Results 91 to 100 of about 236,648 (327)
An in silico MS/MS library for automatic annotation of novel FAHFA lipids. [PDF]
, 2015 BackgroundA new lipid class named 'fatty acid esters of hydroxyl fatty acids' (FAHFA) was recently discovered in mammalian adipose tissue and in blood plasma and some FAHFAs were found to be associated with type 2 diabetes.
Fahrmann, Johannes F +5 more
core +2 more sources
Preclinical Models: Boosting Synergies for Improved Translation [PDF]
, 2020 The field of preclinical models is a very vast arena, in which finding connections among groups acting in apparently very distant research areas can sometimes prove challenging [...
Attanasio C., Sangiovanni M.
core +1 more source
Molecular Oncology, EarlyView.The noncoding region of the genome plays a key role in regulating gene expression, and mutations within these regions are capable of altering it. Researchers have identified multiple functional noncoding mutations associated with increased cancer risk in the genome of breast cancer patients.
Arnau Cuy Saqués +3 more
wiley +1 more source
Functional complexity of the Leishmania granuloma and the potential of in silico modelling
Frontiers in Immunology, 2013 In human and canine visceral leishmaniasis and in various experimental models of this disease, host resistance is strongly linked to efficient granuloma development.
John eMoore +7 more
doaj +1 more source
Dravet Variant SCN1AA1783V Impairs Interneuron Firing Predominantly by Altered Channel Activation
Frontiers in Cellular Neuroscience, 2021 Dravet syndrome (DS) is a developmental epileptic encephalopathy mainly caused by functional NaV1.1 haploinsufficiency in inhibitory interneurons. Recently, a new conditional mouse model expressing the recurrent human p.(Ala1783Val) missense variant has ...
Nikolas Layer +10 more
doaj +1 more source
Software Tools and Approaches for Compound Identification of LC-MS/MS Data in Metabolomics. [PDF]
, 2018 The annotation of small molecules remains a major challenge in untargeted mass spectrometry-based metabolomics. We here critically discuss structured elucidation approaches and software that are designed to help during the annotation of unknown compounds.
Blaženović, Ivana +3 more
core +3 more sources
Molecular Oncology, EarlyView.We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
Journal of Orthopaedic TranslationEstablish alternative strategies to standard animal experiments decrease animal utilization and simultaneously enhance the reliability of biological and disease models.
Qi Gao +7 more
doaj +1 more source
Coronary artery properties in atherosclerosis: A deep learning predictive model
Frontiers in Physiology, 2023 In this work an Artificial Neural Network (ANN) was developed to help in the diagnosis of plaque vulnerability by predicting the Young modulus of the core (Ecore) and the plaque (Eplaque) of atherosclerotic coronary arteries.
Ricardo Caballero +4 more
doaj +1 more source
Developments in the tools and methodologies of synthetic biology. [PDF]
, 2014 Synthetic biology is principally concerned with the rational design and engineering of biologically based parts, devices, or systems. However, biological systems are generally complex and unpredictable, and are therefore, intrinsically difficult to ...
Freemont, P +3 more
core +1 more source