Urine Proteomics of Primary Membranous Nephropathy Using Nanoscale Liquid Chromatography Tandem Mass Spectrometry Analysis

Total Page:16

File Type:pdf, Size:1020Kb

Urine Proteomics of Primary Membranous Nephropathy Using Nanoscale Liquid Chromatography Tandem Mass Spectrometry Analysis Pang et al. Clin Proteom (2018) 15:5 https://doi.org/10.1186/s12014-018-9183-3 Clinical Proteomics RESEARCH Open Access Urine proteomics of primary membranous nephropathy using nanoscale liquid chromatography tandem mass spectrometry analysis Lu Pang1, Qianqian Li2, Yan Li2, Yi Liu1, Nan Duan1 and Haixia Li1* Abstract Background: Primary membranous nephropathy (PMN) is an important cause of nephrotic syndrome in adults. Urine proteome may provide important clues of pathophysiological mechanisms in PMN. In the current study, we analyzed and compared the proteome of urine from patients with PMN and normal controls. Methods: We performed two technical replicates (TMT1 and TMT2) to analyze and compare the urine proteome from patients with PMN and normal controls by tandem mass tag (TMT) technology coupled with nanoscale liquid chromatography tandem mass spectrometry analysis (LC–MS/MS). Gene ontology (GO) enrichment analysis was performed to analyse general characterization of the proteins. The proteins were also matched against the database of Kyoto Encyclopedia of Genes and Genomes (KEGG). For validation, Western blot was used to analyze the selected proteins. Results: A total of 509 proteins and 411 proteins were identifed in TMT1 and TMT2, respectively. 249 proteins were both identifed in two technical replicates. GO analysis and KEGG analysis revealed immunization and coagulation were predominantly involved. Among the diferential protein, the overexcretion of alpha-1-antitrypsin (A1AT) and afamin (AFM) were validated by Western blot analysis. Conclusions: Our data showed the important role of immunologic mechanism in the development of PMN, and the value of urinary A1AT and AFM in biomarker discovery of patients with PMN. The discovery of the overexcretion of A1AT and AFM in the urine can help to further elucidate pathogenetic mechanisms involved in PMN. Keywords: Primary membranous nephropathy, Urine, Proteomics, Alpha-1-antitrypsin, Afamin Background barrier is injured, leading to massive loss of proteins in Primary membranous nephropathy (PMN) is the most urine (proteinuria) [5]. Histopathologically, this disor- common cause of nephrotic syndrome in the adult popu- der is characterized by discovery of immune complexes lation [1, 2] and it is one of the most common diseases deposits in a specifc part of glomerulus between the glo- afecting the glomerulus [2]. Te kidney fltration barrier merular basement membrane and podocyte (called sub- consists of capillary endothelial cells, glomerular base- epithelium), which contain podocyte antigens or planted ment membrane and highly specialized epithelial cell, antigens and circulating antibodies specifc to those anti- the podocytes [3, 4]. In patients with PMN, this fltration gens, resulting in complement activation [2]. Tis dis- covery corroborates the hypothesis that the most likely pathogenesis of PMN is autoimmune. *Correspondence: [email protected] Tremendous insights into the pathophysiology of 1 Department of Clinical Laboratory, Peking University First Hospital, PMN have been made recently, with studies that have Beijing, China Full list of author information is available at the end of the article identifed M-type phospholipase A2 receptor (PLA2R) © The Author(s) 2018. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/ publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. Pang et al. Clin Proteom (2018) 15:5 Page 2 of 15 [6] and thrombospondin type-1 domain-containing providing the preliminary evidence of protein biomarkers 7A (THSD7A) [7] as two major autoantigens in PMN. in urine of PMN patients. Tese fnding supported the theory that podocytes act as sources of antigens for the formation of subepithelial Methods immune complexes deposits [8]. Serum anti-PLA2R anti- Sample collection body identifes approximately 60–80% of cases of PMN Midstream morning urine samples were collected from [9–11]. Despite the undeniable potential of anti-PLA2R patients of biopsy proven PMN with positive anti-PLA2R antibody as a biomarker of disease in patients with PMN, antibody (Group A, n 32) and negative anti-PLA2R this antibody does not explain the etiology of the disease = antibody (Group B, n = 31). Patient characteristics are in a substantial proportion of cases [12]. shown in Additional fle 1: Table S1 and Additional fle 2: Despite progress in the understanding of pathogen- Table S2. Cases of secondary MN were excluded from the esis, the diagnosis of PMN is defnitively dependent on present study, in particular patients with systemic auto- only renal biopsy [13]. Te exact pathogenesis of PMN immunity diseases, viral hepatitis B and C and HIV infec- remains unknown, but podocytes and podocytes-related tion, neoplastic conditions and exposure to toxic agents. proteins appear to have a pivotal role in the develop- All samples were collected at the time of biopsy. Urine ment of PMN. Te pathogenicity of anti-PLA2R has not samples from healthy volunteers (Group C, n = 32) were yet been confrmed [14]. However, human anti-THSD7A also collected (Additional fle 3: Table S3). Samples were has recently been shown to induce PMN with proteinuria kept for less than 4 h at room temperature followed by in mice [15]. Te morphology of healthy podocyte foot low speed centrifugation at 2000×g, 10 min at room processes is necessary for maintaining the character- temperature to remove cellular debris and then stored at istics of the kidney fltration barrier [16]. Interaction of − 80 °C until use. circulating autoantibodies with antigens at the podocyte At frst, we performed the frst TMT experiment (called cell membrane-basement membrane interface generally TMT1 in this study). To increase accuracy repeatability, is regarded as the fundamental pathological mechanism we performed another TMT experiment (called TMT2 in [17]. Since the visceral epithelial cell of Bowman’s capsule this study) by increasing the sample size and replicates to is podocytes, the content of podocytes will be released validate TMT1 (Table 1). Samples from group A, group into urine when podocytes were destroyed by membrane B and group C (9 patients in each group) were tested attack complex. Terefore, urine can be considered as by Western blot (Additional fle 1: Table S1, Additional a potential source to provide important clues of patho- fle 2: Table S2, Additional fle 3: Table S3). physiological mechanisms of PMN. Tis study was approved by the ethics committee of Nanoscale liquid chromatography tandem mass Peking University First Hospital and informed consents spectrometry analysis (LC–MS/MS) may be consid- were obtained from all participants. ered a novel method for identifying candidate bio- markers for patients sufering from PMN [18]. Tandem Protein precipitation mass tag (TMT) is a label-based quantifcation tech- nology that enables accurate and simultaneous com- Te 10 mL sample aliquots from each participant were parison of multiple samples for protein and peptide thawed, and 2.5 mL of trichloroacetic acid (TCA) quantifcation [19]. TMT coupled with LC–MS/MS has the ability to analyze hundreds of proteins with the high- resolution, mass accuracy, and sensitivity [20]. LC–MS/ Table 1 Flow chart of experimental design with three MS has been applied in the proteomic analysis of vari- biological replicates and two technical replicates ous kidney diseases, such as acute kidney injury [21], Replicates Groups Number TMT tags lupus nephritis [22], diabetic nephropathy [23] and IgA of samples nephropathy [24]. However, proteomic analysis of PMN TMT1 Group A 5 126 has been rarely studied, especially in urine. Group B 4 130 Our aim was to test urine proteomics as a non-invasive Group C 5 131 method for identifcation of new protein biomarkers of TMT2 PMN in urine, and link them to pathogenesis of the dis- TMT2a Group A 9 126 ease through known signaling and metabolic pathways. Group B 9 127C In this study, we performed proteomic analysis using Group C 9 127 N TMT technology coupled with LC–MS/MS, compar- TMT2b Group A 9 128 N ing PMN urine samples with normal control groups. Group B 9 129C Te proteomic results were validated with Western blot, Group C 9 130C Pang et al. Clin Proteom (2018) 15:5 Page 3 of 15 precipitation solution (30% v/v) were added to the sam- subjected to a matrix assisted laser desorption ionization ple aliquots to a fnal TCA concentration of 6% v/v. procedure after Ziptip desalting. Strong vortexing for 1 min and overnight incubation at Strong cationic exchange chromatography − 20 °C were performed. Te mixtures were centrifuged at 14,000×g for 15 min at 4 °C and the supernatants Te mixed peptides were dissolved in bufer A (2% ace- were discarded. In order to eliminate traces of acid that tonitrile (ACN) and 20 mmol/L ammonium formate, can negatively afect the digestion efciency, the pellets pH 10.0). Ten, the samples were loaded onto a reverse- were resuspended in 2.5 mL of chilled acetone (− 20 °C) phase column (Luna C18, 4.6 × 150 mm; Phenomenex, and clarifed by centrifugation at 14,000×g at 25 °C for Torrance, CA, USA) and eluted using a step linear elution 10 min. Te wash step was repeated once more. Te program: 0–10% bufer B (500 mmol/L KCl, 10 mmol/L supernatants were discarded and the pellets were dried KH2PO4 in 25% ACN, pH 2.7) for 10 min, 10–20% bufer naturally. Te dry pellets were resuspended in 300 μL B for 25 min, 20–45% bufer B for 5 min and 50–100% solubilization bufer (8 mol/L urea and 0.1 mol/L ammo- bufer B for 5 min at a fow rate of 0.7 mL/min.
Recommended publications
  • Serum Concentrations of Afamin Are Elevated in Patients with Polycystic Ovary Syndrome
    AKo¨ ninger et al. Afamin in patients with PCOS 1–7 3:120 Research Open Access Serum concentrations of afamin are elevated in patients with polycystic ovary syndrome Angela Ko¨ ninger, Philippos Edimiris, Laura Koch, Antje Enekwe, Claudia Lamina1, Sabine Kasimir-Bauer, Rainer Kimmig and Hans Dieplinger1,2 Correspondence Department of Gynecology and Obstetrics, University of Duisburg-Essen, D-45122 Essen, Germany should be addressed 1Division of Genetic Epidemiology, Department of Medical Genetics, Molecular and Clinical Pharmacology, to H Dieplinger Innsbruck Medical University, Scho¨ pfstrasse 41, A-6020 Innsbruck, Austria Email 2Vitateq Biotechnology GmbH, A-6020 Innsbruck, Austria [email protected] Abstract Oxidative stress seems to be present in patients with polycystic ovary syndrome (PCOS). Key Words The aim of this study was to evaluate the correlation between characteristics of PCOS and " vitamin E-binding protein serum concentrations of afamin, a novel binding protein for the antioxidant vitamin E. " afamin A total of 85 patients with PCOS and 76 control subjects were investigated in a pilot cross- " polycystic ovary syndrome sectional study design between 2009 and 2013 in the University Hospital of Essen, Germany. " oxidative stress Patients with PCOS were diagnosed according to the Rotterdam ESHRE/ASRM-sponsored " insulin resistance PCOS Consensus Workshop Group. Afamin and diagnostic parameters of PCOS were determined at early follicular phase. Afamin concentrations were significantly higher in Endocrine Connections patients with PCOS than in controls (odds ratio (OR) for a 10 mg/ml increase in afaminZ1.3, 95% CIZ1.08–1.58). This difference vanished in a model adjusting for age, BMI, free testosterone index (FTI), and sex hormone-binding globulin (SHBG) (ORZ1.05, 95% CIZ0.80–1.38).
    [Show full text]
  • Antisense Afp Transcripts in Mouse Liver and Their Potential Role in Afp Gene Regulation
    University of Kentucky UKnowledge Theses and Dissertations--Microbiology, Microbiology, Immunology, and Molecular Immunology, and Molecular Genetics Genetics 2017 ANTISENSE AFP TRANSCRIPTS IN MOUSE LIVER AND THEIR POTENTIAL ROLE IN AFP GENE REGULATION Maria S. Dixon University of Kentucky, [email protected] Digital Object Identifier: https://doi.org/10.13023/ETD.2017.356 Right click to open a feedback form in a new tab to let us know how this document benefits ou.y Recommended Citation Dixon, Maria S., "ANTISENSE AFP TRANSCRIPTS IN MOUSE LIVER AND THEIR POTENTIAL ROLE IN AFP GENE REGULATION" (2017). Theses and Dissertations--Microbiology, Immunology, and Molecular Genetics. 14. https://uknowledge.uky.edu/microbio_etds/14 This Doctoral Dissertation is brought to you for free and open access by the Microbiology, Immunology, and Molecular Genetics at UKnowledge. It has been accepted for inclusion in Theses and Dissertations--Microbiology, Immunology, and Molecular Genetics by an authorized administrator of UKnowledge. For more information, please contact [email protected]. STUDENT AGREEMENT: I represent that my thesis or dissertation and abstract are my original work. Proper attribution has been given to all outside sources. I understand that I am solely responsible for obtaining any needed copyright permissions. I have obtained needed written permission statement(s) from the owner(s) of each third-party copyrighted matter to be included in my work, allowing electronic distribution (if such use is not permitted by the fair use doctrine) which will be submitted to UKnowledge as Additional File. I hereby grant to The University of Kentucky and its agents the irrevocable, non-exclusive, and royalty-free license to archive and make accessible my work in whole or in part in all forms of media, now or hereafter known.
    [Show full text]
  • Entrez Exercises
    1 NCBI Exercises 1/12/2007 Entrez Exercises Global Query: Controlled Vocabularies and Limits Type the word “cancer” in the search box on the NCBI homepage and run the search. This query returns results in all of the Entrez databases. However the query is interpreted differently in different databases. PubMed Retrieve the result for the PubMed database. Click the “Details” tab to see how the query was interpreted in this database. Notice that the term cancer was translated to the Medical Subject Heading (MeSH) term “neoplasms” ("neoplasms"[MeSH Terms]). 2 NCBI Exercises 1/12/2007 MeSH is a controlled vocabulary that is used to index all articles in PubMed. In the details box, edit the query to remove the portion that searched for cancer as a text word and run the search. Notice that the number of articles retrieved has changed. These will be a more relevant set of results. You can force the PubMed engine to only search the MeSH vocabulary or specify any other indexed field through the “Limits” tab. Use the Web browser’s back button to return to the Global query page and retrieve the PubMed results again. Now click on the “Limits” tab. Select “MeSH terms” from the first drop-down menu, the one headed by “All Fields”. Now run the search with the limit in place and check the “Details” tab to verify that only the MeSH term translation was used. Nucleotide Use the Web browser’s back button to return to the Global query page. Retrieve the results for the nucleotide database. 3 NCBI Exercises 1/12/2007 The Nucleotide database in the Global query is now three separate databases.
    [Show full text]
  • Collapse of the Hepatic Gene Regulatory Network in the Absence of Foxa Factors
    bioRxiv preprint doi: https://doi.org/10.1101/2020.03.31.016006; this version posted April 1, 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. Collapse of the hepatic gene regulatory network in the absence of FoxA factors Yitzhak Reizel1, Ashleigh Morgan1, Long Gao1, Yemin Lan2, Elisabetta Manduchi3, Eric L. Waite1, Amber W. Wang1, Andrew Wells4, and Klaus H. Kaestner1* 1Department of Genetics, University of Pennsylvania, Philadelphia, PA 2Epigenetics Institute, University of Pennsylvania, Philadelphia, PA 3Department of Biostatistics, Epidemiology & Informatics, University of Pennsylvania, Philadelphia, PA 4Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, PA *Correspondence to: Klaus H Kaestner at [email protected] Phone: 215-898-8759 Fax: 215-573-5892 1 bioRxiv preprint doi: https://doi.org/10.1101/2020.03.31.016006; this version posted April 1, 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 FoxA transcription factors are critical for liver development through their pioneering activity, which initiates a highly complex regulatory network thought to become progressively resistant to the loss of any individual hepatic transcription factor via mutual redundancy. To investigate the dispensability of FoxA factors for maintaining this regulatory network, we ablated all FoxA genes in the adult mouse liver. Remarkably, loss of FoxA caused rapid hepatocyte dedifferentiation manifested by a massive reduction in the expression of key liver genes. Interestingly, expression of these genes was reduced back to the low levels of the fetal prehepatic endoderm stage, leading to necrosis and lethality within days.
    [Show full text]
  • Page 1 of 76 Diabetes Diabetes Publish Ahead of Print, Published Online September 14, 2020
    Page 1 of 76 Diabetes Peters, Annette; Helmholtz Center Munich German Research Center for Environmental Health, Epidemiology Institute Waldenberger, Melanie; Helmholtz Center Munich German Research Center for Environmental Health, Molecular Epidemiology Diabetes Publish Ahead of Print, published online September 14, 2020 Diabetes Page 2 of 76 Deciphering the Plasma Proteome of Type 2 Diabetes Mohamed A. Elhadad1,2,3 MSc., Christian Jonasson4,5 PhD, Cornelia Huth2,6 PhD, Rory Wilson1,2 MSc, Christian Gieger1,2,6 PhD, Pamela Matias1,2,3 MSc, Harald Grallert1,2,6 PhD, Johannes Graumann7,8 PhD, Valerie Gailus-Durner9 PhD, Wolfgang Rathmann6,10 MD, Christine von Toerne11 PhD, Stefanie M. Hauck11 PhD, Wolfgang Koenig3,12,13 MD, FRCP, FESC, FACC, FAHA, Moritz F. Sinner3,14 MD, MPH, Tudor I Oprea15,16,17 MD, PhD, Karsten Suhre18 PhD, Barbara Thorand2,6 PhD, Kristian Hveem4,5 PhD, Annette Peters2,3,6,19 PhD, Melanie Waldenberger1,2,3 PhD 1. Research Unit of Molecular Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany. 2. Institute of Epidemiology, Helmholtz Zentrum München, German Research Center for Environmental Health, Neuherberg, Germany 3. German Research Center for Cardiovascular Disease (DZHK), Partner site Munich Heart Alliance, Germany 4. K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health, NTNU - Norwegian University of Science and Technology, Trondheim, Norway 5. HUNT Research Center, Department of Public Health, NTNU - Norwegian University of Science and Technology, Levanger, Norway 6. German Center for Diabetes Research (DZD), München-Neuherberg, Ingolstädter Landstr. 1, 85764, Neuherberg, Germany 7. Biomolecular Mass Spectrometry, Max Planck Institute for Heart and Lung Research, Ludwigstrasse 43, Bad Nauheim 61231, Germany 8.
    [Show full text]
  • Human Afamin Elisa
    HUMAN AFAMIN ELISA Product Data Sheet Cat. No.: RD194428100R For Research Use Only Page 1 of 24 ENG.002.A CONTENTS 1. INTENDED USE 3 2. STORAGE, EXPIRATION 3 3. INTRODUCTION 4 4. TEST PRINCIPLE 4 5. PRECAUTIONS 5 6. TECHNICAL HINTS 5 7. REAGENT SUPPLIED 6 8. MATERIAL REQUIRED BUT NOT SUPPLIED 6 9. PREPARATION OF REAGENTS 7 10. PREPARATION OF SAMPLES 8 11. ASSAY PROCEDURE 9 12. CALCULATIONS 11 13. PERFORMANCE CHARACTERISTICS 12 14. DEFINITION OF THE STANDARD 15 15. PRELIMINARY POPULATION DATA 15 16. METHOD COMPARISON 16 17. TROUBLESHOOTING AND FAQS 18 18. REFERENCES 19 19. EXPLANATION OF SYMBOLS 20 This kit is manufactured by: BioVendor – Laboratorní medicína a.s. under the contract with Vitateq Biotechnology GmbH Use only the current version of Product Data Sheet enclosed with the kit! Page 2 of 24 ENG.002.A 1. INTENDED USE The RD194428100R Human Afamin ELISA is a sandwich enzyme immunoassay for the quantitative measurement of human afamin. Features • It is intended for research use only. • The total assay time is less than 3 hours. • The kit measures afamin in serum and plasma (EDTA, citrate, heparin). • Assay format is 96 wells. • Standard is a serum-based protein. • Components of the kit are provided ready to use, concentrated or lyophilized. 2. STORAGE, EXPIRATION Store the complete kit at 2–8°C. Under these conditions, the kit is stable until the expiration date (see label on the box). For stability of opened reagents see Chapter 9. Page 3 of 24 ENG.002.A 3. INTRODUCTION Mature human afamin, the product of the AFM gene, is a single chain 75 kDa protein consisting of 578 amino acid residues.
    [Show full text]
  • Primepcr™Assay Validation Report
    PrimePCR™Assay Validation Report Gene Information Gene Name afamin precursor Gene Symbol Afm Organism Rat Gene Summary secreted protein in the serum that fulfills ligand-carrier functions at late stages of development Gene Aliases Not Available RefSeq Accession No. Not Available UniGene ID Rn.214035 Ensembl Gene ID ENSRNOG00000002878 Entrez Gene ID 282708 Assay Information Unique Assay ID qRnoCID0016852 Assay Type SYBR® Green Detected Coding Transcript(s) ENSRNOT00000060535 Amplicon Context Sequence AAGGCTTCGCTCTGTTGTCTCGTTGAACTTATCCTCCGCATGGCGGTAACAGCTT AACGGGTTTTTTCTGTTGCAGCAATCTTCCAGGAGATCCTTATACACTTTAGTAAT TCTTAGGAGCTCTGGTGTAGACAGTTCAGTATGTCTTCT Amplicon Length (bp) 120 Chromosome Location 14:18993927-18996130 Assay Design Intron-spanning Purification Desalted Validation Results Efficiency (%) 103 R2 0.9998 cDNA Cq 32.7 cDNA Tm (Celsius) 81 gDNA Cq Specificity (%) 100 Information to assist with data interpretation is provided at the end of this report. Page 1/4 PrimePCR™Assay Validation Report Afm, Rat Amplification Plot Amplification of cDNA generated from 25 ng of universal reference RNA Melt Peak Melt curve analysis of above amplification Standard Curve Standard curve generated using 20 million copies of template diluted 10-fold to 20 copies Page 2/4 PrimePCR™Assay Validation Report Products used to generate validation data Real-Time PCR Instrument CFX384 Real-Time PCR Detection System Reverse Transcription Reagent iScript™ Advanced cDNA Synthesis Kit for RT-qPCR Real-Time PCR Supermix SsoAdvanced™ SYBR® Green Supermix Experimental Sample qPCR Reference Total RNA Data Interpretation Unique Assay ID This is a unique identifier that can be used to identify the assay in the literature and online. Detected Coding Transcript(s) This is a list of the Ensembl transcript ID(s) that this assay will detect. Details for each transcript can be found on the Ensembl website at www.ensembl.org.
    [Show full text]
  • Genome-Wide Analysis of Pax8 Binding Provides New Insights Into Thyroid Functions
    Ruiz-Llorente et al. BMC Genomics 2012, 13:147 http://www.biomedcentral.com/1471-2164/13/147 RESEARCH ARTICLE Open Access Genome-wide analysis of Pax8 binding provides new insights into thyroid functions Sergio Ruiz-Llorente1,2, Enrique Carrillo SantadePau1,3,4, Ana Sastre-Perona1, Cristina Montero-Conde1,2, Gonzalo Gómez-López3, James A Fagin2, Alfonso Valencia3, David G Pisano3 and Pilar Santisteban1* Abstract Background: The transcription factor Pax8 is essential for the differentiation of thyroid cells. However, there are few data on genes transcriptionally regulated by Pax8 other than thyroid-related genes. To better understand the role of Pax8 in the biology of thyroid cells, we obtained transcriptional profiles of Pax8-silenced PCCl3 thyroid cells using whole genome expression arrays and integrated these signals with global cis-regulatory sequencing studies performed by ChIP-Seq analysis Results: Exhaustive analysis of Pax8 immunoprecipitated peaks demonstrated preferential binding to intragenic regions and CpG-enriched islands, which suggests a role of Pax8 in transcriptional regulation of orphan CpG regions. In addition, ChIP-Seq allowed us to identify Pax8 partners, including proteins involved in tertiary DNA structure (CTCF) and chromatin remodeling (Sp1), and these direct transcriptional interactions were confirmed in vivo. Moreover, both factors modulate Pax8-dependent transcriptional activation of the sodium iodide symporter (Nis) gene promoter. We ultimately combined putative and novel Pax8 binding sites with actual target gene expression regulation to define Pax8-dependent genes. Functional classification suggests that Pax8-regulated genes may be directly involved in important processes of thyroid cell function such as cell proliferation and differentiation, apoptosis, cell polarity, motion and adhesion, and a plethora of DNA/protein-related processes.
    [Show full text]
  • Mechanisms of Sodium–Glucose Cotransporter 2 Inhibition
    Diabetes Care Volume 43, September 2020 2183 – Ele Ferrannini,1 Ashwin C. Murthy,2 Mechanisms of Sodium Glucose Yong-hoLee,3 ElzaMuscelli,1 SophieWeiss,4 Rachel M. Ostroff,4 Naveed Sattar,5 Cotransporter 2 Inhibition: Stephen A. Williams,4 and Peter Ganz6 Insights From Large-Scale Proteomics Diabetes Care 2020;43:2183–2189 | https://doi.org/10.2337/dc20-0456 OBJECTIVE To assess the effects of empagliflozin, a selective sodium–glucose cotransporter 2 (SGLT2) inhibitor, on broad biological systems through proteomics. RESEARCH DESIGN AND METHODS Aptamer-based proteomics was used to quantify 3,713 proteins in 144 paired plasma samples obtained from 72 participants across the spectrum of glucose tolerance before and after 4 weeks of empagliflozin 25 mg/day. The biology of the plasma proteins significantly changed by empagliflozin (at false discovery rate– corrected P < 0.05) was discerned through Ingenuity Pathway Analysis. RESULTS Empagliflozin significantly affected levels of 43 proteins, 6 related to cardiomyocyte function(fattyacid–bindingprotein3and4[FABPA],neurotrophic receptortyrosine kinase, renin, thrombospondin 4, and leptin receptor), 5 to iron handling (ferritin heavy chain 1, transferrin receptor protein 1, neogenin, growth differentiation CARDIOVASCULAR AND METABOLIC RISK factor 2 [GDF2], and b2-microglobulin), and 1 to sphingosine/ceramide metabolism 1CNR Institute of Clinical Physiology, Pisa, Italy (neutral ceramidase), a known pathway of cardiovascular disease. Among the 2 fi Cardiovascular Division, Department of Medi- protein changes achieving the strongest statistical signi cance, insulin-like binding cine, Hospital of the University of Pennsylvania, factor protein-1 (IGFBP-1), transgelin-2, FABPA, GDF15, and sulphydryl oxidase Philadelphia, PA 2 precursor were increased, while ferritin, thrombospondin 3, and Rearranged 3Department of Medicine, Severance Hospital, during Transfection (RET) were decreased by empagliflozin administration.
    [Show full text]
  • Afamin Antibody / AFM (RQ5792)
    Afamin Antibody / AFM (RQ5792) Catalog No. Formulation Size RQ5792 0.5mg/ml if reconstituted with 0.2ml sterile DI water 100 ug Bulk quote request Availability 1-3 business days Species Reactivity Human Format Antigen affinity purified Clonality Polyclonal (rabbit origin) Isotype Rabbit IgG Purity Affinity purified Buffer Lyophilized from 1X PBS with 2% Trehalose and 0.025% sodium azide UniProt P43652 Applications Western blot : 0.5-1ug/ml Immunohistochemistry : 1-2ug/ml Flow cytometry : 1-3ug/million cells Direct ELISA : 0.1-0.5ug/ml Limitations This AFM antibody is available for research use only. IHC staining of FFPE human ovarian cancer with Afamin antibody. HIER: boil tissue sections in pH8 EDTA for 20 min and allow to cool before testing. IHC staining of FFPE human liver cancer with Afamin antibody. HIER: boil tissue sections in pH8 EDTA for 20 min and allow to cool before testing. Western blot testing of human plasma lysate with Afamin antibody. Predicted molecular weight: ~69/87 kDa (unmodified/glycosylated). Flow cytometry testing of human HL-60 cells with Afamin antibody at 1ug/million cells (blocked with goat sera); Red=cells alone, Green=isotype control, Blue= Afamin antibody. Description Afamin is a protein that in humans is encoded by the AFM gene. This gene is a member of the albumin gene family, which is comprised of four genes that localize to chromosome 4 in a tandem arrangement. These four genes encode structurally-related serum transport proteins that are known to be evolutionarily related. The protein encoded by this gene is regulated developmentally, expressed in the liver and secreted into the bloodstream.
    [Show full text]
  • Organoid Profiling Identifies Common Responders to Chemotherapy in Pancreatic Cancer
    Published OnlineFirst May 31, 2018; DOI: 10.1158/2159-8290.CD-18-0349 RESEARCH ARTICLE Organoid Profi ling Identifi es Common Responders to Chemotherapy in Pancreatic Cancer Hervé Tiriac 1 , Pascal Belleau 1 , Dannielle D. Engle 1 , Dennis Plenker1 , Astrid Deschênes 1 , Tim D. D. Somerville1 , Fieke E. M. Froeling 1 , Richard A. Burkhart 2 , Robert E. Denroche 3 , Gun-Ho Jang 3 , Koji Miyabayashi 1 , C. Megan Young1 , 4 , Hardik Patel 1 , Michelle Ma 1 , Joseph F. LaComb 5 , Randze Lerie D. Palmaira 6 , Ammar A. Javed2 , Jasmine C. Huynh 7 , Molly Johnson 8 , Kanika Arora 8 , Nicolas Robine 8 , Minita Shah 8 , Rashesh Sanghvi8 , Austin B. Goetz 9 , Cinthya Y. Lowder 9 , Laura Martello10 , Else Driehuis 11 , 12 , Nicolas LeComte6 , Gokce Askan 6 , Christine A. Iacobuzio-Donahue 6 , Hans Clevers 11 , 12 , 13 , Laura D. Wood 14 , Ralph H. Hruban 14 , Elizabeth Thompson14 , Andrew J. Aguirre 15 , Brian M. Wolpin 15 , Aaron Sasson 16 , Joseph Kim 16 , Maoxin Wu 17 , Juan Carlos Bucobo5 , Peter Allen6 , Divyesh V. Sejpal 18 , William Nealon 19 , James D. Sullivan 19 , Jordan M. Winter 9 , Phyllis A. Gimotty 20 , Jean L. Grem 21 , Dominick J. DiMaio 22 , Jonathan M. Buscaglia 5 , Paul M. Grandgenett 23 , Jonathan R. Brody9 , Michael A. Hollingsworth 23 , Grainne M. O’Kane 24 , Faiyaz Notta 3 , Edward Kim 7 , James M. Crawford25 , Craig Devoe 26 , Allyson Ocean 27 , Christopher L. Wolfgang 2 , Kenneth H. Yu 6 , Ellen Li 5 , Christopher R. Vakoc1 , Benjamin Hubert 8 , Sandra E. Fischer 28 , 29 , Julie M. Wilson 3 , Richard Moffi tt 16 , 30 , Jennifer Knox24 , Alexander Krasnitz 1 , Steven Gallinger 3 , 24 , 31 , 32 , and David A.
    [Show full text]
  • Supplemental Table 1 Proteins Only Present in VLDL Fraction Entrez Gene Name Coagulation System Extrinsic Prothrombin Activation
    Supplemental Table 1 Proteins only present in VLDL fraction Intrinsic Extrinsic Prothrombi Entrez Gene Name Coagulation Prothrombin n Cellular System Activation Activation location 1 ADP-ribosylation factor interacting protein 1 - - - Cytoplasm 2 afamin - - - Extracellular 3 alpha-1-B glycoprotein - - - Extracellular 4 alpha-2-macroglobulin + - - Extracellular 5 alpha-2-macroglobulin-like 1 - - - Cytoplasm 6 angiotensinogen (serpin peptidase inhibitor, clade A, member 8) - - - Extracellular 7 angiotensinogen (serpin peptidase inhibitor, clade A, member 8) - - - Extracellular 8 apolipoprotein B - - - Extracellular 9 apolipoprotein B - - - Extracellular 10 apolipoprotein E - - - Extracellular 11 apolipoprotein E - - - Extracellular 12 apolipoprotein E - - - Extracellular 13 ArfGAP with GTPase domain, ankyrin repeat and PH domain 6 - - - Other 14 ATP-binding cassette, sub-family A (ABC1), member 1 - - - Plasma Membrane 15 ATP-binding cassette, sub-family C (CFTR/MRP), member 12 - - - Cytoplasm 16 attractin - - - Extracellular 17 Bardet-Biedl syndrome 4 - - - Cytoplasm 18 carboxypeptidase N, polypeptide 2 - - - Extracellular 19 caspase 8, apoptosis-related cysteine peptidase - - - Nucleus 20 Cbl proto-oncogene, E3 ubiquitin protein ligase - - - Nucleus 21 ceruloplasmin (ferroxidase) - - - Extracellular 22 chemokine (C-X-C motif) ligand 2 - - - Extracellular 23 cholinergic receptor, muscarinic 2 - - - Plasma 1 Membrane 24 chromosome 6 open reading frame 163 - - - Other 25 clathrin, heavy chain (Hc) - - - Plasma Membrane 26 coagulation factor
    [Show full text]