Variants in PAX6, PITX3 and HSF4 Causing Autosomal Dominant Congenital Cataracts ✉ ✉ Vanita Berry 1,2 , Alex Ionides2, Nikolas Pontikos 1,2, Anthony T
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Isyte: Integrated Systems Tool for Eye Gene Discovery
Lens iSyTE: Integrated Systems Tool for Eye Gene Discovery Salil A. Lachke,1,2,3,4 Joshua W. K. Ho,1,4,5 Gregory V. Kryukov,1,4,6 Daniel J. O’Connell,1 Anton Aboukhalil,1,7 Martha L. Bulyk,1,8,9 Peter J. Park,1,5,10 and Richard L. Maas1 PURPOSE. To facilitate the identification of genes associated ther investigation. Extension of this approach to other ocular with cataract and other ocular defects, the authors developed tissue components will facilitate eye disease gene discovery. and validated a computational tool termed iSyTE (integrated (Invest Ophthalmol Vis Sci. 2012;53:1617–1627) DOI: Systems Tool for Eye gene discovery; http://bioinformatics. 10.1167/iovs.11-8839 udel.edu/Research/iSyTE). iSyTE uses a mouse embryonic lens gene expression data set as a bioinformatics filter to select candidate genes from human or mouse genomic regions impli- ven with the advent of high-throughput sequencing, the cated in disease and to prioritize them for further mutational Ediscovery of genes associated with congenital birth defects and functional analyses. such as eye defects remains a challenge. We sought to develop METHODS. Microarray gene expression profiles were obtained a straightforward experimental approach that could facilitate for microdissected embryonic mouse lens at three key devel- the identification of candidate genes for developmental disor- opmental time points in the transition from the embryonic day ders, and, as proof-of-principle, we chose defects involving the (E)10.5 stage of lens placode invagination to E12.5 lens primary ocular lens. Opacification of the lens results in cataract, a leading cause of blindness that affects 77 million persons and fiber cell differentiation. -
A New Mutation in BFSP2 (G1091A) Causes Autosomal Dominant Congenital Lamellar Cataracts
Molecular Vision 2008; 14:1906-1911 <http://www.molvis.org/molvis/v14/a226> © 2008 Molecular Vision Received 17 August 2008 | Accepted 18 October 2008 | Published 24 October 2008 A new mutation in BFSP2 (G1091A) causes autosomal dominant congenital lamellar cataracts Xu Ma,1,2,3 Fei-Feng Li,1,2 Shu-Zhen Wang,4 Chang Gao,1,2 Meng Zhang,2 Si-Quan Zhu4 (The first three authors contributed equally to this work.) 1Graduate School, Peking Union Medical College, Beijing, China; 2Department of Genetics, National Research Institute for Family Planning, Beijing, China; 3WHO Collaborative Center for Research in Human Reproduction, Beijing, China; 4Beijing Tongren Eye Center, Capital Medical University, Beijing, China Purpose: We sought to identify the genetic defect in a four-generation Chinese family with autosomal dominant congenital lamellar cataracts and demonstrate the functional analysis with biosoftware of a candidate gene in the family. Methods: Family history data were recorded. Clinical and ophthalmologic examinations were performed on family members. All the members were genotyped with microsatellite markers at loci considered to be associated with cataracts. Two-point LOD scores were calculated by using the Linkage Software after genotyping. A mutation was detected by using gene-specific primers in direct sequencing. Wild type and mutant proteins were analyzed with Online Bio-Software. Results: Affected members of this family had lamellar cataracts. Linkage analysis was obtained at markers D3S2322 (LOD score [Z]=7.22, recombination fraction [θ]=0.0) and D3S1541 (Z=5.42, θ=0.0). Haplotype analysis indicated that the cataract gene was closely linked to these two markers. -
Bioinformatic Analysis of Structure and Function of LIM Domains of Human Zyxin Family Proteins
International Journal of Molecular Sciences Article Bioinformatic Analysis of Structure and Function of LIM Domains of Human Zyxin Family Proteins M. Quadir Siddiqui 1,† , Maulik D. Badmalia 1,† and Trushar R. Patel 1,2,3,* 1 Alberta RNA Research and Training Institute, Department of Chemistry and Biochemistry, University of Lethbridge, 4401 University Drive, Lethbridge, AB T1K 3M4, Canada; [email protected] (M.Q.S.); [email protected] (M.D.B.) 2 Department of Microbiology, Immunology and Infectious Disease, Cumming School of Medicine, University of Calgary, 3330 Hospital Drive, Calgary, AB T2N 4N1, Canada 3 Li Ka Shing Institute of Virology, University of Alberta, Edmonton, AB T6G 2E1, Canada * Correspondence: [email protected] † These authors contributed equally to the work. Abstract: Members of the human Zyxin family are LIM domain-containing proteins that perform critical cellular functions and are indispensable for cellular integrity. Despite their importance, not much is known about their structure, functions, interactions and dynamics. To provide insights into these, we used a set of in-silico tools and databases and analyzed their amino acid sequence, phylogeny, post-translational modifications, structure-dynamics, molecular interactions, and func- tions. Our analysis revealed that zyxin members are ohnologs. Presence of a conserved nuclear export signal composed of LxxLxL/LxxxLxL consensus sequence, as well as a possible nuclear localization signal, suggesting that Zyxin family members may have nuclear and cytoplasmic roles. The molecular modeling and structural analysis indicated that Zyxin family LIM domains share Citation: Siddiqui, M.Q.; Badmalia, similarities with transcriptional regulators and have positively charged electrostatic patches, which M.D.; Patel, T.R. -
Relative Impact of Multi-Layered Genomic Data on Gene Expression
Sohn et al. BMC Systems Biology 2013, 7(Suppl 6):S9 http://www.biomedcentral.com/1752-0509/7/S6/S9 RESEARCH Open Access Relative impact of multi-layered genomic data on gene expression phenotypes in serous ovarian tumors Kyung-Ah Sohn1†, Dokyoon Kim2,3†, Jaehyun Lim2,4, Ju Han Kim2,4* From 24th International Conference on Genome Informatics (GIW 2013) Singapore, Singapore. 16-18 December 2013 Abstract Background: The emerging multi-layers of genomic data have provided unprecedented opportunities for cancer research, especially for the association study between gene expressions and other types of genomic features. No previous approaches, however, provide an adequate statistical framework for or global analysis on the relative impact of different genomic feature layers to gene expression phenotypes. Methods: We propose an integrative statistical framework based on a sparse regression to model the impact of multi-layered genomic features on gene expression traits. The proposed approach can be regarded as an integrative expression Quantitative Traits Loci approach in which not only the genetic variations of SNPs or copy number variations but also other features in both genomic and epigenomic levels are used to explain the expression of genes. To highlight the validity of the proposed approach, the TCGA ovarian cancer dataset was analysed as a pilot task. Results: The analysis shows that our integrative approach has consistently superior power in predicting gene expression levels compared to that from each single data type-based analysis. Moreover, the proposed method has the advantage of producing a substantially reduced number of spurious associations. We provide an interesting characterization of genes in terms of its genomic association patterns. -
Supplementary Table 1: Adhesion Genes Data Set
Supplementary Table 1: Adhesion genes data set PROBE Entrez Gene ID Celera Gene ID Gene_Symbol Gene_Name 160832 1 hCG201364.3 A1BG alpha-1-B glycoprotein 223658 1 hCG201364.3 A1BG alpha-1-B glycoprotein 212988 102 hCG40040.3 ADAM10 ADAM metallopeptidase domain 10 133411 4185 hCG28232.2 ADAM11 ADAM metallopeptidase domain 11 110695 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 195222 8038 hCG40937.4 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 165344 8751 hCG20021.3 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 189065 6868 null ADAM17 ADAM metallopeptidase domain 17 (tumor necrosis factor, alpha, converting enzyme) 108119 8728 hCG15398.4 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 117763 8748 hCG20675.3 ADAM20 ADAM metallopeptidase domain 20 126448 8747 hCG1785634.2 ADAM21 ADAM metallopeptidase domain 21 208981 8747 hCG1785634.2|hCG2042897 ADAM21 ADAM metallopeptidase domain 21 180903 53616 hCG17212.4 ADAM22 ADAM metallopeptidase domain 22 177272 8745 hCG1811623.1 ADAM23 ADAM metallopeptidase domain 23 102384 10863 hCG1818505.1 ADAM28 ADAM metallopeptidase domain 28 119968 11086 hCG1786734.2 ADAM29 ADAM metallopeptidase domain 29 205542 11085 hCG1997196.1 ADAM30 ADAM metallopeptidase domain 30 148417 80332 hCG39255.4 ADAM33 ADAM metallopeptidase domain 33 140492 8756 hCG1789002.2 ADAM7 ADAM metallopeptidase domain 7 122603 101 hCG1816947.1 ADAM8 ADAM metallopeptidase domain 8 183965 8754 hCG1996391 ADAM9 ADAM metallopeptidase domain 9 (meltrin gamma) 129974 27299 hCG15447.3 ADAMDEC1 ADAM-like, -
RNA Sequencing and Bioinformatics Analysis of Human Lens Epithelial
Wang et al. BMC Ophthalmology (2021) 21:152 https://doi.org/10.1186/s12886-021-01915-5 RESEARCH ARTICLE Open Access RNA sequencing and bioinformatics analysis of human lens epithelial cells in age-related cataract Zhongying Wang1†, Dongmei Su2†, Shanhe Liu1, Guiqian Zheng1, Gaobo Zhang1, Tingsong Cui1,XuMa2*, Zhaoyi Sun1* and Shanshan Hu1* Abstract Background: Age-related cataract (ARC) is the main cause of blindness in older individuals but its specific pathogenic mechanism is unclear. This study aimed to identify differentially expressed genes (DEGs) associated with ARC and to improve our understanding of the disease mechanism. Methods: Anterior capsule samples of the human lens were collected from ARC patients and healthy controls and used for RNA sequencing to detect DEGs. Identified DEGs underwent bioinformatics analyses, including Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Subsequently, reverse transcription quantitative RT-qPCR was used to validate the different expression levels of selected genes. Results: A total of 698 up-regulated DEGs and 414 down-regulated DEGs were identified in ARC patients compared with controls by transcriptome analysis. Through GO and KEGG bioinformatics analysis, the functions of significantly DEGs and their possible molecular mechanisms were determined. Sequencing results were verified by RT-qPCR as being accurate and reliable. Conclusions: This study identified several genes associated with ARC, which improves our knowledge of the disease mechanism. Keywords: Age-related cataract, Differentially expressed genes, Bioinformatics analysis, Pathogenic genes Background alternative effective methods are necessary to prevent and Age-related cataract (ARC) is a common visual disorder treat the occurrence and development of ARC. -
Subterranean Mammals Show Convergent Regression in Ocular Genes and Enhancers, Along with Adaptation to Tunneling
RESEARCH ARTICLE Subterranean mammals show convergent regression in ocular genes and enhancers, along with adaptation to tunneling Raghavendran Partha1, Bharesh K Chauhan2,3, Zelia Ferreira1, Joseph D Robinson4, Kira Lathrop2,3, Ken K Nischal2,3, Maria Chikina1*, Nathan L Clark1* 1Department of Computational and Systems Biology, University of Pittsburgh, Pittsburgh, United States; 2UPMC Eye Center, Children’s Hospital of Pittsburgh, Pittsburgh, United States; 3Department of Ophthalmology, University of Pittsburgh School of Medicine, Pittsburgh, United States; 4Department of Molecular and Cell Biology, University of California, Berkeley, United States Abstract The underground environment imposes unique demands on life that have led subterranean species to evolve specialized traits, many of which evolved convergently. We studied convergence in evolutionary rate in subterranean mammals in order to associate phenotypic evolution with specific genetic regions. We identified a strong excess of vision- and skin-related genes that changed at accelerated rates in the subterranean environment due to relaxed constraint and adaptive evolution. We also demonstrate that ocular-specific transcriptional enhancers were convergently accelerated, whereas enhancers active outside the eye were not. Furthermore, several uncharacterized genes and regulatory sequences demonstrated convergence and thus constitute novel candidate sequences for congenital ocular disorders. The strong evidence of convergence in these species indicates that evolution in this environment is recurrent and predictable and can be used to gain insights into phenotype–genotype relationships. DOI: https://doi.org/10.7554/eLife.25884.001 *For correspondence: [email protected] (MC); [email protected] (NLC) Competing interests: The Introduction authors declare that no The subterranean habitat has been colonized by numerous animal species for its shelter and unique competing interests exist. -
Mouse Lim2 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Lim2 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Lim2 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Lim2 gene (NCBI Reference Sequence: NM_177693 ; Ensembl: ENSMUSG00000093639 ) is located on Mouse chromosome 7. 5 exons are identified, with the ATG start codon in exon 2 and the TGA stop codon in exon 5 (Transcript: ENSMUST00000004732). Exon 2 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Lim2 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP24-77K23 as template. Cas9, gRNA and targeting vector will be co-injected into fertilized eggs for cKO Mouse production. The pups will be genotyped by PCR followed by sequencing analysis. Note: Homozygous mutants exhibit microphthalmia, total lens opacity, disorganized lens fibers, posterior rupturing of lens capsule, and some have vacuolated lens. Heterozygotes exhibit the same dense cataract, but without microphthalmia or lens rupture. Exon 2 starts from about 0.39% of the coding region. The knockout of Exon 2 will result in frameshift of the gene. The size of intron 1 for 5'-loxP site insertion: 428 bp, and the size of intron 2 for 3'-loxP site insertion: 2802 bp. The size of effective cKO region: ~639 bp. The cKO region does not have any other known gene. Page 1 of 7 https://www.alphaknockout.com Overview of the Targeting Strategy Wildtype allele gRNA region 5' gRNA region 3' 1 2 5 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Homology arm Exon of mouse Lim2 cKO region loxP site Page 2 of 7 https://www.alphaknockout.com Overview of the Dot Plot Window size: 10 bp Forward Reverse Complement Sequence 12 Note: The sequence of homologous arms and cKO region is aligned with itself to determine if there are tandem repeats. -
Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights Froma Highly Derived Visual Phenotype Rui Borges Universidade Do Porto - Portugal
Nova Southeastern University NSUWorks Biology Faculty Articles Department of Biological Sciences 8-22-2019 Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights froma Highly Derived Visual Phenotype Rui Borges Universidade do Porto - Portugal Joao Fonseca Universidade do Porto - Portugal Cidalia Gomes Universidade do Porto - Portugal Warren E. Johnson Smithsonian Institution Stephen James O'Brien St. Petersburg State University - Russia; Nova Southeastern University, [email protected] See next page for additional authors Follow this and additional works at: https://nsuworks.nova.edu/cnso_bio_facarticles Part of the Biology Commons NSUWorks Citation Borges, Rui; Joao Fonseca; Cidalia Gomes; Warren E. Johnson; Stephen James O'Brien; Guojie Zhang; M. Thomas P. Gilbert; Erich D. Jarvis; and Agostinho Antunes. 2019. "Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights froma Highly Derived Visual Phenotype." Genome Biology and Evolution 11, (8): 2244-2255. doi:10.1093/gbe/evz111. This Article is brought to you for free and open access by the Department of Biological Sciences at NSUWorks. It has been accepted for inclusion in Biology Faculty Articles by an authorized administrator of NSUWorks. For more information, please contact [email protected]. Authors Rui Borges, Joao Fonseca, Cidalia Gomes, Warren E. Johnson, Stephen James O'Brien, Guojie Zhang, M. Thomas P. Gilbert, Erich D. Jarvis, and Agostinho Antunes This article is available at NSUWorks: https://nsuworks.nova.edu/cnso_bio_facarticles/982 GBE Avian Binocularity and Adaptation to Nocturnal Environments: Genomic Insights from a Highly Derived Visual Downloaded from https://academic.oup.com/gbe/article-abstract/11/8/2244/5544263 by Nova Southeastern University/HPD Library user on 16 September 2019 Phenotype Rui Borges1,2,Joao~ Fonseca1,Cidalia Gomes1, Warren E. -
The Human Genome Project
TO KNOW OURSELVES ❖ THE U.S. DEPARTMENT OF ENERGY AND THE HUMAN GENOME PROJECT JULY 1996 TO KNOW OURSELVES ❖ THE U.S. DEPARTMENT OF ENERGY AND THE HUMAN GENOME PROJECT JULY 1996 Contents FOREWORD . 2 THE GENOME PROJECT—WHY THE DOE? . 4 A bold but logical step INTRODUCING THE HUMAN GENOME . 6 The recipe for life Some definitions . 6 A plan of action . 8 EXPLORING THE GENOMIC LANDSCAPE . 10 Mapping the terrain Two giant steps: Chromosomes 16 and 19 . 12 Getting down to details: Sequencing the genome . 16 Shotguns and transposons . 20 How good is good enough? . 26 Sidebar: Tools of the Trade . 17 Sidebar: The Mighty Mouse . 24 BEYOND BIOLOGY . 27 Instrumentation and informatics Smaller is better—And other developments . 27 Dealing with the data . 30 ETHICAL, LEGAL, AND SOCIAL IMPLICATIONS . 32 An essential dimension of genome research Foreword T THE END OF THE ROAD in Little has been rapid, and it is now generally agreed Cottonwood Canyon, near Salt that this international project will produce Lake City, Alta is a place of the complete sequence of the human genome near-mythic renown among by the year 2005. A skiers. In time it may well And what is more important, the value assume similar status among molecular of the project also appears beyond doubt. geneticists. In December 1984, a conference Genome research is revolutionizing biology there, co-sponsored by the U.S. Department and biotechnology, and providing a vital of Energy, pondered a single question: Does thrust to the increasingly broad scope of the modern DNA research offer a way of detect- biological sciences. -
35Th International Society for Animal Genetics Conference 7
35th INTERNATIONAL SOCIETY FOR ANIMAL GENETICS CONFERENCE 7. 23.16 – 7.27. 2016 Salt Lake City, Utah ABSTRACT BOOK https://www.asas.org/meetings/isag2016 INVITED SPEAKERS S0100 – S0124 https://www.asas.org/meetings/isag2016 epigenetic modifications, such as DNA methylation, and measuring different proteins and cellular metab- INVITED SPEAKERS: FUNCTIONAL olites. These advancements provide unprecedented ANNOTATION OF ANIMAL opportunities to uncover the genetic architecture GENOMES (FAANG) ASAS-ISAG underlying phenotypic variation. In this context, the JOINT SYMPOSIUM main challenge is to decipher the flow of biological information that lies between the genotypes and phe- notypes under study. In other words, the new challenge S0100 Important lessons from complex genomes. is to integrate multiple sources of molecular infor- T. R. Gingeras* (Cold Spring Harbor Laboratory, mation (i.e., multiple layers of omics data to reveal Functional Genomics, Cold Spring Harbor, NY) the causal biological networks that underlie complex traits). It is important to note that knowledge regarding The ~3 billion base pairs of the human DNA rep- causal relationships among genes and phenotypes can resent a storage devise encoding information for be used to predict the behavior of complex systems, as hundreds of thousands of processes that can go on well as optimize management practices and selection within and outside a human cell. This information is strategies. Here, we describe a multi-step procedure revealed in the RNAs that are composed of 12 billion for inferring causal gene-phenotype networks underly- nucleotides, considering the strandedness and allelic ing complex phenotypes integrating multi-omics data. content of each of the diploid copies of the genome. -
Duke University Dissertation Template
Gene-Environment Interactions in Cardiovascular Disease by Cavin Keith Ward-Caviness Graduate Program in Computational Biology and Bioinformatics Duke University Date:_______________________ Approved: ___________________________ Elizabeth R. Hauser, Supervisor ___________________________ William E. Kraus ___________________________ Sayan Mukherjee ___________________________ H. Frederik Nijhout Dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate Program in Computational Biology and Bioinformatics in the Graduate School of Duke University 2014 i v ABSTRACT Gene-Environment Interactions in Cardiovascular Disease by Cavin Keith Ward-Caviness Graduate Program in Computational Biology and Bioinformatics Duke University Date:_______________________ Approved: ___________________________ Elizabeth R. Hauser, Supervisor ___________________________ William E. Kraus ___________________________ Sayan Mukherjee ___________________________ H. Frederik Nijhout An abstract of a dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the Graduate Program in Computational Biology and Bioinformatics in the Graduate School of Duke University 2014 Copyright by Cavin Keith Ward-Caviness 2014 Abstract In this manuscript I seek to demonstrate the importance of gene-environment interactions in cardiovascular disease. This manuscript contains five studies each of which contributes to our understanding of the joint impact of genetic variation