Adaptive immunity of prokaryotes is mediated by CRISPR-Cas systems that employ a large variety of Cas protein effectors to identify and destroy foreign genetic material. The different targeting mechanisms of Cas proteins rely on the proper protection of the host genome sequence while allowing for efficient detection of target sequences, termed protospacers. A short DNA sequence, the protospacer-adjacent motif (PAM), is frequently used to mark proper target sites. Cas proteins have evolved a multitude of PAM-interacting domains, which enables them to cope with viral anti-CRISPR measures that alter the sequence or accessibility of PAM elements. In this review, we summarize known PAM recognition strategies for all CRISPR-Cas types. Available structures of target bound Cas protein effector complexes highlight the diversity of mechanisms and domain architectures that are employed to guarantee target specificity.
Polygonum multiflorum Thunb. and its processed products have been used in China for centuries due to their multiple beneficial effects to human body. Currently, liver injuries caused by taking P. multiflorum have been reported worldwide, but the potential toxic components and possible mechanism that caused hepatotoxicity remain unclear. It is worth noting that the processing procedure could significantly decrease the toxicity of raw P. multiflorum and the processed products of P. multiflorum are considered to be relatively safe. However, the processing mechanism is still ambiguous, and there is the lack of a scientific approach to control the quality of P. multiflorum praeparata. This study is the first review that summarizes the recently advances (from 2007 to 2017) in the chemical analysis of P. multiflorum, and provides comprehensive information on the quantitative and qualitative analysis of P. multiflorum as well as its related species. In addition, the processing mechanism and quality evaluation of processed P. multiflorum are discussed. Moreover, the toxicity of P. multiflorum is analyzed from the perspectives of exploration of the proposed toxic ingredients, metabolite identification, metabolomics studies, and exogenous contaminant determination. Furthermore, trends and perspectives for future research of this medicine are discussed.
Eukaryotic DNA replicates asynchronously, with discrete genomic loci replicating during different stages of S phase. Drosophila larval tissues undergo endoreplication without cell division, and the latest replicating regions occasionally fail to complete endoreplication, resulting in underreplicated domains of polytene chromosomes. Here we show that linker histone H1 is required for the underreplication (UR) phenomenon in Drosophila salivary glands. H1 directly interacts with the Suppressor of UR (SUUR) protein and is required for SUUR binding to chromatin in vivo. These observations implicate H1 as a critical factor in the formation of underreplicated regions and an upstream effector of SUUR. We also demonstrate that the localization of H1 in chromatin changes profoundly during the endocycle. At the onset of endocycle S (endo-S) phase, H1 is heavily and specifically loaded into late replicating genomic regions and is then redistributed during the course of endoreplication. Our data suggest that cell cycledependent chromosome occupancy of H1 is governed by several independent processes. In addition to the ubiquitous replication-related disassembly and reassembly of chromatin, H1 is deposited into chromatin through a novel pathway that is replication-independent, rapid, and locus-specific. This cell cycle-directed dynamic localization of H1 in chromatin may play an important role in the regulation of DNA replication timing.
Background The oral microbiota is acquired very early, but the factors shaping its acquisition are not well understood. Previous studies comparing monozygotic (MZ) and dizygotic (DZ) twins have suggested that host genetics plays a role. However, all twins share an equal portion of their parent’s genome, so this model is not informative for studying parent-to-child transmission. We used a novel study design that allowed us to directly examine the genetics of transmission by comparing the oral microbiota of biological versus adoptive mother-child dyads. Results No difference was observed in how closely oral bacterial community profiles matched for adoptive versus biological mother-child pairs, indicating little if any effect of host genetics on the fidelity of transmission. Both adopted and biologic children more closely resembled their own mother as compared to unrelated women, supporting the role of contact and environment. Mother-child strain similarity increased with the age of the child, ruling out early effects of host genetic influence that are lost over time. No effect on the fidelity of mother-child strain sharing from vaginal birth or breast feeding was seen. Analysis of extended families showed that fathers and mothers were equally similar to their children, and that cohabitating couples showed even greater strain similarity than mother-child pairs. These findings support the role of contact and shared environment, and age, but not genetics, as determinants of microbial transmission, and were consistent at both species and strain level resolutions, and across multiple oral habitats. In addition, analysis of individual species all showed similar results. Conclusions The host is clearly active in shaping the composition of the oral microbiome, since only a few of the many bacterial species in the larger environment are capable of colonizing the human oral cavity. Our findings suggest that these host mechanisms are universally shared among humans, since no effect of genetic relatedness on fidelity of microbial transmission could be detected. Instead our findings point towards contact and shared environment being the driving factors of microbial transmission, with a unique combination of these factors ultimately shaping the highly personalized human oral microbiome.
Natural bioactive components are increasingly being applied in cancer research. Alpinetin is a type of natural flavonoid primarily derived from Alpinia katsumadai Hayata, which exhibits anti‑bacterial and anti‑inflammatory properties. Therefore, it may possess anticancer potential and be employed therapeutically for different diseases. The aim of the present study was to investigate the anticancer effects of alpinetin on the SKOV3 ovarian cancer cell line. The effect of alpinetin treatment on SKOV3 cell proliferation, apoptosis, spheroid and colony formation were measured using Cell Counting kit‑8, cell apoptosis, 3D spheroid and colony formation assays, respectively. Analysis of the cell cycle was performed using flow cytometry. Western blot analysis was used to determine the protein expression levels of B‑cell lymphoma (Bcl)‑2, Bcl‑2‑associated X protein, cleaved caspase‑3, cleaved poly (ADP‑ribose) polymerase (PARP), cyclin D1, cyclin‑dependent kinase (CDK) 4, CDK6, signal transducer and activator of transcription (STAT) 3, phosphorylated (p)‑STAT3, c‑myc, survivin, tissue inhibitor of metalloproteinase (TIMP)‑1, TIMP‑2, matrix metalloproteinase (MMP)‑2 and MMP‑9. In addition, a wound healing assay was used to determine cancer cell migration. The results revealed alpinetin suppressed cell viability and induced apoptosis of SKOV3 cells in a dose‑ and time‑dependent manner, and cells were arrested in the G1 phase. Alpinetin treatment upregulated protein expression levels of Bax, cleaved caspase‑3 and PARP, and downregulated protein expression levels of Bcl‑2, cyclin D1, CDK4 and CDK6. Alpinetin also inhibited cell migration, through increased protein expression levels of TIMP‑1 and TIMP‑2, and decreased protein expression levels of MMP‑2 and MMP‑9. Alpinetin also significantly suppressed colony and spheroid formation by SKOV3 cells. In addition, the STAT3 pathway was suppressed as demonstrated by downregulation of p‑STAT3 and reduced expression of downstream factors, including c‑myc and survivin. Overall, these results indicated that alpinetin may have anticancer effects on human ovarian cancer by inhibiting the STAT3 signaling pathway.
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