Inactivates Neutrophil Proteins S100A8/A9 Bacterial Surface
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Datasheet: VMA00595 Product Details
Datasheet: VMA00595 Description: MOUSE ANTI S100A8 Specificity: S100A8 Format: Purified Product Type: PrecisionAb™ Monoclonal Isotype: IgG2b Quantity: 100 µl Product Details Applications This product has been reported to work in the following applications. This information is derived from testing within our laboratories, peer-reviewed publications or personal communications from the originators. Please refer to references indicated for further information. For general protocol recommendations, please visit www.bio-rad-antibodies.com/protocols. Yes No Not Determined Suggested Dilution Western Blotting 1/1000 PrecisionAb antibodies have been extensively validated for the western blot application. The antibody has been validated at the suggested dilution. Where this product has not been tested for use in a particular technique this does not necessarily exclude its use in such procedures. Further optimization may be required dependant on sample type. Target Species Human Species Cross Reacts with: Mouse Reactivity N.B. Antibody reactivity and working conditions may vary between species. Product Form Purified IgG - liquid Preparation Mouse monoclonal antibody affinity purified on immunogen from tissue culture supernatant Buffer Solution Phosphate buffered saline Preservative 0.09% Sodium Azide (NaN3) Stabilisers 1% Bovine Serum Albumin Immunogen Full length recombinant human S100A8 External Database Links UniProt: P05109 Related reagents Entrez Gene: 6279 S100A8 Related reagents Synonyms CAGA, CFAG, MRP8 Page 1 of 2 Specificity Mouse anti Human S100A8 antibody recognizes S100A8, also known as MRP-8, S100 calcium- binding protein A8 (calgranulin A), calprotectin L1L subunit, leukocyte L1 complex light chain or migration inhibitory factor-related protein 8. The protein encoded by S100A8 is a member of the S100 family of proteins containing 2 EF-hand calcium-binding motifs. -
A Novel Computational Algorithm for Predicting Immune Cell Types Using Single-Cell RNA Sequencing Data
A novel computational algorithm for predicting immune cell types using single-cell RNA sequencing data By Shuo Jia A hesis submitted to the Faculty of Graduate Studies of The University of Manitoba n partial fulfillment of the requirements of the degree of MASTER OF SCIENCE Department of Biochemistry and Medical Genetics University of Manitoba Winnipeg, Manitoba, Canada Copyright © 2020 by Shuo Jia Abstract Background: Cells from our immune system detect and kill pathogens to protect our body against many diseases. However, current methods for determining cell types have some major limitations, such as being time-consuming and with low throughput rate, etc. These problems stack up and hinder the deep exploration of cellular heterogeneity. Immune cells that are associated with cancer tissues play a critical role in revealing the stages of tumor development. Identifying the immune composition within tumor microenvironments in a timely manner will be helpful to improve clinical prognosis and therapeutic management for cancer. Single-cell RNA sequencing (scRNA-seq), an RNA sequencing (RNA-seq) technique that focuses on a single cell level, has provided us with the ability to conduct cell type classification. Although unsupervised clustering approaches are the major methods for analyzing scRNA-seq datasets, their results vary among studies with different input parameters and sizes. However, in supervised machine learning methods, information loss and low prediction accuracy are the key limitations. Methods and Results: Genes in the human genome align to chromosomes in a particular order. Hence, we hypothesize incorporating this information into our model will potentially improve the cell type classification performance. In order to utilize gene positional information, we introduce chromosome-based neural network, namely ChrNet, a novel chromosome-specific re-trainable supervised learning method based on a one-dimensional 1 convolutional neural network (1D-CNN). -
Pierce™ Chromatography Cartridges Protein L
INSTRUCTIONS Pierce ™ Chromatography Cartridges Protein L 1971.1 89928 89929 Number Description 89928 Pierce Chromatography Cartridges Protein L, 2 × 1mL 89929 Pierce Chromatography Cartridges Protein L, 1 × 5mL Binding Capacity: 4-5mg human IgG/mL of resin bed Note: Protein L is immobilized on crosslinked 6% beaded agarose supplied in 0.05% sodium azide in water. Each product is supplied with an accessory pack (1 female Luer-Lok™ Adapter, 1 connector fitting, 1 column plug and 1 or 2 bottom caps). Storage: Upon receipt store at 4-8°C. Product is shipped at ambient temperature. Do not freeze. Introduction The Thermo Scientific™ Pierce™ Chromatography Cartridges Protein L are convenient, ready-to-use prepacked devices for isolation and purification of immunoglobulin classes IgG, IgM, IgA, IgE and IgD via their kappa light chains. Protein L binds to certain subtypes of antibody kappa light chains, predominant in humans and mice, without interfering with antigen binding sites. Typically, Protein L cartridges are used for purifying monoclonal antibodies from ascites or cell culture supernatants. Protein L does not bind bovine antibodies, eliminating contamination from bovine immunoglobins when purifying serum- supplemented cell culture supernatants. Protein L also binds single chain variable fragments (scFv) and Fab fragments, unlike Protein A, Protein G or Protein A/G. Pierce Chromatography Cartridges are compatible with the major automated liquid-chromatography systems or for manual syringe processing (see Table 1 for general properties of the cartridges). The cartridges attach directly to ÄKTA™ or FPLC Systems without additional connectors. An accessory pack, included with each product, readily adapts columns for use with Luer-Lok Syringe Fittings or 1/16” tubing. -
Biofire Blood Culture Identification System (BCID) Fact Sheet
BioFire Blood Culture Identification System (BCID) Fact Sheet What is BioFire BioFire BCID is a multiplex polymerase chain reaction (PCR) test designed to BCID? identify 24 different microorganism targets and three antibiotic resistance genes from positive blood culture bottles. What is the purpose The purpose of BCID is to rapidly identify common microorganisms and of BCID? antibiotic resistance genes from positive blood cultures so that antimicrobial therapy can be quickly optimized by the physician and the antibiotic stewardship pharmacist. It is anticipated that this will result in improved patient outcomes, decreased length of stay, improved antibiotic stewardship, and decreased costs. When will BCID be BCID is performed on all initially positive blood cultures after the gram stain is routinely performed and reported. performed? When will BCID not For blood cultures on the same patient that subsequently become positive with be routinely a microorganism showing the same morphology as the initial positive blood performed? culture, BCID will not be performed. BCID will not be performed on positive blood cultures with gram positive bacilli unless Listeria is suspected. BCID will not be performed on blood culture bottles > 8 hours after becoming positive. BCID will not be performed between 10PM-7AM on weekdays and 2PM-7AM on weekends. BCID will not be performed for clinics that have specifically opted out of testing. How soon will BCID After the blood culture becomes positive and the gram stain is performed and results be available? reported, the bottle will be sent to the core Microbiology lab by routine courier. BCID testing will then be performed. It is anticipated that total turnaround time will generally be 2-3 hours after the gram stain is reported. -
Table 3. Distribution of Tetracycline Resistance Genes Among Gram-Positive Bacteria, Mycobacterium, Mycoplasma, Nocardia, Streptomyces and Ureaplasma Modified Sept
Table 3. Distribution of tetracycline resistance genes among Gram-positive bacteria, Mycobacterium, Mycoplasma, Nocardia, Streptomyces and Ureaplasma Modified Sept. 27, 2021 [n=58 genera] Originally modified from MMBR 2001; 65:232-260 with permission from ASM Journals One Determinant Two Determinants Three or More Determinants n=27 n=7 n=22 k Abiotrophia tet(M) Arthrobacter tet(33)(M) Actinomyces tet(L)(M)(W) Afipia tet(M) Gardnerella tet(M)(Q) Aerococcus tet(M)(O)(58)(61) o Amycolatopsis tet(M) Gemella tet(M)(O) Bacillus tet(K)(L)(M)(O)ao(T)ao(W)(39)m(42)I (45)atotr(A)L Anaerococcus tet(M)g Granulicatella tet(M)(O) Bifidobacterium a, w tet(L)(M)(O)(W) Bacterionema tet(M) Lactococcus tet(M)(S) Bhargavaea tet(L)ac(M)(45)aa ar Brachybacterium tet(M)k Mobiluncusa tet(O)(Q) Clostridiuma,f tet(K)(L)(M)(O)(P)(Q)(W)(36)(40)j(44)p(X) Catenibacteriuma tet(M) Savagea tet(L)(M) Clostridioidesat tet(L)(P)(W)(40) Cellulosimicrobium tet(39)m Corynebacterium tet(M)(Z)(33)(W)q (39)ak Cottaibacterium tet(M) Enterococcus tet(K)(L)(M)(O)(S)(T)(U)(58)ad(61)aq Cutibacterium tet(W)aq Eubacteriuma tet(K)(M)(O)(Q)(32) Erysipelothrix tet(M) Lactobacillusf tet(K)(L)(M)(O)(Q)(S)(W)(Z)(36)am Finegoldia tet(M)g Listeria tet(K)(L)(M)(S)AB(46)ag Geobacillus tet(L) Microbacterium tet(M)(O)ae(42)I Helcococcus tet(M)ah Mycobacteriumc tet(K)(L)(M)(O)t(V)arotr(A)(B) Leifsonia tet(O)t Nocardia tet(K)(L)(M)ai (O) ai Lysinibacillus tet(39)m Paenibacillus tet(L)(M)(O)t(42)i Micrococcus tet(42) Peptostreptococcusa tet(K)(L)(M)(O)(Q) Mycoplasmab tet(M) Sporosarcina tet(K)(L)ac(M)n -
Tumor-Infiltrating Monocytes/Macrophages Promote Tumor Invasion and Migration by Upregulating S100A8 and S100A9 Expression in Ca
OPEN Oncogene (2016) 35, 5735–5745 © 2016 Macmillan Publishers Limited, part of Springer Nature. All rights reserved 0950-9232/16 www.nature.com/onc ORIGINAL ARTICLE Tumor-infiltrating monocytes/macrophages promote tumor invasion and migration by upregulating S100A8 and S100A9 expression in cancer cells SY Lim, AE Yuzhalin, AN Gordon-Weeks and RJ Muschel Myeloid cells promote the development of distant metastases, but little is known about the molecular mechanisms underlying this process. Here we have begun to uncover the effects of myeloid cells on cancer cells in a mouse model of liver metastasis. Monocytes/macrophages, but not granulocytes, isolated from experimental liver metastases stimulated migration and invasion of MC38 colon and Lewis lung carcinoma cells. In response to conditioned media from tumor-infiltrating monocytes/macrophages, cancer cells upregulated S100a8 and S100a9 messenger RNA expression through an extracellular signal-related kinase-dependent mechanism. Suppression of S100A8 and S100A9 in cancer cells using short hairpin RNA significantly diminished migration and invasion in culture. Downregulation of S100A8 and S100A9 had no effect on subcutaneous tumor growth. However, colony size was greatly reduced in liver metastases with decreased invasion into adjacent tissue. In tissue culture and in the liver colonies derived from cancer cells with knockdown of S100A8 and S100A9, MMP2 and MMP9 expression was decreased, consistent with the reduction in migration and invasion. Our findings demonstrate that monocytes/macrophages in the metastatic liver microenvironment induce S100A8 and S100A9 in cancer cells, and that these proteins are essential for tumor cell migration and invasion. S100A8 and S100A9, however, are not responsible for stimulation of proliferation. -
Identification and Antimicrobial Susceptibility Testing of Anaerobic
antibiotics Review Identification and Antimicrobial Susceptibility Testing of Anaerobic Bacteria: Rubik’s Cube of Clinical Microbiology? Márió Gajdács 1,*, Gabriella Spengler 1 and Edit Urbán 2 1 Department of Medical Microbiology and Immunobiology, Faculty of Medicine, University of Szeged, 6720 Szeged, Hungary; [email protected] 2 Institute of Clinical Microbiology, Faculty of Medicine, University of Szeged, 6725 Szeged, Hungary; [email protected] * Correspondence: [email protected]; Tel.: +36-62-342-843 Academic Editor: Leonard Amaral Received: 28 September 2017; Accepted: 3 November 2017; Published: 7 November 2017 Abstract: Anaerobic bacteria have pivotal roles in the microbiota of humans and they are significant infectious agents involved in many pathological processes, both in immunocompetent and immunocompromised individuals. Their isolation, cultivation and correct identification differs significantly from the workup of aerobic species, although the use of new technologies (e.g., matrix-assisted laser desorption/ionization time-of-flight mass spectrometry, whole genome sequencing) changed anaerobic diagnostics dramatically. In the past, antimicrobial susceptibility of these microorganisms showed predictable patterns and empirical therapy could be safely administered but recently a steady and clear increase in the resistance for several important drugs (β-lactams, clindamycin) has been observed worldwide. For this reason, antimicrobial susceptibility testing of anaerobic isolates for surveillance -
(BCID) Results Are “Not Detected”
Interpretation of Positive Blood Cultures When PCR Blood Culture Identification (BCID) Results are “Not Detected” Nebraska Medicine currently uses a multi-plex PCR-based blood culture identification (BCID) system that is able to identify 19 potential pathogens growing in blood culture. BCID generally detects over 90% of the most common causative agents in bloodstream infections; however, when microbes not included on the panel are present in a blood culture, it returns a result of “Not Detected.” This document aims to provide guidance in these scenarios supported by data collected at Nebraska Medicine from January 2018 to August 2019. Table 1: Recommendations for treatment of patients with blood cultures growing organisms not detected on BCID Gram Stain/Preliminary Likely Organism (% total BCID negative)* Recommended Treatment Culture Result Gram-positive: Aerobe Micrococcus sp. (18.1%) (most can also grow in Coagulase-negative Staphylococcus (9.3%) None anaerobic bottles) Diphtheroids (7%) None Peptostreptococcus sp. (4.4%) If therapy is desired: Anaerobe bottle only Lactobacillus sp. (2.6%) Metronidazole 500 mg PO q8h Clostridium sp. (2.6%) OR Penicillin G 4 million units IV q4h Gram-negative: Aerobe Acinetobacter sp. (1.8%) (most can also grow in Stenotrophomonas maltophilia (1.6%) Levofloxacin 750 mg IV/PO q24h anaerobic bottles) Pseudomonas fluorescens-putida group (1%) Bacteroides fragilis group (9.3%) Anaerobe bottle only Metronidazole 500 mg IV/PO q8h Fusobacterium sp. (4.7%) *A full list of isolated organisms can be found below in Table 2 Orange text = Cocci, Blue text = Bacilli (rods) Gram-Positives When BCID results as “Not Detected” but there is microbial growth, the organism is most frequently gram-positive (71%). -
Integrated DNA Methylation and Gene Expression Analysis Identi Ed
Integrated DNA methylation and gene expression analysis identied S100A8 and S100A9 in the pathogenesis of obesity Ningyuan Chen ( [email protected] ) Guangxi Medical University https://orcid.org/0000-0001-5004-6603 Liu Miao Liu Zhou People's Hospital Wei Lin Jiangbin Hospital Dong-Hua Zhou Fifth Aliated Hospital of Guangxi Medical University Ling Huang Guangxi Medical University Jia Huang Guangxi Medical University Wan-Xin Shi Guangxi Medical University Li-Lin Li Guangxi Medical University Yu-Xing Luo Guangxi Medical University Hao Liang Guangxi Medical University Shang-Ling Pan Guangxi Medical University Jun-Hua Peng Guangxi Medical University Research article Keywords: Obesity, DNA methylation-mRNA expression-CAD interaction network, Function enrichment, Correlation analyses Posted Date: November 2nd, 2020 Page 1/21 DOI: https://doi.org/10.21203/rs.3.rs-68833/v2 License: This work is licensed under a Creative Commons Attribution 4.0 International License. Read Full License Page 2/21 Abstract Background: To explore the association of DNA methylation and gene expression in the pathology of obesity. Methods: (1) Genomic DNA methylation and mRNA expression prole of visceral adipose tissue (VAT) were performed in a comprehensive database of gene expression in obese and normal subjects; (2) functional enrichment analysis and construction of differential methylation gene regulatory network were performed; (3) Validation of the two different methylation sites and corresponding gene expression was done in a separate microarray data set; and (4) correlation analysis was performed on DNA methylation and mRNA expression data. Results: A total of 77 differentially expressed mRNA matched with differentially methylated genes. Analysis revealed two different methylation sites corresponding to two unique genes-s100a8- cg09174555 and s100a9-cg03165378. -
Pierce Protein L Agarose
INSTRUCTIONS ® Pierce Protein L Agarose 20510 20512 0778.5 Number Description 20510 Pierce Protein L Agarose, 2 ml settled resin 20512 Pierce Protein L Agarose, 10 ml settled resin Support: Crosslinked 6% beaded agarose supplied as 50% slurry (e.g., 2 ml of settled resin is equivalent to 4 ml of 50% slurry) containing 0.02% sodium azide Binding Capacity: ~5-10 mg human IgG/ml of resin Storage: Upon receipt store product at 4-8°C. Product is shipped at ambient temperature. Table of Contents Introduction .................................................................................................................................................................................1 Important Product Information ....................................................................................................................................................1 Gravity-flow Column Procedure for Antibody Purification ........................................................................................................2 A. Additional Materials Required ......................................................................................................................................2 B. Immunoglobulin Purification Procedure .......................................................................................................................2 Troubleshooting...........................................................................................................................................................................3 Additional Information -
Extraintestinal Clostridioides Difficile Infections
antibiotics Article Extraintestinal Clostridioides difficile Infections: Epidemiology in a University Hospital in Hungary and Review of the Literature Edit Urbán 1,*, Gabriella Terhes 2 and Márió Gajdács 3 1 Department of Public Health, Faculty of Medicine, University of Szeged, Dóm tér 10., 6720 Szeged, Hungary 2 Institute of Clinical Microbiology, Faculty of Medicine, University of Szeged, Semmelweis utca 6., 6725 Szeged, Hungary; [email protected] 3 Department of Pharmacodynamics and Biopharmacy, Faculty of Pharmacy, University of Szeged, Eötvös utca 6., 6720 Szeged, Hungary; [email protected] * Correspondence: [email protected]; Tel.: +36-62-342-861 Received: 8 December 2019; Accepted: 31 December 2019; Published: 2 January 2020 Abstract: Extraintestinal manifestations of Clostridioides difficile infections (CDIs) are very uncommon, and according to the literature, poor outcomes and a high mortality have been observed among affected individuals. The objective of this study was to investigate the incidence rate of extraintestinal infections caused by C. difficile (ECD) in a tertiary-care university hospital in Hungary. During a 10-year study period, the microbiology laboratory isolated 4129 individual strains of C. difficile; among these, the majority were either from diarrheal fecal samples or from colonic material and only n = 24 (0.58%) were from extraintestinal sources. The 24 extraintestinal C. difficile isolates were recovered from 22 patients (female-to-male ratio: 1, average age: 55.4 years). The isolates in n = 8 patients were obtained from abdominal infections, e.g., appendicitis, rectal abscess or Crohn’s disease. These extraintestinal cases occurred without concomitant diarrhea. In all, but two cases C. -
RNA Double-Stranded Monocytes
IL-10-Dependent S100A8 Gene Induction in Monocytes/Macrophages by Double-Stranded RNA This information is current as Yasumi Endoh, Yuen Ming Chung, Ian A. Clark, Carolyn L. of September 27, 2021. Geczy and Kenneth Hsu J Immunol 2009; 182:2258-2268; ; doi: 10.4049/jimmunol.0802683 http://www.jimmunol.org/content/182/4/2258 Downloaded from References This article cites 73 articles, 26 of which you can access for free at: http://www.jimmunol.org/content/182/4/2258.full#ref-list-1 http://www.jimmunol.org/ Why The JI? Submit online. • Rapid Reviews! 30 days* from submission to initial decision • No Triage! Every submission reviewed by practicing scientists • Fast Publication! 4 weeks from acceptance to publication by guest on September 27, 2021 *average Subscription Information about subscribing to The Journal of Immunology is online at: http://jimmunol.org/subscription Permissions Submit copyright permission requests at: http://www.aai.org/About/Publications/JI/copyright.html Email Alerts Receive free email-alerts when new articles cite this article. Sign up at: http://jimmunol.org/alerts The Journal of Immunology is published twice each month by The American Association of Immunologists, Inc., 1451 Rockville Pike, Suite 650, Rockville, MD 20852 Copyright © 2009 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. The Journal of Immunology IL-10-Dependent S100A8 Gene Induction in Monocytes/Macrophages by Double-Stranded RNA1 Yasumi Endoh,* Yuen Ming Chung,* Ian A. Clark,† Carolyn L. Geczy,* and Kenneth Hsu2* The S100 calcium-binding proteins S100A8 and S100A9 are elevated systemically in patients with viral infections.