Results 51 to 60 of about 13,098 (176)

Literature-based discovery of diabetes- and ROS-related targets [PDF]

open access: yes, 2010
Background Reactive oxygen species (ROS) are known mediators of cellular damage in multiple diseases including diabetic complications. Despite its importance, no comprehensive database is currently available for the genes associated with ROS.
A Erol   +54 more
core   +5 more sources

A standardized nomenclature for mammalian histone genes

open access: yesEpigenetics & Chromatin, 2022
Histones have a long history of research in a wide range of species, leaving a legacy of complex nomenclature in the literature. Community-led discussions at the EMBO Workshop on Histone Variants in 2011 resulted in agreement amongst experts on a revised
Ruth L. Seal   +9 more
doaj   +1 more source

Analysis of proteins in computational models of synaptic plasticity [PDF]

open access: yes, 2018
The desire to explain how synaptic plasticity arises from interactions between ions, proteins and other signalling molecules has propelled the development of biophysical models of molecular pathways in hippocampal, striatal and cerebellar synapses.
Armstrong, J Douglas   +6 more
core   +1 more source

Assessing the readiness of precision medicine interoperabilty: An exploratory study of the National Institutes of Health genetic testing registry

open access: yesJournal of Innovation in Health Informatics, 2017
Background:  Precision medicine involves three major innovations currently taking place in healthcare:  electronic health records, genomics, and big data.
Jay G Ronquillo   +2 more
doaj   +1 more source

HGNC nomenclature for fusion genes [PDF]

open access: yesLeukemia, 2021
Robert Peter Gale   +3 more
openaire   +2 more sources

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

open access: yesAdvanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi   +5 more
wiley   +1 more source

Generation of an iPSC line from a patient with GTP cyclohydrolase 1 (GCH1) deficiency: HDMC0061i-GCH1

open access: yesStem Cell Research, 2017
Fibroblasts from a female patient carrying a heterozygous variation in GTP cyclohydrolase 1 (GCH1; OMIM: 600225; HGNC: 4193; c.235_240del/p.(L79_S80del)), the rate-limiting enzyme of tetrahydrobiopterin (BH4) synthesis, were reprogrammed to iPSCs using ...
Sabine Jung-Klawitter   +4 more
doaj   +1 more source

Case report: Identification of a frameshift mutation in GC enrichment and the GCC repeat region of the androgen insensitivity receptor (AR) gene in a patient with complete androgen insensitivity syndrome by whole-exome sequencing (WES) combined with specific PCR and deep sequencing

open access: yesFrontiers in Genetics, 2022
Background: Androgen insensitivity syndrome (AIS) is an X-linked recessive hereditary disease caused due to a reduced or absent function of the androgen receptor (AR) protein encoded by the AR gene (OMIM-Gene# 313,700).
Xiaojing He   +9 more
doaj   +1 more source

The PITA System: Tabling and Answer Subsumption for Reasoning under Uncertainty [PDF]

open access: yes, 2011
Many real world domains require the representation of a measure of uncertainty. The most common such representation is probability, and the combination of probability with logic programs has given rise to the field of Probabilistic Logic Programming (PLP)
Bauters   +11 more
core   +1 more source

A Subset of Pro‐inflammatory CXCL10+ LILRB2+ Macrophages Derives From Recipient Monocytes and Drives Renal Allograft Rejection

open access: yesAdvanced Science, EarlyView.
This study uncovers a recipient‐derived monocyte‐to‐macrophage trajectory that drives inflammation during kidney transplant rejection. Using over 150 000 single‐cell profiles and more than 850 biopsies, the authors identify CXCL10+ macrophages as key predictors of graft loss.
Alexis Varin   +16 more
wiley   +1 more source

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