Results 51 to 60 of about 548,676 (308)

Mitochondrial fatty acid oxidation is stimulated by red light irradiation

open access: yesFEBS Letters, EarlyView.
Light at different wavelengths has distinct effects on keratinocyte viability and metabolism. UVA light abrogates metabolic fluxes. Blue and green light have no effect on metabolic fluxes, while red light enhanced oxidative phosphorylation by promoting fatty acid oxidation. Keratinocytes are the primary constituents of sunlight‐exposed epidermis.
Manuel Alejandro Herrera   +4 more
wiley   +1 more source

Robustness evolution of collaborative innovation network in China’s smart grid industry

open access: yesSustainable Futures
Clarifying the evolution trend of network robustness is of great significance to how to protect and maintain the structure and performance of collaborative innovation networks of China's smart grid industry.
Yuan Tao
doaj   +1 more source

Non-Darwinian Molecular Biology

open access: yesFrontiers in Genetics, 2022
With the discovery of the double helical structure of DNA, a shift occurred in how biologists investigated questions surrounding cellular processes, such as protein synthesis. Instead of viewing biological activity through the lens of chemical reactions,
Alexander F. Palazzo, Nevraj S. Kejiou
doaj   +1 more source

Spatiotemporal and quantitative analyses of phosphoinositides – fluorescent probe—and mass spectrometry‐based approaches

open access: yesFEBS Letters, EarlyView.
Fluorescent probes allow dynamic visualization of phosphoinositides in living cells (left), whereas mass spectrometry provides high‐sensitivity, isomer‐resolved quantitation (right). Their synergistic use captures complementary aspects of lipid signaling. This review illustrates how these approaches reveal the spatiotemporal regulation and quantitative
Hiroaki Kajiho   +3 more
wiley   +1 more source

The Stochastic Evolutionary Game for a Population of Biological Networks under Natural Selection

open access: yesEvolutionary Bioinformatics, 2014
In this study, a population of evolutionary biological networks is described by a stochastic dynamic system with intrinsic random parameter fluctuations due to genetic variations and external disturbances caused by environmental changes in the ...
Bor-Sen Chen, Shih-Ju Ho
doaj   +1 more source

A Factorization Law for Entanglement Decay

open access: yes, 2007
We present a simple and general factorization law for quantum systems shared by two parties, which describes the time evolution of entanglement upon passage of either component through an arbitrary noisy channel.
A Jamiołkowski   +27 more
core   +1 more source

A Cre‐dependent lentiviral vector for neuron subtype‐specific expression of large proteins

open access: yesFEBS Letters, EarlyView.
We designed a versatile and modular lentivector comprising a Cre‐dependent switch and self‐cleaving 2A peptide and tested it for co‐expression of GFP and a 2.8 kb gene of interest (GOI) in mouse cortical parvalbumin (PV+) interneurons and midbrain dopamine (TH+) neurons.
Weixuan Xue   +6 more
wiley   +1 more source

Mechanisms of Mutational Robustness in Transcriptional Regulation

open access: yesFrontiers in Genetics, 2015
Robustness is the invariance of a phenotype in the face of environmental or genetic change. The phenotypes produced by transcriptional regulatory circuits are gene expression patterns that are to some extent robust to mutations.
Joshua L. Payne   +4 more
doaj   +1 more source

The robustness of a signaling complex to domain rearrangements facilitates network evolution. [PDF]

open access: yesPLoS Biology, 2014
The rearrangement of protein domains is known to have key roles in the evolution of signaling networks and, consequently, is a major tool used to synthetically rewire networks.
Paloma M Sato   +3 more
doaj   +1 more source

Fundamental Properties of the Evolution of Mutational Robustness [PDF]

open access: yes, 2015
Evolution on neutral networks of genotypes has been found in models to concentrate on genotypes with high mutational robustness, to a degree determined by the topology of the network.
Altenberg, Lee
core  

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