Results 71 to 80 of about 6,728,627 (290)

Microbiome‐blood–brain barrier interactions in aging — mechanisms and therapeutic potential

FEBS Letters, EarlyView.
Aging reshapes the gut microbiome (↓SCFA‐producing commensals; ↑pro‐inflammatory outputs), shifting circulating metabolites (↓SCFAs; ↑LPS, ↑TMAO, ↑PAA) that act at the BBB to increase nonspecific transcytosis, alter transport, and promote astrocyte reactivity, heightening brain vulnerability.
Daniel Cuervo‐Zanatta, Hari Baskar Balasubramanian, Amir Pasokh, Marietta Zille   +3 more
wiley   +1 more source

Global gene network exploration based on explainable artificial intelligence approach.

PLoS ONE, 2020
In recent years, personalized gene regulatory networks have received significant attention, and interpretation of the multilayer networks has been a critical issue for a comprehensive understanding of gene regulatory systems. Although several statistical
Heewon Park, Koji Maruhashi, Rui Yamaguchi, Seiya Imoto, Satoru Miyano   +4 more
doaj   +1 more source

Deconstructing the pluripotency gene regulatory network [PDF]

Nature Cell Biology, 2018
Pluripotent stem cells can be isolated from embryos or derived by reprogramming. Pluripotency is stabilized by an interconnected network of pluripotency genes that cooperatively regulate gene expression. Here we describe the molecular principles of pluripotency gene function and highlight post-transcriptional controls, particularly those induced by RNA-
Mo Li, Juan Carlos Izpisua Belmonte
openaire   +3 more sources

Structure‐forward targeting of claudins with synthetic binders

FEBS Letters, EarlyView.
Claudins form the paracellular barriers between epithelial and endothelial tissues at tight junctions and are targets for molecular binders with the goal of modulating barrier permeability. Claudin‐binding molecules are relevant in drug delivery or in altering claudin interactions with disease‐causing proteins.
Alex J. Vecchio
wiley   +1 more source

CoryneRegNet 4.0 – A reference database for corynebacterial gene regulatory networks

BMC Bioinformatics, 2007
Background Detailed information on DNA-binding transcription factors (the key players in the regulation of gene expression) and on transcriptional regulatory interactions of microorganisms deduced from literature-derived knowledge, computer predictions ...
Baumbach Jan
doaj   +1 more source

Nutrient/TOR signaling controls adipose mitochondrial transcription factor A (TFAM) to regulate organismal growth in Drosophila

FEBS Letters, EarlyView.
Animals must match their growth rate to available nutrients. We show that in Drosophila larvae, the nutrient‐sensing TOR kinase controls growth by regulating levels of TFAM, a key regulator of mitochondrial function, in the adipose tissue. When nutrients are abundant, high TOR activity suppresses TFAM, lowering mitochondrial bioenergetic activity and ...
Shrivani Sriskanthadevan‐Pirahas, Shahoon Khan, Abhishek Sharma, Byoungchun Lee, Savraj S. Grewal   +4 more
wiley   +1 more source

De novo evolution of complex, global and hierarchical gene regulatory mechanisms [PDF]

, 2010
Gene regulatory networks exhibit complex, hierarchical features such as global regulation and network motifs. There is much debate about whether the evolutionary origins of such features are the results of adaptation, or the by-products of non-adaptive ...
Dov J. Stekel, Jenkins, Dafyd J., Dafyd J. Jenkins, Stekel, Dov   +3 more
core   +1 more source

The microbiome in human skin aging

FEBS Letters, EarlyView.
Age‐related skin changes encompass the well‐known visible phenotypic alterations, together with microbiome dysbiosis and a series of molecular aging hallmarks. These hallmarks characterize not only a fully stablished aged phenotype but also the skin aging process itself.
Manuel Huerta Arana, Cornelia Wiegand, Omid Omrani, Mario Fabri   +3 more
wiley   +1 more source

Robust H∞ feedback control for uncertain stochastic delayed genetic regulatory networks with additive and multiplicative noise [PDF]

, 2010
The official published version can found at the link below.Noises are ubiquitous in genetic regulatory networks (GRNs). Gene regulation is inherently a stochastic process because of intrinsic and extrinsic noises that cause kinetic parameter variations ...
Min Du, Wang, Z, PAN, Wei, Du, M., Li, Y., Yurong Li, Pan, W, Gao, H, Zidong Wang, Li, Y, Wei Pan, Du, M, Wang, Z., Gao, H., Huijun Gao   +14 more
core   +1 more source

ViBEx: A Visualization Tool for Gene Expression Analysis

BioMedInformatics
Background: Variations in the states of Gene Regulatory Networks significantly influence disease outcomes and drug development. Boolean Networks serve as a tool to conceptualize and understand the complex relationships between genes.
Michael H. Terrefortes-Rosado, Andrea V. Nieves-Rivera, Humberto Ortiz-Zuazaga, Marie Lluberes-Contreras   +3 more
doaj   +1 more source