Results 61 to 70 of about 261,824 (309)

Integration of circadian and hypoxia signaling via non‐canonical heterodimerization

FEBS Letters, EarlyView.
CLOCK, BMAL1, and HIFs are basic helix‐loop‐helix and Per‐Arnt‐Sim domain (bHLH‐PAS) proteins, which function as transcription factors. bHLH‐PAS proteins are designated in two classes. Many class I proteins are regulated by environmental signals via their PAS domains, but such signals have not been identified for all.
Sicong Wang, Katja A. Lamia
wiley   +1 more source

Modeling regulatory network topology improves genome-wide analyses of complex human traits

Nature Communications, 2021
Gene regulatory networks are a useful means of inferring functional interactions from large-scale genomic data. Here, the authors develop a Bayesian framework integrating GWAS summary statistics with gene regulatory networks to identify genetic ...
Xiang Zhu, Zhana Duren, Wing Hung Wong
doaj   +1 more source

Mechanisms of parasite‐mediated disruption of brain vessels

FEBS Letters, EarlyView.
Parasites can affect the blood vessels of the brain, often causing serious neurological problems. This review explains how different parasites interact with and disrupt these vessels, what this means for brain health, and why these processes matter. Understanding these mechanisms may help us develop better ways to prevent or treat brain infections in ...
Leonor Loira, Sílvia Arroz‐Madeira, Cláudio A. Franco, Sara Silva Pereira   +3 more
wiley   +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

Approximate kernel reconstruction for time-varying networks

BioData Mining, 2019
Background Most existing algorithms for modeling and analyzing molecular networks assume a static or time-invariant network topology. Such view, however, does not render the temporal evolution of the underlying biological process as molecular networks ...
Gregory Ditzler, Nidhal Bouaynaya, Roman Shterenberg, Hassan M. Fathallah-Shaykh   +3 more
doaj   +1 more source

Neuronal and glial 3D chromatin architecture informs the cellular etiology of brain disorders

Nature Communications, 2021
The cellular heterogeneity in brain obscures the identification of robust cellular regulatory networks. Here the authors integrate genome-wide chromosome conformation data from sorted neurons and glia, with transcriptomic and enhancer profiles, to ...
Benxia Hu, Hyejung Won, Won Mah, Royce B. Park, Bibi Kassim, Keeley Spiess, Alexey Kozlenkov, Cheynna A. Crowley, Sirisha Pochareddy, The PsychENCODE Consortium, Yun Li, Stella Dracheva, Nenad Sestan, Schahram Akbarian, Daniel H. Geschwind   +14 more
doaj   +1 more source

Time after time – circadian clocks through the lens of oscillator theory

FEBS Letters, EarlyView.
Oscillator theory bridges physics and circadian biology. Damped oscillators require external drivers, while limit cycles emerge from delayed feedback and nonlinearities. Coupling enables tissue‐level coherence, and entrainment aligns internal clocks with environmental cues.
Marta del Olmo, Carolin Ector, Hanspeter Herzel   +2 more
wiley   +1 more source

SimiC enables the inference of complex gene regulatory dynamics across cell phenotypes

Communications Biology, 2022
SimiC, a single-cell gene regulatory inference framework is presented that can infer multiple gene regulatory networks across related cell phenotypes, unraveling complex regulatory dynamics.
Jianhao Peng, Guillermo Serrano, Ian M. Traniello, Maria E. Calleja-Cervantes, Ullas V. Chembazhi, Sushant Bangru, Teresa Ezponda, Juan Roberto Rodriguez-Madoz, Auinash Kalsotra, Felipe Prosper, Idoia Ochoa, Mikel Hernaez   +11 more
doaj   +1 more source

Gene regulatory network.

, 2020
Gene network inference is the task of reconstructing regulatory networks among genes from high-throughput (in particular transcriptomic) data. Here we introduce the main concepts of this rich and rapidly evolving field. In order to illustrate the basic principles of gene network inference we simulate gene expression patterns using two distinct ...
Hütt, Marc-Thorsten, Lesne, Annick
openaire   +1 more source

Homeostasis in gene regulatory networks

International Journal of Biomathematics
Gene regulatory networks lie at the heart of many important intracellular signal transduction processes. A Gene Regulatory Network (GRN) is abstractly defined as a directed graph, where the nodes represent genes and the edges represent the causal regulatory interactions between genes. It can be used to construct mathematical models describing the time-
Fernando Antoneli, Martin Golubitsky, Jiaxin Jin, Ian Stewart   +3 more
openaire   +2 more sources