Richard H. Scheuermann

ORCID: 0000-0003-1355-892X
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About
Contact & Profiles
Research Areas
  • Single-cell and spatial transcriptomics
  • Biomedical Text Mining and Ontologies
  • Bioinformatics and Genomic Networks
  • Cell Image Analysis Techniques
  • vaccines and immunoinformatics approaches
  • T-cell and B-cell Immunology
  • Immune Cell Function and Interaction
  • Gene expression and cancer classification
  • SARS-CoV-2 and COVID-19 Research
  • Immunotherapy and Immune Responses
  • Neuroinflammation and Neurodegeneration Mechanisms
  • Influenza Virus Research Studies
  • RNA Research and Splicing
  • Cytomegalovirus and herpesvirus research
  • Monoclonal and Polyclonal Antibodies Research
  • Genomics and Phylogenetic Studies
  • Semantic Web and Ontologies
  • RNA and protein synthesis mechanisms
  • Viral gastroenteritis research and epidemiology
  • Viral Infections and Immunology Research
  • Respiratory viral infections research
  • Herpesvirus Infections and Treatments
  • Viral-associated cancers and disorders
  • Gene Regulatory Network Analysis
  • Extracellular vesicles in disease

J. Craig Venter Institute
2016-2025

National Institutes of Health
2014-2025

United States National Library of Medicine
2024-2025

University of California, San Diego
2015-2024

La Jolla Institute for Immunology
2016-2024

Global Virus Network
2019-2023

Arizona State University
2023

Delft University of Technology
2020

InSituTec (United States)
2020

Fred Hutch Cancer Center
2014-2016

The Virus Pathogen Database and Analysis Resource (ViPR, www.ViPRbrc.org) is an integrated repository of data analysis tools for multiple virus families, supported by the National Institute Allergy Infectious Diseases (NIAID) Bioinformatics Centers (BRC) program. ViPR contains information human pathogenic viruses belonging to Arenaviridae, Bunyaviridae, Caliciviridae, Coronaviridae, Flaviviridae, Filoviridae, Hepeviridae, Herpesviridae, Paramyxoviridae, Picornaviridae, Poxviridae,...

10.1093/nar/gkr859 article EN cc-by-nc Nucleic Acids Research 2011-10-17
Ni Huang Paola Pérez Takafumi Kato Yu Mikami Kenichi Okuda and 90 more Rodney C. Gilmore Cecilia Domínguez Conde Billel Gasmi Sydney Stein Margaret Beach Eileen Pelayo José O. Maldonado Bernard A. P. Lafont Shyh-Ing Jang Nadia Nasir Ricardo J. Padilla Valerie A. Murrah Robert Maile William Lovell Shannon M. Wallet Natalie M. Bowman Suzanne L. Meinig Matthew C. Wolfgang Saibyasachi N. Choudhury Mark Novotny Brian D. Aevermann Richard H. Scheuermann Gabrielle Cannon Carlton W. Anderson Rhianna E. Lee Julie T. Marchesan Mandy Bush Marcelo Freire Adam J. Kimple Daniel Herr Joseph Rabin Alison Grazioli Sanchita Das Benjamin French Thomas Pranzatelli John A. Chiorini David E. Kleiner Stefania Pittaluga Stephen M. Hewitt Peter D. Burbelo Daniel S. Chertow David E. Kleiner Michelly Sampaio De Melo Esra Dikoglu Sabina Desar Kris Ylaya Joon‐Yong Chung Grace Smith Daniel S. Chertow Kevin M. Vannella Marcos J. Ramos-Benítez Sabrina Ramelli Shelly Samet Ashley L. Babyak Luis Perez Valencia Mary Richert Nicole Hays Madeleine Purcell Shreya Singireddy Jocelyn Wu Joon‐Yong Chung Amy Borth Kimberly Bowers Anne Weichold Douglas Tran Ronson J. Madathil Eric Krause Daniel Herr Joseph Rabin Joseph A. Herrold Ali Tabatabai Eric Hochberg Christopher R. Cornachione Andrea R. Levine Michael T. McCurdy Kapil Saharia Zack Chancer Michael Mazzeffi Justin E. Richards James W. Eagan Yashvir Sangwan Inês Sequeira Sarah A. Teichmann Adam J. Kimple Karen M. Frank Janice S. Lee Richard C. Boucher Sarah A. Teichmann Blake M. Warner Kevin M. Byrd

Despite signs of infection—including taste loss, dry mouth and mucosal lesions such as ulcerations, enanthema macules—the involvement the oral cavity in coronavirus disease 2019 (COVID-19) is poorly understood. To address this, we generated analyzed two single-cell RNA sequencing datasets human minor salivary glands gingiva (9 samples, 13,824 cells), identifying 50 cell clusters. Using integrated normalization annotation, classified 34 unique subpopulations between gingiva. Severe acute...

10.1038/s41591-021-01296-8 article EN other-oa Nature Medicine 2021-03-25

Abstract The National Institute of Allergy and Infectious Diseases (NIAID) established the Bioinformatics Resource Center (BRC) program to assist researchers with analyzing growing body genome sequence other omics-related data. In this report, we describe merger PAThosystems Integration (PATRIC), Influenza Research Database (IRD) Virus Pathogen Analysis (ViPR) BRCs form Bacterial Viral (BV-BRC) https://www.bv-brc.org/. combined BV-BRC leverages functionality bacterial viral resources provide...

10.1093/nar/gkac1003 article EN cc-by-nc Nucleic Acids Research 2022-11-09
Trygve E. Bakken Nikolas L. Jorstad Qiwen Hu Blue B. Lake Wei Tian and 95 more Brian Kalmbach Megan Crow Rebecca D. Hodge Fenna M. Krienen Staci A. Sorensen Jeroen Eggermont Zizhen Yao Brian D. Aevermann Andrew Aldridge Anna Bartlett Darren Bertagnolli Tamara Casper Rosa Castanon Kirsten Crichton Tanya L. Daigle Rachel Dalley Nick Dee Nikolai Dembrow Dinh Diep Song‐Lin Ding Weixiu Dong Rongxin Fang Stephan Fischer Melissa Goldman Jeff Goldy Lucas T. Graybuck Brian R. Herb Xiaomeng Hou Jayaram Kancherla Matthew Kroll Kanan Lathia Baldur van Lew Yang Eric Li Christine S. Liu Hanqing Liu Jacinta Lucero Anup Mahurkar Delissa McMillen Jeremy A. Miller Marmar R. Moussa Joseph R. Nery Philip R. Nicovich Sheng-Yong Niu Joshua Orvis Julia Osteen Scott F. Owen Carter R. Palmer Thanh Pham Nongluk Plongthongkum Olivier Poirion Nora Reed Christine Rimorin Angeline Rivkin William J. Romanow Adriana E. Sedeño-Cortés Kimberly Siletti Saroja Somasundaram Josef Šulc Michael Tieu Amy Torkelson Herman Tung Xinxin Wang Fangming Xie Anna Marie Yanny Yun Zhang Seth A. Ament M. Margarita Behrens Héctor Corrada Bravo Jerold Chun Alexander Dobin Jesse Gillis Ronna Hertzano Patrick R. Hof Thomas Höllt Gregory D. Horwitz C. Dirk Keene Peter V. Kharchenko Andrew L. Ko Boudewijn P. F. Lelieveldt Chongyuan Luo Eran A. Mukamel António Pinto‐Duarte Sebastian Preißl Aviv Regev Bing Ren Richard H. Scheuermann Kimberly A. Smith William J. Spain Owen White Christof Koch Michael Hawrylycz Bosiljka Tasic Evan Z. Macosko Steven A. McCarroll Jonathan T. Ting

Abstract The primary motor cortex (M1) is essential for voluntary fine-motor control and functionally conserved across mammals 1 . Here, using high-throughput transcriptomic epigenomic profiling of more than 450,000 single nuclei in humans, marmoset monkeys mice, we demonstrate a broadly cellular makeup this region, with similarities that mirror evolutionary distance are consistent between the transcriptome epigenome. core molecular identities neuronal non-neuronal cell types allow us to...

10.1038/s41586-021-03465-8 article EN cc-by Nature 2021-10-06

In this analysis, the authors directly compared performance of flow cytometry data processing algorithms to manual gating approaches. The results offer information practical utility about as applied different sets and challenges. Traditional methods for (FCM) rely on subjective gating. Recently, several groups have developed computational identifying cell populations in multidimensional FCM data. Flow Cytometry: Critical Assessment Population Identification Methods (FlowCAP) challenges were...

10.1038/nmeth.2365 article EN cc-by-nc-sa Nature Methods 2013-02-10

Transcriptomic profiling of complex tissues by single-nucleus RNA-sequencing (snRNA-seq) affords some advantages over single-cell (scRNA-seq). snRNA-seq provides less biased cellular coverage, does not appear to suffer cell isolation-based transcriptional artifacts, and can be applied archived frozen specimens. We used well-matched scRNA-seq datasets from mouse visual cortex compare type detection. Although more transcripts are detected in individual whole cells (~11,000 genes) than nuclei...

10.1371/journal.pone.0209648 article EN cc-by PLoS ONE 2018-12-26

Abstract A fundamental tenet of scientific research is that published results are open to independent validation and refutation. Minimum data standards aid providers, users, publishers by providing a specification what required unambiguously interpret experimental findings. Here, we present the Information about Flow Cytometry Experiment (MIFlowCyt) standard, stating minimum information report flow cytometry (FCM) experiments. We brought together cross‐disciplinary international...

10.1002/cyto.a.20623 article EN Cytometry Part A 2008-08-27

The mutation rate of Escherichia coli increases approximately 100-fold after treatment with replication-inhibiting agents such as UV light. This enhanced requires the action UmuD and UmuC proteins, which are induced part SOS response to DNA damage. To initiate a biochemical characterization role these we have developed plasmid system that gives efficient expression umuD umuC genes. genes were placed under control regulated phage lambda PL promoter synthetic ribosome-binding site, distance...

10.1073/pnas.85.6.1811 article EN Proceedings of the National Academy of Sciences 1988-03-01

The Influenza Research Database (IRD) is a U.S. National Institute of Allergy and Infectious Diseases (NIAID)-sponsored Bioinformatics Resource Center dedicated to providing bioinformatics support for influenza virus research. IRD facilitates the research development vaccines, diagnostics therapeutics against by comprehensive collection influenza-related data integrated from various sources, growing suite analysis visualization tools mining hypothesis generation, personal workbench spaces...

10.1093/nar/gkw857 article EN cc-by Nucleic Acids Research 2016-09-26

The Ontology for Biomedical Investigations (OBI) is an ontology that provides terms with precisely defined meanings to describe all aspects of how investigations in the biological and medical domains are conducted. OBI re-uses ontologies provide a representation biomedical knowledge from Open Biological Ontologies (OBO) project adds ability this was derived. We here state several applications using it, such as adding semantic expressivity existing databases, building data entry forms,...

10.1371/journal.pone.0154556 article EN public-domain PLoS ONE 2016-04-29

A major concern about the ongoing swine-origin H1N1 influenza virus (S-OIV) outbreak is that may be so different from seasonal little immune protection exists in human population. In this study, we examined molecular basis for pre-existing immunity against S-OIV, namely recognition of viral epitopes by T cells or B cells/antibodies have been previously primed circulating strains. Using data Immune Epitope Database, found only 31% (8/26) B-cell present recently strains are conserved with 17%...

10.1073/pnas.0911580106 article EN Proceedings of the National Academy of Sciences 2009-11-17

Please cite this paper as: Squires et al. (2012) Influenza research database: an integrated bioinformatics resource for influenza and surveillance. Other Respiratory Viruses 6(6), 404–416. Background The recent emergence of the 2009 pandemic A/H1N1 virus has highlighted value free open access to genome sequence data with information about other important characteristics. Design Research Database (IRD, http://www.fludb.org ) is a free, open, publicly‐accessible funded by U.S. National...

10.1111/j.1750-2659.2011.00331.x article EN other-oa Influenza and Other Respiratory Viruses 2012-01-20

Abstract Standardization of immunophenotyping requires careful attention to reagents, sample handling, instrument setup, and data analysis, is essential for successful cross-study cross-center comparison data. Experts developed five standardized, eight-color panels identification major immune cell subsets in peripheral blood. These were produced as pre-configured, lyophilized, reagents 96-well plates. We present the results a coordinated analysis samples across nine laboratories using these...

10.1038/srep20686 article EN cc-by Scientific Reports 2016-02-10

A fundamental goal in the biological sciences is definition of groups organisms based on evolutionary history and naming those groups. For influenza viruses (IAVs) swine, understanding hemagglutinin (HA) genetic lineage a circulating strain aids vaccine antigen selection allows for inferences about efficacy. Previous reporting H1 virus HA swine relied colloquial names, frequently with incriminating stigmatizing geographic toponyms, making comparisons between studies challenging. To overcome...

10.1128/msphere.00275-16 article EN cc-by mSphere 2016-12-15
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