COPD 差异表达基因的生物信息学分析及在LUSC样本中的表达

为确定慢性阻塞性肺病(COPD)的分子标记物及COPD与肺鳞状细胞癌(LUSC)共存的差异表达基因,探寻COPD合并肺癌的预测因子,发现新的治疗靶点。本研究采用生物信息学方法,从GEO数据库中筛选3套基因芯片数据集,挖掘COPD患者小气道上皮细胞(SAEC)的差异表达基因(DEG)以及潜在的生物标记物,并通过基因本体(GO)、京都基因与基因组百科全书(KEGG)富集分析预测DEGs的功能及参与的代谢途径。继而对DEGs构建PPI网络,使用Cytoscape软件筛选子模块和Hub基因,并将Hub基因通过TCGA数据库分析其在LUSC中的差异表达情况及差异基因间的相关性。结果共获得52个上调基因和24个下调基因,代谢通路主要集中在细胞色素P450对外源物质的代谢、化学致癌、花生四烯酸代谢及甲状腺激素合成四条途径上,通过Cytoscape软件从PPI网络中筛选得到2个功能模块和10个Hub基因,进一步验证发现其中5个基因在TCGA数据库中的LUSC样本中同样差异表达。由此推测SPP1、ALDH3A1、SPRR3、KRT6A和SPRR1B 可能为COPD 分子标记物及COPD与LUSC共存的DEGs,从而为研究COPD和LUSC的发病机制及二者潜在关系奠定良好的基础。     

丹参SmHB12基因生物信息学及表达分析

植物同源异型域-亮氨酸拉链Ⅰ(homeodomain-leucine zipperⅠ, HD-ZipⅠ)转录因子在响应非生物胁迫方面发挥了重要作用。本研究根据干旱胁迫下丹参(Salvia miltiorrhiza Bunge)幼苗根转录组数据,克隆获得丹参HB12(SmHB12)基因片段并进行测序验证,其开放阅读框长度603bp,编码200个氨基酸。蛋白理化性质分析表明蛋白质相对分子量为22.95 kDa,理论等电点为5.42,含有丝氨酸、苏氨酸和酪氨酸磷酸化位点。亚细胞定位结果表明SmHB12蛋白定位于细胞核。实时荧光定量PCR结果表明SmHB12基因在不同组织中均有表达,花中表达量最高,其次是茎和叶,根中最低,并受脱落酸(ABA)和聚乙二醇-6000 (PEG-6000)胁迫强烈诱导。上述结果为后续开展SmHB12基因的功能研究提供理论依据。     

系统性硬化症关节损害的临床表现(附64例分析)

系统性硬化症(SSC)是以局限或弥漫性皮肤内脏器官结缔组织纤维化、硬化及萎缩为特点的全身性结缔组织病,不仅累及血管、肺、消化道等,也累及全身关节,尤其小关节。关节受累虽是SSC表现形式之一,但相关报告甚少。为了提高对其关节损害的认识,我们对1992年以来收治的系统性硬化症     

脱发相关差异表达基因的生物信息学分析

利用生物信息学方法分析脱发相关差异表达基因,有望帮助了解脱发发生发展的分子机制。本研究从NCBI的子数据库GEO中选择基因表达谱GSE45512和GSE45513数据集,利用R语言limma工具包,筛选出两个物种斑秃样本与正常样本的共同显著差异表达基因。对这部分基因进行功能注释和蛋白互作网络分析,同时对全部差异表达基因进行基因集富集分析。结果发现,人头皮斑秃样本共筛选出225个差异表达基因;C3H/HeJ小鼠自发斑秃皮肤样本共筛选出337个差异表达基因;两个物种的共同显著差异表达基因有23个。GO功能富集分析和蛋白互作网络分析显示,这部分差异基因显著富集于免疫相关功能,并且彼此间存在蛋白互作关系。基因集富集分析显示两个物种的差异基因都能显著富集到趋化因子信号通路、细胞因子受体相互作用、金葡菌感染及抗原加工与呈递通路;而且人的下调差异基因不仅映射到了人类表型数据库的脱发表型,也映射到皮肤附属物病理相关表型。综上所述,本研究通过生物信息方法分析脱发皮肤组织与正常皮肤组织的差异表达基因,最终筛选出23个在人和小鼠中共同存在的显著差异表达基因;此外,分析发现脱发与免疫过程及皮肤附属物病变密切相关,这些结果为脱发的诊断和治疗提供了新思路。     

系统性红斑狼疮患者PBMCs差异表达基因m6A修饰的生物信息学分析

采用生物信息学方法,通过公共数据库,分析系统性红斑狼疮(SLE)N6-甲基腺苷(m6A)修饰谱系。基于公共数据建立SLE m6A传修饰表达谱,分析m6A相关的DEGs在SLE中的潜在作用;利用ADEx数据库获取DEGs,利用m6A GEO数据集(GSE173312),分析获取SLE m6A修饰谱;用DAVID对m6A DEGs进行GO/Pathway注释分析。在SLE患者中,m6A组分写入器RBM15B和擦除酶FTO的表达下调,阅读器IGFBP3的表达上调。SLE m6A修饰谱包括181个基因,其中123个基因的表达上调,58个基因的表达下调。这些基因主要参与了细胞凋亡和细胞周期通路、I型干扰素信号通路,DNA复制和B细胞MHC II分子调节等生物学过程。SLE患者的PBMCs细胞m6A修饰存在异常,并可能参与疾病的发生和发展。     

强直性脊柱炎差异表达基因的生物信息学分析

目的探讨强直性脊柱炎(AS)患者差异表达基因,并基于差异基因探讨强直性脊柱炎发病相关的可能生物学过程和信号通路。方法检索基因表达谱数据库(GEO)并筛选AS相关基因表达谱数据集。应用GEO在线分析功能GEO2R分析AS组和正常对照组的差异表达基因,用Cytoscape软件clueGO插件进行基因本体论和京都基因与基因组百科全书分析,采用String蛋白-蛋白相互作用(PPI)数据库分析差异表达基因编码蛋白间的相互作用;应用Cytoscape绘制蛋白相互作用网络图,并软件筛选信号通路关键基因分析。结果选取AS患者全血表达数据集GSE25101为研究对象,分析获得差异表达基因72个。72个差异表达基因分子功能主要为参与高迁移率族盒染色体蛋白1(HMGB1)转导机制;生物学过程主要富集于巨噬细胞迁移、骨髓细胞凋亡过程、线粒体呼吸链复合体装配、ATP合成偶联电子传输、线粒体ATP合成耦合电子输运等;细胞成分主要富集于呼吸链复合体、线粒体呼吸体等。信号通路富集于氧化磷酸化信号通路和帕金森综合征相关信号通路。PPI网络经过cytohubba插件筛选,ATP5J、NDUFS4、UQCRB、UQCRH、NDUFB3、COX7B、LSM3、ATP5EP2、ENY2、PSMA4被筛选为网络中的核心基因。结论通过生物信息学方法进行预测了AS的潜在机制,并筛选出10个潜在的与AS相关的重要分子,其中氧化磷酸化可能在AS发病机制中发挥了重要的作用。     

宫颈癌差异表达基因筛选及功能分析

目的:筛选参与宫颈癌发生、发展的关键基因,为临床诊疗提供新的靶点。方法:在NCBI-GEO数据库中筛选多组宫颈癌基因表达检测数据集,利用GEO2R分析工具筛选各组数据集的差异表达基因;应用R分析筛选不同数据集之间共有的差异表达基因;利用DAVID在线分析对差异表达基因进行功能聚类和通路分析;利用STRING分析差异表达基因编码蛋白之间的相互作用关系。结果:共选择6组表达数据集,筛选得到59个差异表达基因(宫颈癌组织vs正常组织),表达差异至少达2倍,其中包含50个表达上调基因及9个表达下调基因。这些差异表达基因参与细胞周期、DNA复制、细胞分裂等生物进程。蛋白互作分析表明,这些差异表达基因多数存在相互作用。结论:利用生物信息学方法对不同来源的基因检测数据进行整合分析,有助于更准确的筛选对宫颈癌发生、发展过程具有重要作用的关键基因,本文筛选的宫颈癌差异基因为进一步研究宫颈癌发生、发展的分子机制及临床诊疗提供思路。     

差异表达基因分析

细胞在增殖,分化及对外界刺激反应过程中,可伴随某些特殊基因的表达,利用这一特性,通过比较细胞在不同状态及不同分化阶段基因表达的差异,可以发现与细胞分化／生长相关的基因,近年来国外学者发展了几种能有效进行差异表达基因分析的技术和方法,包括差异显示PCR,代表性差异分析,抑制性消减杂交及DNA微阵列等。本文主要对目前主要技术方法作一综述。     

斑马鱼急性无机砷暴露后肝脏差异表达基因的生物信息学分析

砷是一种致癌物,是心血管、外周血管疾病、神经疾病、糖尿病和各种癌症的致病因素。目的:利用GO数据库和KEGG数据库等生物信息学方法对GEO数据库数据中的差异表达基因进行评价。利用生物信息学分析软件对差异基因进行功能富集、功能注释分析和生存分析。利用Cytoscape上的蛋白-蛋白相互作用网络(Protein-protein interaction network, PPI)软件对179个差异基因进行筛选和分析。结果发现126个基因作用于蛋白靶点,其中有10个基因为关键基因分别为:PSMB3、HSP701、HSPE1、STIP1、HSPD1、HSP70、DNAJB1B、HSP90AA1.1、HSPA9H和TCP1。核心基因主要作用于内质网中的蛋白质加工通路。这可能会为砷对肝脏损伤的潜在生物标志物和生物学机制提供新的思路。     

肾透明细胞癌Caki-1细胞系差异表达基因的生物信息学分析

目的比较肾透明细胞癌Caki-1细胞系与正常肾上皮细胞系ASE-5063中的差异表达基因（DEGs）,寻找潜在的肾透明细胞癌特异性分子标志物。 方法利用GEO数据库自带的GEO2R在线分析工具分析基因芯片GSE78179,将筛选出的DEGs分别导入Metascape、STRING以及Cytoscape进行综合分析并筛选出核心基因。最后使用FunRich等软件对筛选出的核心基因进行GO和KEGG富集分析。 结果共筛选出562个DEGs,其中上调基因345个,下调基因217个。进一步使用MCODE筛选出36个关键基因,GO功能分析发现这些基因与细胞粘附分子活性、趋化因子活性、细胞通讯和信号转导等密切相关;KEGG通路富集结果则表明差异基因主要集中在趋化因子信号通路、TNF信号通路以及NF-κB信号通路等多种与肿瘤相关的通路上。 结论运用生物信息学方法筛选出肾透明细胞癌Caki-1细胞系中DEGs,其中数个核心基因广泛参与多种肿瘤的病理进程,但尚未在肾透明细胞癌有相关研究报道,提示其可能是治疗肾透明细胞癌的潜在靶点。     

Impaired skeletal muscle microcirculation in systemic sclerosis

Introduction

Muscle symptoms in systemic sclerosis (SSc) may originate from altered skeletal muscle microcirculation, which can be investigated by means of blood oxygenation level dependent (BOLD) magnetic resonance imaging (MRI).

Methods

After ethics committee approval and written consent, 11 consecutive SSc patients (5 men, mean age 52.6 years, mean SSc disease duration 5.4 years) and 12 healthy volunteers (4 men, mean age 45.1 years) were included. Subjects with peripheral arterial occlusive disease were excluded. BOLD MRI was performed on calf muscles during cuff-induced ischemia and reactive hyperemia, using a 3-T whole-body scanner (Verio, Siemens, Erlangen, Germany) and fat-suppressed single-short multi-echo echo planar imaging (EPI) with four different effective echo times. Muscle BOLD signal time courses were obtained for gastrocnemius and soleus muscles: minimal hemoglobin oxygen saturation (T2*_min) and maximal T2* values (T2*_max), time to T2* peak (TTP), and slopes of oxygen normalization after T2* peaking.

Results

The vast majority of SSc patients lacked skeletal muscle atrophy, weakness or serum creatine kinase elevation. Nevertheless, more intense oxygen desaturation during ischemia was observed in calf muscles of SSc patients (mean T2*_min -15.0%), compared with controls (-9.1%, P = 0.02). SSc patients also had impaired oxygenation during hyperemia (median T2*_max 9.2% vs. 20.1%, respectively, P = 0.007). The slope of muscle oxygen normalization was significantly less steep and prolonged (TTP) in SSc patients (P<0.001 for both). Similar differences were found at a separate analysis of gastrocnemius and soleus muscles, with most pronounced impairment in the gastrocnemius.

Conclusions

BOLD MRI demonstrates a significant impairment of skeletal muscle microcirculation in SSc.     

Evaluation of interleukin 13 polymorphisms in systemic sclerosis

Systemic sclerosis (SSc) is a multisystem disease of unknown etiology. It is characterized by excessive cutaneous and visceral fibrosis, damage to small blood vessels, and production of autoantibodies. Interleukin-13 (IL-13) has been shown to be involved in abnormal fibrosis in other diseases. Therefore, we have evaluated its possible involvement in SSc. We analyzed four IL13 gene polymorphisms, rs1800925 (IL13-1055), rs20541 (Arg130Gln), rs847, and rs2243204 in 107 unrelated SSc patients (40 patients having diffuse cutaneous form and 67 patients having limited cutaneous form) and in 170 controls. All subjects were Caucasians. In the total patient population and in the diffuse cutaneous subset, we observed an association between two IL13 polymorphisms, IL13 rs1800925 (IL13-1055), and IL13 rs2243204, and disease (p=0.03–0.04). The IL13 rs2243204T allele was more common in SSc patients (p=0.01, OR=2.3 CI 1.21–4.38) and in the diffuse cutaneous form (p=0.01, OR=2.95, CI 1.35–6.49) than in control subjects. Our result supports the suggestion that polymorphisms in IL13 are associated to SSc and skin fibrosis process. However, further studies on larger and independent population and functional analyses are needed to confirm these findings.     

The risk of cancer development in systemic sclerosis: A meta-analysis

Objectives: Systemic sclerosis is a multi-system disorder of connective tissue characterized by Raynaud's phenomenon and fibrosis of various organs. The risk of development of cancer in systemic sclerosis (SSc) has been extensively investigated with inconclusive results. To shed some light on the controversy, we conducted a meta-analysis of all published articles linking SSc to the risk of cancer development. Methods: Relevant electronic databases were searched for English-language studies characterizing the association of cancers in patients with SSc. Standardized incidence rate (SIR) with its 95% confidence interval (CI) of each study was combined using a fixed/random effect model. Results: A total of seven papers including 7183 SSc patients were identified, of which 7 reported the SIR for lung cancer, 4 for non-Hodgkin's lymphoma (NHL) and 4 for hematopoietic cancer and 7 for breast cancer. Compared with the general population, the combined SIR was 3.14 (95% CI: 2.02–4.89), 2.68 (95% CI: 1.58–4.56), 2.57 (95% CI: 1.79–3.68) and 1.09 (95% CI: 0.86–1.38), respectively. Significant heterogeneity was observed in lung cancer group (Q = 26.13, P < 0.001, I² = 77%). Potential publication bias was absent. Conclusions: This present meta-analysis demonstrated an increased risk of lung, non-Hodgkin's lymphoma and hematopoietic cancers among patients with SSc, but not for breast cancer. However, some of the available data were several decades old, and future studies taking new treatment strategies into account are required.     

葡萄BRX基因家族生物信息学分析

BRX基因家族是一类植物特有的转录因子家族,在拟南芥中参与调节根细胞的增殖与伸长。利用生物信息学方法对葡萄基因组中存在的BRX基因家族进行了电子克隆,并对其进行了基因组的定位、蛋白质的结构、理化性质、二级结构及亚细胞定位的预测与分析,并对其与其它植物进化的亲缘关系进行了研究。基因组定位结果发现:葡萄基因组中6个BRX基因集中分布在3条染色体上,其中Vv BRX1和Vv BRX2分布在第2条染色体上,Vv BRX3和Vv BRX4分布在第9条染色体上,Vv BRX5和Vv BRX6分布在第11条染色体上;编码蛋白的氨基酸数目为360~560个,Vv BRX5的相对分子量(61 884.4)和理论等电点(9.38)均最大,而Vv BRX1的相对分子量(40 239.1)和理论等电点(6.23)均最小。研究显示,不同成员间氨基酸数目、氨基酸序列间存在一定的差异,但都为疏水性蛋白;α-螺旋和无规则卷曲为6个BRX氨基酸序列的主要组成部分;均不存在跨膜域及信号肽。基因结构分析表明,6个BRX基因都含有外显子和内含子结构。亚细胞定位分析表明:6个Vv BRX基因均定位于细胞核。系统进化分析结果表明,Vv BRX1、Vv BRX2基因与胡杨的亲缘关系最近,相似性达96%;Vv BRX3、Vv BRX4与蓖麻、麻疯树、柑橘、可可、大豆聚为一类,说明其进化关系较近;Vv BRX5与其它Vv BRX基因明显分开;Vv BRX6基因与莲的亲缘关系最近。试验结果为葡萄BRX基因家族的克隆和功能分析奠定了一定的研究基础。     

DNA methylation similarities in genes of black South Africans with systemic lupus erythematosus and systemic sclerosis

Background

Systemic lupus erythematosus (SLE) and systemic sclerosis (SSc) are systemic autoimmune connective tissue diseases that share overlapping clinico-pathological features. It is highly probable that there is an overlap in epigenetic landscapes of both diseases. This study aimed to identify similarities in DNA methylation changes in genes involved in SLE and SSc. Global DNA methylation and twelve genes selected on the basis of their involvement in inflammation, autoimmunity and/or fibrosis were analyzed using PCR arrays in three groups, each of 30 Black South Africans with SLE and SSc, plus 40 healthy control subjects.

Results

Global methylation in both diseases was significantly lower (<25 %) than in healthy subjects (>30 %, p = 0.0000001). In comparison to healthy controls, a similar gene-specific methylation pattern was observed in both SLE and SSc. Three genes, namely; PRF1, ITGAL and FOXP3 were consistently hypermethylated while CDKN2A and CD70 were hypomethylated in both diseases. The other genes (SOCS1, CTGF, THY1, CXCR4, MT1-G, FLI1, and DNMT1) were generally hypomethylated in SLE whereas they were neither hyper- nor hypo-methylated in SSc.

Conclusions

SSc and SLE patients have a higher global hypomethylation than healthy subjects with specific genes being hypomethylated and others hypermethylated. The majority of genes studied were hypomethylated in SLE compared to SSc. In addition to the commonly known hypomethylated genes in SLE and SSc, there are other hypomethylated genes (such as MT-1G and THY-1) that have not previously been investigated in SLE and SSc though are known to be hypermethylated in cancer.     

Regulatory T cells (CD4CD25FoxP3) expansion in systemic sclerosis correlates with disease activity and severity

Background

The role and function of T regulatory (Treg) cells have not been fully investigated in patients with systemic sclerosis (SSc).

Methods

Ten patients with SSc donated 20 ml of peripheral blood. Activity (Valentini) and severity (Medsger) scores for SSc were calculated for all patients. Healthy volunteers (controls) were matched to each patient by gender and age. CD4⁺ cells were separated using the MACS system. The numbers of Treg cells were estimated by flow cytometry after staining for CD4, CD25, and FoxP3 and calculated as patient-to-control ratio separately for each experiment. Correlations with activity and severity indices of the disease were performed. Twenty-four-hour production of TGF-β and IL-10 by activated CD4⁺ cells was measured by ELISA in culture supernatants.

Results

The numbers of Treg cells, expressed as patient-to-control ratio, correlated significantly with both activity and severity indices (r = 0.71, p = 0.034 and r = 0.67, p = 0.044, respectively). ELISA-measured production of TGF-β and IL-10 by CD4⁺ cells was similar in patients and controls.

Conclusions

Increased numbers of Treg cells are present in patients with SSc, correlating with activity and severity of the disease. This expansion of Treg cells was not accompanied, however, by heightened TGF-β or IL-10 production. Further studies to elaborate the causes and functional significance of Treg cell expansion in SSc are needed.