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Klima DW, Rabel M, Mandelblatt A, Miklosovich M, Putman T, Smith A. Community-Based Fall Prevention and Exercise Programs for Older Adults. Curr Geri Rep 2021. [DOI: 10.1007/s13670-021-00354-w] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/24/2022]
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Waagmeester A, Stupp G, Burgstaller-Muehlbacher S, Good BM, Griffith M, Griffith OL, Hanspers K, Hermjakob H, Hudson TS, Hybiske K, Keating SM, Manske M, Mayers M, Mietchen D, Mitraka E, Pico AR, Putman T, Riutta A, Queralt-Rosinach N, Schriml LM, Shafee T, Slenter D, Stephan R, Thornton K, Tsueng G, Tu R, Ul-Hasan S, Willighagen E, Wu C, Su AI. Wikidata as a knowledge graph for the life sciences. eLife 2020; 9:e52614. [PMID: 32180547 PMCID: PMC7077981 DOI: 10.7554/elife.52614] [Citation(s) in RCA: 43] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/09/2019] [Accepted: 02/28/2020] [Indexed: 12/22/2022] Open
Abstract
Wikidata is a community-maintained knowledge base that has been assembled from repositories in the fields of genomics, proteomics, genetic variants, pathways, chemical compounds, and diseases, and that adheres to the FAIR principles of findability, accessibility, interoperability and reusability. Here we describe the breadth and depth of the biomedical knowledge contained within Wikidata, and discuss the open-source tools we have built to add information to Wikidata and to synchronize it with source databases. We also demonstrate several use cases for Wikidata, including the crowdsourced curation of biomedical ontologies, phenotype-based diagnosis of disease, and drug repurposing.
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Affiliation(s)
| | - Gregory Stupp
- Department of Integrative Structural and Computational Biology, The Scripps Research InstituteLa JollaUnited States
| | - Sebastian Burgstaller-Muehlbacher
- Center for Integrative Bioinformatics Vienna, Max Perutz Laboratories, University of Vienna and Medical University of ViennaViennaAustria
| | - Benjamin M Good
- Department of Integrative Structural and Computational Biology, The Scripps Research InstituteLa JollaUnited States
| | - Malachi Griffith
- McDonnell Genome Institute, Washington University School of MedicineSt. LouisUnited States
| | - Obi L Griffith
- McDonnell Genome Institute, Washington University School of MedicineSt. LouisUnited States
| | - Kristina Hanspers
- Institute of Data Science and Biotechnology, Gladstone InstitutesSan FranciscoUnited States
| | | | - Toby S Hudson
- School of Chemistry, The University of SydneySydneyAustralia
| | - Kevin Hybiske
- Division of Allergy and Infectious Diseases, Department of Medicine, University of WashingtonSeattleUnited States
| | - Sarah M Keating
- European Bioinformatics Institute (EMBL-EBI)HinxtonUnited Kingdom
| | - Magnus Manske
- Wellcome Trust Sanger InstituteCambridgeUnited Kingdom
| | - Michael Mayers
- Department of Integrative Structural and Computational Biology, The Scripps Research InstituteLa JollaUnited States
| | - Daniel Mietchen
- School of Data Science, University of VirginiaCharlottesvilleUnited States
| | - Elvira Mitraka
- University of Maryland School of MedicineBaltimoreUnited States
| | - Alexander R Pico
- Institute of Data Science and Biotechnology, Gladstone InstitutesSan FranciscoUnited States
| | - Timothy Putman
- Department of Integrative Structural and Computational Biology, The Scripps Research InstituteLa JollaUnited States
| | - Anders Riutta
- Institute of Data Science and Biotechnology, Gladstone InstitutesSan FranciscoUnited States
| | - Nuria Queralt-Rosinach
- Department of Integrative Structural and Computational Biology, The Scripps Research InstituteLa JollaUnited States
| | - Lynn M Schriml
- University of Maryland School of MedicineBaltimoreUnited States
| | - Thomas Shafee
- Department of Animal Plant and Soil Sciences, La Trobe UniversityMelbourneAustralia
| | - Denise Slenter
- Department of Bioinformatics-BiGCaT, NUTRIM, Maastricht UniversityMaastrichtNetherlands
| | | | | | - Ginger Tsueng
- Department of Integrative Structural and Computational Biology, The Scripps Research InstituteLa JollaUnited States
| | - Roger Tu
- Department of Integrative Structural and Computational Biology, The Scripps Research InstituteLa JollaUnited States
| | - Sabah Ul-Hasan
- Department of Integrative Structural and Computational Biology, The Scripps Research InstituteLa JollaUnited States
| | - Egon Willighagen
- Department of Bioinformatics-BiGCaT, NUTRIM, Maastricht UniversityMaastrichtNetherlands
| | - Chunlei Wu
- Department of Integrative Structural and Computational Biology, The Scripps Research InstituteLa JollaUnited States
| | - Andrew I Su
- Department of Integrative Structural and Computational Biology, The Scripps Research InstituteLa JollaUnited States
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Reed AN, Putman T, Sullivan C, Jin L. Application of a nanoflare probe specific to a latency associated transcript for isolation of KHV latently infected cells. Virus Res 2015; 208:129-35. [PMID: 26087404 DOI: 10.1016/j.virusres.2015.06.003] [Citation(s) in RCA: 13] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2015] [Revised: 05/29/2015] [Accepted: 06/01/2015] [Indexed: 11/18/2022]
Abstract
One of the unique features of herpesvirus infection is latent infection following an initial exposure, which is characterized by viral genome persistence in a small fraction of cells within the latently infected tissue. Investigation of the mechanisms of herpesvirus latency has been very challenging in tissues with only a small fraction of cells that are latently infected. Cyprinid herpesvirus 3, also known as koi herpesvirus (KHV), is an important and deadly pathogen of koi and common carp, Cyprinus carpio. Acute infection can cause up to 100% mortality in exposed fish, and fish that survive the infection become latently infected. KHV becomes latent in a small percentage of B lymphocytes and can reactivate under stressful conditions. During latency, KHV ORF6 transcript is expressed in the latently infected B lymphocytes. In order to study KHV latent infection in cells that are only latently infected, a nanoflare probe specific to ORF6 RNA was used to separate KHV latently infected cells from total peripheral white blood cells (WBC). Using the ORF6 nanoflare probe, less than 1% of peripheral WBC was isolated from KHV latently infected koi. When this enriched population of WBC was examined by real-time PCR specific for KHV, it was estimated that about 1-2 copies of viral genome persists in the sorted cells. In addition, KHV ORF6 transcript was shown to be the major transcript expressed during latency by RNA-seq analysis. This study demonstrated that an RNA nanoflare probe could be used to enrich latently infected cells, which can subsequently be used to investigate the molecular mechanisms of KHV latency.
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Affiliation(s)
- Aimee N Reed
- Department of Biomedical Sciences, College of Veterinary Medicine, Oregon State University, Corvallis, OR 97331, United States; Department of Microbiology, College of Science, Oregon State University, Corvallis, OR 97331, United States
| | - Timothy Putman
- Department of Microbiology, College of Science, Oregon State University, Corvallis, OR 97331, United States
| | - Christopher Sullivan
- Center for Genome Research and Biocomputing, Oregon State University, Corvallis, OR 97331, United States
| | - Ling Jin
- Department of Biomedical Sciences, College of Veterinary Medicine, Oregon State University, Corvallis, OR 97331, United States; Department of Microbiology, College of Science, Oregon State University, Corvallis, OR 97331, United States.
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Watson G, Xu W, Reed A, Babra B, Putman T, Wick E, Wechsler SL, Rohrmann GF, Jin L. Sequence and comparative analysis of the genome of HSV-1 strain McKrae. Virology 2012; 433:528-37. [PMID: 23021301 DOI: 10.1016/j.virol.2012.08.043] [Citation(s) in RCA: 31] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2012] [Revised: 07/01/2012] [Accepted: 08/21/2012] [Indexed: 02/04/2023]
Abstract
Ocular infection by HSV-1 strain McKrae is neurovirulent in both mice and rabbits and causes fatal encephalitis in approximately 50% of animals. In addition, it spontaneously reactivates with high frequency relative to other HSV-1 strains in rabbits. We sequenced the McKrae strain genome and compared its coding protein sequences with those of six other HSV-1 strains. Most of the 74 predicted protein sequences are conserved; only eleven are less than 98% conserved. Eight proteins were identified to be unique for McKrae based on sequence homology bit score ratio (BSR). These include five proteins showing significant variations (RL1, RS1, UL49A, US7 and US11), two truncated proteins (UL36 and UL56) and one (US10) containing an extended open reading frame. The McKrae strain also has unique features in its 'a' sequence and non-coding sequences, such as LAT and miRNA. These data are indicative of strain variation but need further work to connect observed differences with phenotype effects.
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Affiliation(s)
- G Watson
- Department of Biomedical Sciences, College of Veterinary Medicine, Oregon State University, Corvallis, OR 97331, USA
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Rocha Lima CM, Eckardt JR, Leong SS, Sherman CA, Perkel JA, Putman T, Safa AR, Bahadori HR, Green MR. Single-agent gemcitabine and gemcitabine/irinotecan combination (irimogem) in non-small cell lung cancer. Semin Oncol 1999; 26:43-50; discussion 71-2. [PMID: 10585008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/14/2023]
Abstract
Gemcitabine is a fluoridated pyrimidine related to cytosine arabinoside that has significant activity in solid tumor models. Irinotecan is a camptothecin analog with an active metabolite, SN-38, which inhibits topoisomerase I activity by stabilizing the topoisomerase I-DNA cleavable complex. Gemcitabine studies in non-small cell lung cancer conducted in the United States, as well as an international collaboration and clinical trials from Europe and Japan, found overall response rates of 20% to 26%, a median duration of response between 5 to 9 months, and a median duration of survival ranging from 7 to 12.3 months. Gemcitabine also has been shown to be more effective than best supportive care in non-small cell lung cancer. In a phase I trial of irinotecan (50, 75, 100, and 115 mg/m2) in combination with 1,000 mg/m2 gemcitabine, three patients had documented partial responses: one with pancreas cancer at irinotecan 100 mg/m2, one with pancreas cancer, and one with metastatic carcinoma of unknown primary at irinotecan 115 mg/m2. Three of five non-small cell lung cancer patients had stable disease for four or more cycles at irinotecan doses of 50, 75, and 100 mg/m2; no non-small cell lung cancer patients were treated at irinotecan 115 mg/m2. We recommend that a combination of gemcitabine 1,000 mg/m2 and irinotecan 100 mg/m2 given on days 1 and 8 every 3 weeks be used as the starting dose in future phase II studies. Furthermore, based on the absence of severe nonhematologic toxicity or grade IV hematologic toxicity in the majority of patients treated at the highest dose, escalation of irinotecan to 115 mg/m2 may be considered for subsequent cycles in patients who do not experience > or =grade I hematologic or non-hematologic toxicity during the first cycle of gemcitabine/irinotecan combination chemotherapy.
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Affiliation(s)
- C M Rocha Lima
- Hollings Cancer Center, Department of Medicine, Medical University of South Carolina, Charleston 29525, USA
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Lindinger MI, Spriet LL, Hultman E, Putman T, McKelvie RS, Lands LC, Jones NL, Heigenhauser GJ. Plasma volume and ion regulation during exercise after low- and high-carbohydrate diets. Am J Physiol 1994; 266:R1896-906. [PMID: 8024045 DOI: 10.1152/ajpregu.1994.266.6.r1896] [Citation(s) in RCA: 23] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
This study compared plasma volume (PV) and ion regulation during prolonged exercise in control vs. glycogen-depleted (GD) conditions, with emphasis on the initial minutes of exercise. In two trials separated by 1-2 wk, four adult males cycled at 75% of peak oxygen consumption (VO2) until exhaustion (50 +/- 7 min for GD) or until the GD exhaustion time in the control trial. Blood was sampled from catheters placed in the brachial artery and retrograde in the femoral vein (fv). Arterial PV decreased rapidly and by 15 min PV was 83% (control) and 88% (GD) of initial. The decrease in PV was accompanied by a net osmotic flux of water from plasma and inactive tissues to contracting muscles. The significantly greater decrease in PV in control compared with GD was associated with a higher muscle lactate content (Lac-; 36 vs. 17 mumol/g dry wt, respectively). Increases in plasma [Cl-] and [Na+] were less than predicted from decreased PV, indicating net loss of these ions from the plasma compartment. Increases in arterial and fv [K+] were 50% greater than could be accounted for by decreased PV, corresponding with increased arterial and fv plasma K+ contents. The rapid net release of K+ and Lac- from contracting muscle during the first few minutes of exercise in both trials was abolished (control) or reversed (GD) within 15 min of beginning exercise.(ABSTRACT TRUNCATED AT 250 WORDS)
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Affiliation(s)
- M I Lindinger
- School of Human Biology, University of Guelph, Canada
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