A scalable workflow to characterize the human exposome
Humans are exposed to millions of chemicals but mass spectrometry (MS)-based targeted biomonitoring assays are usually limited to a few hundred known hazards. Here, the authors develop a workflow for MS-based untargeted exposome profiling of known and unidentified environmental chemicals.
| Main Authors: | , , , , , , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2021-09-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-021-25840-9 |
| _version_ | 1818754403439476736 |
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| author | Xin Hu Douglas I. Walker Yongliang Liang Matthew Ryan Smith Michael L. Orr Brian D. Juran Chunyu Ma Karan Uppal Michael Koval Greg S. Martin David C. Neujahr Carmen J. Marsit Young-Mi Go Kurt D. Pennell Gary W. Miller Konstantinos N. Lazaridis Dean P. Jones |
| author_facet | Xin Hu Douglas I. Walker Yongliang Liang Matthew Ryan Smith Michael L. Orr Brian D. Juran Chunyu Ma Karan Uppal Michael Koval Greg S. Martin David C. Neujahr Carmen J. Marsit Young-Mi Go Kurt D. Pennell Gary W. Miller Konstantinos N. Lazaridis Dean P. Jones |
| author_sort | Xin Hu |
| collection | DOAJ |
| description | Humans are exposed to millions of chemicals but mass spectrometry (MS)-based targeted biomonitoring assays are usually limited to a few hundred known hazards. Here, the authors develop a workflow for MS-based untargeted exposome profiling of known and unidentified environmental chemicals. |
| first_indexed | 2024-12-18T05:22:42Z |
| format | Article |
| id | doaj.art-4d62c49b878b4caf97797da50f1ea5a1 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-18T05:22:42Z |
| publishDate | 2021-09-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-4d62c49b878b4caf97797da50f1ea5a12022-12-21T21:19:38ZengNature PortfolioNature Communications2041-17232021-09-0112111210.1038/s41467-021-25840-9A scalable workflow to characterize the human exposomeXin Hu0Douglas I. Walker1Yongliang Liang2Matthew Ryan Smith3Michael L. Orr4Brian D. Juran5Chunyu Ma6Karan Uppal7Michael Koval8Greg S. Martin9David C. Neujahr10Carmen J. Marsit11Young-Mi Go12Kurt D. Pennell13Gary W. Miller14Konstantinos N. Lazaridis15Dean P. Jones16Division of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory UniversityDepartment of Environmental Medicine and Public Health, Icahn School of Medicine at Mount SinaiDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory UniversityDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory UniversityDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory UniversityDivision of Gastroenterology and Hepatology, Mayo ClinicHuck Institute of the Life Sciences, Penn State UniversityDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory UniversityDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory UniversityDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory UniversityDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory UniversityDepartment of Environmental Health, Rollins School of Public Health at Emory UniversityDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory UniversitySchool of Engineering, Brown UniversityDepartment of Environmental Health Sciences, Mailman School of Public Health, Columbia UniversityDivision of Gastroenterology and Hepatology, Mayo ClinicDivision of Pulmonary, Allergy, Critical Care, and Sleep Medicine, Department of Medicine, School of Medicine at Emory UniversityHumans are exposed to millions of chemicals but mass spectrometry (MS)-based targeted biomonitoring assays are usually limited to a few hundred known hazards. Here, the authors develop a workflow for MS-based untargeted exposome profiling of known and unidentified environmental chemicals.https://doi.org/10.1038/s41467-021-25840-9 |
| spellingShingle | Xin Hu Douglas I. Walker Yongliang Liang Matthew Ryan Smith Michael L. Orr Brian D. Juran Chunyu Ma Karan Uppal Michael Koval Greg S. Martin David C. Neujahr Carmen J. Marsit Young-Mi Go Kurt D. Pennell Gary W. Miller Konstantinos N. Lazaridis Dean P. Jones A scalable workflow to characterize the human exposome Nature Communications |
| title | A scalable workflow to characterize the human exposome |
| title_full | A scalable workflow to characterize the human exposome |
| title_fullStr | A scalable workflow to characterize the human exposome |
| title_full_unstemmed | A scalable workflow to characterize the human exposome |
| title_short | A scalable workflow to characterize the human exposome |
| title_sort | scalable workflow to characterize the human exposome |
| url | https://doi.org/10.1038/s41467-021-25840-9 |
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