Browse Articles

Understanding how bacteria respond to other bacteria could facilitate their ability to initiate and maintain their infectiousness. The phenomenon by which bacteria signal to each other via chemical signals is called quorum sensing, which could be targeted to deter bacterial infection in some cases if better understood. In this article, the authors study how a bacterium called V. fischeri uses quorum sensing to change bioluminescence, an easy readout that facilitates studying quorum sensing in this strain.

This study characterizes recombinant human Protein arginine methyltransferase 1 (PRMT1) expressed in Escherichia. coli and reveals that the enzyme exhibits leaky expression even without isopropyl β-D-1-thiogalactopyranoside (IPTG) induction. Through in vitro histone methyltransferase assays, we demonstrate that PRMT1 activity toward histone H4R3 is enhanced by dithiothreitol (DTT) in a dose-dependent manner but remains unresponsive to β-mercaptoethanol. These findings highlight the critical role of redox conditions in regulating PRMT1 catalytic function and provide a practical framework for future biochemical and kinetic studies.

The authors looked at how acetaminophen may cause liver damage by looking at both serum level markers of liver damage as well as liver pathology.

The authors used RNA-seq datasets to assess the effect of CDK7 inhibition on transcriptional pathways in castration-resistant prostate cancer cells.

The authors looked at genes and pathways that are enriched in glioblastoma multiforme.

The authors assess a genetic variant within a well-known interaction partner of huntingtin that has been linked to modifying the age of onset of Huntington's disease.

The authors looked at the impact of vitamin A (retinol) on growth of S. epidermidis (most abundant bacterium on the skin) and E. coli (found in the gut microbiome, but not on the skin).

The authors looked at the ability to use graphite from pencils in anodes of lithium-anode batteries.

The authors looked at the ability of different deep learning models to predict the presence of lung cancer from chest CT scans. They found that a pre-trained CNN model performed better than an autoencoder model.

This paper investigates the potential anticancer properties of Uvularia perfoliata by testing its effects on the viability of uveal melanoma cells.