Development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data
The blood transcriptome of human subjects can be profiled on an almost routine basis in translational research settings. Here the authors show that a fixed and well-characterized repertoire of transcriptional modules can be employed as a reusable framework for the analysis, visualization and interpr...
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| Format: | Article |
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Nature Publishing Group
2021-07-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-24584-w |
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doaj-53730b2675634242a15233e155dbf8a02021-07-25T11:38:58ZengNature Publishing GroupNature Communications2041-17232021-07-0112111910.1038/s41467-021-24584-wDevelopment of a fixed module repertoire for the analysis and interpretation of blood transcriptome dataMatthew C. Altman0Darawan Rinchai1Nicole Baldwin2Mohammed Toufiq3Elizabeth Whalen4Mathieu Garand5Basirudeen Syed Ahamed Kabeer6Mohamed Alfaki7Scott R. Presnell8Prasong Khaenam9Aaron Ayllón-Benítez10Fleur Mougin11Patricia Thébault12Laurent Chiche13Noemie Jourde-Chiche14J. Theodore Phillips15Goran Klintmalm16Anne O’Garra17Matthew Berry18Chloe Bloom19Robert J. Wilkinson20Christine M. Graham21Marc Lipman22Ganjana Lertmemongkolchai23Davide Bedognetti24Rodolphe Thiebaut25Farrah Kheradmand26Asuncion Mejias27Octavio Ramilo28Karolina Palucka29Virginia Pascual30Jacques Banchereau31Damien Chaussabel32Systems Immunology, Benaroya Research InstituteResearch Branch, Sidra MedicineBaylor Institute for Immunology Research, Baylor Research InstituteResearch Branch, Sidra MedicineSystems Immunology, Benaroya Research InstituteResearch Branch, Sidra MedicineResearch Branch, Sidra MedicineResearch Branch, Sidra MedicineSystems Immunology, Benaroya Research InstituteSystems Immunology, Benaroya Research InstituteInserm U1219 Bordeaux Population Health Research Center, Bordeaux UniversityInserm U1219 Bordeaux Population Health Research Center, Bordeaux UniversityLaBRI, CNRS UMR5800, Bordeaux UniversityDepartment of Internal Medicine, Hopital EuropéenAix-Marseille University, C2VN, INSERM 1263Baylor Institute for Immunology Research, Baylor Research InstituteBaylor Institute for Immunology Research, Baylor Research InstituteLaboratory of Immunoregulation and Infection, The Francis Crick InstituteRoyal Cornwall Hospitals NHS TrustNational Heart and Lung Institute, Imperial College LondonThe Francis Crick InstituteLaboratory of Immunoregulation and Infection, The Francis Crick InstituteUCL Respiratory, Division of Medicine, University College LondonCentre for Research and Development of Medical Diagnostic Laboratories, Faculty of Associated Medical Sciences, Khon Kaen UniversityResearch Branch, Sidra MedicineInserm U1219 Bordeaux Population Health Research Center, Bordeaux UniversityBaylor College of Medicine & Center for Translational Research on Inflammatory Diseases, Michael E. DeBakey VAMCAbigail Wexner Research Institute at Nationwide Children’s Hospital and the Ohio State University School of MedicineAbigail Wexner Research Institute at Nationwide Children’s Hospital and the Ohio State University School of MedicineBaylor Institute for Immunology Research, Baylor Research InstituteBaylor Institute for Immunology Research, Baylor Research InstituteBaylor Institute for Immunology Research, Baylor Research InstituteSystems Immunology, Benaroya Research InstituteThe blood transcriptome of human subjects can be profiled on an almost routine basis in translational research settings. Here the authors show that a fixed and well-characterized repertoire of transcriptional modules can be employed as a reusable framework for the analysis, visualization and interpretation of such datahttps://doi.org/10.1038/s41467-021-24584-w |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Matthew C. Altman Darawan Rinchai Nicole Baldwin Mohammed Toufiq Elizabeth Whalen Mathieu Garand Basirudeen Syed Ahamed Kabeer Mohamed Alfaki Scott R. Presnell Prasong Khaenam Aaron Ayllón-Benítez Fleur Mougin Patricia Thébault Laurent Chiche Noemie Jourde-Chiche J. Theodore Phillips Goran Klintmalm Anne O’Garra Matthew Berry Chloe Bloom Robert J. Wilkinson Christine M. Graham Marc Lipman Ganjana Lertmemongkolchai Davide Bedognetti Rodolphe Thiebaut Farrah Kheradmand Asuncion Mejias Octavio Ramilo Karolina Palucka Virginia Pascual Jacques Banchereau Damien Chaussabel |
| spellingShingle |
Matthew C. Altman Darawan Rinchai Nicole Baldwin Mohammed Toufiq Elizabeth Whalen Mathieu Garand Basirudeen Syed Ahamed Kabeer Mohamed Alfaki Scott R. Presnell Prasong Khaenam Aaron Ayllón-Benítez Fleur Mougin Patricia Thébault Laurent Chiche Noemie Jourde-Chiche J. Theodore Phillips Goran Klintmalm Anne O’Garra Matthew Berry Chloe Bloom Robert J. Wilkinson Christine M. Graham Marc Lipman Ganjana Lertmemongkolchai Davide Bedognetti Rodolphe Thiebaut Farrah Kheradmand Asuncion Mejias Octavio Ramilo Karolina Palucka Virginia Pascual Jacques Banchereau Damien Chaussabel Development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data Nature Communications |
| author_facet |
Matthew C. Altman Darawan Rinchai Nicole Baldwin Mohammed Toufiq Elizabeth Whalen Mathieu Garand Basirudeen Syed Ahamed Kabeer Mohamed Alfaki Scott R. Presnell Prasong Khaenam Aaron Ayllón-Benítez Fleur Mougin Patricia Thébault Laurent Chiche Noemie Jourde-Chiche J. Theodore Phillips Goran Klintmalm Anne O’Garra Matthew Berry Chloe Bloom Robert J. Wilkinson Christine M. Graham Marc Lipman Ganjana Lertmemongkolchai Davide Bedognetti Rodolphe Thiebaut Farrah Kheradmand Asuncion Mejias Octavio Ramilo Karolina Palucka Virginia Pascual Jacques Banchereau Damien Chaussabel |
| author_sort |
Matthew C. Altman |
| title |
Development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data |
| title_short |
Development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data |
| title_full |
Development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data |
| title_fullStr |
Development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data |
| title_full_unstemmed |
Development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data |
| title_sort |
development of a fixed module repertoire for the analysis and interpretation of blood transcriptome data |
| publisher |
Nature Publishing Group |
| series |
Nature Communications |
| issn |
2041-1723 |
| publishDate |
2021-07-01 |
| description |
The blood transcriptome of human subjects can be profiled on an almost routine basis in translational research settings. Here the authors show that a fixed and well-characterized repertoire of transcriptional modules can be employed as a reusable framework for the analysis, visualization and interpretation of such data |
| url |
https://doi.org/10.1038/s41467-021-24584-w |
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