| Vorig instituut |
Top | Publicaties |
Universiteit Gent; Faculteit Bio-ingenieurswetenschappen; Vakgroep Biotechnologie; Centrum voor Microbiële Ecologie en Technologie (CMET), meer
|
| Publicaties (17) |
Top | Publicaties |
| A1 publicaties (14) [show] |
- Heyse, J.; Props, R.; Kongnuan, P.; De Schryver, P.; Rombaut, G.; Defoirdt, T.; Boon, N. (2021). Rearing water microbiomes in white leg shrimp (Litopenaeus vannamei) larviculture assemble stochastically and are influenced by the microbiomes of live feed products. Environ. Microbiol. 23(1): 281-298. https://hdl.handle.net/10.1111/1462-2920.15310, meer
 Heyse, J.; Schattenberg, F.; Rubbens, P.; Müller, S.; Waegeman, W.; Boon, N.; Props, R. (2021). Predicting the presence and abundance of bacterial taxa in environmental communities through flow cytometric fingerprinting. mSystems 6(5): e00551-21. https://dx.doi.org/10.1128/msystems.00551-21, meer- Rubbens, P.; Props, R.; Kerckhof, F.-M.; Boon, N.; Waegeman, W. (2021). Cytometric fingerprints of gut microbiota predict Crohn’s disease state. ISME J. 15(1): 354-358. https://dx.doi.org/10.1038/s41396-020-00762-4, meer
- Rubbens, P.; Props, R.; Kerckhof, F.-M.; Boon, N.; Waegeman, W. (2021). PhenoGMM: Gaussian mixture modeling of cytometry data quantifies changes inmicrobial community structure. mSphere 6(1): e00530-20. https://dx.doi.org/10.1128/msphere.00530-20, meer
- Rubbens, P.; Props, R. (2021). Computational analysis of microbial flow cytometry data. mSystems 6(1): e00895-20. https://dx.doi.org/10.1128/msystems.00895-20, meer
- García-Timermans, C.; Rubbens, P.; Heyse, J.; Kerckhof, F.-M.; Props, R.; Skirtach, A.G.; Waegeman, W.; Boon, N. (2020). Discriminating bacterial phenotypes at the population and single‐cell level: a comparison of flow cytometry and Raman spectroscopy fingerprinting. Cytometry A 97(7): 713-726. https://dx.doi.org/10.1002/cyto.a.23952, meer
- Czechowska, Kamila; Lannigan, Joanne; Wang, Lili; Arcidiacono, Judith; Ashhurst, Thomas M.; Barnard, Ruth M.; Bauer, Steven; Bispo, Cláudia; Bonilla, Diana L.; Brinkman, Ryan R.; Cabanski, Maciej; Chang, Hyun‐Dong; Chakrabarti, Lina; Chojnowski, Grace; Cotleur, Bunny; Degheidy, Heba; Dela Cruz, Gelo V.; Eck, Steven; Elliott, John; Errington, Rachel; Filby, Andy; Gagnon, Dominic; Gardner, Rui; Green, Cherie; Gregory, Michael; Groves, Christopher J.; Hall, Christopher; Hammes, Frederik; Hedrick, Michael; Hoffman, Robert; Icha, Jaroslav; Ivaska, Johanna; Jenner, Dominic C.; Jones, Derek; Kerckhof, Frederiek‐Maarten; Kukat, Christian; Lanham, David; Leavesley, Silas; Lee, Michael; Lin‐Gibson, Sheng; Litwin, Virginia; Liu, Yanli; Molloy, Jenny; Moore, Jonni S.; Müller, Susann; Nedbal, Jakub; Niesner, Raluca; Nitta, Nao; Ohlsson‐Wilhelm, Betsy; Paul, Nicole E.; Perfetto, Stephen; Portat, Ziv; Props, Ruben; Radtke, Stefan; Rayanki, Radhika; Rieger, Aja; Rogers, Samson; Rubbens, Peter; Salomon, Robert; Schiemann, Matthias; Sharpe, John; Sonder, Soren Ulrik; Stewart, Jennifer J.; Sun, Yongliang; Ulrich, Henning; Van Isterdael, Gert; Vitaliti, Alessandra; Vreden, Caryn; Weber, Michael; Zimmermann, Jakob; Vacca, Giacomo; Wallace, Paul; Tárnok, Attila (2019). Cyt‐Geist: current and future challenges in cytometry: reports of the CYTO 2018 conference workshops. Cytometry A 95(6): 598-644. https://dx.doi.org/10.1002/cyto.a.23777, meer
- Heyse, J.; Buysschaert, B.; Props, R.; Rubbens, P.; Skirtach, A.G.; Waegeman, W.; Boon, N. (2019). Coculturing bacteria leads to reduced phenotypic heterogeneities. Appl. Environ. Microbiol. 85(8): e02814-18. https://dx.doi.org/10.1128/aem.02814-18, meer
- Rubbens, P.; Schmidt, M.L.; Props, R.; Biddanda, B.A.; Boon, N.; Waegeman, W.; Denef, V.J. (2019). Randomized Lasso links microbial taxa with aquatic functional groups inferred from flow cytometry. mSystems 4(5): e00093-19. https://dx.doi.org/10.1128/msystems.00093-19, meer
- Props, R.; Rubbens, P.; Besmer, M.; Buysschaert, B.; Sigrist, J.; Weilenmann, H.; Waegeman, W.; Boon, N.; Hammes, F. (2018). Detection of microbial disturbances in a drinking water microbial community through continuous acquisition and advanced analysis of flow cytometry data. Wat. Res. 145: 73-82. https://dx.doi.org/10.1016/j.watres.2018.08.013, meer
- Props, R.; Kerckhof, F.-M.; Rubbens, P.; De Vrieze, J.; Hernandez Sanabria, E.; Waegeman, W.; Monsieurs, P.; Hammes, F.; Boon, N. (2017). Absolute quantification of microbial taxon abundances. ISME J. 11(2): 584-587. https://dx.doi.org/10.1038/ismej.2016.117, meer
- Rubbens, P.; Props, R.; Boon, N.; Waegeman, W. (2017). Flow cytometric single-cell identification of populations in synthetic bacterial communities. PLoS One 12(1): e0169754. https://dx.doi.org/10.1371/journal.pone.0169754, meer
- Rubbens, P.; Props, R.; Garcia-Timermans, C.; Boon, N.; Waegeman, W. (2017). Stripping flow cytometry: how many detectors do we need for bacterial identification? Cytometry A 91(12): 1184-1191. https://dx.doi.org/10.1002/cyto.a.23284, meer
- Props, R.; Monsieurs, P.; Mysara, M.; Clement, L.; Boon, N. (2016). Measuring the biodiversity of microbial communities by flow cytometry. Methods Ecol. Evol. 7(11): 1376-1385. https://dx.doi.org/10.1111/2041-210x.12607, meer
|
| Abstracts (2) [show] |
- Heyse, J.; Props, R.; Kongnuan, P.; De Schryver, P.; Rombaut, G.; Defoirdt, T.; Boon, N. (2021). Microbiomes of live feed products have an important contribution to the rearing water microbiomes in Litopenaeus vannamei larviculture, in: Mees, J. et al. Book of abstracts – VLIZ Marine Science Day, Online event 3 March 2021. VLIZ Special Publication, 85: pp. 69, meer
- Pluym, T.; Van Landuyt, J.; Boon, N.; Props, R. (2021). Probing the single-cell activity of Alcanivorax venustensis during deep-sea oil degradation, in: Mees, J. et al. Book of abstracts – VLIZ Marine Science Day. Oostende, Belgium, 3 March 2021. VLIZ Special Publication, 87: pp. 95, meer
|
| Thesis (co-)promotor [show] | |
|
|
