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Produktinformation Diagnostik & molekulare Diagnostik Laborgeräte & Service Zellkultur & Verbrauchsmaterial Forschungsprodukte & Biochemikalien Weitere Information auf den folgenden Seiten! See the following pages for more information! Lieferung & Zahlungsart Lieferung: frei Haus Bestellung auf Rechnung SZABO-SCANDIC Lieferung: € 10,- HandelsgmbH & Co KG Erstbestellung Vorauskassa Quellenstraße 110, A-1100 Wien T. +43(0)1 489 3961-0 Zuschläge F. +43(0)1 489 3961-7 [email protected] • Mindermengenzuschlag www.szabo-scandic.com • Trockeneiszuschlag • Gefahrgutzuschlag linkedin.com/company/szaboscandic • Expressversand facebook.com/szaboscandic Tel:240-252-7368(USA) Fax:240-252-7376(USA) www.elabscience.com ® E-mail:[email protected] Elabscience Elabscience Biotechnology Inc. RIC8A Polyclonal Antibody Catalog No. E-AB-52943 Reactivity H,M,R Storage Store at -20℃. Avoid freeze / thaw cycles. Host Rabbit Applications IHC,ELISA Isotype IgG Note: Centrifuge before opening to ensure complete recovery of vial contents. Images Immunogen Information Immunogen Fusion protein of human RIC8A Gene Accession BC011821 Swissprot Q9NPQ8 Synonyms MGC104517,MGC131931,MGC148073,MGC14807 4,RIC8,RIC8A,RIC8A,Synembryn-A Immunohistochemistry of paraffin- Product Information embedded Human tonsil tissue using Buffer PBS with 0.05% NaN3 and 40% Glycerol,pH7.4 RIC8A Polyclonal Antibody at Purify Antigen affinity purification dilution of 1:80(×200) Dilution IHC 1:50-1:300, ELISA 1:5000-1:10000 Background Guanine nucleotide exchange factor (GEF), which can activate some, but not all, G-alpha proteins. Able to activate GNAI1, GNAO1 and GNAQ, Immunohistochemistry of paraffin- but not GNAS by exchanging bound GDP for free GTP. Involved in embedded Human liver cancer tissue regulation of microtubule pulling forces during mitotic movement of using RIC8A Polyclonal Antibody at chromosomes by stimulating G(i)-alpha protein, possibly leading to dilution of 1:80(×200) release G(i)-alpha-GTP and NuMA proteins from the NuMA- GPSM2-G(i)-alpha-GDP complex (By similarity). Also acts as an activator for G(q)-alpha (GNAQ) protein by enhancing the G(q)-coupled receptor-mediated ERK activation. For Research Use Only Focus on your research Thank you for your recent purchase. If you would like to learn more about antibodies,please visit www.elabscience.com. Service for life science Applications:WB-Western Blot IHC-Immunohistochemistry IF-Immunofluorescence IP-Immunoprecipitation FC-Flow cytometry ChIP- Chromatin Immunoprecipitation Reactivity: H-Human R-Rat M-Mouse Mk-Monkey Dg-Dog Ch-Chicken Hm-Hamster Rb-Rabbit Sh- Sheep Pg-Pig Z-Zebrafish X-Xenopus C-Cow. Powered by TCPDF (www.tcpdf.org).

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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.
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Genetic and Pharmacological Approaches to Preventing Neurodegeneration
University of Pennsylvania ScholarlyCommons Publicly Accessible Penn Dissertations 2012 Genetic and Pharmacological Approaches to Preventing Neurodegeneration Marco Boccitto University of Pennsylvania, [email protected] Follow this and additional works at: https://repository.upenn.edu/edissertations Part of the Neuroscience and Neurobiology Commons Recommended Citation Boccitto, Marco, "Genetic and Pharmacological Approaches to Preventing Neurodegeneration" (2012). Publicly Accessible Penn Dissertations. 494. https://repository.upenn.edu/edissertations/494 This paper is posted at ScholarlyCommons. https://repository.upenn.edu/edissertations/494 For more information, please contact [email protected]. Genetic and Pharmacological Approaches to Preventing Neurodegeneration Abstract The Insulin/Insulin-like Growth Factor 1 Signaling (IIS) pathway was first identified as a major modifier of aging in C.elegans. It has since become clear that the ability of this pathway to modify aging is phylogenetically conserved. Aging is a major risk factor for a variety of neurodegenerative diseases including the motor neuron disease, Amyotrophic Lateral Sclerosis (ALS). This raises the possibility that the IIS pathway might have therapeutic potential to modify the disease progression of ALS. In a C. elegans model of ALS we found that decreased IIS had a beneficial effect on ALS pathology in this model. This beneficial effect was dependent on activation of the transcription factor daf-16. To further validate IIS as a potential therapeutic target for treatment of ALS, manipulations of IIS in mammalian cells were investigated for neuroprotective activity. Genetic manipulations that increase the activity of the mammalian ortholog of daf-16, FOXO3, were found to be neuroprotective in a series of in vitro models of ALS toxicity.
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Discovery of Novel Putative Tumor Suppressors from CRISPR Screens Reveals Rewired 2 Lipid Metabolism in AML Cells 3 4 W
bioRxiv preprint doi: https://doi.org/10.1101/2020.10.08.332023; this version posted August 20, 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 4.0 International license. 1 Discovery of novel putative tumor suppressors from CRISPR screens reveals rewired 2 lipid metabolism in AML cells 3 4 W. Frank Lenoir1,2, Micaela Morgado2, Peter C DeWeirdt3, Megan McLaughlin1,2, Audrey L 5 Griffith3, Annabel K Sangree3, Marissa N Feeley3, Nazanin Esmaeili Anvar1,2, Eiru Kim2, Lori L 6 Bertolet2, Medina Colic1,2, Merve Dede1,2, John G Doench3, Traver Hart2,4,* 7 8 9 1 - The University of Texas MD Anderson Cancer Center UTHealth Graduate School of 10 Biomedical Sciences; The University of Texas MD Anderson Cancer Center, Houston, TX 11 12 2 - Department of Bioinformatics and Computational Biology, The University of Texas MD 13 Anderson Cancer Center, Houston, TX, USA 14 15 3 - Genetic Perturbation Platform, Broad Institute of MIT and Harvard, Cambridge, MA, USA 16 17 4 - Department of Cancer Biology, The University of Texas MD Anderson Cancer Center, 18 Houston, TX, USA 19 20 21 22 23 * - Corresponding author: [email protected] 24 25 bioRxiv preprint doi: https://doi.org/10.1101/2020.10.08.332023; this version posted August 20, 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.
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BMC Medical Genomics Biomed Central
BMC Medical Genomics BioMed Central Research article Open Access Data integration from two microarray platforms identifies bi-allelic genetic inactivation of RIC8A in a breast cancer cell line Aslaug Aamodt Muggerud†1,2, Henrik Edgren†3,4, Maija Wolf3,4, Kristine Kleivi1,4, Emelyne Dejeux5, Jörg Tost5, Therese Sørlie*†1,6 and Olli Kallioniemi*†3,4 Address: 1Department of Genetics, Institute for Cancer Research, Norwegian Radium Hospital, Oslo University Hospital, 0310 Oslo, Norway, 2Faculty of Medicine, Division The Norwegian Radium Hospital, University of Oslo, 0316 Oslo, Norway, 3Institute for Molecular Medicine (FIMM), University of Helsinki, Biomedicum Helsinki 2 U, Tukholmankatu 8, FIN-00290 Helsinki, Finland, 4Medical Biotechnology, VTT Technical Research Centre of Finland and Centre for Biotechnology, University of Turku, FIN-20520 Turku, Finland, 5CEA-Institut de Génomique, Centre National de Génotypage, Laboratory for Epigenetics, 2 rue Gaston Crèmieux, 91000 Evry, France and 6Department of Informatics, University of Oslo, Oslo, Norway Email: Aslaug Aamodt Muggerud - [email protected]; Henrik Edgren - [email protected]; Maija Wolf - [email protected]; Kristine Kleivi - [email protected]; Emelyne Dejeux - [email protected]; Jörg Tost - [email protected]; Therese Sørlie* - Therese.Sorlie@rr- research.no; Olli Kallioniemi* - [email protected] * Corresponding authors †Equal contributors Published: 11 May 2009 Received: 3 December 2008 Accepted: 11 May 2009 BMC Medical Genomics 2009, 2:26 doi:10.1186/1755-8794-2-26 This article is available from: http://www.biomedcentral.com/1755-8794/2/26 © 2009 Muggerud 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.
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4 Understanding the Role of GNA13 Deregulation in Lymphomagenesis
Integrative Genomics Reveals a Role for GNA13 in Lymphomagenesis by Adrienne Greenough University Program in Genetics and Genomics Duke University Approved: ___________________________ Sandeep Dave, Supervisor ___________________________ Fred Dietrich ___________________________ Jack Keene ___________________________ Yuan Zhuang Dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the University Program in Genetics and Genomics in the Graduate School of Duke University 2014 i v ABSTRACT Integrative Genomics Reveals a Role for GNA13 in Lymphomagenesis by Adrienne Greenough University Program in Genetics and Genomics Duke University Approved: ___________________________ Sandeep Dave, Supervisor ___________________________ Fred Dietrich ___________________________ Jack Keene ___________________________ Yuan Zhuang An abstract of a dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in the University Program in Genetics and Genomics in the Graduate School of Duke University 2014 Copyright by Adrienne Greenough 2014 Abstract Lymphomas comprise a diverse group of malignancies derived from immune cells. High throughput sequencing has recently emerged as a powerful and versatile method for analysis of the cancer genome and transcriptome. As these data continue to emerge, the crucial work lies in sorting through the wealth of information to hone in on the critical aspects that will give us a better understanding of biology and new insight for how to treat disease. Finding the important signals within these large data sets is one of the major challenges of next generation sequencing. In this dissertation, I have developed several complementary strategies to describe the genetic underpinnings of lymphomas. I begin with developing a better method for RNA sequencing that enables strand-specific total RNA sequencing and alternative splicing profiling in the same analysis.
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Rgs14 Antibody - Middle Region Rabbit Polyclonal Antibody Catalog # AI10666
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 Rgs14 Antibody - middle region Rabbit Polyclonal Antibody Catalog # AI10666 Specification Rgs14 Antibody - middle region - Product Information Application WB Primary Accession P97492 Other Accession NM_016758, NP_058038 Reactivity Human, Mouse, Rat, Rabbit, Pig, Bovine, Dog Predicted Human, Mouse, Rat, Pig, Bovine Host Rabbit Host: Rabbit Clonality Polyclonal Target Name: Rgs14 Calculated MW 60kDa KDa Sample Tissue: Mouse Stomach lysates Antibody Dilution: 1.0μg/ml Rgs14 Antibody - middle region - Additional Information Gene ID 51791 Other Names Regulator of G-protein signaling 14, RGS14, RAP1/RAP2-interacting protein, RPIP1, Rgs14 Format Liquid. Purified antibody supplied in 1x PBS buffer with 0.09% (w/v) sodium azide and 2% sucrose. Reconstitution & Storage Add 50 ul of distilled water. Final anti-Rgs14 antibody concentration is 1 mg/ml in PBS buffer with 2% sucrose. For longer periods of storage, store at 20°C. Avoid repeat freeze-thaw cycles. Precautions Rgs14 Antibody - middle region is for research use only and not for use in diagnostic or therapeutic procedures. Rgs14 Antibody - middle region - Protein Information Page 1/3 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 Name Rgs14 Function Regulates G protein-coupled receptor signaling cascades. Inhibits signal transduction by increasing the GTPase activity of G protein alpha subunits, thereby driving them into their inactive GDP- bound form. Besides, modulates signal transduction via G protein alpha subunits by functioning as a GDP-dissociation inhibitor (GDI). Has GDI activity on G(i) alpha subunits GNAI1 and GNAI3, but not on GNAI2 and G(o) alpha subunit GNAO1.
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The Genetics of Bipolar Disorder
Molecular Psychiatry (2008) 13, 742–771 & 2008 Nature Publishing Group All rights reserved 1359-4184/08 $30.00 www.nature.com/mp FEATURE REVIEW The genetics of bipolar disorder: genome ‘hot regions,’ genes, new potential candidates and future directions A Serretti and L Mandelli Institute of Psychiatry, University of Bologna, Bologna, Italy Bipolar disorder (BP) is a complex disorder caused by a number of liability genes interacting with the environment. In recent years, a large number of linkage and association studies have been conducted producing an extremely large number of findings often not replicated or partially replicated. Further, results from linkage and association studies are not always easily comparable. Unfortunately, at present a comprehensive coverage of available evidence is still lacking. In the present paper, we summarized results obtained from both linkage and association studies in BP. Further, we indicated new potential interesting genes, located in genome ‘hot regions’ for BP and being expressed in the brain. We reviewed published studies on the subject till December 2007. We precisely localized regions where positive linkage has been found, by the NCBI Map viewer (http://www.ncbi.nlm.nih.gov/mapview/); further, we identified genes located in interesting areas and expressed in the brain, by the Entrez gene, Unigene databases (http://www.ncbi.nlm.nih.gov/entrez/) and Human Protein Reference Database (http://www.hprd.org); these genes could be of interest in future investigations. The review of association studies gave interesting results, as a number of genes seem to be definitively involved in BP, such as SLC6A4, TPH2, DRD4, SLC6A3, DAOA, DTNBP1, NRG1, DISC1 and BDNF.
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Concurrent Progress of Reprogramming and Gene Correction to Overcome Therapeutic Limitation of Mutant ALK2-Ipsc
OPEN Experimental & Molecular Medicine (2016) 48, e237; doi:10.1038/emm.2016.43 & 2016 KSBMB. All rights reserved 2092-6413/16 www.nature.com/emm ORIGINAL ARTICLE Concurrent progress of reprogramming and gene correction to overcome therapeutic limitation of mutant ALK2-iPSC Bu-Yeo Kim1, SangKyun Jeong2, Seo-Young Lee2, So Min Lee2, Eun Jeong Gweon2, Hyunjun Ahn3,4, Janghwan Kim3,4 and Sun-Ku Chung2 Fibrodysplasia ossificans progressiva (FOP) syndrome is caused by mutation of the gene ACVR1, encoding a constitutive active bone morphogenetic protein type I receptor (also called ALK2) to induce heterotopic ossification in the patient. To genetically correct it, we attempted to generate the mutant ALK2-iPSCs (mALK2-iPSCs) from FOP-human dermal fibroblasts. However, the mALK2 leads to inhibitory pluripotency maintenance, or impaired clonogenic potential after single-cell dissociation as an inevitable step, which applies gene-correction tools to induced pluripotent stem cells (iPSCs). Thus, current iPSC-based gene therapy approach reveals a limitation that is not readily applicable to iPSCs with ALK2 mutation. Here we developed a simplified one-step procedure by simultaneously introducing reprogramming and gene-editing components into human fibroblasts derived from patient with FOP syndrome, and genetically treated it. The mixtures of reprogramming and gene-editing components are composed of reprogramming episomal vectors, CRISPR/Cas9-expressing vectors and single-stranded oligodeoxynucleotide harboring normal base to correct ALK2 c.617G4A. The one-step-mediated ALK2 gene-corrected iPSCs restored global gene expression pattern, as well as mineralization to the extent of normal iPSCs. This procedure not only helps save time, labor and costs but also opens up a new paradigm that is beyond the current application of gene-editing methodologies, which is hampered by inhibitory pluripotency-maintenance requirements, or vulnerability of single-cell-dissociated iPSCs.
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Transcriptome-Wide Association Study of Attention Deficit Hyperactivity Disorder Identifies Associated Genes and Phenotypes
bioRxiv preprint doi: https://doi.org/10.1101/642231; this version posted May 24, 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. Transcriptome-wide association study of attention deficit hyperactivity disorder identifies associated genes and phenotypes Calwing Liao1,2, Alexandre D. Laporte2, Dan Spiegelman2, Fulya Akçimen1,2, Ridha Joober3, Patrick A. Dion2,4, Guy A. Rouleau1,2,4 1Department of Human Genetics, McGill University, Montréal, Quebec, Canada 2Montreal Neurological Institute, McGill University, Montréal, Quebec, Canada 3Department of Psychiatry, McGill University, Montréal, Quebec, Canada 4Department of Neurology and Neurosurgery, McGill University, Montréal, Quebec, Canada Word count: 2,619 excluding abstract and references Figures: 2 Tables: 3 Keywords: ADHD, transcriptome-wide association study, KAT2B, TMEM161B, amygdala, prefrontal cortex *Correspondence: Dr. Guy A. Rouleau Montreal Neurological Institute and Hospital Department of Neurology and Neurosurgery 3801 University Street, Montreal, QC Canada H3A 2B4. Tel: +1 514 398 2690 Fax: +1 514 398 8248 E-mail: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/642231; this version posted May 24, 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. Abstract Attention deficit/hyperactivity disorder (ADHD) is one of the most common neurodevelopmental psychiatric disorders.
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Accurate Mutation Annotation and Functional Prediction Enhance the Applicability of -Omics Data in Precision Medicine
The Texas Medical Center Library DigitalCommons@TMC The University of Texas MD Anderson Cancer Center UTHealth Graduate School of The University of Texas MD Anderson Cancer Biomedical Sciences Dissertations and Theses Center UTHealth Graduate School of (Open Access) Biomedical Sciences 5-2016 Accurate mutation annotation and functional prediction enhance the applicability of -omics data in precision medicine Tenghui Chen Follow this and additional works at: https://digitalcommons.library.tmc.edu/utgsbs_dissertations Part of the Bioinformatics Commons, Computational Biology Commons, Genomics Commons, and the Medicine and Health Sciences Commons Recommended Citation Chen, Tenghui, "Accurate mutation annotation and functional prediction enhance the applicability of -omics data in precision medicine" (2016). The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access). 666. https://digitalcommons.library.tmc.edu/utgsbs_dissertations/666 This Dissertation (PhD) is brought to you for free and open access by the The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences at DigitalCommons@TMC. It has been accepted for inclusion in The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access) by an authorized administrator of DigitalCommons@TMC. For more information, please contact [email protected]. ACCURATE MUTATION ANNOTATION AND FUNCTIONAL PREDICTION
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SUPPLEMENTARY MATERIALS and METHODS PBMC Transcriptomics
BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) Gut SUPPLEMENTARY MATERIALS AND METHODS PBMC transcriptomics identifies immune-metabolism disorder during the development of HBV-ACLF Contents l Supplementary methods l Supplementary Figure 1 l Supplementary Figure 2 l Supplementary Figure 3 l Supplementary Figure 4 l Supplementary Figure 5 l Supplementary Table 1 l Supplementary Table 2 l Supplementary Table 3 l Supplementary Table 4 l Supplementary Tables 5-14 l Supplementary Table 15 l Supplementary Table 16 l Supplementary Table 17 Li J, et al. Gut 2021;0:1–13. doi: 10.1136/gutjnl-2020-323395 BMJ Publishing Group Limited (BMJ) disclaims all liability and responsibility arising from any reliance Supplemental material placed on this supplemental material which has been supplied by the author(s) Gut SUPPLEMENTARY METHODS Test for HBV DNA The levels of HBV DNA were detected using real-time PCR with a COBAS® AmpliPrep/COBAS® TaqMan 48 System (Roche, Basel, Switzerland) and HBV Test v2.0. Criteria for diagnosing cirrhosis Pathology The gold standard for the diagnosis of cirrhosis is a liver biopsy obtained through a percutaneous or transjugular approach.1 Ultrasonography was performed 2-4 hours before biopsy. Liver biopsy specimens were obtained by experienced physicians. Percutaneous transthoracic puncture of the liver was performed according to the standard criteria. After biopsy, patients were monitored in the hospital with periodic analyses of haematocrit and other vital signs for 24 hours. Cirrhosis was diagnosed according to the globally agreed upon criteria.2 Cirrhosis is defined based on its pathological features under a microscope: (a) the presence of parenchymal nodules, (b) differences in liver cell size and appearance, (c) fragmentation of the biopsy specimen, (d) fibrous septa, and (d) an altered architecture and vascular relationships.
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Imputed Gene Associations Identify Replicable Trans-Acting Genes Enriched in Transcription Pathways and Complex Traits
bioRxiv preprint doi: https://doi.org/10.1101/471748; this version posted November 19, 2018. 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-ND 4.0 International license. Imputed gene associations identify replicable trans-acting genes enriched in transcription pathways and complex traits Heather E. Wheeler1,2,3, , Sally Ploch1, Alvaro N. Barbeira4, Rodrigo Bonazzola4, Alireza Fotuhi Siahpirani5, Ashis Saha6, Alexis Battle6,7, Sushmita Roy8, and Hae Kyung Im4, 1Department of Biology, Loyola University Chicago, Chicago, IL 2Department of Computer Science, Loyola University Chicago, Chicago, IL 3Department of Public Health Sciences, Stritch School of Medicine, Loyola University Chicago, Maywood, IL 4Section of Genetic Medicine, Department of Medicine, University of Chicago, Chicago, IL 5Department of Computer Sciences, University of Wisconsin-Madison, Madison, WI 6Department of Computer Science, Johns Hopkins University, Baltimore, MD 7Department of Biomedical Engineering, Johns Hopkins University, Baltimore, MD 8Department of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI Regulation of gene expression is an important mechanism SNPs associated with gene expression in cis, typically mean- through which genetic variation can affect complex traits. A ing SNPs within 1 Mb of the target gene. Because effect sizes substantial portion of gene expression variation can be ex- are large enough, around 100 samples in the early eQTL stud- plained by both local (cis) and distal (trans) genetic variation. ies could detect replicable associations in the reduced multi- Much progress has been made in uncovering cis-acting expres- ple testing space of cis-eQTLs (1–3).
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