Whole Genome Sequencing Reveals Multiple Linked Genetic Variants On
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Regulation of Cdc42 and Its Effectors in Epithelial Morphogenesis Franck Pichaud1,2,*, Rhian F
© 2019. Published by The Company of Biologists Ltd | Journal of Cell Science (2019) 132, jcs217869. doi:10.1242/jcs.217869 REVIEW SUBJECT COLLECTION: ADHESION Regulation of Cdc42 and its effectors in epithelial morphogenesis Franck Pichaud1,2,*, Rhian F. Walther1 and Francisca Nunes de Almeida1 ABSTRACT An overview of Cdc42 Cdc42 – a member of the small Rho GTPase family – regulates cell Cdc42 was discovered in yeast and belongs to a large family of small – polarity across organisms from yeast to humans. It is an essential (20 30 kDa) GTP-binding proteins (Adams et al., 1990; Johnson regulator of polarized morphogenesis in epithelial cells, through and Pringle, 1990). It is part of the Ras-homologous Rho subfamily coordination of apical membrane morphogenesis, lumen formation and of GTPases, of which there are 20 members in humans, including junction maturation. In parallel, work in yeast and Caenorhabditis elegans the RhoA and Rac GTPases, (Hall, 2012). Rho, Rac and Cdc42 has provided important clues as to how this molecular switch can homologues are found in all eukaryotes, except for plants, which do generate and regulate polarity through localized activation or inhibition, not have a clear homologue for Cdc42. Together, the function of and cytoskeleton regulation. Recent studies have revealed how Rho GTPases influences most, if not all, cellular processes. important and complex these regulations can be during epithelial In the early 1990s, seminal work from Alan Hall and his morphogenesis. This complexity is mirrored by the fact that Cdc42 can collaborators identified Rho, Rac and Cdc42 as main regulators of exert its function through many effector proteins. -
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. -
Integrated Analysis of Multiple Microarray Studies to Identify Novel Gene Signatures in Ulcerative Colitis
fgene-12-697514 July 5, 2021 Time: 19:1 # 1 ORIGINAL RESEARCH published: 09 July 2021 doi: 10.3389/fgene.2021.697514 Integrated Analysis of Multiple Microarray Studies to Identify Novel Gene Signatures in Ulcerative Colitis Zi-An Chen1, Yu-Feng Sun1, Quan-Xu Wang1, Hui-Hui Ma1, Zhi-Zhao Ma2* and Chuan-Jie Yang1* 1 Department of Gastroenterology, The Second Hospital of Hebei Medical University, Shijiazhuang, China, 2 Department of Neurosurgery, The Second Hospital of Hebei Medical University, Shijiazhuang, China Background: Ulcerative colitis (UC) is a chronic, complicated, inflammatory disease with an increasing incidence and prevalence worldwide. However, the intrinsic molecular mechanisms underlying the pathogenesis of UC have not yet been fully elucidated. Methods: All UC datasets published in the GEO database were analyzed and Edited by: Shulan Tian, summarized. Subsequently, the robust rank aggregation (RRA) method was used to Mayo Clinic, United States identify differentially expressed genes (DEGs) between UC patients and controls. Gene Reviewed by: functional annotation and PPI network analysis were performed to illustrate the potential Espiridión Ramos-Martínez, Universidad Nacional Autónoma functions of the DEGs. Some important functional modules from the protein-protein de México, Mexico interaction (PPI) network were identified by molecular complex detection (MCODE), Panwen Wang, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG), and Mayo Clinic Arizona, United States analyses were performed. The results of CytoHubba, a plug for integrated algorithm for *Correspondence: Zhi-Zhao Ma biomolecular interaction networks combined with RRA analysis, were used to identify [email protected] the hub genes. Finally, a mouse model of UC was established by dextran sulfate sodium Chuan-Jie Yang [email protected] salt (DSS) solution to verify the expression of hub genes. -
REG Gene Expression in Inflamed and Healthy Colon Mucosa Explored by in Situ Hybridisation
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Crossref Cell Tissue Res (2013) 352:639–646 DOI 10.1007/s00441-013-1592-z REGULAR ARTICLE REG gene expression in inflamed and healthy colon mucosa explored by in situ hybridisation Atle van Beelen Granlund & Ann Elisabet Østvik & Øystein Brenna & Sverre H. Torp & Bjørn I. Gustafsson & Arne Kristian Sandvik Received: 10 December 2012 /Accepted: 14 February 2013 /Published online: 22 March 2013 # The Author(s) 2013. This article is published with open access at Springerlink.com Abstract The regenerating islet-derived (REG) gene family used in situ hybridisation to demonstrate the cellular encodes a group of proteins highly expressed in several localisation of REG expression in healthy and diseased human pathologies, many of which are associated with colonic mucosa. Samples drawn from an IBD cohort includ- epithelial inflammation. All human family members, name- ing both inflamed and un-inflamed colonic mucosa are ly REG1A, REG1B, REG3A and REG4, are closely related described, as are samples from non-IBD inflammation and in genomic sequence and all are part of the c-type lectin healthy controls. Immunohistochemistry against known superfamily. REGs are highly expressed during inflamma- cell-type markers on serial sections has localised the expres- tory bowel disease (IBD)-related colonic inflammation and sion of REGs to metaplastic Paneth cells (REG1A, REG1B the in vivo expression pattern of REG1A and REG4 has and REG3A) and enteroendocrine cells (REG4), with a been localised by using immunohistochemistry. However, marked expansion of expression during inflammation. The the function of the encoded proteins is largely unknown and group of REGs can, based on gene expression patterns, be the cellular localisation of REG expression during colonic divided into at least two groups; REG1A, REG1B and inflammation has not been described. -
Identification of Novel Alternative Splice Isoforms of Circulating Proteins in a Mouse Model of Human Pancreatic Cancer
Research Article Identification of Novel Alternative Splice Isoforms of Circulating Proteins in a Mouse Model of Human Pancreatic Cancer Rajasree Menon,1 Qing Zhang,3 Yan Zhang,1 Damian Fermin,1 Nabeel Bardeesy,4 Ronald A. DePinho,5 Chunxia Lu,2 Samir M. Hanash,3 Gilbert S. Omenn,1 and David J. States1 1Center for Computational Medicine and Biology and 2Pediatric Endocrinology, University of Michigan, Ann Arbor, Michigan; 3Fred Hutchinson Cancer Research Center, Seattle, Washington; and 4Center for Cancer Research, Massachusetts General Hospital; 5Center for Applied Cancer Science, Dana-Farber Cancer Institute and Harvard Medical School, Boston, Massachusetts Abstract database are scored as high, medium, or low confidence, reflecting the amount of cumulative evidence in support of the existence of a To assess the potential of tumor-associated, alternatively particular alternatively spliced sequence. Evidence is collected from spliced gene products as a source of biomarkers in biological clustering of ESTs, mRNA sequences, and gene model predictions. fluids, we have analyzed a large data set of mass spectra We modified the ECgene database to include three-frame trans- derived from the plasma proteome of a mouse model of lations of the cDNA sequences (5) to determine the occurrence of human pancreatic ductal adenocarcinoma. MS/MS spectra novel splice variant proteins. An important development in recent were interrogated for novel splice isoforms using a non- years is the substantial improvement in tandem mass spectrometry redundant database containing an exhaustive three-frame instrumentation for proteomics, allowing in-depth analysis and translation of Ensembl transcripts and gene models from confident identifications even for proteins coded by mRNA ECgene. -
Investigation of the Underlying Hub Genes and Molexular Pathogensis in Gastric Cancer by Integrated Bioinformatic Analyses
bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Investigation of the underlying hub genes and molexular pathogensis in gastric cancer by integrated bioinformatic analyses Basavaraj Vastrad1, Chanabasayya Vastrad*2 1. Department of Biochemistry, Basaveshwar College of Pharmacy, Gadag, Karnataka 582103, India. 2. Biostatistics and Bioinformatics, Chanabasava Nilaya, Bharthinagar, Dharwad 580001, Karanataka, India. * Chanabasayya Vastrad [email protected] Ph: +919480073398 Chanabasava Nilaya, Bharthinagar, Dharwad 580001 , Karanataka, India bioRxiv preprint doi: https://doi.org/10.1101/2020.12.20.423656; this version posted December 22, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Abstract The high mortality rate of gastric cancer (GC) is in part due to the absence of initial disclosure of its biomarkers. The recognition of important genes associated in GC is therefore recommended to advance clinical prognosis, diagnosis and and treatment outcomes. The current investigation used the microarray dataset GSE113255 RNA seq data from the Gene Expression Omnibus database to diagnose differentially expressed genes (DEGs). Pathway and gene ontology enrichment analyses were performed, and a proteinprotein interaction network, modules, target genes - miRNA regulatory network and target genes - TF regulatory network were constructed and analyzed. Finally, validation of hub genes was performed. The 1008 DEGs identified consisted of 505 up regulated genes and 503 down regulated genes. -
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SAN TA C RUZ BI OTEC HNOL OG Y, INC . Reg lll α/γ (S-13): sc-103862 BACKGROUND APPLICATIONS The regeneration (Reg) family consists of secretory proteins involved in liver, Reg III α/γ (S-13) is recommended for detection of Reg III α and Reg III γ of pancreatic, gastric and intestinal cell proliferation or differentiation. Members human origin by Western Blotting (starting dilution 1:200, dilution range of the Reg family are divided into four subclasses, designated types I, II, III 1:100-1:1000), immunoprecipitation [1-2 µg per 100-500 µg of total protein and IV, all of which share a common gene structure containing five introns and (1 ml of cell lysate)], immunofluorescence (starting dilution 1:50, dilution six exons. Members of the Reg family have been implicated in the regulation range 1:50-1:500) and solid phase ELISA (starting dilution 1:30, dilution of cell growth, tumorigenesis and the progression of cancer. Reg lll γ (regen - range 1:30-1:3000). erating islet-derived 3 γ), also known as pancreatitis-associated protein 1B, PA P1B or UNQ429, is a 175 amino acid secreted protein that is expressed Molecular Weight of Reg III α: 19 kDa. almost exclusively in pancreas, with low levels of expression in testis. Reg lll γ Molecular Weight of Reg lll γ: 16 kDa. functions as an antimicrobial protein involved in controlling bacterial prolifera - Positive Controls: human pancreas extract: sc-363770. tion and may be induced during acute pancreatitis. The gene encoding Reg lll γ maps to human chromosome 2, which houses over 1,400 genes and comprises nearly 8% of the human genome. -
Reg Proteins Promote Acinar-To-Ductal Metaplasia and Act As Novel Diagnostic and Prognostic Markers in Pancreatic Ductal Adenocarcinoma
www.impactjournals.com/oncotarget/ Oncotarget, Vol. 7, No. 47 Research Paper Reg proteins promote acinar-to-ductal metaplasia and act as novel diagnostic and prognostic markers in pancreatic ductal adenocarcinoma Qing Li1,*, Hao Wang2,*, George Zogopoulos3,4, Qin Shao5, Kun Dong6, Fudong Lv6, Karam Nwilati1, Xian-yong Gui7, Adeline Cuggia4, Jun-Li Liu1, Zu-hua Gao5 1Fraser Laboratories for Diabetes Research, Department of Medicine, McGill University Health Centre, Montreal, QC, Canada 2Department of Oncology, Qingdao Municipal Hospital, School of Medicine, Qingdao University, Qingdao, China 3Department of Surgery, McGill University Health Centre, Montreal, QC, Canada 4Quebec Pancreas Cancer Study, McGill University Health Centre, Montreal, QC, Canada 5Department of Pathology, McGill University Health Centre, Montreal, QC, Canada 6Department of Pathology, You An Hospital, Capital Medical University, Beijing, China 7Department of Pathology, University of Calgary, Calgary, AB, Canada *These authors have contributed equally Correspondence to: Zu-hua Gao, email: [email protected] Jun-Li Liu, email: [email protected] Keywords: Reg family proteins, pancreatic ductal adenocarcinoma, acinar-to-ductal metaplasia, pancreatic intraepithelial neoplasia, cholangiocarcinoma Received: March 01, 2016 Accepted: October 13, 2016 Published: October 24, 2016 ABSTRACT Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive malignant tumor. Acinar-to-ductal metaplasia (ADM) and pancreatic intraepithelial neoplasia (PanIN) are both precursor lesions that lead to the development of PDAC. Reg family proteins (Reg1A, 1B, 3A/G, 4) are a group of calcium-dependent lectins that promote islet growth in response to inflammation and/or injuries. The aim of this study was to establish a role for Reg proteins in the development of PDAC and their clinical value as biomarkers. -
High Throughput Strategies Aimed at Closing the GAP in Our Knowledge of Rho Gtpase Signaling
cells Review High Throughput strategies Aimed at Closing the GAP in Our Knowledge of Rho GTPase Signaling Manel Dahmene 1, Laura Quirion 2 and Mélanie Laurin 1,3,* 1 Oncology Division, CHU de Québec–Université Laval Research Center, Québec, QC G1V 4G2, Canada; [email protected] 2 Montréal Clinical Research Institute (IRCM), Montréal, QC H2W 1R7, Canada; [email protected] 3 Université Laval Cancer Research Center, Québec, QC G1R 3S3, Canada * Correspondence: [email protected] Received: 21 May 2020; Accepted: 7 June 2020; Published: 9 June 2020 Abstract: Since their discovery, Rho GTPases have emerged as key regulators of cytoskeletal dynamics. In humans, there are 20 Rho GTPases and more than 150 regulators that belong to the RhoGEF, RhoGAP, and RhoGDI families. Throughout development, Rho GTPases choregraph a plethora of cellular processes essential for cellular migration, cell–cell junctions, and cell polarity assembly. Rho GTPases are also significant mediators of cancer cell invasion. Nevertheless, to date only a few molecules from these intricate signaling networks have been studied in depth, which has prevented appreciation for the full scope of Rho GTPases’ biological functions. Given the large complexity involved, system level studies are required to fully grasp the extent of their biological roles and regulation. Recently, several groups have tackled this challenge by using proteomic approaches to map the full repertoire of Rho GTPases and Rho regulators protein interactions. These studies have provided in-depth understanding of Rho regulators specificity and have contributed to expand Rho GTPases’ effector portfolio. Additionally, new roles for understudied family members were unraveled using high throughput screening strategies using cell culture models and mouse embryos. -
Human Lectins, Their Carbohydrate Affinities and Where to Find Them
biomolecules Review Human Lectins, Their Carbohydrate Affinities and Where to Review HumanFind Them Lectins, Their Carbohydrate Affinities and Where to FindCláudia ThemD. Raposo 1,*, André B. Canelas 2 and M. Teresa Barros 1 1, 2 1 Cláudia D. Raposo * , Andr1 é LAQVB. Canelas‐Requimte,and Department M. Teresa of Chemistry, Barros NOVA School of Science and Technology, Universidade NOVA de Lisboa, 2829‐516 Caparica, Portugal; [email protected] 12 GlanbiaLAQV-Requimte,‐AgriChemWhey, Department Lisheen of Chemistry, Mine, Killoran, NOVA Moyne, School E41 of ScienceR622 Co. and Tipperary, Technology, Ireland; canelas‐ [email protected] NOVA de Lisboa, 2829-516 Caparica, Portugal; [email protected] 2* Correspondence:Glanbia-AgriChemWhey, [email protected]; Lisheen Mine, Tel.: Killoran, +351‐212948550 Moyne, E41 R622 Tipperary, Ireland; [email protected] * Correspondence: [email protected]; Tel.: +351-212948550 Abstract: Lectins are a class of proteins responsible for several biological roles such as cell‐cell in‐ Abstract:teractions,Lectins signaling are pathways, a class of and proteins several responsible innate immune for several responses biological against roles pathogens. such as Since cell-cell lec‐ interactions,tins are able signalingto bind to pathways, carbohydrates, and several they can innate be a immuneviable target responses for targeted against drug pathogens. delivery Since sys‐ lectinstems. In are fact, able several to bind lectins to carbohydrates, were approved they by canFood be and a viable Drug targetAdministration for targeted for drugthat purpose. delivery systems.Information In fact, about several specific lectins carbohydrate were approved recognition by Food by andlectin Drug receptors Administration was gathered for that herein, purpose. plus Informationthe specific organs about specific where those carbohydrate lectins can recognition be found by within lectin the receptors human was body. -
Specific Functions of Exostosin-Like 3 (EXTL3) Gene Products Shuhei Yamada
Yamada Cellular & Molecular Biology Letters (2020) 25:39 Cellular & Molecular https://doi.org/10.1186/s11658-020-00231-y Biology Letters REVIEW LETTER Open Access Specific functions of Exostosin-like 3 (EXTL3) gene products Shuhei Yamada Correspondence: shuheiy@meijo-u. ac.jp Abstract Department of Pathobiochemistry, Exostosin-like 3 EXTL3 Faculty of Pharmacy, Meijo ( ) encodes the glycosyltransferases responsible for the University, 150 Yagotoyama, biosynthesis of the backbone structure of heparan sulfate (HS), a sulfated Tempaku-ku, Nagoya 468-8503, polysaccharide that is ubiquitously distributed on the animal cell surface and in the Japan extracellular matrix. A lack of EXTL3 reduces HS levels and causes embryonic lethality, indicating its indispensable role in the biosynthesis of HS. EXTL3 has also been identified as a receptor molecule for regenerating islet-derived (REG) protein ligands, which have been shown to stimulate islet β-cell growth. REG proteins also play roles in keratinocyte proliferation and/or differentiation, tissue regeneration and immune defenses in the gut as well as neurite outgrowth in the central nervous system. Compared with the established function of EXTL3 as a glycosyltransferase in HS biosynthesis, the REG-receptor function of EXTL3 is not conclusive. Genetic diseases caused by biallelic mutations in the EXTL3 gene were recently reported to result in a neuro-immuno-skeletal dysplasia syndrome. EXTL3 is a key molecule for the biosynthesis of HS and may be involved in the signal transduction of REG proteins. Keywords: Exostosin-like 3 (EXTL3), Heparan sulfate (HS), Biosynthesis, Glycosaminoglycan, Regenerating islet-derived (REG) protein Introduction Hereditary multiple exostosis (HME), also known as multiple osteochondromas, is a rare disorder occurring in approximately 1 in 50,000 individuals [1, 2]. -
Supplementary Table 1
Supplementary Table 1. 492 genes are unique to 0 h post-heat timepoint. The name, p-value, fold change, location and family of each gene are indicated. Genes were filtered for an absolute value log2 ration 1.5 and a significance value of p ≤ 0.05. Symbol p-value Log Gene Name Location Family Ratio ABCA13 1.87E-02 3.292 ATP-binding cassette, sub-family unknown transporter A (ABC1), member 13 ABCB1 1.93E-02 −1.819 ATP-binding cassette, sub-family Plasma transporter B (MDR/TAP), member 1 Membrane ABCC3 2.83E-02 2.016 ATP-binding cassette, sub-family Plasma transporter C (CFTR/MRP), member 3 Membrane ABHD6 7.79E-03 −2.717 abhydrolase domain containing 6 Cytoplasm enzyme ACAT1 4.10E-02 3.009 acetyl-CoA acetyltransferase 1 Cytoplasm enzyme ACBD4 2.66E-03 1.722 acyl-CoA binding domain unknown other containing 4 ACSL5 1.86E-02 −2.876 acyl-CoA synthetase long-chain Cytoplasm enzyme family member 5 ADAM23 3.33E-02 −3.008 ADAM metallopeptidase domain Plasma peptidase 23 Membrane ADAM29 5.58E-03 3.463 ADAM metallopeptidase domain Plasma peptidase 29 Membrane ADAMTS17 2.67E-04 3.051 ADAM metallopeptidase with Extracellular other thrombospondin type 1 motif, 17 Space ADCYAP1R1 1.20E-02 1.848 adenylate cyclase activating Plasma G-protein polypeptide 1 (pituitary) receptor Membrane coupled type I receptor ADH6 (includes 4.02E-02 −1.845 alcohol dehydrogenase 6 (class Cytoplasm enzyme EG:130) V) AHSA2 1.54E-04 −1.6 AHA1, activator of heat shock unknown other 90kDa protein ATPase homolog 2 (yeast) AK5 3.32E-02 1.658 adenylate kinase 5 Cytoplasm kinase AK7