Results 91 to 100 of about 8,545,689 (298)

The Shewanella oneidensis Fic enzyme SoFic targets the switch‐I region of EF‐Tu for AMPylation

FEBS Letters, EarlyView.
Fic enzymes mediate diverse post‐translational modifications across all domains of life, including AMPylation. Prokaryotic EF‐Tu can be AMPylated and deAMPylated by the conserved Fic enzyme SoFic. Structural and biochemical approaches were used to characterize the effect of AMPylation on EF‐Tu, SoFic's enzymatic activities, and the enzyme‐target ...
Svenja Runge, Vivian Pogenberg, Alexander Baumgart, Bente Siebels, Hartmut Schlüter, Michael Hecht‐Bucher, Aymelt Itzen   +6 more
wiley   +1 more source

Automated Identification of Core Regulatory Genes in Human Gene Regulatory Networks

PLOS Computational Biology, 2015
Human gene regulatory networks (GRN) can be difficult to interpret due to a tangle of edges interconnecting thousands of genes. We constructed a general human GRN from extensive transcription factor and microRNA target data obtained from public databases.
Vipin Narang, Muhamad Azfar Ramli, Amit Singhal 0003, Pavanish Kumar, Gennaro de Libero, Michael Poidinger, Christopher P. Monterola   +6 more
openaire   +5 more sources

RNA‐related functions of BRCA2 in transcription, replication, and genome stability

FEBS Letters, EarlyView.
Beyond its role in homologous recombination, BRCA2 regulates R‐loop homeostasis, DNA–RNA hybrid resolution, RNA polymerase II dynamics, and transcriptional activation. Disruption of any of these functions can contribute to genome instability, inflammatory signaling, and tumorigenesis. BRCA2 is a central tumor suppressor protein best known for its roles
Lucia Alvaro‐Aranda, Sreerama Chaitanya Sridhara, Aura Carreira   +2 more
wiley   +1 more source

Modeling Dynamic Gene Expression in Streptomyces Coelicolor: Comparing Single and Multi-Objective Setups

, 2020
"This book is a step-by-step guideline for research in gene regulatory networks (GRN) using evolutionary computation (EC)"-- This book serves as a handbook for gene regulatory network research using evolutionary algorithms, with ..
Laing, E, Smith, CP, Thomas, SA, jin, Y   +3 more
core  

Statistical reconstruction of transcription factor activity using Michaelis-Menten kinetics [PDF]

, 2007
Summary. The basic building block of a gene regulatory network consists of a gene encoding a transcription factor (TF) and the gene(s) it regulates. Considerable efforts have been directed recently at devising experiments and algorithms to determine TFs
Smith, C.P., Vinciotti, V., Smith, C P, Khanin, Raya, Mersinias, V., Wit, Ernst, Vinciotti, V, Mersinias, V, Smith, CP, Khanin, R, Wit, E, Khanin, R.   +11 more
core   +1 more source

Gene regulatory network in lung

, 2022
Gene regulatory network in lung generated from CoDeS3D. Referenced in Supplementary Table 11. 
Rachel Jaros (12671350)
core   +1 more source

Differential System Approach to Gene Regulatory Network Modeling

AppliedMath
The system of ordinary differential equations that arises in models of genetic networks is considered. This system has both nonlinear and linear parts. As a nonlinear part, we use a piecewise linear function. This allows us to treat systems with multiple
Olga Kozlovska, Felix Sadyrbaev
doaj   +1 more source

D3GRN: a data driven dynamic network construction method to infer gene regulatory networks

BMC Genomics, 2019
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, Min Li, Ruiqing Zheng, Fang-Xiang Wu, Jianxin Wang   +4 more
doaj   +1 more source

A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma

FEBS Letters, EarlyView.
Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos, Antonia Petropoulou, Alexandra Anastogianni, Angelina Bania, Vassilis Stamatakis, Argyris Alexiou, Chi‐Ping Day, Glenn Merlino, Katerina Grafanaki, Constantinos Stathopoulos   +9 more
wiley   +1 more source

Metastatic niche shaped by host factors influences disseminated cancer cell fate

FEBS Letters, EarlyView.
Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward, Álvaro Ruiz‐Tabas, Patricia Altea‐Manzano   +2 more
wiley   +1 more source