弥漫大B细胞淋巴瘤1号染色体的基因表达分析

目的:探讨弥漫大B细胞淋巴瘤(Diffuse Large B-Cell Lymphoma,DLBCL)中1号染色体基因表达情况。方法:采用激光显微切割技术分离临床DLBCL病人淋巴结标本中的淋巴细胞,提取淋巴细胞的mRNA并与表达谱芯片杂交,通过信号扫描、处理后获得表达基因杂交信号强度。每基因设11-20对探针。杂交信号与错配探针对比,扣除背景值后,使用Wilcoxon符号秩和检验选取与错配杂交信号有显著差异的基因作为分析结果(P=0.05)。然后随机选取四个检测到的基因,使用PCR方法检验基因芯片结果的可靠性。结果:成功地从快速冷冻保存的DLBCL标本中提取RNA。使用表达谱芯片进行研究,发现了共316条1号染色体编码的基因在DLBCL细胞中表达。根据胞内定位,基因功能和基因所属的代谢通路三种分类方法对所得基因进行分类分析。基因表达密度分析显示DLBCL中1号染色体上的基因表达情况与编码基因分布情况存在统计学差异。结论:使用表达谱芯片研究了DLBCL中1号染色体上的基因表达情况。     

卵巢癌肝转移灶高表达基因SFT2D1的生物信息学分析

目的:研究肿瘤原发灶和转移灶的基因表达差异,并采用生物信息学方法对一条卵巢癌肝转移灶高表达基因SFT2D1进行初步分析。方法:分别将卵巢癌原发灶和肝转移灶组织标本mRNA用Cy3-dUTP和Cy5-dUTP标记后与表达谱芯片杂交,通过信号扫描、处理后获得两者的表达差异基因。并用生物信息学方法对一条无功能研究的新基因SFT2D1进行初步分析,阐明了它的基因结构、染色体定位、编码蛋白质的理化性质、亚细胞定位、蛋白质功能域等信息。并对多物种中的相似性蛋白进行了系统进化分析。结果:表达谱芯片发现了共272条差异表达基因。对新基因SFT2D1的上述性质进行了有效的预测,基本明确了该基因编码蛋白为一内质网跨膜蛋白,可能参与肿瘤转移相关蛋白的合成与加工。结论:表达谱芯片技术是一种研究肿瘤转移基因表达差异的有效的高通量研究方法。通过生物信息学分析,表明新基因SFT2D1是一个有肿瘤转移研究价值的新靶点。     

卵巢癌肝转移灶高表达基因SFT2D1的生物信息学分析

目的：研究肿瘤原发灶和转移灶的基因表达差异,并采用生物信息学方法对一条卵巢癌肝转移灶高表达基因SFT2D1进行初步分析。方法：分别将卵巢癌原发灶和肝转移灶组织标本mRNA用Cy3-dUTP和cy5-dUTP标记后与表达谱芯片杂交,通过信号扫描、处理后获得两者的表达差异基因。并用生物信息学方法对一条无功能研究的新基因SFT2D1进行初步分析,阐明了它的基因姑构、染色体定位、编码蛋白质的理化性质、亚细胞定位、蛋白质功能域等信息。并对多物种中的相似性蛋白进行了系统进化分析。结果：表达谱芯片发现了共272条差异表达基因。对新基因SFT2D1的上述性质进行了有效的预测,基本明确了该基因编码蛋白为一内质网跨膜蛋白,可能参与肿瘤转移相关蛋白的合成与加工。结论：表达谱芯片技术是一种研究肿瘤转移基因表达差异的有效的高通量研究方法。通过生物信息学分析,表明新基因SFT2D1是一个有肿瘤转移研究价值的新靶点。     

滋养层细胞侵袭相关基因表达谱分析

分离收集正常妊娠第8～12周的细胞滋养层细胞和绒毛外滋养层细胞,提取细胞总RNA,制备cRNA探针并与AffymetrixU133plus2.0基因芯片进行杂交,获得正常细胞滋养层细胞和绒毛外滋养层细胞基因表达谱芯片。经计算机分析共筛选到1318个差异表达基因,其中上调基因813个,下调505个。所有差异表达基因按GeneOntoloty功能分类标准进行了功能检索。为胚胎发育早期绒毛外滋养层细胞侵袭的基因调控机制的研究提供了实验基础。     

Affymetrix基因表达谱芯片在新疆维吾尔族与汉族胰腺癌组织样本间差异表达基因筛选中的运用

目的:运用基因表达谱芯片筛选并分析新疆维吾尔族与汉族胰腺癌组织样本间的差异表达基因。方法:收集我院2014年1月至2016年6月间行手术切除的维吾尔族与汉族胰腺导管细胞癌组织并提取总RNA,选取经Nanodrop 2000与Agilent 2100仪器质检合格的样本总RNA采用Affymetrix基因表达谱芯片筛选出差异表达基因并绘制统计图,运用基因本体(GO)分析及信号通路(Pathway)分析对这些差异表达基因的生物信息进行汇总分析。结果:通过基因表达谱芯片分析,新疆维吾尔族与汉族胰腺癌组织样本间共检测到1063个基因存在差异表达,在维吾尔族胰腺癌标本中显著上调表达的基因共281个,差异表达倍数最高的为IGLV1-44基因(差异倍数:9.99)下调表达的基因共782个,差异表达倍数最高的为CPB1基因(差异倍数:33.76);在Gene Ontology数据库中共检索到815个上述差异表达基因具有明确的GO分类,差异表达倍数最高的为CPB1基因(差异倍数:33.76);Pathway分析中共检测到30条信号通路包含有上述差异表达基因,共涉及196个基因,其中以FAK信号通路差异表达基因富集程度最高,差异表达倍数最高的基因为COL11A1基因(差异倍数:5.02)。结论:基因表达谱芯片分析结果显示,在新疆维吾尔族与汉族胰腺癌组织样本间存在大量的差异表达基因,这些基因与胰腺癌的增殖分化、侵袭转移及多药耐药等特性密切相关,且参与了多条生物体内重要信号转导通路的调控。     

新型脂肽类辐射防护剂H6101对小鼠骨髓细胞基因表达谱的影响

目的：脂肽类化合物具有抗辐射活性,通过研究脂肽类辐射防护剂H6101给药后小鼠骨髓细胞基因表达谱的变化,揭示其可能的辐射防护机制。方法：6只ICR雄性小鼠随机分为PBS对照组和H6101给药组,每组3只,给药后1h分离骨髓细胞提取总RNA,经反转录和荧光标记后与小鼠基因表达谱芯片杂交,杂交信号经扫描仪捕获后用Genenomestudio软件进行统计分析。结果：在测定的26766个基因中,给药组与对照组之间的2倍差异表达基因为1738个,其中1041个基因表达上调,697个基因表达下调;TLR信号通路相关基因,炎性细胞因子、造血因子和细胞凋亡相关基因等的转录水平发生明显变化。结论：用基因表达谱芯片筛选出许多不同种类的与H6101辐射防护作用有关的重要基因,这为揭示脂肽分子辐射防护机制提供了研究方向。     

利用表达谱基因芯片筛选溃疡性结肠炎差异表达基因

目的:利用人类全基因组表达谱芯片技术,分析溃疡性结肠炎患者和健康者基因表达谱差异,筛选出溃疡性结肠炎相关基因。方法:采用Trizol法提取8例溃疡性结肠炎患者和8例健康对照者结肠粘膜组织总RNA并纯化,逆转录合成c DNA,利用荧光染料Cy3标记aa UTP,转录合成标记的c RNA,并与Agilent人类全基因组表达谱芯片杂交,扫描荧光信号图像,对芯片原始数据进行归一化处理,利用倍数差异和t检验计算筛选出相关差异表达基因,采用DAVID在线分析系统进行基因的功能注释和关联分析,明确差异基因的生物学功能,并对部分差异表达基因进行实时荧光定量PCR验证。结果:筛查出溃疡性结肠炎结肠粘膜组织差异表达基因4132个,其中上调基因2004个,下调基因2128个。选取6条差异表达基因进行PCR验证,结果有3条基因表达上调,3条基因表达下调,表达趋势与芯片结果一致。结论:溃疡性结肠炎患者与健康对照者基因表达存在明显差异,分析这些差异表达基因有助于我们探索溃疡性结肠炎的发病机制,为疾病的治疗提供理论依据。     

cDNA微阵列技术研究NaHCO3胁迫下星星草基因表达谱

为研究NaHCO3胁迫下星星草基因的表达,分别将荧光染料Cy5-dCTP和Cy3-dCTP用反转录方法标记在处理和对照星星草cDNA上制成探针,并与载有星星草基因的cDNA芯片进行杂交。通过对芯片的杂交信号强度分析来研究基因的表达情况。分析结果显示,共有25个基因在NaHCO3胁迫处理前后差异表达,其中17个基因在NaHCO3胁迫下表达下调,8个基因在NaHCO3胁迫下表达上调。生物信息学分析表明这些基因的功能涉及了信号传导与转录调控、细胞防御、细胞代谢等多个方面。从而获得了NaHCO3胁迫下星星草的基因表达谱,定量地阐述了NaHCO3胁迫和非胁迫条件下星星草基因的差异表达情况。     

ABI 1700芯片分析系统在基因差异表达研究中的应用

应用化学发光法标记技术分别对正常和临床慢性髓细胞性白血病（chronic myelogenous leukemia,CML）病人骨髓单个核细胞的RNA进行标记,然后与ABI的人全基因组表达谱芯片杂交,对于杂交后所得到的荧光信号数据,应用1700芯片分析系统对其进行生物信息学分析.实验结果表明,ABI1700芯片分析系统可以对基因芯片杂交后得到的差异表达基因进行疾病学分类和生物功能分类分析,同时还发现与CML相关的差异表达基因75个,因此ABI1700芯片分析系统在芯片研究领域中具有重要的应用价值.     

总RNA和mRNA来源的探针与cDNA芯片杂交的差异研究

提取BEP2D细胞的总RNA并按两种方式进行cDNA芯片探针的标记,一种是将100μg BEP2D细胞的总RNA利用逆转录法直接标记成荧光探针,另一种是先从100μg BEP2D细胞的总RNA中分离出mRNA,然后再标记成荧光探针。将两份标记好的探针同时与含有230个基因的cDNA芯片杂交。杂交后的芯片经Axon4100B扫描仪扫描,发现两种方式标记探针的一致性为93．04％,并且mRNA来源探针杂交后的荧光信号值较总RNA的弱。探讨了这两种方法标记探针在基因芯片表达谱研究中的差异性,目的是为利用这两种方法标记探针进行基因表达谱研究提供一些依据。     

间质表皮转化因子通过PI3K/AKT/MMPs信号通路促进肺腺癌细胞的侵袭转移

间质表皮转化因子（mesenchymal to epithelial transition factor,MET）在多种癌症中异常表达,影响肿瘤的发生发展,但MET影响肺腺癌的分子机制并不明确。本研究收集3例淋巴结转移的肺腺癌组织（lung adenocarcinoma tissues,LAD）和3例无淋巴结转移的肺腺癌组织,用于微阵列基因芯片分析。结果显示,与无淋巴结转移的肺腺癌组织相比,有淋巴结转移的肺腺癌组织中有1 314条mRNAs表达上调,400条mRNAs表达下调。其中,MET在有淋巴结转移的肺腺癌组织中表达显著升高。随机选取8个差异表达基因,对收集的潍坊医学院附属医院2014年2月至2017年2月间有淋巴结转移的肺腺癌组织和无淋巴结转移的肺腺癌组织各30例通过qRT -PCR实验进行微阵列基因芯片验证。结果显示,所选mRNAs的表达与微阵列结果一致,验证了微阵列基因芯片结果的准确性。通过Western 印迹进一步检测MET的表达。结果显示,相较于正常肺上皮细胞,肺腺癌细胞中MET的表达显著升高。利用质粒转染,敲减肺腺癌细胞A549中的MET,Transwell侵袭实验结果显示,敲减MET后肺腺癌细胞的侵袭能力明显降低;对各细胞组进行EGF（epidermal growth factor）处理并检测PI3K/AKT/MMPs信号通路,Western 印迹检测结果显示,敲减MET后,肺腺癌细胞中基质金属蛋白酶-2（matrix metalloproteinase 2,MMP-2）和MMP-9的表达显著下降, AKT的磷酸化水平也显著下降。上述结果表明,MET可通过激活PI3K/AKT信号通路进而增加MMPs的表达促进肺腺癌的侵袭转移。     

Genomic profiling using array comparative genomic hybridization define distinct subtypes of diffuse large b-cell lymphoma: a review of the literature

ABSTRACT: Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin Lymphoma comprising of greater than 30 % of adult non-Hodgkin Lymphomas. DLBCL represents a diverse set of lymphomas, defined as diffuse proliferation of large B lymphoid cells. Numerous cytogenetic studies including karyotypes and fluorescent in situ hybridization (FISH), as well as morphological, biological, clinical, microarray and sequencing technologies have attempted to categorize DLBCL into morphological variants, molecular and immunophenotypic subgroups, as well as distinct disease entities. Despite such efforts, most lymphoma remains undistinguishable and falls into DLBCL, not otherwise specified (DLBCL-NOS). The advent of microarray-based studies (chromosome, RNA, gene expression, etc) has provided a plethora of high-resolution data that could potentially facilitate the finer classification of DLBCL. This review covers the microarray data currently published for DLBCL. We will focus on these types of data; 1) array based CGH; 2) classical CGH; and 3) gene expression profiling studies. The aims of this review were three-fold: (1) to catalog chromosome loci that are present in at least 20 % or more of distinct DLBCL subtypes; a detailed list of gains and losses for different subtypes was generated in a table form to illustrate specific chromosome loci affected in selected subtypes; (2) to determine common and distinct copy number alterations among the different subtypes and based on this information, characteristic and similar chromosome loci for the different subtypes were depicted in two separate chromosome ideograms; and, (3) to list re-classified subtypes and those that remained indistinguishable after review of the microarray data. To the best of our knowledge, this is the first effort to compile and review available literatures on microarray analysis data and their practical utility in classifying DLBCL subtypes. Although conventional cytogenetic methods such as Karyotypes and FISH have played a major role in classification schemes of lymphomas, better classification models are clearly needed to further understanding the biology, disease outcome and therapeutic management of DLBCL. In summary, microarray data reviewed here can provide better subtype specific classifications models for DLBCL.     

应用cDNA微阵列技术研究EB病毒LMP1介导的鼻咽癌中转移相关基因的表达

探讨EB病毒基因组编码的癌蛋白LMP1对鼻咽癌细胞中转移相关基因表达的影响.采用蛋白质印迹法检测在强力霉素(Dox)诱导下,鼻咽癌细胞系pTet-on-LMP1 HNE2(L7细胞)中LMP1表达的时效和量效关系.应用cDNA微阵列技术建立诱导性LMP1介导鼻咽癌细胞中转移相关基因差异表达谱;运用RT-PCR验证cDNA微阵列筛选差异基因表达的可靠性.与LMP1不表达的L7细胞比较,LMP1高表达的L7细胞中7个基因的表达显著上调,12个基因的表达显著下调.随机选择其中4个基因进行RT-PCR,结果显示,这些基因表达阳性,且与微阵列中的变化趋势一致.LMP1可能通过激活和/或抑制一些转移相关基因的表达而参与鼻咽癌转移过程.     

Autocrine regulation of IL-12 receptor expression is independent of secondary IFN-gamma secretion and not restricted to T and NK cells.

The biological response to IL-12 is mediated through specific binding to a high affinity receptor complex composed of at least two subunits (designated IL-12Rbeta1 and IL-12Rbeta2) that are expressed on NK cells and activated T cells. The selective loss of IL-12Rbeta2 expression during Th2 T cell differentiation suggests that regulation of this receptor component may govern IL-12 responsiveness. In murine assays, down-regulation of IL-12Rbeta2 expression can be prevented by treatment with IFN-gamma, indicating that receptor expression and hence IL-12 responsiveness may be regulated, at least in part, by the local cytokine milieu. In this study, we report that cellular expression of both IL-12Rbeta1 and beta2 mRNA is increased in the lymph nodes of naive mice following systemic administration of murine rIL-12 (rmIL-12). Changes in IL-12R mRNA were associated with increased IFN-gamma secretion following ex vivo activation of lymph node cells with rmIL-12, indicating the presence of a functional receptor complex. Expression of IL-12R mRNA was not restricted to lymph node T cells, and its autocrine regulation was independent of secondary IFN-gamma secretion. Data from fractionated lymph node cells as well as rmIL-12-treated B cell-deficient mice suggest that IL-12-responsive B cells may represent an alternative cellular source for IFN-gamma production. However, the strength of the biological response to rmIL-12 is not governed solely by receptor expression, as rmIL-12-induced IFN-gamma secretion from cultured lymph node cells is accessory cell dependent and can be partially blocked by inhibition of B7 costimulation.     

3′-End Sequencing for Expression Quantification (3SEQ) from Archival Tumor Samples

Gene expression microarrays are the most widely used technique for genome-wide expression profiling. However, microarrays do not perform well on formalin fixed paraffin embedded tissue (FFPET). Consequently, microarrays cannot be effectively utilized to perform gene expression profiling on the vast majority of archival tumor samples. To address this limitation of gene expression microarrays, we designed a novel procedure (3′-end sequencing for expression quantification (3SEQ)) for gene expression profiling from FFPET using next-generation sequencing. We performed gene expression profiling by 3SEQ and microarray on both frozen tissue and FFPET from two soft tissue tumors (desmoid type fibromatosis (DTF) and solitary fibrous tumor (SFT)) (total n = 23 samples, which were each profiled by at least one of the four platform-tissue preparation combinations). Analysis of 3SEQ data revealed many genes differentially expressed between the tumor types (FDR<0.01) on both the frozen tissue (∼9.6K genes) and FFPET (∼8.1K genes). Analysis of microarray data from frozen tissue revealed fewer differentially expressed genes (∼4.64K), and analysis of microarray data on FFPET revealed very few (69) differentially expressed genes. Functional gene set analysis of 3SEQ data from both frozen tissue and FFPET identified biological pathways known to be important in DTF and SFT pathogenesis and suggested several additional candidate oncogenic pathways in these tumors. These findings demonstrate that 3SEQ is an effective technique for gene expression profiling from archival tumor samples and may facilitate significant advances in translational cancer research.