Changes in Serum and Salivary Proteins in Canine Mammary Tumors
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
1 1 Alpha-Smooth Muscle Actin (ACTA2) Is Required for Metastatic Potential of Human 1 Lung Adenocarcinoma 2 3 Hye Won Lee*1,2,3
Author Manuscript Published OnlineFirst on August 30, 2013; DOI: 10.1158/1078-0432.CCR-13-1181 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. 1 1 Alpha-smooth muscle actin (ACTA2) is required for metastatic potential of human 2 lung adenocarcinoma 3 4 Hye Won Lee*1,2,3, Young Mi Park*3,4, Se Jeong Lee1,4,5, Hyun Jung Cho1,2, Duk-Hwan Kim6,7, 5 Jung-Il Lee2, Myung-Soo Kang3, Ho Jun Seol2, Young Mog Shim8, Do-Hyun Nam1,2,3, Hyeon 6 Ho Kim3,4, Kyeung Min Joo1,3,4,5 7 8 Authors’ Affiliations: 9 1Cancer Stem Cell Research Center, 2Department of Neurosurgery, 3Department of Health 10 Sciences and Technology, Samsung Advanced Institute for Health Sciences and 11 Technology (SAIHST), 4Samsung Biomedical Research Institute, 5Department of Anatomy 12 and Cell Biology, 6Department of Molecular Cell Biology, 7Center for Genome Research, 13 8Department of Thoracic Surgery, Samsung Medical Center, Sungkyunkwan University 14 School of Medicine, Seoul, Korea 15 16 *These authors contributed equally to this work. 17 18 Running title: ACTA2 confers metastatic potential on lung adenocarcinoma 19 Keywords: Non-small cell lung adenocarcinoma, alpha-smooth muscle actin, migration, 20 invasion, metastasis 1 Downloaded from clincancerres.aacrjournals.org on September 26, 2021. © 2013 American Association for Cancer Research. Author Manuscript Published OnlineFirst on August 30, 2013; DOI: 10.1158/1078-0432.CCR-13-1181 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. 2 1 Financial support: This study was supported by a grant from the Korea Healthcare 2 Technology R&D Project, Ministry for Health & Welfare Affairs, Republic of Korea (A092255), 3 and the Basic Science Research Program, National Research Foundation of Korea by the 4 Ministry of Education, Science, and Technology (2011-009329 to H. -
Oral Absorption of Peptides and Nanoparticles Across the Human Intestine: Opportunities, Limitations and Studies in Human Tissues☆
Advanced Drug Delivery Reviews 106 (2016) 256–276 Contents lists available at ScienceDirect Advanced Drug Delivery Reviews journal homepage: www.elsevier.com/locate/addr Oral absorption of peptides and nanoparticles across the human intestine: Opportunities, limitations and studies in human tissues☆ P. Lundquist, P. Artursson ⁎ Department of Pharmacy, Uppsala University, Box 580, SE-752 37 Uppsala, Sweden article info abstract Article history: In this contribution, we review the molecular and physiological barriers to oral delivery of peptides and nanopar- Received 2 May 2016 ticles. We discuss the opportunities and predictivity of various in vitro systems with special emphasis on human Received in revised form 2 July 2016 intestine in Ussing chambers. First, the molecular constraints to peptide absorption are discussed. Then the phys- Accepted 8 July 2016 iological barriers to peptide delivery are examined. These include the gastric and intestinal environment, the Available online 3 August 2016 mucus barrier, tight junctions between epithelial cells, the enterocytes of the intestinal epithelium, and the Keywords: subepithelial tissue. Recent data from human proteome studies are used to provide information about the protein fi Oral drug delivery expression pro les of the different physiological barriers to peptide and nanoparticle absorption. Strategies that Peptide drugs have been employed to increase peptide absorption across each of the barriers are discussed. Special consider- Nanoparticles ation is given to attempts at utilizing endogenous transcytotic pathways. To reliably translate in vitro data on Ussing chamber peptide or nanoparticle permeability to the in vivo situation in a human subject, the in vitro experimental system Peptide permeability needs to realistically capture the central aspects of the mentioned barriers. -
Propranolol-Mediated Attenuation of MMP-9 Excretion in Infants with Hemangiomas
Supplementary Online Content Thaivalappil S, Bauman N, Saieg A, Movius E, Brown KJ, Preciado D. Propranolol-mediated attenuation of MMP-9 excretion in infants with hemangiomas. JAMA Otolaryngol Head Neck Surg. doi:10.1001/jamaoto.2013.4773 eTable. List of All of the Proteins Identified by Proteomics This supplementary material has been provided by the authors to give readers additional information about their work. © 2013 American Medical Association. All rights reserved. Downloaded From: https://jamanetwork.com/ on 10/01/2021 eTable. List of All of the Proteins Identified by Proteomics Protein Name Prop 12 mo/4 Pred 12 mo/4 Δ Prop to Pred mo mo Myeloperoxidase OS=Homo sapiens GN=MPO 26.00 143.00 ‐117.00 Lactotransferrin OS=Homo sapiens GN=LTF 114.00 205.50 ‐91.50 Matrix metalloproteinase‐9 OS=Homo sapiens GN=MMP9 5.00 36.00 ‐31.00 Neutrophil elastase OS=Homo sapiens GN=ELANE 24.00 48.00 ‐24.00 Bleomycin hydrolase OS=Homo sapiens GN=BLMH 3.00 25.00 ‐22.00 CAP7_HUMAN Azurocidin OS=Homo sapiens GN=AZU1 PE=1 SV=3 4.00 26.00 ‐22.00 S10A8_HUMAN Protein S100‐A8 OS=Homo sapiens GN=S100A8 PE=1 14.67 30.50 ‐15.83 SV=1 IL1F9_HUMAN Interleukin‐1 family member 9 OS=Homo sapiens 1.00 15.00 ‐14.00 GN=IL1F9 PE=1 SV=1 MUC5B_HUMAN Mucin‐5B OS=Homo sapiens GN=MUC5B PE=1 SV=3 2.00 14.00 ‐12.00 MUC4_HUMAN Mucin‐4 OS=Homo sapiens GN=MUC4 PE=1 SV=3 1.00 12.00 ‐11.00 HRG_HUMAN Histidine‐rich glycoprotein OS=Homo sapiens GN=HRG 1.00 12.00 ‐11.00 PE=1 SV=1 TKT_HUMAN Transketolase OS=Homo sapiens GN=TKT PE=1 SV=3 17.00 28.00 ‐11.00 CATG_HUMAN Cathepsin G OS=Homo -
Transcriptional Mechanisms of Resistance to Anti-PD-1 Therapy
Author Manuscript Published OnlineFirst on February 13, 2017; DOI: 10.1158/1078-0432.CCR-17-0270 Author manuscripts have been peer reviewed and accepted for publication but have not yet been edited. Transcriptional mechanisms of resistance to anti-PD-1 therapy Maria L. Ascierto1, Alvin Makohon-Moore2, 11, Evan J. Lipson1, Janis M. Taube3,4, Tracee L. McMiller5, Alan E. Berger6, Jinshui Fan6, Genevieve J. Kaunitz3, Tricia R. Cottrell4, Zachary A. Kohutek7, Alexander Favorov8,10, Vladimir Makarov7,11, Nadeem Riaz7,11, Timothy A. Chan7,11, Leslie Cope8, Ralph H. Hruban4,9, Drew M. Pardoll1, Barry S. Taylor11,12,13, David B. Solit13, Christine A Iacobuzio-Donahue2,11, and Suzanne L. Topalian5 From the 1Departments of Oncology, 3Dermatology, 4Pathology, 5Surgery, 6The Lowe Family Genomics Core, 8Oncology Bioinformatics Core, and the 9 Sol Goldman Pancreatic Cancer Research Center, Johns Hopkins University School of Medicine and Sidney Kimmel Comprehensive Cancer Center, Baltimore, MD 21287; the 10Laboratory of System Biology and Computational Genetics, Vavilov Institute of General Genetics, Russian Academy of Sciences, 119991, Moscow, Russia; and 2Pathology, 7Radiation Oncology, 11Human Oncology and Pathogenesis Program, 12Department of Epidemiology and Biostatistics, and the 13Center for Molecular Oncology, Memorial Sloan Kettering Cancer Center, New York NY 10065. MLA, AM-M, EJL, and JMT contributed equally to this work Running title: Transcriptional mechanisms of resistance to anti-PD-1 Key Words: melanoma, cancer genetics, immunotherapy, anti-PD-1 Financial Support: This study was supported by the Melanoma Research Alliance (to SLT and CI-D), the Bloomberg~Kimmel Institute for Cancer Immunotherapy (to JMT, DMP, and SLT), the Barney Family Foundation (to SLT), Moving for Melanoma of Delaware (to SLT), the 1 Downloaded from clincancerres.aacrjournals.org on October 2, 2021. -
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. -
Remote Ischemic Preconditioning (RIPC) Modifies Plasma Proteome in Humans
Remote Ischemic Preconditioning (RIPC) Modifies Plasma Proteome in Humans Michele Hepponstall1,2,3,4, Vera Ignjatovic1,3, Steve Binos4, Paul Monagle1,3, Bryn Jones1,2, Michael H. H. Cheung1,2,3, Yves d’Udekem1,2, Igor E. Konstantinov1,2,3* 1 Haematology Research, Murdoch Childrens Research Institute; Melbourne, Victoria, Australia, 2 Cardiac Surgery Unit and Cardiology, Royal Children’s Hospital; Melbourne, Victoria, Australia, 3 Department of Paediatrics, The University of Melbourne; Melbourne, Victoria, Australia, 4 Bioscience Research Division, Department of Primary Industries, Melbourne, Victoria, Australia Abstract Remote Ischemic Preconditioning (RIPC) induced by brief episodes of ischemia of the limb protects against multi-organ damage by ischemia-reperfusion (IR). Although it has been demonstrated that RIPC affects gene expression, the proteomic response to RIPC has not been determined. This study aimed to examine RIPC induced changes in the plasma proteome. Five healthy adult volunteers had 4 cycles of 5 min ischemia alternating with 5 min reperfusion of the forearm. Blood samples were taken from the ipsilateral arm prior to first ischaemia, immediately after each episode of ischemia as well as, at 15 min and 24 h after the last episode of ischemia. Plasma samples from five individuals were analysed using two complementary techniques. Individual samples were analysed using 2Dimensional Difference in gel electrophoresis (2D DIGE) and mass spectrometry (MS). Pooled samples for each of the time-points underwent trypsin digestion and peptides generated were analysed in triplicate using Liquid Chromatography and MS (LC-MS). Six proteins changed in response to RIPC using 2D DIGE analysis, while 48 proteins were found to be differentially regulated using LC-MS. -
Key Pathways Involved in Prostate Cancer Based on Gene Set Enrichment Analysis and Meta Analysis
Key pathways involved in prostate cancer based on gene set enrichment analysis and meta analysis Q.Y. Ning1, J.Z. Wu1, N. Zang2, J. Liang3, Y.L. Hu2 and Z.N. Mo4 1Department of Infection, The First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China 2The Medical Scientific Research Centre, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China 3Department of Biology Technology, Guilin Medical University, Guilin, Guangxi Zhuang Autonomous Region, China 4Department of Urology, the First Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China Corresponding authors: Y.L. Hu / Z.N. Mo E-mail: [email protected] / [email protected] Genet. Mol. Res. 10 (4): 3856-3887 (2011) Received June 7, 2011 Accepted October 14, 2011 Published December 14, 2011 DOI http://dx.doi.org/10.4238/2011.December.14.10 ABSTRACT. Prostate cancer is one of the most common male malignant neoplasms; however, its causes are not completely understood. A few recent studies have used gene expression profiling of prostate cancer to identify differentially expressed genes and possible relevant pathways. However, few studies have examined the genetic mechanics of prostate cancer at the pathway level to search for such pathways. We used gene set enrichment analysis and a meta-analysis of six independent studies after standardized microarray preprocessing, which increased concordance between these gene datasets. Based on gene set enrichment analysis, there were 12 down- and 25 up-regulated mixing pathways in more than two tissue datasets, while there were two down- and two up-regulated mixing pathways in three cell datasets. -
Evaluation of Chromatin Accessibility in Prefrontal Cortex of Individuals with Schizophrenia
ARTICLE DOI: 10.1038/s41467-018-05379-y OPEN Evaluation of chromatin accessibility in prefrontal cortex of individuals with schizophrenia Julien Bryois 1, Melanie E. Garrett2, Lingyun Song3, Alexias Safi3, Paola Giusti-Rodriguez 4, Graham D. Johnson 3, Annie W. Shieh13, Alfonso Buil5, John F. Fullard6, Panos Roussos 6,7,8, Pamela Sklar6, Schahram Akbarian 6, Vahram Haroutunian 6,9, Craig A. Stockmeier 10, Gregory A. Wray3,11, Kevin P. White12, Chunyu Liu13, Timothy E. Reddy 3,14, Allison Ashley-Koch2,15, Patrick F. Sullivan 1,4,16 & Gregory E. Crawford 3,17 1234567890():,; Schizophrenia genome-wide association studies have identified >150 regions of the genome associated with disease risk, yet there is little evidence that coding mutations contribute to this disorder. To explore the mechanism of non-coding regulatory elements in schizophrenia, we performed ATAC-seq on adult prefrontal cortex brain samples from 135 individuals with schizophrenia and 137 controls, and identified 118,152 ATAC-seq peaks. These accessible chromatin regions in the brain are highly enriched for schizophrenia SNP heritability. Accessible chromatin regions that overlap evolutionarily conserved regions exhibit an even higher heritability enrichment, indicating that sequence conservation can further refine functional risk variants. We identify few differences in chromatin accessibility between cases and controls, in contrast to thousands of age-related differential accessible chromatin regions. Altogether, we characterize chromatin accessibility in the human prefrontal cortex, the effect of schizophrenia and age on chromatin accessibility, and provide evidence that our dataset will allow for fine mapping of risk variants. 1 Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, SE-17177 Stockholm, Sweden. -
Supplementary Materials
1 Supplementary Materials: Supplemental Figure 1. Gene expression profiles of kidneys in the Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice. (A) A heat map of microarray data show the genes that significantly changed up to 2 fold compared between Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice (N=4 mice per group; p<0.05). Data show in log2 (sample/wild-type). 2 Supplemental Figure 2. Sting signaling is essential for immuno-phenotypes of the Fcgr2b-/-lupus mice. (A-C) Flow cytometry analysis of splenocytes isolated from wild-type, Fcgr2b-/- and Fcgr2b-/-. Stinggt/gt mice at the age of 6-7 months (N= 13-14 per group). Data shown in the percentage of (A) CD4+ ICOS+ cells, (B) B220+ I-Ab+ cells and (C) CD138+ cells. Data show as mean ± SEM (*p < 0.05, **p<0.01 and ***p<0.001). 3 Supplemental Figure 3. Phenotypes of Sting activated dendritic cells. (A) Representative of western blot analysis from immunoprecipitation with Sting of Fcgr2b-/- mice (N= 4). The band was shown in STING protein of activated BMDC with DMXAA at 0, 3 and 6 hr. and phosphorylation of STING at Ser357. (B) Mass spectra of phosphorylation of STING at Ser357 of activated BMDC from Fcgr2b-/- mice after stimulated with DMXAA for 3 hour and followed by immunoprecipitation with STING. (C) Sting-activated BMDC were co-cultured with LYN inhibitor PP2 and analyzed by flow cytometry, which showed the mean fluorescence intensity (MFI) of IAb expressing DC (N = 3 mice per group). 4 Supplemental Table 1. Lists of up and down of regulated proteins Accession No. -
Identification of an FHL1 Protein Complex Containing Gamma-Actin and Non-Muscle Myosin IIB by Analysis of Protein-Protein Interactions
Identification of an FHL1 Protein Complex Containing Gamma-Actin and Non-Muscle Myosin IIB by Analysis of Protein-Protein Interactions Lili Wang1*, Jianing Miao1, Lianyong Li2,DiWu1, Yi Zhang1, Zhaohong Peng1, Lijun Zhang2, Zhengwei Yuan1, Kailai Sun3 1 Key Laboratory of Health ~Ministry for Congenital Malformation, Shengjing Hospital, China Medical University, Shenyang, China, 2 Department of Pediatric Surgery, Shengjing Hospital, China Medical University, Shenyang, China, 3 Department of Medical Genetics, China Medical University, Shenyang, China Abstract FHL1 is multifunctional and serves as a modular protein binding interface to mediate protein-protein interactions. In skeletal muscle, FHL1 is involved in sarcomere assembly, differentiation, growth, and biomechanical stress. Muscle abnormalities may play a major role in congenital clubfoot (CCF) deformity during fetal development. Thus, identifying the interactions of FHL1 could provide important new insights into its functional role in both skeletal muscle development and CCF pathogenesis. Using proteins derived from rat L6GNR4 myoblastocytes, we detected FHL1 interacting proteins by immunoprecipitation. Samples were analyzed by liquid chromatography mass spectrometry (LC-MS). Dynamic gene expression of FHL1 was studied. Additionally, the expression of the possible interacting proteins gamma-actin and non- muscle myosin IIB, which were isolated from the lower limbs of E14, E15, E17, E18, E20 rat embryos or from adult skeletal muscle was analyzed. Potential interacting proteins isolated from E17 lower limbs were verified by immunoprecipitation, and co-localization in adult gastrocnemius muscle was visualized by fluorescence microscopy. FHL1 expression was associated with skeletal muscle differentiation. E17 was found to be the critical time-point for skeletal muscle differentiation in the lower limbs of rat embryos. -
Mucin Family Genes Are Downregulated in Colorectal
ooggeenneessii iinn ss && rrcc aa MM CC uu tt ff aa Journal ofJournal of oo gg Aziz et al., J Carcinogene Mutagene 2014, S10 ll ee ee aa aa nn nn nn nn ee ee rr rr ss ss uu uu ii ii ss ss oo oo DOI: 4172/2157-2518.S10-009 JJ JJ ISSN: 2157-2518 CarCarcinogenesiscinogenesis & Mutagenesis Research Article Article OpenOpen Access Access Mucin Family Genes are Downregulated in Colorectal Cancer Patients Mohammad Azhar Aziz*, Majed AlOtaibi, Abdulkareem AlAbdulrahman, Mohammed AlDrees and Ibrahim AlAbdulkarim Department of Medical Genomics, KIng Abdullah Intl. Med. Res. Ctr., King Saud Bin Abdul Aziz University for Health Sciences, Riyadh, Saudi Arabia Abstract Mucins are very well known to be associated with different types of cancer. Their role in colorectal cancer has been extensively studied without direct correlation with their change in expression levels. In the present study we employed the human exon array from Affymetrix to provide evidence that mucin family genes are downregulated in colorectal cancer tumor samples. We analyzed 92 samples taken from normal and tumor tissues. All mucin family genes except MUCL1 were downregulated with the fold change value ranging from -3.53 to 1.78 as calculated using AltAnalyze software. Maximum drop in RNA transcripts were observed for MUC2 with a fold change of -3.53. Further, we carried out Integromics analysis to analyze mucin genes using hierarchical clustering. MUC1 and MUC4 were found to be potential biomarkers for human colorectal cancer. Top upstream regulators were identified for mucin genes. Network analyses were carried out to further our understanding about potential mechanisms by which mucins can be involved in causing colorectal cancer. -
Structural and Biochemical Changes Underlying a Keratoderma-Like Phenotype in Mice Lacking Suprabasal AP1 Transcription Factor Function
Citation: Cell Death and Disease (2015) 6, e1647; doi:10.1038/cddis.2015.21 OPEN & 2015 Macmillan Publishers Limited All rights reserved 2041-4889/15 www.nature.com/cddis Structural and biochemical changes underlying a keratoderma-like phenotype in mice lacking suprabasal AP1 transcription factor function EA Rorke*,1, G Adhikary2, CA Young2, RH Rice3, PM Elias4, D Crumrine4, J Meyer4, M Blumenberg5 and RL Eckert2,6,7,8 Epidermal keratinocyte differentiation on the body surface is a carefully choreographed process that leads to assembly of a barrier that is essential for life. Perturbation of keratinocyte differentiation leads to disease. Activator protein 1 (AP1) transcription factors are key controllers of this process. We have shown that inhibiting AP1 transcription factor activity in the suprabasal murine epidermis, by expression of dominant-negative c-jun (TAM67), produces a phenotype type that resembles human keratoderma. However, little is understood regarding the structural and molecular changes that drive this phenotype. In the present study we show that TAM67-positive epidermis displays altered cornified envelope, filaggrin-type keratohyalin granule, keratin filament, desmosome formation and lamellar body secretion leading to reduced barrier integrity. To understand the molecular changes underlying this process, we performed proteomic and RNA array analysis. Proteomic study of the corneocyte cross-linked proteome reveals a reduction in incorporation of cutaneous keratins, filaggrin, filaggrin2, late cornified envelope precursor proteins, hair keratins and hair keratin-associated proteins. This is coupled with increased incorporation of desmosome linker, small proline-rich, S100, transglutaminase and inflammation-associated proteins. Incorporation of most cutaneous keratins (Krt1, Krt5 and Krt10) is reduced, but incorporation of hyperproliferation-associated epidermal keratins (Krt6a, Krt6b and Krt16) is increased.