CUT&Tag is a method to map the genome-wide distribution of histone modifications and some chromatin-associated proteins. CUT&Tag relies on antibody-targeted chromatin tagmentation and can easily be scaled up or automatized. This protocol provides clear experimental guidelines and helpful considerations when planning and executing CUT&Tag experiments.
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Exploring potential therapeutic targets for small cell lung cancer based on transcriptomics combined with Mendelian randomization analysis.
Front Immunol
January 2025
Department of Medical Oncology, Wenzhou TCM Hospital of Zhejiang Chinese Medical University, Wenzhou, China.
Objective: The main objective of this study was to explore and identify new genetic targets in small-cell lung cancer (SCLC) through transcriptomics analysis and Mendelian randomization (MR) analysis, which will help in the subsequent development of new therapeutic interventions.
Methods: In this study, we extracted the SCLC dataset from the Gene Expression Omnibus (GEO) database, processed the data, and screened out differentially expressed genes (DEGs) using R software. Based on expression quantitative trait loci data and the genome-wide association study data of SCLC, MR analysis was used to screen the genes closely related to SCLC disease, which intersect with DEGs to obtain co-expressed genes (CEGs), and the biological functions and pathways of CEGs were further explored by enrichment analysis.
Resistance haplotypes to green rice leafhopper ( Uhler) estimated in genome-wide association study in Myanmar rice landraces.
Breed Sci
September 2024
Plant Breeding Laboratory, Faculty of Agriculture, Kyushu University, 744 Motooka, Nishiku, Fukuoka 819-0395, Japan.
Green rice leafhopper (GRH, Uhler) is a serious insect pest of rice in the temperate regions of Asia. Myanmar has a high genetic diversity and is located at the center of the origin of rice. To understand the genetic architecture of GRH resistance in Myanmar rice landraces, a genome-wide association study (GWAS) was performed using a diversity panel collected from diverse geographical regions.
View Article and Find Full Text PDFStrength of Genetic Associations with Thyrotropin Values Differs Between Populations with Similarity to African and European Reference Populations.
Thyroid
January 2025
Division of Endocrinology, Diabetes and Metabolism, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Epidemiological data suggest the population distribution of thyrotropin (TSH) values is shifted toward lower values in self-identified Black non-Hispanic individuals compared with self-identified White non-Hispanic individuals. It is unknown whether genetic differences between individuals with genetic similarities to African reference populations (GSA) and those with similarities to European reference populations (GSE) contribute to these observed differences. We aimed to compare genome-wide associations with TSH and putative causal TSH-associated variants between GSA and GSE groups.
View Article and Find Full Text PDFThe expression of genomically-encoded information is not error-free. Transcript-error rates are dramatically higher than DNA-level mutation rates, and despite their transient nature, the steady-state load of such errors must impose some burden on cellular performance. However, a broad perspective on the degree to which transcript-error rates are constrained by natural selection and diverge among lineages remains to be developed.
View Article and Find Full Text PDFChronic wounds are a burden to millions of patients and healthcare providers worldwide. With rising incidence and prevalence, there is an urgent need to address non-healing wounds with novel approaches. Impaired wound healing has been shown to be associated with wound microbiota, and multiple bacterial species are known to contribute to delays in closure.
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