Results 91 to 100 of about 789,865 (294)

Planning for Gene Regulatory Network Intervention [PDF]

open access: yes2006 IEEE/NLM Life Science Systems and Applications Workshop, 2006
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

Stable Gene Regulatory Network Modeling From Steady-State Data

open access: yesBioengineering, 2016
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

Epigenetic blind spots – the role of DNA methylation dynamics in stem cell‐based models of embryogenesis

open access: yesFEBS Letters, EarlyView.
Embryo‐like structures (stembryos) are an innovative tool, but they are hindered by experimental variability and limited developmental potential. DNA methylation is crucial for mammalian development, but its status in stembryo models is poorly characterized.
Sara Canil   +4 more
wiley   +1 more source

Reconstruct gene regulatory network using slice pattern model

open access: yesBMC Genomics, 2009
Background Gene expression time series array data has become a useful resource for investigating gene functions and the interactions between genes.
Yang Bo   +6 more
doaj   +1 more source

Quantitative analysis of the ThrbCRM1-centered gene regulatory network

open access: yesBiology Open, 2019
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]

open access: yesPLoS Biology, 2013
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

Transcriptional network analysis of PTEN‐protein‐deficient prostate tumors reveals robust stromal reprogramming and signs of senescent paracrine communication

open access: yesMolecular Oncology, EarlyView.
Combining PTEN protein assessment and transcriptomic profiling of prostate tumors, we uncovered a network enriched in senescence and extracellular matrix (ECM) programs associated with PTEN loss and conserved in a mouse model. We show that PTEN‐deficient cells trigger paracrine remodeling of the surrounding stroma and this information could help ...
Ivana Rondon‐Lorefice   +16 more
wiley   +1 more source

Potential therapeutic targeting of BKCa channels in glioblastoma treatment

open access: yesMolecular Oncology, EarlyView.
This review summarizes current insights into the role of BKCa and mitoBKCa channels in glioblastoma biology, their potential classification as oncochannels, and the emerging pharmacological strategies targeting these channels, emphasizing the translational challenges in developing BKCa‐directed therapies for glioblastoma treatment.
Kamila Maliszewska‐Olejniczak   +4 more
wiley   +1 more source

Estimating gene regulatory networks with pandaR [PDF]

open access: yesBioinformatics, 2017
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   +3 more sources

Failed "nonaccelerating" models of prokaryote gene regulatory networks

open access: yes, 2004
Much current network analysis is predicated on the assumption that important biological networks will either possess scale free or exponential statistics which are independent of network size allowing unconstrained network growth over time. In this paper,
Gagen, M. J., Mattick, J. S.
core  

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