Results 161 to 170 of about 55,460 (328)
Epigenomic Modifications Predict Active Promoters and Gene Structure in Toxoplasma gondii
Mathieu Gissot +4 more
openalex +2 more sources
The X as Model for RNA's Niche in Epigenomic Regulation [PDF]
J. T. Lee
openalex +1 more source
New trend in molecular diagnostics: Insights from the tumor microenvironment
The graphical abstract outline the key elements in TME‐based molecular diagnostics, including biomarker exploration, diagnostic methods, and diagnostic models. Source: Created with BioRender.com. Abstract Molecular diagnosis has revolutionized cancer precision medicine.
Baiyuan Fan +3 more
wiley +1 more source
PB1808: EPIGENETIC INHIBITOR SCREEN TO IDENTIFY THERAPEUTIC CANDIDATES FOR MNX1-OVEREXPRESSING AML
Simge Kelekci +13 more
doaj +1 more source
Systemic lupus erythematosus (SLE) is an autoimmune disorder that commonly affects the skin, kidneys, joints, and various other systemic tissues, with its development intricately linked to the process of immunosenescence.
Feng Xiong +10 more
doaj +1 more source
Pash 3.0: A versatile software package for read mapping and integrative analysis of genomic and epigenomic variation using massively parallel DNA sequencing [PDF]
Cristian Coarfa +5 more
openalex +1 more source
Bifenthrin Under Scrutiny: Revisiting Toxicological Evidence Amid Regulatory Gaps
ABSTRACT Despite growing health concerns, bifenthrin (BF) remains widely used for controlling agricultural and residential pests. However, different perspectives on its toxicological profile and regulatory framework warrant a revisit and update on BF regulation towards a robust risk‐safety assessment.
Caroline V. L. Moreira +10 more
wiley +1 more source
DNA methyltransferase 3A (DNMT3A) and its catalytically inactive cofactor DNA methyltransferase 3-Like (DNMT3L) proteins form functional heterotetramers to deposit DNA methylation in mammalian germ cells.
Naoki Kubo +5 more
doaj +1 more source
Experimental approaches to the study of epigenomic dysregulation in ageing [PDF]
Reid F. Thompson +2 more
openalex +1 more source
This graphical abstract illustrates the cloud‐based GWAS platform as a hub that integrates six major multiomics domains: phenomics, neuroscience, proteomics, microbiomics, metabolomics, and nutrigenomics. The platform unifies diverse data types—including clinical phenotypes, neuroimaging, plasma proteomics, microbiome profiles, metabolic biomarkers ...
Xiaohong Ke +12 more
wiley +1 more source

