High-Throughput Phenotypic Characterization of Zebrafish CRISPR
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A Genetic Screen Identifies the Triple T Complex Required for DNA Damage Signaling and ATM and ATR Stability
Downloaded from genesdev.cshlp.org on September 27, 2021 - Published by Cold Spring Harbor Laboratory Press A genetic screen identifies the Triple T complex required for DNA damage signaling and ATM and ATR stability Kristen E. Hurov, Cecilia Cotta-Ramusino, and Stephen J. Elledge1 Howard Hughes Medical Institute and Department of Genetics, Harvard Medical School, Division of Genetics, Brigham and Women’s Hospital, Boston, Massachusetts 02115, USA In response to DNA damage, cells activate a complex signal transduction network called the DNA damage response (DDR). To enhance our current understanding of the DDR network, we performed a genome-wide RNAi screen to identify genes required for resistance to ionizing radiation (IR). Along with a number of known DDR genes, we discovered a large set of novel genes whose depletion leads to cellular sensitivity to IR. Here we describe TTI1 (Tel two-interacting protein 1) and TTI2 as highly conserved regulators of the DDR in mammals. TTI1 and TTI2 protect cells from spontaneous DNA damage, and are required for the establishment of the intra-S and G2/M checkpoints. TTI1 and TTI2 exist in multiple complexes, including a 2-MDa complex with TEL2 (telomere maintenance 2), called the Triple T complex, and phosphoinositide-3-kinase-related protein kinases (PIKKs) such as ataxia telangiectasia-mutated (ATM). The components of the TTT complex are mutually dependent on each other, and act as critical regulators of PIKK abundance and checkpoint signaling. [Keywords: TTI1; TEL2; TTI2; PIKK; TTT complex; IR sensitivity] Supplemental material is available at http://www.genesdev.org. Received April 5, 2010; revised version accepted July 22, 2010. -
Bioinformatics Applications Through Visualization of Variations on Protein
1 Bioinformatics applications through visualization of variations on protein structures, comparative functional genomics, and comparative modeling for protein structure studies A dissertation presented by Alper Uzun to The Department of Biology In partial fulfillment of the requirements for the degree of Doctor of Philosophy in the field of Biology Northeastern University Boston, Massachusetts July 2009 2 ©2009 Alper Uzun ALL RIGHTS RESERVED 3 Bioinformatics applications through visualization of variations on protein structures, comparative functional genomics, and comparative modeling for protein structure studies by Alper Uzun ABSTRACT OF DISSERTATION Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Biology in the Graduate School of Arts and Sciences of Northeastern University, July, 2009 4 Abstract The three-dimensional structure of a protein provides important information for understanding and answering many biological questions in molecular detail. The rapidly growing number of sequenced genes and related genomic information is intensively accumulating in the biological databases. It is significantly important to combine biological data and developing bioinformatics tools while information of protein sequences, structures and DNA sequences are exponentially growing. On the other hand, especially the number of known protein sequences is much larger than the number of experimentally solved protein structures. However the experimental methods cannot always be applied or protein structures -
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. -
Transcription-Replication Collisions—A Series of Unfortunate Events
biomolecules Review Transcription-Replication Collisions—A Series of Unfortunate Events Commodore St Germain 1,2,*, Hongchang Zhao 2 and Jacqueline H. Barlow 2,* 1 School of Mathematics and Science, Solano Community College, 4000 Suisun Valley Road, Fairfield, CA 94534, USA 2 Department of Microbiology and Molecular Genetics, University of California Davis, One Shields Avenue, Davis, CA 95616, USA; [email protected] * Correspondence: [email protected] (C.S.G.); [email protected] (J.H.B.) Abstract: Transcription-replication interactions occur when DNA replication encounters genomic regions undergoing transcription. Both replication and transcription are essential for life and use the same DNA template making conflicts unavoidable. R-loops, DNA supercoiling, DNA secondary structure, and chromatin-binding proteins are all potential obstacles for processive replication or transcription and pose an even more potent threat to genome integrity when these processes co-occur. It is critical to maintaining high fidelity and processivity of transcription and replication while navigating through a complex chromatin environment, highlighting the importance of defining cellular pathways regulating transcription-replication interaction formation, evasion, and resolution. Here we discuss how transcription influences replication fork stability, and the safeguards that have evolved to navigate transcription-replication interactions and maintain genome integrity in mammalian cells. Keywords: DNA replication; transcription; R-loops; replication stress Citation: St Germain, C.; Zhao, H.; Barlow, J.H. Transcription-Replication Collisions—A Series of Unfortunate Events. Biomolecules 2021, 11, 1249. 1. Introduction https://doi.org/10.3390/ From bacteria to humans, transcription has been identified as a source of genome biom11081249 instability, initially observed as spontaneous recombination referred to as transcription- associated recombination (TAR) [1]. -
Nucleoporin TPR Is an Integral Component of the TREX-2 Mrna Export Pathway
ARTICLE https://doi.org/10.1038/s41467-020-18266-2 OPEN Nucleoporin TPR is an integral component of the TREX-2 mRNA export pathway Vasilisa Aksenova1, Alexandra Smith1, Hangnoh Lee1, Prasanna Bhat 2, Caroline Esnault3, Shane Chen1, James Iben4, Ross Kaufhold1, Ka Chun Yau 1, Carlos Echeverria1, Beatriz Fontoura 2, Alexei Arnaoutov1 & ✉ Mary Dasso 1 Nuclear pore complexes (NPCs) are important for cellular functions beyond nucleocyto- 1234567890():,; plasmic trafficking, including genome organization and gene expression. This multi-faceted nature and the slow turnover of NPC components complicates investigations of how indi- vidual nucleoporins act in these diverse processes. To address this question, we apply an Auxin-Induced Degron (AID) system to distinguish roles of basket nucleoporins NUP153, NUP50 and TPR. Acute depletion of TPR causes rapid and pronounced changes in tran- scriptomic profiles. These changes are dissimilar to shifts observed after loss of NUP153 or NUP50, but closely related to changes caused by depletion of mRNA export receptor NXF1 or the GANP subunit of the TRanscription-EXport-2 (TREX-2) mRNA export complex. More- over, TPR depletion disrupts association of TREX-2 subunits (GANP, PCID2, ENY2) to NPCs and results in abnormal RNA transcription and export. Our findings demonstrate a unique and pivotal role of TPR in gene expression through TREX-2- and/or NXF1-dependent mRNA turnover. 1 Division of Molecular and Cellular Biology, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20892, USA. 2 Department of Cell Biology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA. 3 Bioinformatics and Scientific Programming Core, National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD 20879, USA. -
Current State of Mtor Targeting in Human Breast Cancer UMAR WAZIR 1,2 , ALI WAZIR 3, ZUBAIR S
CANCER GENOMICS & PROTEOMICS 11 : 167-174 (2014) Review Current State of mTOR Targeting in Human Breast Cancer UMAR WAZIR 1,2 , ALI WAZIR 3, ZUBAIR S. KHANZADA 4, WEN G. JIANG 4, ANUP K. SHARMA 2 and KEFAH MOKBEL 1,2 1The London Breast Institute, Princess Grace Hospital, London, U.K.; 2Department of Breast Surgery, St. George’s Hospital and Medical School, University of London, London, U.K.; 3Aga Khan University, Karachi, Pakistan; 4Cardiff University-Peking University Cancer Institute (CUPUCI), University Department of Surgery, Cardiff University School of Medicine, Cardiff University, Cardiff, Wales, U.K. Abstract. Background/Aim: The mammalian, or Subsequently, it was found to have immunosuppressive mechanistic, target of rapamycin (mTOR) pathway has been properties, and is currently used therapeutically in renal implicated in several models of human oncogenesis. transplant patients. Like tacrolimus and cyclosporine, it Research in the role of mTOR in human oncogenesis affects the actions of interlekin-2 (IL-2). Unlike tacrolimus, remains a field of intense activity. In this mini-review, we which reduces IL-2 transcription by T-cells, sirolimus intend to recount our current understanding of the mTOR inhibits the proliferative effects of IL-2 on T-cells (3). In pathway, its interactions, and its role in human mammalian models, rapamycin was known to form a carcinogenesis in general, and breast cancer in particular. complex with FK506 binding protein 1A, 12 kDa Materials and Methods: We herein outline the discrete (FKBP12), which interacts with the mammalian, or components of the two complexes of mTOR, and attempt to mechanistic, target of rapamycin (mTOR) subunit of define their distinct roles and interactions. -
HHS Public Access Author Manuscript
HHS Public Access Author manuscript Author Manuscript Author ManuscriptGenet Epidemiol Author Manuscript. Author Author Manuscript manuscript; available in PMC 2016 June 01. Published in final edited form as: Genet Epidemiol. 2015 December ; 39(8): 664–677. doi:10.1002/gepi.21932. Multiple SNP-sets Analysis for Genome-wide Association Studies through Bayesian Latent Variable Selection Zhaohua Lu, Hongtu Zhu, Rebecca C Knickmeyer, Patrick F. Sullivan, Williams N. Stephanie, and Fei Zou for the Alzheimer’s Disease Neuroimaging Initiative* Departments of Biostatistics, Psychiatry, and Genetics and Biomedical Research Imaging Center, University of North Carolina at Chapel Hill, Chapel Hill, NC 27599, USA Abstract The power of genome-wide association studies (GWAS) for mapping complex traits with single SNP analysis may be undermined by modest SNP effect sizes, unobserved causal SNPs, correlation among adjacent SNPs, and SNP-SNP interactions. Alternative approaches for testing the association between a single SNP-set and individual phenotypes have been shown to be promising for improving the power of GWAS. We propose a Bayesian latent variable selection (BLVS) method to simultaneously model the joint association mapping between a large number of SNP-sets and complex traits. Compared to single SNP-set analysis, such joint association mapping not only accounts for the correlation among SNP-sets, but also is capable of detecting causal SNP- sets that are marginally uncorrelated with traits. The spike-slab prior assigned to the effects of SNP-sets can greatly reduce the dimension of effective SNP-sets, while speeding up computation. An efficient MCMC algorithm is developed. Simulations demonstrate that BLVS outperforms several competing variable selection methods in some important scenarios. -
Molecular Evolution in Immune Genes Across the Avian Tree of Life Cambridge.Org/Pao
Parasitology Open Molecular evolution in immune genes across the avian tree of life cambridge.org/pao Diana C. Outlaw1, V. Woody Walstrom1, Haley N. Bodden1, Chuan-yu Hsu2, Mark Arick II2 and Daniel G. Peterson2 Research Article 1Department of Biological Sciences, Mississippi State University, PO Box GY, Mississippi State, MS 39762, USA and Cite this article: Outlaw DC, Walstrom VW, 2Institute for Genomics, Biocomputing & Biotechnology, Mississippi State University, 2 Research Boulevard, Box Bodden HN, Hsu Chuan-yu, Arick II M, Peterson 9627, Starkville, MS 39759, USA DG (2019). Molecular evolution in immune genes across the avian tree of life. Parasitology Open 5, e3, 1–9. https://doi.org/10.1017/ Abstract pao.2019.3 All organisms encounter pathogens, and birds are especially susceptible to infection by mal- Received: 11 July 2018 aria parasites and other haemosporidians. It is important to understand how immune genes, Revised: 22 February 2019 primarily innate immune genes which are the first line of host defense, have evolved across Accepted: 22 February 2019 birds, a highly diverse group of tetrapods. Here, we find that innate immune genes are highly Key words: conserved across the avian tree of life and that although most show evidence of positive or Malaria parasites; haemosporidians; birds; diversifying selection within specific lineages or clades, the number of sites is often propor- molecular evolution; immune genes; innate tionally low in this broader context of putative constraint. Rather, evidence shows a much immunity; bird transcriptome higher level of negative or purifying selection in these innate immune genes – rather than – ’ Author for correspondence: adaptive immune genes which is consistent with birds long coevolutionary history with Diana C. -
Bioinformatics Tools for the Analysis of Gene-Phenotype Relationships Coupled with a Next Generation Chip-Sequencing Data Processing Pipeline
Bioinformatics Tools for the Analysis of Gene-Phenotype Relationships Coupled with a Next Generation ChIP-Sequencing Data Processing Pipeline Erinija Pranckeviciene Thesis submitted to the Faculty of Graduate and Postdoctoral Studies in partial fulfillment of the requirements for the Doctorate in Philosophy degree in Cellular and Molecular Medicine Department of Cellular and Molecular Medicine Faculty of Medicine University of Ottawa c Erinija Pranckeviciene, Ottawa, Canada, 2015 Abstract The rapidly advancing high-throughput and next generation sequencing technologies facilitate deeper insights into the molecular mechanisms underlying the expression of phenotypes in living organisms. Experimental data and scientific publications following this technological advance- ment have rapidly accumulated in public databases. Meaningful analysis of currently avail- able data in genomic databases requires sophisticated computational tools and algorithms, and presents considerable challenges to molecular biologists without specialized training in bioinfor- matics. To study their phenotype of interest molecular biologists must prioritize large lists of poorly characterized genes generated in high-throughput experiments. To date, prioritization tools have primarily been designed to work with phenotypes of human diseases as defined by the genes known to be associated with those diseases. There is therefore a need for more prioritiza- tion tools for phenotypes which are not related with diseases generally or diseases with which no genes have yet been associated in particular. Chromatin immunoprecipitation followed by next generation sequencing (ChIP-Seq) is a method of choice to study the gene regulation processes responsible for the expression of cellular phenotypes. Among publicly available computational pipelines for the processing of ChIP-Seq data, there is a lack of tools for the downstream analysis of composite motifs and preferred binding distances of the DNA binding proteins. -
2014-Platform-Abstracts.Pdf
American Society of Human Genetics 64th Annual Meeting October 18–22, 2014 San Diego, CA PLATFORM ABSTRACTS Abstract Abstract Numbers Numbers Saturday 41 Statistical Methods for Population 5:30pm–6:50pm: Session 2: Plenary Abstracts Based Studies Room 20A #198–#205 Featured Presentation I (4 abstracts) Hall B1 #1–#4 42 Genome Variation and its Impact on Autism and Brain Development Room 20BC #206–#213 Sunday 43 ELSI Issues in Genetics Room 20D #214–#221 1:30pm–3:30pm: Concurrent Platform Session A (12–21): 44 Prenatal, Perinatal, and Reproductive 12 Patterns and Determinants of Genetic Genetics Room 28 #222–#229 Variation: Recombination, Mutation, 45 Advances in Defining the Molecular and Selection Hall B1 Mechanisms of Mendelian Disorders Room 29 #230–#237 #5-#12 13 Genomic Studies of Autism Room 6AB #13–#20 46 Epigenomics of Normal Populations 14 Statistical Methods for Pedigree- and Disease States Room 30 #238–#245 Based Studies Room 6CF #21–#28 15 Prostate Cancer: Expression Tuesday Informing Risk Room 6DE #29–#36 8:00pm–8:25am: 16 Variant Calling: What Makes the 47 Plenary Abstracts Featured Difference? Room 20A #37–#44 Presentation III Hall BI #246 17 New Genes, Incidental Findings and 10:30am–12:30pm:Concurrent Platform Session D (49 – 58): Unexpected Observations Revealed 49 Detailing the Parts List Using by Exome Sequencing Room 20BC #45–#52 Genomic Studies Hall B1 #247–#254 18 Type 2 Diabetes Genetics Room 20D #53–#60 50 Statistical Methods for Multigene, 19 Genomic Methods in Clinical Practice Room 28 #61–#68 Gene Interaction -
Download Special Issue
BioMed Research International Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data Guest Editors: Julia Tzu-Ya Weng, Li-Ching Wu, Wen-Chi Chang, Tzu-Hao Chang, Tatsuya Akutsu, and Tzong-Yi Lee Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data BioMed Research International Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data Guest Editors: Julia Tzu-Ya Weng, Li-Ching Wu, Wen-Chi Chang, Tzu-Hao Chang, Tatsuya Akutsu, and Tzong-Yi Lee Copyright © 2014 Hindawi Publishing Corporation. All rights reserved. This is a special issue published in “BioMed Research International.” All articles are open access articles distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Contents Novel Bioinformatics Approaches for Analysis of High-Throughput Biological Data,JuliaTzu-YaWeng, Li-Ching Wu, Wen-Chi Chang, Tzu-Hao Chang, Tatsuya Akutsu, and Tzong-Yi Lee Volume2014,ArticleID814092,3pages Evolution of Network Biomarkers from Early to Late Stage Bladder Cancer Samples,Yung-HaoWong, Cheng-Wei Li, and Bor-Sen Chen Volume 2014, Article ID 159078, 23 pages MicroRNA Expression Profiling Altered by Variant Dosage of Radiation Exposure,Kuei-FangLee, Yi-Cheng Chen, Paul Wei-Che Hsu, Ingrid Y. Liu, and Lawrence Shih-Hsin Wu Volume2014,ArticleID456323,10pages EXIA2: Web Server of Accurate and Rapid Protein Catalytic Residue Prediction, Chih-Hao Lu, Chin-Sheng -
Stage-Specific Gene Expression Is a Fundamental Characteristic of Rat Spermatogenic Cells and Sertoli Cells
Stage-specific gene expression is a fundamental characteristic of rat spermatogenic cells and Sertoli cells Daniel S. Johnston*, William W. Wright†‡, Paul DiCandeloro*§, Ewa Wilson¶, Gregory S. Kopf*ʈ, and Scott A. Jelinsky¶ *Contraception, Women’s Health and Musculoskeletal Biology, Wyeth Research, 500 Arcola Road, Collegeville, PA 19426; †Division of Reproductive Biology, Department of Biochemistry and Molecular Biology, The Johns Hopkins Bloomberg School of Public Health, 615 North Wolfe Street, Baltimore, MD 21205- 2179; and ¶Biological Technologies, Biological Research, Wyeth Research, 87 Cambridge Park Drive, Cambridge, MA 02140 Edited by Ryuzo Yanagimachi, University of Hawaii, Honolulu, HI, and approved April 1, 2008 (received for review October 17, 2007) Mammalian spermatogenesis is a complex biological process that study detected 16,971 probe sets,** and analysis of their cell type occurs within a highly organized tissue, the seminiferous epithelium. and stage-regulated expression supported the conclusion that cyclic The coordinated maturation of spermatogonia, spermatocytes, and gene expression is a widespread and, therefore, fundamental charac- spermatids suggests the existence of precise programs of gene teristic of both spermatogenic and Sertoli cells. These data predicted expression in these cells and in their neighboring somatic Sertoli cells. that important biological pathways and processes are regulated as The objective of this study was to identify the genes that execute specific cell types progress through the stages of the cycle. these programs. Rat seminiferous tubules at stages I, II–III, IV–V, VI, VIIa,b, VIIc,d, VIII, IX–XI, XII, and XIII–XIV of the cycle were isolated by Results and Discussion microdissection, whereas Sertoli cells, spermatogonia plus early sper- Characterization of the Testicular Transcriptome.