MicroRNA-520c-3p suppresses vascular endothelium dysfunction by targeting RELA and regulating the AKT and NF-κB signaling pathways

Journal of Physiology and Biochemistry - Endothelial injury, which can cause endothelial inflammation and dysfunction, is an important mechanism for the development of atherosclerotic plaque. This...     

NEK2 plays an active role in Tumorigenesis and Tumor Microenvironment in Non-Small Cell Lung Cancer

Abnormal expression and dysfunction of Never-in-mitosis-A-related kinase 2 (NEK2) result in tumorigenesis. High levels of NEK2 are related to malignant progression, drug resistance, and poor prognosis. However, the relationship between NEK2 levels and the occurrence of non-small cell lung cancer (NSCLC) remains unknown. This study aimed to explore the impacts of NEK2 on the oncogenesis of NSCLC and the tumor microenvironment. Downregulation of NEK2 inhibited A549 and H1299 cell proliferation, migration, and invasion, blocking cell cycle at the G0/G1 phase. Loss of NEK2 inhibited the release of IL-10 from tumor cells, M2-like polarization of macrophages, angiogenesis, and vascular endothelial cell migration. Furthermore, NEK2 deficiency inhibited tumor growth in vivo. Taken together, NEK2 knockdown inhibited the occurrence and development of NSCLC, M2 polarization of macrophages, and angiogenesis. The abnormal expression of NEK2 might not only indicate tumor progression and patient prognosis but also serve as a potential molecular therapeutic target with great development prospects.     

Novel artificial intelligence machine learning approaches to precisely predict survival and site-specific recurrence in cervical cancer: A multi-institutional study

BackgroundMachine learning (ML) has been gradually integrated into oncologic research but seldom applied to predict cervical cancer (CC), and no model has been reported to predict survival and site-specific recurrence simultaneously. Thus, we aimed to develop ML models to predict survival and site-specific recurrence in CC and to guide individual surveillance.MethodsWe retrospectively collected data on CC patients from 2006 to 2017 in four hospitals. The survival or recurrence predictive value of the variables was analyzed using multivariate Cox, principal component, and K-means clustering analyses. The predictive performances of eight ML models were compared with logistic or Cox models. A novel web-based predictive calculator was developed based on the ML algorithms.ResultsThis study included 5112 women for analysis (268 deaths, 343 recurrences): (1) For site-specific recurrence, larger tumor size was associated with local recurrence, while positive lymph nodes were associated with distant recurrence. (2) The ML models exhibited better prognostic predictive performance than traditional models. (3) The ML models were superior to traditional models when multiple variables were used. (4) A novel predictive web-based calculator was developed and externally validated to predict survival and site-specific recurrence.ConclusionML models might be a better analytic approach in CC prognostic prediction than traditional models as they can predict survival and site-specific recurrence simultaneously, especially when using multiple variables. Moreover, our novel web-based calculator may provide clinicians with useful information and help them make individual postoperative follow-up plans and further treatment strategies.     

An efficient pipeline for ancient DNA mapping and recovery of endogenous ancient DNA from whole‐genome sequencing data

Ancient DNA research has developed rapidly over the past few decades due to improvements in PCR and next‐generation sequencing (NGS) technologies, but challenges still exist. One major challenge in relation to ancient DNA research is to recover genuine endogenous ancient DNA sequences from raw sequencing data. This is often difficult due to degradation of ancient DNA and high levels of contamination, especially homologous contamination that has extremely similar genetic background with that of the real ancient DNA. In this study, we collected whole‐genome sequencing (WGS) data from 6 ancient samples to compare different mapping algorithms. To further explore more effective methods to separate endogenous DNA from homologous contaminations, we attempted to recover reads based on ancient DNA specific characteristics of deamination, depurination, and DNA fragmentation with different parameters. We propose a quick and improved pipeline for separating endogenous ancient DNA while simultaneously decreasing homologous contaminations to very low proportions. Our goal in this research was to develop useful recommendations for ancient DNA mapping and for separation of endogenous DNA to facilitate future studies of ancient DNA.     

基于生物膜干涉技术检测PDL1抗体与PDL1抗原的亲和力

生物膜干涉（biolayer interferometry,BLI）技术可对抗体与抗原的相互作用进行亲和力、动力学的全面分析。在抗体克隆筛选、动力学常数测定中对链霉亲和素（streptavidin,SA）生物传感器的需求量较大,但目前鲜有关于SA传感器重复利用的报道。基于BLI技术、再生SA生物传感器建立一种使用再生后的传感器检测PDL1抗体与PDL1抗原亲和力的方法。通过将生物素化的PDL1抗原偶联至SA生物传感器上,再与单链抗体、双价单链抗体、完整抗体和双特异性抗体这4类PDL1抗体结合,计算抗原抗体的亲和力常数,利用甘氨酸（10 mmol·L^-1,pH 1.7）再生SA传感器,再次进行分子间相互作用力分析。结果显示,重复性相对标准偏差（relative standard deviation,RSD）均值为6.87%,批间重复性RSD为0.82%,稳定性RSD均值为6.13%,说明运用甘氨酸再生后的SA生物传感器测分子间的亲和力数据可靠、重现性好、稳定性高,再生后的传感器可继续用于本样品的实时、无标记的抗原抗体相互作用力分析。BLI技术可节省检测成本,为SA传感器的重复利用提供理论依据。     

The progress and perspectives of CAR-T cell therapy

CAR-T cell therapy has already achieved world-renowned clinical effects in the treatment of hematological malignancies. Due to the tumor heterogeneity, immunosuppressive microenvironment, and other factors, CAR-T cell therapy has still not shown obvious clinical efficacy in clinical treatment of solid tumors. However, great progress has been made in the preparation of CAR-T cells in recent years, including T cells redirected for universal cytokine mediated killing, universal CAR -T cells, non-viral vector CAR-T cells, SynNotch technology, SUPRA CAR technology, regulated CAR-T cells, and bi-specific CAR-T cells, etc. Future research and development of CAR-T cell therapy will be focused on these following aspects: the combined application of CAR-T cells with different targets, known as "Cocktail CAR-T cells", is expected to increase efficiency toward solid tumors; based on systemic biology/synthetic biology theories, CAR-T cells are likely to be transformed to robot or intelligent system by introducing sensors, logic gates, and logic circuits. This article mainly comments on research progress and perspectives on CAR-T cell therapy in solid tumor treatment.     

花苜蓿小尺度空间遗传结构研究

以花苜蓿（Medicago ruthenica Trautv.）为材料,在内蒙古克什克腾旗建立两个25 m×50 m的样方（山谷YF1和山坡YF2）,采集该范围内的所有个体,利用8对SSR分子标记对其遗传变异特性进行分析。结果显示,克什克腾旗花苜蓿居群遗传多样性较高。两个居群个体的空间自相关分析结果表明,9 m内的个体间为非随机邻近交配,且在同距离范围内,山谷居群的个体间遗传相似性更低,推测此区域可能是历史和地理因素塑造了花苜蓿丰富的遗传多样性,两个小尺度空间格局的个体间基因流模式主要受地形影响。     

中华蜜蜂AcNPC2b的原核表达和鉴定

[目的]中华蜜蜂Apis cerana cerana(简称中蜂),其胞内胆固醇转运体AcNPC2a能够识别并结合几种微生物的细胞壁,AcNPC2存在于该蜂触角,参与嗅觉通讯,关于AcNPC2b的功能尚未见报道.[方法]通过对中华蜜蜂AcNPC2b基因进行原核表达,以纯化的重组蛋白免疫小鼠,制备多克隆抗血清;利用荧光定量PCR和免疫印迹检测AcNPC2b的转录活性及蛋白水平,通过微生物结合测定对AcNPC2b的功能进行探索.[结果]中蜂AcNPC2b含有信号肽和ML结构域,具有3个二硫键,与果蝇Drosophila melanogaster DmNPC2b聚为一个亚枝.荧光定量qRT-PCR检测发现,感染中蜂囊状幼虫病毒(Chinses sacbrood virus,简称CSBV)的幼虫体内AcNPC2b基因的表达呈现出先微弱下调再持续上调的趋势.获得了约16ku的重组蛋白AcNPC2b并制备了多克隆抗体,免疫印迹结果表明,中蜂AcNPC2b蛋白在工蜂头、胸与中肠中的表达量最高,触角、马氏管与脂肪体中次之.AcNPC2b蛋白在正常与感染CSBV病毒的中蜂幼虫中均有表达,且在感染CSBV的中蜂幼虫中有微弱上调.重组蛋白AcNPC2b微生物结合测定实验结果显示中蜂AcNPC2b重组蛋白均能与活的大肠杆菌、金黄色葡萄球菌、芽孢杆菌以及白僵菌结合.[结论]正常与感染CSBV病毒的中蜂幼虫体内AcNPC2b基因转录水平和AcNPC2b蛋白的表达含量存在差异,重组蛋白AcNPC2b具有识别并结合病原菌的能力,为后续深入研究AcNPC2b蛋白的分子功能奠定了一定理论基础.