Air particles from 31 Chinese cities induced differential cellular responses
Current understanding of ambient particulate matter (PM) health effects is restricted by their sources, time periods, and component differences. Here, an eukaryote model organism Saccharomyces cerevisiae was used to study the differing cell level responses when exposed to 465 air samples collected f...
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| Format: | Article |
| Language: | English |
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Science Press
2025-05-01
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| Series: | National Science Open |
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| Online Access: | https://www.sciengine.com/doi/10.1360/nso/20240054 |
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| author | Zhang Lu Liu Huaying Xing Qisong Chen Haoxuan Yao Maosheng |
| author_facet | Zhang Lu Liu Huaying Xing Qisong Chen Haoxuan Yao Maosheng |
| author_sort | Zhang Lu |
| collection | DOAJ |
| description | Current understanding of ambient particulate matter (PM) health effects is restricted by their sources, time periods, and component differences. Here, an eukaryote model organism Saccharomyces cerevisiae was used to study the differing cell level responses when exposed to 465 air samples collected from 31 Chinese cities across major latitudes. Results from cell-released volatile organic compounds (VOCs), transcriptome, and proteome showed large variations in responses of the cells with the exposure. Gene and protein expression of S. cerevisiae with <sc>3 h</sc> PM exposure were mainly enriched in varying metabolism pathways. The genes significantly associated with VOCs are mostly enriched in six major KEGG groups, including cellular processes, genetic information processing, human diseases, metabolism, and organismal systems. Different PM components, including microbial, metal elements and organic compounds, are important players in the differences. This work also revealed the potential VOCs biomarkers for real-time monitoring of PM-induced health effects in vivo. |
| format | Article |
| id | doaj-art-3e1bf7179ff04feaae316b962d683383 |
| institution | Kabale University |
| issn | 2097-1168 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | Science Press |
| record_format | Article |
| series | National Science Open |
| spelling | doaj-art-3e1bf7179ff04feaae316b962d6833832025-08-20T03:50:54ZengScience PressNational Science Open2097-11682025-05-01410.1360/nso/20240054eb33e642Air particles from 31 Chinese cities induced differential cellular responsesZhang Lu0Liu Huaying1Xing Qisong2Chen Haoxuan3Yao Maosheng4["State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China"]["State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China"]["State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China"]["State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China"]["State Key Joint Laboratory of Environmental Simulation and Pollution Control, College of Environmental Sciences and Engineering, Peking University, Beijing 100871, China","Institute of Environment & Health, Inner Mongolia Normal University, Hohhot 010022, China"]Current understanding of ambient particulate matter (PM) health effects is restricted by their sources, time periods, and component differences. Here, an eukaryote model organism Saccharomyces cerevisiae was used to study the differing cell level responses when exposed to 465 air samples collected from 31 Chinese cities across major latitudes. Results from cell-released volatile organic compounds (VOCs), transcriptome, and proteome showed large variations in responses of the cells with the exposure. Gene and protein expression of S. cerevisiae with <sc>3 h</sc> PM exposure were mainly enriched in varying metabolism pathways. The genes significantly associated with VOCs are mostly enriched in six major KEGG groups, including cellular processes, genetic information processing, human diseases, metabolism, and organismal systems. Different PM components, including microbial, metal elements and organic compounds, are important players in the differences. This work also revealed the potential VOCs biomarkers for real-time monitoring of PM-induced health effects in vivo.https://www.sciengine.com/doi/10.1360/nso/20240054<italic>Saccharomyces cerevisiae</italic>VOCambient particulate matter (PM)biomarker |
| spellingShingle | Zhang Lu Liu Huaying Xing Qisong Chen Haoxuan Yao Maosheng Air particles from 31 Chinese cities induced differential cellular responses National Science Open <italic>Saccharomyces cerevisiae</italic> VOC ambient particulate matter (PM) biomarker |
| title | Air particles from 31 Chinese cities induced differential cellular responses |
| title_full | Air particles from 31 Chinese cities induced differential cellular responses |
| title_fullStr | Air particles from 31 Chinese cities induced differential cellular responses |
| title_full_unstemmed | Air particles from 31 Chinese cities induced differential cellular responses |
| title_short | Air particles from 31 Chinese cities induced differential cellular responses |
| title_sort | air particles from 31 chinese cities induced differential cellular responses |
| topic | <italic>Saccharomyces cerevisiae</italic> VOC ambient particulate matter (PM) biomarker |
| url | https://www.sciengine.com/doi/10.1360/nso/20240054 |
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