S1 Table. Top 30 Degree Nodes in the HCV Network. We Report The
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Expression Gene Network Analyses Reveal Molecular Mechanisms And
www.nature.com/scientificreports OPEN Diferential expression and co- expression gene network analyses reveal molecular mechanisms and candidate biomarkers involved in breast muscle myopathies in chicken Eva Pampouille1,2, Christelle Hennequet-Antier1, Christophe Praud1, Amélie Juanchich1, Aurélien Brionne1, Estelle Godet1, Thierry Bordeau1, Fréderic Fagnoul2, Elisabeth Le Bihan-Duval1 & Cécile Berri1* The broiler industry is facing an increasing prevalence of breast myopathies, such as white striping (WS) and wooden breast (WB), and the precise aetiology of these occurrences remains poorly understood. To progress our understanding of the structural changes and molecular pathways involved in these myopathies, a transcriptomic analysis was performed using an 8 × 60 K Agilent chicken microarray and histological study. The study used pectoralis major muscles from three groups: slow-growing animals (n = 8), fast-growing animals visually free from defects (n = 8), or severely afected by both WS and WB (n = 8). In addition, a weighted correlation network analysis was performed to investigate the relationship between modules of co-expressed genes and histological traits. Functional analysis suggested that selection for fast growing and breast meat yield has progressively led to conditions favouring metabolic shifts towards alternative catabolic pathways to produce energy, leading to an adaptive response to oxidative stress and the frst signs of infammatory, regeneration and fbrosis processes. All these processes are intensifed in muscles afected by severe myopathies, in which new mechanisms related to cellular defences and remodelling seem also activated. Furthermore, our study opens new perspectives for myopathy diagnosis by highlighting fne histological phenotypes and genes whose expression was strongly correlated with defects. Te poultry industry relies on the production of fast-growing chickens, which are slaughtered at high weights and intended for cutting and processing. -
14-3-3Sigma Negatively Regulates the Stability and Subcellular Localization of Cop1
The Texas Medical Center Library DigitalCommons@TMC The University of Texas MD Anderson Cancer Center UTHealth Graduate School of The University of Texas MD Anderson Cancer Biomedical Sciences Dissertations and Theses Center UTHealth Graduate School of (Open Access) Biomedical Sciences 12-2010 14-3-3SIGMA NEGATIVELY REGULATES THE STABILITY AND SUBCELLULAR LOCALIZATION OF COP1 Chun-Hui Su Follow this and additional works at: https://digitalcommons.library.tmc.edu/utgsbs_dissertations Part of the Biology Commons Recommended Citation Su, Chun-Hui, "14-3-3SIGMA NEGATIVELY REGULATES THE STABILITY AND SUBCELLULAR LOCALIZATION OF COP1" (2010). The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access). 101. https://digitalcommons.library.tmc.edu/utgsbs_dissertations/101 This Dissertation (PhD) is brought to you for free and open access by the The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences at DigitalCommons@TMC. It has been accepted for inclusion in The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access) by an authorized administrator of DigitalCommons@TMC. For more information, please contact [email protected]. 14-3-3SIGMA NEGATIVELY REGULATES THE STABILITY AND SUBCELLULAR LOCALIZATION OF COP1 By Chun-Hui Su, M.S. APPROVED: ______________________________ Mong-Hong Lee, Supervisory Professor ______________________________ Randy -
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. -
Supplementary Table 3 Complete List of RNA-Sequencing Analysis of Gene Expression Changed by ≥ Tenfold Between Xenograft and Cells Cultured in 10%O2
Supplementary Table 3 Complete list of RNA-Sequencing analysis of gene expression changed by ≥ tenfold between xenograft and cells cultured in 10%O2 Expr Log2 Ratio Symbol Entrez Gene Name (culture/xenograft) -7.182 PGM5 phosphoglucomutase 5 -6.883 GPBAR1 G protein-coupled bile acid receptor 1 -6.683 CPVL carboxypeptidase, vitellogenic like -6.398 MTMR9LP myotubularin related protein 9-like, pseudogene -6.131 SCN7A sodium voltage-gated channel alpha subunit 7 -6.115 POPDC2 popeye domain containing 2 -6.014 LGI1 leucine rich glioma inactivated 1 -5.86 SCN1A sodium voltage-gated channel alpha subunit 1 -5.713 C6 complement C6 -5.365 ANGPTL1 angiopoietin like 1 -5.327 TNN tenascin N -5.228 DHRS2 dehydrogenase/reductase 2 leucine rich repeat and fibronectin type III domain -5.115 LRFN2 containing 2 -5.076 FOXO6 forkhead box O6 -5.035 ETNPPL ethanolamine-phosphate phospho-lyase -4.993 MYO15A myosin XVA -4.972 IGF1 insulin like growth factor 1 -4.956 DLG2 discs large MAGUK scaffold protein 2 -4.86 SCML4 sex comb on midleg like 4 (Drosophila) Src homology 2 domain containing transforming -4.816 SHD protein D -4.764 PLP1 proteolipid protein 1 -4.764 TSPAN32 tetraspanin 32 -4.713 N4BP3 NEDD4 binding protein 3 -4.705 MYOC myocilin -4.646 CLEC3B C-type lectin domain family 3 member B -4.646 C7 complement C7 -4.62 TGM2 transglutaminase 2 -4.562 COL9A1 collagen type IX alpha 1 chain -4.55 SOSTDC1 sclerostin domain containing 1 -4.55 OGN osteoglycin -4.505 DAPL1 death associated protein like 1 -4.491 C10orf105 chromosome 10 open reading frame 105 -4.491 -
ATP8B1 Gene Atpase Phospholipid Transporting 8B1
ATP8B1 gene ATPase phospholipid transporting 8B1 Normal Function The ATP8B1 gene (also known as FIC1) provides instructions for making a protein that is found throughout the body. It is thought to control the distribution of certain fat molecules known as aminophospholipids on the inner surface of liver cell membranes. Based on this role, the ATP8B1 protein is sometimes known as an aminophospholipid translocase. In particular, this protein performs its function in the membranes of liver cells that transport fat-digesting acids called bile acids into bile, and it likely plays a role in maintaining an appropriate balance of bile acids. This process, known as bile acid homeostasis, is critical for the normal secretion of bile and the proper functioning of liver cells. Health Conditions Related to Genetic Changes Benign recurrent intrahepatic cholestasis Mutations in the ATP8B1 gene can cause benign recurrent intrahepatic cholestasis type 1 (BRIC1). People with BRIC1 have occasional episodes of impaired bile secretion that lead to severe itching (pruritus), and yellowing of the skin and whites of the eyes ( jaundice). Most ATP8B1 gene mutations that cause BRIC1 change single protein building blocks (amino acids) in the ATP8B1 protein. These mutations likely alter the structure or function of the ATP8B1 protein only moderately. Through unknown mechanisms, mutations in the ATP8B1 gene result in the buildup of bile acids in liver cells, which leads to the signs and symptoms of BRIC1. It is unclear what causes the episodes to begin or end. On occasion, people with BRIC1 have been later diagnosed with a more severe condition called progressive familial intrahepatic cholestasis ( described below) when their symptoms worsened. -
Supplementary Information Method CLEAR-CLIP. Mouse Keratinocytes
Supplementary Information Method CLEAR-CLIP. Mouse keratinocytes of the designated genotype were maintained in E-low calcium medium. Inducible cells were treated with 3 ug/ml final concentration doxycycline for 24 hours before performing CLEAR-CLIP. One 15cm dish of confluent cells was used per sample. Cells were washed once with cold PBS. 10mls of cold PBS was then added and cells were irradiated with 300mJ/cm2 UVC (254nM wavelength). Cells were then scraped from the plates in cold PBS and pelleted by centrifugation at 1,000g for 2 minutes. Pellets were frozen at -80oC until needed. Cells were then lysed on ice with occasional vortexing in 1ml of lysis buffer (50mM Tris-HCl pH 7.4, 100mM NaCl, 1mM MgCl2, 0.1 mM CaCl2, 1% NP-40, 0.5% Sodium Deoxycholate, 0.1% SDS) containing 1X protease inhibitors (Roche #88665) and RNaseOUT (Invitrogen #10777019) at 4ul/ml final concentration. Next, TurboDNase (Invitrogen #AM2238, 10U), RNase A (0.13ug) and RNase T1 (0.13U) were added and samples were incubated at 37oC for 5 minutes with occasional mixing. Samples were immediately placed on ice and then centrifuged at 16,160g at 4oC for 20 minutes to clear lysate. 25ul of Protein-G Dynabeads (Invitrogen #10004D) were used per IP. Dynabeads were pre-washed with lysis buffer and pre- incubated with 3ul of Wako Anti-Mouse-Ago2 (2D4) antibody. The dynabead/antibody mixture was added to the lysate and rocked for 2 hours at 4oC. All steps after the IP were done on bead until samples were loaded into the polyacrylamide gel. -
An Extensive Program of Periodic Alternative Splicing Linked to Cell
RESEARCH ARTICLE An extensive program of periodic alternative splicing linked to cell cycle progression Daniel Dominguez1,2, Yi-Hsuan Tsai1,3, Robert Weatheritt4, Yang Wang1,2, Benjamin J Blencowe4*, Zefeng Wang1,5* 1Department of Pharmacology, University of North Carolina at Chapel Hill, Chapel Hill, United States; 2Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, United States; 3Program in Bioinformatics and Computational Biology, University of North Carolina at Chapel Hill, Chapel Hill, United States; 4Donnelly Centre and Department of Molecular Genetics, University of Toronto, Toronto, Canada; 5Key Lab of Computational Biology, CAS-MPG Partner Institute for Computational Biology, Chinese Academy of Science, Shanghai, China Abstract Progression through the mitotic cell cycle requires periodic regulation of gene function at the levels of transcription, translation, protein-protein interactions, post-translational modification and degradation. However, the role of alternative splicing (AS) in the temporal control of cell cycle is not well understood. By sequencing the human transcriptome through two continuous cell cycles, we identify ~ 1300 genes with cell cycle-dependent AS changes. These genes are significantly enriched in functions linked to cell cycle control, yet they do not significantly overlap genes subject to periodic changes in steady-state transcript levels. Many of the periodically spliced genes are controlled by the SR protein kinase CLK1, whose level undergoes cell cycle- dependent fluctuations via an auto-inhibitory circuit. Disruption of CLK1 causes pleiotropic cell cycle defects and loss of proliferation, whereas CLK1 over-expression is associated with various *For correspondence: cancers. These results thus reveal a large program of CLK1-regulated periodic AS intimately [email protected] (BJB); associated with cell cycle control. -
Under Serratia Marcescens Treatment Kai Feng1,2, Xiaoyu Lu1,2, Jian Luo1,2 & Fang Tang1,2*
www.nature.com/scientificreports OPEN SMRT sequencing of the full‑length transcriptome of Odontotermes formosanus (Shiraki) under Serratia marcescens treatment Kai Feng1,2, Xiaoyu Lu1,2, Jian Luo1,2 & Fang Tang1,2* Odontotermes formosanus (Shiraki) is an important pest in the world. Serratia marcescens have a high lethal efect on O. formosanus, but the specifc insecticidal mechanisms of S. marcescens on O. formosanus are unclear, and the immune responses of O. formosanus to S. marcescens have not been clarifed. At present, genetic database resources of O. formosanus are extremely scarce. Therefore, using O. formosanus workers infected by S. marcescens and the control as experimental materials, a full-length transcriptome was sequenced using the PacBio Sequel sequencing platform. A total of 10,364 isoforms were obtained as the fnal transcriptome. The unigenes were further annotated with the Nr, Swiss-Prot, EuKaryotic Orthologous Groups (KOG), Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) Ortholog public databases. In a comparison between the control group and a Serratia marcescens-infected group, a total of 259 diferentially expressed genes (DEGs) were identifed, including 132 upregulated and 127 downregulated genes. Pathway enrichment analysis indicated that the expression of the mitogen-activated protein kinase (MAPK) pathway, oxidative stress genes and the AMP-activated protein kinase (AMPK) pathway in O. formosanus may be associated with S. marcescens treatment. This research intensively studied O. formosanus at the high-throughput full-length transcriptome level, laying a foundation for further development of molecular markers and mining of target genes in this species and thereby promoting the biological control of O. -
At Elevated Temperatures, Heat Shock Protein Genes Show Altered Ratios Of
EXPERIMENTAL AND THERAPEUTIC MEDICINE 22: 900, 2021 At elevated temperatures, heat shock protein genes show altered ratios of different RNAs and expression of new RNAs, including several novel HSPB1 mRNAs encoding HSP27 protein isoforms XIA GAO1,2, KEYIN ZHANG1,2, HAIYAN ZHOU3, LUCAS ZELLMER4, CHENGFU YUAN5, HAI HUANG6 and DEZHONG JOSHUA LIAO2,6 1Department of Pathology, Guizhou Medical University Hospital; 2Key Lab of Endemic and Ethnic Diseases of The Ministry of Education of China in Guizhou Medical University; 3Clinical Research Center, Guizhou Medical University Hospital, Guiyang, Guizhou 550004, P.R. China; 4Masonic Cancer Center, University of Minnesota, Minneapolis, MN 55455, USA; 5Department of Biochemistry, China Three Gorges University, Yichang, Hubei 443002; 6Center for Clinical Laboratories, Guizhou Medical University Hospital, Guiyang, Guizhou 550004, P.R. China Received December 16, 2020; Accepted May 10, 2021 DOI: 10.3892/etm.2021.10332 Abstract. Heat shock proteins (HSP) serve as chaperones genes may engender multiple protein isoforms. These results to maintain the physiological conformation and function of collectively suggested that, besides increasing their expres‑ numerous cellular proteins when the ambient temperature is sion, certain HSP and associated genes also use alternative increased. To determine how accurate the general assumption transcription start sites to produce multiple RNA transcripts that HSP gene expression is increased in febrile situations is, and use alternative splicing of a transcript to produce multiple the RNA levels of the HSF1 (heat shock transcription factor 1) mature RNAs, as important mechanisms for responding to an gene and certain HSP genes were determined in three cell increased ambient temperature in vitro. lines cultured at 37˚C or 39˚C for three days. -
1 Supplemental Appendix Table of Contents Author
Supplemental Appendix Table of Contents Author Lists………………………………………………….…..2-3 Supplemental Figures …………………………………..……..4-20 Supplemental Tables …………………………………….…….21-41 Supplemental References……………………………………..42 ! 1! Brittany A. Goods, PhD1,2*, Michael H. Askenase, PhD3*, Erica Markarian4, Hannah E. Beatty3, Riley Drake1, Ira Fleming1, Jonathan H. DeLong3, Naomi H. Philip5, Charles C. Matouk, MD6, Issam A. Awad, MD7, Mario Zuccarello, MD8, Daniel F. Hanley, MD9, J. Christopher Love, PhD2,4,10,#, Alex K. Shalek, PhD1,2,4,11,12,13,14,#, and Lauren H. Sansing, MD, MS3,15,#, on behalf of the ICHseq Investigators 1Department of Chemistry and Institute for Medical Engineering & Science, Massachusetts Institute of Technology 2Broad Institute, Harvard University & Massachusetts Institute of Technology 3Department of Neurology, Yale University School of Medicine 4Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology 5Department of Immunobiology, Yale University School of Medicine 6Department of Neurosurgery, Yale University School of Medicine 7Department of Neurosurgery, University of Chicago 8Department of Neurosurgery, University of Cincinnati 9Brain Injury Outcomes Division, Johns Hopkins School of Medicine 10Department of Chemical Engineering, Massachusetts Institute of Technology 11Ragon Institute, Harvard University, Massachusetts Institute of Technology, & Massachusetts General Hospital 12Division of Health Science & Technology, Harvard Medical School 13Program in Computational & Systems Biology, Massachusetts -
Molecular Genetics of Microcephaly Primary Hereditary: an Overview
brain sciences Review Molecular Genetics of Microcephaly Primary Hereditary: An Overview Nikistratos Siskos † , Electra Stylianopoulou †, Georgios Skavdis and Maria E. Grigoriou * Department of Molecular Biology & Genetics, Democritus University of Thrace, 68100 Alexandroupolis, Greece; [email protected] (N.S.); [email protected] (E.S.); [email protected] (G.S.) * Correspondence: [email protected] † Equal contribution. Abstract: MicroCephaly Primary Hereditary (MCPH) is a rare congenital neurodevelopmental disorder characterized by a significant reduction of the occipitofrontal head circumference and mild to moderate mental disability. Patients have small brains, though with overall normal architecture; therefore, studying MCPH can reveal not only the pathological mechanisms leading to this condition, but also the mechanisms operating during normal development. MCPH is genetically heterogeneous, with 27 genes listed so far in the Online Mendelian Inheritance in Man (OMIM) database. In this review, we discuss the role of MCPH proteins and delineate the molecular mechanisms and common pathways in which they participate. Keywords: microcephaly; MCPH; MCPH1–MCPH27; molecular genetics; cell cycle 1. Introduction Citation: Siskos, N.; Stylianopoulou, Microcephaly, from the Greek word µικρoκεϕαλi´α (mikrokephalia), meaning small E.; Skavdis, G.; Grigoriou, M.E. head, is a term used to describe a cranium with reduction of the occipitofrontal head circum- Molecular Genetics of Microcephaly ference equal, or more that teo standard deviations -
Supporting Information
Supporting Information Pouryahya et al. SI Text Table S1 presents genes with the highest absolute value of Ricci curvature. We expect these genes to have significant contribution to the network’s robustness. Notably, the top two genes are TP53 (tumor protein 53) and YWHAG gene. TP53, also known as p53, it is a well known tumor suppressor gene known as the "guardian of the genome“ given the essential role it plays in genetic stability and prevention of cancer formation (1, 2). Mutations in this gene play a role in all stages of malignant transformation including tumor initiation, promotion, aggressiveness, and metastasis (3). Mutations of this gene are present in more than 50% of human cancers, making it the most common genetic event in human cancer (4, 5). Namely, p53 mutations play roles in leukemia, breast cancer, CNS cancers, and lung cancers, among many others (6–9). The YWHAG gene encodes the 14-3-3 protein gamma, a member of the 14-3-3 family proteins which are involved in many biological processes including signal transduction regulation, cell cycle pro- gression, apoptosis, cell adhesion and migration (10, 11). Notably, increased expression of 14-3-3 family proteins, including protein gamma, have been observed in a number of human cancers including lung and colorectal cancers, among others, suggesting a potential role as tumor oncogenes (12, 13). Furthermore, there is evidence that loss Fig. S1. The histogram of scalar Ricci curvature of 8240 genes. Most of the genes have negative scalar Ricci curvature (75%). TP53 and YWHAG have notably low of p53 function may result in upregulation of 14-3-3γ in lung cancer Ricci curvatures.