Primary Antibodies Flyer
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer Kumardeep Chaudhary1, Olivier B
Published OnlineFirst October 5, 2017; DOI: 10.1158/1078-0432.CCR-17-0853 Statistics in CCR Clinical Cancer Research Deep Learning–Based Multi-Omics Integration Robustly Predicts Survival in Liver Cancer Kumardeep Chaudhary1, Olivier B. Poirion1, Liangqun Lu1,2, and Lana X. Garmire1,2 Abstract Identifying robust survival subgroups of hepatocellular car- index (C-index) ¼ 0.68]. More aggressive subtype is associated cinoma (HCC) will significantly improve patient care. Current- with frequent TP53 inactivation mutations, higher expression ly, endeavor of integrating multi-omicsdatatoexplicitlypredict of stemness markers (KRT19 and EPCAM)andtumormarker HCC survival from multiple patient cohorts is lacking. To fill BIRC5, and activated Wnt and Akt signaling pathways. We this gap, we present a deep learning (DL)–based model on HCC validated this multi-omics model on five external datasets of that robustly differentiates survival subpopulations of patients various omics types: LIRI-JP cohort (n ¼ 230, C-index ¼ 0.75), in six cohorts. We built the DL-based, survival-sensitive model NCI cohort (n ¼ 221, C-index ¼ 0.67), Chinese cohort (n ¼ on 360 HCC patients' data using RNA sequencing (RNA-Seq), 166, C-index ¼ 0.69), E-TABM-36 cohort (n ¼ 40, C-index ¼ miRNA sequencing (miRNA-Seq), and methylation data from 0.77), and Hawaiian cohort (n ¼ 27, C-index ¼ 0.82). This TheCancerGenomeAtlas(TCGA),whichpredictsprognosis is the first study to employ DL to identify multi-omics features as good as an alternative model where genomics and clinical linked to the differential survival of patients with HCC. Given data are both considered. This DL-based model provides two its robustness over multiple cohorts, we expect this workflow to optimal subgroups of patients with significant survival differ- be useful at predicting HCC prognosis prediction. -
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. -
Calprotectin and Calgranulin C Serum Levels in Bacterial Sepsis
Diagnostic Microbiology and Infectious Disease 93 (2019) 219–226 Contents lists available at ScienceDirect Diagnostic Microbiology and Infectious Disease journal homepage: www.elsevier.com/locate/diagmicrobio ☆ Calprotectin and calgranulin C serum levels in bacterial sepsis Eva Bartáková a,MarekŠtefan a,Alžběta Stráníková a, Lenka Pospíšilová b, Simona Arientová a,Ondřej Beran a, Marie Blahutová b, Jan Máca a,c,MichalHoluba,⁎ a Department of Infectious Diseases, First Faculty of Medicine, Charles University and Military University Hospital Prague, U Vojenské nemocnice 1200, 169 02 Praha 6, Czech Republic b Department of Clinical Biochemistry, Military University Hospital Prague, U Vojenské nemocnice 1200, 169 02 Praha 6, Czech Republic c Department of Anesthesiology and Intensive Care Medicine, University Hospital of Ostrava, 17. listopadu 1790/5, 708 52 Ostrava-Poruba, Czech Republic article info abstract Article history: The aim of this study was to evaluate the serum levels of calprotectin and calgranulin C and routine biomarkers in Received 26 March 2018 patients with bacterial sepsis (BS). The initial serum concentrations of calprotectin and calgranulin C were signif- Received in revised form 2 October 2018 icantly higher in patients with BS (n = 66) than in those with viral infections (n = 24) and the healthy controls Accepted 10 October 2018 (n = 26); the level of calprotectin was found to be the best predictor of BS, followed by the neutrophil- Available online 17 October 2018 lymphocyte count ratio (NLCR) and the level of procalcitonin (PCT). The white blood cell (WBC) count and the NLCR rapidly returned to normal levels, whereas PCT levels normalized later and the increased levels of Keywords: Sepsis calprotectin, calgranulin C, and C-reactive protein persisted until the end of follow-up. -
Proteomic Analysis of Two Non-Bronchoscopic Methods of Sampling the Lungs of Patients with the Acute Respiratory Distress Syndrome (ARDS)
Clin Proteom (2007) 3:30–41 DOI 10.1007/s12014-007-9002-8 Proteomic Analysis of Two Non-Bronchoscopic Methods of Sampling the Lungs of Patients with the Acute Respiratory Distress Syndrome (ARDS) Dong W. Chang & Giuseppe Colucci & Tomas Vaisar & Trevor King & Shinichi Hayashi & Gustavo Matute-Bello & Roger Bumgarner & Jay Heinecke & Thomas R. Martin & Guido M. Domenighetti Published online: 5 January 2008 # Humana Press Inc. 2007 Abstract BAL samples, 13.2% were increased in s-Cath compared to Objective The collection of lung fluid using a suction catheter mini-BAL, and 18.4% were decreased in s-Cath compared (s-Cath) and non-bronchoscopic bronchoalveolar lavage to mini-BAL. For each of the seven subjects, overabun- (mini-BAL) are two minimally invasive methods of sampling dance analysis showed that the actual number of differen- the distal airspaces in patients with the acute respiratory tially expressed spots in the mini-BAL and s-Cath sample distress syndrome (ARDS). The objective of this study was to was more than the expected number if the samples were determine the similarity of the lung fluid samples recovered identical. There were nine proteins that were consistently by these methods using proteomic analysis. differentially expressed between the mini-BAL and s-Cath Methods Distal lung fluid samples were collected from samples. Of these nine proteins, five are abundantly found seven mechanically ventilated patients with ARDS using in neutrophils or airway epithelial cells, suggesting that the both s-Cath and mini-BAL in each patient and compared s-Cath may sample the bronchial airways to a greater extent using two-dimensional difference gel electrophoresis. -
WO 2007/056812 Al
(12) INTERNATIONAL APPLICATION PUBLISHED UNDER THE PATENT COOPERATION TREATY (PCT) (19) World Intellectual Property Organization International Bureau (43) International Publication Date (10) International Publication Number 24 May 2007 (24.05.2007) PCT WO 2007/056812 Al (51) International Patent Classification: Victoria 3941 (AU). WHITTAKER, Jason, S. [AU/AU]; C07K 14/54 (2006.01) C07H 21/04 (2006.01) 24 Maddison Street, Redfern East, New South Wales A61K 38/19 (2006.01) C07K 14/52 (2006.01) 2016 (AU). DOMAGALA, Teresa, A. [AU/AU]; 14/30 A61K 38/20 (2006.01) C07K 14/61 (2006.01) Garden Street, Alexandria, New South Wales 2015 (AU). A61K 38/27 (2006.01) C07K 14/715 (2006.01) SIMPSON, Raina, J. [AU/AU]; 10 Snowgum Street, A61P 7/00 (2006.01) C07 /4/72 (2006.01) Acacia Gardens, New South Wales 2763 (AU). A61P 35/00 (2006.01) C07K 19/00 (2006.01) A61P 37/00 (2006.01) GOlN 33/543 (2006.01) (74) Agents: HUGHES, John, E., L. et al.; DAVIES COLLI- C07H 21/02 (2006.01) SON CAVE, 1Nicholson Street, Melbourne, Victoria 3000 (AU). (21) International Application Number: PCT/AU2006/001718 (81) Designated States (unless otherwise indicated, for every kind of national protection available): AE, AG, AL, AM, (22) International Filing Date: AT,AU, AZ, BA, BB, BG, BR, BW, BY, BZ, CA, CH, CN, 16 November 2006 (16.1 1.2006) CO, CR, CU, CZ, DE, DK, DM, DZ, EC, EE, EG, ES, FI, GB, GD, GE, GH, GM, GT, HN, HR, HU, ID, IL, IN, IS, (25) Filing Language: English JP, KE, KG, KM, KN, KP, KR, KZ, LA, LC, LK, LR, LS, LT, LU, LV,LY,MA, MD, MG, MK, MN, MW, MX, MY, (26) -
The Roles of Calprotectin and Calgranulin C in <I>Campylobacter Jejuni</I>
University of Tennessee, Knoxville TRACE: Tennessee Research and Creative Exchange Masters Theses Graduate School 12-2017 The Roles of Calprotectin and Calgranulin C in Campylobacter jejuni Infection Janette Marie Shank University of Tennessee, [email protected] Follow this and additional works at: https://trace.tennessee.edu/utk_gradthes Recommended Citation Shank, Janette Marie, "The Roles of Calprotectin and Calgranulin C in Campylobacter jejuni Infection. " Master's Thesis, University of Tennessee, 2017. https://trace.tennessee.edu/utk_gradthes/5001 This Thesis is brought to you for free and open access by the Graduate School at TRACE: Tennessee Research and Creative Exchange. It has been accepted for inclusion in Masters Theses by an authorized administrator of TRACE: Tennessee Research and Creative Exchange. For more information, please contact [email protected]. To the Graduate Council: I am submitting herewith a thesis written by Janette Marie Shank entitled "The Roles of Calprotectin and Calgranulin C in Campylobacter jejuni Infection." I have examined the final electronic copy of this thesis for form and content and recommend that it be accepted in partial fulfillment of the equirr ements for the degree of Master of Science, with a major in Microbiology. Jeremiah G. Johnson, Major Professor We have read this thesis and recommend its acceptance: Sarah L. Lebeis, Todd B. Reynolds Accepted for the Council: Dixie L. Thompson Vice Provost and Dean of the Graduate School (Original signatures are on file with official studentecor r ds.) The Roles of Calprotectin and Calgranulin C in Campylobacter jejuni Infection A Thesis Presented for the Master of Science Degree The University of Tennessee, Knoxville Janette Marie Shank December 2017 Copyright © 2017 by Janette M. -
Supplementary Table S4. FGA Co-Expressed Gene List in LUAD
Supplementary Table S4. FGA co-expressed gene list in LUAD tumors Symbol R Locus Description FGG 0.919 4q28 fibrinogen gamma chain FGL1 0.635 8p22 fibrinogen-like 1 SLC7A2 0.536 8p22 solute carrier family 7 (cationic amino acid transporter, y+ system), member 2 DUSP4 0.521 8p12-p11 dual specificity phosphatase 4 HAL 0.51 12q22-q24.1histidine ammonia-lyase PDE4D 0.499 5q12 phosphodiesterase 4D, cAMP-specific FURIN 0.497 15q26.1 furin (paired basic amino acid cleaving enzyme) CPS1 0.49 2q35 carbamoyl-phosphate synthase 1, mitochondrial TESC 0.478 12q24.22 tescalcin INHA 0.465 2q35 inhibin, alpha S100P 0.461 4p16 S100 calcium binding protein P VPS37A 0.447 8p22 vacuolar protein sorting 37 homolog A (S. cerevisiae) SLC16A14 0.447 2q36.3 solute carrier family 16, member 14 PPARGC1A 0.443 4p15.1 peroxisome proliferator-activated receptor gamma, coactivator 1 alpha SIK1 0.435 21q22.3 salt-inducible kinase 1 IRS2 0.434 13q34 insulin receptor substrate 2 RND1 0.433 12q12 Rho family GTPase 1 HGD 0.433 3q13.33 homogentisate 1,2-dioxygenase PTP4A1 0.432 6q12 protein tyrosine phosphatase type IVA, member 1 C8orf4 0.428 8p11.2 chromosome 8 open reading frame 4 DDC 0.427 7p12.2 dopa decarboxylase (aromatic L-amino acid decarboxylase) TACC2 0.427 10q26 transforming, acidic coiled-coil containing protein 2 MUC13 0.422 3q21.2 mucin 13, cell surface associated C5 0.412 9q33-q34 complement component 5 NR4A2 0.412 2q22-q23 nuclear receptor subfamily 4, group A, member 2 EYS 0.411 6q12 eyes shut homolog (Drosophila) GPX2 0.406 14q24.1 glutathione peroxidase -
Serial Analysis of Gene Expression in Normal P53 Null Mammary Epithelium
Oncogene (2002) 21, 6366 – 6376 ª 2002 Nature Publishing Group All rights reserved 0950 – 9232/02 $25.00 www.nature.com/onc Serial analysis of gene expression in normal p53 null mammary epithelium C Marcelo Aldaz*,1, Yuhui Hu1, Rachael Daniel1, Sally Gaddis1, Frances Kittrell2 and Daniel Medina2 1The University of Texas M.D. Anderson Cancer Center, Department of Carcinogenesis, Smithville, Texas, TX 78957, USA; 2Baylor College of Medicine Department of Molecular and Cellular Biology, Houston, Texas, TX 77030, USA Much evidence has accumulated implicating the p53 gene function although activating mutations were also as of importance in breast carcinogenesis. However, observed. Usually p53 abnormalities associate with much still remains to be uncovered on the specific poorer clinical outcome. This, likely, is the consequence downstream pathways influenced by this important of the known critical roles of p53 in regulating the cell activator/repressor of transcription. This study investi- cycle, apoptosis, DNA repair and maintaining genome gated the effects of a p53 null genotype on the stability (Levine, 1997). The loss of wild type p53 transcriptome of ‘normal’ mouse mammary epithelium function is clearly an important event in breast using a unique in vivo model of preneoplastic transforma- tumorigenesis as documented both in human and murine tion. We used SAGE for the comparative analysis of p53 systems (Donehower et al., 1995; Elledge and Allred, wild type (wt) and null mammary epithelium unexposed 1994). However, the exact mechanisms by which such and exposed to hormonal stimulation. Analysis of the lack of normal gene function leads to cancer formation hormone exposed samples provided a comprehensive view and progression are only beginning to be understood. -
Whole Exome Sequencing in Families at High Risk for Hodgkin Lymphoma: Identification of a Predisposing Mutation in the KDR Gene
Hodgkin Lymphoma SUPPLEMENTARY APPENDIX Whole exome sequencing in families at high risk for Hodgkin lymphoma: identification of a predisposing mutation in the KDR gene Melissa Rotunno, 1 Mary L. McMaster, 1 Joseph Boland, 2 Sara Bass, 2 Xijun Zhang, 2 Laurie Burdett, 2 Belynda Hicks, 2 Sarangan Ravichandran, 3 Brian T. Luke, 3 Meredith Yeager, 2 Laura Fontaine, 4 Paula L. Hyland, 1 Alisa M. Goldstein, 1 NCI DCEG Cancer Sequencing Working Group, NCI DCEG Cancer Genomics Research Laboratory, Stephen J. Chanock, 5 Neil E. Caporaso, 1 Margaret A. Tucker, 6 and Lynn R. Goldin 1 1Genetic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 2Cancer Genomics Research Laboratory, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; 3Ad - vanced Biomedical Computing Center, Leidos Biomedical Research Inc.; Frederick National Laboratory for Cancer Research, Frederick, MD; 4Westat, Inc., Rockville MD; 5Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD; and 6Human Genetics Program, Division of Cancer Epidemiology and Genetics, National Cancer Institute, NIH, Bethesda, MD, USA ©2016 Ferrata Storti Foundation. This is an open-access paper. doi:10.3324/haematol.2015.135475 Received: August 19, 2015. Accepted: January 7, 2016. Pre-published: June 13, 2016. Correspondence: [email protected] Supplemental Author Information: NCI DCEG Cancer Sequencing Working Group: Mark H. Greene, Allan Hildesheim, Nan Hu, Maria Theresa Landi, Jennifer Loud, Phuong Mai, Lisa Mirabello, Lindsay Morton, Dilys Parry, Anand Pathak, Douglas R. Stewart, Philip R. Taylor, Geoffrey S. Tobias, Xiaohong R. Yang, Guoqin Yu NCI DCEG Cancer Genomics Research Laboratory: Salma Chowdhury, Michael Cullen, Casey Dagnall, Herbert Higson, Amy A. -
Gene Expression Signatures and Biomarkers of Noninvasive And
Oncogene (2006) 25, 2328–2338 & 2006 Nature Publishing Group All rights reserved 0950-9232/06 $30.00 www.nature.com/onc ORIGINAL ARTICLE Gene expression signatures and biomarkers of noninvasive and invasive breast cancer cells: comprehensive profiles by representational difference analysis, microarrays and proteomics GM Nagaraja1, M Othman2, BP Fox1, R Alsaber1, CM Pellegrino3, Y Zeng2, R Khanna2, P Tamburini3, A Swaroop2 and RP Kandpal1 1Department of Biological Sciences, Fordham University, Bronx, NY, USA; 2Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, MI, USA and 3Bayer Corporation, West Haven, CT, USA We have characterized comprehensive transcript and Keywords: representational difference analysis; micro- proteomic profiles of cell lines corresponding to normal arrays; proteomics; breast carcinoma; biomarkers; breast (MCF10A), noninvasive breast cancer (MCF7) and copper homeostasis invasive breast cancer (MDA-MB-231). The transcript profiles were first analysed by a modified protocol for representational difference analysis (RDA) of cDNAs between MCF7 and MDA-MB-231 cells. The majority of genes identified by RDA showed nearly complete con- Introduction cordance withmicroarray results, and also led to the identification of some differentially expressed genes such The transformation of a normal cell into a cancer cell as lysyl oxidase, copper transporter ATP7A, EphB6, has been correlated to altered expression of a variety of RUNX2 and a variant of RUNX2. The altered transcripts genes (Perou et al., 2000; Becker et al., 2005). The identified by microarray analysis were involved in cell–cell expression of some of these genes is a direct result of or cell–matrix interaction, Rho signaling, calcium home- sequence mutation, whereas other changes occur due to ostasis and copper-binding/sensitive activities. -
Protein Expression Profiles in Pancreatic Adenocarcinoma
[CANCER RESEARCH 64, 9018–9026, December 15, 2004] Protein Expression Profiles in Pancreatic Adenocarcinoma Compared with Normal Pancreatic Tissue and Tissue Affected by Pancreatitis as Detected by Two- Dimensional Gel Electrophoresis and Mass Spectrometry Jianjun Shen,1 Maria D. Person,2 Jijiang Zhu,3 James L. Abbruzzese,3 and Donghui Li3 1Department of Carcinogenesis, Science Park-Research Division, The University of Texas M. D. Anderson Cancer Center, Smithville, Texas; 2Division of Pharmacology and Toxicology, The University of Texas, Austin, Texas; and 3Department of Gastrointestinal Medical Oncology, The University of Texas M. D. Anderson Cancer Center, Houston, Texas ABSTRACT revealed a large number of differentially expressed genes but little overlap of identified genes among various gene expression ap- Pancreatic cancer is a rapidly fatal disease, and there is an urgent need proaches. Furthermore, although genetic mutation and/or errant gene for early detection markers and novel therapeutic targets. The current expression may underlie a disease, the biochemical bases for most study has used a proteomic approach of two-dimensional (2D) gel elec- trophoresis and mass spectrometry (MS) to identify differentially ex- diseases are caused by protein defects. Therefore, profiling differen- pressed proteins in six cases of pancreatic adenocarcinoma, two normal tially expressed proteins is perhaps the most important and useful adjacent tissues, seven cases of pancreatitis, and six normal pancreatic approach in development of diagnostic screening and therapeutic tissues. Protein extracts of individual sample and pooled samples of each techniques. type of tissues were separated on 2D gels using two different pH ranges. The proteomic approach has offered many opportunities and chal- Differentially expressed protein spots were in-gel digested and identified lenges in identifying new tumor markers and therapeutic targets and in by MS. -
CDG and Immune Response: from Bedside to Bench and Back Authors
CDG and immune response: From bedside to bench and back 1,2,3 1,2,3,* 2,3 1,2 Authors: Carlota Pascoal , Rita Francisco , Tiago Ferro , Vanessa dos Reis Ferreira , Jaak Jaeken2,4, Paula A. Videira1,2,3 *The authors equally contributed to this work. 1 Portuguese Association for CDG, Lisboa, Portugal 2 CDG & Allies – Professionals and Patient Associations International Network (CDG & Allies – PPAIN), Caparica, Portugal 3 UCIBIO, Departamento Ciências da Vida, Faculdade de Ciências e Tecnologia, Universidade NOVA de Lisboa, 2829-516 Caparica, Portugal 4 Center for Metabolic Diseases, UZ and KU Leuven, Leuven, Belgium Word count: 7478 Number of figures: 2 Number of tables: 3 This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as doi: 10.1002/jimd.12126 This article is protected by copyright. All rights reserved. Abstract Glycosylation is an essential biological process that adds structural and functional diversity to cells and molecules, participating in physiological processes such as immunity. The immune response is driven and modulated by protein-attached glycans that mediate cell-cell interactions, pathogen recognition and cell activation. Therefore, abnormal glycosylation can be associated with deranged immune responses. Within human diseases presenting immunological defects are Congenital Disorders of Glycosylation (CDG), a family of around 130 rare and complex genetic diseases. In this review, we have identified 23 CDG with immunological involvement, characterised by an increased propensity to – often life-threatening – infection.