Results 71 to 80 of about 5,161,693 (301)
, 2014 Cell (depicted as dashed blue box) contains a pool of enzymes and related enzyme properties. It is possible to infer in silico: i) the intermediate reactions and products if a set of substrates is provided (‘forward network inference’); ii) the starting ...
Gang Liu (81776) +1 more
core +1 more source
Liver organoids: modelling complexity in homeostasis and disease
FEBS Letters, EarlyView.Studying liver in vitro has been challenging because simple 2D cell cultures fail to capture liver's cellular and architectural complexity. To bridge this gap, scientists increasingly use organoids, 3D liver models which better mimic liver composition and function. This review examines recent advances in liver organoid complexity and realism, discusses
Anna M. Dowbaj, Meritxell Huch
wiley +1 more source
FEBS Letters, EarlyView.This review focuses on the role of autophagy and mitophagy in maintaining pancreatic β‐cell function and homeostasis. We discuss how genetic defects affecting these pathways contribute to the development of type 1, type 2, monogenic, and gestational diabetes. We further explore their potential as therapeutic targets. Created in BioRender.
Yunkyeong Lee +2 more
wiley +1 more source
Inference time for each Convolutional Neural Network (CNN) model.
, 2022 Inference time for each Convolutional Neural Network (CNN) model.
Min-Chang Jang (12133336) +8 more
core +1 more source
Ligand‐dependent transcriptional heterogeneity in cell cycle gene expression delays G1/S entry
FEBS Letters, EarlyView.EGF and HRG induce distinct G1/S progression programs in ErbB2‐amplified BT474 breast cancer cells. Despite activating the potent ErbB2–ErbB3 heterodimer, HRG does not accelerate cell‐cycle entry. Instead, EGF promotes earlier restriction‐point passage via ERK–FOS signaling, whereas HRG activates the AKT–MYC axis, driving transcriptional heterogeneity ...
Ririn Rahmala Febri +5 more
wiley +1 more source
Statistical Inference of Diffusion Networks [PDF]
IEEE Transactions on Knowledge and Data Engineering, 2019 To infer structures in diffusion networks, existing approaches mostly need to know not only the final infection statuses of network nodes, but also the exact times when infections occur. In contrast, in many real-world settings, such as disease propagation, monitoring exact infection times is often infeasible due to a high cost.
Hao Huang 0001 +4 more
openaire +1 more source
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 +2 more
wiley +1 more source
Network inference using informative priors
, 2008 Recent years have seen much interest in the study of systems characterized by multiple interacting components. A class of statistical models called graphical models, in which graphs are used to represent probabilistic relationships between variables ...
Speed, T. P., Mukherjee, Sach
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Causal Network Inference by Optimal Causation Entropy [PDF]
, 2015 The broad abundance of time series data, which is in sharp contrast to limited knowledge of the underlying network dynamic processes that produce such observations, calls for a rigorous and efficient method of causal network inference.
Taylor, Dane, Sun, Jie, Bollt, Erik M.
core +1 more source
Frontiers in Genetics, 2019 Lead poisoning effects are wide and include nervous system impairment, peculiarly during development, leading to neural damage. Lead interaction with calcium and zinc-containing metalloproteins broadly affects cellular metabolism since these proteins are
Clovis F. Reis +7 more
doaj +1 more source