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In aquatic ecosystems, the biocide triclosan represents a hazard for the non-target microalgae. So far, algal responses were mainly investigated at apical levels hampering the acquisition of a holistic view on primary, adaptive, and compensatory stress responses. We assessed responses of the chlorophyte Scenedesmus vacuolatus to triclosan at apical (growth, photosynthesis) and molecular (transcriptome, metabolome) levels for comparative pathway sensitivity analysis. For each responsive signal (contigs, metabolites), a concentration-response curve was modeled and effect concentrations were calculated leading to the setting of cumulative sensitivity distributions. Molecular responses showed higher sensitivity than apical observations. The functional annotation of contigs and metabolites revealed 118 metabolic pathways putatively impaired by triclosan, highlighting a wide repercussion on the algal metabolism. Metabolites involved in the lipid metabolism showed decreasing trends along the concentration gradient and a globally highest sensitivity, pointing to the primary target of triclosan. The pathways involved in xenobiotic degradation and membrane transporters were mainly regulated in the transcriptome with increasing response trends comprising compensatory responses. The suggested novel approach, combining apical and multi-omics analyses in a concentration-response framework improves mechanistic understanding and mode of action analysis on non-targeted organisms and is suggested to better implement high-throughput multi-omics data in environmental risk assessment.
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http://dx.doi.org/10.1016/j.jhazmat.2020.122727 | DOI Listing |
ACS Synth Biol
September 2025
Departamento de Ingeniería Química y Bioprocesos, Escuela de Ingeniería, Pontificia Universidad Católica de Chile, Santiago 7820436, Chile.
β-Carotene is a high-value compound with multiple commercial applications as a pigment and due to its antioxidant properties. For its industrial production, precision fermentation using engineered microorganisms has been proposed as an attractive alternative given consumer concerns and technical limitations of traditional production methods such as chemical synthesis and extraction from plants. However, the factors limiting microbial production are complex and remain poorly understood, hindering bioprocess scale-up.
View Article and Find Full Text PDFSLAS Discov
July 2025
University of Arizona College of Medicine-Phoenix, Phoenix, AZ, USA. Electronic address:
Focal Adhesion Kinase (FAK) is a non-receptor tyrosine kinase and scaffolding protein that is primarily regulated by integrin signaling. FAK signaling increases cell motility in both normal and cancer cells, and FAK is often overexpressed and/or dysregulated in many types of cancer. FAK has three different domains: an N-terminal FERM domain, a central kinase domain (the traditional target for drug discovery), and a C-terminal focal adhesion targeting (FAT) domain.
View Article and Find Full Text PDFEnviron Entomol
June 2025
Bayer CropScience LP, Chesterfield, MO, USA.
Ecological risk assessment is a key component of the regulatory process required for registration of crop protection products around the world. The western honey bee (Apis mellifera) is the model organism for pesticide risk assessments for bees, but there are uncertainties over whether it is predictive of risks to other bees. Consequently, efforts are underway to develop test methodologies for other non-Apis bees.
View Article and Find Full Text PDFJ Environ Manage
May 2025
Department of Mechanical, Industrial, and Mechatronics Engineering, Toronto Metropolitan University, Toronto, Ontario, M5B 2K3, Canada. Electronic address:
A framework for evaluating the economic, environmental, and health benefits of upgrading residential heating furnaces in Ontario, Canada, is presented focusing on income-based disparities across seven groups. Energy efficiency programs often overlook income-based differences, limiting access to rebates. Key objectives include assessing benefits for consumers and society, and designing an income-tailored rebate policy.
View Article and Find Full Text PDFbioRxiv
February 2025
Department of Data Science, Dana-Farber Cancer Institute, Boston, MA, USA.
Understanding drug responses at the cellular level is essential for elucidating mechanisms of action and advancing preclinical drug development. Traditional dose-response models rely on simplified metrics, limiting their ability to quantify parameters like cell division, death, and transition rates between cell states. To address these limitations, we developed (BESTDR), a novel framework modeling cell growth and treatment response dynamics to estimate concentration-response relationships using longitudinal cell count data.
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