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Vidović D, Waller A, Holmes J, Sklar LA, Schürer SC. Best practices for managing and disseminating resources and outreach and evaluating the impact of the IDG Consortium. Drug Discov Today 2024; 29:103953. [PMID: 38508231 DOI: 10.1016/j.drudis.2024.103953] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2023] [Revised: 03/08/2024] [Accepted: 03/14/2024] [Indexed: 03/22/2024]
Abstract
The Illuminating the Druggable Genome (IDG) consortium generated reagents, biological model systems, data, informatic databases, and computational tools. The Resource Dissemination and Outreach Center (RDOC) played a central administrative role, organized internal meetings, fostered collaboration, and coordinated consortium-wide efforts. The RDOC developed and deployed a Resource Management System (RMS) to enable efficient workflows for collecting, accessing, validating, registering, and publishing resource metadata. IDG policies for repositories and standardized representations of resources were established, adopting the FAIR (findable, accessible, interoperable, reusable) principles. The RDOC also developed metrics of IDG impact. Outreach initiatives included digital content, the Protein Illumination Timeline (representing milestones in generating data and reagents), the Target Watch publication series, the e-IDG Symposium series, and leveraging social media platforms.
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Affiliation(s)
- Dušica Vidović
- Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL, USA; Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA
| | - Anna Waller
- Department of Pathology, Health Sciences Center, University of New Mexico, Albuquerque, NM, USA
| | - Jayme Holmes
- Translational Informatics Division, Department of Internal Medicine, University of New Mexico School of Medicine, Albuquerque, NM, USA
| | - Larry A Sklar
- Department of Pathology, Health Sciences Center, University of New Mexico, Albuquerque, NM, USA; Autophagy, Inflammation, & Metabolism (AIM) Center, University of New Mexico, Albuquerque, NM, USA
| | - Stephan C Schürer
- Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL, USA; Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL, USA; Frost Institute for Data Science & Computing, University of Miami, Miami, FL, USA.
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2
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Amirali A, Babler KM, Sharkey ME, Beaver CC, Boone MM, Comerford S, Cooper D, Currall BB, Goodman KW, Grills GS, Kobetz E, Kumar N, Laine J, Lamar WE, Mason CE, Reding BD, Roca MA, Ryon K, Schürer SC, Shukla BS, Solle NS, Stevenson M, Tallon JJ, Vidović D, Williams SL, Yin X, Solo-Gabriele HM. Wastewater based surveillance can be used to reduce clinical testing intensity on a university campus. Sci Total Environ 2024; 918:170452. [PMID: 38296085 PMCID: PMC10923133 DOI: 10.1016/j.scitotenv.2024.170452] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 12/30/2023] [Accepted: 01/19/2024] [Indexed: 02/07/2024]
Abstract
Clinical testing has been a vital part of the response to and suppression of the COVID-19 pandemic; however, testing imposes significant burdens on a population. College students had to contend with clinical testing while simultaneously dealing with health risks and the academic pressures brought on by quarantines, changes to virtual platforms, and other disruptions to daily life. The objective of this study was to analyze whether wastewater surveillance can be used to decrease the intensity of clinical testing while maintaining reliable measurements of diseases incidence on campus. Twelve months of human health and wastewater surveillance data for eight residential buildings on a university campus were analyzed to establish how SARS-CoV-2 levels in the wastewater can be used to minimize clinical testing burden on students. Wastewater SARS-CoV-2 levels were used to create multiple scenarios, each with differing levels of testing intensity, which were compared to the actual testing volumes implemented by the university. We found that scenarios in which testing intensity fluctuations matched rise and falls in SARS-CoV-2 wastewater levels had stronger correlations between SARS-CoV-2 levels and recorded clinical positives. In addition to stronger correlations, most scenarios resulted in overall fewer weekly clinical tests performed. We suggest the use of wastewater surveillance to guide COVID-19 testing as it can significantly increase the efficacy of COVID-19 surveillance while reducing the burden placed on college students during a pandemic. Future efforts should be made to integrate wastewater surveillance into clinical testing strategies implemented on college campuses.
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Affiliation(s)
- Ayaaz Amirali
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA
| | - Kristina M Babler
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA
| | - Mark E Sharkey
- Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136, FL, USA
| | - Cynthia C Beaver
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Melinda M Boone
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Samuel Comerford
- Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136, FL, USA
| | | | - Benjamin B Currall
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Kenneth W Goodman
- Frost Institute for Data Science & Computing, University of Miami, Coral Gables, FL 33146, USA; Institute for Bioethics and Health Policy, University of Miami Miller School of Medicine, Miami, 33136, FL, USA
| | - George S Grills
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Erin Kobetz
- Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136, FL, USA
| | - Naresh Kumar
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Jennifer Laine
- Environmental Health and Safety, University of Miami, Miami, FL 33136, USA
| | - Walter E Lamar
- Division of Occupational Health, Safety & Compliance, University of Miami Health System, Miami, FL 33136, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY 10021, USA; The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA; The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA
| | - Brian D Reding
- Environmental Health and Safety, University of Miami, Miami, FL 33136, USA
| | - Matthew A Roca
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA
| | - Krista Ryon
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY 10021, USA
| | - Stephan C Schürer
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA; Department of Molecular & Cellular Pharmacology, University of Miami Miller School of Medicines, Miami, FL 33136, USA; Institute for Data Science & Computing, University of Miami, Coral Gables, FL 33146, USA
| | - Bhavarth S Shukla
- Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136, FL, USA
| | - Natasha Schaefer Solle
- Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136, FL, USA; Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Mario Stevenson
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA
| | - John J Tallon
- Facilities and Operations, University of Miami, Coral Gables, FL 33146, USA
| | - Dušica Vidović
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA
| | - Sion L Williams
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136, USA
| | - Xue Yin
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA
| | - Helena M Solo-Gabriele
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146, USA.
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3
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Babler KM, Sharkey ME, Amirali A, Boone MM, Comerford S, Currall BB, Grills GS, Laine J, Mason CE, Reding B, Schürer S, Stevenson M, Vidović D, Williams SL, Solo-Gabriele HM. Expanding a Wastewater-Based Surveillance Methodology for DNA Isolation from a Workflow Optimized for SARS-CoV-2 RNA Quantification. J Biomol Tech 2023; 34:3fc1f5fe.dfa8d906. [PMID: 38268997 PMCID: PMC10805363 DOI: 10.7171/3fc1f5fe.dfa8d906] [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] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/26/2024]
Abstract
Wastewater-based surveillance (WBS) is a noninvasive, epidemiological strategy for assessing the spread of COVID-19 in communities. This strategy was based upon wastewater RNA measurements of the viral target, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). The utility of WBS for assessing the spread of COVID-19 has motivated research to measure targets beyond SARS-CoV-2, including pathogens containing DNA. The objective of this study was to establish the necessary steps for isolating DNA from wastewater by modifying a long-standing RNA-specific extraction workflow optimized for SARS-CoV-2 detection. Modifications were made to the sample concentration process and included an evaluation of bead bashing prior to the extraction of either DNA or RNA. Results showed that bead bashing reduced detection of RNA from wastewater but improved recovery of DNA as assessed by quantitative polymerase chain reaction (qPCR). Bead bashing is therefore not recommended for the quantification of RNA viruses using qPCR. Whereas for Mycobacterium bacterial DNA isolation, bead bashing was necessary for improving qPCR quantification. Overall, we recommend 2 separate workflows, one for RNA viruses that does not include bead bashing and one for other microbes that use bead bashing for DNA isolation. The experimentation done here shows that current-standing WBS program methodologies optimized for SARS-CoV-2 need to be modified and reoptimized to allow for alternative pathogens to be readily detected and monitored, expanding its utility as a tool for public health assessment.
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Affiliation(s)
- Kristina M. Babler
- Department of ChemicalEnvironmental and Materials
EngineeringUniversity of MiamiCoral GablesFlorida33124USA
| | - Mark E. Sharkey
- Department of MedicineUniversity of Miami Miller School
of MedicineMiamiFlorida33136USA
| | - Ayaaz Amirali
- Department of ChemicalEnvironmental and Materials
EngineeringUniversity of MiamiCoral GablesFlorida33124USA
| | - Melinda M. Boone
- Sylvester Comprehensive Cancer CenterUniversity of Miami
Miller School of MedicineMiamiFlorida33136USA
| | - Samuel Comerford
- Department of MedicineUniversity of Miami Miller School
of MedicineMiamiFlorida33136USA
| | - Benjamin B. Currall
- Sylvester Comprehensive Cancer CenterUniversity of Miami
Miller School of MedicineMiamiFlorida33136USA
| | - George S. Grills
- Sylvester Comprehensive Cancer CenterUniversity of Miami
Miller School of MedicineMiamiFlorida33136USA
| | - Jennifer Laine
- Environmental Health and SafetyUniversity of MiamiMiamiFlorida33136USA
| | - Christopher E. Mason
- Department of Physiology and BiophysicsWeill Cornell
MedicineNew YorkNew York10065USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Al-Saud
Institute for Computational BiomedicineWeill Cornell MedicineNew
YorkNew York10065USA
- The WorldQuant Initiative for Quantitative PredictionWeill Cornell MedicineNew YorkNew YorkUSA 10065USA
| | - Brian Reding
- Environmental Health and SafetyUniversity of MiamiMiamiFlorida33136USA
| | - Stephan Schürer
- Sylvester Comprehensive Cancer CenterUniversity of Miami
Miller School of MedicineMiamiFlorida33136USA
- Department of Molecular and Cellular PharmacologyUniversity of Miami Miller School of MedicineMiamiFlorida33136USA
- Institute for Data Science & Computing, University of
MiamiCoral GablesFlorida33146USA
| | - Mario Stevenson
- Department of MedicineUniversity of Miami Miller School
of MedicineMiamiFlorida33136USA
| | - Dušica Vidović
- Department of Molecular and Cellular PharmacologyUniversity of Miami Miller School of MedicineMiamiFlorida33136USA
| | - Sion L. Williams
- Sylvester Comprehensive Cancer CenterUniversity of Miami
Miller School of MedicineMiamiFlorida33136USA
| | - Helena M. Solo-Gabriele
- Department of ChemicalEnvironmental and Materials
EngineeringUniversity of MiamiCoral GablesFlorida33124USA
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4
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Sharkey ME, Babler KM, Shukla BS, Abelson SM, Alsuliman B, Amirali A, Comerford S, Grills GS, Kumar N, Laine J, Lee J, Lamar WE, Mason CE, Penso J, Reding BD, Schürer SC, Stevenson M, Vidović D, Solo-Gabriele HM. Monkeypox viral nucleic acids detected using both DNA and RNA extraction workflows. Sci Total Environ 2023; 890:164289. [PMID: 37216988 PMCID: PMC10213602 DOI: 10.1016/j.scitotenv.2023.164289] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 05/15/2023] [Accepted: 05/15/2023] [Indexed: 05/24/2023]
Abstract
Molecular methods have been used to detect human pathogens in wastewater with sampling typically performed at wastewater treatment plants (WWTP) and upstream locations within the sewer system. A wastewater-based surveillance (WBS) program was established at the University of Miami (UM) in 2020, which included measurements of SARS-CoV-2 levels in wastewater from its hospital and within the regional WWTP. In addition to the development of a SARS-CoV-2 quantitative PCR (qPCR) assay, qPCR assays to detect other human pathogens of interest were also developed at UM. Here we report on the use of a modified set of reagents published by the CDC to detect nucleic acids of Monkeypox virus (MPXV) which emerged during May of 2022 to become a concern worldwide. Samples collected from the University hospital and from the regional WWTP were processed through DNA and RNA workflows and analyzed by qPCR to detect a segment of the MPXV CrmB gene. Results show positive detections of MPXV nucleic acids in the hospital and wastewater treatment plant wastewater which coincided with clinical cases in the community and mirrored the overall trend of nationwide MPXV cases reported to the CDC. We recommend the expansion of current WBS programs' methods to detect a broader range of pathogens of concern in wastewater and present evidence that viral RNA in human cells infected by a DNA virus can be detected in wastewater.
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Affiliation(s)
- Mark E Sharkey
- Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Kristina M Babler
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL, USA
| | - Bhavarth S Shukla
- Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Samantha M Abelson
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Bader Alsuliman
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Ayaaz Amirali
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL, USA
| | - Samuel Comerford
- Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - George S Grills
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Naresh Kumar
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Jennifer Laine
- Environmental Health and Safety, University of Miami, Miami, FL, USA
| | - Jisue Lee
- University of Miami Health System, Miami, FL, USA
| | - Walter E Lamar
- Facilities Safety & Compliance, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Christopher E Mason
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY, USA
| | - Johnathon Penso
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Brian D Reding
- Environmental Health and Safety, University of Miami, Miami, FL, USA
| | - Stephan C Schürer
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA; Department of Molecular & Cellular Pharmacology, University of Miami Miller School of Medicines, Miami, FL, USA; Institute for Data Science & Computing, University of Miami, Coral Gables, FL, USA
| | - Mario Stevenson
- Department of Medicine, University of Miami Miller School of Medicine, Miami, FL, USA
| | - Dušica Vidović
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL, USA; Department of Molecular & Cellular Pharmacology, University of Miami Miller School of Medicines, Miami, FL, USA
| | - Helena M Solo-Gabriele
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL, USA.
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5
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Zhan Q, Solo-Gabriele HM, Sharkey ME, Amirali A, Beaver CC, Boone MM, Comerford S, Cooper D, Cortizas EM, Cosculluela GA, Currall BB, Grills GS, Kobetz E, Kumar N, Laine J, Lamar WE, Lyu J, Mason CE, Reding BD, Roca MA, Schürer SC, Shukla BS, Solle NS, Suarez MM, Stevenson M, Tallon JJ, Thomas C, Vidović D, Williams SL, Yin X, Zarnegarnia Y, Babler KM. Correlative analysis of wastewater trends with clinical cases and hospitalizations through five dominant variant waves of COVID-19. ACS ES T Water 2023; 3:2849-2862. [PMID: 38487696 PMCID: PMC10936583 DOI: 10.1021/acsestwater.3c00032] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/17/2024]
Abstract
Wastewater-based epidemiology (WBE) has been utilized to track community infections of Coronavirus Disease 2019 (COVID-19) by detecting RNA of the severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), within samples collected from wastewater. The correlations between community infections and wastewater measurements of the RNA can potentially change as SARS-CoV-2 evolves into new variations by mutating. This study analyzed SARS-CoV-2 RNA, and indicators of human waste in wastewater from two sewersheds of different scales (University of Miami (UM) campus and Miami-Dade County Central District wastewater treatment plant (CDWWTP)) during five internally defined COVID-19 variant dominant periods (Initial, Pre-Delta, Delta, Omicron and Post-Omicron wave). SARS-CoV-2 RNA quantities were compared against COVID-19 clinical cases and hospitalizations to evaluate correlations with wastewater SARS-CoV-2 RNA. Although correlations between documented clinical cases and hospitalizations were high, prevalence for a given wastewater SARS-CoV-2 level varied depending upon the variant analyzed. The correlative relationship was significantly steeper (more cases per level found in wastewater) for the Omicron-dominated period. For hospitalization, the relationships were steepest for the Initial wave, followed by the Delta wave with flatter slopes during all other waves. Overall results were interpreted in the context of SARS-CoV-2 virulence and vaccination rates among the community.
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Affiliation(s)
- Qingyu Zhan
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146 USA
| | - Helena Maria Solo-Gabriele
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146 USA
| | - Mark E. Sharkey
- Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136 FL USA
| | - Ayaaz Amirali
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146 USA
| | - Cynthia C. Beaver
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136 USA
| | - Melinda M. Boone
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136 USA
| | - Samuel Comerford
- Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136 FL USA
| | | | - Elena M. Cortizas
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136 USA
| | - Gabriella A. Cosculluela
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146 USA
| | - Benjamin B. Currall
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136 USA
| | - George S. Grills
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136 USA
| | - Erin Kobetz
- Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136 FL USA
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136 USA
| | - Naresh Kumar
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136 USA
| | - Jennifer Laine
- Environmental Health and Safety, University of Miami, Miami, FL 33136 USA
| | - Walter E. Lamar
- Division of Occupational Health, Safety & Compliance, University of Miami Health System, Miami, FL 33136 USA
| | - Jiangnan Lyu
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136 USA
| | - Christopher E. Mason
- Department of Physiology and Biophysics, Weill Cornell Medical College, New York City, NY 10021 USA
- The HRH Prince Alwaleed Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine, Weill Cornell Medicine, New York, NY 10021, USA
- The WorldQuant Initiative for Quantitative Prediction, Weill Cornell Medicine, New York, NY 10021, USA
| | - Brian D. Reding
- Environmental Health and Safety, University of Miami, Miami, FL 33136 USA
| | - Matthew A. Roca
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146 USA
| | - Stephan C. Schürer
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136 USA
- Department of Molecular & Cellular Pharmacology, University of Miami Miller School of Medicines, Miami, FL 33136 USA
- Institute for Data Science & Computing, University of Miami, Coral Gables, FL 33146 USA
| | - Bhavarth S. Shukla
- Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136 FL USA
| | - Natasha Schaefer Solle
- Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136 FL USA
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136 USA
| | - Maritza M. Suarez
- Department of Medicine, University of Miami Miller School of Medicine, Miami, 33136 FL USA
| | - Mario Stevenson
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146 USA
| | - John J. Tallon
- Facilities and Operations, University of Miami, Coral Gables, FL 33146 USA
| | - Collette Thomas
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146 USA
| | - Dušica Vidović
- Department of Molecular & Cellular Pharmacology, University of Miami Miller School of Medicines, Miami, FL 33136 USA
| | - Sion L. Williams
- Sylvester Comprehensive Cancer Center, University of Miami Miller School of Medicine, Miami, FL 33136 USA
| | - Xue Yin
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146 USA
| | - Yalda Zarnegarnia
- Department of Public Health Sciences, University of Miami Miller School of Medicine, Miami, FL 33136 USA
| | - Kristina Marie Babler
- Department of Chemical, Environmental, and Materials Engineering, University of Miami, Coral Gables, FL 33146 USA
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6
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Kelleher KJ, Sheils TK, Mathias SL, Yang JJ, Metzger V, Siramshetty V, Nguyen DT, Jensen LJ, Vidović D, Schürer S, Holmes J, Sharma K, Pillai A, Bologa C, Edwards J, Mathé E, Oprea T. Pharos 2023: an integrated resource for the understudied human proteome. Nucleic Acids Res 2022; 51:D1405-D1416. [PMID: 36624666 PMCID: PMC9825581 DOI: 10.1093/nar/gkac1033] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2022] [Revised: 10/12/2022] [Accepted: 11/28/2022] [Indexed: 11/30/2022] Open
Abstract
The Illuminating the Druggable Genome (IDG) project aims to improve our understanding of understudied proteins and our ability to study them in the context of disease biology by perturbing them with small molecules, biologics, or other therapeutic modalities. Two main products from the IDG effort are the Target Central Resource Database (TCRD) (http://juniper.health.unm.edu/tcrd/), which curates and aggregates information, and Pharos (https://pharos.nih.gov/), a web interface for fusers to extract and visualize data from TCRD. Since the 2021 release, TCRD/Pharos has focused on developing visualization and analysis tools that help reveal higher-level patterns in the underlying data. The current iterations of TCRD and Pharos enable users to perform enrichment calculations based on subsets of targets, diseases, or ligands and to create interactive heat maps and UpSet charts of many types of annotations. Using several examples, we show how to address disease biology and drug discovery questions through enrichment calculations and UpSet charts.
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Affiliation(s)
- Keith J Kelleher
- National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA
| | - Timothy K Sheils
- National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA
| | - Stephen L Mathias
- Translational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Jeremy J Yang
- Translational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Vincent T Metzger
- Translational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Vishal B Siramshetty
- National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA
| | - Dac-Trung Nguyen
- National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA
| | - Lars Juhl Jensen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen 2200, Copenhagen, Denmark
| | - Dušica Vidović
- Institute for Data Science and Computing, University of Miami, Coral Gables, FL 33146, USA,Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Stephan C Schürer
- Institute for Data Science and Computing, University of Miami, Coral Gables, FL 33146, USA,Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA,Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Jayme Holmes
- Translational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Karlie R Sharma
- National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA
| | - Ajay Pillai
- National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA
| | - Cristian G Bologa
- Translational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Jeremy S Edwards
- Correspondence may also be addressed to Jeremy Edwards. Tel: +1 505 277 6655;
| | - Ewy A Mathé
- To whom correspondence should be addressed. Tel: +1 301 402 8953;
| | - Tudor I Oprea
- Translational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
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7
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Zhan Q, Babler KM, Sharkey ME, Amirali A, Beaver CC, Boone MM, Comerford S, Cooper D, Cortizas EM, Currall BB, Foox J, Grills GS, Kobetz E, Kumar N, Laine J, Lamar WE, Mantero AM, Mason CE, Reding BD, Robertson M, Roca MA, Ryon K, Schürer SC, Shukla BS, Solle NS, Stevenson M, Tallon Jr JJ, Thomas C, Thomas T, Vidović D, Williams SL, Yin X, Solo-Gabriele HM. Relationships between SARS-CoV-2 in Wastewater and COVID-19 Clinical Cases and Hospitalizations, with and without Normalization against Indicators of Human Waste. ACS ES T Water 2022; 2:1992-2003. [PMID: 36398131 PMCID: PMC9664448 DOI: 10.1021/acsestwater.2c00045] [Citation(s) in RCA: 36] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/05/2023]
Abstract
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) in wastewater has been used to track community infections of coronavirus disease-2019 (COVID-19), providing critical information for public health interventions. Since levels in wastewater are dependent upon human inputs, we hypothesize that tracking infections can be improved by normalizing wastewater concentrations against indicators of human waste [Pepper Mild Mottle Virus (PMMoV), β-2 Microglobulin (B2M), and fecal coliform]. In this study, we analyzed SARS-CoV-2 and indicators of human waste in wastewater from two sewersheds of different scales: a University campus and a wastewater treatment plant. Wastewater data were combined with complementary COVID-19 case tracking to evaluate the efficiency of wastewater surveillance for forecasting new COVID-19 cases and, for the larger scale, hospitalizations. Results show that the normalization of SARS-CoV-2 levels by PMMoV and B2M resulted in improved correlations with COVID-19 cases for campus data using volcano second generation (V2G)-qPCR chemistry (r s = 0.69 without normalization, r s = 0.73 with normalization). Mixed results were obtained for normalization by PMMoV for samples collected at the community scale. Overall benefits from normalizing with measures of human waste depend upon qPCR chemistry and improves with smaller sewershed scale. We recommend further studies that evaluate the efficacy of additional normalization targets.
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Affiliation(s)
- Qingyu Zhan
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Kristina M. Babler
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Mark E. Sharkey
- Department
of Medicine, University of Miami Miller
School of Medicine, Miami, Florida 33136, United States
| | - Ayaaz Amirali
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Cynthia C. Beaver
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Melinda M. Boone
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Samuel Comerford
- Department
of Medicine, University of Miami Miller
School of Medicine, Miami, Florida 33136, United States
| | - Daniel Cooper
- DataGrade
Solutions, LLC, Miami, Florida 33173, United
States
| | - Elena M. Cortizas
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Benjamin B. Currall
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Jonathan Foox
- Department
of Physiology and Biophysics, Weill Cornell
Medical College, New York
City, New York 10021, United States
| | - George S. Grills
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Erin Kobetz
- Department
of Medicine, University of Miami Miller
School of Medicine, Miami, Florida 33136, United States
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Naresh Kumar
- Department
of Public Health Sciences, University of
Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Jennifer Laine
- Environmental
Health and Safety, University of Miami, Miami, Florida 33146, United States
| | - Walter E. Lamar
- Facilities
Safety & Compliance, University of Miami
Miller School of Medicine, Miami, Florida 33136, United States
| | - Alejandro M.A. Mantero
- Department
of Public Health Sciences, University of
Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Christopher E. Mason
- Department
of Physiology and Biophysics and the WorldQuant Initiative for Quantitative
Prediction, Weill Cornell Medical College, New York City, New York 10021, United States
| | - Brian D. Reding
- Environmental
Health and Safety, University of Miami, Miami, Florida 33146, United States
| | - Maria Robertson
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Matthew A. Roca
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Krista Ryon
- Department
of Physiology and Biophysics, Weill Cornell
Medical College, New York
City, New York 10021, United States
| | - Stephan C. Schürer
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
- Department
of Molecular & Cellular Pharmacology, University of Miami Miller School of Medicines, Miami, Florida 33136, United States
- Institute
for Data Science & Computing, University
of Miami, Coral Gables, Florida 33146, United
States
| | - Bhavarth S. Shukla
- Department
of Medicine, University of Miami Miller
School of Medicine, Miami, Florida 33136, United States
| | - Natasha Schaefer Solle
- Department
of Medicine, University of Miami Miller
School of Medicine, Miami, Florida 33136, United States
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Mario Stevenson
- Department
of Medicine, University of Miami Miller
School of Medicine, Miami, Florida 33136, United States
| | - John J. Tallon Jr
- Facilities
and Operations, University of Miami, Coral Gables, Florida 33146, United States
| | - Collette Thomas
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Tori Thomas
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Dušica Vidović
- Department
of Molecular & Cellular Pharmacology, University of Miami Miller School of Medicines, Miami, Florida 33136, United States
| | - Sion L. Williams
- Sylvester
Comprehensive Cancer Center, University
of Miami Miller School of Medicine, Miami, Florida 33136, United States
| | - Xue Yin
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
| | - Helena M. Solo-Gabriele
- Department
of Civil, Architectural, and Environmental Engineering, University of Miami, Coral Gables, Florida 33146, United States
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8
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Sheils TK, Mathias SL, Kelleher KJ, Siramshetty VB, Nguyen DT, Bologa CG, Jensen LJ, Vidović D, Koleti A, Schürer SC, Waller A, Yang JJ, Holmes J, Bocci G, Southall N, Dharkar P, Mathé E, Simeonov A, Oprea TI. TCRD and Pharos 2021: mining the human proteome for disease biology. Nucleic Acids Res 2021; 49:D1334-D1346. [PMID: 33156327 PMCID: PMC7778974 DOI: 10.1093/nar/gkaa993] [Citation(s) in RCA: 84] [Impact Index Per Article: 28.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2020] [Revised: 10/09/2020] [Accepted: 10/14/2020] [Indexed: 12/13/2022] Open
Abstract
In 2014, the National Institutes of Health (NIH) initiated the Illuminating the Druggable Genome (IDG) program to identify and improve our understanding of poorly characterized proteins that can potentially be modulated using small molecules or biologics. Two resources produced from these efforts are: The Target Central Resource Database (TCRD) (http://juniper.health.unm.edu/tcrd/) and Pharos (https://pharos.nih.gov/), a web interface to browse the TCRD. The ultimate goal of these resources is to highlight and facilitate research into currently understudied proteins, by aggregating a multitude of data sources, and ranking targets based on the amount of data available, and presenting data in machine learning ready format. Since the 2017 release, both TCRD and Pharos have produced two major releases, which have incorporated or expanded an additional 25 data sources. Recently incorporated data types include human and viral-human protein-protein interactions, protein-disease and protein-phenotype associations, and drug-induced gene signatures, among others. These aggregated data have enabled us to generate new visualizations and content sections in Pharos, in order to empower users to find new areas of study in the druggable genome.
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Affiliation(s)
- Timothy K Sheils
- National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA
| | - Stephen L Mathias
- Translational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Keith J Kelleher
- National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA
| | - Vishal B Siramshetty
- National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA
| | - Dac-Trung Nguyen
- National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA
| | - Cristian G Bologa
- Translational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Lars Juhl Jensen
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Dušica Vidović
- Institute for Data Science and Computing, University of Miami, Coral Gables, FL 33146, USA
- Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Amar Koleti
- Institute for Data Science and Computing, University of Miami, Coral Gables, FL 33146, USA
| | - Stephan C Schürer
- Institute for Data Science and Computing, University of Miami, Coral Gables, FL 33146, USA
- Department of Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
- Sylvester Comprehensive Cancer Center, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
| | - Anna Waller
- UNM Center for Molecular Discovery, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Jeremy J Yang
- Translational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Jayme Holmes
- Translational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Giovanni Bocci
- Translational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
| | - Noel Southall
- National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA
| | - Poorva Dharkar
- National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA
| | - Ewy Mathé
- National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA
| | - Anton Simeonov
- National Center for Advancing Translational Science, 9800 Medical Center Drive, Rockville, MD 20850, USA
| | - Tudor I Oprea
- Translational Informatics Division, Department of Internal Medicine, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
- Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
- UNM Comprehensive Cancer Center, University of New Mexico Health Sciences Center, Albuquerque, NM 87131, USA
- Department of Rheumatology and Inflammation Research, Institute of Medicine, Sahlgrenska Academy at University of Gothenburg, 40530 Gothenburg, Sweden
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9
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Shamsaei B, Chojnacki S, Pilarczyk M, Najafabadi M, Niu W, Chen C, Ross K, Matlock A, Muhlich J, Chutipongtanate S, Zheng J, Turner J, Vidović D, Jaffe J, MacCoss M, Wu C, Pillai A, Ma'ayan A, Schürer S, Kouril M, Medvedovic M, Meller J. piNET: a versatile web platform for downstream analysis and visualization of proteomics data. Nucleic Acids Res 2020; 48:W85-W93. [PMID: 32469073 PMCID: PMC7319557 DOI: 10.1093/nar/gkaa436] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2020] [Revised: 04/29/2020] [Accepted: 05/27/2020] [Indexed: 02/03/2023] Open
Abstract
Rapid progress in proteomics and large-scale profiling of biological systems at the protein level necessitates the continued development of efficient computational tools for the analysis and interpretation of proteomics data. Here, we present the piNET server that facilitates integrated annotation, analysis and visualization of quantitative proteomics data, with emphasis on PTM networks and integration with the LINCS library of chemical and genetic perturbation signatures in order to provide further mechanistic and functional insights. The primary input for the server consists of a set of peptides or proteins, optionally with PTM sites, and their corresponding abundance values. Several interconnected workflows can be used to generate: (i) interactive graphs and tables providing comprehensive annotation and mapping between peptides and proteins with PTM sites; (ii) high resolution and interactive visualization for enzyme-substrate networks, including kinases and their phospho-peptide targets; (iii) mapping and visualization of LINCS signature connectivity for chemical inhibitors or genetic knockdown of enzymes upstream of their target PTM sites. piNET has been built using a modular Spring-Boot JAVA platform as a fast, versatile and easy to use tool. The Apache Lucene indexing is used for fast mapping of peptides into UniProt entries for the human, mouse and other commonly used model organism proteomes. PTM-centric network analyses combine PhosphoSitePlus, iPTMnet and SIGNOR databases of validated enzyme-substrate relationships, for kinase networks augmented by DeepPhos predictions and sequence-based mapping of PhosphoSitePlus consensus motifs. Concordant LINCS signatures are mapped using iLINCS. For each workflow, a RESTful API counterpart can be used to generate the results programmatically in the json format. The server is available at http://pinet-server.org, and it is free and open to all users without login requirement.
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Affiliation(s)
- Behrouz Shamsaei
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, USA
| | - Szymon Chojnacki
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, USA
| | - Marcin Pilarczyk
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, USA
| | - Mehdi Najafabadi
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, USA
| | - Wen Niu
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, USA
| | - Chuming Chen
- Center for Bioinformatics & Computational Biology; University of Delaware, USA
| | - Karen Ross
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, USA
| | - Andrea Matlock
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, USA
| | - Jeremy Muhlich
- Department of Systems Biology, Harvard Medical School, USA
| | - Somchai Chutipongtanate
- Department of Cancer Biology, University of Cincinnati College of Medicine, USA.,Department of Pediatrics, Faculty of Medicine Ramathibodi Hospital, Mahidol University, Thailand
| | - Jie Zheng
- Department of Genetics, University of Pennsylvania Perelman School of Medicine, USA
| | - John Turner
- Department of Pharmacology, Miller School of Medicine, Sylvester Comprehensive Cancer Center, Center for Computational Science, University of Miami, Miami, USA
| | - Dušica Vidović
- Department of Pharmacology, Miller School of Medicine, Sylvester Comprehensive Cancer Center, Center for Computational Science, University of Miami, Miami, USA
| | - Jake Jaffe
- Broad Institute of MIT and Harvard & Inzen Therapeutics, USA
| | - Michael MacCoss
- Department of Genome Sciences, University of Washington, USA
| | - Cathy Wu
- Center for Bioinformatics & Computational Biology; University of Delaware, USA.,Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, USA
| | - Ajay Pillai
- Human Genome Research Institute, National Institutes of Health, Bethesda, USA
| | - Avi Ma'ayan
- Mount Sinai Center for Bioinformatics, Department of Pharmacological Sciences, Icahn School of Medicine at Mount Sinai, USA
| | - Stephan Schürer
- Department of Pharmacology, Miller School of Medicine, Sylvester Comprehensive Cancer Center, Center for Computational Science, University of Miami, Miami, USA
| | - Michal Kouril
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, USA
| | - Mario Medvedovic
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, USA.,Department of Biomedical Informatics, University of Cincinnati College of Medicine, USA
| | - Jarek Meller
- Department of Environmental and Public Health Sciences, University of Cincinnati College of Medicine, USA.,Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, USA.,Department of Electrical Engineering and Computer Science, University of Cincinnati, USA
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10
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Filipović-Čugura J, Misir Z, Hrabač P, Orešić T, Vidović D, Misir B, Filipović N, Kirac I, Mijić A. Comparison of Surgisis, Vypro II and TiMesh in contaminated and clean field. Hernia 2019; 24:551-558. [PMID: 30976937 DOI: 10.1007/s10029-019-01949-1] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 04/01/2019] [Indexed: 12/11/2022]
Abstract
PURPOSE The study aimed to evaluate the histologic properties and infection resistance of three different mesh materials in a rat model. METHODS Each mesh, in both infectious (n = 96) and non-infectious groups (n = 270), was positioned both in sublay (preperitoneally) and onlay (subcutaneously) locations. Properties of the biological (Surgisis; Cook Surgical), composite, partially resorbing (Vypro II mesh; Ethicon) and non-resorbing (TiMesh; GFE Medizintechnik GmbH) mesh were evaluated and compared. Animals were killed at 7, 21 and 90 days after implantation. The following parameters were evaluated to assess the host response to the mesh material: inflammation, vascularization, fibrosis, collagen formation, Ki67, and a foreign body reaction by granuloma formation (FBG). RESULTS Surgisis mesh produced more pronounced inflammation and cell proliferation, and less intense granuloma formation, as well as fibrosis, compared to the other two groups. When the infected materials were examined, we found signs of local infection to be more often present in Surgisis group of animals. CONCLUSIONS In the presence of bacterial contamination, no benefits were observed in the use of the Surgisis prosthesis over the use of TiMesh and Vypro II.
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Affiliation(s)
- J Filipović-Čugura
- Department of Surgery, Sestre Milosrdnice University Hospital Center, Vinogradska cesta 29, 10000, Zagreb, Croatia
| | - Z Misir
- Department of Surgery, Sestre Milosrdnice University Hospital Center, Vinogradska cesta 29, 10000, Zagreb, Croatia
| | - P Hrabač
- Croatian Institute for Brain Research, University of Zagreb, School of Medicine, Šalata 3, 10000, Zagreb, Croatia
| | - T Orešić
- University Hospital for Tumors, Sestre Milosrdnice University Hospital Center, Ilica 197, 10000, Zagreb, Croatia
| | - D Vidović
- Department of Surgery, Sestre Milosrdnice University Hospital Center, Vinogradska cesta 29, 10000, Zagreb, Croatia
| | - B Misir
- Department of Surgery, Sestre Milosrdnice University Hospital Center, Vinogradska cesta 29, 10000, Zagreb, Croatia
| | - N Filipović
- University of Zagreb, School of Medicine, Šalata 3, 10000, Zagreb, Croatia
| | - I Kirac
- University Hospital for Tumors, Sestre Milosrdnice University Hospital Center, Ilica 197, 10000, Zagreb, Croatia.
| | - A Mijić
- Department of Surgery, Sestre Milosrdnice University Hospital Center, Vinogradska cesta 29, 10000, Zagreb, Croatia
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11
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Affiliation(s)
- A. V. Smarun
- School
of Physical and Mathematical Sciences, Division of Chemistry and Biological
Chemistry, Nanyang Technological University, 21 Nanyang Link, Nanyang 637371, Singapore
| | - M. Petković
- Faculty
of Physical Chemistry, University of Belgrade, Studentski Trg 12-16, 11000 Belgrade, Republic of Serbia
| | - M. S. Shchepinov
- Retrotope, Inc., Los Altos Hills, California 94022, United States
| | - D. Vidović
- School
of Physical and Mathematical Sciences, Division of Chemistry and Biological
Chemistry, Nanyang Technological University, 21 Nanyang Link, Nanyang 637371, Singapore
- School
of Chemistry, Monash University, Melbourne VIC 3800, Australia
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12
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Smarun AV, Duzhin F, Petković M, Vidović D. Alkene-assisted cis-to-trans isomerization of non-conjugated polyunsaturated alkenes. Dalton Trans 2017; 46:14244-14250. [PMID: 28991293 DOI: 10.1039/c7dt03041j] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Complex [Cp*Ru(NCMe)3][PF6], 1a, has been identified as a cis-to-trans isomerization catalyst of various non-conjugated cis-polyalkenes under exceptional kinetic control as no alkene conjugation was observed. According to the experimental and theoretical data, the cis-trans isomerization occurred via an alkene-assisted mechanism in which one cis-double bond always served as an anchoring site. Using a combination of multinuclear NMR spectroscopic evidence and mathematical methods it was possible to determine the extent of trans isomerization.
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Affiliation(s)
- A V Smarun
- Department of Chemistry and Biological Chemistry, Nanyang Technological University, 21 Nanyang Link, Singapore
| | - F Duzhin
- School of Physical and Mathematical Sciences, Division of Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore 63737
| | - M Petković
- Faculty of Physical Chemistry, University of Belgrade, Studentski Trg 12-16, Belgrade, Republic of Serbia
| | - D Vidović
- Department of Chemistry and Biological Chemistry, Nanyang Technological University, 21 Nanyang Link, Singapore
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13
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Vidović D, Koleti A, Schürer SC. Large-scale integration of small molecule-induced genome-wide transcriptional responses, Kinome-wide binding affinities and cell-growth inhibition profiles reveal global trends characterizing systems-level drug action. Front Genet 2014; 5:342. [PMID: 25324859 PMCID: PMC4179751 DOI: 10.3389/fgene.2014.00342] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2014] [Accepted: 09/12/2014] [Indexed: 11/23/2022] Open
Abstract
The Library of Integrated Network-based Cellular Signatures (LINCS) project is a large-scale coordinated effort to build a comprehensive systems biology reference resource. The goals of the program include the generation of a very large multidimensional data matrix and informatics and computational tools to integrate, analyze, and make the data readily accessible. LINCS data include genome-wide transcriptional signatures, biochemical protein binding profiles, cellular phenotypic response profiles and various other datasets for a wide range of cell model systems and molecular and genetic perturbations. Here we present a partial survey of this data facilitated by data standards and in particular a robust compound standardization workflow; we integrated several types of LINCS signatures and analyzed the results with a focus on mechanism of action (MoA) and chemical compounds. We illustrate how kinase targets can be related to disease models and relevant drugs. We identified some fundamental trends that appear to link Kinome binding profiles and transcriptional signatures to chemical information and biochemical binding profiles to transcriptional responses independent of chemical similarity. To fill gaps in the datasets we developed and applied predictive models. The results can be interpreted at the systems level as demonstrated based on a large number of signaling pathways. We can identify clear global relationships, suggesting robustness of cellular responses to chemical perturbation. Overall, the results suggest that chemical similarity is a useful measure at the systems level, which would support phenotypic drug optimization efforts. With this study we demonstrate the potential of such integrated analysis approaches and suggest prioritizing further experiments to fill the gaps in the current data.
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Affiliation(s)
- Dušica Vidović
- Center for Computational Science, University of Miami Miami, FL, USA
| | - Amar Koleti
- Center for Computational Science, University of Miami Miami, FL, USA
| | - Stephan C Schürer
- Center for Computational Science, University of Miami Miami, FL, USA ; Department of Molecular and Cellular Pharmacology, University of Miami Miami, FL, USA
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14
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Carlon M, Vidović D, Van den Haute C, Bijvelds M, Baekelandt V, de Jonge H, Gijsbers R, Debyser Z. WS1.4 A rAAV2/5 based gene therapy model for cystic fibrosis airway disease. J Cyst Fibros 2014. [DOI: 10.1016/s1569-1993(14)60007-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
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15
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Vempati UD, Chung C, Mader C, Koleti A, Datar N, Vidović D, Wrobel D, Erickson S, Muhlich JL, Berriz G, Benes CH, Subramanian A, Pillai A, Shamu CE, Schürer SC. Metadata Standard and Data Exchange Specifications to Describe, Model, and Integrate Complex and Diverse High-Throughput Screening Data from the Library of Integrated Network-based Cellular Signatures (LINCS). J Biomol Screen 2014; 19:803-16. [PMID: 24518066 PMCID: PMC7723305 DOI: 10.1177/1087057114522514] [Citation(s) in RCA: 60] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/09/2013] [Accepted: 01/13/2014] [Indexed: 01/15/2023]
Abstract
The National Institutes of Health Library of Integrated Network-based Cellular Signatures (LINCS) program is generating extensive multidimensional data sets, including biochemical, genome-wide transcriptional, and phenotypic cellular response signatures to a variety of small-molecule and genetic perturbations with the goal of creating a sustainable, widely applicable, and readily accessible systems biology knowledge resource. Integration and analysis of diverse LINCS data sets depend on the availability of sufficient metadata to describe the assays and screening results and on their syntactic, structural, and semantic consistency. Here we report metadata specifications for the most important molecular and cellular components and recommend them for adoption beyond the LINCS project. We focus on the minimum required information to model LINCS assays and results based on a number of use cases, and we recommend controlled terminologies and ontologies to annotate assays with syntactic consistency and semantic integrity. We also report specifications for a simple annotation format (SAF) to describe assays and screening results based on our metadata specifications with explicit controlled vocabularies. SAF specifically serves to programmatically access and exchange LINCS data as a prerequisite for a distributed information management infrastructure. We applied the metadata specifications to annotate large numbers of LINCS cell lines, proteins, and small molecules. The resources generated and presented here are freely available.
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Affiliation(s)
- Uma D Vempati
- Center for Computational Science, University of Miami, Miami, FL, USA
| | - Caty Chung
- Center for Computational Science, University of Miami, Miami, FL, USA
| | - Chris Mader
- Center for Computational Science, University of Miami, Miami, FL, USA
| | - Amar Koleti
- Center for Computational Science, University of Miami, Miami, FL, USA
| | - Nakul Datar
- Center for Computational Science, University of Miami, Miami, FL, USA
| | - Dušica Vidović
- Center for Computational Science, University of Miami, Miami, FL, USA
| | - David Wrobel
- ICCB-Longwood Screening Facility, Harvard Medical School, Boston, MA, USA
| | - Sean Erickson
- ICCB-Longwood Screening Facility, Harvard Medical School, Boston, MA, USA
| | - Jeremy L Muhlich
- Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA
| | - Gabriel Berriz
- Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA
| | - Cyril H Benes
- Center for Molecular Therapeutics, Massachusetts General Hospital, Boston, Massachusetts, USA
| | | | - Ajay Pillai
- National Human Genome Research Institute, National Institutes of Health, Rockville, Maryland, USA
| | - Caroline E Shamu
- ICCB-Longwood Screening Facility, Harvard Medical School, Boston, MA, USA Department of Systems Biology, Harvard Medical School, Boston, Massachusetts, USA
| | - Stephan C Schürer
- Center for Computational Science, University of Miami, Miami, FL, USA Department of Molecular and Cellular Pharmacology, University of Miami, Miami, Florida, USA
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16
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Abstract
Protein kinases remain among the most versatile and prospective therapeutic drug targets with currently 15 distinct compounds approved for use in humans and numerous clinical development programs. The vast majority of kinase inhibitors bind at the ATP site. Here we present an integrated workflow to amplify the rapidly increasing space of structurally resolved small molecule kinase ligands to generate novel inhibitors. Our approach considers both receptor-based similarity constraints in cocomplexes and ligand-based filtering/refinement methods to generate novel, drug-like matter. After building a comprehensive database of the structural kinome and identifying ATP-competitive ligands, we leverage local site similarities and site alignments to shuffle ligand fragments across the kinome. After extensive curation and standardization, our automated protocol starting from 936 cocrystal ATP-competitive binding sites generated about 150,000 new ligand structures among them over 26,000 lead-/drug-like compounds; the majority of those are novel based on structural similarity and scaffolds. In a retrospective analysis we demonstrate that our protocol produced known potent kinase inhibitors and we show how docking can be applied to prioritize the most likely efficacious compounds. Our workflow emulates a common strategy in medicinal chemistry to identify and swap corresponding moieties from known inhibitors to generate novel and potent leads. Here, we systematize and automate this approach leveraging available knowledge covering the entire human Kinome.
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Affiliation(s)
- Dušica Vidović
- Center for Computational Science, Miller School of Medicine, University of Miami, Miami, Florida 33136, USA
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17
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Ganesan L, Vidović D, Schürer SC, Buchwald P. Exploratory computational assessment of possible binding modes for small molecule inhibitors of the CD40-CD154 co-stimulatory interaction. Pharmazie 2012; 67:374-379. [PMID: 22764566] [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] [Subscribe] [Scholar Register] [Indexed: 06/01/2023]
Abstract
Protein-protein interactions (PPI) tend to involve extensive, flat, and featureless interfaces that are difficult to disrupt by small molecule binding. However, recently, PPIs are being recognized as increasingly valuable 'druggable' targets. We have identified several small molecule inhibitors of the immunologically relevant CD40-CD154 co-stimulatory interaction that bind to the homotrimeric CD154, a member of the tumor necrosis factor superfamily (TNFSF). Recently, on the basis of the co-crystal structure of CD154 with another small molecule (BIO8898), it has been suggested that these PPIs could be particularly susceptible to small molecule blockade due to a subunit fracture mechanism resulting in a distortion of the trimeric structure. To investigate whether this mechanism can occur with our organic dye-related inhibitors, we performed exploratory computational docking experiments. Possible druggable pockets that can serve as binding sites for small molecule inhibitors were identified with the FFT map algorithm both along the CD154-CD40 binding interface (competitive, orthosteric model) and in the interior core of the CD154 trimer corresponding to the BIO8898 binding site (allosteric model). Docking experiments (using Glide) were performed at these sites using the PDB ID: 3QD6 (CD40-CD154) and 3LKJ (BIO8898-CD154) co-crystal structures, respectively. The docking algorithm was able to better discriminate binders from non-binders at the deeper allosteric site than at the competitive site. Accordingly, an allosteric inhibitory mechanism that involves intercalation between monomeric subunits seems feasible for our small molecules making the constitutively trimeric CD154 a likely druggable target.
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Affiliation(s)
- L Ganesan
- Molecular and Cellular Pharmacology, Miller School of Medicine, University of Miami, Miami, FL 33136, USA
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18
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Vidović D, Xie Y, Rinderspacher A, Deng SX, Landry DW, Chung C, Smith DH, Tautz L, Schürer SC. Distinct functional and conformational states of the human lymphoid tyrosine phosphatase catalytic domain can be targeted by choice of the inhibitor chemotype. J Comput Aided Mol Des 2011; 25:873-83. [PMID: 21904909 DOI: 10.1007/s10822-011-9469-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2011] [Accepted: 08/23/2011] [Indexed: 10/17/2022]
Abstract
The lymphoid tyrosine phosphatase (LYP), encoded by the PTPN22 gene, has recently been identified as a promising drug target for human autoimmunity diseases. Like the majority of protein-tyrosine phosphatases LYP can adopt two functionally distinct forms determined by the conformation of the WPD-loop. The WPD-loop plays an important role in the catalytic dephosphorylation by protein-tyrosine phosphatases. Here we investigate the binding modes of two chemotypes of small molecule LYP inhibitors with respect to both protein conformations using computational modeling. To evaluate binding in the active form, we built a LYP protein structure model of high quality. Our results suggest that the two different compound classes investigated, bind to different conformations of the LYP phosphatase domain. Binding to the closed form is facilitated by an interaction with Asp195 in the WPD-loop, presumably stabilizing the active conformation. The analysis presented here is relevant for the design of inhibitors that specifically target either the closed or the open conformation of LYP in order to achieve better selectivity over phosphatases with similar binding sites.
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Affiliation(s)
- Dušica Vidović
- Center for Computational Science, University of Miami, Miami, FL 33136, USA
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19
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Vidović D, Busby SA, Griffin PR, Schürer SC. A combined ligand- and structure-based virtual screening protocol identifies submicromolar PPARγ partial agonists. ChemMedChem 2011; 6:94-103. [PMID: 21162086 DOI: 10.1002/cmdc.201000428] [Citation(s) in RCA: 25] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022]
Abstract
Peroxisome proliferator-activated receptor γ (PPARγ) is involved in expression of genes that control glucose and lipid metabolism. PPARγ is the molecular target of the thiazolidinedione (TZD) class of antidiabetic drugs. However, despite their clinical use these drugs are associated with numerous adverse effects, which are related to their full activation of PPARγ transcriptional responses. PPARγ partial agonists are the focus of development efforts towards second-generation PPARγ modulators with favorable pharmacology, potent insulin sensitization without the severe full agonists' adverse effects. In order to identify novel PPARγ partial agonist lead compounds, we developed a virtual screening protocol based on three-dimensional ligand-shape similarity and docking. Prioritization gave 235 compounds for experimental screening from the National Institutes of Health (NIH) Molecular Libraries Small Molecule Repository (MLSMR)-a chemical library containing 340 000 compounds. Seven novel potent partial agonists were confirmed in cell-based transactivation and competitive binding assays. Our results illustrate a well-designed virtual screening campaign successfully identifying novel lead compounds as potential entry points for the development of antidiabetic drugs.
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Affiliation(s)
- Dušica Vidović
- Center for Computational Science, University of Miami, FL 33136, USA
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20
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Solt LA, Kumar N, Nuhant P, Wang Y, Lauer JL, Liu J, Istrate MA, Kamenecka TM, Roush WR, Vidović D, Schürer SC, Xu J, Wagoner G, Drew PD, Griffin PR, Burris TP. Suppression of TH17 differentiation and autoimmunity by a synthetic ROR ligand. Nature 2011; 472:491-4. [PMID: 21499262 PMCID: PMC3148894 DOI: 10.1038/nature10075] [Citation(s) in RCA: 408] [Impact Index Per Article: 31.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2011] [Accepted: 03/28/2011] [Indexed: 12/11/2022]
Abstract
T helper cells that produce Interleukin-17 (IL-17) (TH17 cells) are a recently identified CD4+ T-cell subset with characterized pathological roles in autoimmune diseases1–3. The nuclear receptors retinoic acid receptor-related orphan receptors α and γt (RORα and RORγt) have indispensible roles in the development of this cell type4–7. Here we present a first-in-class, high-affinity synthetic ligand, SR1001, specific to both RORα and RORγt that inhibits TH17 cell differentiation and function. SR1001 binds specifically to the ligand binding domains (LBDs) of RORα and RORγt inducing a conformational change within the LBD that encompasses repositioning of helix 12 leading to diminished affinity for coactivators and increased affinity for corepressors resulting in suppression of the receptors transcriptional activity. SR1001 inhibited the development of murine TH17 cells as demonstrated by inhibition of IL-17A gene expression and protein production. Additionally, SR1001 inhibited the expression of cytokines when added to differentiated murine or human TH17 cells. Finally, SR1001 effectively suppressed the clinical severity of autoimmune disease in mice. Thus, our data demonstrates the feasibility of targeting the orphan receptors RORα and RORγt to specifically inhibit TH17 cell differentiation and function and indicates that this novel class of compound has potential utility in the treatment of autoimmune diseases.
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Affiliation(s)
- Laura A Solt
- Department of Molecular Therapeutics, The Scripps Research Institute, Jupiter, Florida 33458, USA
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21
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Xie Y, Deng S, Thomas CJ, Liu Y, Zhang YQ, Rinderspacher A, Huang W, Gong G, Wyler M, Cayanis E, Aulner N, Többen U, Chung C, Pompou S, Southall N, Vidović D, Schürer S, Branden L, Davis RE, Staudt LM, Inglese J, Austin CP, Landry DW, Smith DH, Auld DS. Identification of N-(quinolin-8-yl)benzenesulfonamides as agents capable of down-regulating NFkappaB activity within two separate high-throughput screens of NFkappaB activation. Bioorg Med Chem Lett 2008; 18:329-35. [PMID: 18024113 PMCID: PMC2275118 DOI: 10.1016/j.bmcl.2007.10.100] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2007] [Revised: 10/19/2007] [Accepted: 10/20/2007] [Indexed: 11/17/2022]
Abstract
We describe here a series of N-(quinolin-8-yl)benzenesulfonamides capable of suppressing the NFkappaB pathway identified from two high-throughput screens run at two centers of the NIH Molecular Libraries Initiative. These small molecules were confirmed in both primary and secondary assays of NFkappaB activation and expanded upon through analogue synthesis. The series exhibited potencies in the cell-based assays at as low as 0.6 microM, and several indications suggest that the targeted activity lies within a common region of the NFkappaB pathway.
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Affiliation(s)
- Yuli Xie
- Department of Medicine, Columbia University, 630 West 168th Street, New York, NY 10032, USA
| | - ShiXian Deng
- Department of Medicine, Columbia University, 630 West 168th Street, New York, NY 10032, USA
| | - Craig J. Thomas
- NIH Chemical Genomics Center, National Human Genome Research Institute, NIH, 9800 Medical Center Drive, MSC 3370 Bethesda, MD 20892-3370 USA
| | - Yidong Liu
- Department of Medicine, Columbia University, 630 West 168th Street, New York, NY 10032, USA
| | - Ya-Qin Zhang
- NIH Chemical Genomics Center, National Human Genome Research Institute, NIH, 9800 Medical Center Drive, MSC 3370 Bethesda, MD 20892-3370 USA
| | - Alison Rinderspacher
- Department of Medicine, Columbia University, 630 West 168th Street, New York, NY 10032, USA
| | - Wenwei Huang
- NIH Chemical Genomics Center, National Human Genome Research Institute, NIH, 9800 Medical Center Drive, MSC 3370 Bethesda, MD 20892-3370 USA
| | - Gangli Gong
- Department of Medicine, Columbia University, 630 West 168th Street, New York, NY 10032, USA
| | - Michael Wyler
- MLSCN Center at Columbia University, Columbia Genome Center, 1150 St Nicholas Ave., New York, NY 10032, USA
| | - Efithia Cayanis
- MLSCN Center at Columbia University, Columbia Genome Center, 1150 St Nicholas Ave., New York, NY 10032, USA
| | - Nathalie Aulner
- MLSCN Center at Columbia University, Columbia Genome Center, 1150 St Nicholas Ave., New York, NY 10032, USA
| | - Udo Többen
- MLSCN Center at Columbia University, Columbia Genome Center, 1150 St Nicholas Ave., New York, NY 10032, USA
| | - Caty Chung
- Scientific Computing, The Scripps Research Institute, 5353 Parkside Drive, Jupiter FL 33458 USA
| | - Sergey Pompou
- MLSCN Center at Columbia University, Columbia Genome Center, 1150 St Nicholas Ave., New York, NY 10032, USA
| | - Noel Southall
- NIH Chemical Genomics Center, National Human Genome Research Institute, NIH, 9800 Medical Center Drive, MSC 3370 Bethesda, MD 20892-3370 USA
| | - Dušica Vidović
- Scientific Computing, The Scripps Research Institute, 5353 Parkside Drive, Jupiter FL 33458 USA
| | - Stephan Schürer
- Scientific Computing, The Scripps Research Institute, 5353 Parkside Drive, Jupiter FL 33458 USA
| | - Lars Branden
- MLSCN Center at Columbia University, Columbia Genome Center, 1150 St Nicholas Ave., New York, NY 10032, USA
| | - R. Eric Davis
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, Room 5A/02, Bethesda, MD 20892 USA
| | - Louis M. Staudt
- Metabolism Branch, Center for Cancer Research, National Cancer Institute, NIH, 9000 Rockville Pike, Building 10, Room 5A/02, Bethesda, MD 20892 USA
| | - James Inglese
- NIH Chemical Genomics Center, National Human Genome Research Institute, NIH, 9800 Medical Center Drive, MSC 3370 Bethesda, MD 20892-3370 USA
| | - Christopher P. Austin
- NIH Chemical Genomics Center, National Human Genome Research Institute, NIH, 9800 Medical Center Drive, MSC 3370 Bethesda, MD 20892-3370 USA
| | - Donald W. Landry
- Department of Medicine, Columbia University, 630 West 168th Street, New York, NY 10032, USA
| | - Deborah H. Smith
- MLSCN Center at Columbia University, Columbia Genome Center, 1150 St Nicholas Ave., New York, NY 10032, USA
| | - Douglas S. Auld
- NIH Chemical Genomics Center, National Human Genome Research Institute, NIH, 9800 Medical Center Drive, MSC 3370 Bethesda, MD 20892-3370 USA
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22
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Vidović D, Jurisić D, Franjić BD, Glavan E, Ledinsky M, Bekavac-Beslin M. Factors affecting recurrence after incisional hernia repair. Hernia 2006; 10:322-5. [PMID: 16705360 DOI: 10.1007/s10029-006-0097-z] [Citation(s) in RCA: 70] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/02/2005] [Accepted: 04/13/2006] [Indexed: 11/25/2022]
Abstract
Incisional hernias occur primarily as a result of high tension and inadequate healing of a previous incision, the latter of which is frequently related to infection at the surgical site. Despite recent advances in operative techniques, the recurrence rate remains unacceptably high. To evaluate the impact of different predisposing factors for the recurrence of incisional hernia, we reviewed retrospectively the medical records of 297 patients who had undergone incisional herniorrhaphy (188 tissue repairs, 109 mesh repairs) in our hospital. Demographic data (age and gender), type of repair, body mass index, hernia size, presence of chronic illnesses and wound complications were evaluated in a univariate and multivariate manner analysis. The overall recurrence rate was 30.3%, with the recurrence rate in patients who underwent tissue repair being 39.4% and that in patients following prosthetic repair 14.6%. The recurrence rate was significantly influenced by type of repair, obesity, hernia size, wound healing disorders and some chronic comorbidities. We conclude that it is necessary to become familiar with the risk factors for recurrence of incisional hernia in order to eliminate or decrease their effect on the positive outcome of incisional herniorrhaphy.
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Affiliation(s)
- D Vidović
- Department of Surgery, University Hospital Sestre Milosrdnice, Vinogradska 29, 10 000 Zagreb, Croatia.
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23
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Abstract
If lambda(1), lambda(2),..., lambda(n) are the eigenvalues of a graph G, then the energy of G is defined as E(G) = the absolute value of lambda(1) + the absolute value of lambda(2) +.... + the absolute value of lambda(n). If G is a molecular graph, representing a conjugated hydrocarbon, then E(G) is closely related to the respective total pi-electron energy. It is not known which molecular graph with n vertices has maximal energy. With the exception of m = n - 1 and m = n, it is not known which molecular graph with n vertices and m edges has maximal energy. To come closer to the solution of this problem, and continuing an earlier study (J. Chem. Inf. Comput. Sci. 1999, 39, 984-996, ref 7), we performed a Monte Carlo-type construction of molecular (n,m)-graphs, recording those with the largest (not necessarily maximal possible) energy. The results of our search indicate that for even n the maximal-energy molecular graphs might be those possessing as many as possible six-membered cycles; for odd n such graphs seem to prefer both six- and five-membered cycles.
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Affiliation(s)
- I Gutman
- Faculty of Science, University of Kragujevac, P.O. Box 60, YU-34000 Kragujevac, Yugoslavia.
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24
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Abstract
Abstract The energy EG of a graph G is the sum of the absolute values of the eigenvalues of G. In the case whene G is a molecular graph, EG is closely related to the total π-electron energy of the corresponding conjugated molecule. We determine the average value of the difference between the energy of two graphs, randomly chosen from the set of all graphs with n vertices and m edges. This result provides a criterion for deciding when two (molecular) graphs are almost coeneigetic.
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Affiliation(s)
- Ante Graovac
- 1Faculty of Science, University of Split, Nikole Tesle 12, HR-21000 Split, Croatia
- 2The R. Boskovic Institute, P.O. Box 180, HR-10002 Zagreb, Croatia
| | - Ivan Gutman
- 3Faculty of Science, University of Kragujevac, P.O. Box 60, YU-34000 Kragujevac, Yugoslavia
| | - Peter E. John
- 4Institut für Mathematik, Technische Universität Ilmenau, PF 100565, D-98684 Ilmenau, Germany
| | - Dušica Vidović
- 3Faculty of Science, University of Kragujevac, P.O. Box 60, YU-34000 Kragujevac, Yugoslavia
| | - Ivana Vlah
- 1Faculty of Science, University of Split, Nikole Tesle 12, HR-21000 Split, Croatia
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25
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Toral IJ, Vidović D. Toxicity of major histocompatibility complex class II specific monoclonal antibodies: audietur et altera pars. Croat Med J 1999; 40:353-6. [PMID: 10411962] [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] [Subscribe] [Scholar Register] [Indexed: 02/13/2023] Open
Abstract
AIM To investigate whether in vivo toxicity of class II major histocompatibility complex (MHC) specific monoclonal antibodies (mAb) is contributed by mAb's constant region binding to Fc receptor (FcR). METHODS Laboratory mice were injected intravenously (i.v.) with class II MHC-specific mAb of various isotypes and respective antigen-binding fragments, and their clinical status was observed subsequently. RESULTS All anti-class II mAb of the IgG2a isotype exhibit acute toxicity, manifested in severe lethargy and a frequent death. No adverse effects were observed after the FcR-binding capability of the toxic mAb was eliminated via deletion or mutation of its Fc segment. CONCLUSION In vivo toxicity of anti-class II mAb appears to be the consequence of the crosslinking of class II+ cells with cells expressing FcR.
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MESH Headings
- Animals
- Antibodies, Monoclonal/administration & dosage
- Antibodies, Monoclonal/genetics
- Antibodies, Monoclonal/immunology
- Antigen-Antibody Reactions/immunology
- Binding Sites, Antibody/genetics
- Binding Sites, Antibody/immunology
- Cause of Death
- Female
- Gene Deletion
- Histocompatibility Antigens Class II/genetics
- Histocompatibility Antigens Class II/immunology
- Immunoglobulin G/administration & dosage
- Immunoglobulin G/immunology
- Immunoglobulin Isotypes/administration & dosage
- Immunoglobulin Isotypes/immunology
- Injections, Intravenous
- Male
- Mice
- Mice, Inbred C57BL
- Mice, Inbred Strains
- Mice, Transgenic
- Mutation/genetics
- Receptors, Fc/immunology
- Sleep Stages/immunology
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Affiliation(s)
- I J Toral
- Dendreon Corporation, 3005 1st Avenue, Seattle, WA 98121, USA.
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26
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27
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Abstract
The human major histocompatibility complex (MHC) class II molecule-specific monoclonal antibody (mAb) 8D1 can induce apoptosis of tumor cells expressing HLA-DR molecules on their surface. This effect is associated with a cross-linking of HLA-DR, since monovalent Fab fragments of 8D1 cannot mediate cytotoxicity unless they are anchored to a solid support. Anti-neoplastic activity of 8D1 is highly selective, i.e. the mAb affects neither the viability nor the function of non-malignant HLA-DR+ cells. These findings raise the possibility of a selective antibody-based anti-tumor therapy of class II positive blood cell neoplasm.
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Affiliation(s)
- D Vidović
- Discovery Research, Hoffmann-La Roche Inc., Nutley, NJ 07110-1199, USA.
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28
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Vidović D, Toral JI, Bolin DR, Ito K, Nagy ZA. Peptide dependence of major histocompatibility complex class II specific alloreactive responses. Scand J Immunol 1998; 47:191-4. [PMID: 9519855 DOI: 10.1046/j.1365-3083.1998.00297.x] [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] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Splenic cells from transgenic mice, in which a single peptide is complexed to all major histocompatibility complex (MHC) class II molecules, are found to be incapable of triggering primary allogeneic mixed lymphocyte/leucocyte reactions (MLR) when co-cultured with lymphocytes from MHC class II congenic mouse strains. In addition, a single HLA-DR-blocking peptide can completely abrogate the capacity of splenocytes from chimeric HLA-DR/H2-E transgenic mice to stimulate primary MLR of T cells from wild-type mice. These results indicate that the primary alloreactive response is directed against a multitude of peptides presented by allogeneic MHC molecules.
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Affiliation(s)
- D Vidović
- Discovery Research, Hoffmann-La Roche, Inc., Nutley, New Jersey 07110-1199, USA
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29
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Vidović D, Boulanger N, Guenot J, Nagy ZA. T cell repertoire: genomic or somatic bias toward recognition of major histocompatibility complex molecules? Hereditas 1998; 127:125-32. [PMID: 9420478 DOI: 10.1111/j.1601-5223.1997.00125.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
Abstract
The prevailing concept about a major influence of thymic positive selection on shaping the T cell repertoire during ontogeny is confronted with an old idea emphasizing a dominant role for genetic (evolutionary) factors in molding the recognition potential of mature T cells. Our recent results are not readily interpreted without introducing a new version of the old concept, according to which complementarity to the major histocompatibility complex peptide-binding site is a major evolutionary selective pressure on T cell antigen receptor variable genes, with alloreactivity being a reflection of this fact.
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MESH Headings
- Animals
- Antigen Presentation
- Clonal Deletion
- Crosses, Genetic
- Dimerization
- Gene Rearrangement, T-Lymphocyte
- Genes, MHC Class II
- Histocompatibility Antigens Class II/chemistry
- Histocompatibility Antigens Class II/genetics
- Histocompatibility Antigens Class II/immunology
- Isoantigens/immunology
- Major Histocompatibility Complex/genetics
- Major Histocompatibility Complex/immunology
- Mice
- Mice, Inbred C57BL
- Mice, Knockout
- Models, Genetic
- Models, Immunological
- Models, Molecular
- Protein Binding
- Protein Conformation
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell, alpha-beta/genetics
- Receptors, Antigen, T-Cell, alpha-beta/immunology
- T-Lymphocytes, Helper-Inducer/immunology
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Affiliation(s)
- D Vidović
- Department of Immunology, Hoffmann-La Roche, Inc., Nutley, NJ 07110-1199, USA
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30
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Vidović D, Boulanger N, Kuye O, Toral J, Ito K, Guenot J, Bluethmann H, Nagy ZA. The helper T-cell repertoire of mice expressing class II major histocompatibility complex beta chains in the absence of alpha chains. Immunogenetics 1997; 45:325-35. [PMID: 9038105 DOI: 10.1007/s002510050212] [Citation(s) in RCA: 12] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/03/2023]
Abstract
Mutant mice generated by disrupting the H2-Aab major histocompatibility complex (Mhc) gene are demonstrated here to express Abetab chains in the absence of alpha chains. These mice possess a CD4(+) helper T cell (Th) repertoire that uses predominantly the Vbeta7 T-cell antigen receptor (Tcr) segment for recognition of any protein antigen presented by the alpha-free Abeta molecule. As an alloantigen, the Aalpha-free Abeta molecule is recognized very poorly by T cells from a series of class II disparate mouse strains, indicating that it is grossly different from normal alpha/beta heterodimers. Indeed, molecular modeling suggests a beta/beta homodimer arrangement with an altered geometry of the Tcr contact area. Interestingly, the mutant mice exhibit normal alloreactivity, without a restricted Vbeta usage, toward a series of foreign alpha/beta class II heterodimers, although their T cells developed in the absence of such heterodimers. Thus, the complementarity of Tcr to normal alpha/beta heterodimers, and thereby also alloreactivity, appears to be an ontogeny independent (i. e., germline-encoded) feature.
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Affiliation(s)
- D Vidović
- Department of Immunology, Preclinical Research, Hoffmann-La Roche, Inc., 340 Kingsland Street, Nutley, NJ 07110, USA
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31
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Falcioni F, Shah H, Vidović D, Morimoto C, Belunis C, Bolin D, Nagy ZA. Influence of CD26 and integrins on the antigen sensitivity of human memory T cells. Hum Immunol 1996; 50:79-90. [PMID: 8891731 DOI: 10.1016/0198-8859(96)00121-8] [Citation(s) in RCA: 16] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/02/2023]
Abstract
The antigen sensitivity of class II MHC restricted human CD4 T-cell clones is demonstrated to increase gradually with time after restimulation. This is manifested in a requirement of less antigen in culture, as well as decreased numbers of peptide-MHC complexes per APC for T-cell activation, and in an increased resistance to inhibition by class II MHC blockade. The increase in antigen sensitivity is accompanied by increased cell-surface expression of CD26, LFA-1, and VLA-1, whereas the expression of TCR and a series of other cell-surface molecules remains unchanged. Using appropriate monoclonal antibodies, we have shown that CD26 and LFA-1 contribute directly to the increased antigen sensitivity of "late-stage" T-cell clones. The late-memory T-cell phenotype established in this study is shown to occur also among T cells activated in vivo. We suggest that increasing the antigen sensitivity via antigen-nonspecific molecules is a physiologic mechanism for maintaining T-cell memory in face of decreasing antigen concentration, and for ensuring preferential activation of memory T cells upon repeated encounter with antigen.
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Affiliation(s)
- F Falcioni
- Department of Inflammation/Autoimmune Diseases, Hoffmann-La Roche, Inc., Nutley, New Jersey 07110-1199, USA
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Ito K, Bian HJ, Molina M, Han J, Magram J, Saar E, Belunis C, Bolin DR, Arceo R, Campbell R, Falcioni F, Vidović D, Hammer J, Nagy ZA. HLA-DR4-IE chimeric class II transgenic, murine class II-deficient mice are susceptible to experimental allergic encephalomyelitis. J Exp Med 1996; 183:2635-44. [PMID: 8676084 PMCID: PMC2192625 DOI: 10.1084/jem.183.6.2635] [Citation(s) in RCA: 151] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023] Open
Abstract
To investigate the development of HLA-DR-associated autoimmune diseases, we generated transgenic (Tg) mice with HLA-DRA-IE alpha and HLA-DRB1*0401-IE beta chimeric genes. The transgene-encoded proteins consisted of antigen-binding domains from HLA-DRA and HLA-DRB1*0401 molecules and the remaining domains from the IE(d)-alpha and IE(d)-beta chains. The chimeric molecules showed the same antigen-binding specificity as HLA-DRB1*0401 molecules, and were functional in presenting antigens to T cells. The Tg mice were backcrossed to MHC class II-deficient (IA beta-, IE alpha-) mice to eliminate any effect of endogenous MHC class II genes on the development of autoimmune diseases. As expected, IA alpha beta or IE alpha beta molecules were not expressed in Tg mice. Moreover, cell-surface expression of endogenous IE beta associated with HLA-DRA-IE alpha was not detectable in several Tg mouse lines by flow cytometric analysis. The HLA-DRA-IE alpha/HLA-DRB1*0401-IE beta molecules rescued the development of CD4+ T cells in MHC class II-deficient mice, but T cells expressing V beta 5, V beta 11, and V beta 12 were specifically deleted. Tg mice were immunized with peptides, myelin basic protein (MBP) 87-106 and proteolipid protein (PLP) 175-192, that are considered to be immunodominant epitopes in HLA-DR4 individuals. PLP175-192 provoked a strong proliferative response of lymph node T cells from Tg mice, and caused inflammatory lesions in white matter of the CNS and symptoms of experimental allergic encephalomyelitis (EAE). Immunization with MBP87-106 elicited a very weak proliferative T cell response and caused mild EAE. Non-Tg mice immunized with either PLP175-192 or MBP87-106 did not develop EAE. These results demonstrated that a human MHC class II binding site alone can confer susceptibility to an experimentally induced murine autoimmune disease.
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Affiliation(s)
- K Ito
- Department of Inflammation and Autoimmune Diseases, Hoffmann-La Roche Inc., Nutley, New Jersey 07110, USA
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Vidović D, Falcioni F, Siklodi B, Belunis CJ, Bolin DR, Ito K, Nagy ZA. Down-regulation of class II major histocompatibility complex molecules on antigen-presenting cells by antibody fragments. Eur J Immunol 1995; 25:3349-55. [PMID: 8566022 DOI: 10.1002/eji.1830251222] [Citation(s) in RCA: 10] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/31/2023]
Abstract
Certain HLA class II-specific monoclonal antibodies (mAb) cause up to 90% decrease in the cell surface expression of class II molecules. This down-regulation is isotype-specific, i.e. DR-specific mAb do not affect the expression of DP and DQ molecules. However, antibodies binding to one DR allotype down-regulate both allotypes in heterozygous antigen-presenting cells (APC), indicating that the phenomenon is not a direct consequence of ligation. All down-regulating mAb identified recognize the first (peptide binding) domains of class II heterodimers, and strongly inhibit the activation of class II-restricted human T cells in vitro. Conversely, non-down-regulating mAb fail to inhibit T cell activation, and most of them (four out of five) recognize class II second domains. Down-regulating antibodies are cytotoxic for B lymphoblastoid cell lines and for a small proportion of normal activated B cells. Their F(ab')2 fragments mediate both down-regulation and cytotoxicity, whereas the monovalent Fab fragments are not cytotoxic, but retain the down-regulatory and T cell inhibitory properties. These findings raise the possibility of a class II major histocompatibility complex-specific, antibody-based immunosuppressive therapy without cytotoxic side effects.
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Affiliation(s)
- D Vidović
- Department of Inflammation and Autoimmune Diseases, Preclinical Research, Hoffmann-La Roche, Inc., Nutley, NJ 07110-1199, USA
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Abstract
T cell tolerance to self is achieved by deletion or inactivation of clones recognizing peptides of self proteins presented by major histocompatibility complex molecules. A considerable fraction of self proteins accessible to the immune system is contributed by the system itself, for example, the receptors used for antigen recognition (antibodies and T cell receptors [TCRs]). Thus far, it has remained unclear, whether antigen receptors are subject to self tolerance, or on contrary, engage into network interactions implying immunity rather than tolerance. In this study, we demonstrate self tolerance to synthetic peptides corresponding to the first hypervariable region of the V beta 8.1 and V beta 8.2 TCR proteins. We also show that the tolerogenic synthetic peptide corresponds to a fragment produced by processing of the V beta protein, and conversely, that a V beta peptide not produced by processing is also not subject to self tolerance. Thus, the rules of tolerance seem to apply to antigen receptors, at least to their germline-encoded portions, in a similar fashion as to other self proteins. This finding has important implications for studies of natural and artificially induced immune networks.
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MESH Headings
- Amino Acid Sequence
- Animals
- Antigen Presentation
- Cells, Cultured
- Crosses, Genetic
- Gene Rearrangement, beta-Chain T-Cell Antigen Receptor
- H-2 Antigens/immunology
- Lymphocyte Activation
- Mice
- Mice, Inbred Strains
- Molecular Sequence Data
- Peptide Fragments/chemical synthesis
- Peptide Fragments/immunology
- Receptors, Antigen, T-Cell, alpha-beta/genetics
- Receptors, Antigen, T-Cell, alpha-beta/immunology
- Receptors, Antigen, T-Cell, alpha-beta/metabolism
- Self Tolerance
- T-Lymphocyte Subsets/immunology
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Affiliation(s)
- F Falcioni
- Department of Inflammation/Autoimmune Diseases, Hoffmann-La Roche Inc., Nutley, New Jersey 07110, USA
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Vidović D, Falcioni F, Bolin DR, Nagy ZA. Down-regulation of class II major histocompatibility complex molecules on antigen presenting cells after interaction with helper T cells. Eur J Immunol 1995; 25:1326-31. [PMID: 7774635 DOI: 10.1002/eji.1830250529] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/27/2023]
Abstract
The recognition of antigenic peptides by CD4+ helper T cells is demonstrated here to result in a dramatic (up to 90%) decrease in expression of major histocompatibility complex (MHC) class II molecules on the surface of antigen-presenting cells (APC). The reduction is selective to the class II isotype presenting the antigen, but if affects both allelic forms of the same isotype in heterozygous APC. The observed MHC down-regulation requires a specific T cell receptor-peptide-class II interaction, a direct contact between T cell and APC, and the involvement of CD2 molecules. These findings have important implications for the regulation of immune response, self tolerance, and autoimmunity.
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Affiliation(s)
- D Vidović
- Department of Inflammation/Autoimmune Diseases, Hoffmann-La Roche, Inc., Nutley, New Jersey, 07110-1199, USA
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36
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Abstract
The thermal effects of a CO2 laser on the external root surface and inside the root canal were studied in vitro by means of computerized infrared (IR) thermography and a digital thermometer. One-hundred-and-eighty tooth roots with single root canals were irradiated internally and externally with laser power set at 0.5, 1, 1.5, 2, 3 and 4 W. The laser was used in two operating modes: pulsed (pulse 0.5 s) and continuous mode with exposure time of 10 s. Under the conditions of this experiment, temperature rises of between 1.5 and 19.1 degrees C at the external root surface and 1.5 and 12 degrees C inside the root canal and horizontally across the sectioned root surface were recorded. The results obtained with IR camera showed a higher temperature on the external root surface than the digital thermometer during and after lasing the root canal. Scanning electron microscope (SEM) analysis revealed that even low laser energy significantly damaged the external root cementum surfaces.
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Affiliation(s)
- I Anić
- Department of Dental Pathology, Dental School, University of Zagreb
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Abstract
Temperature changes in enamel tissue and the pulp chamber under the influence of a CO2 laser were measured by direct methods in vitro. X-ray diffraction analysis revealed alpha-Ca3(PO4), the high-temperature modification of enamel hydroxyapatite, thus indicating that the enamel melting temperature was above 1,000 degrees C in the interaction area of laser (continuous wave, 15 s exposure time, 1 mm spot size) and tissue. Powers of 0.5 and 1 W (continuous wave), 1.5 mm spot size, and 10 s exposure time vaporize and carbonize dentin tissue at the cavity bottom of class I preparation molars. The observed temperature rise of 4 degrees C indicates that thermal injury to the pulp tissue does not occur.
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Affiliation(s)
- I Anić
- Department of Dental Pathology, University of Zagreb Dental School, Croatia
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Affiliation(s)
- Z Dembić
- Central Research Unit, F. Hoffmann-La Roche & Co. Ltd., Basel, Switzerland
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Lupret V, Vidović D, Negovetić L, Novak M. Surgical approach to a large basilar artery bifurcation and upper basilar trunk aneurysm: case report. Surg Neurol 1990; 33:404-6. [PMID: 2349538 DOI: 10.1016/0090-3019(90)90153-g] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
The authors report a double aneurysm of the basilar artery located at the basilar artery bifurcation and upper basilar artery trunk between the posterior cerebral artery and the superior cerebellar artery. Clinical presentation, neuroradiological findings, surgical approach, and the operative technique are described and discussed.
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Affiliation(s)
- V Lupret
- Department of Neurosurgery, Clinical Hospital, Dr. M. Stojanović, Zagreb, Yugoslavia
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Abstract
Two sets of genes control the immune response of H-2d mice to the synthetic antigen poly(Glu50Tyr50) (GT). One set involves class II major histocompatibility complex (Mhc) loci encoding an Ad product that serves as a recognition context to GT-reactive helper T cells (Th). The other one is a background gene, the product of which, in association with the same Mhc-restricting element, mimics the GT/Ad complex. Mice expressing the GT-mimicking background-encoded structure (Imgt), which is preferentially displayed on B lymphoblasts, do not respond to GT as a consequence of self-tolerance. On the other hand, elimination of cells bearing Imgt renders these mice responsive to GT, demonstrating that tolerance to self can impoverish the immune system. Imgt is probably not identical to GT, but resembles it in the way it forms complexes with Ad molecules of Mhc.
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Affiliation(s)
- D Vidović
- Basel Institute for Immunology, Switzerland
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41
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Abstract
Distinct T-lymphocyte subsets recognize antigens in conjunction with different classes of major histocompatibility complex (MHC) glycoproteins using the T-cell receptor (TCR), a disulphide-linked heterodimer associated with the CD3 complex on the cell surface. In general, class I and class II MHC products provide a context for the recognition of foreign antigens by CD8+ and CD4+ T cells, respectively. This recognition seems to be largely dependent on alpha beta TCR heterodimers, whereas the function of the second gamma delta TCR, present on a minor subpopulation of cells, is still unknown. In the mouse, the existence of six cell-surface MHC class I products (K, D, L, Qa-1, Qa-2 and Tla) has been firmly established by serological, biochemical and genetic evidence. So far, only the most polymorphic of them, K, D and L ('classical' class I) have been reported as restriction elements for T-cell recognition of foreign antigens. The function of the relatively invariant Qa and Tla molecules remains unknown. We have made a T-helper cell hybridoma clone (DGT3) that recognizes synthetic copolymer poly(Glu50Tyr50) in the context of Qa-1 cell surface product, and has a CD4-CD8- phenotype. Our studies indicate that DGT3 cells express the gamma delta TCR on the cell surface, implicating its role in Qa-1-restricted antigen recognition. This is the first evidence that T cells can recognize foreign antigen in association with self Qa product, confirming that Qa molecules not only topologically, but also functionally, belong to the MHC.
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MESH Headings
- Animals
- Antigen-Antibody Reactions
- Antigens/immunology
- Blotting, Northern
- Histocompatibility Antigens Class I/physiology
- Intercellular Signaling Peptides and Proteins
- Interleukin-2/biosynthesis
- Mice
- Peptides/immunology
- RNA, Messenger/genetics
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/physiology
- Receptors, Antigen, T-Cell, gamma-delta
- T-Lymphocytes/immunology
- T-Lymphocytes, Helper-Inducer/immunology
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Affiliation(s)
- D Vidović
- Basel Institute for Immunology, Switzerland
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42
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Abstract
In mice, two sets of genes govern the immune response to the synthetic antigen GT. One maps to the major histocompatibility complex and behaves like a typical immune response gene. The second is a background gene encoding a cell surface structure found on B cells. Mice which express, and are therefore tolerant of, one form of this structure do not respond to GT. Thus, tolerance of self generates holes in the T-cell repertoire, partially crippling the immune system.
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Affiliation(s)
- D Vidović
- Basel Institute for Immunology, Switzerland
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43
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Negovetić L, Lupret V, Vidović D. [Use of lasers in neurosurgery]. Lijec Vjesn 1988; 110:380-3. [PMID: 3231006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
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44
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Vidović D, Klein J, Nagy ZA. Recessive T cell response to poly (Glu50Tyr50) possibly caused by self tolerance. J Immunol 1985; 134:3563-8. [PMID: 3921609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
The proliferative T cell response of inbred mouse strains to the random copolymer poly(Glu50Tyr50) (GT) was found to fall into two categories. Some strains responded only marginally (delta cpm values less than 10,000 and stimulation indices less than 3), whereas other strains mounted a substantial response (delta cpm 10,000 to 80,000, SI 3 to 30). The response is controlled by the A alpha and A beta loci of the major histocompatibility complex (MHC), as well as by genes not linked to the MHC. Because the response is selectively inhibited by monoclonal antibodies specific for the A alpha A beta molecule, we assume that its control by A loci is manifested as an A-restriction of the participating T (Ly-1high, Ly-2-) cells. It is of interest that the responsiveness is recessive in F1 hybrids of responder and nonresponder strains that are H-2-identical, but differ at their genetic background. Nonresponsiveness of these F1 mice is caused neither by a defect of antigen presentation, nor the result of immune suppression on priming or at the effector phase of the response. It is most likely the consequence of clonal deletion during the establishment of self-tolerance.
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45
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Vidović D, Klein J, Nagy ZA. Recessive T cell response to poly (Glu50Tyr50) possibly caused by self tolerance. The Journal of Immunology 1985. [DOI: 10.4049/jimmunol.134.6.3563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Abstract
The proliferative T cell response of inbred mouse strains to the random copolymer poly(Glu50Tyr50) (GT) was found to fall into two categories. Some strains responded only marginally (delta cpm values less than 10,000 and stimulation indices less than 3), whereas other strains mounted a substantial response (delta cpm 10,000 to 80,000, SI 3 to 30). The response is controlled by the A alpha and A beta loci of the major histocompatibility complex (MHC), as well as by genes not linked to the MHC. Because the response is selectively inhibited by monoclonal antibodies specific for the A alpha A beta molecule, we assume that its control by A loci is manifested as an A-restriction of the participating T (Ly-1high, Ly-2-) cells. It is of interest that the responsiveness is recessive in F1 hybrids of responder and nonresponder strains that are H-2-identical, but differ at their genetic background. Nonresponsiveness of these F1 mice is caused neither by a defect of antigen presentation, nor the result of immune suppression on priming or at the effector phase of the response. It is most likely the consequence of clonal deletion during the establishment of self-tolerance.
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46
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Vucak I, Juretić A, Vidović D, Nagy ZA, Klein J. Qa-like genes defined by CTL analysis of B10.W lines. J Immunol 1984; 132:2232-6. [PMID: 6201536] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Grants] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Twelve responder-stimulator combinations of mouse B10.W strains identical at K, D, and class II loci were tested for the generation of cytolytic T lymphocytes (CTL). No primary CTL could be obtained in any of the combinations but in nine combinations CTL were generated after priming in vivo. Six of these CTL are described. They define five antigenic determinants expressed exclusively in a small group of B10.W lines. The determinants appear to be part of the same system that resembles the Qa system originally defined in classic inbred strains. This resemblance rests on the observation that in vivo priming is necessary for the generation of the CTL, and that the CTL are not restricted in their reactivity by known H-2 loci. At least some of the determinants, however, appear to be controlled by a locus (or loci) associated with the K-rather than the D-end of the H-2 complex. Furthermore, some of the CTL directed against these Qa-like determinants cross-react with a molecule controlled by the K locus.
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47
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Vucak I, Juretić A, Vidović D, Nagy ZA, Klein J. Qa-like genes defined by CTL analysis of B10.W lines. The Journal of Immunology 1984. [DOI: 10.4049/jimmunol.132.5.2232] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Abstract
Twelve responder-stimulator combinations of mouse B10.W strains identical at K, D, and class II loci were tested for the generation of cytolytic T lymphocytes (CTL). No primary CTL could be obtained in any of the combinations but in nine combinations CTL were generated after priming in vivo. Six of these CTL are described. They define five antigenic determinants expressed exclusively in a small group of B10.W lines. The determinants appear to be part of the same system that resembles the Qa system originally defined in classic inbred strains. This resemblance rests on the observation that in vivo priming is necessary for the generation of the CTL, and that the CTL are not restricted in their reactivity by known H-2 loci. At least some of the determinants, however, appear to be controlled by a locus (or loci) associated with the K-rather than the D-end of the H-2 complex. Furthermore, some of the CTL directed against these Qa-like determinants cross-react with a molecule controlled by the K locus.
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48
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Vidović D, Klein J, Nagy ZA. The role of T cell subsets in the generation of secondary cytolytic responses in vitro against class I and class II major histocompatibility complex antigens. The Journal of Immunology 1984. [DOI: 10.4049/jimmunol.132.3.1113] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
Abstract
Abstract
Strain combinations generating cytotoxic T lymphocytes (CTL) specific for a single class I (K or D) or class II (A or E) MHC molecule were set up. The responder cells were separated into Ly subsets (Ly-1+2-, Ly-1-2+, and Ly-1+2+) on day 5 of culture by using lytic or non-lytic selection techniques and monoclonal Ly-specific antibodies. The separated subsets were restimulated on day 8 and tested for secondary CTL activity on day 12. Class II-specific secondary CTL could be generated from all three subsets, whereas class I-specific CTL developed only in the Ly-1+2+ and Ly-1-2+ subsets. The Ly-1+2+ cells underwent a phenotypic shift to Ly-1-2+ by day 12, whereas CTL generated from the Ly-1+2- and Ly-1-2+ subsets retained their phenotype up to the secondary effector stage. The cells separated according to their Ly phenotypes on day 5 were the progeny of unprimed progenitors expressing the same Ly phenotypes. Unprimed Ly-1+2+ cells gave rise to CTL in the absence of the other subsets, while unprimed Ly-1+2- and Ly-1-2+ cells required the help of Ly-1+2+ cells (or soluble factors) during priming to become non-lytic CTL precursors by day 5, and cytolytic cells after restimulation. The Ly-1+2- subset could generate class II-specific secondary CTL only in the absence of the other two subsets. Apparently, alloantigen-primed Ly-1+2+ and Ly-1-2+ cells suppressed the development of cytolytic activity in the Ly-1+2- subset. The combined data provide a comprehensive pathway of CTL differentiation from T cell subsets.
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49
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Vidović D, Klein J, Nagy ZA. The role of T cell subsets in the generation of secondary cytolytic responses in vitro against class I and class II major histocompatibility complex antigens. J Immunol 1984; 132:1113-7. [PMID: 6229577] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Strain combinations generating cytotoxic T lymphocytes (CTL) specific for a single class I (K or D) or class II (A or E) MHC molecule were set up. The responder cells were separated into Ly subsets (Ly-1+2-, Ly-1-2+, and Ly-1+2+) on day 5 of culture by using lytic or non-lytic selection techniques and monoclonal Ly-specific antibodies. The separated subsets were restimulated on day 8 and tested for secondary CTL activity on day 12. Class II-specific secondary CTL could be generated from all three subsets, whereas class I-specific CTL developed only in the Ly-1+2+ and Ly-1-2+ subsets. The Ly-1+2+ cells underwent a phenotypic shift to Ly-1-2+ by day 12, whereas CTL generated from the Ly-1+2- and Ly-1-2+ subsets retained their phenotype up to the secondary effector stage. The cells separated according to their Ly phenotypes on day 5 were the progeny of unprimed progenitors expressing the same Ly phenotypes. Unprimed Ly-1+2+ cells gave rise to CTL in the absence of the other subsets, while unprimed Ly-1+2- and Ly-1-2+ cells required the help of Ly-1+2+ cells (or soluble factors) during priming to become non-lytic CTL precursors by day 5, and cytolytic cells after restimulation. The Ly-1+2- subset could generate class II-specific secondary CTL only in the absence of the other two subsets. Apparently, alloantigen-primed Ly-1+2+ and Ly-1-2+ cells suppressed the development of cytolytic activity in the Ly-1+2- subset. The combined data provide a comprehensive pathway of CTL differentiation from T cell subsets.
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50
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Vidović D, Simon MM, Nagy ZA, Klein J. Lyt-phenotype conversion of cytotoxic T lymphocytes specific for the A and E class II major histocompatibility complex molecules. Scand J Immunol 1983; 17:583-6. [PMID: 6191384 DOI: 10.1111/j.1365-3083.1983.tb00827.x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
The Lyt-1+ (high) Lyt-2+/- (low) primary cytotoxic T lymphocytes (CTL) specific for A(A alpha A beta) molecules and the Lyt-1+Lyt-2+ primary E(E alpha E beta)-specific CTL are both shown to become Lyt-1 Lyt-2+ effector cells after secondary in vitro stimulation. Thus CTL specific for class II major histocompatibility complex molecules exhibit the same Lyt-phenotype shift as class-I-specific CTL do. The data suggest that either both class-I-specific and class-II-specific CTL follow the same differentiation pathway or regulatory cellular interactions allow only Lyt-1-Lyt-2+ cells to differentiate to secondary CTL.
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