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MMSET regulates histone H4K20 methylation and 53BP1 accumulation at DNA damage sites
TLDR
It is proposed that a pathway involving γH2AX–MDC1–MMSET regulates the induction of H4K20 methylation on histones around DSBs, which, in turn, facilitates 53BP1 recruitment.
DNA methylation contributes to natural human variation.
DNA methylation patterns are important for establishing cell, tissue, and organism phenotypes, but little is known about their contribution to natural human variation. To determine their contribution
Human aromatase: gene resequencing and functional genomics.
TLDR
Observations indicate that genetic variation in CYP19 might contribute to variation in the pathophysiology of estrogen-dependent disease.
Sumoylation of MDC1 is important for proper DNA damage response
TLDR
MDC1 is sumoylated following DNA damage, and the sumoylation of MDC1 at Lys1840 is required for MDC 1 degradation and removal of M DC1 and 53BP1 from sites of DNA damage.
Genomics and drug response.
This article reviews recent pharmacogenetic and pharmacogenomic advances and discusses how such advances are reflected in the labeling of drugs.
Human Arsenic Methyltransferase (AS3MT) Pharmacogenetics
TLDR
expression of reporter gene constructs for the 5′-flanking region and the variable number of tandem repeats in the 5-untranslated region demonstrated cell line-dependent variation in reporter gene expression, with shorter repeats associated with increased transcription in HepG2 cells.
AMPK regulates histone H2B O-GlcNAcylation
TLDR
A crosstalk between the LKB1-AMPK and the hexosamine biosynthesis (HBP)-OGT pathways, which coordinate together for the sensing of nutrient state and regulation of gene transcription, is revealed.
Androgen Receptor Variant AR-V9 Is Coexpressed with AR-V7 in Prostate Cancer Metastases and Predicts Abiraterone Resistance
TLDR
AR-V9 was frequently coexpressed with AR-V7 and may be an important component of therapeutic resistance in CRPC, and both AR variant species were found to share a common 3′ terminal cryptic exon, which rendered AR-v9 susceptible to experimental manipulations that were previously thought to target AR- V7 uniquely.
Measure transcript integrity using RNA-seq data
TLDR
Through comparing 10 prostate cancer clinical samples with lower RNA integrity to 10 samples with higher RNA quality, it is demonstrated that calibrating gene expression counts with TIN scores could effectively neutralize RNA degradation effects by reducing false positives and recovering biologically meaningful pathways.
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