New Approaches to Functional Process Discovery in HPV 16-Associated Cervical Cancer Cells by Gene Ontology
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A New Genetic Method for Isolating Functionally Interacting Genes
Copyright 2000 by the Genetics Society of America A New Genetic Method for Isolating Functionally Interacting Genes: High plo1؉-Dependent Mutants and Their Suppressors De®ne Genes in Mitotic and Septation Pathways in Fission Yeast C. Fiona Cullen,*,² Karen M. May,* Iain M. Hagan,³ David M. Glover²,§ and Hiroyuki Ohkura*,² *Institute of Cell and Molecular Biology, The University of Edinburgh, Edinburgh EH9 3JR, United Kingdom, ²Department of Anatomy and Physiology, Medical Sciences Institute, The University of Dundee, Dundee DD1 4HN, United Kingdom, ³School of Biological Sciences, The University of Manchester, Manchester M13 9PT, United Kingdom and §Department of Genetics, University of Cambridge, Cambridge CB2 3EH, United Kingdom Manuscript received February 2, 2000 Accepted for publication April 10, 2000 ABSTRACT We describe a general genetic method to identify genes encoding proteins that functionally interact with and/or are good candidates for downstream targets of a particular gene product. The screen identi®es mutants whose growth depends on high levels of expression of that gene. We apply this to the plo1ϩ gene that encodes a ®ssion yeast homologue of the polo-like kinases. plo1ϩ regulates both spindle formation and septation. We have isolated 17 high plo1ϩ-dependent (pld) mutants that show defects in mitosis or septation. Three mutants show a mitotic arrest phenotype. Among the 14 pld mutants with septation defects, 12 mapped to known loci: cdc7, cdc15, cdc11 spg1, and sid2. One of the pld mutants, cdc7-PD1, was selected for suppressor analysis. As multicopy suppressors, we isolated four known genes involved in septation in ®ssion yeast: spg1ϩ, sce3ϩ, cdc8ϩ, and rho1ϩ, and two previously uncharacterized genes, mpd1ϩ and mpd2ϩ. -
In Silico Prediction of High-Resolution Hi-C Interaction Matrices
ARTICLE https://doi.org/10.1038/s41467-019-13423-8 OPEN In silico prediction of high-resolution Hi-C interaction matrices Shilu Zhang1, Deborah Chasman 1, Sara Knaack1 & Sushmita Roy1,2* The three-dimensional (3D) organization of the genome plays an important role in gene regulation bringing distal sequence elements in 3D proximity to genes hundreds of kilobases away. Hi-C is a powerful genome-wide technique to study 3D genome organization. Owing to 1234567890():,; experimental costs, high resolution Hi-C datasets are limited to a few cell lines. Computa- tional prediction of Hi-C counts can offer a scalable and inexpensive approach to examine 3D genome organization across multiple cellular contexts. Here we present HiC-Reg, an approach to predict contact counts from one-dimensional regulatory signals. HiC-Reg pre- dictions identify topologically associating domains and significant interactions that are enri- ched for CCCTC-binding factor (CTCF) bidirectional motifs and interactions identified from complementary sources. CTCF and chromatin marks, especially repressive and elongation marks, are most important for HiC-Reg’s predictive performance. Taken together, HiC-Reg provides a powerful framework to generate high-resolution profiles of contact counts that can be used to study individual locus level interactions and higher-order organizational units of the genome. 1 Wisconsin Institute for Discovery, 330 North Orchard Street, Madison, WI 53715, USA. 2 Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI 53715, USA. *email: [email protected] NATURE COMMUNICATIONS | (2019) 10:5449 | https://doi.org/10.1038/s41467-019-13423-8 | www.nature.com/naturecommunications 1 ARTICLE NATURE COMMUNICATIONS | https://doi.org/10.1038/s41467-019-13423-8 he three-dimensional (3D) organization of the genome has Results Temerged as an important component of the gene regulation HiC-Reg for predicting contact count using Random Forests. -
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. -
A Network-Informed Analysis of SARS-Cov-2 and Hemophagocytic Lymphohistiocytosis Genes' Interactions Points to Neutrophil Extr
medRxiv preprint doi: https://doi.org/10.1101/2020.07.01.20144121; this version posted July 2, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted medRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license . 1 A network-informed analysis of SARS-CoV-2 and hemophagocytic 2 lymphohistiocytosis genes’ interactions points to Neutrophil Extracellular Traps as 3 mediators of thromBosis in COVID-19 4 5 Jun Ding1, David Earl Hostallero2, Mohamed Reda El Khili2, Gregory Fonseca3, Simon 6 Millette4, Nuzha Noorah3, Myriam Guay-Belzile3, Jonathan Spicer5, Noriko Daneshtalab6, 7 Martin Sirois7, Karine Tremblay8, Amin Emad2,* and Simon Rousseau3,* 8 9 10 1Computational Biology Department, Carnegie Mellon University, Pittsburgh, PA, USA, 15204 11 12 2Department of Electrical and Computer Engineering, McGill University, Montreal, QC, Canada. 13 14 3The Meakins-Christie Laboratories at the Research Institute of the McGill University Heath 15 Centre Research Institute, 1001 Boul. Décarie, Montréal, H4A 3J1, Canada. 16 17 4Goodman Cancer Research Centre, McGill University 18 19 5Division of Thoracic and Upper Gastrointestinal Surgery, McGill University Health Centre 20 Research Institute, 1001 Boul. Décarie, Montréal, H4A 3J1, Canada. 21 22 6School of Pharmacy, Memorial University of Newfoundland, 300 Prince Philip Drive, Health 23 Sciences Center, St. John’s, Newfoundland, Canada, A1B 3V6 24 25 7Montreal Heart Institute and Department of pharmacology and physiology, Faculty of medicine, 26 Université de Montréal. 27 28 8Pharmacology-physiology Department, Faculty of Medicine and Health Sciences, Université de 29 Sherbrooke, Centre intégré universitaire de santé et de services sociaux du Saguenay–Lac-Saint- 30 Jean (Chicoutimi University Hospital) Research Center, Saguenay, QC, Canada. -
Molecular Basis for the Distinct Cellular Functions of the Lsm1-7 and Lsm2-8 Complexes
bioRxiv preprint doi: https://doi.org/10.1101/2020.04.22.055376; this version posted April 23, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. Molecular basis for the distinct cellular functions of the Lsm1-7 and Lsm2-8 complexes Eric J. Montemayor1,2, Johanna M. Virta1, Samuel M. Hayes1, Yuichiro Nomura1, David A. Brow2, Samuel E. Butcher1 1Department of Biochemistry, University of Wisconsin-Madison, Madison, WI, USA. 2Department of Biomolecular Chemistry, University of Wisconsin School of Medicine and Public Health, Madison, WI, USA. Correspondence should be addressed to E.J.M. ([email protected]) and S.E.B. ([email protected]). Abstract Eukaryotes possess eight highly conserved Lsm (like Sm) proteins that assemble into circular, heteroheptameric complexes, bind RNA, and direct a diverse range of biological processes. Among the many essential functions of Lsm proteins, the cytoplasmic Lsm1-7 complex initiates mRNA decay, while the nuclear Lsm2-8 complex acts as a chaperone for U6 spliceosomal RNA. It has been unclear how these complexes perform their distinct functions while differing by only one out of seven subunits. Here, we elucidate the molecular basis for Lsm-RNA recognition and present four high-resolution structures of Lsm complexes bound to RNAs. The structures of Lsm2-8 bound to RNA identify the unique 2′,3′ cyclic phosphate end of U6 as a prime determinant of specificity. In contrast, the Lsm1-7 complex strongly discriminates against cyclic phosphates and tightly binds to oligouridylate tracts with terminal purines. -
LSM3 (1-102, His-Tag) Human Protein – AR50284PU-S | Origene
OriGene Technologies, Inc. 9620 Medical Center Drive, Ste 200 Rockville, MD 20850, US Phone: +1-888-267-4436 [email protected] EU: [email protected] CN: [email protected] Product datasheet for AR50284PU-S LSM3 (1-102, His-tag) Human Protein Product data: Product Type: Recombinant Proteins Description: LSM3 (1-102, His-tag) human recombinant protein, 0.1 mg Species: Human Expression Host: E. coli Tag: His-tag Predicted MW: 14.3 kDa Concentration: lot specific Purity: >90% by SDS - PAGE Buffer: Presentation State: Purified State: Liquid purified protein Buffer System: 20 mM Tris-HCl buffer (pH 8.0) containing 2mM DTT, 20% glycerol, 100mM NaCl Preparation: Liquid purified protein Protein Description: Recombinant human LSM3 protein, fused to His-tag at N-terminus, was expressed in E.coli and purified by using conventional chromatography techniques. Storage: Store undiluted at 2-8°C for one week or (in aliquots) at -20°C to -80°C for longer. Avoid repeated freezing and thawing. Stability: Shelf life: one year from despatch. RefSeq: NP_055278 Locus ID: 27258 UniProt ID: P62310 Cytogenetics: 3p25.1 Synonyms: SMX4; USS2; YLR438C Summary: Sm-like proteins were identified in a variety of organisms based on sequence homology with the Sm protein family (see SNRPD2; MIM 601061). Sm-like proteins contain the Sm sequence motif, which consists of 2 regions separated by a linker of variable length that folds as a loop. The Sm-like proteins are thought to form a stable heteromer present in tri-snRNP particles, which are important for pre-mRNA splicing.[supplied by OMIM, Apr 2004] This product is to be used for laboratory only. -
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. -
Screening of a Clinically and Biochemically Diagnosed SOD Patient Using Exome Sequencing: a Case Report with a Mutations/Variations Analysis Approach
The Egyptian Journal of Medical Human Genetics (2016) 17, 131–136 HOSTED BY Ain Shams University The Egyptian Journal of Medical Human Genetics www.ejmhg.eg.net www.sciencedirect.com CASE REPORT Screening of a clinically and biochemically diagnosed SOD patient using exome sequencing: A case report with a mutations/variations analysis approach Mohamad-Reza Aghanoori a,b,1, Ghazaleh Mohammadzadeh Shahriary c,2, Mahdi Safarpour d,3, Ahmad Ebrahimi d,* a Department of Medical Genetics, Shiraz University of Medical Sciences, Shiraz, Iran b Research and Development Division, RoyaBioGene Co., Tehran, Iran c Department of Genetics, Shahid Chamran University of Ahvaz, Ahvaz, Iran d Cellular and Molecular Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran Received 12 May 2015; accepted 15 June 2015 Available online 22 July 2015 KEYWORDS Abstract Background: Sulfite oxidase deficiency (SOD) is a rare neurometabolic inherited disor- Sulfite oxidase deficiency; der causing severe delay in developmental stages and premature death. The disease follows an auto- Case report; somal recessive pattern of inheritance and causes deficiency in the activity of sulfite oxidase, an Exome sequencing enzyme that normally catalyzes conversion of sulfite to sulfate. Aim of the study: SOD is an underdiagnosed disorder and its diagnosis can be difficult in young infants as early clinical features and neuroimaging changes may imitate some common diseases. Since the prognosis of the disease is poor, using exome sequencing as a powerful and efficient strat- egy for identifying the genes underlying rare mendelian disorders can provide important knowledge about early diagnosis, disease mechanisms, biological pathways, and potential therapeutic targets. -
Renal Cell Neoplasms Contain Shared Tumor Type–Specific Copy Number Variations
The American Journal of Pathology, Vol. 180, No. 6, June 2012 Copyright © 2012 American Society for Investigative Pathology. Published by Elsevier Inc. All rights reserved. http://dx.doi.org/10.1016/j.ajpath.2012.01.044 Tumorigenesis and Neoplastic Progression Renal Cell Neoplasms Contain Shared Tumor Type–Specific Copy Number Variations John M. Krill-Burger,* Maureen A. Lyons,*† The annual incidence of renal cell carcinoma (RCC) has Lori A. Kelly,*† Christin M. Sciulli,*† increased steadily in the United States for the past three Patricia Petrosko,*† Uma R. Chandran,†‡ decades, with approximately 58,000 new cases diag- 1,2 Michael D. Kubal,§ Sheldon I. Bastacky,*† nosed in 2010, representing 3% of all malignancies. Anil V. Parwani,*†‡ Rajiv Dhir,*†‡ and Treatment of RCC is complicated by the fact that it is not a single disease but composes multiple tumor types with William A. LaFramboise*†‡ different morphological characteristics, clinical courses, From the Departments of Pathology* and Biomedical and outcomes (ie, clear-cell carcinoma, 82% of RCC ‡ Informatics, University of Pittsburgh, Pittsburgh, Pennsylvania; cases; type 1 or 2 papillary tumors, 11% of RCC cases; † the University of Pittsburgh Cancer Institute, Pittsburgh, chromophobe tumors, 5% of RCC cases; and collecting § Pennsylvania; and Life Technologies, Carlsbad, California duct carcinoma, approximately 1% of RCC cases).2,3 Benign renal neoplasms are subdivided into papillary adenoma, renal oncocytoma, and metanephric ade- Copy number variant (CNV) analysis was performed on noma.2,3 Treatment of RCC often involves surgical resec- renal cell carcinoma (RCC) specimens (chromophobe, tion of a large renal tissue component or removal of the clear cell, oncocytoma, papillary type 1, and papillary entire affected kidney because of the relatively large size of type 2) using high-resolution arrays (1.85 million renal tumors on discovery and the availability of a life-sus- probes). -
A Genome-Wide Association Study of Asthma Symptoms in Latin American Children Gustavo N
Costa et al. BMC Genetics (2015) 16:141 DOI 10.1186/s12863-015-0296-7 RESEARCH ARTICLE Open Access A genome-wide association study of asthma symptoms in Latin American children Gustavo N. O. Costa1*, Frank Dudbridge12, Rosemeire L. Fiaccone2, Thiago M. da Silva1, Jackson S. Conceição2, Agostino Strina1, Camila A. Figueiredo3, Wagner C. S. Magalhães4, Maira R. Rodrigues4, Mateus H. Gouveia4, Fernanda S. G. Kehdy4, Andrea R. V. R. Horimoto5, Bernardo Horta6, Esteban G. Burchard7, Maria Pino-Yanes7, Blanca Del Rio Navarro8, Isabelle Romieu9, Dana B. Hancock10, Stephanie London8, Maria Fernanda Lima-Costa11, Alexandre C. Pereira11, Eduardo Tarazona4, Laura C Rodrigues13 and Mauricio L. Barreto1,14 Abstract Background: Asthma is a chronic disease of the airways and, despite the advances in the knowledge of associated genetic regions in recent years, their mechanisms have yet to be explored. Several genome-wide association studies have been carried out in recent years, but none of these have involved Latin American populations with a high level of miscegenation, as is seen in the Brazilian population. Methods: 1246 children were recruited from a longitudinal cohort study in Salvador, Brazil. Asthma symptoms were identified in accordance with an International Study of Asthma and Allergies in Childhood (ISAAC) questionnaire. Following quality control, 1 877 526 autosomal SNPs were tested for association with childhood asthma symptoms by logistic regression using an additive genetic model. We complemented the analysis with an estimate of the phenotypic -
Proteomics Provides Insights Into the Inhibition of Chinese Hamster V79
www.nature.com/scientificreports OPEN Proteomics provides insights into the inhibition of Chinese hamster V79 cell proliferation in the deep underground environment Jifeng Liu1,2, Tengfei Ma1,2, Mingzhong Gao3, Yilin Liu4, Jun Liu1, Shichao Wang2, Yike Xie2, Ling Wang2, Juan Cheng2, Shixi Liu1*, Jian Zou1,2*, Jiang Wu2, Weimin Li2 & Heping Xie2,3,5 As resources in the shallow depths of the earth exhausted, people will spend extended periods of time in the deep underground space. However, little is known about the deep underground environment afecting the health of organisms. Hence, we established both deep underground laboratory (DUGL) and above ground laboratory (AGL) to investigate the efect of environmental factors on organisms. Six environmental parameters were monitored in the DUGL and AGL. Growth curves were recorded and tandem mass tag (TMT) proteomics analysis were performed to explore the proliferative ability and diferentially abundant proteins (DAPs) in V79 cells (a cell line widely used in biological study in DUGLs) cultured in the DUGL and AGL. Parallel Reaction Monitoring was conducted to verify the TMT results. γ ray dose rate showed the most detectable diference between the two laboratories, whereby γ ray dose rate was signifcantly lower in the DUGL compared to the AGL. V79 cell proliferation was slower in the DUGL. Quantitative proteomics detected 980 DAPs (absolute fold change ≥ 1.2, p < 0.05) between V79 cells cultured in the DUGL and AGL. Of these, 576 proteins were up-regulated and 404 proteins were down-regulated in V79 cells cultured in the DUGL. KEGG pathway analysis revealed that seven pathways (e.g. -
An Investigation Into the Genetic Architecture of Multiple System Atrophy and Familial Parkinson's Disease
An investigation into the genetic architecture of multiple system atrophy and familial Parkinson’s disease By Monica Federoff A thesis submitted to University College London for the degree of Doctor of Philosophy Laboratory of Neurogenetics, Department of Molecular Neuroscience, Institute of Neurology, University College London (UCL) 2 I, Monica Federoff, confirm that the work presented in this thesis is my own. Information derived from other sources and collaborative work have been indicated appropriately. Signature: Date: 09/06/2016 3 Acknowledgements: When I first joined the Laboratory of Neurogenetics (LNG), NIA, NIH as a summer intern in 2008, I had minimal experience working in a laboratory and was both excited and anxious at the prospect of it. From my very first day, Dr. Andrew Singleton was incredibly welcoming and introduced me to my first mentor, Dr. Javier Simon- Sanchez. Within just ten weeks working in the lab, both Dr. Singleton and Dr. Simon- Sanchez taught me the fundamental skills in an encouraging and supportive environment. I quickly got to know others in the lab, some of whom are still here today, and I sincerely appreciate their help with my assimilation into the LNG. After returning for an additional summer and one year as an IRTA postbac, I was honored to pursue a PhD in such an intellectually stimulating and comfortable environment. I am so grateful that Dr. Singleton has been such a wonderful mentor, as he is not only a brilliant scientist, but also extremely personable and approachable. If I inquire about meeting with him, he always manages to make time in his busy schedule and provides excellent guidance and mentorship.