转录组分析揭示东方蜜蜂微孢子虫侵染意大利蜜蜂的分子机制

【目的】本研究旨在通过差异表达基因(differentially expressed gene, DEG)分析以及毒力因子和其他侵染相关因子分析,在转录组水平揭示东方蜜蜂微孢子虫Nosema ceranae侵染意大利蜜蜂Apis mellifera ligustica的分子机制。【方法】基于前期已获得高质量的东方蜜蜂微孢子虫纯化孢子(NcCK)及侵染意大利蜜蜂工蜂7和10 d的东方蜜蜂微孢子虫(分别为NcT1和NcT2)转录组数据,根据P≤0.05且|log_2(Fold change)|≥1的标准,通过比较分析筛选出NcCK vs NcT1, NcCK vs NcT2和NcT1 vs NcT2比较组的DEG。通过相关生物信息学软件对上述DEG进行Venn分析、GO分类和KEGG代谢通路富集分析。根据Nr和KEGG数据库注释信息和相关文献进行对东方蜜蜂微孢子虫的毒力因子和侵染相关因子的统计和分析。通过RT-qPCR验证转录组数据及DEG表达趋势。【结果】从NcCK vs NcT1, NcCK vs NcT2和NcT1 vs NcT2比较组分别鉴定出1 397, 1 497和52个DEG。Venn分析结果显示各比较组共有的上调和下调基因分别为10和1个。GO分类结果显示,NcCK vs NcT1和NcCK vs NcT2中DEG富集数最多的功能条目为代谢进程、细胞进程、单组织进程、细胞、细胞组件、细胞器、催化活性和结合,而NcT1 vs NcT2中DEG富集数最多的是代谢进程、细胞进程、单组织进程、催化活性和结合。KEGG代谢通路富集分析结果显示,NcCK vs NcT1和NcCK vs NcT2中DEG分别富集到80和79条通路;富集在糖酵解/糖异生和MAPK信号通路的上调基因数量多于下调基因。毒力因子分析结果显示,孢壁蛋白9基因和孢壁蛋白12基因在NcCK vs NcT1和NcCK vs NcT2中均下调表达,孢壁蛋白8基因仅在NcCK vs NcT1中表达量下调;此外孢壁蛋白前体基因、孢壁和锚定盘复合蛋白基因、几丁质合酶基因、极管蛋白基因、蓖麻毒素B凝集素基因的表达水平在NcCK vs NcT1和NcCK vs NcT2中表现为上调。侵染相关因子分析结果表明,糖酵解途径的3个关键酶基因在NcCK vs NcT1和NcCK vs NcT2中上调表达;3个涉及ATP/ADP移位酶的基因在NcCK vs NcT1和NcCK vs NcT2中上调表达,但有1个表达量下调;2个涉及ABC转运蛋白的基因在NcCK vs NcT1和NcCK vs NcT2中上调表达,另有4个下调表达。RT-qPCR结果证实了本研究中转录组数据及DEG表达趋势的真实可靠性。【结论】本研究通过比较分析解析东方蜜蜂微孢子虫侵染意大利蜜蜂工蜂过程的转录组动态,揭示了孢壁蛋白、孢壁和锚定盘复合蛋白、几丁质酶、极管蛋白和蓖麻毒素B凝集素等毒力因子编码基因,以及己糖激酶、丙酮酸激酶、6-磷酸果糖激酶、ATP/ADP移位酶和ABC转运蛋白等侵染相关因子编码基因在病原增殖中扮演重要角色,为阐明东方蜜蜂微孢子虫的侵染机制提供了基础。     

Uncovering the pathogenesis and identifying novel targets of pancreatic cancer using bioinformatics approach

Pancreatic cancer is a uniformly lethal disease that can be difficult to diagnose at its early stage. Thus, our present study aimed to explore the underlying mechanism and identify new targets for this disease. The data GSE16515, including 36 tumor and 16 normal samples were available from Gene Expression Omnibus. Differentially expressed genes (DEGs) were screened out using Robust Multichip Averaging and LIMMA package. Moreover, gene ontology and pathway enrichment analyses were performed to DEGs. Followed with protein–protein interaction (PPI) network construction by STRING and Cytoscape, module analysis was conducted using ClusterONE. Finally, based on PubMed, text mining about these DEGs was carried out. Total 274 up-regulated and 93 down-regulated genes were identified as the common DEGs and these genes were discovered significantly enriched in cell adhesion and extracellular region terms, as well as ECM-receptor interaction pathway. In addition, five modules were screened out from the up-regulated PPI network with none in down-regulated network. Finally, the up-regulated genes, including MIA, MET and CEACAMS, and down-regulated genes, such as FGF, INS and LAPP, had the most references in text mining analysis. Our findings demonstrate that the up- and down-regulated genes play important roles in pancreatic cancer development and might be new targets for the therapy.     

感染球孢白僵菌的家蚕免疫应答差异表达基因分析

【目的】筛选家蚕Bombyx mori应对白僵菌Beauveria bassiana侵染的应答基因, 以进一步研究家蚕抵御真菌侵染的分子机制。【方法】采用新一代Solexa高通量测序技术对感染白僵菌及未感染白僵菌的对照组家蚕进行了测序分析, 筛选差异表达基因; 结合生物信息学工具分析差异表达基因的功能注释、 分类及涉及的信号通路等; 应用荧光定量PCR技术验证10个基因的差异表达。【结果】通过测序和生物信息学分析共获得377个差异表达基因, 其中表达上调基因236个, 下调基因141个; KEGG通路分析表明, 各通路中既有表达上调的基因, 也有下调基因; 12个上调基因、 26个下调基因参与3个显著性富集的KEGG通路, 即核糖体、 氨酰tRNA生物合成和剪接体通路。定量PCR与测序结果显示, 溶菌酶、 热激蛋白、 谷胱甘肽S-转移酶、 肽聚糖识别蛋白等与免疫应激相关的蛋白基因均呈现表达上调。【结论】本研究筛选获得的差异表达基因, 特别是上调表达的基因可能与家蚕应对白僵菌侵染的应答机制有关, 其中与免疫应激相关的蛋白基因如溶菌酶、 热激蛋白、 谷胱甘肽S 转移酶、 肽聚糖识别蛋白基因等可能直接参与了家蚕对白僵菌的免疫识别和防御, 研究结果为从分子水平阐明家蚕抵御真菌侵染的防御机制和白僵菌对家蚕的致病机理提供新的依据。     

Analysis of dysregulation of immune system in pancreatic cancer based on gene expression profile

The aim of this study was to explore the dysregulated expression of the immune system in pancreatic cancer and clarify the pathogenesis of pancreatic cancer. The Dataset GSE15471 was downloaded from GEO database, Student’s t test was used to screen differentially expressed genes (DEGs) between the pancreatic cancer group and the normal control group. Kyoto Encyclopedia of Genes and Genomes (KEGG) provides functional annotation was employed to explore the significant DEGs involved in biological functions. We got 988 significantly DEGs, including 832 up-regulated genes and 156 down-regulated genes. The ratio of up-regulated genes and down-regulated genes was 5.3. Total 13 biological pathways which were significant enriched with DEGs by KEGG pathway enrichment analysis. Finally, we constructed a overall network of the immune system in pancreatic cancer with these biological pathways information. Our study reveals that dysregulated pathways in pancreatic cancer associated with the immune system. Besides, we also identify some important molecular biomarkers of the pancreatic cancer, including CXCR4 and CD4. Dysfunctional pathways and important molecular biomarkers of pancreatic cancer will provide useful information for potential treatment of pancreatic cancer.     

Analysis of the potential pathways and target genes in spinal cord injury using bioinformatics methods

Spinal cord injury (SCI) remains to be the most devastating type of trauma for patients because of long lasting disability and limited response to the acute drug administration and efforts at rehabilitation. With the purpose to identify potential targets for SCI treatment and to gain more insights into the mechanisms of SCI, the microarray data of GSE2270, including 119 raphe magnus (RM) samples and 125 sensorimotor cortex (SMTC) samples, was downloaded from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were screened in RM group and SMTC group compared with their corresponding controls, respectively. A protein–protein interaction (PPI) network was constructed based on the common DEGs identified in both RM group and SMTC group. Gene ontology (GO) and pathway enrichment analyses of the overlapping DEGs were performed. Furthermore, the common DEGs enriched in each pathway were analyzed to identify significant regulatory elements. Totally, 173 overlapping DEGs (130 up-regulated and 43 down-regulated) were identified in both RM and SMTC samples. These overlapping DEGs were enriched in different GO terms. Pathway enrichment analysis revealed that DEGs were mainly related to inflammation and immunity. CD68 molecule (CD68) was a hub protein in the PPI network. Moreover, the regulatory network showed that ras-related C3 botulinum toxin substrate 2 (RAC2), CD44 molecule (CD44), and actin related protein 2/3 complex (ARPC1B) were hub genes. RAC2, CD44, and ARPC1B may be significantly involved in the pathogenesis of SCI by participating significant pathways such as extracellular matrix-receptor signaling pathway and Toll-like receptor signaling pathway.     

Bioinformatics Analyses of the Role of Vascular Endothelial Growth Factor in Patients with Non-Small Cell Lung Cancer

Purpose

This study was aimed to identify the expression pattern of vascular endothelial growth factor (VEGF) in non-small cell lung cancer (NSCLC) and to explore its potential correlation with the progression of NSCLC.

Methods

Gene expression profile GSE39345 was downloaded from the Gene Expression Omnibus database. Twenty healthy controls and 32 NSCLC samples before chemotherapy were analyzed to identify the differentially expressed genes (DEGs). Then pathway enrichment analysis of the DEGs was performed and protein-protein interaction networks were constructed. Particularly, VEGF genes and the VEGF signaling pathway were analyzed. The sub-network was constructed followed by functional enrichment analysis.

Results

Total 1666 up-regulated and 1542 down-regulated DEGs were identified. The down-regulated DEGs were mainly enriched in the pathways associated with cancer. VEGFA and VEGFB were found to be the initiating factor of VEGF signaling pathway. In addition, in the epidermal growth factor receptor (EGFR), VEGFA and VEGFB associated sub-network, kinase insert domain receptor (KDR), fibronectin 1 (FN1), transforming growth factor beta induced (TGFBI) and proliferating cell nuclear antigen (PCNA) were found to interact with at least two of the three hub genes. The DEGs in this sub-network were mainly enriched in Gene Ontology terms related to cell proliferation.

Conclusion

EGFR, KDR, FN1, TGFBI and PCNA may interact with VEGFA to play important roles in NSCLC tumorigenesis. These genes and corresponding proteins may have the potential to be used as the targets for either diagnosis or treatment of patients with NSCLC.     

基于转录组的肝豆状核变性调控网络的构建和分析

本研究旨在利用生物信息学方法构建经铜诱导的ATP7B基因敲除HepG2细胞系的转录调控网络。探讨关键转录因子在肝豆状核变性发生、发展中的潜在作用机制。收集公共基因表达数据库(gene expression omnibus, GEO)中包含野生型、ATP7B基因敲除型、铜诱导的野生型和铜诱导的ATP7B基因敲除型HepG2细胞系数据。筛选由铜诱导产生的差异表达基因(differentially expressed genes,DEGs)后进行基因本体论(gene ontology,GO)、京都基因和基因组百科全书(Kyoto encyclopedia of genes and genomes, KEGG)富集分析。基于蛋白相互作用网络,识别疾病关键基因和功能模块,并对关键功能模块中的基因进行富集分析。最后,构建转录调控网络,筛选核心转录因子。共筛选出1 034个差异表达基因,其中上调525个,下调509个。上、下调关键功能模块分别包括了3785个和3931个基因。关键功能模块中的基因主要定位于细胞-基质连接、染色体、剪接复合体、核糖体等区域,共同参与了mRNA加工、组蛋白修饰、RNA剪切...     

刺芹侧耳不同发育时期的转录组差异分析

为了探讨刺芹侧耳子实体生长发育时期的基因表达变化,本文利用高通量测序技术对刺芹侧耳不同发育时期（菌丝期、原基期、子实体时期）进行RNA-Seq分析,在转录水平上解析差异表达基因在刺芹侧耳生长发育过程中的作用和功能。KEGG功能富集显示,菌丝期差异表达基因主要富集在碳代谢和氨基酸代谢中,其中三羧酸循环中编码柠檬酸合酶、乌头酸水合酶、异柠檬酸脱氢酶、琥珀酰辅酶A合成酶、琥珀酸脱氢酶、苹果酸脱氢酶的基因表达量均上调,说明碳代谢和氨基酸代谢是菌丝时期的主要能量来源;原基期上调的差异表达基因主要富集在脂肪酸代谢,其中RT-PCR定量结果显示原基期编码脂肪酸合酶的基因和编码脂酰辅酶A合成酶的基因下调,编码超氧化物酶的基因和编码过氧化氢酶的基因上调,表明脂肪酸代谢和抗氧化酶对刺芹侧耳原基期维持机体的稳定和生物应激方面起着重要作用。子实体时期上调的差异表达基因主要富集在剪接体、类固醇的生物合成以及AMPK信号通路中,说明环境因子对子实体时期有一定的影响。     

侧孢短芽孢杆菌S2-31拮抗下细辛叶枯病菌转录组差异表达分析

通过分析侧孢短芽孢杆菌拮抗作用下叶枯病菌的转录组学特征,研究差异表达基因(DEGs)和代谢通路的富集情况,初步探索侧孢短芽孢杆菌拮抗叶枯病菌的分子机制.首先利用S2-31与叶枯病菌的对峙培养观察其拮抗作用,然后利用转录组测序探究侧孢短芽孢杆菌拮抗下和正常生长下的叶枯病菌的基因表达水平差异,并进行RT-qPCR验证,最后...     

家蚕5龄幼虫精巢和卵巢microRNA芯片及转录组比较分析

【目的】本研究旨在通过对家蚕Bombyx mori 5龄幼虫精巢和卵巢组织微小RNA (microRNA, miRNA)基因芯片及转录组进行分析,找到参与家蚕性腺发育相关的miRNA分子及可能的靶基因。【方法】采用新一代高通量测序平台对家蚕5龄幼虫精巢和卵巢(分别定义为Test和Control)进行miRNA基因芯片检测及转录组测序分析,根据P＜0.05且log₂(fold change, FC)≥2的标准,通过比较筛选出Test vs Control的差异表达miRNA;根据q≤0.05且|log₂(fold change)|≥1的标准,通过比较筛选出Test vs Control的差异表达基因 (differentially expressed genes, DEGs);随机选取8个上调和12个下调差异表达miRNA,对其表达及其预测的5个靶基因进行qRT-PCR验证;对DEGs以及差异表达miRNA的靶基因进行KEGG通路富集分析。【结果】从精巢和卵巢样本中(Test vs Control)分别鉴定出68个差异表达miRNA和3 991个DEGs,其中上调和下调miRNA分别为36和32个,上调和下调DEGs分别为2 033和1 958个。差异表达miRNA的qRT PCR验证结果均与芯片数据一致。KEGG通路富集分析结果显示DEGs在新陈代谢及核糖体的信号通路显著富集。对差异表达miRNA在DEGs中的可能靶基因进行预测,结果找到了4组表达趋势相反的miRNA与靶基因：分别是bmo-miR-2774a与LOC101745556;bmo-miR-92b与LOC101735954以及bmo-miR-3266与LOC733130和LOC778467;1组表达趋势一致的miRNA与靶基因：bmo-miR-3321与LOC101744895。5个靶基因的qRT-PCR验证结果与转录组测序结果一致。【结论】本研究获得了家蚕5龄幼虫精巢和卵巢转录组及miRNA芯片数据,筛选并验证了4组差异表达和1组一致表达miRNA及潜在靶基因,为探究家蚕精巢和卵巢发育差异奠定了基础。     

flg22诱导的拟南芥转录组分析及芥子油苷代谢途径的变化

flg22是细菌鞭毛蛋白N端的一段保守性极高的区域,能够诱导植物天然的免疫反应,为全面了解植物在受到细菌性病原菌侵害后的系统响应,利用Illumina Hiseq2000对flg22处理和未处理的拟南芥幼苗进行转录组测序。对两组数据进行差异表达分析,共获得1 200个差异表达基因,包括290个下调基因和910个上调基因。对差异表达基因进行GO富集分析和KEGG pathway富集分析,结果显示,flg22处理后,拟南芥在能量代谢、氨基酸代谢及次生代谢产物的生物合成等方面产生了巨大变化。芥子油苷是一类在植物防御病原菌的天然免疫反应中起重要作用的次生代谢产物,因此对芥子油苷代谢途径的变化进行了深入分析。根据测序结果,Flg22处理后吲哚族芥子油苷合成途径的基因表达水平显著提高,而脂肪族芥子油苷代谢途径几乎没有变化,进一步对吲哚族芥子油苷合成途径的关键酶基因进行Real Time RT-PCR的分析,验证了测序结果的正确性,证明了吲哚族芥子油苷在植物抗病防御反应中的重要作用。这为深入理解病原菌诱导的植物防御性反应及吲哚族芥子油苷的抗病机制提供了大量参考数据。     

BbRho5对球孢白僵菌生长速率的作用研究

为阐明BbRho5对球孢白僵菌生防潜能的作用,构建了Bbrho5单基因敲除菌株ΔBbrho5,以野生型菌株WT作为对照,在不同培养基上测定菌落生长速率,并测定了菌株对多菌灵胁迫耐受性及对大蜡螟幼虫体壁侵染能力。进一步获取和分析了ΔBbrho5和WT细胞内基因转录组数据。结果表明,BbRho5蛋白功能缺陷显著抑制球孢白僵菌菌丝生长速率,同时微弱影响其多菌灵胁迫抗逆性及生防能力。相较于WT,ΔBbrho5中具有770个差异表达基因(DEGs),其中上调基因395个,下调基因375个。GO分析显示,ΔBbrho5 VS WT中DEGs主要富集于氧化还原酶活力(oxidoreductase activity)和单加氧酶活力(monooxygenase activity)功能。KEGG通路富集结果显示,DEGs主要富集于氮代谢及多种氨基酸代谢通路。在氮代谢通路中富集到7个功能基因,其中有5个上调,2个下调,说明敲除菌株可能采用增强氮源利用及谷氨酸合成以应对Bbrho5缺陷引起的生长迟缓。以上研究结果揭示了球孢白僵菌中小GTP酶BbRho5对球孢白僵菌生长速率具有重要影响,且氮代谢和氨基酸代谢可能为其重要的响应代谢通路。     

基于转录组的不同火龙果品种抗性差异分析

不同的品种抗性不同,为进一步探究不同火龙果品种之间的抗性差异,为后续火龙果抗性育种提供参考,该研究利用Illumina HiSeq 2000测序平台对'普通白肉'(BR)和'厄瓜多尔黄龙'(EY)两个品种进行转录组测序分析,并参考GO Ontology、KEGG等公共数据库对差异表达基因进行功能分类与富集分析.结果表明...