28 research outputs found
Recommended from our members
Probing Allostery through DNA
Allostery is well documented for proteins but less recognized for DNA-protein interactions. Here, we report that specific binding of a protein on DNA is substantially stabilized or destabilized by another protein bound nearby. The ternary complex's free energy oscillates as a function of the separation between the two proteins with a periodicity of ~10 base pairs, the helical pitch of B-form DNA, and a decay length of ~15 base pairs. The binding affinity of a protein near a DNA hairpin is similarly dependent on their separation, which—together with molecular dynamics simulations—suggests that deformation of the double-helical structure is the origin of DNA allostery. The physiological relevance of this phenomenon is illustrated by its effect on gene expression in live bacteria and on a transcription factor's affinity near nucleosomes.Chemistry and Chemical Biolog
Hemp seeds attenuate loperamide-induced constipation in mice
Constipation is a common gastrointestinal disease that seriously affects human physical and mental health. Studies have reported that hemp seeds can improve constipation, however the specific mechanism is still unclear. This study investigates that hemp seed (HS) and its water-ethanol extract (HSE) attenuates loperamide-induced constipation in mice. The research results show that: the fecal water content and small intestinal transit rate of mice in the hemp seed group and hemp seed hydroalcoholic extract group were significantly increased compared with MC group, and the first red feces defecation time was significantly shortened; HS and HSE significantly influence serum levels of Gastrin (Gas), motilin (MTL), substance P (SP), and endothelin (ET), potentially mediating their effects on gastrointestinal motility. HS and HSE can improve colon inflammation in constipated mice with H&E staining. Compared with the model of constipation group, the content of short-chain fatty acids in the HS group and HSE group increased significantly. Gut microbiome studies have shown that the structure and abundance of intestinal flora are altered. HS and HSE changed the abundance of Odoribacter, Bacteroide, Lactobacillus and Prevotella. Together, these results suggest that HS have the potential to stimulate the proliferation of beneficial gut microbes and promote intestinal motility, thereby improving gut health and relieving symptoms of constipation
Cyclic ADP ribose isomers: Production, chemical structures, and immune signaling
Cyclic adenosine diphosphate (ADP)–ribose (cADPR) isomers are signaling molecules produced by bacterial and plant Toll/interleukin-1 receptor (TIR) domains via nicotinamide adenine dinucleotide (oxidized form) (NAD+) hydrolysis. We show that v-cADPR (2′cADPR) and v2-cADPR (3′cADPR) isomers are cyclized by O-glycosidic bond formation between the ribose moieties in ADPR. Structures of 2′cADPR-producing TIR domains reveal conformational changes that lead to an active assembly that resembles those of Toll-like receptor adaptor TIR domains. Mutagenesis reveals a conserved tryptophan that is essential for cyclization. We show that 3′cADPR is an activator of ThsA effector proteins from the bacterial antiphage defense system termed Thoeris and a suppressor of plant immunity when produced by the effector HopAM1. Collectively, our results reveal the molecular basis of cADPR isomer production and establish 3′cADPR in bacteria as an antiviral and plant immunity–suppressing signaling molecule
Gut microbiota in the association between obesity and kidney function decline: a metagenomics-based study in a rat model
AbstractObjectives Obesity can induce dysbiosis in the gut microbiota and is considered a separate risk factor for kidney function decline. Nonetheless, the precise function of intestinal microorganisms in facilitating the connection between obesity and kidney function decline remains uncertain. Hence, the objective of this study was to investigate the alterations in the gut microbiota composition that take place during obesity and their correlations with renal function utilizing a rat model.Methods For 20 weeks, 25 Sprague–Dawley rats were fed either a high-fat diet (HFD) or a normal-fat normal diet (ND). Physiological indices, peripheral plasma, kidney tissue, and colon contents were collected for comparison between groups. Metagenomic analysis of intestinal flora was performed.Results The HFD group demonstrated significantly increased levels of creatinine and urea nitrogen in the peripheral blood. Additionally, the HFD rats exhibited a significantly larger glomerular diameter compared to the ND group, accompanied by the presence of glomerulosclerosis, tubular vacuolar transformation, and other pathological changes in certain glomeruli. Metagenomics analysis revealed a notable rise in the prevalence of the Firmicutes phylum within the HFD group, primarily comprising the Rumenococcus genus. Functional analysis indicated that the gut microbiota in the HFD group primarily correlated with infectious diseases, signal transduction, and signaling molecules and interactions.Conclusions This study provides evidence that the consumption of a HFD induces modifications in the composition and functionality of the gut microbiome in rats, which may serve as a potential mechanism underlying the relationship between obesity and the progression of kidney function decline
Cloning of Ammopiptanthus mongolicus C-repeat-binding factor gene and its cold-induced tolerance in transgenic tobacco
C-repeat-binding factors (CBFs) are a type of important regulon in stress-related signal transduction pathways that control plant tolerance of abiotic stress. Ammopiptanthus mongolicus is the only evergreen broadleaf shrub in the northwest desert of China. The species shows strong resistance to environmental stress, especially to cold stress. An A. mongolicus CBF1 gene (AmCBF1) was cloned and transformed into tobacco. Expression of AmCBF1 could be detected in A. mongolicus shortly after exposure to low temperature of 4°C. Analysis on ratio of electrolytic leakage, soluble sugar content, free proline content, malondialdehyde (MDA) content and peroxidase (POD) activity before and after cold treatment (4°C) for 24 h indicated AmCBF1 conferred higher cold tolerance to AmCBF1 transgenic tobacco compared with the wild type and empty vector transformed tobacco
The sequence preference of DNA methylation variation in mammalians.
Methylation of cytosine at the 5 position of the pyrimidine ring is the most prevalent and significant epigenetic modifications in mammalian DNA. The CpG methylation level shows a bimodal distribution but the bimodality can be overestimated due to the heterogeneity of per-base depth. Here, we developed an algorithm to eliminate the effect of per-base depth inhomogeneity on the bimodality and obtained a random CpG methylation distribution. By quantifying the deviation of the observed methylation distribution and the random one using the information formula, we find that in tetranucleotides 5'-N5CGN3-3' (N5, N3 = A, C, G or T), GCGN3 and CCGN3 show less apparent deviation than ACGN3 and TCGN3, indicating that GCGN3 and CCGN3 are less variant in their level of methylation. The methylation variation of N5CGN3 are conserved among different cells, tissues and species, implying common features in the mechanisms of methylation and demethylation, presumably mediated by DNMTs and TETs in mammalians, respectively. Sequence dependence of DNA methylation variation also relates to gene regulatory and promotes the reexamination of the role of DNA sequence in fundamental biological processes
Methylation variation of N<sub>5</sub>CG in human and mouse cells.
<p><b>(A)</b> Human brain samples. <b>(B)</b> Mouse brain cells. <b>(C)</b> Human ESCs and iPSCs. <b>(D)</b> Human normal somatic cells. <b>(E)</b> Human PGCs. <b>(F)</b> Human gonadal somatic cells (SOMAs).</p
Methylation variation (above) and demethylation variation (below) in human brain cells of difference sequencing depth.
<p>Methylation variation (above) and demethylation variation (below) in human brain cells of difference sequencing depth.</p