Results 141 to 150 of about 1,062,909 (310)
α‐Synuclein aggregation landscape from phase separation to neurotoxic intermediates
FEBS Letters, EarlyView.Alpha‐synuclein aggregation in Parkinson's disease involves a complex landscape of transient intermediates, including oligomers, fibrils and liquid–liquid phase separation (LLPS). A view is emerging in which LLPS maturation into solid‐like condensates may contribute to the formation of neurotoxic species.
Silvia Arino +2 more
wiley +1 more source
A theoretical molecular network for dyslexia: integrating available genetic findings [PDF]
, 2011 Contains fulltext : 95606.pdf (Publisher’s version ) (Open Access)Developmental dyslexia is a common specific childhood learning disorder with a strong heritable component.
Poelmans, G.J.V. +3 more
core +1 more source
Frontiers in Public HealthTo comprehensively investigate the molecular transmission patterns of HIV-1 genotypes among men who have sex with men (MSM) in Chongqing, we employed 392 pol sequences of MSM to construct a phylogenetic tree and gene transmission network. Among the viral
Chongyang Bai +7 more
doaj +1 more source
FEBS Letters, EarlyView.Inositol pyrophosphates are energy‐rich signaling molecules that perform critical functions in cells. Three different families of phosphatases hydrolyze the β phosphate of the inositol pyrophosphate molecules: two have narrow specificities and one is promiscuous.
Ronda J. Rolfes
wiley +1 more source
Molecular network generated by the Ingenuity software from the highest expressed genes of the non-pigmented epithelium (NPE). [PDF]
, 2012 Molecular network generated from our microarray Highest expressed NPE sub-dataset. Grey symbols represent genes that are highly expressed in the NPE of the ciliary body.
Sarah F. Janssen (135785) +8 more
core +1 more source
Modelling stem cell differentiation related processes—A practical overview for biologists
FEBS Letters, EarlyView.Stem cell differentiation is complex and difficult to control experimentally. This review introduces suitable computational modelling approaches that can support stem cell research, from mechanistic ODE and abstract models to multiscale and deep learning methods.
Ricco Zeegelaar +4 more
wiley +1 more source
MINERVA API and plugins: opening molecular network analysis and visualization to the community. [PDF]
, 2019 peer reviewedSUMMARY: The complexity of molecular networks makes them difficult to navigate and interpret, creating a need for specialized software. MINERVA is a web platform for visualization, exploration and management of molecular networks.
Reinhard Schneider +9 more
core +1 more source
Design and analysis strategies for robust microbiome ageing research
FEBS Letters, EarlyView.The gut microbiome changes with age and associates with age‐related morbidity and mortality, establishing it as a potential biomarker and intervention target for ageing. Realising this potential requires methodological rigour, yet distinguishing biological signals from methodological artefacts remains challenging across cohorts. This review provides an
Mark Olenik +5 more
wiley +1 more source
Molecular network analysis of human microRNA targetome: from cancers to Alzheimer’s disease [PDF]
, 2012 MicroRNAs (miRNAs), a class of endogenous small noncoding RNAs, mediate posttranscriptional regulation of protein-coding genes by binding chiefly to the 3’ untranslated region of target mRNAs, leading to translational inhibition, mRNA destabilization or ...
Jun-ichi Satoh, Satoh Jun-ichi
core +1 more source
Impact of Noise on Molecular Network Inference
PLoS ONE, 2013 Molecular entities work in concert as a system and mediate phenotypic outcomes and disease states. There has been recent interest in modelling the associations between molecular entities from their observed expression profiles as networks using a battery of algorithms.
Nagarajan, R, Scutari, M
openaire +5 more sources