Identification of the Zeo1 Protein As a Candidate Structural Homolog of Α-Synuclein In
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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. -
Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-Like Mouse Models: Tracking the Role of the Hairless Gene
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Doctoral Dissertations Graduate School 5-2006 Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene Yutao Liu University of Tennessee - Knoxville Follow this and additional works at: https://trace.tennessee.edu/utk_graddiss Part of the Life Sciences Commons Recommended Citation Liu, Yutao, "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino- like Mouse Models: Tracking the Role of the Hairless Gene. " PhD diss., University of Tennessee, 2006. https://trace.tennessee.edu/utk_graddiss/1824 This Dissertation is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Doctoral Dissertations by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a dissertation written by Yutao Liu entitled "Molecular and Physiological Basis for Hair Loss in Near Naked Hairless and Oak Ridge Rhino-like Mouse Models: Tracking the Role of the Hairless Gene." I have examined the final electronic copy of this dissertation for form and content and recommend that it be accepted in partial fulfillment of the requirements for the degree of Doctor of Philosophy, with a major in Life Sciences. Brynn H. Voy, Major Professor We have read this dissertation and recommend its acceptance: Naima Moustaid-Moussa, Yisong Wang, Rogert Hettich Accepted for the Council: Carolyn R. -
A Yeast Phenomic Model for the Gene Interaction Network Modulating
Louie et al. Genome Medicine 2012, 4:103 http://genomemedicine.com/content/4/12/103 RESEARCH Open Access A yeast phenomic model for the gene interaction network modulating CFTR-ΔF508 protein biogenesis Raymond J Louie3†, Jingyu Guo1,2†, John W Rodgers1, Rick White4, Najaf A Shah1, Silvere Pagant3, Peter Kim3, Michael Livstone5, Kara Dolinski5, Brett A McKinney6, Jeong Hong2, Eric J Sorscher2, Jennifer Bryan4, Elizabeth A Miller3* and John L Hartman IV1,2* Abstract Background: The overall influence of gene interaction in human disease is unknown. In cystic fibrosis (CF) a single allele of the cystic fibrosis transmembrane conductance regulator (CFTR-ΔF508) accounts for most of the disease. In cell models, CFTR-ΔF508 exhibits defective protein biogenesis and degradation rather than proper trafficking to the plasma membrane where CFTR normally functions. Numerous genes function in the biogenesis of CFTR and influence the fate of CFTR-ΔF508. However it is not known whether genetic variation in such genes contributes to disease severity in patients. Nor is there an easy way to study how numerous gene interactions involving CFTR-ΔF would manifest phenotypically. Methods: To gain insight into the function and evolutionary conservation of a gene interaction network that regulates biogenesis of a misfolded ABC transporter, we employed yeast genetics to develop a ‘phenomic’ model, in which the CFTR-ΔF508-equivalent residue of a yeast homolog is mutated (Yor1-ΔF670), and where the genome is scanned quantitatively for interaction. We first confirmed that Yor1-ΔF undergoes protein misfolding and has reduced half-life, analogous to CFTR-ΔF. Gene interaction was then assessed quantitatively by growth curves for approximately 5,000 double mutants, based on alteration in the dose response to growth inhibition by oligomycin, a toxin extruded from the cell at the plasma membrane by Yor1. -
Resveratrol Improves Glycemic Control in Insulin-Treated Diabetic Rats
Yonamine et al. Nutrition & Metabolism (2016) 13:44 DOI 10.1186/s12986-016-0103-0 RESEARCH Open Access Resveratrol improves glycemic control in insulin-treated diabetic rats: participation of the hepatic territory Caio Yogi Yonamine1†, Erika Pinheiro-Machado1†, Maria Luiza Michalani1, Helayne Soares Freitas1, Maristela Mitiko Okamoto1, Maria Lucia Corrêa-Giannella2 and Ubiratan Fabres Machado1* Abstract Background: Resveratrol is a natural polyphenol that has been proposed to improve glycemic control in diabetes, by mechanisms that involve improvement in insulin secretion and activity. In type 1 diabetes (T1D), in which insulin therapy is obligatory, resveratrol treatment has never been investigated. The present study aimed to evaluate resveratrol as an adjunctive agent to insulin therapy in a T1D-like experimental model. Methods: Rats were rendered diabetic by streptozotocin (STZ) treatment. Twenty days later, four groups of animals were studied: non-diabetic (ND); diabetic treated with placebo (DP); diabetic treated with insulin (DI) and diabetic treated with insulin plus resveratrol (DIR). After 30 days of treatment, 24-hour urine was collected; then, blood, soleus muscle, proximal small intestine, renal cortex and liver were sampled. Specific glucose transporter proteins were analyzed (Western blotting) in each territory of interest. Solute carrier family 2 member 2 (Slc2a2), phosphoenolpyruvate carboxykinase (Pck1) and glucose-6-phosphatase catalytic subunit (G6pc) mRNAs (qPCR), glycogen storage and sirtuin 1 (SIRT1) activity were analyzed in liver. Results: Diabetes induction increased blood glucose, plasma fructosamine concentrations, and glycosuria. Insulin therapy partially recovered the glycemic control; however, resveratrol as adjunctive therapy additionally improved glycemic control and restored plasma fructosamine concentration to values of non-diabetic rats. -
Epigenetic Mapping and Functional Analysis in a Breast Cancer
Available online http://breast-cancer-research.com/content/10/4/R62 ResearchVol 10 No 4 article Open Access Epigenetic mapping and functional analysis in a breast cancer metastasis model using whole-genome promoter tiling microarrays David I Rodenhiser1,2,3,4,5, Joseph Andrews1, Wendy Kennette1, Bekim Sadikovic1,2, Ariel Mendlowitz1,2, Alan B Tuck1,3,6 and Ann F Chambers1,3,6 1London Regional Cancer Program, Victoria Research Laboratories, London Health Sciences Centre, 790 Commissioners Road East, London, Ontario, N6A 4L6, Canada 2Department of Biochemistry, The Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, N6A 3K7, Canada 3Department of Oncology, The Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, N6A 3K7, Canada 4Department of Paediatrics, The Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, N6A 3K7, Canada 5EpiGenWestern Research Group at the Children's Health Research Institute, Victoria Research Laboratories, 800 Commissioners Road East, London, Ontario, N6C 2V5, Canada 6Department of Pathology, The Schulich School of Medicine and Dentistry, University of Western Ontario, London, Ontario, N6A 3K7, Canada Corresponding author: David I Rodenhiser, [email protected] Received: 17 Apr 2008 Revisions requested: 23 May 2008 Revisions received: 11 Jul 2008 Accepted: 18 Jul 2008 Published: 18 Jul 2008 Breast Cancer Research 2008, 10:R62 (doi:10.1186/bcr2121) This article is online at: http://breast-cancer-research.com/content/10/4/R62 © 2008 Rodenhiser et al.; licensee BioMed Central Ltd. This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. -
Mouse Mid2 Conditional Knockout Project (CRISPR/Cas9)
https://www.alphaknockout.com Mouse Mid2 Conditional Knockout Project (CRISPR/Cas9) Objective: To create a Mid2 conditional knockout Mouse model (C57BL/6J) by CRISPR/Cas-mediated genome engineering. Strategy summary: The Mid2 gene (NCBI Reference Sequence: NM_011845 ; Ensembl: ENSMUSG00000000266 ) is located on Mouse chromosome X. 9 exons are identified, with the ATG start codon in exon 1 and the TAA stop codon in exon 9 (Transcript: ENSMUST00000112993). Exon 5 will be selected as conditional knockout region (cKO region). Deletion of this region should result in the loss of function of the Mouse Mid2 gene. To engineer the targeting vector, homologous arms and cKO region will be generated by PCR using BAC clone RP23-340F6 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: Exon 5 starts from about 49.34% of the coding region. The knockout of Exon 5 will result in frameshift of the gene. The size of intron 4 for 5'-loxP site insertion: 11103 bp, and the size of intron 5 for 3'-loxP site insertion: 1122 bp. The size of effective cKO region: ~628 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 5 6 9 Targeting vector Targeted allele Constitutive KO allele (After Cre recombination) Legends Exon of mouse Mid2 Homology arm 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. -
The Loss of Photosynthetic Pathways in the Plastid and Nuclear Genomes of the Non- Photosynthetic Mycoheterotrophic Eudicot Monotropa Hypopitys Nikolai V
The Author(s) BMC Plant Biology 2016, 16(Suppl 3):238 DOI 10.1186/s12870-016-0929-7 RESEARCH Open Access The loss of photosynthetic pathways in the plastid and nuclear genomes of the non- photosynthetic mycoheterotrophic eudicot Monotropa hypopitys Nikolai V. Ravin*, Eugeny V. Gruzdev, Alexey V. Beletsky, Alexander M. Mazur, Egor B. Prokhortchouk, Mikhail A. Filyushin, Elena Z. Kochieva, Vitaly V. Kadnikov, Andrey V. Mardanov and Konstantin G. Skryabin From The International Conference on Bioinformatics of Genome Regulation and Structure\Systems Biology (BGRS\SB-2016) Novosibirsk, Russia. 29 August-2 September 2016 Abstract Background: Chloroplasts of most plants are responsible for photosynthesis and contain a conserved set of about 110 genes that encode components of housekeeping gene expression machinery and photosynthesis-related functions. Heterotrophic plants obtaining nutrients from other organisms and their plastid genomes represent model systems in which to study the effects of relaxed selective pressure on photosynthetic function. The most evident is a reduction in the size and gene content of the plastome, which correlates with the loss of genes encoding photosynthetic machinery which become unnecessary. Transition to a non-photosynthetic lifestyle is expected also to relax the selective pressure on photosynthetic machinery in the nuclear genome, however, the corresponding changes are less known. Results: Here we report the complete sequence of the plastid genome of Monotropa hypopitys, an achlorophyllous obligately mycoheterotrophic plant belonging to the family Ericaceae. The plastome of M. hypopitys is greatly reduced in size (35,336 bp) and lacks the typical quadripartite structure with two single-copy regions and an inverted repeat. -
Protein Interactions in the Cancer Proteome† Cite This: Mol
Molecular BioSystems View Article Online PAPER View Journal | View Issue Small-molecule binding sites to explore protein– protein interactions in the cancer proteome† Cite this: Mol. BioSyst., 2016, 12,3067 David Xu,ab Shadia I. Jalal,c George W. Sledge Jr.d and Samy O. Meroueh*aef The Cancer Genome Atlas (TCGA) offers an unprecedented opportunity to identify small-molecule binding sites on proteins with overexpressed mRNA levels that correlate with poor survival. Here, we analyze RNA-seq and clinical data for 10 tumor types to identify genes that are both overexpressed and correlate with patient survival. Protein products of these genes were scanned for binding sites that possess shape and physicochemical properties that can accommodate small-molecule probes or therapeutic agents (druggable). These binding sites were classified as enzyme active sites (ENZ), protein–protein interaction sites (PPI), or other sites whose function is unknown (OTH). Interestingly, the overwhelming majority of binding sites were classified as OTH. We find that ENZ, PPI, and OTH binding sites often occurred on the same structure suggesting that many of these OTH cavities can be used for allosteric modulation of Creative Commons Attribution 3.0 Unported Licence. enzyme activity or protein–protein interactions with small molecules. We discovered several ENZ (PYCR1, QPRT,andHSPA6)andPPI(CASC5, ZBTB32,andCSAD) binding sites on proteins that have been seldom explored in cancer. We also found proteins that have been extensively studied in cancer that have not been previously explored with small molecules that harbor ENZ (PKMYT1, STEAP3,andNNMT) and PPI (HNF4A, MEF2B,andCBX2) binding sites. All binding sites were classified by the signaling pathways to Received 29th March 2016, which the protein that harbors them belongs using KEGG. -
Variation in Protein Coding Genes Identifies Information
bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. 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. Animal complexity and information flow 1 1 2 3 4 5 Variation in protein coding genes identifies information flow as a contributor to 6 animal complexity 7 8 Jack Dean, Daniela Lopes Cardoso and Colin Sharpe* 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 Institute of Biological and Biomedical Sciences 25 School of Biological Science 26 University of Portsmouth, 27 Portsmouth, UK 28 PO16 7YH 29 30 * Author for correspondence 31 [email protected] 32 33 Orcid numbers: 34 DLC: 0000-0003-2683-1745 35 CS: 0000-0002-5022-0840 36 37 38 39 40 41 42 43 44 45 46 47 48 49 Abstract bioRxiv preprint doi: https://doi.org/10.1101/679456; this version posted June 21, 2019. 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. Animal complexity and information flow 2 1 Across the metazoans there is a trend towards greater organismal complexity. How 2 complexity is generated, however, is uncertain. Since C.elegans and humans have 3 approximately the same number of genes, the explanation will depend on how genes are 4 used, rather than their absolute number. -
Comparative Analysis of Human Chromosome 7Q21 and Mouse
Downloaded from genome.cshlp.org on October 2, 2021 - Published by Cold Spring Harbor Laboratory Press Letter Comparative analysis of human chromosome 7q21 and mouse proximal chromosome 6 reveals a placental-specific imprinted gene, TFPI2/Tfpi2, which requires EHMT2 and EED for allelic-silencing David Monk,1,6 Alexandre Wagschal,2 Philippe Arnaud,2 Pari-Sima Mu¨ller,3 Layla Parker-Katiraee,4 Déborah Bourc’his,5 Stephen W. Scherer,4 Robert Feil,2 Philip Stanier,1 and Gudrun E. Moore1 1Institute of Child Health, London WC1N 1EH, United Kingdom; 2Institute of Molecular Genetics, CNRS UMR-5535 and University of Montpellier-II, 34293 Montpellier, France; 3Sir William Dunn School of Pathology, University of Oxford, Oxford OX1 3RE, United Kingdom; 4Center for Applied Genomics, The Hospital for Sick Children, Toronto M5G 1L7, Canada; 5Inserm U741, F-75251 Paris Cedex 05, France Genomic imprinting is a developmentally important mechanism that involves both differential DNA methylation and allelic histone modifications. Through detailed comparative characterization, a large imprinted domain mapping to chromosome 7q21 in humans and proximal chromosome 6 in mice was redefined. This domain is organized around a maternally methylated CpG island comprising the promoters of the adjacent PEG10 and SGCE imprinted genes. Examination of Dnmt3l−/+ conceptuses shows that imprinted expression for all genes of the cluster depends upon the germline methylation at this putative “imprinting control region” (ICR). Similarly as for other ICRs, we find its DNA-methylated allele to be associated with trimethylation of lysine 9 on histone H3 (H3K9me3) and trimethylation of lysine 20 on histone H4 (H4K20me3), whereas the transcriptionally active paternal allele is enriched in H3K4me2 and H3K9 acetylation. -
Role of PCK1 Gene on Oil Tea-Induced Glucose Homeostasis and Type 2
Hu et al. Nutrition & Metabolism (2019) 16:12 https://doi.org/10.1186/s12986-019-0337-8 RESEARCH Open Access Role of PCK1 gene on oil tea-induced glucose homeostasis and type 2 diabetes: an animal experiment and a case-control study Qiantu Hu1†, Huafeng Chen2†, Yanli Zuo3†, Qin He2, Xuan He2, Steve Simpson Jr4,5, Wei Huang2, Hui Yang2, Haiying Zhang1,6* and Rui Lin1,2,6* Abstract Background: Oil tea is a type of traditional tea beverage used for treating various ailments in minority population in Guangxi, China. Our previous study showed oil tea improved glucose and lipid levels in type 2 diabetic mice. Yet, the underling molecular mechanisms are still not understood. This study aimed at assessing the effect of oil tea on glucose homeostasis and elucidating the molecular mechanisms underlying the oil tea-induced antidiabetic effects. Methods: Twenty seven db/db mice were gavaged with saline, metformin and oil tea for 8 weeks with measurement of biochemical profiles. A real-time2 (RT2) profiler polymerase chain reaction (PCR) array comprising 84 genes involved in glucose metabolism was measured and validated by quantitative PCR (qPCR). The association between the candidate genes and type 2 diabetes were further analyzed in a case-control study in the Chinese minority population. Results: Oil tea treatment facilitated glucose homeostasis by decreasing fasting blood glucose and total cholesterol, and improving glucose tolerance. Suppressing phosphoenolpyruvate carboxykinase 1 (PCK1) expression was observed in the oil tea treatment group and the expression was significantly correlated with fasting blood glucose levels. Target prediction and functional annotation by WEB-based GEne SeT AnaLysis Toolkit (WebGestalt) revealed that PCK1 mainly involved in the glycolysis/gluconeogenesis pathway among the top Kyoto Encyclopedia of Genes and Genomes (KEGG) database pathways. -
B-Cell Translocation Gene 2 Regulates Hepatic Glucose Homeostasis Via Induction of Orphan Nuclear Receptor Nur77 in Diabetic Mouse Model
1870 Diabetes Volume 63, June 2014 Yong Deuk Kim,1 Sun-Gyun Kim,2 Seung-Lark Hwang,3 Hueng-Sik Choi,4 Jae-Hoon Bae,1 Dae-Kyu Song,1 and Seung-Soon Im1 B-Cell Translocation Gene 2 Regulates Hepatic Glucose Homeostasis via Induction of Orphan Nuclear Receptor Nur77 in Diabetic Mouse Model Diabetes 2014;63:1870–1880 | DOI: 10.2337/db13-1368 B-cell translocation gene 2 (BTG2) is a member of an might serve as a potential therapeutic target for com- emerging gene family that is involved in cellular func- bating metabolic dysfunction. tions. In this study, we demonstrate that BTG2 regu- lates glucose homeostasis via upregulation of Nur77 in diabetic mice. Hepatic BTG2 gene expression was The liver plays a crucial role in glucose homeostasis by elevated by fasting and forskolin. Overexpression of maintaining a balance between uptake and storage of Btg2 increased the expression of hepatic gluconeogenic glucose via glycogenesis and in the release of glucose by genes and blood glucose output and subsequently im- both glycogenolysis and gluconeogenesis (1,2). Gluconeo- paired glucose and insulin tolerance. Upregulation METABOLISM genesis is commonly triggered by key hormones including of the transcriptional activity of Nur77, gluconeogenic insulin, glucagon, and glucocorticoid, which contribute to genes, and glucose production by forskolin was ob- the expression of key metabolic enzymes, such as phospho- served by Btg2 transduction, but not in Btg2 knockdown. enolpyruvate carboxykinase (Pck1), fructose biphosphatase BTG2-stimulated glucose production and glucose-6- (Fbp) 1, and glucose-6-phosphatase (G6pc) (3). A variety phosphatase promoter activity were attenuated by of transcriptional factors and cofactors regulated by dominant-negative Nur77.