| Keyword search (4,163 papers available) | ![]() |
"Mixture" Keyword-tagged Publications:
| Title | Authors | PubMed ID | |
|---|---|---|---|
| 1 | Trajectories of Alcohol-Related Problems Among First-Year Nursing Students: Nature, Predictors, and Outcomes | Cheyroux P; Morin AJS; O' Connor RM; Colombat P; Vancappel A; Eltanoukhi R; Gillet N; | 41797206 PSYCHOLOGY |
| 2 | Scientists warning: we must change paradigm for a revolution in toxicology and world food supply | Seralini GE; Jungers G; Andersen A; Antoniou M; Aschner M; Bacon MH; Bertrand M; Bohn T; Bonfleur ML; Bücking E; Defarge N; Djemil R; Domingo JL; Douzelet J; Fagan J; Fournier T; Garcia JLY; Gil S; Hervé-Gruyer P; Hilbeck A; Hilty L; Huber D; Joyeux H; Khan I; Kouretas D; Lemarchand F; Loening U; Longo G; Mesnage R; Nikolopoulou DI; Panoff JM; Parente C; Robinson C; Scherber C; Sprangers D; Sultan C; Tsatsakis A; Vandelac L; Wan NF; Wynne B; Zaller JG; Zerrad-Saadi A; Zhang X; | 41551494 CHEMBIOCHEM |
| 3 | Optimizing Mixtures of Metal-Organic Frameworks for Robust and Bespoke Passive Atmospheric Water Harvesting | Harriman C; Ke Q; Vlugt TJH; Howarth AJ; Simon CM; | 41427123 CHEMBIOCHEM |
| 4 | Deep clustering analysis via variational autoencoder with Gamma mixture latent embeddings | Guo J; Fan W; Amayri M; Bouguila N; | 39662201 ENCS |
| 5 | Developmental heterogeneity of school burnout across the transition from upper secondary school to higher education: A 9-year follow-up study | Nadon L; Morin AJS; Gilbert W; Olivier E; Salmela-Aro K; | 39645324 PSYCHOLOGY |
| 6 | Self-consolidating concrete: Dataset on mixture design and key properties | Amine El Mahdi Safhi | 38533116 ENCS |
| 7 | Unsupervised Mixture Models on the Edge for Smart Energy Consumption Segmentation with Feature Saliency | Al-Bazzaz H; Azam M; Amayri M; Bouguila N; | 37837127 ENCS |
| 8 | Entropy-Based Variational Scheme with Component Splitting for the Efficient Learning of Gamma Mixtures | Bourouis S; Pawar Y; Bouguila N; | 35009726 ENCS |
| 9 | Mixtures of rare earth elements show antagonistic interactions in Chlamydomonas reinhardtii | Morel E; Cui L; Zerges W; Wilkinson KJ; | 34175518 BIOLOGY |
| 10 | BioMiCo: a supervised Bayesian model for inference of microbial community structure. | Shafiei M, Dunn KA, Boon E, MacDonald SM, Walsh DA, Gu H, Bielawski JP | 25774293 BIOLOGY |
| Title: | Mixtures of rare earth elements show antagonistic interactions in Chlamydomonas reinhardtii | ||||
| Authors: | Morel E, Cui L, Zerges W, Wilkinson KJ | ||||
| Link: | https://pubmed.ncbi.nlm.nih.gov/34175518/ | ||||
| DOI: | 10.1016/j.envpol.2021.117594 | ||||
| Publication: | Environmental pollution (Barking, Essex : 1987) | ||||
| Keywords: | Microalgae; Mixture; Rare earth elements; Transcriptomic analysis; | ||||
| PMID: | 34175518 | Category: | Date Added: | 2021-06-28 | |
| Dept Affiliation: |
BIOLOGY
1 Biophysical Environmental Chemistry Group, University of Montreal, P.O. Box 6128, Succ. Centre-Ville, Montreal, QC, Canada. 2 Dept. of Biology, Concordia University, 7141 Sherbrooke W., H4B 1R6, Montreal, QC, Canada. 3 Biophysical Environmental Chemistry Group, University of Montreal, P.O. Box 6128, Succ. Centre-Ville, Montreal, QC, Canada. Electronic address: kj.wilkinson@umontreal.ca. |
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Description: |
In order to better understand the environmental risks of the rare earth elements (REEs), it is necessary to determine their fate and biological effects under environmentally relevant conditions (e.g. at low concentrations, REE mixtures). Here, the unicellular freshwater microalga, Chlamydomonas reinhardtii, was exposed for 2 h to one of three soluble REEs (Ce, Tm, Y) salts at 0.5 µM or to an equimolar mixture of these REEs. RNA sequencing revealed common biological effects among the REEs. Known functions of the differentially expressed genes support effects of REEs on protein processing in the endoplasmic reticulum, phosphate transport and the homeostasis of Fe and Ca. The only stress response detected was related to protein misfolding in the endoplasmic reticulum. When the REEs were applied as a mixture, antagonistic effects were overwhelmingly observed with transcriptomic results suggesting that the REEs were initially competing with each other for bio-uptake. Metal biouptake results were consistent with this interpretation. These results suggest that the approach of government agencies to regulate the REEs using biological effects data from single metal exposures may be a largely conservative approach. |



