Hybridization and their application in the DNA array technology. DNA hybridization arrays measure simultaneously the expression of several genes. First, a known DNA sequence (probe) is fixed on a firm basis. Then the complementer sequence (target sequence) is linked to it during the hybridization process. The target sequence extracted from biological samples is fluorescently, enzimatically or radioactively labeled before detection. Higher expression results in higher signal in the detection system. Unlabeled DNA strands can also be detected, as the electronic and optical characteristics of the DNA is altered after complementer hybridization. In this review we summarize the basics of hybridisation and its newest application area in the DNA array systems.
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Epigenetics
December 2025
Survey Research Center, Institute for Social Research, University of Michigan, Ann Arbor, MI, USA.
Perceived discrimination, recognized as a chronic psychosocial stressor, has adverse consequences on health. DNA methylation (DNAm) may be a potential mechanism by which stressors get embedded into the human body at the molecular level and subsequently affect health outcomes. However, relatively little is known about the effects of perceived discrimination on DNAm.
View Article and Find Full Text PDFJ Coll Physicians Surg Pak
January 2025
Department of Radiotherapy, Binhai County People's Hospital, Yancheng, Jiangsu, China.
Objective: To investigate the causal influence of gut microbiota on small cell lung cancer (SCLC) progression using Mendelian randomisation (MR), providing insights into the gut-lung axis in lung cancer pathology.
Study Design: Analytical study. Place and Duration of the Study: Department of Radiotherapy, Binhai County People's Hospital, Yancheng, Jiangsu, China, and Department of Paediatrics, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, China, from January to May 2024.
Hum Genomics
January 2025
Department of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Richards Building B304, 3700 Hamilton Walk, Philadelphia, PA, 19104, USA.
Background: Disease comorbidities and longer-term complications, arising from biologically related associations across phenotypes, can lead to increased risk of severe health outcomes. Given that many diseases exhibit sex-specific differences in their genetics, our objective was to determine whether genotype-by-sex (GxS) interactions similarly influence cross-phenotype associations. Through comparison of sex-stratified disease-disease networks (DDNs)-where nodes represent diseases and edges represent their relationships-we investigate sex differences in patterns of polygenicity and pleiotropy between diseases.
View Article and Find Full Text PDFBreast Cancer Res
January 2025
Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, 246 Clayton Road, Clayton, VIC, 3168, Australia.
Background: Tumour DNA methylation has been investigated as a potential marker for breast cancer survival, but findings often lack replication across studies.
Methods: This study sought to replicate previously reported associations for individual CpG sites and multi-CpG signatures using an Australian sample of 425 women with breast cancer from the Melbourne Collaborative Cohort Study (MCCS). Candidate methylation sites (N = 22) and signatures (N = 3) potentially associated with breast cancer survival were identified from five prior studies that used The Cancer Genome Atlas (TCGA) methylation dataset, which shares key characteristics with the MCCS: comparable sample size, tissue type (formalin-fixed paraffin-embedded; FFPE), technology (Illumina HumanMethylation450 array), and participant characteristics (age, ancestry, and disease subtype and severity).
Sci Rep
January 2025
Sexually Transmitted and Bloodborne Infections Surveillance and Molecular Epidemiology, Sexually Transmitted and Bloodborne Infections Division at the JC Wilt Infectious Diseases Research Centre, National Microbiology Laboratories, Public Health Agency of Canada, Winnipeg, MB, R3E 3L5, Canada.
Human Immunodeficiency Virus Type 1 (HIV) set-point viral load is a strong predictor of disease progression and transmission risk. A recent genome-wide association study in individuals of African ancestries identified a region on chromosome 1 significantly associated with decreased HIV set-point viral load. Knockout of the closest gene, CHD1L, enhanced HIV replication in vitro in myeloid cells.
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