Results 141 to 150 of about 474,387 (314)

Inference of a probabilistic Boolean network from a single observed temporal sequence

, 2007
The inference of gene regulatory networks is a key issue for genomic signal processing. This paper addresses the inference of probabilistic Boolean networks (PBNs) from observed temporal sequences of network states.
Edward R. Dougherty, Xiao, Y., Yufei Xiao, Yu, L., Stephen Marshall, Dougherty, E., Marshall, S., Le Yu   +7 more
core   +1 more source

Differential expression of cancer‐related genes supports prediction of poor response to first‐line treatments in T‐ALL pediatric patients with high minimal residual disease

Molecular Oncology, EarlyView.
In the present work, we have identified a transcriptional signature based on the differential expression of six genes (BCL2&MAST4, HSH2D&LAT2, METRN&PITPNM2) that would facilitate the early detection of T‐cell acute lymphoblastic leukemia (T‐ALL) patients prone to a poor treatment response and could be implemented at diagnosis, along with other risk ...
Antonio Lahera, Laura Vela‐Martín, Pablo Fernández‐Navarro, José Luis López‐Lorenzo, Javier Cornago, Pilar Llamas, Eduardo Pérez‐Gómez, José Luis Marín‐Rubio, Manuel Fresno, Javier Santos, José Fernández‐Piqueras, María Villa‐Morales   +11 more
wiley   +1 more source

Artificial Neural Network Inference (ANNI): A Study on Gene-Gene Interaction for Biomarkers in Childhood Sarcomas

, 2014
Objective: To model the potential interaction between previously identified biomarkers in children sarcomas using artificial neural network inference (ANNI).
David J Boocock, Ball, GR, Christophe Lemetre, Dhondalay, GKR, Dong Ling Tong, Dhondalay, Gopal Krishna R, Boocock, David J, Lemetre, C, Gopal Krishna R Dhondalay, Lemetre, Christophe, Ball, Graham R, Boocock, DJ, Graham R Ball, Tong, DL, Tong, Dong Ling   +14 more
core   +1 more source

CCDC80 suppresses high‐grade serous ovarian cancer migration via negative regulation of B7‐H3

Molecular Oncology, EarlyView.
PAX8 is a lineage‐specific master regulator of transcription in high‐grade serous ovarian cancer (HGSC) progression. We show for the first time that PAX8 facilitates proliferation and metastasis by repressing the cell autonomous tumor suppressor CCDC80 and inducing B7‐H3 expression.
Aya Saleh, Nitzan Medina‐Itzhaki, Milena Chekov, Eden Gal‐Swisa, Roba Gabesh‐Wahabi, Inbar Savyon, Inna Naroditsky, Hilary A. Kenny, Basem Fares, Lina Korsensky, Einav Girsh, Liron Berger, Ruth Perets   +12 more
wiley   +1 more source

A gene regulatory network for cell differentiation in Caenorhabditis elegans

, 2003
Biological development is a remarkably complex process. A single cell, in an appropriate environment, contains enough information to produce a wide variety of specialised cell types, whose spatial and temporal dynamics interact to form intricately ...
Geard, N L, Wiles, J
core  

E2A selectively regulates TGF‐β–induced apoptosis in KRAS‐mutant non‐small cell lung cancer

Molecular Oncology, EarlyView.
Ability to induce apoptosis by TGF‐β is frequently lost in advanced lung adenocarcinoma despite intact TGF‐β signaling. We identify E2A as a mutant KRAS–dependent mediator of resistance to TGF‐β–induced apoptosis. TGF‐β induces E2A via SMAD3 in mutant KRAS cells, and E2A silencing restores apoptosis and enhances radiation response in cell lines ...
Sergei Chuikov, Shiva Krishna Katkam, Zhefan Wang, Venkateshwar G. Keshamouni   +3 more
wiley   +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

Gene Regulatory Network Modeling with Multiple Linear Regressions [PDF]

, 2010
[[abstract]]Gene regulatory network modeling is a difficult inverse problem. Given limited amount of experimental data about gene expressions, a dynamic model is sought to fit the data to infer interesting biological processes.
Shing-Hwang Doong
core  

Robust H∞ feedback control for uncertain stochastic delayed genetic regulatory networks with additive and multiplicative noise

, 2010
The official published version can found at the link below.Noises are ubiquitous in genetic regulatory networks (GRNs). Gene regulation is inherently a stochastic process because of intrinsic and extrinsic noises that cause kinetic parameter variations ...
Min Du, Wang, Z, PAN, Wei, Du, M., Li, Y., Yurong Li, Pan, W, Gao, H, Zidong Wang, Li, Y, Wei Pan, Du, M, Wang, Z., Gao, H., Huijun Gao   +14 more
core   +1 more source

CD47 promotes mitogen‐activated protein kinase and epithelial‐to‐mesenchymal transition molecular programs to drive prometastatic phenotypes in non‐small cell lung cancer

Molecular Oncology, EarlyView.
Beyond its role in immune evasion, this study identified that CD47 drives tumor‐intrinsic signaling in non‐small cell lung cancer (NSCLC). Transcriptomic profiling and functional studies revealed that CD47 regulates cell adhesion, migration, and metastasis through an ERK–EMT signaling axis.
Asa P.Y. Lau, Lilian G. Zhai, Ryunosuke Hoshi, Zackary Rousseau, Abraam Zakhary, Yin Fang Wu, Rola M. Saleeb, Heyu Ni, Kelsie L. Thu   +8 more
wiley   +1 more source