Bioinformatics Analysis of the Proteins Interacting with LASP-1 and Their Association with HBV-Related Hepatocellular Carcinoma
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Clinical Utility Gene Card For: 3-M Syndrome – Update 2013
European Journal of Human Genetics (2014) 22, doi:10.1038/ejhg.2013.156 & 2014 Macmillan Publishers Limited All rights reserved 1018-4813/14 www.nature.com/ejhg CLINICAL UTILITY GENE CARD UPDATE Clinical utility gene card for: 3-M syndrome – Update 2013 Muriel Holder-Espinasse*,1, Melita Irving1 and Vale´rie Cormier-Daire2 European Journal of Human Genetics (2014) 22, doi:10.1038/ejhg.2013.156; published online 31 July 2013 Update to: European Journal of Human Genetics (2011) 19, doi:10.1038/ejhg.2011.32; published online 2 March 2011 1. DISEASE CHARACTERISTICS nonsense and missense mutations c.4333C4T (p.Arg1445*) and 1.1 Name of the disease (synonyms) c.4391A4C (p.His1464Pro), respectively, render CUL7 deficient 3-M syndrome (gloomy face syndrome, dolichospondylic dysplasia). in recruiting ROC1, leading to impaired ubiquitination. OBSL1: microsatellites analysis of the locus (2q35-36.1) in con- 1.2 OMIM# of the disease sanguineous families. OBSL1: microsatellites analysis of the locus 273750. (2q35-36.1) in consanguineous families. Mutations induce non- sense mediated decay. Knockdown of OBSL1 in HEK293 cells 1.3 Name of the analysed genes or DNA/chromosome segments shows the role of this gene in the maintenance of normal levels of CUL7, OBSL1 and CCDC8.1–5 CUL7. Abnormal IGFBP2 andIGFBP5 mRNA levels in two patients with OBSL1 mutations, suggesting that OBSL1 modulates the 1.4 OMIM# of the gene(s) expression of IGFBP proteins. CCDC8: microsatellites analysis 609577 (CUL7), 610991 (OBSL1) and 614145 (CCDC8). at the locus (19q13.2-q13.32). CCDC8, 1-BP DUP, 612G and CCDC8, 1-BP. -
Identification of the Binding Partners for Hspb2 and Cryab Reveals
Brigham Young University BYU ScholarsArchive Theses and Dissertations 2013-12-12 Identification of the Binding arP tners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non- Redundant Roles for Small Heat Shock Proteins Kelsey Murphey Langston Brigham Young University - Provo Follow this and additional works at: https://scholarsarchive.byu.edu/etd Part of the Microbiology Commons BYU ScholarsArchive Citation Langston, Kelsey Murphey, "Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non-Redundant Roles for Small Heat Shock Proteins" (2013). Theses and Dissertations. 3822. https://scholarsarchive.byu.edu/etd/3822 This Thesis is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactions and Non-Redundant Roles for Small Heat Shock Proteins Kelsey Langston A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Science Julianne H. Grose, Chair William R. McCleary Brian Poole Department of Microbiology and Molecular Biology Brigham Young University December 2013 Copyright © 2013 Kelsey Langston All Rights Reserved ABSTRACT Identification of the Binding Partners for HspB2 and CryAB Reveals Myofibril and Mitochondrial Protein Interactors and Non-Redundant Roles for Small Heat Shock Proteins Kelsey Langston Department of Microbiology and Molecular Biology, BYU Master of Science Small Heat Shock Proteins (sHSP) are molecular chaperones that play protective roles in cell survival and have been shown to possess chaperone activity. -
Transcriptional Regulation of RKIP in Prostate Cancer Progression
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Sciences Transcriptional Regulation of RKIP in Prostate Cancer Progression Submitted by: Sandra Marie Beach In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Sciences Examination Committee Major Advisor: Kam Yeung, Ph.D. Academic William Maltese, Ph.D. Advisory Committee: Sonia Najjar, Ph.D. Han-Fei Ding, M.D., Ph.D. Manohar Ratnam, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: May 16, 2007 Transcriptional Regulation of RKIP in Prostate Cancer Progression Sandra Beach University of Toledo ACKNOWLDEGMENTS I thank my major advisor, Dr. Kam Yeung, for the opportunity to pursue my degree in his laboratory. I am also indebted to my advisory committee members past and present, Drs. Sonia Najjar, Han-Fei Ding, Manohar Ratnam, James Trempe, and Douglas Pittman for generously and judiciously guiding my studies and sharing reagents and equipment. I owe extended thanks to Dr. William Maltese as a committee member and chairman of my department for supporting my degree progress. The entire Department of Biochemistry and Cancer Biology has been most kind and helpful to me. Drs. Roy Collaco and Hong-Juan Cui have shared their excellent technical and practical advice with me throughout my studies. I thank members of the Yeung laboratory, Dr. Sungdae Park, Hui Hui Tang, Miranda Yeung for their support and collegiality. The data mining studies herein would not have been possible without the helpful advice of Dr. Robert Trumbly. I am also grateful for the exceptional assistance and shared microarray data of Dr. -
Protein Interaction Network of Alternatively Spliced Isoforms from Brain Links Genetic Risk Factors for Autism
ARTICLE Received 24 Aug 2013 | Accepted 14 Mar 2014 | Published 11 Apr 2014 DOI: 10.1038/ncomms4650 OPEN Protein interaction network of alternatively spliced isoforms from brain links genetic risk factors for autism Roser Corominas1,*, Xinping Yang2,3,*, Guan Ning Lin1,*, Shuli Kang1,*, Yun Shen2,3, Lila Ghamsari2,3,w, Martin Broly2,3, Maria Rodriguez2,3, Stanley Tam2,3, Shelly A. Trigg2,3,w, Changyu Fan2,3, Song Yi2,3, Murat Tasan4, Irma Lemmens5, Xingyan Kuang6, Nan Zhao6, Dheeraj Malhotra7, Jacob J. Michaelson7,w, Vladimir Vacic8, Michael A. Calderwood2,3, Frederick P. Roth2,3,4, Jan Tavernier5, Steve Horvath9, Kourosh Salehi-Ashtiani2,3,w, Dmitry Korkin6, Jonathan Sebat7, David E. Hill2,3, Tong Hao2,3, Marc Vidal2,3 & Lilia M. Iakoucheva1 Increased risk for autism spectrum disorders (ASD) is attributed to hundreds of genetic loci. The convergence of ASD variants have been investigated using various approaches, including protein interactions extracted from the published literature. However, these datasets are frequently incomplete, carry biases and are limited to interactions of a single splicing isoform, which may not be expressed in the disease-relevant tissue. Here we introduce a new interactome mapping approach by experimentally identifying interactions between brain-expressed alternatively spliced variants of ASD risk factors. The Autism Spliceform Interaction Network reveals that almost half of the detected interactions and about 30% of the newly identified interacting partners represent contribution from splicing variants, emphasizing the importance of isoform networks. Isoform interactions greatly contribute to establishing direct physical connections between proteins from the de novo autism CNVs. Our findings demonstrate the critical role of spliceform networks for translating genetic knowledge into a better understanding of human diseases. -
Identification and Validation of Methylation-Driven Genes Prognostic Signature for Recurrence of Laryngeal Squamous Cell Carcino
Cui et al. Cancer Cell Int (2020) 20:472 https://doi.org/10.1186/s12935-020-01567-3 Cancer Cell International PRIMARY RESEARCH Open Access Identifcation and validation of methylation-driven genes prognostic signature for recurrence of laryngeal squamous cell carcinoma by integrated bioinformatics analysis Jie Cui3†, Liping Wang2†, Waisheng Zhong4†, Zhen Chen5, Jie Chen4*, Hong Yang3* and Genglong Liu1* Abstract Background: Recurrence remains a major obstacle to long-term survival of laryngeal squamous cell carcinoma (LSCC). We conducted a genome-wide integrated analysis of methylation and the transcriptome to establish methyla- tion-driven genes prognostic signature (MDGPS) to precisely predict recurrence probability and optimize therapeutic strategies for LSCC. Methods: LSCC DNA methylation datasets and RNA sequencing (RNA-seq) dataset were acquired from the Cancer Genome Atlas (TCGA). MethylMix was applied to detect DNA methylation-driven genes (MDGs). By univariate and multivariate Cox regression analyses, fve genes of DNA MDGs was developed a recurrence-free survival (RFS)-related MDGPS. The predictive accuracy and clinical value of the MDGPS were evaluated by receiver operating characteristic (ROC) and decision curve analysis (DCA), and compared with TNM stage system. Additionally, prognostic value of MDGPS was validated by external Gene Expression Omnibus (GEO) database. According to 5 MDGs, the candidate small molecules for LSCC were screen out by the CMap database. To strengthen the bioinformatics analysis results, 30 pairs of clinical samples were evaluated by digoxigenin-labeled chromogenic in situ hybridization (CISH). Results: A total of 88 DNA MDGs were identifed, and fve RFS-related MDGs (LINC01354, CCDC8, PHYHD1, MAGEB2 and ZNF732) were chosen to construct a MDGPS. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Aneuploidy: Using Genetic Instability to Preserve a Haploid Genome?
Health Science Campus FINAL APPROVAL OF DISSERTATION Doctor of Philosophy in Biomedical Science (Cancer Biology) Aneuploidy: Using genetic instability to preserve a haploid genome? Submitted by: Ramona Ramdath In partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biomedical Science Examination Committee Signature/Date Major Advisor: David Allison, M.D., Ph.D. Academic James Trempe, Ph.D. Advisory Committee: David Giovanucci, Ph.D. Randall Ruch, Ph.D. Ronald Mellgren, Ph.D. Senior Associate Dean College of Graduate Studies Michael S. Bisesi, Ph.D. Date of Defense: April 10, 2009 Aneuploidy: Using genetic instability to preserve a haploid genome? Ramona Ramdath University of Toledo, Health Science Campus 2009 Dedication I dedicate this dissertation to my grandfather who died of lung cancer two years ago, but who always instilled in us the value and importance of education. And to my mom and sister, both of whom have been pillars of support and stimulating conversations. To my sister, Rehanna, especially- I hope this inspires you to achieve all that you want to in life, academically and otherwise. ii Acknowledgements As we go through these academic journeys, there are so many along the way that make an impact not only on our work, but on our lives as well, and I would like to say a heartfelt thank you to all of those people: My Committee members- Dr. James Trempe, Dr. David Giovanucchi, Dr. Ronald Mellgren and Dr. Randall Ruch for their guidance, suggestions, support and confidence in me. My major advisor- Dr. David Allison, for his constructive criticism and positive reinforcement. -
ATAC-Seq Footprinting Unravels Kinetics of Transcription
bioRxiv preprint doi: https://doi.org/10.1101/869560; this version posted February 27, 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. 1 Beyond accessibility: ATAC-seq footprinting unravels kinetics 2 of transcription factor binding during zygotic genome 3 activation 4 Authors 5 Mette Bentsen1, Philipp Goymann1, Hendrik Schultheis1, Kathrin Klee1, Anastasiia Petrova1, 6 René Wiegandt1, Annika Fust1, Jens Preussner1,3, Carsten Kuenne1, Thomas Braun2,3, 7 Johnny Kim2,3, Mario Looso1,3 8 Affiliation 9 1 Bioinformatics Core Unit (BCU), Max Planck Institute for Heart and Lung Research, Bad 10 Nauheim, Germany 11 2 Department of Cardiac Development and Remodeling, Max-Planck-Institute for Heart and 12 Lung Research, Bad Nauheim, Germany 13 3 German Centre for Cardiovascular Research (DZHK), Partner site Rhein-Main, Frankfurt am 14 Main, 60596 Germany 15 Corresponding author email address 16 [email protected] 1 bioRxiv preprint doi: https://doi.org/10.1101/869560; this version posted February 27, 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. 17 Abstract 18 While footprinting analysis of ATAC-seq data can theoretically enable investigation of 19 transcription factor (TF) binding, the lack of a computational tool able to conduct different 20 levels of footprinting analysis has so-far hindered the widespread application of this method. 21 Here we present TOBIAS, a comprehensive, accurate, and fast footprinting framework 22 enabling genome-wide investigation of TF binding dynamics for hundreds of TFs 23 simultaneously. -
NIH Public Access Author Manuscript Mol Cell
NIH Public Access Author Manuscript Mol Cell. Author manuscript; available in PMC 2015 June 05. NIH-PA Author ManuscriptPublished NIH-PA Author Manuscript in final edited NIH-PA Author Manuscript form as: Mol Cell. 2014 June 5; 54(5): 791–804. doi:10.1016/j.molcel.2014.03.047. The 3M complex maintains microtubule and genome integrity Jun Yan1, Feng Yan1, Zhijun Li1, Becky Sinnott4, Kathryn M. Cappell4,7, Yanbao Yu2, Jinyao Mo5, Joseph A. Duncan1,5, Xian Chen2, Valerie Cormier-Daire6, Angelique W. Whitehurst4,8, and Yue Xiong1,2,3,* 1Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7295, USA. 2Department of Biochemistry and Biophysics, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7295, USA. 3Program in Molecular Biology and Biotechnology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7295, USA. 4Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7295, USA. 5Department of Medicine, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599-7295, USA. 6University Paris Descartes, Department of Genetics and INSERM U781, Hospital Necker Enfants-Malades, Paris, France SUMMARY CUL7, OBSL1, and CCDC8 genes are mutated in a mutually exclusive manner in 3M and other growth retardation syndromes. The mechanism underlying the function of the three 3M genes in development is not known. We found that OBSL1 and CCDC8 form a complex with CUL7 and regulate the level and centrosomal localization of CUL7, respectively. CUL7 depletion results in altered microtubule dynamics, prometaphase arrest, tetraploidy and mitotic cell death. -
Why It Is Difficult to Distinguish the Silver-Russell
Why it is dicult to distinguish the Silver-Russell syndrome (SRS) and 3M syndrome in clinical practice Beibei Zhang Department of Endocrinology, Genetics, Metabolism, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing 100045, China Chunxiu Gong ( [email protected] ) Department of Endocrinology, Genetics, Metabolism, Beijing Children’s Hospital, Capital Medical University, National Center for Children’s Health, Beijing 100045, China Research Keywords: Silver-Russell syndrome, 3M syndrome, NH-CSS, Phenotype Posted Date: April 15th, 2020 DOI: https://doi.org/10.21203/rs.3.rs-22088/v1 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 1/10 Abstract Background: To analyze why 3M syndrome can be regarded as a SRS-like syndrome by examining the patients with 3M syndrome and research the connection between 3M syndrome and SRS. Methods: The term “3M syndrome” was retrieved by Web of Science and the 3M patients were screened by NH-CSS to determine whether it was consist with the diagnosis of clinical SRS, and to analyze the relationship between the two diseases by exploring literature. Results: Among patients with 3M syndrome, 60/70 (83%) were in accordance with clinical SRS, and the coincidence rates of CUL7, OBSL1, CCDC8 gene mutations were: 30 (42%), 17 (24%) and 4 (6%) respectively; The phenotypes of 3M syndrome conrmed as clinical SRS were SGA (90%), short stature (100%), forehead protruding (100%), relative macrocephaly (100%), feeding diculties/low BMI (33%), body asymmetry (0); Skeletal abnormalities and pathogenesis were previously considered as the key points of differentiation also were overlaps between two diseases; Symptomatic treatment and GH- treatment were carried out. -
Identification of DNA Methylation-Driven Genes in Esophageal Squamous Cell Carcinoma: a Study Based on the Cancer Genome Atlas
Lu et al. Cancer Cell Int (2019) 19:52 https://doi.org/10.1186/s12935-019-0770-9 Cancer Cell International PRIMARY RESEARCH Open Access Identifcation of DNA methylation-driven genes in esophageal squamous cell carcinoma: a study based on The Cancer Genome Atlas Tong Lu1, Di Chen2, Yuanyong Wang1, Xiao Sun1, Shicheng Li1, Shuncheng Miao1, Yang Wo1, Yanting Dong1, Xiaoliang Leng1, Wenxing Du1 and Wenjie Jiao1* Abstract Background: Aberrant DNA methylations are signifcantly associated with esophageal squamous cell carcinoma (ESCC). In this study, we aimed to investigate the DNA methylation-driven genes in ESCC by integrative bioinformatics analysis. Methods: Data of DNA methylation and transcriptome profling were downloaded from TCGA database. DNA methylation-driven genes were obtained by methylmix R package. David database and ConsensusPathDB were used to perform gene ontology (GO) analysis and pathway analysis, respectively. Survival R package was used to analyze overall survival analysis of methylation-driven genes. Results: Totally 26 DNA methylation-driven genes were identifed by the methylmix, which were enriched in molecu- lar function of DNA binding and transcription factor activity. Then, ABCD1, SLC5A10, SPIN3, ZNF69, and ZNF608 were recognized as signifcant independent prognostic biomarkers from 26 methylation-driven genes. Additionally, a fur- ther integrative survival analysis, which combined methylation and gene expression data, was identifed that ABCD1, CCDC8, FBXO17 were signifcantly associated with patients’ survival. Also, multiple aberrant methylation sites were found to be correlated with gene expression. Conclusion: In summary, we studied the DNA methylation-driven genes in ESCC by bioinformatics analysis, ofering better understand of molecular mechanisms of ESCC and providing potential biomarkers precision treatment and prognosis detection. -
Role and Regulation of the P53-Homolog P73 in the Transformation of Normal Human Fibroblasts
Role and regulation of the p53-homolog p73 in the transformation of normal human fibroblasts Dissertation zur Erlangung des naturwissenschaftlichen Doktorgrades der Bayerischen Julius-Maximilians-Universität Würzburg vorgelegt von Lars Hofmann aus Aschaffenburg Würzburg 2007 Eingereicht am Mitglieder der Promotionskommission: Vorsitzender: Prof. Dr. Dr. Martin J. Müller Gutachter: Prof. Dr. Michael P. Schön Gutachter : Prof. Dr. Georg Krohne Tag des Promotionskolloquiums: Doktorurkunde ausgehändigt am Erklärung Hiermit erkläre ich, dass ich die vorliegende Arbeit selbständig angefertigt und keine anderen als die angegebenen Hilfsmittel und Quellen verwendet habe. Diese Arbeit wurde weder in gleicher noch in ähnlicher Form in einem anderen Prüfungsverfahren vorgelegt. Ich habe früher, außer den mit dem Zulassungsgesuch urkundlichen Graden, keine weiteren akademischen Grade erworben und zu erwerben gesucht. Würzburg, Lars Hofmann Content SUMMARY ................................................................................................................ IV ZUSAMMENFASSUNG ............................................................................................. V 1. INTRODUCTION ................................................................................................. 1 1.1. Molecular basics of cancer .......................................................................................... 1 1.2. Early research on tumorigenesis ................................................................................. 3 1.3. Developing