Oligonucleotide Microarray Analysis of Chromosome-X Gene Expression in Ruman Epithelial Ovarian Cancer Cell Lines
Total Page:16
File Type:pdf, Size:1020Kb

Load more
Recommended publications
-
Exceptional Conservation of Horse–Human Gene Order on X Chromosome Revealed by High-Resolution Radiation Hybrid Mapping
Exceptional conservation of horse–human gene order on X chromosome revealed by high-resolution radiation hybrid mapping Terje Raudsepp*†, Eun-Joon Lee*†, Srinivas R. Kata‡, Candice Brinkmeyer*, James R. Mickelson§, Loren C. Skow*, James E. Womack‡, and Bhanu P. Chowdhary*¶ʈ *Department of Veterinary Anatomy and Public Health, ‡Department of Veterinary Pathobiology, College of Veterinary Medicine, and ¶Department of Animal Science, College of Agriculture and Life Science, Texas A&M University, College Station, TX 77843; and §Department of Veterinary Pathobiology, University of Minnesota, 295f AS͞VM, St. Paul, MN 55108 Contributed by James E. Womack, December 30, 2003 Development of a dense map of the horse genome is key to efforts ciated with the traits, once they are mapped by genetic linkage aimed at identifying genes controlling health, reproduction, and analyses with highly polymorphic markers. performance. We herein report a high-resolution gene map of the The X chromosome is the most conserved mammalian chro- horse (Equus caballus) X chromosome (ECAX) generated by devel- mosome (18, 19). Extensive comparisons of structure, organi- oping and typing 116 gene-specific and 12 short tandem repeat zation, and gene content of this chromosome in evolutionarily -markers on the 5,000-rad horse ؋ hamster whole-genome radia- diverse mammals have revealed a remarkable degree of conser tion hybrid panel and mapping 29 gene loci by fluorescence in situ vation (20–22). Until now, the chromosome has been best hybridization. The human X chromosome sequence was used as a studied in humans and mice, where the focus of research has template to select genes at 1-Mb intervals to develop equine been the intriguing patterns of X inactivation and the involve- orthologs. -
Supplemental Table S1
Entrez Gene Symbol Gene Name Affymetrix EST Glomchip SAGE Stanford Literature HPA confirmed Gene ID Profiling profiling Profiling Profiling array profiling confirmed 1 2 A2M alpha-2-macroglobulin 0 0 0 1 0 2 10347 ABCA7 ATP-binding cassette, sub-family A (ABC1), member 7 1 0 0 0 0 3 10350 ABCA9 ATP-binding cassette, sub-family A (ABC1), member 9 1 0 0 0 0 4 10057 ABCC5 ATP-binding cassette, sub-family C (CFTR/MRP), member 5 1 0 0 0 0 5 10060 ABCC9 ATP-binding cassette, sub-family C (CFTR/MRP), member 9 1 0 0 0 0 6 79575 ABHD8 abhydrolase domain containing 8 1 0 0 0 0 7 51225 ABI3 ABI gene family, member 3 1 0 1 0 0 8 29 ABR active BCR-related gene 1 0 0 0 0 9 25841 ABTB2 ankyrin repeat and BTB (POZ) domain containing 2 1 0 1 0 0 10 30 ACAA1 acetyl-Coenzyme A acyltransferase 1 (peroxisomal 3-oxoacyl-Coenzyme A thiol 0 1 0 0 0 11 43 ACHE acetylcholinesterase (Yt blood group) 1 0 0 0 0 12 58 ACTA1 actin, alpha 1, skeletal muscle 0 1 0 0 0 13 60 ACTB actin, beta 01000 1 14 71 ACTG1 actin, gamma 1 0 1 0 0 0 15 81 ACTN4 actinin, alpha 4 0 0 1 1 1 10700177 16 10096 ACTR3 ARP3 actin-related protein 3 homolog (yeast) 0 1 0 0 0 17 94 ACVRL1 activin A receptor type II-like 1 1 0 1 0 0 18 8038 ADAM12 ADAM metallopeptidase domain 12 (meltrin alpha) 1 0 0 0 0 19 8751 ADAM15 ADAM metallopeptidase domain 15 (metargidin) 1 0 0 0 0 20 8728 ADAM19 ADAM metallopeptidase domain 19 (meltrin beta) 1 0 0 0 0 21 81792 ADAMTS12 ADAM metallopeptidase with thrombospondin type 1 motif, 12 1 0 0 0 0 22 9507 ADAMTS4 ADAM metallopeptidase with thrombospondin type 1 -
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. -
Downloaded from [266]
Patterns of DNA methylation on the human X chromosome and use in analyzing X-chromosome inactivation by Allison Marie Cotton B.Sc., The University of Guelph, 2005 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in The Faculty of Graduate Studies (Medical Genetics) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) January 2012 © Allison Marie Cotton, 2012 Abstract The process of X-chromosome inactivation achieves dosage compensation between mammalian males and females. In females one X chromosome is transcriptionally silenced through a variety of epigenetic modifications including DNA methylation. Most X-linked genes are subject to X-chromosome inactivation and only expressed from the active X chromosome. On the inactive X chromosome, the CpG island promoters of genes subject to X-chromosome inactivation are methylated in their promoter regions, while genes which escape from X- chromosome inactivation have unmethylated CpG island promoters on both the active and inactive X chromosomes. The first objective of this thesis was to determine if the DNA methylation of CpG island promoters could be used to accurately predict X chromosome inactivation status. The second objective was to use DNA methylation to predict X-chromosome inactivation status in a variety of tissues. A comparison of blood, muscle, kidney and neural tissues revealed tissue-specific X-chromosome inactivation, in which 12% of genes escaped from X-chromosome inactivation in some, but not all, tissues. X-linked DNA methylation analysis of placental tissues predicted four times higher escape from X-chromosome inactivation than in any other tissue. Despite the hypomethylation of repetitive elements on both the X chromosome and the autosomes, no changes were detected in the frequency or intensity of placental Cot-1 holes. -
Locating Gene Conversions on the X-Chromosome
Sexy Gene Conversions: Locating Gene Conversions on the X-Chromosome Mark J. Lawson1, Liqing Zhang1;2∗ Department of Computer Science, Virginia Tech 2Program in Genetics, Bioinformatics, and Computational Biology ∗To whom correspondence should be addressed; E-mail: [email protected] April 3, 2009 Abstract Gene conversion can have a profound impact on both the short-term and long-term evolution of genes and genomes. Here we examined the gene families that are located on the X-chromosomes of human, chimp, mouse, and rat for evidence of gene conversion. We identified seven gene families (WD repeat protein family, Ferritin Heavy Chain family, RAS-related Protein RAB-40 family, Diphosphoinositol polyphosphate phosphohydrolase family, Transcription Elongation Factor A family, LDOC1 Related family, Zinc Finger Protein ZIC, and GLI family) that show evidence of gene conversion. Through phylogenetic analyses and synteny evidence, we show that gene conversion has played an important role in the evolution of these gene families and that gene conversion has occured independently in both primates and rodents. Comparing the results with those of two gene conversion prediction programs (GENECONV and Partimatrix), we found that both GENECONV and Partimatrix have very high false negative rates (i.e. failed to predict gene conversions), leading to many undetected gene conversions. The combination of phylogenetic analyses with physical synteny evidence exhibits high power in the detection of gene conversions. 1 1 Introduction Gene conversions are the exchange of genetic information between two genes, initiated by a double-strand break in one gene (acceptor) followed by the repair of this gene through the copying of the sequence of a similar gene (donor). -
Mckenna, Sim Et Al., Science, 2020
RESEARCH ◥ zation, we combined biochemical and structural RESEARCH ARTICLE SUMMARY approaches to define the function and mecha- nism of the P5A-ATPase. STRUCTURAL BIOLOGY RESULTS: P-type ATPases form a large class of The endoplasmic reticulum P5A-ATPase is a active transporters that are present in all kingdoms of life and predominantly trans- transmembrane helix dislocase port ions or lipids across cellular membranes. The P5A-ATPase belongs to a eukaryotic- Michael J. McKenna*, Sue Im Sim*, Alban Ordureau, Lianjie Wei, J. Wade Harper, specific subfamily of P-type ATPases with un- Sichen Shao†, Eunyong Park† known substrate specificity. We reconstituted membrane protein insertion into organelles in a cell-free system and used site-specific cross- INTRODUCTION: Eukaryotic cells contain geted transmembrane proteins from the ER linking to reveal that the P5A-ATPase interacts membrane-bound organelles with distinct membrane are incompletely understood. directly with the TM of a mitochondrial tail– identities and functionalities that depend anchored protein. Human cells lacking ATP13A1 on protein composition. Correct localization RATIONALE: As a model to study membrane pro- showed mislocalization of mitochondrial tail– of proteins is thus critical for organelle func- tein localization, we focused on tail–anchored anchored proteins to the ER and secretory tion and cellular homeostasis. The endoplas- proteins, which contain a single C-terminal TM pathway. In in vitro assays, newly synthesized mic reticulum (ER) and mitochondrial outer that is necessary and largely sufficient for or- mitochondrial tail–anchored proteins aber- Downloaded from membrane are the primary destinations for ganelle localization. We reasoned that factors rantly accumulated in ER vesicles lacking newly synthesized proteins with hydrophobic that mediate mitochondrial tail–anchored pro- P5A-ATPase activity. -
Effect of Maternal Age on Transcriptome of Granulosa Cells from Bovine
Effect of Maternal Age on Transcriptome of Granulosa Cells from Bovine Dominant Follicles A Thesis submitted to the College of Graduate Studies and Research In Partial Fulfillment of the Requirements For the Degree of Doctor of Philosophy In the Department of Veterinary Biomedical Sciences University of Saskatchewan Saskatoon By MUHAMMAD IRFAN-UR-REHMAN KHAN © Copyright Muhammad Irfan-ur-Rehman Khan, January, 2014. All rights reserved. PERMISSION TO USE In presenting this thesis in partial fulfillment of the requirements for the degree of Doctor of Philosophy from the University of Saskatchewan, I agree that the Libraries of this University may take it freely available for inspection. I further agree that permission for copying of this thesis in any manner, in whole or in part, for scholarly purposes may be granted by the professor or professors who supervised my thesis work or, in their absence, by the Head of the Department or the Dean of the College in which my thesis work was done. It is understood that any copying or publication or use of this thesis or parts thereof for financial gain shall not be allowed without my written permission. It is also understood that due recognition shall be given to me and to the University of Saskatchewan in any scholarly use which may be made of any material in my thesis. Request for permission to copy or to make other use of material in this thesis in whole or part should be addressed to: Head of the Department of Veterinary Biomedical Sciences Western College of Veterinary Medicine 52 Campus Drive, University of Saskatchewan Saskatoon, Saskatchewan, S7N 5B4 Canada i ABSTRACT Advanced maternal age has been shown to influence follicular and luteal dynamics in bovine ovary resulting in reduced fertility. -
Regulation of X-Linked Gene Expression During Early Mouse Development By
Regulation of X-linked gene expression during early mouse development by The MIT Faculty has made this article openly available. Please share how this access benefits you. Your story matters. Citation Wang, Feng et al. “Regulation of X-Linked Gene Expression during Early Mouse Development by Rlim.” eLife 5 (2016): n. pag. As Published http://dx.doi.org/10.7554/eLife.19127 Publisher eLife Sciences Publications, Ltd. Version Final published version Citable link http://hdl.handle.net/1721.1/108565 Terms of Use Creative Commons Attribution 4.0 International License Detailed Terms http://creativecommons.org/licenses/by/4.0/ RESEARCH ARTICLE Regulation of X-linked gene expression during early mouse development by Rlim Feng Wang1†, JongDae Shin1,2†, Jeremy M Shea3, Jun Yu1, Ana Bosˇkovic´ 3, Meg Byron4, Xiaochun Zhu1, Alex K Shalek5,10,6,7, Aviv Regev6,11,8, Jeanne B Lawrence4, Eduardo M Torres1, Lihua J Zhu1,9, Oliver J Rando3, Ingolf Bach1* 1Department of Molecular, Cell and Cancer Biology, University of Massachusetts Medical School, Worcester, United States; 2Department of Cell Biology, College of Medicine, Konyang University, Daejeon, Korea; 3Department of Biochemistry and Molecular Pharmacology, University of Massachusetts Medical School, Worcester, United States; 4Department of Cell and Developmental Biology, University of Massachusetts Medical School, Worcester, United States; 5Department of Chemistry, Massachusetts Institute of Technology, Cambridge, United States; 6Broad Institute of MIT and Harvard, Cambridge, United States; 7Ragon Institute of MGH, MIT and Harvard, Cambridge, United States; 8Howard Hughes Medical Institute, Massachusetts Institute of Technology, Cambridge, United States; 9Program in Bioinformatics and Integrative Biology, University of Massachusetts Medical School, Worcester, United States; 10Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, United States; 11Department of Biology, Massachusetts Institute of Technology , Cambridge, United States *For correspondence: ingolf. -
Prediction of Human Disease Genes by Human-Mouse Conserved Coexpression Analysis
Prediction of Human Disease Genes by Human-Mouse Conserved Coexpression Analysis Ugo Ala1., Rosario Michael Piro1., Elena Grassi1, Christian Damasco1, Lorenzo Silengo1, Martin Oti2, Paolo Provero1*, Ferdinando Di Cunto1* 1 Molecular Biotechnology Center, Department of Genetics, Biology and Biochemistry, University of Turin, Turin, Italy, 2 Department of Human Genetics and Centre for Molecular and Biomolecular Informatics, University Medical Centre Nijmegen, Nijmegen, The Netherlands Abstract Background: Even in the post-genomic era, the identification of candidate genes within loci associated with human genetic diseases is a very demanding task, because the critical region may typically contain hundreds of positional candidates. Since genes implicated in similar phenotypes tend to share very similar expression profiles, high throughput gene expression data may represent a very important resource to identify the best candidates for sequencing. However, so far, gene coexpression has not been used very successfully to prioritize positional candidates. Methodology/Principal Findings: We show that it is possible to reliably identify disease-relevant relationships among genes from massive microarray datasets by concentrating only on genes sharing similar expression profiles in both human and mouse. Moreover, we show systematically that the integration of human-mouse conserved coexpression with a phenotype similarity map allows the efficient identification of disease genes in large genomic regions. Finally, using this approach on 850 OMIM loci characterized by an unknown molecular basis, we propose high-probability candidates for 81 genetic diseases. Conclusion: Our results demonstrate that conserved coexpression, even at the human-mouse phylogenetic distance, represents a very strong criterion to predict disease-relevant relationships among human genes. Citation: Ala U, Piro RM, Grassi E, Damasco C, Silengo L, et al. -
Three-Dimensional Culture System Identifies a New Mode of Cetuximab Resistance and Disease-Relevant Genes in Colorectal Cancer
Three-dimensional culture system identifies a new mode of cetuximab resistance and disease-relevant genes in colorectal cancer Cunxi Lia,b,c,d,1, Bhuminder Singha,b,1, Ramona Graves-Deala,b, Haiting Mae, Alina Starchenkof, William H. Frya,b, Yuanyuan Lua,b, Yang Wangg, Galina Bogatchevaa,b, Mohseen P. Khanh, Ginger L. Milnei, Shilin Zhaoj, Gregory Daniel Ayersk, Nenggan Lic, Huaying Huc, Mary Kay Washingtonh, Timothy J. Yeatmanl, Oliver G. McDonaldh, Qi Liuj,m, and Robert J. Coffeya,b,n,2 aDepartment of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232; bDepartment of Cell and Developmental Biology, Vanderbilt University, Nashville, TN 37232; cJiaen Genetics Laboratory, Beijing Jiaen Hospital, Beijing 100191; dMolecular Pathology, Cancer Research Center, Medical College of Xiamen University, Xiamen, Fujian 361102; eWhitehead Institute for Biomedical Research, Cambridge, MA 02142; fInterdisciplinary Graduate Program, Vanderbilt University School of Medicine, Nashville, TN 37232; gDepartment of Human Genetics, Emory University, Atlanta, GA 30084; hDepartment of Pathology, Microbiology, and Immunology, Vanderbilt University Medical Center, Nashville, TN 37232; iDivision of Clinical Pharmacology, Vanderbilt University Medical Center, Nashville, TN 37232; jCenter for Quantitative Sciences, Vanderbilt University School of Medicine, Nashville, TN 37232; kDivision of Cancer Biostatistics, Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN 37232; lGibbs Cancer Center & Research Institute, Spartanburg, -
A Temporally Controlled Sequence of X-Chromosome Inactivation and Reactivation Defines Female Mouse in Vitro Germ Cells with Meiotic Potential
bioRxiv preprint doi: https://doi.org/10.1101/2021.08.11.455976; this version posted August 11, 2021. 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 4.0 International license. A temporally controlled sequence of X-chromosome inactivation and reactivation defines female mouse in vitro germ cells with meiotic potential Jacqueline Severino1†, Moritz Bauer1,9†, Tom Mattimoe1, Niccolò Arecco1, Luca Cozzuto1, Patricia Lorden2, Norio Hamada3, Yoshiaki Nosaka4,5,6, So Nagaoka4,5,6, Holger Heyn2, Katsuhiko Hayashi7, Mitinori Saitou4,5,6 and Bernhard Payer1,8* Abstract The early mammalian germ cell lineage is characterized by extensive epigenetic reprogramming, which is required for the maturation into functional eggs and sperm. In particular, the epigenome needs to be reset before parental marks can be established and then transmitted to the next generation. In the female germ line, reactivation of the inactive X- chromosome is one of the most prominent epigenetic reprogramming events, and despite its scale involving an entire chromosome affecting hundreds of genes, very little is known about its kinetics and biological function. Here we investigate X-chromosome inactivation and reactivation dynamics by employing a tailor-made in vitro system to visualize the X-status during differentiation of primordial germ cell-like cells (PGCLCs) from female mouse embryonic stem cells (ESCs). We find that the degree of X-inactivation in PGCLCs is moderate when compared to somatic cells and characterized by a large number of genes escaping full inactivation. -
Fine-Mapping and Family-Based Association Analyses of Prostate Cancer Risk Variants at Xp11
2132 Short Communication Fine-Mapping and Family-Based Association Analyses of Prostate Cancer Risk Variants at Xp11 Lingyi Lu,1,2 Jielin Sun,1,3 Sarah D. Isaacs,4 Kathleen E. Wiley,4 Shelly Smith,1,3 Kristen Pruett,1,3 Yi Zhu,1,3 Zheng Zhang,1,3 Fredrik Wiklund,5 Henrik Gro¨nberg,5 Patrick C. Walsh,4 Bao-Li Chang,1,3 S. Lilly Zheng,1,3 William B. Isaacs,4 and Jianfeng Xu1,3 1Center for Cancer Genomics, 2Department of Biostatistical Sciences, 3Center for Human Genomics, Wake Forest University School of Medicine, Winston-Salem, North Carolina; 4Johns Hopkins Medical Institutions, Baltimore, Maryland; and 5Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden Abstract Two single nucleotide polymorphisms (SNP; rs5945572 Ovarian Cancer screening trial. The strongest associa- and rs5945619) at Xp11 were recently implicated in two tion was found with SNPs in the haplotype block in genome-wide association studies of prostate cancer. which the two initial reported SNPs were located, Using a family-based association test for these two although many SNPs in the f140 kb region were SNPs in 168 families with prostate cancer, we showed highly significant in the combined allelic tests (P = À À in this study that the risk alleles of the two reported 10 5 to 10 6). The second strongest association was SNPs were overtransmitted to the affected offspring observed with SNPs in the f286 kb region at another À À (P = 0.009 for rs5945372 and P = 0.03 for rs5945619), which haplotype block (P =10 4 to 10 5), f94 kb centromeric suggested that the observed association in case-control to the first region.