B-Catenin Is Central to DUX4-Driven Network Rewiring in Facioscapulohumeral Rsif.Royalsocietypublishing.Org Muscular Dystrophy
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Key Pathways Involved in Prostate Cancer Based on Gene Set Enrichment Analysis and Meta Analysis
Key pathways involved in prostate cancer based on gene set enrichment analysis and meta analysis Q.Y. Ning1, J.Z. Wu1, N. Zang2, J. Liang3, Y.L. Hu2 and Z.N. Mo4 1Department of Infection, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China 2The Medical Scientific Research Centre, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China 3Department of Biology Technology, Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China 4Department of Urology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China Corresponding authors: Y.L. Hu / Z.N. Mo E-mail: [email protected] / [email protected] Genet. Mol. Res. 10 (4): 3856-3887 (2011) Received June 7, 2011 Accepted October 14, 2011 Published December 14, 2011 DOI http://dx.doi.org/10.4238/2011.December.14.10 ABSTRACT. Prostate cancer is one of the most common male malignant neoplasms; however, its causes are not completely understood. A few recent studies have used gene expression profiling of prostate cancer to identify differentially expressed genes and possible relevant pathways. However, few studies have examined the genetic mechanics of prostate cancer at the pathway level to search for such pathways. We used gene set enrichment analysis and a meta-analysis of six independent studies after standardized microarray preprocessing, which increased concordance between these gene datasets. Based on gene set enrichment analysis, there were 12 down- and 25 up-regulated mixing pathways in more than two tissue datasets, while there were two down- and two up-regulated mixing pathways in three cell datasets. -
Protein Identities in Evs Isolated from U87-MG GBM Cells As Determined by NG LC-MS/MS
Protein identities in EVs isolated from U87-MG GBM cells as determined by NG LC-MS/MS. No. Accession Description Σ Coverage Σ# Proteins Σ# Unique Peptides Σ# Peptides Σ# PSMs # AAs MW [kDa] calc. pI 1 A8MS94 Putative golgin subfamily A member 2-like protein 5 OS=Homo sapiens PE=5 SV=2 - [GG2L5_HUMAN] 100 1 1 7 88 110 12,03704523 5,681152344 2 P60660 Myosin light polypeptide 6 OS=Homo sapiens GN=MYL6 PE=1 SV=2 - [MYL6_HUMAN] 100 3 5 17 173 151 16,91913397 4,652832031 3 Q6ZYL4 General transcription factor IIH subunit 5 OS=Homo sapiens GN=GTF2H5 PE=1 SV=1 - [TF2H5_HUMAN] 98,59 1 1 4 13 71 8,048185945 4,652832031 4 P60709 Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 - [ACTB_HUMAN] 97,6 5 5 35 917 375 41,70973209 5,478027344 5 P13489 Ribonuclease inhibitor OS=Homo sapiens GN=RNH1 PE=1 SV=2 - [RINI_HUMAN] 96,75 1 12 37 173 461 49,94108966 4,817871094 6 P09382 Galectin-1 OS=Homo sapiens GN=LGALS1 PE=1 SV=2 - [LEG1_HUMAN] 96,3 1 7 14 283 135 14,70620005 5,503417969 7 P60174 Triosephosphate isomerase OS=Homo sapiens GN=TPI1 PE=1 SV=3 - [TPIS_HUMAN] 95,1 3 16 25 375 286 30,77169764 5,922363281 8 P04406 Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 - [G3P_HUMAN] 94,63 2 13 31 509 335 36,03039959 8,455566406 9 Q15185 Prostaglandin E synthase 3 OS=Homo sapiens GN=PTGES3 PE=1 SV=1 - [TEBP_HUMAN] 93,13 1 5 12 74 160 18,68541938 4,538574219 10 P09417 Dihydropteridine reductase OS=Homo sapiens GN=QDPR PE=1 SV=2 - [DHPR_HUMAN] 93,03 1 1 17 69 244 25,77302971 7,371582031 11 P01911 HLA class II histocompatibility antigen, -
Identification of an FHL1 Protein Complex Containing Gamma-Actin and Non-Muscle Myosin IIB by Analysis of Protein-Protein Interactions
Identification of an FHL1 Protein Complex Containing Gamma-Actin and Non-Muscle Myosin IIB by Analysis of Protein-Protein Interactions Lili Wang1*, Jianing Miao1, Lianyong Li2,DiWu1, Yi Zhang1, Zhaohong Peng1, Lijun Zhang2, Zhengwei Yuan1, Kailai Sun3 1 Key Laboratory of Health ~Ministry for Congenital Malformation, Shengjing Hospital, China Medical University, Shenyang, China, 2 Department of Pediatric Surgery, Shengjing Hospital, China Medical University, Shenyang, China, 3 Department of Medical Genetics, China Medical University, Shenyang, China Abstract FHL1 is multifunctional and serves as a modular protein binding interface to mediate protein-protein interactions. In skeletal muscle, FHL1 is involved in sarcomere assembly, differentiation, growth, and biomechanical stress. Muscle abnormalities may play a major role in congenital clubfoot (CCF) deformity during fetal development. Thus, identifying the interactions of FHL1 could provide important new insights into its functional role in both skeletal muscle development and CCF pathogenesis. Using proteins derived from rat L6GNR4 myoblastocytes, we detected FHL1 interacting proteins by immunoprecipitation. Samples were analyzed by liquid chromatography mass spectrometry (LC-MS). Dynamic gene expression of FHL1 was studied. Additionally, the expression of the possible interacting proteins gamma-actin and non- muscle myosin IIB, which were isolated from the lower limbs of E14, E15, E17, E18, E20 rat embryos or from adult skeletal muscle was analyzed. Potential interacting proteins isolated from E17 lower limbs were verified by immunoprecipitation, and co-localization in adult gastrocnemius muscle was visualized by fluorescence microscopy. FHL1 expression was associated with skeletal muscle differentiation. E17 was found to be the critical time-point for skeletal muscle differentiation in the lower limbs of rat embryos. -
The Function of NM23-H1/NME1 and Its Homologs in Major Processes Linked to Metastasis
University of Dundee The Function of NM23-H1/NME1 and Its Homologs in Major Processes Linked to Metastasis Mátyási, Barbara; Farkas, Zsolt; Kopper, László; Sebestyén, Anna; Boissan, Mathieu; Mehta, Anil Published in: Pathology and Oncology Research DOI: 10.1007/s12253-020-00797-0 Publication date: 2020 Licence: CC BY Document Version Publisher's PDF, also known as Version of record Link to publication in Discovery Research Portal Citation for published version (APA): Mátyási, B., Farkas, Z., Kopper, L., Sebestyén, A., Boissan, M., Mehta, A., & Takács-Vellai, K. (2020). The Function of NM23-H1/NME1 and Its Homologs in Major Processes Linked to Metastasis. Pathology and Oncology Research, 26(1), 49-61. https://doi.org/10.1007/s12253-020-00797-0 General rights Copyright and moral rights for the publications made accessible in Discovery Research Portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from Discovery Research Portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain. • You may freely distribute the URL identifying the publication in the public portal. Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your -
Development and Validation of a Protein-Based Risk Score for Cardiovascular Outcomes Among Patients with Stable Coronary Heart Disease
Supplementary Online Content Ganz P, Heidecker B, Hveem K, et al. Development and validation of a protein-based risk score for cardiovascular outcomes among patients with stable coronary heart disease. JAMA. doi: 10.1001/jama.2016.5951 eTable 1. List of 1130 Proteins Measured by Somalogic’s Modified Aptamer-Based Proteomic Assay eTable 2. Coefficients for Weibull Recalibration Model Applied to 9-Protein Model eFigure 1. Median Protein Levels in Derivation and Validation Cohort eTable 3. Coefficients for the Recalibration Model Applied to Refit Framingham eFigure 2. Calibration Plots for the Refit Framingham Model eTable 4. List of 200 Proteins Associated With the Risk of MI, Stroke, Heart Failure, and Death eFigure 3. Hazard Ratios of Lasso Selected Proteins for Primary End Point of MI, Stroke, Heart Failure, and Death eFigure 4. 9-Protein Prognostic Model Hazard Ratios Adjusted for Framingham Variables eFigure 5. 9-Protein Risk Scores by Event Type This supplementary material has been provided by the authors to give readers additional information about their work. Downloaded From: https://jamanetwork.com/ on 10/02/2021 Supplemental Material Table of Contents 1 Study Design and Data Processing ......................................................................................................... 3 2 Table of 1130 Proteins Measured .......................................................................................................... 4 3 Variable Selection and Statistical Modeling ........................................................................................ -
Assessing the Human Canonical Protein Count[Version 1; Peer Review
F1000Research 2017, 6:448 Last updated: 15 JUL 2020 REVIEW Last rolls of the yoyo: Assessing the human canonical protein count [version 1; peer review: 1 approved, 2 approved with reservations] Christopher Southan IUPHAR/BPS Guide to Pharmacology, Centre for Integrative Physiology, University of Edinburgh, Edinburgh, EH8 9XD, UK First published: 07 Apr 2017, 6:448 Open Peer Review v1 https://doi.org/10.12688/f1000research.11119.1 Latest published: 07 Apr 2017, 6:448 https://doi.org/10.12688/f1000research.11119.1 Reviewer Status Abstract Invited Reviewers In 2004, when the protein estimate from the finished human genome was 1 2 3 only 24,000, the surprise was compounded as reviewed estimates fell to 19,000 by 2014. However, variability in the total canonical protein counts version 1 (i.e. excluding alternative splice forms) of open reading frames (ORFs) in 07 Apr 2017 report report report different annotation portals persists. This work assesses these differences and possible causes. A 16-year analysis of Ensembl and UniProtKB/Swiss-Prot shows convergence to a protein number of ~20,000. The former had shown some yo-yoing, but both have now plateaued. Nine 1 Michael Tress, Spanish National Cancer major annotation portals, reviewed at the beginning of 2017, gave a spread Research Centre (CNIO), Madrid, Spain of counts from 21,819 down to 18,891. The 4-way cross-reference concordance (within UniProt) between Ensembl, Swiss-Prot, Entrez Gene 2 Elspeth A. Bruford , European Molecular and the Human Gene Nomenclature Committee (HGNC) drops to 18,690, Biology Laboratory, Hinxton, UK indicating methodological differences in protein definitions and experimental existence support between sources. -
Transcriptional Adaptation in Caenorhabditis Elegans
RESEARCH ARTICLE Transcriptional adaptation in Caenorhabditis elegans Vahan Serobyan1*, Zacharias Kontarakis1†, Mohamed A El-Brolosy1, Jordan M Welker1, Oleg Tolstenkov2,3‡, Amr M Saadeldein1, Nicholas Retzer1, Alexander Gottschalk2,3,4, Ann M Wehman5, Didier YR Stainier1* 1Department of Developmental Genetics, Max Planck Institute for Heart and Lung Research, Bad Nauheim, Germany; 2Institute for Biophysical Chemistry, Goethe University, Frankfurt Am Main, Germany; 3Cluster of Excellence Frankfurt - Macromolecular Complexes (CEF-MC), Goethe University, Frankfurt Am Main, Germany; 4Buchmann Institute for Molecular Life Sciences (BMLS), Goethe University, Frankfurt Am Main, Germany; 5Rudolf Virchow Center, University of Wu¨ rzburg, Wu¨ rzburg, Germany Abstract Transcriptional adaptation is a recently described phenomenon by which a mutation in *For correspondence: one gene leads to the transcriptional modulation of related genes, termed adapting genes. At the [email protected] molecular level, it has been proposed that the mutant mRNA, rather than the loss of protein (VS); function, activates this response. While several examples of transcriptional adaptation have been [email protected] (DYRS) reported in zebrafish embryos and in mouse cell lines, it is not known whether this phenomenon is observed across metazoans. Here we report transcriptional adaptation in C. elegans, and find that † Present address: Genome this process requires factors involved in mutant mRNA decay, as in zebrafish and mouse. We Engineering and Measurement further uncover a requirement for Argonaute proteins and Dicer, factors involved in small RNA Lab, ETH Zurich, Functional maturation and transport into the nucleus. Altogether, these results provide evidence for Genomics Center Zurich of ETH transcriptional adaptation in C. -
Inhibition of a New Differentiation Pathway in Neuroblastoma by Copy Number Defects of N-Myc, Cdc42, and Nm23 Genes
Research Article Inhibition of a New Differentiation Pathway in Neuroblastoma by Copy Number Defects of N-myc, Cdc42, and nm23 Genes Linda J. Valentijn, Arjen Koppen, Ronald van Asperen, Heather A. Root, Franciska Haneveld, and Rogier Versteeg Department of Human Genetics, Academic Medical Center, University of Amsterdam, Amsterdam, The Netherlands Abstract are of variable length as well, but can be smaller with a more The best studied oncogenic mechanisms are inactivating telomeric SRO (3, 4). The different SROs in N-myc-amplified defects in both alleles of tumor suppressor genes and neuroblastomas have raised the idea that more than one tumor suppressor gene maps on distal chromosome 1p (5). activating mutations in oncogenes. Chromosomal gains and losses are frequent in human tumors, but for many regions, N-myc-amplified neuroblastomas follow a very aggressive course like 1p36 and 17q in neuroblastoma, no mutated tumor (6). Overexpression of transfected N-myc genes in neuroblastoma suppressor genes or oncogenes were identified. Amplification cell lines strongly increased proliferation rates (7, 8). Recent mRNA of N-myc in neuroblastoma is strongly correlated with loss of expression profiling experiments, serial analysis of gene expression 1p36 and gain of 17q. Here we report that N-myc down- (SAGE) and microarray analysis, identified many myc-regulated regulates the mRNA expression of many genes with a role in genes (9–13). We used SAGE to identify genes regulated by N-myc cell architecture. One of them is the 1p36 gene Cdc42. in neuroblastoma. Genes up-regulated by N-myc were involved in Restoring the Cdc42 expression in neuroblastoma cells rRNA processing and protein synthesis (9). -
Supplementary Table 1. the List of Proteins with at Least 2 Unique
Supplementary table 1. The list of proteins with at least 2 unique peptides identified in 3D cultured keratinocytes exposed to UVA (30 J/cm2) or UVB irradiation (60 mJ/cm2) and treated with treated with rutin [25 µM] or/and ascorbic acid [100 µM]. Nr Accession Description 1 A0A024QZN4 Vinculin 2 A0A024QZN9 Voltage-dependent anion channel 2 3 A0A024QZV0 HCG1811539 4 A0A024QZX3 Serpin peptidase inhibitor 5 A0A024QZZ7 Histone H2B 6 A0A024R1A3 Ubiquitin-activating enzyme E1 7 A0A024R1K7 Tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein 8 A0A024R280 Phosphoserine aminotransferase 1 9 A0A024R2Q4 Ribosomal protein L15 10 A0A024R321 Filamin B 11 A0A024R382 CNDP dipeptidase 2 12 A0A024R3V9 HCG37498 13 A0A024R3X7 Heat shock 10kDa protein 1 (Chaperonin 10) 14 A0A024R408 Actin related protein 2/3 complex, subunit 2, 15 A0A024R4U3 Tubulin tyrosine ligase-like family 16 A0A024R592 Glucosidase 17 A0A024R5Z8 RAB11A, member RAS oncogene family 18 A0A024R652 Methylenetetrahydrofolate dehydrogenase 19 A0A024R6C9 Dihydrolipoamide S-succinyltransferase 20 A0A024R6D4 Enhancer of rudimentary homolog 21 A0A024R7F7 Transportin 2 22 A0A024R7T3 Heterogeneous nuclear ribonucleoprotein F 23 A0A024R814 Ribosomal protein L7 24 A0A024R872 Chromosome 9 open reading frame 88 25 A0A024R895 SET translocation 26 A0A024R8W0 DEAD (Asp-Glu-Ala-Asp) box polypeptide 48 27 A0A024R9E2 Poly(A) binding protein, cytoplasmic 1 28 A0A024RA28 Heterogeneous nuclear ribonucleoprotein A2/B1 29 A0A024RA52 Proteasome subunit alpha 30 A0A024RAE4 Cell division cycle 42 31 -
Adenovirus Strategies for Altering the Cellular Environment in Favor of Infection
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2019 Adenovirus Strategies For Altering The Cellular Environment In Favor Of Infection Christin Herrmann University of Pennsylvania Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Allergy and Immunology Commons, Immunology and Infectious Disease Commons, Medical Immunology Commons, and the Virology Commons Recommended Citation Herrmann, Christin, "Adenovirus Strategies For Altering The Cellular Environment In Favor Of Infection" (2019). Publicly Accessible Penn Dissertations. 3568. https://repository.upenn.edu/edissertations/3568 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/3568 For more information, please contact [email protected]. Adenovirus Strategies For Altering The Cellular Environment In Favor Of Infection Abstract Viruses, as obligate intracellular pathogens, rely on their host cell for successful replication. Viruses have evolved different strategies to hijack and redirect cellular processes to benefit infection and overcome host immune responses. Understanding the mechanisms by which viruses exploit their host cells will reveal new targets for antiviral therapies. In addition, these studies can provide insights into the regulation of fundamental cellular processes. While much progress has been made in this area, many unexpected nuances of virus-host interaction are still being discovered. Here, we employed several strategies to uncover new aspects of viral manipulation of the host environment by adenovirus, a nuclear-replicating DNA virus that commonly infects humans. The first project focused on how viral histone-like proteins impact cellular chromatin. Adenovirus encodes the small, basic protein VII that coats and condenses viral genomes. The effect of this viral DNA-binding protein on host chromatin structure and function had remained unexplored. -
S41467-020-17157-W.Pdf
ARTICLE https://doi.org/10.1038/s41467-020-17157-w OPEN Transcriptional activity and strain-specific history of mouse pseudogenes Cristina Sisu 1,2,3,15, Paul Muir4,5,15, Adam Frankish6, Ian Fiddes7, Mark Diekhans 7, David Thybert6,8, Duncan T. Odom 9,10, Paul Flicek 6,10, Thomas M. Keane 6, Tim Hubbard 11, Jennifer Harrow12 & ✉ Mark Gerstein 1,2,5,13,14 Pseudogenes are ideal markers of genome remodelling. In turn, the mouse is an ideal plat- 1234567890():,; form for studying them, particularly with the recent availability of strain-sequencing and transcriptional data. Here, combining both manual curation and automatic pipelines, we present a genome-wide annotation of the pseudogenes in the mouse reference genome and 18 inbred mouse strains (available via the mouse.pseudogene.org resource). We also annotate 165 unitary pseudogenes in mouse, and 303, in human. The overall pseudogene repertoire in mouse is similar to that in human in terms of size, biotype distribution, and family composition (e.g. with GAPDH and ribosomal proteins being the largest families). Notable differences arise in the pseudogene age distribution, with multiple retro- transpositional bursts in mouse evolutionary history and only one in human. Furthermore, in each strain about a fifth of all pseudogenes are unique, reflecting strain-specific evolution. Finally, we find that ~15% of the mouse pseudogenes are transcribed, and that highly tran- scribed parent genes tend to give rise to many processed pseudogenes. 1 Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06520, USA. 2 Department of Molecular Biophysics and Biochemistry, Yale University, New Haven, CT 06520, USA. -
Transgenic Overexpression of G-Cytoplasmic Actin Protects Against
Baltgalvis et al. Skeletal Muscle 2011, 1:32 http://www.skeletalmusclejournal.com/content/1/1/32 Skeletal Muscle RESEARCH Open Access Transgenic overexpression of g-cytoplasmic actin protects against eccentric contraction-induced force loss in mdx mice Kristen A Baltgalvis1, Michele A Jaeger1, Daniel P Fitzsimons2, Stanley A Thayer3, Dawn A Lowe4 and James M Ervasti1* Abstract Background: g-cytoplasmic (g-cyto) actin levels are elevated in dystrophin-deficient mdx mouse skeletal muscle. The purpose of this study was to determine whether further elevation of g-cyto actin levels improve or exacerbate the dystrophic phenotype of mdx mice. Methods: We transgenically overexpressed g-cyto actin, specifically in skeletal muscle of mdx mice (mdx-TG), and compared skeletal muscle pathology and force-generating capacity between mdx and mdx-TG mice at different ages. We investigated the mechanism by which g-cyto actin provides protection from force loss by studying the role of calcium channels and stretch-activated channels in isolated skeletal muscles and muscle fibers. Analysis of variance or independent t-tests were used to detect statistical differences between groups. Results: Levels of g-cyto actin in mdx-TG skeletal muscle were elevated 200-fold compared to mdx skeletal muscle and incorporated into thin filaments. Overexpression of g-cyto actin had little effect on most parameters of mdx muscle pathology. However, g-cyto actin provided statistically significant protection against force loss during eccentric contractions. Store-operated calcium entry across the sarcolemma did not differ between mdx fibers compared to wild-type fibers. Additionally, the omission of extracellular calcium or the addition of streptomycin to block stretch-activated channels did not improve the force-generating capacity of isolated extensor digitorum longus muscles from mdx mice during eccentric contractions.