REG Gene Expression in Inflamed and Healthy Colon Mucosa Explored by in Situ Hybridisation
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Non-Invasive Biomarkers for Earlier Detection of Pancreatic Cancer—A Comprehensive Review
cancers Review Non-Invasive Biomarkers for Earlier Detection of Pancreatic Cancer—A Comprehensive Review Greta Brezgyte †, Vinay Shah † , Daria Jach and Tatjana Crnogorac-Jurcevic * Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; [email protected] (G.B.); [email protected] (V.S.); [email protected] (D.J.) * Correspondence: [email protected] † Shared first authorship. Simple Summary: Pancreatic ductal adenocarcinoma (PDAC), which represents approximately 90% of all pancreatic cancers, is an extremely aggressive and lethal disease. It is considered a silent killer due to a largely asymptomatic course and late clinical presentation. Earlier detection of the disease would likely have a great impact on changing the currently poor survival figures for this malignancy. In this comprehensive review, we assessed over 4000 reports on non-invasive PDAC biomarkers in the last decade. Applying the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool, we selected and reviewed in more detail 49 relevant studies reporting on the most promising candidate biomarkers. In addition, we also highlight the present challenges and complexities of translating novel biomarkers into clinical use. Abstract: Pancreatic ductal adenocarcinoma (PDAC) carries a deadly diagnosis, due in large part to delayed presentation when the disease is already at an advanced stage. CA19-9 is currently the most commonly utilized biomarker for PDAC; however, it lacks the necessary accuracy to detect precursor lesions or stage I PDAC. Novel biomarkers that could detect this malignancy with Citation: Brezgyte, G.; Shah, V.; Jach, improved sensitivity (SN) and specificity (SP) would likely result in more curative resections and D.; Crnogorac-Jurcevic, T. -
Dual Proteome-Scale Networks Reveal Cell-Specific Remodeling of the Human Interactome
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.19.905109; this version posted January 19, 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 The copyright holder for this preprint (which was not certified by peer review) is the author/funder.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. Dual Proteome-scale Networks Reveal Cell-specific Remodeling of the Human Interactome Edward L. Huttlin1*, Raphael J. Bruckner1,3, Jose Navarrete-Perea1, Joe R. Cannon1,4, Kurt Baltier1,5, Fana Gebreab1, Melanie P. Gygi1, Alexandra Thornock1, Gabriela Zarraga1,6, Stanley Tam1,7, John Szpyt1, Alexandra Panov1, Hannah Parzen1,8, Sipei Fu1, Arvene Golbazi1, Eila Maenpaa1, Keegan Stricker1, Sanjukta Guha Thakurta1, Ramin Rad1, Joshua Pan2, David P. Nusinow1, Joao A. Paulo1, Devin K. Schweppe1, Laura Pontano Vaites1, J. Wade Harper1*, Steven P. Gygi1*# 1Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA. 2Broad Institute, Cambridge, MA, 02142, USA. 3Present address: ICCB-Longwood Screening Facility, Harvard Medical School, Boston, MA, 02115, USA. 4Present address: Merck, West Point, PA, 19486, USA. 5Present address: IQ Proteomics, Cambridge, MA, 02139, USA. 6Present address: Vor Biopharma, Cambridge, MA, 02142, USA. 7Present address: Rubius Therapeutics, Cambridge, MA, 02139, USA. 8Present address: RPS North America, South Kingstown, RI, 02879, USA. *Correspondence: [email protected] (E.L.H.), [email protected] (J.W.H.), [email protected] (S.P.G.) #Lead Contact: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.01.19.905109; this version posted January 19, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
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. -
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. -
Letter to the Editor Potential Function of MMP3 Gene in Degradation Of
66 Biomed Environ Sci, 2021; 34(1): 66-70 Letter to the Editor Potential Function of MMP3 Gene in Degradation of Extracellular Matrix Complex in Colorectal Carcinoma* DAI Xiao Yong1,&, SONG An Yi1,2,&, MU Lan1, WANG Li Jun1, and HUANG Lai Qiang1,2,# Colorectal cancer (CRC) is a kind of malignant language software through special packages such as tumor that occurs in the digestive tract. CRC occurs bioconductors and limma[2]. In addition, analysis of globally and has high rates of morbidity and down-regulated genes may reveal functional defects mortality. Its incidence and mortality are second and mutations that trigger the occurrence of cancer. only to gastric cancer, esophageal cancer, and Meanwhile, over-expressed genes may be useful as primary liver cancer in digestive system biomarkers in the clinic or to identify potential malignancies. Most CRC cases are adenomas. A few antigen targets. Analysis using conventional are squamous epithelial cancers, which can spread methods, such as enrichment analysis and protein- to adjacent tissues and organs through lymph and protein interaction (PPI) networks, analysis of blood circulation, or directly. The occurrence of CRC differentially expressed genes (DEGs) may provide a is related to factors that include gene mutation, novel approach to reveal significant genes and dietary habits, family disease history, smoking, signaling pathways related to disease. drinking, and external carcinogens. Diagnostic Based on special experimental processing methods for CRC mainly include digital rectal conditions and uniform statistical method of examination, X-ray barium enema, sigmoidoscopy, samples, the refined GAE110224 gene chips were and fiber colonoscopy. However, low sensitivity of chosen for this study from the GEO database. -
Datasheet Blank Template
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. -
Recombinant Human Reg1b Catalog Number: 2090-RG
Recombinant Human Reg1B Catalog Number: 2090-RG DESCRIPTION Source E. coliderived Gln23Asn166, with an Nterminal Met Accession # P48304 Nterminal Sequence Met Analysis Predicted Molecular 16 kDa Mass SPECIFICATIONS SDSPAGE 16 kDa, reducing conditions Activity Measured in a cell proliferation assay using RT4D6P2T rat schwannoma cells. The ED50 for this effect is 0.150.75 μg/mL. Endotoxin Level <0.10 EU per 1 μg of the protein by the LAL method. Purity >95%, by SDSPAGE with silver staining. Formulation Lyophilized from a 0.2 μm filtered solution in PBS. See Certificate of Analysis for details. PREPARATION AND STORAGE Reconstitution Reconstitute at 500 μg/mL in PBS. Shipping The product is shipped at ambient temperature. Upon receipt, store it immediately at the temperature recommended below. Stability & Storage Use a manual defrost freezer and avoid repeated freezethaw cycles. l 12 months from date of receipt, 20 to 70 °C as supplied. l 1 month, 2 to 8 °C under sterile conditions after reconstitution. l 3 months, 20 to 70 °C under sterile conditions after reconstitution. DATA Bioactivity SDSPAGE Recombinant Human Reg1B 1 μg/lane of Recombinant Human Reg1B (Catalog # 2090RG) stimulates (Catalog # 2090RG) was resolved with cell proliferation in RT4D6P2T SDSPAGE under reducing (R) and non rat schwannoma cells. The reducing (NR) conditions and visualized by ED50 for this effect is 0.150.75 silver staining, showing bands at 17.2 and μg/mL. 16.7 kDa, respectively. BACKGROUND Reg1B also called Lithostatine1β or Pancreatic stone protein 2 (PSP2) is a type I subclass member of the Reg gene family. -
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. -
A Draft Map of the Human Proteome
ARTICLE doi:10.1038/nature13302 A draft map of the human proteome Min-Sik Kim1,2, Sneha M. Pinto3, Derese Getnet1,4, Raja Sekhar Nirujogi3, Srikanth S. Manda3, Raghothama Chaerkady1,2, Anil K. Madugundu3, Dhanashree S. Kelkar3, Ruth Isserlin5, Shobhit Jain5, Joji K. Thomas3, Babylakshmi Muthusamy3, Pamela Leal-Rojas1,6, Praveen Kumar3, Nandini A. Sahasrabuddhe3, Lavanya Balakrishnan3, Jayshree Advani3, Bijesh George3, Santosh Renuse3, Lakshmi Dhevi N. Selvan3, Arun H. Patil3, Vishalakshi Nanjappa3, Aneesha Radhakrishnan3, Samarjeet Prasad1, Tejaswini Subbannayya3, Rajesh Raju3, Manish Kumar3, Sreelakshmi K. Sreenivasamurthy3, Arivusudar Marimuthu3, Gajanan J. Sathe3, Sandip Chavan3, Keshava K. Datta3, Yashwanth Subbannayya3, Apeksha Sahu3, Soujanya D. Yelamanchi3, Savita Jayaram3, Pavithra Rajagopalan3, Jyoti Sharma3, Krishna R. Murthy3, Nazia Syed3, Renu Goel3, Aafaque A. Khan3, Sartaj Ahmad3, Gourav Dey3, Keshav Mudgal7, Aditi Chatterjee3, Tai-Chung Huang1, Jun Zhong1, Xinyan Wu1,2, Patrick G. Shaw1, Donald Freed1, Muhammad S. Zahari2, Kanchan K. Mukherjee8, Subramanian Shankar9, Anita Mahadevan10,11, Henry Lam12, Christopher J. Mitchell1, Susarla Krishna Shankar10,11, Parthasarathy Satishchandra13, John T. Schroeder14, Ravi Sirdeshmukh3, Anirban Maitra15,16, Steven D. Leach1,17, Charles G. Drake16,18, Marc K. Halushka15, T. S. Keshava Prasad3, Ralph H. Hruban15,16, Candace L. Kerr19{, Gary D. Bader5, Christine A. Iacobuzio-Donahue15,16,17, Harsha Gowda3 & Akhilesh Pandey1,2,3,4,15,16,20 The availability of human genome sequence has transformed biomedical research over the past decade. However, an equiv- alent map for the human proteome with direct measurements of proteins and peptides does not exist yet. Here we present a draft map of the human proteome using high-resolution Fourier-transform mass spectrometry.