Serine-protein kinase ATM, Ataxia telangiectasia mutated Q13315 pS2996 ATM Serine-protein kinase ATM, Ataxia telangiectasia mutated Q13315 ATM Serine-protein kinase ATM, Ataxia telangiectasia mutated Q13315 pS367 ATM Serine-protein kinase ATM, Ataxia telangiectasia mutated Q13315 C10orf54 / VISTA chromosome 10 open reading frame 54 Q9H7M9 CCL5 C-C motif chemokine ligand 5 P13501 CD14 CD14 molecule P08571 CD163 CD163 molecule Q86VB7 CD274 / PDL1 Programmed cell death 1 ligand 1 CD274 Q9NZQ7 CD33 CD33 molecule P20138 CD40/TNR5 tumor necrosis factor receptor superfamily member 5 P25942 CD40/TNR5 tumor necrosis factor receptor superfamily member 5 P25942 CD47 CD47 molecule Q08722 CD70 CD70 antigen P32970 CD74/HG2A CD74 molecule, major histocompatibility complex, class II invariant chain Q8SNA0 CEACAM8 carcinoembryonic antigen-related cell adhesion molecule 8 P31997 CX3CL1 C-X3-C motif chemokine ligand 1 P78423 CXCL10 C-X-C motif chemokine ligand 10 P02778 CXCL13 chemokine (C-X-C motif) ligand 13 O43927 ENTPD1 ectonucleoside triphosphate diphosphohydrolase 1 Q86VV3 FAS/TNR6 Fas (TNF receptor superfamily, member 6) P25445 pY291 FAS/TNR6 Fas (TNF receptor superfamily, member 6) P25445 GAPDH Glyceraldehyde-3-phosphate dehydrogenase P04406 HAVCR2 hepatitis -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
Studies on the Proteome of Human Hair - Identifcation of Histones and Deamidated Keratins Received: 15 August 2017 Sunil S
www.nature.com/scientificreports OPEN Studies on the Proteome of Human Hair - Identifcation of Histones and Deamidated Keratins Received: 15 August 2017 Sunil S. Adav 1, Roopa S. Subbaiaih2, Swat Kim Kerk 2, Amelia Yilin Lee 2,3, Hui Ying Lai3,4, Accepted: 12 January 2018 Kee Woei Ng3,4,7, Siu Kwan Sze 1 & Artur Schmidtchen2,5,6 Published: xx xx xxxx Human hair is laminar-fbrous tissue and an evolutionarily old keratinization product of follicle trichocytes. Studies on the hair proteome can give new insights into hair function and lead to the development of novel biomarkers for hair in health and disease. Human hair proteins were extracted by detergent and detergent-free techniques. We adopted a shotgun proteomics approach, which demonstrated a large extractability and variety of hair proteins after detergent extraction. We found an enrichment of keratin, keratin-associated proteins (KAPs), and intermediate flament proteins, which were part of protein networks associated with response to stress, innate immunity, epidermis development, and the hair cycle. Our analysis also revealed a signifcant deamidation of keratin type I and II, and KAPs. The hair shafts were found to contain several types of histones, which are well known to exert antimicrobial activity. Analysis of the hair proteome, particularly its composition, protein abundances, deamidated hair proteins, and modifcation sites, may ofer a novel approach to explore potential biomarkers of hair health quality, hair diseases, and aging. Hair is an important and evolutionarily conserved structure. It originates from hair follicles deep within the der- mis and is mainly composed of hair keratins and KAPs, which form a complex network that contributes to the rigidity and mechanical properties. -
An Anticomplement Agent That Homes to the Damaged Brain and Promotes Recovery After Traumatic Brain Injury in Mice
An anticomplement agent that homes to the damaged brain and promotes recovery after traumatic brain injury in mice Marieta M. Rusevaa,1,2, Valeria Ramagliab,1, B. Paul Morgana, and Claire L. Harrisa,3 aInstitute of Infection and Immunity, School of Medicine, Cardiff University, Cardiff CF14 4XN, United Kingdom; and bDepartment of Genome Analysis, Academic Medical Center, Amsterdam 1105 AZ, The Netherlands Edited by Douglas T. Fearon, Cornell University, Cambridge, United Kingdom, and approved September 29, 2015 (received for review July 15, 2015) Activation of complement is a key determinant of neuropathology to rapidly and specifically inhibit MAC at sites of complement and disability after traumatic brain injury (TBI), and inhibition is activation, and test its therapeutic potential in experimental TBI. neuroprotective. However, systemic complement is essential to The construct, termed CD59-2a-CRIg, comprises CD59a linked fight infections, a critical complication of TBI. We describe a to CRIg via the murine IgG2a hinge. CD59a prevents assembly targeted complement inhibitor, comprising complement receptor of MAC in cell membranes (16), whereas CRIg binds C3b/iC3b of the Ig superfamily (CRIg) fused with complement regulator CD59a, deposited at sites of complement activation (17). The IgG2a designed to inhibit membrane attack complex (MAC) assembly at hinge promotes dimerization to increase ligand avidity. CD59- sites of C3b/iC3b deposition. CRIg and CD59a were linked via the 2a-CRIg protected in the TBI model, demonstrating that site- IgG2a hinge, yielding CD59-2a-CRIg dimer with increased iC3b/C3b targeted anti-MAC therapeutics may be effective in prevention binding avidity and MAC inhibitory activity. CD59-2a-CRIg inhibited of secondary neuropathology and improve neurologic recovery MAC formation and prevented complement-mediated lysis in vitro. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
Cellular and Molecular Signatures in the Disease Tissue of Early
Cellular and Molecular Signatures in the Disease Tissue of Early Rheumatoid Arthritis Stratify Clinical Response to csDMARD-Therapy and Predict Radiographic Progression Frances Humby1,* Myles Lewis1,* Nandhini Ramamoorthi2, Jason Hackney3, Michael Barnes1, Michele Bombardieri1, Francesca Setiadi2, Stephen Kelly1, Fabiola Bene1, Maria di Cicco1, Sudeh Riahi1, Vidalba Rocher-Ros1, Nora Ng1, Ilias Lazorou1, Rebecca E. Hands1, Desiree van der Heijde4, Robert Landewé5, Annette van der Helm-van Mil4, Alberto Cauli6, Iain B. McInnes7, Christopher D. Buckley8, Ernest Choy9, Peter Taylor10, Michael J. Townsend2 & Costantino Pitzalis1 1Centre for Experimental Medicine and Rheumatology, William Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, Charterhouse Square, London EC1M 6BQ, UK. Departments of 2Biomarker Discovery OMNI, 3Bioinformatics and Computational Biology, Genentech Research and Early Development, South San Francisco, California 94080 USA 4Department of Rheumatology, Leiden University Medical Center, The Netherlands 5Department of Clinical Immunology & Rheumatology, Amsterdam Rheumatology & Immunology Center, Amsterdam, The Netherlands 6Rheumatology Unit, Department of Medical Sciences, Policlinico of the University of Cagliari, Cagliari, Italy 7Institute of Infection, Immunity and Inflammation, University of Glasgow, Glasgow G12 8TA, UK 8Rheumatology Research Group, Institute of Inflammation and Ageing (IIA), University of Birmingham, Birmingham B15 2WB, UK 9Institute of -
Plakophilin-2 Haploinsufficiency Causes Calcium Handling
International Journal of Molecular Sciences Article Plakophilin-2 Haploinsufficiency Causes Calcium Handling Deficits and Modulates the Cardiac Response Towards Stress Chantal J.M. van Opbergen 1 , Maartje Noorman 1, Anna Pfenniger 2, Jaël S. Copier 1, Sarah H. Vermij 2,3 , Zhen Li 2, Roel van der Nagel 1, Mingliang Zhang 2, Jacques M.T. de Bakker 1,4, Aaron M. Glass 5, Peter J. Mohler 6,7, Steven M. Taffet 5, Marc A. Vos 1, Harold V.M. van Rijen 1, Mario Delmar 2 and Toon A.B. van Veen 1,* 1 Department of Medical Physiology, Division of Heart & Lungs, University Medical Center Utrecht, Yalelaan 50, 3584CM Utrecht, The Netherlands 2 Division of Cardiology, NYU School of Medicine, New York, NY 10016, USA 3 Institute of Biochemistry and Molecular Medicine, University of Bern, 3012 Bern, Switzerland 4 Department of Medical Biology, Academic Medical Center Amsterdam, 1105AZ Amsterdam, The Netherlands 5 Department of Microbiology and Immunology, SUNY Upstate Medical University, Syracuse, NY 13210, USA 6 Dorothy M. Davis Heart and Lung Research Institute, The Ohio State University College of Medicine and Wexner Medical Center, Columbus, OH 43210, USA 7 Departments of Physiology & Cell Biology and Internal Medicine, Division of Cardiovascular Medicine, The Ohio State University College of Medicine Wexner Medical Center, Columbus, OH 43210, USA * Correspondence: [email protected] Received: 1 August 2019; Accepted: 19 August 2019; Published: 21 August 2019 Abstract: Human variants in plakophilin-2 (PKP2) associate with most cases of familial arrhythmogenic cardiomyopathy (ACM). Recent studies show that PKP2 not only maintains intercellular coupling, but also regulates transcription of genes involved in Ca2+ cycling and cardiac rhythm. -
Supplementary File 2A Revised
Supplementary file 2A. Differentially expressed genes in aldosteronomas compared to all other samples, ranked according to statistical significance. Missing values were not allowed in aldosteronomas, but to a maximum of five in the other samples. Acc UGCluster Name Symbol log Fold Change P - Value Adj. P-Value B R99527 Hs.8162 Hypothetical protein MGC39372 MGC39372 2,17 6,3E-09 5,1E-05 10,2 AA398335 Hs.10414 Kelch domain containing 8A KLHDC8A 2,26 1,2E-08 5,1E-05 9,56 AA441933 Hs.519075 Leiomodin 1 (smooth muscle) LMOD1 2,33 1,3E-08 5,1E-05 9,54 AA630120 Hs.78781 Vascular endothelial growth factor B VEGFB 1,24 1,1E-07 2,9E-04 7,59 R07846 Data not found 3,71 1,2E-07 2,9E-04 7,49 W92795 Hs.434386 Hypothetical protein LOC201229 LOC201229 1,55 2,0E-07 4,0E-04 7,03 AA454564 Hs.323396 Family with sequence similarity 54, member B FAM54B 1,25 3,0E-07 5,2E-04 6,65 AA775249 Hs.513633 G protein-coupled receptor 56 GPR56 -1,63 4,3E-07 6,4E-04 6,33 AA012822 Hs.713814 Oxysterol bining protein OSBP 1,35 5,3E-07 7,1E-04 6,14 R45592 Hs.655271 Regulating synaptic membrane exocytosis 2 RIMS2 2,51 5,9E-07 7,1E-04 6,04 AA282936 Hs.240 M-phase phosphoprotein 1 MPHOSPH -1,40 8,1E-07 8,9E-04 5,74 N34945 Hs.234898 Acetyl-Coenzyme A carboxylase beta ACACB 0,87 9,7E-07 9,8E-04 5,58 R07322 Hs.464137 Acyl-Coenzyme A oxidase 1, palmitoyl ACOX1 0,82 1,3E-06 1,2E-03 5,35 R77144 Hs.488835 Transmembrane protein 120A TMEM120A 1,55 1,7E-06 1,4E-03 5,07 H68542 Hs.420009 Transcribed locus 1,07 1,7E-06 1,4E-03 5,06 AA410184 Hs.696454 PBX/knotted 1 homeobox 2 PKNOX2 1,78 2,0E-06 -
1714 Gene Comprehensive Cancer Panel Enriched for Clinically Actionable Genes with Additional Biologically Relevant Genes 400-500X Average Coverage on Tumor
xO GENE PANEL 1714 gene comprehensive cancer panel enriched for clinically actionable genes with additional biologically relevant genes 400-500x average coverage on tumor Genes A-C Genes D-F Genes G-I Genes J-L AATK ATAD2B BTG1 CDH7 CREM DACH1 EPHA1 FES G6PC3 HGF IL18RAP JADE1 LMO1 ABCA1 ATF1 BTG2 CDK1 CRHR1 DACH2 EPHA2 FEV G6PD HIF1A IL1R1 JAK1 LMO2 ABCB1 ATM BTG3 CDK10 CRK DAXX EPHA3 FGF1 GAB1 HIF1AN IL1R2 JAK2 LMO7 ABCB11 ATR BTK CDK11A CRKL DBH EPHA4 FGF10 GAB2 HIST1H1E IL1RAP JAK3 LMTK2 ABCB4 ATRX BTRC CDK11B CRLF2 DCC EPHA5 FGF11 GABPA HIST1H3B IL20RA JARID2 LMTK3 ABCC1 AURKA BUB1 CDK12 CRTC1 DCUN1D1 EPHA6 FGF12 GALNT12 HIST1H4E IL20RB JAZF1 LPHN2 ABCC2 AURKB BUB1B CDK13 CRTC2 DCUN1D2 EPHA7 FGF13 GATA1 HLA-A IL21R JMJD1C LPHN3 ABCG1 AURKC BUB3 CDK14 CRTC3 DDB2 EPHA8 FGF14 GATA2 HLA-B IL22RA1 JMJD4 LPP ABCG2 AXIN1 C11orf30 CDK15 CSF1 DDIT3 EPHB1 FGF16 GATA3 HLF IL22RA2 JMJD6 LRP1B ABI1 AXIN2 CACNA1C CDK16 CSF1R DDR1 EPHB2 FGF17 GATA5 HLTF IL23R JMJD7 LRP5 ABL1 AXL CACNA1S CDK17 CSF2RA DDR2 EPHB3 FGF18 GATA6 HMGA1 IL2RA JMJD8 LRP6 ABL2 B2M CACNB2 CDK18 CSF2RB DDX3X EPHB4 FGF19 GDNF HMGA2 IL2RB JUN LRRK2 ACE BABAM1 CADM2 CDK19 CSF3R DDX5 EPHB6 FGF2 GFI1 HMGCR IL2RG JUNB LSM1 ACSL6 BACH1 CALR CDK2 CSK DDX6 EPOR FGF20 GFI1B HNF1A IL3 JUND LTK ACTA2 BACH2 CAMTA1 CDK20 CSNK1D DEK ERBB2 FGF21 GFRA4 HNF1B IL3RA JUP LYL1 ACTC1 BAG4 CAPRIN2 CDK3 CSNK1E DHFR ERBB3 FGF22 GGCX HNRNPA3 IL4R KAT2A LYN ACVR1 BAI3 CARD10 CDK4 CTCF DHH ERBB4 FGF23 GHR HOXA10 IL5RA KAT2B LZTR1 ACVR1B BAP1 CARD11 CDK5 CTCFL DIAPH1 ERCC1 FGF3 GID4 HOXA11 IL6R KAT5 ACVR2A -
Supplement 1A Steffensen Et
Liver Wild-type Knockout C T C T 1 2 4 7 8 9 1 2 4 5 7 9 1 1 1 1 1 1 C C C T T T C C C T T T W W W W W W K K K K K K IMAGE:793166 RIKEN cDNA 6720463E02 gene IMAGE:1447421 ESTs, Weakly similar to ZF37 MOUSE ZINC FINGER PROTEIN 37 [M.musculus] IMAGE:934291 RIKEN cDNA 2810418N01 gene IMAGE:1247525 small EDRK-rich f2actor IMAGE:1449402 expressed sequence AW321064 IMAGE:1279847 ESTs IMAGE:518737 expressed sequence AW049941 IMAGE:860231 a disintegrin and metalloproteinase domain 17 IMAGE:642836 CD86 antigen IMAGE:1003885 phosphoribosyl pyrophosphate sy1nthetase IMAGE:524862 RIKEN cDNA 5730469D23 gene IMAGE:1264473 protein inhibitor of activat1ed STAT IMAGE:847035 RIKEN cDNA 4833422F06 gene IMAGE:374550 requiem IMAGE:976520 nuclear receptor coact4ivator IMAGE:1264311 Unknown IMAGE:976735 expressed sequence AI987692 IMAGE:976659 cathepsLin IMAGE:1477580 RIKEN cDNA 1600010J02 gene IMAGE:1277168 ribosomal protein, large, P1 IMAGE:524842 RIKEN cDNA 0710008D09 gene IMAGE:373019 split hand/foot delete1d gene IMAGE:404428 expressed sequence AI413851 IMAGE:619810 RIKEN cDNA 1700003F10 gene IMAGE:1749558 caspase 3, apoptosis related cysteine protease IMAGE:718718 RIKEN cDNA 2810003F23 gene IMAGE:819789 Unknown IMAGE:524474 ATP-binding cassette, sub-family A ABC1, member IMAGE:804950 Mus musculus, Similar to ribosomal protein S20, clone MGC:6876 IMAGE:2651405, mRNA, complete cds IMAGE:806143 gap junction membrane channel prot2ein beta IMAGE:1745887 expressed sequence AI836376 IMAGE:779426 RIKEN cDNA 5230400G24 gene IMAGE:1125615 Unknown IMAGE:535025 DNA -
Somatic Mutational Landscapes of Adherens Junctions and Their
1 Somatic mutational landscapes of adherens junctions and their 2 functional consequences in cutaneous melanoma development 3 4 Praveen Kumar Korla,1 Chih-Chieh Chen,2 Daniel Esguerra Gracilla,1 Ming-Tsung Lai,3 Chih- 5 Mei Chen,4 Huan Yuan Chen,5 Tritium Hwang,1 Shih-Yin Chen,4,6,* Jim Jinn-Chyuan Sheu1,4, 6-9,* 6 1Institute of Biomedical Sciences, National Sun Yat-sen University, Kaohsiung 80242, Taiwan; 7 2Institute of Medical Science and Technology, National Sun Yat-sen University, Kaohsiung 80424, 8 Taiwan; 3Department of Pathology, Taichung Hospital, Ministry of Health and Welfare, Taichung 9 40343, Taiwan; 4Genetics Center, China Medical University Hospital, Taichung 40447, Taiwan; 10 5Institute of Biomedical Sciences, Academia Sinica, Taipei 11574, Taiwan; 6School of Chinese 11 Medicine, China Medical University, Taichung 40402, Taiwan; 7Department of Health and 12 Nutrition Biotechnology, Asia University, Taichung 41354, Taiwan; 8Department of 13 Biotechnology, Kaohsiung Medical University, Kaohsiung 80708, Taiwan; 9Institute of 14 Biopharmaceutical Sciences, National Sun Yat-sen University, Kaohsiung 80242, Taiwan 15 16 PKK, CCC and DEG contributed equally to this study. 17 *Correspondence to: Dr. Shih-Yin Chen ([email protected]) at Genetics Center, China 18 Medical University Hospital, Taichung, 40447, TAIWAN; or Dr. Jim Jinn-Chyuan Sheu 19 ([email protected]) at Institute of Biomedical Sciences, National Sun Yat-sen 20 University, Kaohsiung City 80424, TAIWAN. 21 22 Running title: mutational landscape of cadherins in melanoma 1 23 Abstract 24 Cell-cell interaction in skin homeostasis is tightly controlled by adherens junctions (AJs). 25 Alterations in such regulation lead to melanoma development.