Viewed from the Extracellular Space Appear Tetraploidization [17] After It Diverged from Sarcopterygii Clockwise in the Order Α-Δ-Β-Α-Ε
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Release Β ATP-Induced IL-1 and Canonical Nicotinic Agonists Inhibit Phosphocholine-Modified Macromolecules
Phosphocholine-Modified Macromolecules and Canonical Nicotinic Agonists Inhibit ATP-Induced IL-1β Release This information is current as Andreas Hecker, Mira Küllmar, Sigrid Wilker, Katrin of September 24, 2021. Richter, Anna Zakrzewicz, Srebrena Atanasova, Verena Mathes, Thomas Timm, Sabrina Lerner, Jochen Klein, Andreas Kaufmann, Stefan Bauer, Winfried Padberg, Wolfgang Kummer, Sabina Janciauskiene, Martin Fronius, Elke K. H. Schweda, Günter Lochnit and Veronika Grau Downloaded from J Immunol 2015; 195:2325-2334; Prepublished online 22 July 2015; doi: 10.4049/jimmunol.1400974 http://www.jimmunol.org/content/195/5/2325 http://www.jimmunol.org/ Supplementary http://www.jimmunol.org/content/suppl/2015/07/22/jimmunol.140097 Material 4.DCSupplemental References This article cites 42 articles, 11 of which you can access for free at: http://www.jimmunol.org/content/195/5/2325.full#ref-list-1 by guest on September 24, 2021 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 *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 © 2015 by The American Association of Immunologists, Inc. All rights reserved. Print ISSN: 0022-1767 Online ISSN: 1550-6606. -
Rabbit Anti-CHRNA10/FITC Conjugated Antibody-SL12111R-FITC
SunLong Biotech Co.,LTD Tel: 0086-571- 56623320 Fax:0086-571- 56623318 E-mail:[email protected] www.sunlongbiotech.com Rabbit Anti-CHRNA10/FITC Conjugated antibody SL12111R-FITC Product Name: Anti-CHRNA10/FITC Chinese Name: FITC标记的烟碱型乙酰胆碱受体α10/AChRα10抗体 Acetylcholine receptor, neuronal nicotinic, alpha-10 subunit; ACH10_HUMAN; Alpha 10 nAChR; Cholinergic receptor nicotinic alpha 10; Cholinergic receptor, neuronal nicotinic, alpha polypeptide 10; Cholinergic receptor, nicotinic, alpha polypeptide 10; Alias: CHRNA 10; CHRNA10; NACHR alpha 10; NACHR alpha-10; NACHRA10; Neuronal acetylcholine receptor protein subunit alpha 10; Neuronal acetylcholine receptor subunit alpha-10; Nicotinic acetylcholine receptor subunit alpha 10; Nicotinic acetylcholine receptor subunit alpha-10. Organism Species: Rabbit Clonality: Polyclonal React Species: Human,Mouse,Rat,Dog,Pig,Cow,Horse,Rabbit,Sheep, ICC=1:50-200IF=1:50-200 Applications: not yet tested in other applications. optimal dilutions/concentrations should be determined by the end user. Molecular weight: 47kDa Cellular localization: The cell membrane Form: Lyophilizedwww.sunlongbiotech.com or Liquid Concentration: 1mg/ml immunogen: KLH conjugated synthetic peptide derived from human CHRNA10 Lsotype: IgG Purification: affinity purified by Protein A Storage Buffer: 0.01M TBS(pH7.4) with 1% BSA, 0.03% Proclin300 and 50% Glycerol. Store at -20 °C for one year. Avoid repeated freeze/thaw cycles. The lyophilized antibody is stable at room temperature for at least one month and for greater than a year Storage: when kept at -20°C. When reconstituted in sterile pH 7.4 0.01M PBS or diluent of antibody the antibody is stable for at least two weeks at 2-4 °C. background: Product Detail: Members of the ligand-gated ion channel receptor family are characterized by their fast transmitting response to neurotransmitters. -
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. -
Protein Identities in Evs Isolated from U87-MG GBM Cells As Determined by NG LC-MS/MS
Protein identities in EVs isolated from U87-MG GBM cells as determined by NG LC-MS/MS. No. Accession Description Σ Coverage Σ# Proteins Σ# Unique Peptides Σ# Peptides Σ# PSMs # AAs MW [kDa] calc. pI 1 A8MS94 Putative golgin subfamily A member 2-like protein 5 OS=Homo sapiens PE=5 SV=2 - [GG2L5_HUMAN] 100 1 1 7 88 110 12,03704523 5,681152344 2 P60660 Myosin light polypeptide 6 OS=Homo sapiens GN=MYL6 PE=1 SV=2 - [MYL6_HUMAN] 100 3 5 17 173 151 16,91913397 4,652832031 3 Q6ZYL4 General transcription factor IIH subunit 5 OS=Homo sapiens GN=GTF2H5 PE=1 SV=1 - [TF2H5_HUMAN] 98,59 1 1 4 13 71 8,048185945 4,652832031 4 P60709 Actin, cytoplasmic 1 OS=Homo sapiens GN=ACTB PE=1 SV=1 - [ACTB_HUMAN] 97,6 5 5 35 917 375 41,70973209 5,478027344 5 P13489 Ribonuclease inhibitor OS=Homo sapiens GN=RNH1 PE=1 SV=2 - [RINI_HUMAN] 96,75 1 12 37 173 461 49,94108966 4,817871094 6 P09382 Galectin-1 OS=Homo sapiens GN=LGALS1 PE=1 SV=2 - [LEG1_HUMAN] 96,3 1 7 14 283 135 14,70620005 5,503417969 7 P60174 Triosephosphate isomerase OS=Homo sapiens GN=TPI1 PE=1 SV=3 - [TPIS_HUMAN] 95,1 3 16 25 375 286 30,77169764 5,922363281 8 P04406 Glyceraldehyde-3-phosphate dehydrogenase OS=Homo sapiens GN=GAPDH PE=1 SV=3 - [G3P_HUMAN] 94,63 2 13 31 509 335 36,03039959 8,455566406 9 Q15185 Prostaglandin E synthase 3 OS=Homo sapiens GN=PTGES3 PE=1 SV=1 - [TEBP_HUMAN] 93,13 1 5 12 74 160 18,68541938 4,538574219 10 P09417 Dihydropteridine reductase OS=Homo sapiens GN=QDPR PE=1 SV=2 - [DHPR_HUMAN] 93,03 1 1 17 69 244 25,77302971 7,371582031 11 P01911 HLA class II histocompatibility antigen, -
Transcriptomic Analysis of Native Versus Cultured Human and Mouse Dorsal Root Ganglia Focused on Pharmacological Targets Short
bioRxiv preprint doi: https://doi.org/10.1101/766865; this version posted September 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-ND 4.0 International license. Transcriptomic analysis of native versus cultured human and mouse dorsal root ganglia focused on pharmacological targets Short title: Comparative transcriptomics of acutely dissected versus cultured DRGs Andi Wangzhou1, Lisa A. McIlvried2, Candler Paige1, Paulino Barragan-Iglesias1, Carolyn A. Guzman1, Gregory Dussor1, Pradipta R. Ray1,#, Robert W. Gereau IV2, # and Theodore J. Price1, # 1The University of Texas at Dallas, School of Behavioral and Brain Sciences and Center for Advanced Pain Studies, 800 W Campbell Rd. Richardson, TX, 75080, USA 2Washington University Pain Center and Department of Anesthesiology, Washington University School of Medicine # corresponding authors [email protected], [email protected] and [email protected] Funding: NIH grants T32DA007261 (LM); NS065926 and NS102161 (TJP); NS106953 and NS042595 (RWG). The authors declare no conflicts of interest Author Contributions Conceived of the Project: PRR, RWG IV and TJP Performed Experiments: AW, LAM, CP, PB-I Supervised Experiments: GD, RWG IV, TJP Analyzed Data: AW, LAM, CP, CAG, PRR Supervised Bioinformatics Analysis: PRR Drew Figures: AW, PRR Wrote and Edited Manuscript: AW, LAM, CP, GD, PRR, RWG IV, TJP All authors approved the final version of the manuscript. 1 bioRxiv preprint doi: https://doi.org/10.1101/766865; this version posted September 12, 2019. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. -
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Supplementary Figure S1. Results of flow cytometry analysis, performed to estimate CD34 positivity, after immunomagnetic separation in two different experiments. As monoclonal antibody for labeling the sample, the fluorescein isothiocyanate (FITC)- conjugated mouse anti-human CD34 MoAb (Mylteni) was used. Briefly, cell samples were incubated in the presence of the indicated MoAbs, at the proper dilution, in PBS containing 5% FCS and 1% Fc receptor (FcR) blocking reagent (Miltenyi) for 30 min at 4 C. Cells were then washed twice, resuspended with PBS and analyzed by a Coulter Epics XL (Coulter Electronics Inc., Hialeah, FL, USA) flow cytometer. only use Non-commercial 1 Supplementary Table S1. Complete list of the datasets used in this study and their sources. GEO Total samples Geo selected GEO accession of used Platform Reference series in series samples samples GSM142565 GSM142566 GSM142567 GSM142568 GSE6146 HG-U133A 14 8 - GSM142569 GSM142571 GSM142572 GSM142574 GSM51391 GSM51392 GSE2666 HG-U133A 36 4 1 GSM51393 GSM51394 only GSM321583 GSE12803 HG-U133A 20 3 GSM321584 2 GSM321585 use Promyelocytes_1 Promyelocytes_2 Promyelocytes_3 Promyelocytes_4 HG-U133A 8 8 3 GSE64282 Promyelocytes_5 Promyelocytes_6 Promyelocytes_7 Promyelocytes_8 Non-commercial 2 Supplementary Table S2. Chromosomal regions up-regulated in CD34+ samples as identified by the LAP procedure with the two-class statistics coded in the PREDA R package and an FDR threshold of 0.5. Functional enrichment analysis has been performed using DAVID (http://david.abcc.ncifcrf.gov/) -
Ligand-Gated Ion Channels' British Journal of Pharmacology, Vol
Edinburgh Research Explorer The Concise Guide to PHARMACOLOGY 2015/16 Citation for published version: Alexander, SP, Peters, JA, Kelly, E, Marrion, N, Benson, HE, Faccenda, E, Pawson, AJ, Sharman, JL, Southan, C, Davies, JA & CGTP Collaborators 2015, 'The Concise Guide to PHARMACOLOGY 2015/16: Ligand-gated ion channels' British Journal of Pharmacology, vol. 172, no. 24, pp. 5870-5903. DOI: 10.1111/bph.13350 Digital Object Identifier (DOI): 10.1111/bph.13350 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: British Journal of Pharmacology General rights Copyright for the publications made accessible via the Edinburgh Research Explorer is retained by the author(s) and / or other copyright owners and it is a condition of accessing these publications that users recognise and abide by the legal requirements associated with these rights. Take down policy The University of Edinburgh has made every reasonable effort to ensure that Edinburgh Research Explorer content complies with UK legislation. If you believe that the public display of this file breaches copyright please contact [email protected] providing details, and we will remove access to the work immediately and investigate your claim. Download date: 05. Apr. 2019 S.P.H. Alexander et al. The Concise Guide to PHARMACOLOGY 2015/16: Ligand-gated ion channels. British Journal of Pharmacology (2015) 172, 5870–5903 THE CONCISE GUIDE TO PHARMACOLOGY 2015/16: Ligand-gated ion channels Stephen PH Alexander1, -
Evolution of the P53-MDM2 Pathway Emma Åberg1, Fulvio Saccoccia1, Manfred Grabherr1, Wai Ying Josefin Ore1, Per Jemth1* and Greta Hultqvist1,2*
Åberg et al. BMC Evolutionary Biology (2017) 17:177 DOI 10.1186/s12862-017-1023-y RESEARCH ARTICLE Open Access Evolution of the p53-MDM2 pathway Emma Åberg1, Fulvio Saccoccia1, Manfred Grabherr1, Wai Ying Josefin Ore1, Per Jemth1* and Greta Hultqvist1,2* Abstract Background: The p53 signalling pathway, which controls cell fate, has been extensively studied due to its prominent role in tumor development. The pathway includes the tumor supressor protein p53, its vertebrate paralogs p63 and p73, and their negative regulators MDM2 and MDM4. The p53/p63/p73-MDM system is ancient and can be traced in all extant animal phyla. Despite this, correct phylogenetic trees including both vertebrate and invertebrate species of the p53/p63/p73 and MDM families have not been published. Results: Here, we have examined the evolution of the p53/p63/p73 protein family with particular focus on the p53/ p63/p73 transactivation domain (TAD) and its co-evolution with the p53/p63/p73-binding domain (p53/p63/p73BD) of MDM2. We found that the TAD and p53/p63/p73BD share a strong evolutionary connection. If one of the domains of the protein is lost in a phylum, then it seems very likely to be followed by loss of function by the other domain as well, and due to the loss of function it is likely to eventually disappear. By focusing our phylogenetic analysis to p53/p63/ p73 and MDM proteins from phyla that retain the interaction domains TAD and p53/p63/p73BD, we built phylogenetic trees of p53/p63/p73 and MDM based on both vertebrate and invertebrate species. -
Α7 Nicotinic Receptor Up-Regulation in Cholinergic Basal Forebrain Neurons in Alzheimer Disease
ORIGINAL CONTRIBUTION ␣7 Nicotinic Receptor Up-regulation in Cholinergic Basal Forebrain Neurons in Alzheimer Disease Scott E. Counts, PhD; Bin He, MD; Shaoli Che, MD, PhD; Milos D. Ikonomovic, MD; Steven T. DeKosky, MD; Stephen D. Ginsberg, PhD; Elliott J. Mufson, PhD Background: Dysfunction of basocortical cholinergic pro- Participants: Participants were members of the Rush jection neurons of the nucleus basalis (NB) correlates with Religious Orders Study cohort. cognitive deficits in Alzheimer disease (AD). Nucleus ba- Main Outcome Measures: Real-time quantitative poly- salis neurons receive cholinergic inputs and express nico- merase chain reaction was performed to validate micro- tinic acetylcholine receptors (nAChRs) and muscarinic array findings. AChRs (mAChRs), which may regulate NB neuron activ- ity in AD. Although alterations in these AChRs occur in Results: Cholinergic NB neurons displayed a statisti- the AD cortex, there is little information detailing whether cally significant up-regulation of ␣7 nAChR messenger defects in nAChR and mAChR gene expression occur in RNA expression in subjects with mild to moderate AD cholinergic NB neurons during disease progression. compared with those with NCI and MCI (PϽ.001). No differences were found for other nAChR and mAChR sub- types across the cohort. Expression levels of ␣7 nAChRs Objective: To determine whether nAChR and mAChR were inversely associated with Global Cognitive Score and gene expression is altered in cholinergic NB neurons dur- with Mini-Mental State Examination performance. ing the progression of AD. Conclusions: Up-regulation of ␣7 nAChRs may signal Design: Individual NB neurons from subjects diag- a compensatory response to maintain basocortical cho- nosed ante mortem as having no cognitive impairment linergic activity during AD progression. -
Gene Expression Studies in Depression Development and Treatment
Mariani et al. Translational Psychiatry (2021) 11:354 https://doi.org/10.1038/s41398-021-01469-6 Translational Psychiatry REVIEW ARTICLE Open Access Gene expression studies in Depression development and treatment: an overview of the underlying molecular mechanisms and biological processes to identify biomarkers Nicole Mariani 1, Nadia Cattane2,CarminePariante 1 and Annamaria Cattaneo 2,3 Abstract A combination of different risk factors, such as genetic, environmental and psychological factors, together with immune system, stress response, brain neuroplasticity and the regulation of neurotransmitters, is thought to lead to the development of major depressive disorder (MDD). A growing number of studies have tried to investigate the underlying mechanisms of MDD by analysing the expression levels of genes involved in such biological processes. These studies have shown that MDD is not just a brain disorder, but also a body disorder, and this is mainly due to the interplay between the periphery and the Central Nervous System (CNS). To this purpose, most of the studies conducted so far have mainly dedicated to the analysis of the gene expression levels using postmortem brain tissue as well as peripheral blood samples of MDD patients. In this paper, we reviewed the current literature on candidate gene expression alterations and the few existing transcriptomics studies in MDD focusing on inflammation, neuroplasticity, neurotransmitters and stress-related genes. Moreover, we focused our attention on studies, which have investigated 1234567890():,; 1234567890():,; 1234567890():,; 1234567890():,; mRNA levels as biomarkers to predict therapy outcomes. This is important as many patients do not respond to antidepressant medication or could experience adverse side effects, leading to the interruption of treatment. -
Research Article Microarray-Based Comparisons of Ion Channel Expression Patterns: Human Keratinocytes to Reprogrammed Hipscs To
Hindawi Publishing Corporation Stem Cells International Volume 2013, Article ID 784629, 25 pages http://dx.doi.org/10.1155/2013/784629 Research Article Microarray-Based Comparisons of Ion Channel Expression Patterns: Human Keratinocytes to Reprogrammed hiPSCs to Differentiated Neuronal and Cardiac Progeny Leonhard Linta,1 Marianne Stockmann,1 Qiong Lin,2 André Lechel,3 Christian Proepper,1 Tobias M. Boeckers,1 Alexander Kleger,3 and Stefan Liebau1 1 InstituteforAnatomyCellBiology,UlmUniversity,Albert-EinsteinAllee11,89081Ulm,Germany 2 Institute for Biomedical Engineering, Department of Cell Biology, RWTH Aachen, Pauwelstrasse 30, 52074 Aachen, Germany 3 Department of Internal Medicine I, Ulm University, Albert-Einstein Allee 11, 89081 Ulm, Germany Correspondence should be addressed to Alexander Kleger; [email protected] and Stefan Liebau; [email protected] Received 31 January 2013; Accepted 6 March 2013 Academic Editor: Michael Levin Copyright © 2013 Leonhard Linta et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Ion channels are involved in a large variety of cellular processes including stem cell differentiation. Numerous families of ion channels are present in the organism which can be distinguished by means of, for example, ion selectivity, gating mechanism, composition, or cell biological function. To characterize the distinct expression of this group of ion channels we have compared the mRNA expression levels of ion channel genes between human keratinocyte-derived induced pluripotent stem cells (hiPSCs) and their somatic cell source, keratinocytes from plucked human hair. This comparison revealed that 26% of the analyzed probes showed an upregulation of ion channels in hiPSCs while just 6% were downregulated. -
Searching the Evolutionary Origin of Epithelial Mucus Protein Components—Mucins and FCGBP Article Open Access
Searching the Evolutionary Origin of Epithelial Mucus Protein Components—Mucins and FCGBP Tiange Lang1,2, Sofia Klasson1, Erik Larsson1, Malin E. V. Johansson1, Gunnar C. Hansson1, and Tore Samuelsson*,1 1Department of Medical Biochemistry and Cell Biology, University of Gothenburg, Gothenburg, Sweden 2Key Laboratory of Tropical Plant Resource and Sustainable Use, Xishuangbanna Tropical Botanical Garden, Chinese Academy of Sciences, Mengla, Yunnan, China *Corresponding author: E-mail: [email protected] Associate editor: Katja Nowick Abstract The gel-forming mucins are large glycosylated proteins that are essential components of the mucus layers covering epithelial cells. Using novel methods of identifying mucins based on profile hidden Markov models, we have found a large number of such proteins in Metazoa, aiding in their classification and allowing evolutionary studies. Most vertebrates have 5–6 gel-forming mucin genes and the genomic arrangement of these genes is well conserved throughout verte- brates. An exception is the frog Xenopus tropicalis with an expanded repertoire of at least 26 mucins of this type. Furthermore, we found that the ovomucin protein, originally identified in chicken, is characteristic of reptiles, birds, and amphibians. Muc6 is absent in teleost fish, but we now show that it is present in animals such as ghost sharks, dem- onstrating an early origin in vertebrate evolution. Public RNA-Seq data were analyzed with respect to mucins in zebrafish, frog, and chicken, thus allowing comparison in regard of tissue and developmental specificity. Analyses of invertebrate proteins reveal that gel-forming-mucin type of proteins is widely distributed also in this group. Their presence in Cnidaria, Porifera, and in Ctenophora (comb jellies) shows that these proteins were present early in metazoan evolution.