Molecular Profiling and Sequential Somatic Mutation Shift In
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Identification of 10 Important Genes with Poor Prognosis in Non-Small Cell Lung Cancer Through Bioinformatical Analysis
Journal of ISSN: 2581-7388 Inno Biomedical Research and Reviews Volume 3: 2 J Biomed Res Rev 2020 Identification of 10 Important Genes with Poor Prognosis in Non-Small Cell Lung Cancer through Bioinformatical Analysis Wenbin Wu†1 1Experiment Animal Center, Experiment Center for Science and Technology, Shanghai University of Traditional Chinese Medicine, PR China †2,3 Cheng Fang 2Center for Traditional Chinese Medicine and Immunology Research, Shanghai University of Traditional Chinese Medicine, PR China Chaochao Zhang1 3Department of Immunology and Pathogenic Biology, School of Basic Medical Nanhua Hu*4 Sciences, Shanghai University of Traditional Chinese Medicine, PR China 4Department of Hepatopancreatobiliary and Traditional Chinese Medicine, Minhang *2,3 Lixin Wang Branch, Fudan University Shanghai Cancer Center, PR China † These authors contributed equally to this work Abstract Article Information Objective: The lung cancer has become the most lethal cause of Article Type: Research Article cancer-related death in China and is responsible for more than 1 million Article Number: JBRR-143 deaths all over the world every year, especially non-small cell lung cancer Received Date: 16 October, 2020 (NSCLC). Although great advance in pharmaceutical therapies for lung Accepted Date: 11 November, 2020 Published Date: 18 November, 2020 the effective biomarkers in order to improve and predict the prognosis ofcancer lung patients, cancer patients.the overall The survival integrated is still bioinformaticalpoor. It is necessary analysis, to find as out a *Corresponding author: Lixin Wang, Center for useful tool to dig up the valuable clues, can be applied to search new Traditional Chinese Medicine and Immunology Research; effective therapeutic targets. -
Transcriptome and DNA Methylation Analyses of the Molecular Mechanisms Underlying with Longissimus Dorsi Muscles at Different Stages of Development in the Polled Yak
G C A T T A C G G C A T genes Article Transcriptome and DNA Methylation Analyses of the Molecular Mechanisms Underlying with Longissimus dorsi Muscles at Different Stages of Development in the Polled Yak Xiaoming Ma 1,2, Congjun Jia 1,2, Min Chu 1,2, Donghai Fu 1,2 , Qinhui Lei 1,2, Xuezhi Ding 1,2, Xiaoyun Wu 1,2, Xian Guo 1,2, Jie Pei 1,2, Pengjia Bao 1,2, Ping Yan 1,* and Chunnian Liang 2,* 1 Animal Science Department, Lanzhou Institute of Husbandry and Pharmaceutical Sciences, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China; [email protected] (X.M.); [email protected] (C.J.); [email protected] (M.C.); [email protected] (D.F.); [email protected] (Q.L.); [email protected] (X.D.); [email protected] (X.W.); [email protected] (X.G.); [email protected] (J.P.); [email protected] (P.B.) 2 Key Laboratory for Yak Genetics, Breeding, and Reproduction Engineering of Gansu Province, Chinese Academy of Agricultural Sciences, Lanzhou 730050, China * Correspondence: [email protected] (P.Y.); [email protected] (C.L.); Tel.: +86-0931-2115288 (P.Y.); +86-0931-2115271 (C.L.) Received: 29 October 2019; Accepted: 21 November 2019; Published: 26 November 2019 Abstract: DNA methylation modifications are implicated in many biological processes. As the most common epigenetic mechanism DNA methylation also affects muscle growth and development. The majority of previous studies have focused on different varieties of yak, but little is known about the epigenetic regulation mechanisms in different age groups of animals. -
Gene Expression During Normal and FSHD Myogenesis Tsumagari Et Al
Gene expression during normal and FSHD myogenesis Tsumagari et al. Tsumagari et al. BMC Medical Genomics 2011, 4:67 http://www.biomedcentral.com/1755-8794/4/67 (27 September 2011) Tsumagari et al. BMC Medical Genomics 2011, 4:67 http://www.biomedcentral.com/1755-8794/4/67 RESEARCHARTICLE Open Access Gene expression during normal and FSHD myogenesis Koji Tsumagari1, Shao-Chi Chang1, Michelle Lacey2,3, Carl Baribault2,3, Sridar V Chittur4, Janet Sowden5, Rabi Tawil5, Gregory E Crawford6 and Melanie Ehrlich1,3* Abstract Background: Facioscapulohumeral muscular dystrophy (FSHD) is a dominant disease linked to contraction of an array of tandem 3.3-kb repeats (D4Z4) at 4q35. Within each repeat unit is a gene, DUX4, that can encode a protein containing two homeodomains. A DUX4 transcript derived from the last repeat unit in a contracted array is associated with pathogenesis but it is unclear how. Methods: Using exon-based microarrays, the expression profiles of myogenic precursor cells were determined. Both undifferentiated myoblasts and myoblasts differentiated to myotubes derived from FSHD patients and controls were studied after immunocytochemical verification of the quality of the cultures. To further our understanding of FSHD and normal myogenesis, the expression profiles obtained were compared to those of 19 non-muscle cell types analyzed by identical methods. Results: Many of the ~17,000 examined genes were differentially expressed (> 2-fold, p < 0.01) in control myoblasts or myotubes vs. non-muscle cells (2185 and 3006, respectively) or in FSHD vs. control myoblasts or myotubes (295 and 797, respectively). Surprisingly, despite the morphologically normal differentiation of FSHD myoblasts to myotubes, most of the disease-related dysregulation was seen as dampening of normal myogenesis- specific expression changes, including in genes for muscle structure, mitochondrial function, stress responses, and signal transduction. -
IDENTIFICATION and CHARACTERIZATION of ACTIN-REGULATORY PROTEINS in the HAIR CELL's CUTICULAR PLATE by LANA MARY POLLOCK Subm
IDENTIFICATION AND CHARACTERIZATION OF ACTIN-REGULATORY PROTEINS IN THE HAIR CELL’S CUTICULAR PLATE by LANA MARY POLLOCK Submitted in partial fulfilment of the requirements for the degree of Doctor of Philosophy Dissertation advisor: Brian M. McDermott Jr., Ph.D. Department of Genetics and Genome Sciences CASE WESTERN RESERVE UNIVERSITY January 2016 Case Western Reserve University School of Graduate Studies We, the thesis committee, hereby approve the thesis/dissertation of Lana Pollock, candidate for the degree of Doctor of Philosophy (PhD).* (signed)_________Zhenghe Wang, Ph.D._________________ (chair of committee) ___________Brian McDermott, Ph.D._______________ ___________ Hua Lou, Ph.D._____________________ ___________Stephen Maricich, Ph.D., M.D.___________ ___________Anthony Wynshaw-Boris, Ph.D., M.D._____ Date of defense_____September 8th, 2015_______________ *we also certify that written approval has been obtained for release of any proprietary material contained therein 2 This thesis is dedicated to Daniel Margevicius. Thank you for your unwavering love and support. Ačiū!! 3 Table of contents List of Tables ........................................................................................................ 7 List of Figures ....................................................................................................... 8 List of abbreviations ............................................................................................ 13 Abstract ............................................................................................................. -
Identification of Biomarkers in Colon Cancer Based on Bioinformatic Analysis
4895 Original Article Identification of biomarkers in colon cancer based on bioinformatic analysis Ying Zhu1#^, Leitao Sun2#^, Jieru Yu3, Yuying Xiang1^, Minhe Shen2^, Harpreet S. Wasan4^, Shanming Ruan2^, Shengliang Qiu2^ 1The First Clinical Medical College of Zhejiang Chinese Medical University, Hangzhou, China; 2Department of Medical Oncology, The First Affiliated Hospital of Zhejiang Chinese Medical University, Hangzhou, China; 3College of Basic Medical Science, Zhejiang Chinese Medical University, Hangzhou, China; 4Department of Cancer Medicine, Hammersmith Hospital, Imperial College Healthcare NHS Trust, London, UK Contributions: (I) Conception and design: Y Zhu, L Sun; (II) Administrative support: M Shen, S Ruan, S Qiu; (III) Provision of study materials or patients: Z Ying, L Sun; (IV) Collection and assembly of data: J Yu, Y Xiang; (V) Data analysis and interpretation: Ying Zhu, Leitao Sun, Harpreet S. Wasan, S Qiu, S Ruan; (VI) Manuscript writing: All authors; (VII) Final approval of manuscript: All authors. #These authors contributed equally to this work. Correspondence to: Shengliang Qiu. Department of Medical Oncology, The First Affiliated Hospital of Zhejiang Chinese Medical University, 54 Youdian Road, Shangcheng, Hangzhou 310006, China. Email: [email protected]; Shanming Ruan. Department of Medical Oncology, The First Affiliated Hospital of Zhejiang Chinese Medical University, 54 Youdian Road, Shangcheng, Hangzhou 310006, China. Email: shanmingruan@ zcmu.edu.cn. Background: Colon cancer is one of the most common cancers in the world. Targeting biomarkers is helpful for the diagnosis and treatment of colon cancer. This study aimed to identify biomarkers in colon cancer, in addition to those that have already been reported, using microarray datasets and bioinformatics analysis. -
Limma: Linear Models for Microarray and RNA-Seq Data User’S Guide
limma: Linear Models for Microarray and RNA-Seq Data User's Guide Gordon K. Smyth, Matthew Ritchie, Natalie Thorne, James Wettenhall, Wei Shi and Yifang Hu Bioinformatics Division, The Walter and Eliza Hall Institute of Medical Research, Melbourne, Australia First edition 2 December 2002 Last revised 14 July 2021 This free open-source software implements academic research by the authors and co-workers. If you use it, please support the project by citing the appropriate journal articles listed in Section 2.1. Contents 1 Introduction 5 2 Preliminaries 7 2.1 Citing limma ......................................... 7 2.2 Installation . 9 2.3 How to get help . 9 3 Quick Start 11 3.1 A brief introduction to R . 11 3.2 Sample limma Session . 12 3.3 Data Objects . 13 4 Reading Microarray Data 15 4.1 Scope of this Chapter . 15 4.2 Recommended Files . 15 4.3 The Targets Frame . 15 4.4 Reading Two-Color Intensity Data . 17 4.5 Reading Single-Channel Agilent Intensity Data . 19 4.6 Reading Illumina BeadChip Data . 19 4.7 Image-derived Spot Quality Weights . 20 4.8 Reading Probe Annotation . 21 4.9 Printer Layout . 22 4.10 The Spot Types File . 22 5 Quality Assessment 24 6 Pre-Processing Two-Color Data 26 6.1 Background Correction . 26 6.2 Within-Array Normalization . 28 6.3 Between-Array Normalization . 30 6.4 Using Objects from the marray Package . 33 7 Filtering unexpressed probes 34 1 8 Linear Models Overview 36 8.1 Introduction . 36 8.2 Single-Channel Designs . 37 8.3 Common Reference Designs . -
S41419-021-03972-6.Pdf
www.nature.com/cddis ARTICLE OPEN Primed to die: an investigation of the genetic mechanisms underlying noise-induced hearing loss and cochlear damage in homozygous Foxo3-knockout mice ✉ Holly J. Beaulac1,3, Felicia Gilels1,4, Jingyuan Zhang1,5, Sarah Jeoung2 and Patricia M. White 1 © The Author(s) 2021 The prevalence of noise-induced hearing loss (NIHL) continues to increase, with limited therapies available for individuals with cochlear damage. We have previously established that the transcription factor FOXO3 is necessary to preserve outer hair cells (OHCs) and hearing thresholds up to two weeks following mild noise exposure in mice. The mechanisms by which FOXO3 preserves cochlear cells and function are unknown. In this study, we analyzed the immediate effects of mild noise exposure on wild-type, Foxo3 heterozygous (Foxo3+/−), and Foxo3 knock-out (Foxo3−/−) mice to better understand FOXO3’s role(s) in the mammalian cochlea. We used confocal and multiphoton microscopy to examine well-characterized components of noise-induced damage including calcium regulators, oxidative stress, necrosis, and caspase-dependent and caspase-independent apoptosis. Lower immunoreactivity of the calcium buffer Oncomodulin in Foxo3−/− OHCs correlated with cell loss beginning 4 h post-noise exposure. Using immunohistochemistry, we identified parthanatos as the cell death pathway for OHCs. Oxidative stress response pathways were not significantly altered in FOXO3’s absence. We used RNA sequencing to identify and RT-qPCR to confirm differentially expressed genes. We further investigated a gene downregulated in the unexposed Foxo3−/− mice that may contribute to OHC noise susceptibility. Glycerophosphodiester phosphodiesterase domain containing 3 (GDPD3), a possible endogenous source of lysophosphatidic acid (LPA), has not previously been described in the cochlea. -
The Use of Genetic Analyses and Functional Assays for the Interpretation of Rare Variants in Pediatric Heart Disease
The use of genetic analyses and functional assays for the interpretation of rare variants in pediatric heart disease A dissertation submitted to the Division of Graduate Studies and Research, University of Cincinnati in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Molecular Genetics by Jeffrey A. Schubert Bachelor of Science, Mount St. Joseph University, 2012 Committee Chair: Stephanie M. Ware, M.D., Ph.D. Edmund Choi, Ph.D. Benjamin Landis, M.D. Anil Menon, Ph.D. David Wieczorek, Ph.D. Molecular Genetics, Biochemistry, and Microbiology Graduate Program College of Medicine, University of Cincinnati Cincinnati, Ohio, USA, 2018 ABSTRACT The use of next generation technologies such as whole exome sequencing (WES) has paved the way for discovering novel causes of Mendelian diseases. This has been demonstrated in pediatric heart diseases, including cardiomyopathy (CM) and familial thoracic aortic aneurysm (TAA). Each of these conditions carries a high risk of a serious cardiac event, including sudden heart failure or aortic rupture, which are often fatal. Patients with either disease can be asymptomatic before presenting with these events, which necessitates early diagnosis. Though there are many known genetic causes of disease for both conditions, there is still room for discovery of novel pathogenic genes and variants, as many patients have an undefined genetic diagnosis. WES covers the protein-coding portion of the genome, which yields a massive amount of data, though it comprises only 1% of the genome. Sorting and filtering sequencing information to identify (sometimes) a single base pair change responsible for the patient phenotype is challenging. Further, interpreting identified candidate variants must be done according to strict standards, which makes it difficult to definitively say whether a coding change is pathogenic or benign. -
Table S3a Table
Table S3a C2 KEGG Geneset Genesets enriched and upregulated in responders (FDR <0.25) Genesets enriched and upregulated in non-responders (FDR <0.25) HSA04610_COMPLEMENT_AND_COAGULATION_CASCADES HSA00970_AMINOACYL_TRNA_BIOSYNTHESIS HSA04640_HEMATOPOIETIC_CELL_LINEAGE HSA05050_DENTATORUBROPALLIDOLUYSIAN_ATROPHY HSA04060_CYTOKINE_CYTOKINE_RECEPTOR_INTERACTION HSA04514_CELL_ADHESION_MOLECULES HSA04650_NATURAL_KILLER_CELL_MEDIATED_CYTOTOXICITY HSA04630_JAK_STAT_SIGNALING_PATHWAY HSA03320_PPAR_SIGNALING_PATHWAY HSA04080_NEUROACTIVE_LIGAND_RECEPTOR_INTERACTION HSA00980_METABOLISM_OF_XENOBIOTICS_BY_CYTOCHROME_P450 HSA00071_FATTY_ACID_METABOLISM HSA04660_T_CELL_RECEPTOR_SIGNALING_PATHWAY HSA04612_ANTIGEN_PROCESSING_AND_PRESENTATION HSA04662_B_CELL_RECEPTOR_SIGNALING_PATHWAY HSA04920_ADIPOCYTOKINE_SIGNALING_PATHWAY HSA00120_BILE_ACID_BIOSYNTHESIS HSA04670_LEUKOCYTE_TRANSENDOTHELIAL_MIGRATION HSA00641_3_CHLOROACRYLIC_ACID_DEGRADATION HSA04020_CALCIUM_SIGNALING_PATHWAY HSA04940_TYPE_I_DIABETES_MELLITUS HSA04512_ECM_RECEPTOR_INTERACTION HSA00010_GLYCOLYSIS_AND_GLUCONEOGENESIS HSA02010_ABC_TRANSPORTERS_GENERAL HSA04664_FC_EPSILON_RI_SIGNALING_PATHWAY HSA04710_CIRCADIAN_RHYTHM HSA04510_FOCAL_ADHESION HSA04810_REGULATION_OF_ACTIN_CYTOSKELETON HSA00410_BETA_ALANINE_METABOLISM HSA01040_POLYUNSATURATED_FATTY_ACID_BIOSYNTHESIS HSA00532_CHONDROITIN_SULFATE_BIOSYNTHESIS HSA04620_TOLL_LIKE_RECEPTOR_SIGNALING_PATHWAY HSA04010_MAPK_SIGNALING_PATHWAY HSA00561_GLYCEROLIPID_METABOLISM HSA00053_ASCORBATE_AND_ALDARATE_METABOLISM HSA00590_ARACHIDONIC_ACID_METABOLISM -
Structure and Function of Filamin C in the Muscle Z-Disc
International Journal of Molecular Sciences Review Structure and Function of Filamin C in the Muscle Z-Disc Zhenfeng Mao and Fumihiko Nakamura * School of Pharmaceutical Science and Technology, Tianjin University, Tianjin 300072, China; [email protected] * Correspondence: [email protected] Received: 17 March 2020; Accepted: 9 April 2020; Published: 13 April 2020 Abstract: Filamin C (FLNC) is one of three filamin proteins (Filamin A (FLNA), Filamin B (FLNB), and FLNC) that cross-link actin filaments and interact with numerous binding partners. FLNC consists of a N-terminal actin-binding domain followed by 24 immunoglobulin-like repeats with two intervening calpain-sensitive hinges separating R15 and R16 (hinge 1) and R23 and R24 (hinge-2). The FLNC subunit is dimerized through R24 and calpain cleaves off the dimerization domain to regulate mobility of the FLNC subunit. FLNC is localized in the Z-disc due to the unique insertion of 82 amino acid residues in repeat 20 and necessary for normal Z-disc formation that connect sarcomeres. Since phosphorylation of FLNC by PKC diminishes the calpain sensitivity, assembly, and disassembly of the Z-disc may be regulated by phosphorylation of FLNC. Mutations of FLNC result in cardiomyopathy and muscle weakness. Although this review will focus on the current understanding of FLNC structure and functions in muscle, we will also discuss other filamins because they share high sequence similarity and are better characterized. We will also discuss a possible role of FLNC as a mechanosensor during muscle contraction. Keywords: Filamin C; FLNC; sarcomere; Z-disc; mutation; filaminopathy; myopathy 1. Introduction Filamin C (FLNC) protein is one of three filamin isoforms (A, B, C) that cross-link actin filaments (F-actin) and interact with various binding partners [1,2]. -
Genetic and Epigenetic Studies of Atopic Dermatitis Lianghua Bin1,2,3 and Donald Y
Bin and Leung Allergy Asthma Clin Immunol (2016) 12:52 Allergy, Asthma & Clinical Immunology DOI 10.1186/s13223-016-0158-5 REVIEW Open Access Genetic and epigenetic studies of atopic dermatitis Lianghua Bin1,2,3 and Donald Y. M. Leung3,4* Abstract Background: Atopic dermatitis (AD) is a chronic inflammatory disease caused by the complex interaction of genetic, immune and environmental factors. There have many recent discoveries involving the genetic and epigenetic studies of AD. Methods: A retrospective PubMed search was carried out from June 2009 to June 2016 using the terms “atopic dermatitis”, “association”, “eczema”, “gene”, “polymorphism”, “mutation”, “variant”, “genome wide association study”, “micro- array” “gene profiling”, “RNA sequencing”, “epigenetics” and “microRNA”. A total of 132 publications in English were identified. Results: To elucidate the genetic factors for AD pathogenesis, candidate gene association studies, genome-wide association studies (GWAS) and transcriptomic profiling assays have been performed in this period. Epigenetic mecha- nisms for AD development, including genomic DNA modification and microRNA posttranscriptional regulation, have been explored. To date, candidate gene association studies indicate that filaggrin (FLG) null gene mutations are the most significant known risk factor for AD, and genes in the type 2 T helper lymphocyte (Th2) signaling pathways are the second replicated genetic risk factor for AD. GWAS studies identified 34 risk loci for AD, these loci also suggest that genes in immune responses and epidermal skin barrier functions are associated with AD. Additionally, gene profiling assays demonstrated AD is associated with decreased gene expression of epidermal differentiation complex genes and elevated Th2 and Th17 genes. Hypomethylation of TSLP and FCER1G in AD were reported; and miR-155, which target the immune suppressor CTLA-4, was found to be significantly over-expressed in infiltrating T cells in AD skin lesions. -
Network-Based Method for Drug Target Discovery at the Isoform Level
www.nature.com/scientificreports OPEN Network-based method for drug target discovery at the isoform level Received: 20 November 2018 Jun Ma1,2, Jenny Wang2, Laleh Soltan Ghoraie2, Xin Men3, Linna Liu4 & Penggao Dai 1 Accepted: 6 September 2019 Identifcation of primary targets associated with phenotypes can facilitate exploration of the underlying Published: xx xx xxxx molecular mechanisms of compounds and optimization of the structures of promising drugs. However, the literature reports limited efort to identify the target major isoform of a single known target gene. The majority of genes generate multiple transcripts that are translated into proteins that may carry out distinct and even opposing biological functions through alternative splicing. In addition, isoform expression is dynamic and varies depending on the developmental stage and cell type. To identify target major isoforms, we integrated a breast cancer type-specifc isoform coexpression network with gene perturbation signatures in the MCF7 cell line in the Connectivity Map database using the ‘shortest path’ drug target prioritization method. We used a leukemia cancer network and diferential expression data for drugs in the HL-60 cell line to test the robustness of the detection algorithm for target major isoforms. We further analyzed the properties of target major isoforms for each multi-isoform gene using pharmacogenomic datasets, proteomic data and the principal isoforms defned by the APPRIS and STRING datasets. Then, we tested our predictions for the most promising target major protein isoforms of DNMT1, MGEA5 and P4HB4 based on expression data and topological features in the coexpression network. Interestingly, these isoforms are not annotated as principal isoforms in APPRIS.