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MetabolomicsAdaptive laboratory evolution of microbial co-cultures for improved metabolite secretion

Adaptive laboratory evolution has proven highly effective for obtaining microorganisms with enhanced capabilities. Yet, this method is inherently restricted to the traits that are positively linked to cell fitness, such as nutrient utilization. Here, we introduce coevolution of obligatory mutuali...

2021-07-02 | MTBLS2217 | MetaboLights
MetabolomicsA metabolomic study of Gomphrena agrestis in Brazilian Cerrado suggests drought-adaptive strategies on metabolism
Drought is the main factor that limits the distribution and productivity of plant species. In the Brazilian Cerrado, the vegetation is adapted to a seasonal climate with long- and short-term periods of drought. To analyze the metabolic strategies under such conditions, a metabolomic approach was use...
2021-10-06 | MTBLS613 | MetaboLights
MetabolomicsUnraveling biomolecular and ecological mechanisms underlying the response of anammox consortia under xenobiotic stress by multi-omics strategy
Anaerobic ammonium oxidation (anammox) emerges as a sustainable solution for nitrogen removal in sewage, but it is susceptible to stress induced by xenobiotics that are ubiquitous in sewage. Despite wide recognition of this critical issue, a comprehensive understanding of the molecular and ecologica...
2026-03-27 | MTBLS14153 | MetaboLights
TranscriptomicsAdaptive evolution in yeast
A Saccharomyces cerevisiae population was cultured for many generations under conditions to which it is not optimally adapted. These experiments were designed to investigate adaptive evolution under natural selection. This study is described in more detail in Ferea TL, et al. 1999. Proc Natl Acad Sc...
ORGANISM(S): Saccharomyces cerevisiae 
2002-02-11 | E-GEOD-29 | biostudies-arrayexpress
TranscriptomicsTimecourse analysis of gene expression by murine bone marrow-generated dendritic cells following treatment with Poly I:C
BACKGROUND: Dendritic cells (DC) play a central role in primary immune responses and become potent stimulators of the adaptive immune response after undergoing the critical process of maturation. Understanding the dynamics of DC maturation would provide key insights into this important process. Time...
ORGANISM(S): Mus musculus 
2010-08-26 | E-GEOD-21033 | biostudies-arrayexpress
ProteomicsBenefit of circadian clocks in adaptive immunity and vaccination responses
The adaptive immune response is under circadian control, yet, the benefit of this rhythmicity for the organism is unknown. Furthermore, it is not understood why adaptive immune reactions continue to exhibit circadian changes over long periods of time. Using a combination of experimental and mathemat...
ORGANISM(S): Mus musculus (Mouse) 
2023-02-08 | PXD039050 | Pride
Mathematical modeling Adaptive immunity Sars-cov-2 Bmal1 Hepatitis a Circadian rhythm Vaccination Leukocyte trafficking 
ModelsWesterhoff2020 - systems biology model of the coronavirus pandemic 2020
Using standard systems biology methodologies a 14-compartment dynamic model was developed for the Corona virus epidemic. The model predicts that: (i) it will be impossible to limit lockdown intensity such that sufficient herd immunity develops for this epidemic to die down, (ii) the death toll from ...
2024-09-02 | BIOMD0000000988 | BioModels
COVID-19 
UnknownAn adaptive planning strategy in carbon ion therapy of pancreatic cancer involving beam angle selection.
Not available
S-EPMC8850338 | biostudies-literature
ModelsAbell2011_CalciumSignaling_WithAdaptation
This model is from the article: Parallel adaptive feedback enhances reliability of the Ca2+ signaling system. Abell E, Ahrends R, Bandara S, Park BO, Teruel MN. Proc Natl Acad Sci U S A. 2011 Aug 15. 21844332 , Abstract: ...
2024-09-02 | BIOMD0000000355 | BioModels
ModelsAbell2011_CalciumSignaling_WithoutAdaptation
This model is from the article: Parallel adaptive feedback enhances reliability of the Ca2+ signaling system. Abell E, Ahrends R, Bandara S, Park BO, Teruel MN. Proc Natl Acad Sci U S A. 2011 Aug 15. 21844332 , Abstract: ...
2024-09-02 | BIOMD0000000354 | BioModels
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