Phylogenetic Analysis and Rapid Identification of the Whitefly, Bemisia afer, in China

The phylogenetic relationship between the whitefly Bemisia afer (Priesner & Hosny) (Hemiptera: Aleyrodidae) from China and other populations among the world were analyzed based on the mitochondrial cytochrome oxidase I (mtCOI) gene. Phylogenetic analysis of mtCOI sequences and those of reference B. afer sequences showed that the populations of the species could be separated into 5 clades (I–V). There were at least two clades of the species from China (IV and V). These data suggested that B. afer might be a species complex. The Chinese B. afer populations were most divergent with B. afer from the United Kingdom and African countries. The distance between the Chinese B. afer (IV and V) and clades I, II, and III is more than 32%, while the distance among clades I, II, III is lower than 7.7%. A new set of primers specific to B. afer was designed to amplify a region of approximately 400 bp to discriminate B. afer from other Bemisia species in China based on mtCOI sequences

Downregulation of Long Non-coding RNA FALEC Inhibits Gastric Cancer Cell Migration and Invasion Through Impairing ECM1 Expression by Exerting Its Enhancer-Like Function

Long non-coding RNAs (lncRNAs) have been shown to play important roles in many human diseases. However, their functions and mechanisms in tumorigenesis and development remain largely unknown. Here, we demonstrated that focally amplified lncRNA in epithelial cancer (FALEC) was upregulated and significantly correlated with lymph node metastasis, TNM stage in gastric cancer (GC). Further experiments revealed that FALEC knockdown significantly inhibited GC cells migration and invasion in vitro. Mechanistic investigations demonstrated that small interfering RNA-induced silencing of FALEC decreased expression of the nearby gene extracellular matrix protein 1 (ECM1) in cis. Additionally, ECM1 and FALEC expression were positively correlated, and high levels of ECM1 predicted shorter survival time in GC patients. Our results suggest that the downregulation of FALEC significantly inhibited the migration and invasion of GC cells through impairing ECM1 expression by exerting an enhancer-like function. Our work provides valuable information and a novel promising target for developing new therapeutic strategies in GC

A Review on Molecularly Imprinted Polymers Preparation by Computational Simulation-Aided Methods

Molecularly imprinted polymers (MIPs) are obtained by initiating the polymerization of functional monomers surrounding a template molecule in the presence of crosslinkers and porogens. The best adsorption performance can be achieved by optimizing the polymerization conditions, but this process is time consuming and labor-intensive. Theoretical calculation based on calculation simulations and intermolecular forces is an effective method to solve this problem because it is convenient, versatile, environmentally friendly, and inexpensive. In this article, computational simulation modeling methods are introduced, and the theoretical optimization methods of various molecular simulation calculation software for preparing molecularly imprinted polymers are proposed. The progress in research on and application of molecularly imprinted polymers prepared by computational simulations and computational software in the past two decades are reviewed. Computer molecular simulation methods, including molecular mechanics, molecular dynamics and quantum mechanics, are universally applicable for the MIP-based materials. Furthermore, the new role of computational simulation in the future development of molecular imprinting technology is explored

ADAMTS9-AS1 inhibits tumor growth and drug resistance in clear cell renal cell carcinoma via recruiting HuR to enhance ADAMTS9 mRNA stability

Abstract The lack of efficacious treatments for clear cell renal cell carcinoma (ccRCC) has led to a poor 5-year survival rate. Here, we found that the expression of ADAM metallopeptidase with thrombospondin type 1 motif 9 (ADAMTS9) antisense RNA 1 (ADAMTS9-AS1) is commonly decreased in ccRCC tissues. Decreased ADAMTS9-AS1 is associated with advanced stages and poor prognosis in ccRCC patients. Additionally, we found that promoter hypermethylation contributes to the suppression of ADAMTS9-AS1 expression in ccRCC that contained relatively low levels of ADAMTS9-AS1. Further functional studies demonstrated that ADAMTS9-AS1 inhibits cell growth and drug resistance through enhancing mRNA stability of ADAMTS9 in ccRCC. Mechanistically, ADAMTS9-AS1 directly bound to Human Antigen R (HuR). Then, the ADAMTS9-AS1-HuR complex was guided to the ADAMTS9 3’UTR through specific RNA–RNA interaction. Moreover, ADAMTS9-AS1 expression is positively correlated with ADAMTS9 expression in ccRCC tissues. In summary, our data not only highlight the important role of ADAMTS9-AS1 in ccRCC progression, but also reveal new regulatory mechanisms of ADAMTS9, which provides important insights into novel treatment strategies targeting ADAMTS9-AS1-HuR- ADAMTS9 axis in ccRCC

A donor polymer based on 3-cyanothiophene with superior batch-to-batch reproducibility for high-efficiency organic solar cells

The realization of high-efficiency organic solar cells (OSCs) relies largely on donor polymers. However, high-performance donor polymers are limited to a handful of building blocks, which usually suffer from lengthy synthesis and high production cost. Moreover, most donor polymers exhibited strong batch-to-batch variation. Herein, we report a new building block, 3-cyanothiophene (CT), which features a very simple asymmetric structure and facile synthesis. The donor polymer (PBCT-2F) based on the CT unit realized a remarkable power conversion efficiency (PCE) of 17.1%. More importantly, PBCT-2F exhibited excellent batch-to-batch reproducibility. The six polymer batches with molecular weights ranging from 18 to 74 kDa produced very similar PCEs: 15.9-17.1% and 12.7-13.2% when the polymer was blended with Y6 and IT-4F, respectively. These results suggest the great potential of PBCT-2F for industrial synthesis and large-scale manufacturing of OSC modules. This work also demonstrates the bright future of CT units for constructing high-performance donor polymers

A sequence of 28S rRNA-derived small RNAs is enriched in mature sperm and various somatic tissues and possibly associates with inflammation

International audienc

CCDC 2092056: Experimental Crystal Structure Determination

Related Article: Xiyue Yuan, Yunli Zhao, Tao Zhan, Jiyeon Oh, Jiadong Zhou, Junyu Li, Xiaojing Wang, Zhiqiang Wang, Shuting Pang, Ping Cai, Changduk Yang, Zhicai He, Zengqi Xie, Chunhui Duan, Fei Huang, Yong Cao|2021|Energy Environ.Sci.|14|5530|doi:10.1039/D1EE01957

Sex differences in the oral microbiome, host traits, and their causal relationships

Summary: The oral microbiome has been implicated in a growing number of diseases; however, determinants of the oral microbiome and their roles remain elusive. Here, we investigated the oral (saliva and tongue dorsum) metagenome, the whole genome, and other omics data in a total of 4,478 individuals and demonstrated that the oral microbiome composition and its major contributing host factors significantly differed between sexes. We thus conducted a sex-stratified metagenome-genome-wide-association study (M-GWAS) and identified 11 differential genetic associations with the oral microbiome (psex-difference < 5 × 10−8). Furthermore, we performed sex-stratified Mendelian randomization (MR) analyses and identified abundant causalities between the oral microbiome and serum metabolites. Notably, sex-specific microbes-hormonal interactions explained the mostly observed sex hormones differences such as the significant causalities enrichments for aldosterone in females and androstenedione in males. These findings illustrate the necessity of sex stratification and deepen our understanding of the interplay between the oral microbiome and serum metabolites

A transomic cohort as a reference point for promoting a healthy human gut microbiome

More than a decade of gut microbiome studies have a common goal of improving human health. However, while most of the disease studies have focused on the elderly or the middle-aged, a reference cohort for the gut microbiome in young individuals has been lacking. It is also not clear what other omics data need to be measured to better understand the gut microbiome. Here, we present a cohort including 2183 adults with high-depth metagenomic shotgun sequencing data for the fecal microbiome and other omics data. In this multiomic cohort, we observe a number of vitamins, hormones, amino acids, and trace elements that correlated with the gut microbiome. Many of the associations are validated in an additional cohort consisting of 1404 individuals. Our comprehensive data are poised to provide advice to future populations and mechanistic study designs to better understand and manage our gut microbiome