Cargando…

Detecting cellular reprogramming determinants by differential stability analysis of gene regulatory networks

BACKGROUND: Cellular differentiation and reprogramming are processes that are carefully orchestrated by the activation and repression of specific sets of genes. An increasing amount of experimental results show that despite the large number of genes participating in transcriptional programs of cellu...

Descripción completa

Detalles Bibliográficos
Autores principales:	Crespo, Isaac, Perumal, Thanneer M, Jurkowski, Wiktor, del Sol, Antonio
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	BioMed Central 2013
Materias:	Methodology Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3878265/ https://www.ncbi.nlm.nih.gov/pubmed/24350678 http://dx.doi.org/10.1186/1752-0509-7-140

Ejemplares similares

Gene regulatory network analysis supports inflammation as a key neurodegeneration process in prion disease
por: Crespo, Isaac, et al.
Publicado: (2012)

Boolean regulatory network reconstruction using literature based knowledge with a genetic algorithm optimization method
por: Dorier, Julien, et al.
Publicado: (2016)

Integrating Pathways of Parkinson's Disease in a Molecular Interaction Map
por: Fujita, Kazuhiro A., et al.
Publicado: (2013)

Predicting missing expression values in gene regulatory networks using a discrete logic modeling optimization guided by network stable states
por: Crespo, Isaac, et al.
Publicado: (2013)

A Gene Regulatory Network for Cellular Reprogramming in Plant Regeneration
por: Ikeuchi, Momoko, et al.
Publicado: (2018)

The epigenetic Oct4 gene regulatory network: stochastic analysis of different cellular reprogramming approaches
por: Bruno, Simone, et al.
Publicado: (2023)

PPARγ population shift produces disease-related changes in molecular networks associated with metabolic syndrome
por: Jurkowski, W, et al.
Publicado: (2011)

Bayesian differential analysis of gene regulatory networks exploiting genetic perturbations
por: Li, Yan, et al.
Publicado: (2020)

TRIM32 modulates pluripotency entry and exit by directly regulating Oct4 stability
por: Bahnassawy, Lamia’a, et al.
Publicado: (2015)

A novel systems biology approach to evaluate mouse models of late-onset Alzheimer’s disease
por: Preuss, Christoph, et al.
Publicado: (2020)

ProTstab – predictor for cellular protein stability
por: Yang, Yang, et al.
Publicado: (2019)

Identifying biomarkers for breast cancer by gene regulatory network rewiring
por: Wang, Yijuan, et al.
Publicado: (2022)

Identifying time-delayed gene regulatory networks via an evolvable hierarchical recurrent neural network
por: Kordmahalleh, Mina Moradi, et al.
Publicado: (2017)

An RNA editing fingerprint of cancer stem cell reprogramming
por: Crews, Leslie A, et al.
Publicado: (2015)

A grid-shaped cellular modeling approach for wireless sensor networks
por: Al-Zoubi, Khaldoon, et al.
Publicado: (2022)

Inferring dynamic gene regulatory networks in cardiac differentiation through the integration of multi-dimensional data
por: Gong, Wuming, et al.
Publicado: (2015)

Model checking optimal finite-horizon control for probabilistic gene regulatory networks
por: Wei, Ou, et al.
Publicado: (2017)

Identification of regulatory modules in genome scale transcription regulatory networks
por: Song, Qi, et al.
Publicado: (2017)

Epigenetic Control of Reprogramming and Cellular Differentiation
por: Latella, Lucia, et al.
Publicado: (2012)

MALBoost: a web-based application for gene regulatory network analysis in Plasmodium falciparum
por: van Wyk, Roelof, et al.
Publicado: (2021)

Metrics to estimate differential co-expression networks
por: Gonzalez-Valbuena, Elpidio-Emmanuel, et al.
Publicado: (2017)

DNLC: differential network local consistency analysis
por: Lu, Jianwei, et al.
Publicado: (2019)

PATTERNFINDER: combined analysis of DNA regulatory sequences and double-helix stability
por: Huang, Yanlin, et al.
Publicado: (2004)

Unravelling personalized dysfunctional gene network of complex diseases based on differential network model
por: Yu, Xiangtian, et al.
Publicado: (2015)

Protocol: a method to study the direct reprogramming of lateral root primordia to fertile shoots
por: Kareem, Abdul, et al.
Publicado: (2016)

An Initial Investigation of an Alternative Model to Study rat Primordial Germ Cell Epigenetic Reprogramming
por: Cantão, Isabelle Hernandez, et al.
Publicado: (2017)

Inferring the role of transcription factors in regulatory networks
por: Veber, Philippe, et al.
Publicado: (2008)

The impact of measurement errors in the identification of regulatory networks
por: Fujita, André, et al.
Publicado: (2009)

Discrete Logic Modelling Optimization to Contextualize Prior Knowledge Networks Using PRUNET
por: Rodriguez, Ana, et al.
Publicado: (2015)

Stochastic Boolean networks: An efficient approach to modeling gene regulatory networks
por: Liang, Jinghang, et al.
Publicado: (2012)

Understanding dynamics using sensitivity analysis: caveat and solution
por: Perumal, Thanneer M, et al.
Publicado: (2011)

Summarizing cellular responses as biological process networks
por: Lasher, Christopher D, et al.
Publicado: (2013)

Direct reprogramming of urine-derived cells with inducible MyoD for modeling human muscle disease
por: Kim, Ellis Y., et al.
Publicado: (2016)

Gene regulatory network analysis reveals differences in site-specific cell fate determination in mammalian brain
por: Ertaylan, Gökhan, et al.
Publicado: (2014)

Inferring the conservative causal core of gene regulatory networks
por: Altay, Gökmen, et al.
Publicado: (2010)

Identifying module biomarkers from gastric cancer by differential correlation network
por: Liu, Xiaoping, et al.
Publicado: (2016)

A Generalized Gene-Regulatory Network Model of Stem Cell Differentiation for Predicting Lineage Specifiers
por: Okawa, Satoshi, et al.
Publicado: (2016)

Single_cell_GRN: gene regulatory network identification based on supervised learning method and Single-cell RNA-seq data
por: Yang, Bin, et al.
Publicado: (2022)

HiCoP, a simple and robust method for detecting interactions of regulatory regions
por: Zhang, Yan, et al.
Publicado: (2020)

Co-designing obesity prevention interventions together with children: intervention mapping meets youth-led participatory action research
por: Anselma, Manou, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_ine0861p8k1fek8r44s1nkc0ai