2018 Metrics from the HUPO Human Proteome Project † ● ‡ § ∥ Gilbert S
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A High-Stringency Blueprint of the Human Proteome
Providence St. Joseph Health Providence St. Joseph Health Digital Commons Articles, Abstracts, and Reports 10-16-2020 A high-stringency blueprint of the human proteome. Subash Adhikari Edouard C Nice Eric W Deutsch Institute for Systems Biology, Seattle, WA, USA. Lydie Lane Gilbert S Omenn See next page for additional authors Follow this and additional works at: https://digitalcommons.psjhealth.org/publications Part of the Genetics and Genomics Commons Recommended Citation Adhikari, Subash; Nice, Edouard C; Deutsch, Eric W; Lane, Lydie; Omenn, Gilbert S; Pennington, Stephen R; Paik, Young-Ki; Overall, Christopher M; Corrales, Fernando J; Cristea, Ileana M; Van Eyk, Jennifer E; Uhlén, Mathias; Lindskog, Cecilia; Chan, Daniel W; Bairoch, Amos; Waddington, James C; Justice, Joshua L; LaBaer, Joshua; Rodriguez, Henry; He, Fuchu; Kostrzewa, Markus; Ping, Peipei; Gundry, Rebekah L; Stewart, Peter; Srivastava, Sanjeeva; Srivastava, Sudhir; Nogueira, Fabio C S; Domont, Gilberto B; Vandenbrouck, Yves; Lam, Maggie P Y; Wennersten, Sara; Vizcaino, Juan Antonio; Wilkins, Marc; Schwenk, Jochen M; Lundberg, Emma; Bandeira, Nuno; Marko-Varga, Gyorgy; Weintraub, Susan T; Pineau, Charles; Kusebauch, Ulrike; Moritz, Robert L; Ahn, Seong Beom; Palmblad, Magnus; Snyder, Michael P; Aebersold, Ruedi; and Baker, Mark S, "A high-stringency blueprint of the human proteome." (2020). Articles, Abstracts, and Reports. 3832. https://digitalcommons.psjhealth.org/publications/3832 This Article is brought to you for free and open access by Providence St. Joseph Health -
Clinical Implications of Recent Advances in Proteogenomics
Clinical implications of recent advances in proteogenomics Marie Locard-Paulet, Olivier Pible, Anne Gonzalez de Peredo, Béatrice Alpha-Bazin, Christine Almunia, Odile Burlet-Schiltz, J. Armengaud To cite this version: Marie Locard-Paulet, Olivier Pible, Anne Gonzalez de Peredo, Béatrice Alpha-Bazin, Christine Almu- nia, et al.. Clinical implications of recent advances in proteogenomics. Expert Review of Proteomics, Taylor & Francis, 2016, 13 (2), pp.185-199. 10.1586/14789450.2016.1132169. hal-03080146 HAL Id: hal-03080146 https://hal.archives-ouvertes.fr/hal-03080146 Submitted on 19 Mar 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Publisher: Taylor & Francis Journal: Expert Review of Proteomics DOI: 10.1586/14789450.2016.1132169 Review Clinical implications of recent advances in proteogenomics Marie Locard-Paulet1,2, Olivier Pible3, Anne Gonzalez de Peredo1,2, Béatrice Alpha-Bazin3, Christine Almunia3, Odile Burlet-Schiltz1,2, Jean Armengaud3* 1CNRS, IPBS (Institut de Pharmacologie et Biologie Structurale), 205 route de Narbonne, 31077 Toulouse, France. 2Université de Toulouse, UPS, IPBS, 31077 Toulouse, France. 3CEA-Marcoule, DSV/IBITEC-S/SPI/Li2D, Laboratory “Innovative technologies for Detection and Diagnostics”, BP 17171, F-30200 Bagnols-sur-Cèze, France. -
Article Reference
Article Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines BABIC, Zeljana, et al. Abstract The use of misidentified and contaminated cell lines continues to be a problem in biomedical research. Research Resource Identifiers (RRIDs) should reduce the prevalence of misidentified and contaminated cell lines in the literature by alerting researchers to cell lines that are on the list of problematic cell lines, which is maintained by the International Cell Line Authentication Committee (ICLAC) and the Cellosaurus database. To test this assertion, we text-mined the methods sections of about two million papers in PubMed Central, identifying 305,161 unique cell-line names in 150,459 articles. We estimate that 8.6% of these cell lines were on the list of problematic cell lines, whereas only 3.3% of the cell lines in the 634 papers that included RRIDs were on the problematic list. This suggests that the use of RRIDs is associated with a lower reported use of problematic cell lines. Reference BABIC, Zeljana, et al. Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines. eLife, 2019, vol. 8, p. e41676 DOI : 10.7554/eLife.41676 PMID : 30693867 Available at: http://archive-ouverte.unige.ch/unige:119832 Disclaimer: layout of this document may differ from the published version. 1 / 1 FEATURE ARTICLE META-RESEARCH Incidences of problematic cell lines are lower in papers that use RRIDs to identify cell lines Abstract The use of misidentified and contaminated cell lines continues to be a problem in biomedical research. -
3De8d416-B844-4E9a-B3fb-A2e883a4083f 11119
Edinburgh Research Explorer Last rolls of the yoyo: Assessing the human canonical protein count Citation for published version: Southan, C 2017, 'Last rolls of the yoyo: Assessing the human canonical protein count', F1000Research, vol. 6, pp. 448+. https://doi.org/10.12688/f1000research.11119.1 Digital Object Identifier (DOI): 10.12688/f1000research.11119.1 Link: Link to publication record in Edinburgh Research Explorer Document Version: Publisher's PDF, also known as Version of record Published In: F1000Research Publisher Rights Statement: This is an open access article distributed under the terms of the Creative Commons Attribution Licence, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Data associated with the article are available under the terms of the Creative Commons Zero "No rights reserved" data waiver (CC0 1.0 Public domain dedication). 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 -
Study of Conditions for the Emergence of Cellular Communication Using Self-Adaptive Multi-Agent Systems Sebastien Maignan
Study of conditions for the emergence of cellular communication using self-adaptive multi-agent systems Sebastien Maignan To cite this version: Sebastien Maignan. Study of conditions for the emergence of cellular communication using self- adaptive multi-agent systems. Artificial Intelligence [cs.AI]. Université Paul Sabatier - Toulouse III, 2018. English. NNT : 2018TOU30094. tel-02094368 HAL Id: tel-02094368 https://tel.archives-ouvertes.fr/tel-02094368 Submitted on 9 Apr 2019 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Délivré par l'Université Toulouse 3 Paul Sabatier (UT3 Paul Sabatier) Sébastien Maignan Le 30 août 2018 Study of conditions for the emergence of cellular communication using self-adaptive multi-agent systems École doctorale et discipline ou spécialité ED MITT : Domaine STIC : Intelligence Artificielle Unité de recherche Institut de Recherche en Informatique de Toulouse Directrice(s) ou Directeur(s) de Thèse Pierre Glize, Carole Bernon Jury Marie BEURTON-AIMAR Maître de Conférences, HdR, Université de Bordeaux Rapporteur Vincent -
Personalized Single-Cell Proteogenomics to Distinguish Acute Myeloid Leukemia from Nonmalignant Clonal Hematopoiesis
RESEARCH BRIEF Personalized Single-Cell Proteogenomics to Distinguish Acute Myeloid Leukemia from Nonmalignant Clonal Hematopoiesis Laura W. Dillon1, Jack Ghannam1, Chidera Nosiri1, Gege Gui1, Meghali Goswami1, Katherine R. Calvo2, Katherine E. Lindblad1, Karolyn A. Oetjen1, Matthew D. Wilkerson3,4,5, Anthony R. Soltis3,4, Gauthaman Sukumar4,6, Clifton L. Dalgard5,6, Julie Thompson1, Janet Valdez1, Christin B. DeStefano1, Catherine Lai1, Adam Sciambi7, Robert Durruthy-Durruthy7, Aaron Llanso7, Saurabh Gulati7, Shu Wang7, Aik Ooi7, Pradeep K. Dagur8, J. Philip McCoy8, Patrick Burr9, Yuesheng Li9, and Christopher S. Hourigan1 ABSTRACT Genetic mutations associated with acute myeloid leukemia (AML) also occur in age- related clonal hematopoiesis, often in the same individual. This makes confident assignment of detected variants to malignancy challenging. The issue is particularly crucial for AML posttreatment measurable residual disease monitoring, where results can be discordant between genetic sequencing and flow cytometry. We show here that it is possible to distinguish AML from clonal hematopoiesis and to resolve the immunophenotypic identity of clonal architecture. To achieve this, we first design patient-specific DNA probes based on patient’s whole-genome sequencing and then use them for patient-personalized single-cell DNA sequencing with simultaneous single-cell antibody– oligonucleotide sequencing. Examples illustrate AML arising from DNMT3A- and TET2-mutated clones as well as independently. The ability to personalize single-cell proteogenomic assessment for individual patients based on leukemia-specific genomic features has implications for ongoing AML precision medicine efforts. SIGNIFICANCE: This study offers a proof of principle of patient-personalized customized single-cell proteogenomics in AML including whole-genome sequencing–defined structural variants, currently unmeasurable by commercial “off-the-shelf” panels. -
Microbes and Metagenomics in Human Health an Overview of Recent Publications Featuring Illumina® Technology TABLE of CONTENTS
Microbes and Metagenomics in Human Health An overview of recent publications featuring Illumina® technology TABLE OF CONTENTS 4 Introduction 5 Human Microbiome Gut Microbiome Gut Microbiome and Disease Inflammatory Bowel Disease (IBD) Metabolic Diseases: Diabetes and Obesity Obesity Oral Microbiome Other Human Biomes 25 Viromes and Human Health Viral Populations Viral Zoonotic Reservoirs DNA Viruses RNA Viruses Human Viral Pathogens Phages Virus Vaccine Development 44 Microbial Pathogenesis Important Microorganisms in Human Health Antimicrobial Resistance Bacterial Vaccines 54 Microbial Populations Amplicon Sequencing 16S: Ribosomal RNA Metagenome Sequencing: Whole-Genome Shotgun Metagenomics Eukaryotes Single-Cell Sequencing (SCS) Plasmidome Transcriptome Sequencing 63 Glossary of Terms 64 Bibliography This document highlights recent publications that demonstrate the use of Illumina technologies in immunology research. To learn more about the platforms and assays cited, visit www.illumina.com. An overview of recent publications featuring Illumina technology 3 INTRODUCTION The study of microbes in human health traditionally focused on identifying and 1. Roca I., Akova M., Baquero F., Carlet J., treating pathogens in patients, usually with antibiotics. The rise of antibiotic Cavaleri M., et al. (2015) The global threat of resistance and an increasingly dense—and mobile—global population is forcing a antimicrobial resistance: science for interven- tion. New Microbes New Infect 6: 22-29 1, 2, 3 change in that paradigm. Improvements in high-throughput sequencing, also 2. Shallcross L. J., Howard S. J., Fowler T. and called next-generation sequencing (NGS), allow a holistic approach to managing Davies S. C. (2015) Tackling the threat of anti- microbial resistance: from policy to sustainable microbes in human health. -
Bioinformatics Tools for RNA-Seq Gene and Isoform Quantification
on: Sequ ati en er c n in e g G & t x A Journal of e p Zhang, et al., Next Generat Sequenc & Applic p N l f i c o 2016, 3:3 a l t a i o n r ISSN: 2469-9853n u s DOI: 10.4172/2469-9853.1000140 o Next Generation Sequencing & Applications J Review Article Open Access Bioinformatics Tools for RNA-seq Gene and Isoform Quantification Chi Zhang1, Baohong Zhang1, Michael S Vincent2 and Shanrong Zhao1* 1Early Clinical Development, Pfizer Worldwide R&D, Cambridge, MA, USA 2Inflammation and Immunology RU, Pfizer Worldwide R&D, Cambridge, MA, USA *Corresponding author: Shanrong Zhao, Early Clinical Development, Pfizer Worldwide R&D, Cambridge, MA, 02139, USA, Tel: + 1-212-733-2323; E-mail: [email protected] Rec date: Oct 27, 2016; Acc date: Dec 15, 2016; Pub date: Dec 17, 2016 Copyright: © 2016 Zhang C, et al. This is an open-access article distributed under the terms of the creative commons attribution license, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Abstract In recent years, RNA-seq has emerged as a powerful technology in estimation of gene or transcript expression. ‘Union-exon’ and transcript based approaches are widely used in gene quantification. The ‘Union-exon’ based approach is simple, but it does not distinguish between isoforms when multiple alternatively spliced transcripts are expressed from the same gene. Because a gene is expressed in one or more transcript isoforms, the transcript based approach is more biologically meaningful than the ‘union exon’-based approach. -
In This Issue High-Throughput Single Protein Pulling Backpack Recorders for Zebra Finches a Deeper Look at Proteogenomics Genome
NATURE METHODS | VOL.11 NO.11 | NOVEMBER 2014 IN THIS ISSUE software tool that bins genomic fragments that have Improving tools for synthetic first undergone limited preassembly into contigs. biology Their strategy uses a variational Bayesian approach combining sequence composition and correlated To rapidly and reliably engineer biological abundance across multiple samples to produce networks—one of the promises of synthetic sequence assignments. CONCOCT bins genomes with biology—a larger repertoire of regulatory high precision and recall in simulated and real data, elements and better characterization of their providing higher coverage than can typically be performance are needed. Two groups now deliver reached by single-cell sequencing. on each of these aspects. Smolke and colleagues Brief Communication p1144 present a model to predict the expression of a target gene that is regulated by a microRNA and then extend the model to anticipate the High-throughput single protein behavior of genetic circuits that use protein- responsive microRNA switches to detect the pulling concentration of a nuclear protein in mammalian One of the main technical challenges in making cells. Fussenegger and colleagues create a library single-molecule force spectroscopy measurements of protein-responsive ribozymes for translational control and then design a three-input AND gate has been the method’s low-throughput nature, which in mammalian cells that combines transcriptional has precluded the screening of large protein-variant and translational control. libraries. Nash and colleagues now describe a system Articles p1147, p1154, News and Views p1105 that readily enables thousands of protein pulling measurements. They begin with a microspotted DNA array and synthesize proteins in situ with the aid of A deeper look at proteogenomics microfluidics-based cell-free expression technology. -
The Nextprot Knowledgebase in 2020
D328–D334 Nucleic Acids Research, 2020, Vol. 48, Database issue Published online 14 November 2019 doi: 10.1093/nar/gkz995 The neXtProt knowledgebase in 2020: data, tools and usability improvements Monique Zahn-Zabal1, Pierre-Andre´ Michel1, Alain Gateau1,Fred´ eric´ Nikitin1, Mathieu Schaeffer1,2, Estelle Audot1, Pascale Gaudet 1, Paula D. Duek1, Daniel Teixeira1, Valentine Rech de Laval1,2,3, Kasun Samarasinghe1,2,AmosBairoch1,2 and Lydie Lane1,2,* 1CALIPHO group, SIB Swiss Institute of Bioinformatics, Geneva, Switzerland, 2Department of microbiology and molecular medicine, Faculty of Medicine, University of Geneva, Geneva, Switzerland and 3Haute ecole´ specialis´ ee´ de Suisse occidentale, Haute Ecole de Gestion de Geneve,` Carouge, Switzerland Received September 11, 2019; Revised October 10, 2019; Editorial Decision October 11, 2019; Accepted October 18, 2019 ABSTRACT post-translational modifications (PTMs), as well as peptide identified in mass spectrometry experiments and epitopes The neXtProt knowledgebase (https://www.nextprot. recognized by antibodies have been integrated from a num- org) is an integrative resource providing both data ber of resources. By doing so, neXtProt extends the contents on human protein and the tools to explore these. of UniProtKB/Swiss-Prot (2) to provide a more compre- In order to provide comprehensive and up-to-date hensive data set. data, we evaluate and add new data sets. We describe However, data alone is not sufficient for scientists to the incorporation of three new data sets that provide comprehend complex information rapidly. For this reason, expression, function, protein-protein binary interac- neXtProt organizes the information concerning an entry in tion, post-translational modifications (PTM) and vari- several views, with interactive viewers that allow the user to ant information. -
PROTEOMICS the Human Proteome Takes the Spotlight
RESEARCH HIGHLIGHTS PROTEOMICS The human proteome takes the spotlight Two papers report mass spectrometry– big data. “We then thought, include some surpris- based draft maps of the human proteome ‘What is a potentially good ing findings. For example, and provide broadly accessible resources. illustration for the utility Kuster’s team found protein For years, members of the proteomics of such a database?’” says evidence for 430 long inter- community have been trying to garner sup- Kuster. “We very quickly genic noncoding RNAs, port for a large-scale project to exhaustively got to the idea, ‘Why don’t which have been thought map the normal human proteome, including we try to put together the not to be translated into pro- identifying all post-translational modifica- human proteome?’” tein. Pandey’s team refined tions and protein-protein interactions and The two groups took the annotations of 808 genes providing targeted mass spectrometry assays slightly different strategies and also found evidence and antibodies for all human proteins. But a towards this common goal. for the translation of many Nik Spencer/Nature Publishing Group Publishing Nik Spencer/Nature lack of consensus on how to exactly define Pandey’s lab examined 30 noncoding RNAs and pseu- Two groups provide mass the proteome, how to carry out such a mis- normal tissues, including spectrometry evidence for dogenes. sion and whether the technology is ready has adult and fetal tissues, as ~90% of the human proteome. Obtaining evidence for not so far convinced any funding agencies to well as primary hematopoi- the last roughly 10% of pro- fund on such an ambitious project. -
General Assembly and Consortium Meeting 2020
EJP RD GA and Consortium meeting Final program EJP RD General Assembly and Consortium meeting 2020 Online September 14th – 18th Page 1 of 46 EJP RD GA and Consortium meeting Final program Program at a glance: Page 2 of 46 EJP RD GA and Consortium meeting Final program Table of contents Program per day ....................................................................................................................... 4 Plenary GA Session .................................................................................................................. 8 Parallel Session Pillar 1 .......................................................................................................... 10 Parallel Session Pillar 2 .......................................................................................................... 11 Parallel Session Pillar 3 .......................................................................................................... 14 Parallel Session Pillar 4 .......................................................................................................... 16 Experimental data resources available in the EJP RD ............................................................. 18 Introduction to translational research for clinical or pre-clinical researchers .......................... 21 Funding opportunities in EJP RD & How to build a successful proposal ............................... 22 RD-Connect Genome-Phenome Analysis Platform ................................................................. 26 Improvement