Wigwams : identifying gene modules co-regulated across multiple biological conditions [PDF]
Motivation: Identification of modules of co-regulated genes is a crucial first step towards dissecting the regulatory circuitry underlying biological processes. Co-regulated genes are likely to reveal themselves by showing tight co-expression, e.g.
Rhodes, Johanna +16 more
core +1 more source
Stable Gene Regulatory Network Modeling From Steady-State Data
Gene regulatory networks represent an abstract mapping of gene regulations in living cells. They aim to capture dependencies among molecular entities such as transcription factors, proteins and metabolites.
Joy Edward Larvie +5 more
doaj +1 more source
The inferred cardiogenic gene regulatory network in the mammalian heart. [PDF]
Cardiac development is a complex, multiscale process encompassing cell fate adoption, differentiation and morphogenesis. To elucidate pathways underlying this process, a recently developed algorithm to reverse engineer gene regulatory networks was ...
Jason N Bazil +6 more
doaj +1 more source
Phosphoinositides and inositol phosphates as molecular glues
Inositol phosphates (IPs) and phosphoinositides (PIPs) regulate diverse eukaryotic processes. Beyond recruiting signaling proteins or acting as structural cofactors, recent studies suggest they mediate protein–protein interactions as natural molecular glues.
Aleshia Seaton‐Terry +9 more
wiley +1 more source
Improvements in the reconstruction of time-varying gene regulatory networks: dynamic programming and regularization by information sharing among genes [PDF]
<b>Method:</b> Dynamic Bayesian networks (DBNs) have been applied widely to reconstruct the structure of regulatory processes from time series data, and they have established themselves as a standard modelling tool in computational systems ...
Husmeier, D. +5 more
core +1 more source
D3GRN: a data driven dynamic network construction method to infer gene regulatory networks
Background To infer gene regulatory networks (GRNs) from gene-expression data is still a fundamental and challenging problem in systems biology. Several existing algorithms formulate GRNs inference as a regression problem and obtain the network with an ...
Xiang Chen +4 more
doaj +1 more source
Quantitative analysis of the ThrbCRM1-centered gene regulatory network
Enhancer activity is determined by both the activity and occupancy of transcription factors as well as the specific sequences they bind. Experimental investigation of this dynamic requires the ability to manipulate components of the system, ideally in as
Benjamin Souferi, Mark M. Emerson
doaj +1 more source
The impact of gene expression variation on the robustness and evolvability of a developmental gene regulatory network. [PDF]
Regulatory interactions buffer development against genetic and environmental perturbations, but adaptation requires phenotypes to change. We investigated the relationship between robustness and evolvability within the gene regulatory network underlying ...
David A Garfield +5 more
doaj +1 more source
Drosophila park mutants serve as a model for Parkinson's disease. We used this strain to investigate the connection between oxidative stress and the circadian clock mechanism. We showed that increased oxidative stress affects the physiology of pacemaker cells, disrupting their daily structural plasticity. Lack of rhythmic signaling from pacemaker cells
Kamila Zientara +3 more
wiley +1 more source
Estimating gene regulatory networks with pandaR [PDF]
Abstract PANDA (Passing Attributes between Networks for Data Assimilation) is a gene regulatory network inference method that begins with a model of transcription factor–target gene interactions and uses message passing to update the network model given available transcriptomic and protein–protein interaction data.
Daniel Schlauch +4 more
openaire +4 more sources

