Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Matthias S, Klein"'
Publikováno v:
Microorganisms, Vol 12, Iss 7, p 1433 (2024)
This study aimed to assess the suitability of fermented food interventions to replenish damaged gut microbiota. Metagenomic assessment of published sequencing data found that fermented food interventions led to a significant increase in the gut antib
Externí odkaz:
https://doaj.org/article/2fcc407898234be8add9b39dbe891021
Publikováno v:
Metabolites, Vol 11, Iss 12, p 863 (2021)
Rapid detection of viable microbes remains a challenge in fields such as microbial food safety. We here present the application of deep learning algorithms to the rapid detection of pathogenic and non-pathogenic microbes using metabolomics data. Micr
Externí odkaz:
https://doaj.org/article/7221a82dccd547e08f6b35a846e49e10
Publikováno v:
Metabolites, Vol 11, Iss 7, p 419 (2021)
The current date labeling system for pasteurized milk is based on the predicted growth of spoilage microorganisms, but inherent inaccuracies and the inability to account for environmental factors (e.g., temperature fluctuations) contribute to househo
Externí odkaz:
https://doaj.org/article/ea962d0550a5405e899ab7e3f74af670
Disrupted gut microbiota as a critical risk factor for many noncommunicable diseases is largely driven by gut microbiota-impacting drugs, especially orally administered and biliary excreted antibiotics. Fermented food consumption has been encouraged
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1e36c22d8f5ad8967f7a4c6569051c89
https://doi.org/10.1101/2023.04.21.537834
https://doi.org/10.1101/2023.04.21.537834
Publikováno v:
Metabolomics. 19
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d25157fef392281bddbf8c0554be83e
https://doi.org/10.1007/s11306-023-01996-x
https://doi.org/10.1007/s11306-023-01996-x
Autor:
Christopher Newell, Rasha Sabouny, Dustin. S. Hittel, Timothy E. Shutt, Aneal Khan, Matthias S. Klein, Jane Shearer
Publikováno v:
Frontiers in Physiology, Vol 9 (2018)
Mesenchymal stem cells (MSCs) are the most commonly used cells in tissue engineering and regenerative medicine. MSCs can promote host tissue repair through several different mechanisms including donor cell engraftment, release of cell signaling facto
Externí odkaz:
https://doaj.org/article/3a4bf420c0b04c9c80197f68130be995
Autor:
Hans J. Vogel, Shannon Bainbridge, Shuhiba Mohammad, Kristi B. Adamo, Matthias S. Klein, Jane Shearer
Publikováno v:
Journal of Proteome Research. 20:1630-1638
Pre-pregnancy obesity and excessive gestational weight gain (GWG) are risk factors for future maternal and childhood obesity. Maternal obesity is potentially communicated to the fetus in part by the metabolome, altering the child's metabolic program
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d61be28012f4c3370675b4a964af7dcd
https://doi.org/10.1021/acs.jproteome.0c00854
https://doi.org/10.1021/acs.jproteome.0c00854
Females of the Northern house mosquito, Culex pipiens, enter an overwintering dormancy, or diapause, in response to short day lengths and low environmental temperatures. Diapausing female mosquitoes feed exclusively on sugar-rich products rather than
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4eeb060733941c8d67033632749201a8
https://doi.org/10.1101/2022.06.03.494749
https://doi.org/10.1101/2022.06.03.494749
Publikováno v:
BioTechniques, Vol 54, Iss 5, Pp 251-256 (2013)
Solution nuclear magnetic resonance (NMR) spectroscopy is widely used to analyze complex mixtures of organic compounds such as biological fluids and tissue extracts. Targeted profiling approaches with reliable compound quantitifcation are hampered, h
Externí odkaz:
https://doaj.org/article/15d3260ff53248c6aebdd7e5d3e47a5a
Autor:
Matthias S. Klein
Publikováno v:
Journal of Proteome Research. 20:1397-1404
Data from untargeted metabolomics studies employing nuclear magnetic resonance (NMR) spectroscopy oftentimes contain negative values. These negative values hamper data processing and analysis algorithms and prevent the use of such data in multiomics
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::70cf4c049d92dee67b09a5f948c8ad51
https://doi.org/10.1021/acs.jproteome.0c00684
https://doi.org/10.1021/acs.jproteome.0c00684