Insights Into the Comparative Biological Roles of S. Cerevisiae Nucleoplasmin-Like Fkbps Fpr3 and Fpr4
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Genetic Analysis of Retinopathy in Type 1 Diabetes
Genetic Analysis of Retinopathy in Type 1 Diabetes by Sayed Mohsen Hosseini A thesis submitted in conformity with the requirements for the degree of Doctor of Philosophy Institute of Medical Science University of Toronto © Copyright by S. Mohsen Hosseini 2014 Genetic Analysis of Retinopathy in Type 1 Diabetes Sayed Mohsen Hosseini Doctor of Philosophy Institute of Medical Science University of Toronto 2014 Abstract Diabetic retinopathy (DR) is a leading cause of blindness worldwide. Several lines of evidence suggest a genetic contribution to the risk of DR; however, no genetic variant has shown convincing association with DR in genome-wide association studies (GWAS). To identify common polymorphisms associated with DR, meta-GWAS were performed in three type 1 diabetes cohorts of White subjects: Diabetes Complications and Control Trial (DCCT, n=1304), Wisconsin Epidemiologic Study of Diabetic Retinopathy (WESDR, n=603) and Renin-Angiotensin System Study (RASS, n=239). Severe (SDR) and mild (MDR) retinopathy outcomes were defined based on repeated fundus photographs in each study graded for retinopathy severity on the Early Treatment Diabetic Retinopathy Study (ETDRS) scale. Multivariable models accounted for glycemia (measured by A1C), diabetes duration and other relevant covariates in the association analyses of additive genotypes with SDR and MDR. Fixed-effects meta- analysis was used to combine the results of GWAS performed separately in WESDR, ii RASS and subgroups of DCCT, defined by cohort and treatment group. Top association signals were prioritized for replication, based on previous supporting knowledge from the literature, followed by replication in three independent white T1D studies: Genesis-GeneDiab (n=502), Steno (n=936) and FinnDiane (n=2194). -
Different Genetic Mechanisms Mediate Spontaneous Versus UVR-Induced
RESEARCH ARTICLE Different genetic mechanisms mediate spontaneous versus UVR-induced malignant melanoma Blake Ferguson1, Herlina Y Handoko1, Pamela Mukhopadhyay1, Arash Chitsazan1, Lois Balmer2,3, Grant Morahan2, Graeme J Walker1†* 1Drug Discovery Group, QIMR Berghofer Medical Research Institute, Herston, Australia; 2Centre for Diabetes Research, Harry Perkins Institute of Medical Research, Perth, Australia; 3School of Medical and Health Sciences, Edith Cowan University, Joondalup, Australia Abstract Genetic variation conferring resistance and susceptibility to carcinogen-induced tumorigenesis is frequently studied in mice. We have now turned this idea to melanoma using the collaborative cross (CC), a resource of mouse strains designed to discover genes for complex diseases. We studied melanoma-prone transgenic progeny across seventy CC genetic backgrounds. We mapped a strong quantitative trait locus for rapid onset spontaneous melanoma onset to Prkdc, a gene involved in detection and repair of DNA damage. In contrast, rapid onset UVR-induced melanoma was linked to the ribosomal subunit gene Rrp15. Ribosome biogenesis was upregulated in skin shortly after UVR exposure. Mechanistically, variation in the ‘usual suspects’ by which UVR may exacerbate melanoma, defective DNA repair, melanocyte proliferation, or inflammatory cell infiltration, did not explain melanoma susceptibility or resistance across the CC. *For correspondence: [email protected] Instead, events occurring soon after exposure, such as dysregulation of ribosome function, which alters many aspects of cellular metabolism, may be important. † Present address: Experimental DOI: https://doi.org/10.7554/eLife.42424.001 Dermatology Group, The University of Queensland Diamantina Institute, Woolloongabba, Australia Introduction Competing interests: The Cutaneous malignant melanoma (MM) is well known to be associated with high levels of sun expo- authors declare that no sure. -
Analysis of Gene Expression Data for Gene Ontology
ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION A Thesis Presented to The Graduate Faculty of The University of Akron In Partial Fulfillment of the Requirements for the Degree Master of Science Robert Daniel Macholan May 2011 ANALYSIS OF GENE EXPRESSION DATA FOR GENE ONTOLOGY BASED PROTEIN FUNCTION PREDICTION Robert Daniel Macholan Thesis Approved: Accepted: _______________________________ _______________________________ Advisor Department Chair Dr. Zhong-Hui Duan Dr. Chien-Chung Chan _______________________________ _______________________________ Committee Member Dean of the College Dr. Chien-Chung Chan Dr. Chand K. Midha _______________________________ _______________________________ Committee Member Dean of the Graduate School Dr. Yingcai Xiao Dr. George R. Newkome _______________________________ Date ii ABSTRACT A tremendous increase in genomic data has encouraged biologists to turn to bioinformatics in order to assist in its interpretation and processing. One of the present challenges that need to be overcome in order to understand this data more completely is the development of a reliable method to accurately predict the function of a protein from its genomic information. This study focuses on developing an effective algorithm for protein function prediction. The algorithm is based on proteins that have similar expression patterns. The similarity of the expression data is determined using a novel measure, the slope matrix. The slope matrix introduces a normalized method for the comparison of expression levels throughout a proteome. The algorithm is tested using real microarray gene expression data. Their functions are characterized using gene ontology annotations. The results of the case study indicate the protein function prediction algorithm developed is comparable to the prediction algorithms that are based on the annotations of homologous proteins. -
Binnenwerk Cindy Postma.Indd
CHAPTER 6 Multiple putative oncogenes at the chromosome 20q amplicon contribute to colorectal adenoma to carcinoma progression Gut 2009, 58: 79-89 Beatriz Carvalho Cindy Postma Sandra Mongera Erik Hopmans Sharon Diskin Mark A. van de Wiel Wim van Criekinge Olivier Thas Anja Matthäi Miguel A. Cuesta Jochim S. Terhaar sive Droste Mike Craanen Evelin Schröck Bauke Ylstra Gerrit A. Meijer 104 | Chapter 6 Abstract Objective: This study aimed to identify the oncogenes at 20q involved in colorectal adenoma to carcinoma progression by measuring the effect of 20q gain on mRNA expression of genes in this amplicon. Methods: Segmentation of DNA copy number changes on 20q was performed by array CGH in 34 non-progressed colorectal adenomas, 41 progressed adenomas (i.e. adenomas that present a focus of cancer) and 33 adenocarcinomas. Moreover, a robust analysis of altered expression of genes in these segments was performed by microarray analysis in 37 adenomas and 31 adenocarcinomas. Protein expression was evaluated by immunohistochemistry on tissue microarrays. Results: The genes C20orf24, AURKA, RNPC1, TH1L, ADRM1, C20orf20 and TCFL5, mapping at 20q were signifi cantly overexpressed in carcinomas compared to adenomas as consequence of copy number gain of 20q. Conclusion: This approach revealed C20orf24, AURKA, RNPC1, TH1L, ADRM1, C20orf20 and TCFL5 genes to be important in chromosomal instability-related adenoma to carcinoma progression. These genes therefore may serve as highly specifi c biomarkers for colorectal cancer with potential clinical applications. Putative oncogenes at chromosome 20q in colorectal carcinogenesis | 105 Introduction The majority of cancers are epithelial in origin and arise through a stepwise progression from normal cells, through dysplasia, into malignant cells that invade surrounding tissues and have metastatic potential. -
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. -
Pin1 Inhibitors: Towards Understanding the Enzymatic
Pin1 Inhibitors: Towards Understanding the Enzymatic Mechanism Guoyan Xu Dissertation submitted to the faculty of the Virginia Polytechnic Institute and State University In the partial fulfillment of the requirement for the degree of Doctor of Philosophy In Chemistry Felicia A Etzkorn, Chair David G. I. Kingston Neal Castagnoli Paul R. Carlier Brian E. Hanson May 6, 2010 Blacksburg, Virginia Keywords: Pin1, anti-cancer drug target, transition-state analogues, ketoamides, ketones, reduced amides, PPIase assay, inhibition Pin1 Inhibitors: Towards Understanding the Enzymatic Mechanism Guoyan Xu Abstract An important role of Pin1 is to catalyze the cis-trans isomerization of pSer/Thr- Pro bonds; as such, it plays an important role in many cellular events through the effects of conformational change on the function of its biological substrates, including Cdc25, c- Jun, and p53. The expression of Pin1 correlates with cyclin D1 levels, which contributes to cancer cell transformation. Overexpression of Pin1 promotes tumor growth, while its inhibition causes tumor cell apoptosis. Because Pin1 is overexpressed in many human cancer tissues, including breast, prostate, and lung cancer tissues, it plays an important role in oncogenesis, making its study vital for the development of anti-cancer agents. Many inhibitors have been discovered for Pin1, including 1) several classes of designed inhibitors such as alkene isosteres, non-peptidic, small molecular Pin1 inhibitors, and indanyl ketones, and 2) several natural products such as juglone, pepticinnamin E analogues, PiB and its derivatives obtained from a library screen. These Pin1 inhibitors show promise in the development of novel diagnostic and therapeutic anticancer drugs due to their ability to block cell cycle progression. -
Crystal Structure of the Eukaryotic 60S Ribosomal Subunit in Complex with Initiation Factor 6
Research Collection Doctoral Thesis Crystal structure of the eukaryotic 60S ribosomal subunit in complex with initiation factor 6 Author(s): Voigts-Hoffmann, Felix Publication Date: 2012 Permanent Link: https://doi.org/10.3929/ethz-a-007303759 Rights / License: In Copyright - Non-Commercial Use Permitted This page was generated automatically upon download from the ETH Zurich Research Collection. For more information please consult the Terms of use. ETH Library ETH Zurich Dissertation No. 20189 Crystal Structure of the Eukaryotic 60S Ribosomal Subunit in Complex with Initiation Factor 6 A dissertation submitted to ETH ZÜRICH for the degree of Doctor of Sciences (Dr. sc. ETH Zurich) presented by Felix Voigts-Hoffmann MSc Molecular Biotechnology, Universität Heidelberg born April 11, 1981 citizen of Göttingen, Germany accepted on recommendation of Prof. Dr. Nenad Ban (Examiner) Prof. Dr. Raimund Dutzler (Co-examiner) Prof. Dr. Rudolf Glockshuber (Co-examiner) 2012 blank page ii Summary Ribosomes are large complexes of several ribosomal RNAs and dozens of proteins, which catalyze the synthesis of proteins according to the sequence encoded in messenger RNA. Over the last decade, prokaryotic ribosome structures have provided the basis for a mechanistic understanding of protein synthesis. While the core functional centers are conserved in all kingdoms, eukaryotic ribosomes are much larger than archaeal or bacterial ribosomes. Eukaryotic ribosomal rRNA and proteins contain extensions or insertions to the prokaryotic core, and many eukaryotic proteins do not have prokaryotic counterparts. Furthermore, translation regulation and ribosome biogenesis is much more complex in eukaryotes, and defects in components of the translation machinery are associated with human diseases and cancer. -
Supplementary Figures 1-14 and Supplementary References
SUPPORTING INFORMATION Spatial Cross-Talk Between Oxidative Stress and DNA Replication in Human Fibroblasts Marko Radulovic,1,2 Noor O Baqader,1 Kai Stoeber,3† and Jasminka Godovac-Zimmermann1* 1Division of Medicine, University College London, Center for Nephrology, Royal Free Campus, Rowland Hill Street, London, NW3 2PF, UK. 2Insitute of Oncology and Radiology, Pasterova 14, 11000 Belgrade, Serbia 3Research Department of Pathology and UCL Cancer Institute, Rockefeller Building, University College London, University Street, London WC1E 6JJ, UK †Present Address: Shionogi Europe, 33 Kingsway, Holborn, London WC2B 6UF, UK TABLE OF CONTENTS 1. Supplementary Figures 1-14 and Supplementary References. Figure S-1. Network and joint spatial razor plot for 18 enzymes of glycolysis and the pentose phosphate shunt. Figure S-2. Correlation of SILAC ratios between OXS and OAC for proteins assigned to the SAME class. Figure S-3. Overlap matrix (r = 1) for groups of CORUM complexes containing 19 proteins of the 49-set. Figure S-4. Joint spatial razor plots for the Nop56p complex and FIB-associated complex involved in ribosome biogenesis. Figure S-5. Analysis of the response of emerin nuclear envelope complexes to OXS and OAC. Figure S-6. Joint spatial razor plots for the CCT protein folding complex, ATP synthase and V-Type ATPase. Figure S-7. Joint spatial razor plots showing changes in subcellular abundance and compartmental distribution for proteins annotated by GO to nucleocytoplasmic transport (GO:0006913). Figure S-8. Joint spatial razor plots showing changes in subcellular abundance and compartmental distribution for proteins annotated to endocytosis (GO:0006897). Figure S-9. Joint spatial razor plots for 401-set proteins annotated by GO to small GTPase mediated signal transduction (GO:0007264) and/or GTPase activity (GO:0003924). -
1 AGING Supplementary Table 2
SUPPLEMENTARY TABLES Supplementary Table 1. Details of the eight domain chains of KIAA0101. Serial IDENTITY MAX IN COMP- INTERFACE ID POSITION RESOLUTION EXPERIMENT TYPE number START STOP SCORE IDENTITY LEX WITH CAVITY A 4D2G_D 52 - 69 52 69 100 100 2.65 Å PCNA X-RAY DIFFRACTION √ B 4D2G_E 52 - 69 52 69 100 100 2.65 Å PCNA X-RAY DIFFRACTION √ C 6EHT_D 52 - 71 52 71 100 100 3.2Å PCNA X-RAY DIFFRACTION √ D 6EHT_E 52 - 71 52 71 100 100 3.2Å PCNA X-RAY DIFFRACTION √ E 6GWS_D 41-72 41 72 100 100 3.2Å PCNA X-RAY DIFFRACTION √ F 6GWS_E 41-72 41 72 100 100 2.9Å PCNA X-RAY DIFFRACTION √ G 6GWS_F 41-72 41 72 100 100 2.9Å PCNA X-RAY DIFFRACTION √ H 6IIW_B 2-11 2 11 100 100 1.699Å UHRF1 X-RAY DIFFRACTION √ www.aging-us.com 1 AGING Supplementary Table 2. Significantly enriched gene ontology (GO) annotations (cellular components) of KIAA0101 in lung adenocarcinoma (LinkedOmics). Leading Description FDR Leading Edge Gene EdgeNum RAD51, SPC25, CCNB1, BIRC5, NCAPG, ZWINT, MAD2L1, SKA3, NUF2, BUB1B, CENPA, SKA1, AURKB, NEK2, CENPW, HJURP, NDC80, CDCA5, NCAPH, BUB1, ZWILCH, CENPK, KIF2C, AURKA, CENPN, TOP2A, CENPM, PLK1, ERCC6L, CDT1, CHEK1, SPAG5, CENPH, condensed 66 0 SPC24, NUP37, BLM, CENPE, BUB3, CDK2, FANCD2, CENPO, CENPF, BRCA1, DSN1, chromosome MKI67, NCAPG2, H2AFX, HMGB2, SUV39H1, CBX3, TUBG1, KNTC1, PPP1CC, SMC2, BANF1, NCAPD2, SKA2, NUP107, BRCA2, NUP85, ITGB3BP, SYCE2, TOPBP1, DMC1, SMC4, INCENP. RAD51, OIP5, CDK1, SPC25, CCNB1, BIRC5, NCAPG, ZWINT, MAD2L1, SKA3, NUF2, BUB1B, CENPA, SKA1, AURKB, NEK2, ESCO2, CENPW, HJURP, TTK, NDC80, CDCA5, BUB1, ZWILCH, CENPK, KIF2C, AURKA, DSCC1, CENPN, CDCA8, CENPM, PLK1, MCM6, ERCC6L, CDT1, HELLS, CHEK1, SPAG5, CENPH, PCNA, SPC24, CENPI, NUP37, FEN1, chromosomal 94 0 CENPL, BLM, KIF18A, CENPE, MCM4, BUB3, SUV39H2, MCM2, CDK2, PIF1, DNA2, region CENPO, CENPF, CHEK2, DSN1, H2AFX, MCM7, SUV39H1, MTBP, CBX3, RECQL4, KNTC1, PPP1CC, CENPP, CENPQ, PTGES3, NCAPD2, DYNLL1, SKA2, HAT1, NUP107, MCM5, MCM3, MSH2, BRCA2, NUP85, SSB, ITGB3BP, DMC1, INCENP, THOC3, XPO1, APEX1, XRCC5, KIF22, DCLRE1A, SEH1L, XRCC3, NSMCE2, RAD21. -
Anti-Inflammatory Role of Curcumin in LPS Treated A549 Cells at Global Proteome Level and on Mycobacterial Infection
Anti-inflammatory Role of Curcumin in LPS Treated A549 cells at Global Proteome level and on Mycobacterial infection. Suchita Singh1,+, Rakesh Arya2,3,+, Rhishikesh R Bargaje1, Mrinal Kumar Das2,4, Subia Akram2, Hossain Md. Faruquee2,5, Rajendra Kumar Behera3, Ranjan Kumar Nanda2,*, Anurag Agrawal1 1Center of Excellence for Translational Research in Asthma and Lung Disease, CSIR- Institute of Genomics and Integrative Biology, New Delhi, 110025, India. 2Translational Health Group, International Centre for Genetic Engineering and Biotechnology, New Delhi, 110067, India. 3School of Life Sciences, Sambalpur University, Jyoti Vihar, Sambalpur, Orissa, 768019, India. 4Department of Respiratory Sciences, #211, Maurice Shock Building, University of Leicester, LE1 9HN 5Department of Biotechnology and Genetic Engineering, Islamic University, Kushtia- 7003, Bangladesh. +Contributed equally for this work. S-1 70 G1 S 60 G2/M 50 40 30 % of cells 20 10 0 CURI LPSI LPSCUR Figure S1: Effect of curcumin and/or LPS treatment on A549 cell viability A549 cells were treated with curcumin (10 µM) and/or LPS or 1 µg/ml for the indicated times and after fixation were stained with propidium iodide and Annexin V-FITC. The DNA contents were determined by flow cytometry to calculate percentage of cells present in each phase of the cell cycle (G1, S and G2/M) using Flowing analysis software. S-2 Figure S2: Total proteins identified in all the three experiments and their distribution betwee curcumin and/or LPS treated conditions. The proteins showing differential expressions (log2 fold change≥2) in these experiments were presented in the venn diagram and certain number of proteins are common in all three experiments. -
Multi‑Resolution Functional Summarization and Alignment of Biological Network Models
This document is downloaded from DR‑NTU (https://dr.ntu.edu.sg) Nanyang Technological University, Singapore. Multi‑resolution functional summarization and alignment of biological network models Seah, Boon Siew 2014 Seah, B. S. (2014). Multi‑resolution functional summarization and alignment of biological network models. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/60641 https://doi.org/10.32657/10356/60641 Downloaded on 07 Oct 2021 12:44:34 SGT ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library Multi-resolution Functional Summarization and Alignment of Biological Network Models Seah Boon Siew A THESIS SUBMITTED FOR THE DEGREE OF DOCTOR OF PHILOSOPHY IN COMPUTATION AND SYSTEMS BIOLOGY (CSB) SINGAPORE-MIT ALLIANCE NANYANG TECHNOLOGICAL UNIVERSITY Feb 17, 2014 ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library DECLARATION I hereby declare that this thesis is my original work and it has been written by me in its entirety. I have duly acknowledged all the sources of information which have been used in the thesis. This thesis has also not been submitted for any degree in any university previously. Seah Boon Siew Feb 17, 2014 ii ATTENTION: The Singapore Copyright Act applies to the use of this document. Nanyang Technological University Library Acknowledgments I would like to thank my supervisor Assoc. Prof. Sourav S. Bhowmick (NTU) and my co-supervisor Prof. C. Forbes Dewey, Jr. (MIT) for their guidance and support. -
Towards Relating the Evolution of the Gene Repertoire in Mammals to Tissue Specialisation
Towards Relating the Evolution of the Gene Repertoire in Mammals to Tissue Specialisation Shiri Freilich Wolfson College This dissertation is submitted to the University of Cambridge for the degree of Doctor of Philosophy 21 December 2006 To Leon, who was the wind blowing in my sails, in the deep blue sea of this journey of ours. This Thesis is the result of my own work and includes nothing which is the outcome of work done in collaboration except where specifically indicated in the text. This Thesis does not exceed the specified length limit of 300 pages as defined by the Biology Degree Committee. This Thesis has been typeset in 12pt font according to the specifications defined by the Board of Graduate Studies and the Biology Degree Committee. 3 Summary: Towards Relating the Evolution of the Gene Repertoire in Mammals to Tissue Specialisation The sequencing efforts of recent years have provided a rich source of data for investigating how gene content determines similarity and uniqueness in a species’ phenotype. Work described in this PhD Thesis attempts to relate innovations in the gene repertoire along the mammalian lineage to the most obvious phenotypic characteristic of animals: the appearance of highly differentiated tissue types. Several different approaches, outlined below, have been followed to address some aspects of this problem. Initially, a comprehensive study of the pattern of expansion of the complement of enzymes in various species was performed in order to obtain a better view of the principles underlying the expansion of the gene repertoire in mammals. Although several studies have described a tendency toward an increase in sequence redundancy in mammals, not much is known about the way such sequence redundancy reflects functional redundancy.