Modeling regulatory network topology improves genome-wide analyses of complex human traits
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
Planning for Gene Regulatory Network Intervention [PDF]
Modeling the dynamics of cellular processes has recently become a important research area of many disciplines. One of the most important reasons to model a cellular process is to enable high-throughput in-silico experiments that attempt to predict or intervene in the process.
Daniel Bryce, Seungchan Kim
openaire +2 more sources
This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
Constructing tissue-specific transcriptional regulatory networks via a Markov random field
Background Recent advances in sequencing technologies have enabled parallel assays of chromatin accessibility and gene expression for major human cell lines.
Shining Ma, Tao Jiang, Rui Jiang
doaj +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Statistical inference of regulatory networks for circadian regulation [PDF]
The work described in the present article is part of the TiMet project on linking the circadian clock to metabolism in plants. TiMet is a collaborative project (Grant Agreement 245143) funded by the European Commission FP7, in response to call FP7-KBBE ...
Aderhold, Andrej +2 more
core +1 more source
Inference of Gene Regulatory Networks for Overcoming Low Performance in Real-World Data
The identification of gene regulatory networks is important for understanding the mechanisms of various biological phenomena. Many methods have been proposed to infer networks from time-series gene expression data obtained by high-throughput next ...
Yusuke Hiki +3 more
doaj +1 more source
Neuronal and glial 3D chromatin architecture informs the cellular etiology of brain disorders
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 +14 more
doaj +1 more source
Translophagy—A potential link between autophagy impairment and translational errors
Neurodegenerative diseases are characterised by the accumulation of abnormal proteins and protein aggregates, but their origin often remains unknown. We propose that selective autophagy removes damaged protein‐making machinery, preventing errors during protein synthesis.
Mykola V. Korolchuk +11 more
wiley +1 more source
Dynamic links and evolutionary history in simulated gene regulatory networks
In this chapter, we describe the use of evolutionary methods for the in silico generation of artificial gene regulatory networks (GRNs). These usually serve as models for biological networks and can be used for enhancing analysis methods in biology.
Sendhoff, B +3 more
core +1 more source

