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Gaddis N, Fortriede J, Guo M, Bardes EE, Kouril M, Tabar S, Burns K, Ardini-Poleske ME, Loos S, Schnell D, Jin K, Iyer B, Du Y, Huo BX, Bhattacharjee A, Korte J, Munshi R, Smith V, Herbst A, Kitzmiller JA, Clair GC, Carson JP, Adkins J, Morrisey EE, Pryhuber GS, Misra R, Whitsett JA, Sun X, Heathorn T, Paten B, Prasath VBS, Xu Y, Tickle T, Aronow BJ, Salomonis N. LungMAP Portal Ecosystem: Systems-level Exploration of the Lung. Am J Respir Cell Mol Biol 2024; 70:129-139. [PMID: 36413377 PMCID: PMC10848697 DOI: 10.1165/rcmb.2022-0165oc] [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] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/16/2022] [Accepted: 11/21/2022] [Indexed: 11/23/2022] Open
Abstract
An improved understanding of the human lung necessitates advanced systems models informed by an ever-increasing repertoire of molecular omics, cellular imaging, and pathological datasets. To centralize and standardize information across broad lung research efforts, we expanded the LungMAP.net website into a new gateway portal. This portal connects a broad spectrum of research networks, bulk and single-cell multiomics data, and a diverse collection of image data that span mammalian lung development and disease. The data are standardized across species and technologies using harmonized data and metadata models that leverage recent advances, including those from the Human Cell Atlas, diverse ontologies, and the LungMAP CellCards initiative. To cultivate future discoveries, we have aggregated a diverse collection of single-cell atlases for multiple species (human, rhesus, and mouse) to enable consistent queries across technologies, cohorts, age, disease, and drug treatment. These atlases are provided as independent and integrated queryable datasets, with an emphasis on dynamic visualization, figure generation, reanalysis, cell-type curation, and automated reference-based classification of user-provided single-cell genomics datasets (Azimuth). As this resource grows, we intend to increase the breadth of available interactive interfaces, supported data types, data portals and datasets from LungMAP, and external research efforts.
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Affiliation(s)
- Nathan Gaddis
- RTI International, Research Triangle Park, North Carolina
| | - Joshua Fortriede
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Minzhe Guo
- Division of Pulmonary Biology, The Perinatal Institute, and
| | - Eric E. Bardes
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Michal Kouril
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Scott Tabar
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Kevin Burns
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | | | - Stephanie Loos
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Daniel Schnell
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Kang Jin
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Balaji Iyer
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, Ohio
| | - Yina Du
- Division of Pulmonary Biology, The Perinatal Institute, and
| | - Bing-Xing Huo
- Data Sciences Platform, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Anukana Bhattacharjee
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
| | - Jeff Korte
- Data Sciences Platform, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Ruchi Munshi
- Data Sciences Platform, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Victoria Smith
- Data Sciences Platform, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Andrew Herbst
- Data Sciences Platform, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | | | - Geremy C. Clair
- Biological Science Division, Pacific Northwest National Laboratory, Richland, Washington
| | - James P. Carson
- Texas Advanced Computing Center, University of Texas at Austin, Austin, Texas
| | - Joshua Adkins
- Biological Science Division, Pacific Northwest National Laboratory, Richland, Washington
| | - Edward E. Morrisey
- Department of Medicine and
- Penn-CHOP Lung Biology Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania
| | - Gloria S. Pryhuber
- Department of Pediatrics, University of Rochester Medical Center, Rochester, New York
| | - Ravi Misra
- Department of Pediatrics, University of Rochester Medical Center, Rochester, New York
| | - Jeffrey A. Whitsett
- Division of Pulmonary Biology, The Perinatal Institute, and
- Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, Ohio
| | - Xin Sun
- Department of Pediatrics and
- Department of Biological Sciences, University of California, San Diego, San Diego, California; and
| | - Trevor Heathorn
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, California
| | - Benedict Paten
- UC Santa Cruz Genomics Institute, University of California, Santa Cruz, Santa Cruz, California
| | - V. B. Surya Prasath
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, Ohio
| | - Yan Xu
- Division of Pulmonary Biology, The Perinatal Institute, and
- Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, Ohio
| | - Tim Tickle
- Data Sciences Platform, The Broad Institute of MIT and Harvard, Cambridge, Massachusetts
| | - Bruce J. Aronow
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, Ohio
| | - Nathan Salomonis
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, Ohio
- Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, Ohio
- Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, Ohio
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2
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Sun X, Perl AK, Li R, Bell SM, Sajti E, Kalinichenko VV, Kalin TV, Misra RS, Deshmukh H, Clair G, Kyle J, Crotty Alexander LE, Masso-Silva JA, Kitzmiller JA, Wikenheiser-Brokamp KA, Deutsch G, Guo M, Du Y, Morley MP, Valdez MJ, Yu HV, Jin K, Bardes EE, Zepp JA, Neithamer T, Basil MC, Zacharias WJ, Verheyden J, Young R, Bandyopadhyay G, Lin S, Ansong C, Adkins J, Salomonis N, Aronow BJ, Xu Y, Pryhuber G, Whitsett J, Morrisey EE. A census of the lung: CellCards from LungMAP. Dev Cell 2022; 57:112-145.e2. [PMID: 34936882 PMCID: PMC9202574 DOI: 10.1016/j.devcel.2021.11.007] [Citation(s) in RCA: 47] [Impact Index Per Article: 23.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 07/19/2021] [Accepted: 11/05/2021] [Indexed: 01/07/2023]
Abstract
The human lung plays vital roles in respiration, host defense, and basic physiology. Recent technological advancements such as single-cell RNA sequencing and genetic lineage tracing have revealed novel cell types and enriched functional properties of existing cell types in lung. The time has come to take a new census. Initiated by members of the NHLBI-funded LungMAP Consortium and aided by experts in the lung biology community, we synthesized current data into a comprehensive and practical cellular census of the lung. Identities of cell types in the normal lung are captured in individual cell cards with delineation of function, markers, developmental lineages, heterogeneity, regenerative potential, disease links, and key experimental tools. This publication will serve as the starting point of a live, up-to-date guide for lung research at https://www.lungmap.net/cell-cards/. We hope that Lung CellCards will promote the community-wide effort to establish, maintain, and restore respiratory health.
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Affiliation(s)
- Xin Sun
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA; Department of Biological Sciences, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA.
| | - Anne-Karina Perl
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA
| | - Rongbo Li
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Sheila M Bell
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
| | - Eniko Sajti
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Vladimir V Kalinichenko
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA; Center for Lung Regenerative Medicine, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
| | - Tanya V Kalin
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA
| | - Ravi S Misra
- Department of Pediatrics Division of Neonatology, The University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Hitesh Deshmukh
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA
| | - Geremy Clair
- Biological Science Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Jennifer Kyle
- Biological Science Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Laura E Crotty Alexander
- Deparment of Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Jorge A Masso-Silva
- Deparment of Medicine, Division of Pulmonary, Critical Care, and Sleep Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Joseph A Kitzmiller
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
| | - Kathryn A Wikenheiser-Brokamp
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Division of Pathology and Laboratory Medicine, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Department of Pathology & Laboratory Medicine, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA
| | - Gail Deutsch
- Department of Pathology, University of Washington School of Medicine, Seattle, WA, USA; Department of Laboratories, Seattle Children's Hospital, OC.8.720, 4800 Sand Point Way Northeast, Seattle, WA 98105, USA
| | - Minzhe Guo
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA
| | - Yina Du
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA
| | - Michael P Morley
- Penn-CHOP Lung Biology Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Michael J Valdez
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Haoze V Yu
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Kang Jin
- Departments of Biomedical Informatics, Developmental Biology, and Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Eric E Bardes
- Departments of Biomedical Informatics, Developmental Biology, and Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Jarod A Zepp
- Penn-CHOP Lung Biology Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Terren Neithamer
- Penn-CHOP Lung Biology Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Maria C Basil
- Penn-CHOP Lung Biology Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - William J Zacharias
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Department of Internal Medicine, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA
| | - Jamie Verheyden
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Randee Young
- Department of Pediatrics, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093, USA
| | - Gautam Bandyopadhyay
- Department of Pediatrics Division of Neonatology, The University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Sara Lin
- National Heart, Lung, and Blood Institute, National Institutes of Health, Bethesda, MD, USA
| | - Charles Ansong
- Biological Science Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Joshua Adkins
- Biological Science Division, Pacific Northwest National Laboratory, Richland, WA, USA
| | - Nathan Salomonis
- Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Bruce J Aronow
- Departments of Biomedical Informatics, Developmental Biology, and Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
| | - Yan Xu
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA
| | - Gloria Pryhuber
- Department of Pediatrics Division of Neonatology, The University of Rochester Medical Center, Rochester, NY 14642, USA
| | - Jeff Whitsett
- Division of Neonatology and Pulmonary Biology, Cincinnati Children's Hospital Medical Center, 3333 Burnet Avenue, Cincinnati, OH 45229, USA; Department of Pediatrics, University of Cincinnati College of Medicine, 3230 Eden Avenue, Cincinnati, OH 45267, USA
| | - Edward E Morrisey
- Penn-CHOP Lung Biology Institute, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA; Department of Cell and Developmental Biology, University of Pennsylvania, Philadelphia, PA 19104, USA.
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3
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Jin K, Bardes EE, Mitelpunkt A, Wang JY, Bhatnagar S, Sengupta S, Krummel DP, Rothenberg ME, Aronow BJ. An interactive single cell web portal identifies gene and cell networks in COVID-19 host responses. iScience 2021; 24:103115. [PMID: 34522848 PMCID: PMC8428985 DOI: 10.1016/j.isci.2021.103115] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2021] [Revised: 08/17/2021] [Accepted: 09/08/2021] [Indexed: 12/12/2022] Open
Abstract
Numerous studies have provided single-cell transcriptome profiles of host responses to SARS-CoV-2 infection. Critically lacking however is a data mine that allows users to compare and explore cell profiles to gain insights and develop new hypotheses. To accomplish this, we harmonized datasets from COVID-19 and other control condition blood, bronchoalveolar lavage, and tissue samples, and derived a compendium of gene signature modules per cell type, subtype, clinical condition, and compartment. We demonstrate approaches to interacting with, exploring, and functional evaluating these modules via a new interactive web portal ToppCell (http://toppcell.cchmc.org/). As examples, we develop three hypotheses: (1) alternatively-differentiated monocyte-derived macrophages form a multicelllar signaling cascade that drives T cell recruitment and activation; (2) COVID-19-generated platelet subtypes exhibit dramatically altered potential to adhere, coagulate, and thrombose; and (3) extrafollicular B maturation is driven by a multilineage cell activation network that expresses an ensemble of genes strongly associated with risk for developing post-viral autoimmunity.
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Affiliation(s)
- Kang Jin
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
- Department of Biomedical Informatics, University of Cincinnati, Cincinnati, OH 45229, USA
| | - Eric E Bardes
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Alexis Mitelpunkt
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
- Pediatric Rehabilitation, Dana-Dwek Children's Hospital, Tel Aviv Medical Center, Tel Aviv, 6423906, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Jake Y Wang
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Surbhi Bhatnagar
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
- Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Soma Sengupta
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
| | - Daniel Pomeranz Krummel
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH 45267, USA
| | - Marc E Rothenberg
- Division of Allergy and Immunology, Department of Pediatrics, Cincinnati Children's Hospital Medical Center, University of Cincinnati, Cincinnati, OH 45229, USA
| | - Bruce J Aronow
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
- Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH 45221, USA
- Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, OH 45256, USA
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4
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Jin K, Bardes EE, Mitelpunkt A, Wang JY, Bhatnagar S, Sengupta S, Krummel DP, Rothenberg ME, Aronow BJ. Implicating Gene and Cell Networks Responsible for Differential COVID-19 Host Responses via an Interactive Single Cell Web Portal. bioRxiv 2021:2021.06.07.447287. [PMID: 34127975 PMCID: PMC8202427 DOI: 10.1101/2021.06.07.447287] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/27/2022]
Abstract
Numerous studies have provided single-cell transcriptome profiles of host responses to SARS-CoV-2 infection. Critically lacking however is a datamine that allows users to compare and explore cell profiles to gain insights and develop new hypotheses. To accomplish this, we harmonized datasets from COVID-19 and other control condition blood, bronchoalveolar lavage, and tissue samples, and derived a compendium of gene signature modules per cell type, subtype, clinical condition, and compartment. We demonstrate approaches to probe these via a new interactive web portal (http://toppcell.cchmc.org/COVID-19). As examples, we develop three hypotheses: (1) a multicellular signaling cascade among alternatively differentiated monocyte-derived macrophages whose tasks include T cell recruitment and activation; (2) novel platelet subtypes with drastically modulated expression of genes responsible for adhesion, coagulation and thrombosis; and (3) a multilineage cell activator network able to drive extrafollicular B maturation via an ensemble of genes strongly associated with risk for developing post-viral autoimmunity.
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Affiliation(s)
- Kang Jin
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
- Department of Biomedical Informatics, University of Cincinnati, Cincinnati, OH, 45229, USA
| | - Eric E. Bardes
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
| | - Alexis Mitelpunkt
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
- Pediatric Rehabilitation, Dana-Dwek Children’s Hospital, Tel Aviv Medical Center, Tel Aviv, 6423906, Israel
- Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, 6997801, Israel
| | - Jake Y. Wang
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
| | - Surbhi Bhatnagar
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
- Department of Electrical Engineering and Computer Science, University of Cincinnati, Cincinnati, OH, 45221, USA
| | - Soma Sengupta
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
| | - Daniel Pomeranz Krummel
- Department of Neurology and Rehabilitation Medicine, University of Cincinnati College of Medicine, Cincinnati, OH, 45267, USA
| | - Marc E. Rothenberg
- Division of Allergy and Immunology, Department of Pediatrics, Cincinnati Children’s Hospital Medical Center, University of Cincinnati, Cincinnati, OH, 45229, USA
| | - Bruce J. Aronow
- Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, OH, 45229, USA
- Department of Pediatrics, University of Cincinnati School of Medicine, Cincinnati, OH, 45256, USA
- Lead contact
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5
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Wu C, Bardes EE, Jegga AG, Aronow BJ. ToppMiR: ranking microRNAs and their mRNA targets based on biological functions and context. Nucleic Acids Res 2014; 42:W107-13. [PMID: 24829448 PMCID: PMC4086116 DOI: 10.1093/nar/gku409] [Citation(s) in RCA: 19] [Impact Index Per Article: 1.9] [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: 03/01/2014] [Revised: 04/18/2014] [Accepted: 04/28/2014] [Indexed: 12/14/2022] Open
Abstract
Identifying functionally significant microRNAs (miRs) and their correspondingly most important messenger RNA targets (mRNAs) in specific biological contexts is a critical task to improve our understanding of molecular mechanisms underlying organismal development, physiology and disease. However, current miR-mRNA target prediction platforms rank miR targets based on estimated strength of physical interactions and lack the ability to rank interactants as a function of their potential to impact a given biological system. To address this, we have developed ToppMiR (http://toppmir.cchmc.org), a web-based analytical workbench that allows miRs and mRNAs to be co-analyzed via biologically centered approaches in which gene function associated annotations are used to train a machine learning-based analysis engine. ToppMiR learns about biological contexts based on gene associated information from expression data or from a user-specified set of genes that relate to context-relevant knowledge or hypotheses. Within the biological framework established by the genes in the training set, its associated information content is then used to calculate a features association matrix composed of biological functions, protein interactions and other features. This scoring matrix is then used to jointly rank both the test/candidate miRs and mRNAs. Results of these analyses are provided as downloadable tables or network file formats usable in Cytoscape.
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Affiliation(s)
- Chao Wu
- Department of Computer Science, University of Cincinnati, Cincinnati, OH 45221, USA Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Eric E Bardes
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA
| | - Anil G Jegga
- Department of Computer Science, University of Cincinnati, Cincinnati, OH 45221, USA Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA Department of Pediatrics, University of Cincinnati, Cincinnati, OH 45221, USA
| | - Bruce J Aronow
- Department of Computer Science, University of Cincinnati, Cincinnati, OH 45221, USA Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH 45229, USA Department of Pediatrics, University of Cincinnati, Cincinnati, OH 45221, USA
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Kaimal V, Sardana D, Bardes EE, Gudivada RC, Chen J, Jegga AG. Integrative systems biology approaches to identify and prioritize disease and drug candidate genes. Methods Mol Biol 2011; 700:241-259. [PMID: 21204038 DOI: 10.1007/978-1-61737-954-3_16] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.2] [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: 05/30/2023]
Abstract
Although a number of computational approaches have been developed to integrate data from multiple sources for the purpose of predicting or prioritizing candidate disease genes, relatively few of them focus on identifying or ranking drug targets. To address this deficit, we have developed an approach to specifically identify and prioritize disease and drug candidate genes. In this chapter, we demonstrate the applicability of integrative systems-biology-based approaches to identify potential drug targets and candidate genes by employing information extracted from public databases. We illustrate the method in detail using examples of two neurodegenerative diseases (Alzheimer's and Parkinson's) and one neuropsychiatric disease (Schizophrenia).
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Affiliation(s)
- Vivek Kaimal
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
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Kaimal V, Bardes EE, Tabar SC, Jegga AG, Aronow BJ. ToppCluster: a multiple gene list feature analyzer for comparative enrichment clustering and network-based dissection of biological systems. Nucleic Acids Res 2010; 38:W96-102. [PMID: 20484371 PMCID: PMC2896202 DOI: 10.1093/nar/gkq418] [Citation(s) in RCA: 276] [Impact Index Per Article: 19.7] [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] [Indexed: 01/06/2023] Open
Abstract
ToppCluster is a web server application that leverages a powerful enrichment analysis and underlying data environment for comparative analyses of multiple gene lists. It generates heatmaps or connectivity networks that reveal functional features shared or specific to multiple gene lists. ToppCluster uses hypergeometric tests to obtain list-specific feature enrichment P-values for currently 17 categories of annotations of human-ortholog genes, and provides user-selectable cutoffs and multiple testing correction methods to control false discovery. Each nameable gene list represents a column input to a resulting matrix whose rows are overrepresented features, and individual cells per-list P-values and corresponding genes per feature. ToppCluster provides users with choices of tabular outputs, hierarchical clustering and heatmap generation, or the ability to interactively select features from the functional enrichment matrix to be transformed into XGMML or GEXF network format documents for use in Cytoscape or Gephi applications, respectively. Here, as example, we demonstrate the ability of ToppCluster to enable identification of list-specific phenotypic and regulatory element features (both cis-elements and 3'UTR microRNA binding sites) among tissue-specific gene lists. ToppCluster's functionalities enable the identification of specialized biological functions and regulatory networks and systems biology-based dissection of biological states. ToppCluster can be accessed freely at http://toppcluster.cchmc.org.
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Affiliation(s)
- Vivek Kaimal
- Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA
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8
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Abstract
ToppGene Suite (http://toppgene.cchmc.org; this web site is free and open to all users and does not require a login to access) is a one-stop portal for (i) gene list functional enrichment, (ii) candidate gene prioritization using either functional annotations or network analysis and (iii) identification and prioritization of novel disease candidate genes in the interactome. Functional annotation-based disease candidate gene prioritization uses a fuzzy-based similarity measure to compute the similarity between any two genes based on semantic annotations. The similarity scores from individual features are combined into an overall score using statistical meta-analysis. A P-value of each annotation of a test gene is derived by random sampling of the whole genome. The protein–protein interaction network (PPIN)-based disease candidate gene prioritization uses social and Web networks analysis algorithms (extended versions of the PageRank and HITS algorithms, and the K-Step Markov method). We demonstrate the utility of ToppGene Suite using 20 recently reported GWAS-based gene–disease associations (including novel disease genes) representing five diseases. ToppGene ranked 19 of 20 (95%) candidate genes within the top 20%, while ToppNet ranked 12 of 16 (75%) candidate genes among the top 20%.
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Affiliation(s)
- Jing Chen
- Department of Environmental Health, University of Cincinnati, Cincinnati, OH, USA
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