脐疝发病机制及易感基因研究进展

脐疝(umbilical hernia,UH)是人及其他哺乳动物中常见的腹壁疝之一,可对人类健康及畜牧养殖造成较大影响.UH发生与腹壁强度不足直接相关,已知造成脐部及周围腹壁强度降低的因素主要包括腹壁发育不全和胶原代谢异常等.同时,UH受遗传因素的影响,目前己陆续发现相关的易感基因及位点;不过,UH的分子遗传机制尚无确...     

整合冠心病风险SNPs功能及分子网络特征筛选疾病易感基因

目的:冠心病(Coronary Heart Disease,CHD)是一种由多因素(遗传因素、环境因素以及它们之间的相互作用)引起的复杂疾病。本文从遗传因素和分子互作模式识别新的冠心病易感基因。方法:结合冠心病群体遗传SNPs数据和PPI数据,通过群体遗传数据的风险评估、功能SNPs的判定和PPI网络基因的分类,以功能SNPs属性、网络拓扑属性和基因功能属性为特征,利用两步分类的方法筛选新的冠心病易感基因。结果:获得了69个新的冠心病易感基因,其中43个被文献证实与冠心病的发生发展密切相关,且识别的新的易感基因注释的KEGG通路中有很多是已知的易感基因所没有注释到的,如MAPK signaling pathway,Calcium signaling pathway,Focal adhesion和Chemokine signaling pathway等,其中Chemokine signaling pathway被证实是CHD发展的关键通路。结论:应用本文提出的整合筛选策略,能识别与冠心病相关的新的易感基因,可为冠心病的预防、诊断和治疗提供新的研究方向。     

乳腺癌和卵巢癌易感基因2及2a编码蛋白N端的原核表达

目的:分别表达乳腺癌和卵巢癌易感基因BRCA2编码蛋白的N端500个氨基酸残基(nBRCA2)及其缺乏第3个外显子编码的蛋白(nBRCA2a),为分析比较含与不含第3个外显子所表达蛋白的功能差异准备条件。方法:采用RT-PCR,从BT-474细胞系的RNA扩增获得nBRCA2(编码1～500氨基酸残基)和nBRCA2a(编码1～18-105～500氨基酸残基)的基因片段,通过体外重组技术将目的基因片段连接到原核表达载体pGEX-2TK中,将经酶切和测序鉴定正确的重组质粒转化大肠杆菌BL21(DE3)pLysS受体菌,用IPTG诱导重组融合蛋白(与GST融合)的表达并进行纯化。结果和结论:构建了含有和不含有第3个外显子的重组原核表达质粒pGEX-2TK/nBRAC2和pGEX-2TK/nBRCA2a;融合表达产物经SDS-PAGE鉴定,并采用十二烷基肌氨酸钠进行了可溶性纯化,获得了相对分子质量分别为81000和71000的融合表达蛋白。     

基于多目标评价方法的乳腺癌易感基因排序及其网络表达研究

目的利用已有的研究结果和数据,采用多目标评价方法建立乳腺癌易感基因评价模型,对与已知乳腺癌基因关系密切的其它基因进行分析和排序,并给出结果的网络表达模式。方法通过分析已有的文献,并利用有关的基因数据库和已有文献中的数据,提炼出乳腺癌易感基因的多目标评价体系,构建基于加权和法的乳腺癌易感基因评价模型,并利用Cytoscape软件进行评价结果计算和评价结果的网络模式表达。结果利用多目标模型所得到的评价结果,与已有的研究结果一致。其中,乳腺癌易感基因TopBP1排名第二,已知乳腺癌候选易感基因HMMR排名第六。结论文章提出的多目标评价模型能够准确评价被选基因与乳腺癌易感性之间的关系,所提出的评价方法与相关软件结合使用,将成为癌症易感基因研究方面有效的分析方法和途径。     

基于细胞热漂移测定(CETSA)技术鉴定活细胞内药物靶标的标准操作流程

【目的】细胞热漂移测定(cell thermal shift assay, CETSA)技术是一种检测细胞内药物(配体)和蛋白质(靶标)相互作用的技术,原理是当蛋白质结合药物后,其热稳定性会发生变化,通过测定这种变化去鉴定药物和蛋白之间的相互作用。本研究以治疗多发性骨髓瘤的靶向药帕比司他(panobinostat)为例,建立基于蛋白印迹杂交(Western blotting)和CETSA技术的药物靶蛋白鉴定的标准操作流程。【方法】首先用药物panobinostat处理培养的K562细胞,然后加热处理细胞、裂解细胞及提取可溶性蛋白,以及用抗靶蛋白的抗体经Western blotting定量可溶性蛋白。【结果】经Western blotting定量及曲线拟合,成功得到3个蛋白——组蛋白去乙酰化酶(histone deacetylase,HDAC1)、人突触蛋白(humansyntaxin-4,STX4)以及四三肽重复结构域(tetratricopeptiderepeat domain38,TTC38)随温度变化的热熔解曲线和恒定温度条件下的药物剂量反应曲线。【结论】HDAC1、STX4及T...     

Identification of potential core genes and pathways predicting pathogenesis in head and neck squamous cell carcinoma

Head and neck squamous cell carcinoma (HNSCC) is the most common subtype of head and neck cancer; however, its pathogenesis and potential therapeutic targets remain largely unknown. In the present study, we analyzed three gene expression profiles and screened differentially expressed genes (DEGs) between HNSCC and normal tissues. The DEGs were subjected to gene ontology (GO), Kyoto encyclopedia of genes and genomes (KEGG), protein–protein interaction (PPI), and survival analyses, while the connectivity map (CMap) database was used to predict candidate small molecules that may reverse the biological state of HNSCC. Finally, we measured the expression of the most relevant core gene in vitro and examined the effect of the top predicted potential drug against the proliferation of HNSCC cell lines. Among the 208 DEGs and ten hub genes identified, CDK1 and CDC45 were associated with unfavorable HNSCC prognosis, and three potential small molecule drugs for treating HNSCC were identified. Increased CDK1 expression was confirmed in HNSCC cells, and menadione, the top predicted potential drug, exerted significant inhibitory effects against HNSCC cell proliferation and markedly reversed CDK1 expression. Together, the findings of the present study suggest that the ten hub genes and pathways identified may be closely related to HNSCC pathogenesis. In particular, CDK1 and CDC45 overexpression could be reliable biomarkers for predicting unfavorable prognosis in patients with HNSCC, while the new candidate small molecules identified by CMap analysis provide new avenues for the development of potential drugs to treat HNSCC.     

Dysregulated mitochondrial genes and networks with drug targets in postmortem brain of patients with posttraumatic stress disorder (PTSD) revealed by human mitochondria-focused cDNA microarrays

Posttraumatic stress disorder (PTSD) is associated with decreased activity in the dorsolateral prefrontal cortex (DLPFC), the brain region that regulates working memory and preparation and selection of fear responses. We investigated gene expression profiles in DLPFC Brodmann area (BA) 46 of postmortem patients with (n=6) and without PTSD (n=6) using human mitochondria-focused cDNA microarrays. Our study revealed PTSD-specific expression fingerprints of 800 informative mitochondria-focused genes across all of these 12 BA46 samples, and 119 (+/->1.25, p<0.05) and 42 (+/->1.60, p<0.05) dysregulated genes between the PTSD and control samples. Quantitative RT-PCR validated the microarray results. These fingerprints can essentially distinguish the PTSD DLPFC BA46 brains from controls. Of the 119 dysregulated genes (+/-> or =125%, p<0.05), the highest percentages were associated with mitochondrial dysfunction (4.8%, p=6.61 x 10(-6)), oxidative phosphorylation (3.8%, p=9.04 x 10(-4)), cell survival-apoptosis (25.2%, p<0.05) and neurological diseases (23.5%, p<0.05). Fifty (50) dysregulated genes were present in the molecular networks that are known to be involved in neuronal function-survival and contain 7 targets for neuropsychiatric drugs. Thirty (30) of the dysregulated genes are associated with a number of neuropsychiatric disorders. Our results indicate mitochondrial dysfunction in the PTSD DLPFC BA46 and provide the expression fingerprints that may ultimately serve as biomarkers for PTSD diagnosis and the drugs and molecular targets that may prove useful for development of remedies for prevention and treatment of PTSD.     

A two-step drug repositioning method based on a protein-protein interaction network of genes shared by two diseases and the similarity of drugs

The present study proposed a two-step drug repositioning method based on a protein-protein interaction (PPI) network of two diseases and the similarity of the drugs prescribed for one of the two. In the proposed method, first, lists of disease related genes were obtained from a meta-database called Genotator. Then genes shared by a pair of diseases were sought. At the first step of the method, if a drug having its target(s) in the PPI network, the drug was deemed a repositioning candidate. Because targets of many drugs are still unknown, the similarities between the prescribed drugs for a specific disease were used to infer repositioning candidates at the second step. As a first attempt, we applied the proposed method to four different types of diseases: hypertension, diabetes mellitus, Crohn disease, and autism. Some repositioning candidates were found both at the first and second steps.     

A systems biology approach to prediction of oncogenes and molecular perturbation targets in B‐cell lymphomas

The computational identification of oncogenic lesions is still a key open problem in cancer biology. Although several methods have been proposed, they fail to model how such events are mediated by the network of molecular interactions in the cell. In this paper, we introduce a systems biology approach, based on the analysis of molecular interactions that become dysregulated in specific tumor phenotypes. Such a strategy provides important insights into tumorigenesis, effectively extending and complementing existing methods. Furthermore, we show that the same approach is highly effective in identifying the targets of molecular perturbations in a human cellular context, a task virtually unaddressed by existing computational methods. To identify interactions that are dysregulated in three distinct non‐Hodgkin's lymphomas and in samples perturbed with CD40 ligand, we use the B‐cell interactome (BCI), a genome‐wide compendium of human B‐cell molecular interactions, in combination with a large set of microarray expression profiles. The method consistently ranked the known gene in the top 20 (0.3%), outperforming conventional approaches in 3 of 4 cases.     

Identification of EPHX2 and RMI2 as two novel key genes in cervical squamous cell carcinoma by an integrated bioinformatic analysis

Cervical cancer is the fourth most common malignancy in women worldwide and cervical squamous cell carcinoma (CESC) is the most common histological type of cervical cancer. The dysregulation of genes plays a significant role in cancer. In the present study, we screened out differentially expressed genes (DEGs) of CESC in the GSE63514 data set from the Gene Expression Omnibus database. An integrated bioinformatics analysis was used to select hub genes, as well as to investigate their related prognostic signature, functional annotation, methylation mechanism, and candidate molecular drugs. As a result, a total of 1907 DEGs were identified (944 were upregulated and 963 were downregulated). In the protein–protein interaction network, three hub modules and 30 hub genes were identified. And two hub modules and 116 hub genes were screened out from four CESC-related modules by the weighted gene coexpression network analysis. The gene ontology term enrichment analysis and Kyoto encyclopedia of genes and genomes pathway analysis were performed to better understand functions and pathways. Genes with a significant prognostic value were found by prognostic signature analysis. And there were five genes (EPHX2, CHAF1B, KIAA1524, CDC45, and RMI2) identified as significant CESC-associated genes after expression validation and survival analysis. Among them, EPHX2 and RMI2 were noted as two novel key genes for the CESC-associated methylation and expression. In addition, four candidate small molecule drugs for CESC (camptothecin, resveratrol, vorinostat, and trichostatin A) were defined. Further studies are required to explore these significant CESC-associated genes for their potentiality in diagnosis, prognosis, and targeted therapy.     

The clinical application of 68Ga-PSMA PET/CT and regulating mechanism of PSMA expression in patients with brain metastases of lung cancer

Brain metastases (BMs) of lung cancer are common malignant intracranial tumours associated with severe neurological symptoms and an abysmal prognosis. Prostate-specific membrane antigen (PSMA) has been reported to express significantly in a variety of solid tumours. However, the clinical applications of ⁶⁸Ga-PSMA PET/CT and the mechanism of PSMA expression in patients with BMs of lung cancer have rarely been reported. Experiments with ⁶⁸Ga-PSMA PET/CT and immunohistochemical staining were conducted to evaluate the expression of PSMA from seven patients with BMs of lung cancer who accepted surgical treatment in Fudan University Shanghai Cancer Center between October 2020 and October 2021. The mechanism of PSMA expression in BMs of lung cancer was explored by using single-cell RNA sequencing. The median maximum standardized uptake value (SUVmax) in BMs was higher than that in primary lung cancer (8.6 ± 2.8 vs. 3.6 ± 1.3, P < 0.01). The mean SUVmax in BMs was 1.76-fold higher than that in the liver, which indicated the potential of PSMA radioligand therapy (PSMA-RLT) for BMs. BMs showed intense PSMA staining, while normal lung tissue had no PSMA staining and there was only faint primary lung cancer staining by immunohistochemistry (IHC). Single-cell RNA sequencing (scRNA-seq) analysis found that PSMA was mainly expressed in oligodendrocytes of BMs, whereas it was expressed at lower levels in solid cells of lung cancer. PSMA expression in oligodendrocytes might be regulated by the factors ATF3 and NR4A1, which were associated with ER stress.