Recessive LAMC3 Mutations Cause Malformations of Occipital Cortical Development
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Frequent Expression Loss of Inter-Alpha-Trypsin Inhibitor Heavy Chain (ITIH) Genes in Multiple Human Solid Tumors: a Systematic Expression Analysis
Hamm, A; Veeck, J; Bektas, N; Wild, P J; Hartmann, A; Heindrichs, U; Kristiansen, G; Werbowetski-Ogilvie, T; Del Maestro, R; Knuechel, R; Dahl, E (2008). Frequent expression loss of Inter-alpha-trypsin inhibitor heavy chain (ITIH) genes in multiple human solid tumors: a systematic expression analysis. BMC Cancer, 8:25. Postprint available at: http://www.zora.uzh.ch University of Zurich Posted at the Zurich Open Repository and Archive, University of Zurich. Zurich Open Repository and Archive http://www.zora.uzh.ch Originally published at: BMC Cancer 2008, 8:25. Winterthurerstr. 190 CH-8057 Zurich http://www.zora.uzh.ch Year: 2008 Frequent expression loss of Inter-alpha-trypsin inhibitor heavy chain (ITIH) genes in multiple human solid tumors: a systematic expression analysis Hamm, A; Veeck, J; Bektas, N; Wild, P J; Hartmann, A; Heindrichs, U; Kristiansen, G; Werbowetski-Ogilvie, T; Del Maestro, R; Knuechel, R; Dahl, E Hamm, A; Veeck, J; Bektas, N; Wild, P J; Hartmann, A; Heindrichs, U; Kristiansen, G; Werbowetski-Ogilvie, T; Del Maestro, R; Knuechel, R; Dahl, E (2008). Frequent expression loss of Inter-alpha-trypsin inhibitor heavy chain (ITIH) genes in multiple human solid tumors: a systematic expression analysis. BMC Cancer, 8:25. Postprint available at: http://www.zora.uzh.ch Posted at the Zurich Open Repository and Archive, University of Zurich. http://www.zora.uzh.ch Originally published at: BMC Cancer 2008, 8:25. Frequent expression loss of Inter-alpha-trypsin inhibitor heavy chain (ITIH) genes in multiple human solid tumors: a systematic expression analysis Abstract BACKGROUND: The inter-alpha-trypsin inhibitors (ITI) are a family of plasma protease inhibitors, assembled from a light chain - bikunin, encoded by AMBP - and five homologous heavy chains (encoded by ITIH1, ITIH2, ITIH3, ITIH4, and ITIH5), contributing to extracellular matrix stability by covalent linkage to hyaluronan. -
Supplementary Information Changes in the Plasma Proteome At
Supplementary Information Changes in the plasma proteome at asymptomatic and symptomatic stages of autosomal dominant Alzheimer’s disease Julia Muenchhoff1, Anne Poljak1,2,3, Anbupalam Thalamuthu1, Veer B. Gupta4,5, Pratishtha Chatterjee4,5,6, Mark Raftery2, Colin L. Masters7, John C. Morris8,9,10, Randall J. Bateman8,9, Anne M. Fagan8,9, Ralph N. Martins4,5,6, Perminder S. Sachdev1,11,* Supplementary Figure S1. Ratios of proteins differentially abundant in asymptomatic carriers of PSEN1 and APP Dutch mutations. Mean ratios and standard deviations of plasma proteins from asymptomatic PSEN1 mutation carriers (PSEN1) and APP Dutch mutation carriers (APP) relative to reference masterpool as quantified by iTRAQ. Ratios that significantly differed are marked with asterisks (* p < 0.05; ** p < 0.01). C4A, complement C4-A; AZGP1, zinc-α-2-glycoprotein; HPX, hemopexin; PGLYPR2, N-acetylmuramoyl-L-alanine amidase isoform 2; α2AP, α-2-antiplasmin; APOL1, apolipoprotein L1; C1 inhibitor, plasma protease C1 inhibitor; ITIH2, inter-α-trypsin inhibitor heavy chain H2. 2 A) ADAD)CSF) ADAD)plasma) B) ADAD)CSF) ADAD)plasma) (Ringman)et)al)2015)) (current)study)) (Ringman)et)al)2015)) (current)study)) ATRN↓,%%AHSG↑% 32028% 49% %%%%%%%%HC2↑,%%ApoM↓% 24367% 31% 10083%% %%%%TBG↑,%%LUM↑% 24256% ApoC1↓↑% 16565% %%AMBP↑% 11738%%% SERPINA3↓↑% 24373% C6↓↑% ITIH2% 10574%% %%%%%%%CPN2↓%% ↓↑% %%%%%TTR↑% 11977% 10970% %SERPINF2↓↑% CFH↓% C5↑% CP↓↑% 16566% 11412%% 10127%% %%ITIH4↓↑% SerpinG1↓% 11967% %%ORM1↓↑% SerpinC1↓% 10612% %%%A1BG↑%%% %%%%FN1↓% 11461% %%%%ITIH1↑% C3↓↑% 11027% 19325% 10395%% %%%%%%HPR↓↑% HRG↓% %%% 13814%% 10338%% %%% %ApoA1 % %%%%%%%%%GSN↑% ↓↑ %%%%%%%%%%%%ApoD↓% 11385% C4BPA↓↑% 18976%% %%%%%%%%%%%%%%%%%ApoJ↓↑% 23266%%%% %%%%%%%%%%%%%%%%%%%%%%ApoA2↓↑% %%%%%%%%%%%%%%%%%%%%%%%%%%%%A2M↓↑% IGHM↑,%%GC↓↑,%%ApoB↓↑% 13769% % FGA↓↑,%%FGB↓↑,%%FGG↓↑% AFM↓↑,%%CFB↓↑,%% 19143%% ApoH↓↑,%%C4BPA↓↑% ApoA4↓↑%%% LOAD/MCI)plasma) LOAD/MCI)plasma) LOAD/MCI)plasma) LOAD/MCI)plasma) (Song)et)al)2014)) (Muenchhoff)et)al)2015)) (Song)et)al)2014)) (Muenchhoff)et)al)2015)) Supplementary Figure S2. -
A University of Sussex Phd Thesis Available Online Via
A University of Sussex PhD thesis Available online via Sussex Research Online: http://sro.sussex.ac.uk/ This thesis is protected by copyright which belongs to the author. This thesis cannot be reproduced or quoted extensively from without first obtaining permission in writing from the Author The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the Author When referring to this work, full bibliographic details including the author, title, awarding institution and date of the thesis must be given Please visit Sussex Research Online for more information and further details Exploring interactions between Epstein- Barr virus transcription factor Zta and The Human Genome By IJIEL BARAK NARANJO PEREZ FERNANDEZ A Thesis submitted for the degree of Doctor of Philosophy University Of Sussex School of Life Sciences September 2017 ii I hereby declare that this thesis has not been and will not be, submitted in whole or in part to another University for the award of any other degree. Signature:…………………………..…………………………..……………………… iii Acknowledgements I want to thank Professor Alison J Sinclair for her guidance, mentoring and above all continuous patience. During the time that I’ve been part of her lab I’ve appreciated her wisdom as an educator her foresight as a scientist and tremendous love as a parent. I wish that someday soon rather than later her teachings are reflected in my person and career; hopefully inspiring others like me. Thanks to Professor Michelle West for her help whenever needed or offered. Her sincere and honest feedback, something that I only learned to appreciate after my personal scientific insight was developed. -
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. -
The Oviductal Transcriptome Is Influenced by a Local Ovarian Effect in the Sow Rebeca López-Úbeda1,2, Marta Muñoz3, Luis Vieira1,2, Ronald H
López-Úbeda et al. Journal of Ovarian Research (2016) 9:44 DOI 10.1186/s13048-016-0252-9 RESEARCH Open Access The oviductal transcriptome is influenced by a local ovarian effect in the sow Rebeca López-Úbeda1,2, Marta Muñoz3, Luis Vieira1,2, Ronald H. F. Hunter4, Pilar Coy1,2,5* and Sebastian Canovas1,2,5* Abstract Background: Oviducts participate in fertilization and early embryo development, and they are influenced by systemic and local circulation. Local functional interplay between ovary, oviduct and uterus is important, as deduced from the previously observed differences in hormone concentrations, presence of sperm, or patterns of motility in the oviduct after unilateral ovariectomy (UO). However, the consequences of unilateral ovariectomy on the oviductal transcriptome remain unexplored. In this study, we have investigated the consequences of UO in a higher animal model as the pig. Methods: The influence of UO was analyzed on the number of ovulations on the contra ovary, which was increased, and on the ipsilateral oviductal transcriptome. Microarray analysis was performed and the results were validated by PCR. Differentially expressed genes (DEGs) with a fold change ≥ 2andafalsediscoveryrateof10%were analyzed by Ingenuity Pathway Analysis (IPA) to identify the main biofunctions affected by UO. Results: Data revealed two principal effects in the ipsilateral oviduct after UO: i) down-regulation of genes involved in the survival of sperm in the oviduct and early embryonic development, and ii) up-regulation of genes involved in others functions as protection against external agents and tumors. Conclusions: Results showed that unilateral ovariectomy results in an increased number of ovulation points on the contra ovary and changes in the transcriptome of the ipsilateral oviduct with consequences on key biological process that could affect fertility output. -
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. -
Revealing the Role of the Human Blood Plasma Proteome in Obesity Using Genetic Drivers
ARTICLE https://doi.org/10.1038/s41467-021-21542-4 OPEN Revealing the role of the human blood plasma proteome in obesity using genetic drivers Shaza B. Zaghlool 1,11, Sapna Sharma2,3,4,11, Megan Molnar 2,3, Pamela R. Matías-García2,3,5, Mohamed A. Elhadad 2,3,6, Melanie Waldenberger 2,3,7, Annette Peters 3,4,7, Wolfgang Rathmann4,8, ✉ Johannes Graumann 9,10, Christian Gieger2,3,4, Harald Grallert2,3,4,12 & Karsten Suhre 1,12 Blood circulating proteins are confounded readouts of the biological processes that occur in 1234567890():,; different tissues and organs. Many proteins have been linked to complex disorders and are also under substantial genetic control. Here, we investigate the associations between over 1000 blood circulating proteins and body mass index (BMI) in three studies including over 4600 participants. We show that BMI is associated with widespread changes in the plasma proteome. We observe 152 replicated protein associations with BMI. 24 proteins also associate with a genome-wide polygenic score (GPS) for BMI. These proteins are involved in lipid metabolism and inflammatory pathways impacting clinically relevant pathways of adiposity. Mendelian randomization suggests a bi-directional causal relationship of BMI with LEPR/LEP, IGFBP1, and WFIKKN2, a protein-to-BMI relationship for AGER, DPT, and CTSA, and a BMI-to-protein relationship for another 21 proteins. Combined with animal model and tissue-specific gene expression data, our findings suggest potential therapeutic targets fur- ther elucidating the role of these proteins in obesity associated pathologies. 1 Department of Physiology and Biophysics, Weill Cornell Medicine-Qatar, Doha, Qatar. -
Blood-Based Biomarkers for Predicting the Risk for Five-Year Incident Coronary Heart Disease in the Framingham Heart Study Via Machine Learning
G C A T T A C G G C A T genes Article Blood-Based Biomarkers for Predicting the Risk for Five-Year Incident Coronary Heart Disease in the Framingham Heart Study via Machine Learning Meeshanthini V. Dogan 1,2,3,*, Steven R. H. Beach 4, Ronald L. Simons 5, Amaury Lendasse 6,7, Brandan Penaluna 8 and Robert A. Philibert 1,2,3,8 1 Department of Biomedical Engineering, University of Iowa, Iowa City, IA 52242, USA; [email protected] 2 Cardio Diagnostics LLC, 2500 Crosspark Road, Coralville, IA 52241, USA 3 Department of Psychiatry, University of Iowa, Iowa City, IA 52242, USA 4 Department of Psychology, University of Georgia, Athens, GA 30602, USA; [email protected] 5 Department of Sociology, University of Georgia, Athens, GA 30606, USA; [email protected] 6 Information and Logistics Technology Department, University of Houston, Houston, TX 77004, USA; [email protected] 7 Department of Business Management and Analytics, Arcada University of Applied Sciences, 00560 Helsinki, Finland 8 Behavioral Diagnostics LLC, 2500 Crosspark Road, Coralville, IA 52241, USA; [email protected] * Correspondence: [email protected]; Tel.: +1-319-353-4986 Received: 15 November 2018; Accepted: 12 December 2018; Published: 18 December 2018 Abstract: An improved approach for predicting the risk for incident coronary heart disease (CHD) could lead to substantial improvements in cardiovascular health. Previously, we have shown that genetic and epigenetic loci could predict CHD status more sensitively than conventional risk factors. Herein, we examine whether similar machine learning approaches could be used to develop a similar panel for predicting incident CHD. -
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). -
H4K16 Acetylation Marks Active Genes and Enhancers of Embryonic Stem Cells, but Does Not Alter Chromatin Compaction
Downloaded from genome.cshlp.org on October 5, 2021 - Published by Cold Spring Harbor Laboratory Press H4K16 acetylation marks active genes and enhancers of embryonic stem cells, but does not alter chromatin compaction Gillian Taylor1, Ragnhild Eskeland2, Betül Hekimoglu-Balkan1, Madapura M. Pradeepa1* and Wendy A Bickmore1* 1 MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine at University of Edinburgh, Crewe Road, Edinburgh EH4 2XU, UK 2Current address: Department of Molecular Biosciences, University of Oslo, N-0316 Oslo, Norway *Correspondence to: W. Bickmore or M.M. Pradeepa, MRC Human Genetics Unit, MRC IGMM, Crewe Road, Edinburgh EH4 2XU, UK Tel: +44 131 332 2471 Fax: +44 131 467 8456 Email:[email protected] or [email protected] Running head: H4K16 acetylation and long-range genome regulation Keywords: Chromatin compaction, embryonic stem cells, fluorescence in situ hybridization, histone acetylation, long-range regulation, 1 Downloaded from genome.cshlp.org on October 5, 2021 - Published by Cold Spring Harbor Laboratory Press Abstract Compared with histone H3, acetylation of H4 tails has not been well studied, especially in mammalian cells. Yet, H4K16 acetylation is of particular interest because of its ability to decompact nucleosomes in vitro and its involvement in dosage compensation in flies. Here we show that, surprisingly, loss of H4K16 acetylation does not alter higher-order chromatin compaction in vivo in mouse embryonic stem cells (ESCs). As well as peaks of acetylated H4K16 and Kat8/MOF histone acetyltransferase at the transcription start sites of expressed genes, we report that acetylation of H4K16 is a new marker of active enhancers in ESCs and that some enhancers are marked by H3K4me1, Kat8 and H4K16ac but not by acetylated H3K27 or p300/EP300, suggesting that they are novel EP300 independent regulatory elements. -
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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. -
Long, Noncoding RNA Dysregulation in Glioblastoma
cancers Review Long, Noncoding RNA Dysregulation in Glioblastoma Patrick A. DeSouza 1,2 , Xuan Qu 1, Hao Chen 1,3, Bhuvic Patel 1 , Christopher A. Maher 2,4,5,6 and Albert H. Kim 1,6,* 1 Department of Neurological Surgery, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; [email protected] (P.A.D.); [email protected] (X.Q.); [email protected] (H.C.); [email protected] (B.P.) 2 Department of Internal Medicine, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA; [email protected] 3 Department of Neuroscience, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA 4 Department of Biomedical Engineering, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA 5 McDonnell Genome Institute, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA 6 Siteman Cancer Center, Washington University School of Medicine in St. Louis, St. Louis, MO 63110, USA * Correspondence: [email protected] Simple Summary: Developing effective therapies for glioblastoma (GBM), the most common primary brain cancer, remains challenging due to the heterogeneity within tumors and therapeutic resistance that drives recurrence. Noncoding RNAs are transcribed from a large proportion of the genome and remain largely unexplored in their contribution to the evolution of GBM tumors. Here, we will review the general mechanisms of long, noncoding RNAs and the current knowledge of how these impact heterogeneity and therapeutic resistance in GBM. A better understanding of the molecular drivers required for these aggressive tumors is necessary to improve the management and outcomes Citation: DeSouza, P.A.; Qu, X.; of this challenging disease.