Latest AI and machine learning research in genetics for healthcare professionals.
Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by joint inflammation and destruction. Identifying novel therapeutic targets is crucial for improving RA treatment. This study aimed to identify immune-related biomarkers in RA and investigate the potential of CD27 as a therapeutic target. We employed bioinformatics analysis of gene expression data from RA patients and healthy...
BACKGROUND: Growth performance and carcass traits are economically vital in poultry breeding. In Wenchang chickens, reducing excessive abdominal fat represents a critical breeding objective. However, as a typical carcass trait, abdominal fat thickness has traditionally been measurable only post-slaughter, resulting in inefficient and costly selection processes that hinder genetic progress for thes...
OBJECTIVE: To develop a blood-based algorithm using cell-free DNA (cfDNA) methylation profiles to diagnose and stratify patients with COPD according t...
N6,2'-O-dimethyladenosine (m6Am) is a critical RNA modification that plays a pivotal role in regulating RNA stability, translation efficiency, and gen...
BACKGROUND: Accumulating evidence indicates that gut microbiome is significantly altered in major depressive disorder (MDD). However, most studies hav...
Lynch syndrome (LS) is the most common hereditary colorectal cancer (CRC) syndrome and is characterized by an accelerated adenoma-carcinoma sequence, ...
BACKGROUND: Familial Hemiplegic migraine (FHM) is a rare migraine subtype characterised by transient unilateral motor weakness. Although familial form...
Higher-order genetic interactions have profound implications for understanding the molecular mechanisms of phenotypic variation, yet they remain poorl...
BACKGROUND: Studies suggest that immune abnormalities play a significant role in the pathophysiology of interstitial cystitis/bladder pain syndrome (I...
CRISPR/Cas9 technologies are now routinely used in plant research, with guide RNA (gRNA) design being a critical determinant of genome editing success...
The ability of proteins and nucleic acids to form specific binding sites for ligands is critical for biological function, and methods to modulate bioc...
There is considerable interest in training machine learning (ML) models on genomic data that achieve clinical grade diagnostic accuracy. Many successf...
Cardiac amyloidosis (CA), a fatal and progressive cardiomyopathy is characterized by amyloid deposition within the myocardium. The main forms of CA in...
Targeting programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) with immune checkpoint inhibitors (ICIs) has...
Listeria monocytogenes is a major foodborne pathogen responsible for listeriosis. Ice cream has emerged as an important vehicle for L. monocytogenes t...
Copy number variations (CNVs) are genomic alterations that can cause rare genetic diseases. Their interpretation requires consulting multiple database...
Most new genomes lack annotation, automated methods are error-prone, and few genomes are ever manually curated due to time and cost. Protein structure...
Deep mutational scanning (DMS) has been extensively used to investigate how single-position mutations in the receptor-binding domain (RBD) affect bind...
BACKGROUND: Emerging evidence links cellular ageing and biophysical alterations with cancer susceptibility. Existing breast cancer risk models inadequ...