核小体定位研究进展

核小体定位在诸如转录调控、DNA复制和修复等多种细胞过程中起着重要作用。基因组上核小体位置的确定涉及DNA、转录因子、组蛋白修饰酶和染色质重塑复合体之间的相互作用。核小体定位、组蛋白修饰、染色质重塑等问题已成为目前遗传学研究的热点——表观遗传学——的重要研究内容。文章从核小体定位基本概念、核小体定位与基因表达调控的关系、核小体定位实验研究和理论预测工作等几个方面总结了核小体定位的最新研究进展。     

两种模式生物核小体定位比较研究

在对两种模式生物酵母与果蝇胚胎期核小体定位进行研究时,发现不同物种间以及同一物种中不同表达模式基因上的核小体分布呈现出差显著异性。在总体上,转录起始位点附近的酵母核小体NFR区域比果蝇的NFR短。经基因中心对齐后,酵母与果蝇胚胎期沉默型基因的核小体缺失区域的两个边界中间处共同呈现了一个明确有着均匀间隔的核小体数n,且随着基因长度L的变长其周期性特性逐渐变模糊,但果蝇的图谱表现的更为复杂。结果表明,从单细胞酵母生物到多细胞果蝇生物间基因组的进化过程中,核小体组织的演化既有变异性,也具有保守性。     

基于DNA变形能的核小体定位预测方法研究进展

真核细胞中,作为染色质基本结构单元的核小体参与调控基因的转录、DNA复制、重组以及RNA剪接等诸多生物学过程。阐明核小体定位机制并准确预测核小体在染色体上的位置对解读染色质结构与功能有重要生物学意义。在过去30多年时间里,研究人员发展了多种预测核小体位置的方法。最理想的方法应考虑DNA序列、组蛋白修饰和染色质重塑等影响核小体定位的诸多因素,然而现实中,捕捉主要因素的模型也往往具有很高的鲁棒性和实用价值。DNA序列偏好性是在全基因组尺度上影响核小体定位的最重要因素之一,因此基于DNA序列的核小体定位预测方法也最常见。这种方法可大致分为两类,即基于DNA序列信息的生物信息学模型和基于DNA变形能的生物物理学模型。本文重点介绍生物物理学模型近些年取得的主要进展。     

基于遗传算法酵母核小体定位性质预测

在DNA序列上,定位模糊的特殊核小体与定位良好的普通核小体同时存在于染色体区域内,但由于二者的化学性质差异不明显,区分较为困难。本文针对实验核小体在真核基因转录起始位点周围的分布规律和保守性建立了一个核小体分布模型,并在前人所做的预测核小体位置的工作基础上,利用遗传算法寻找模型上不同性质核小体的分布中心,构建核小体定位性质判别准则,最终确定了转录起始位点上、下游定位良好和模糊核小体的位置。     

核小体定位模式及其与DNA甲基化位点分布的关系

核小体定位是指DNA双螺旋相对于组蛋白八联体的位置.核小体定位通过限制蛋白结合位点参与基因转录调控.本文利用实验检测的人类CD4+ T细胞核小体定位数据,研究了核小体定位在转录因子结合位点(TFBS)和转录起始位点(TSS)附近的分布模式,并分析了在TFBS和TSS周围,核小体定位与DNA甲基化之间的关系.结果表明,在休眠和激活的人类CD4+ T细胞中,部分TFBS和TSS周围的核小体定位在动态改变,即在定位和缺失两种状态之间切换.在TFBS周围,核小体定位和DNA甲基化存在一种互补模式,核小体定位与DNA低甲基化相联系;而在TSS周围,两者呈现同步模式,DNA高甲基化伴随高核小体水平.而且,在TFBS和TSS周围,DNA甲基化位点的分布呈周期模式.CD4+ T细胞被激活时,较少的转录因子启动了较多的基因.     

核小体定位与RNA剪接

根据核小体定位序列和缺失序列的碱基分布特征,应用多样性增量二次判别方法(IDQD)构建模型对这两类序列进行了区分,受试者操作特性曲线下的面积达到了0.958．应用这一模型研究了核小体在人类基因组剪接位点(GT/AG)邻近序列中的分布方式,发现外显子所对应的DNA序列通常倾向参与核小体的形成,并且由它所转录的RNA统计上具有较强的刚性,而剪接位点及其邻近的内含子对应的DNA序列则避免参与核小体的形成,所转录的RNA统计上具有较强的柔性．进一步还发现,DNA序列的核小体定位/缺失和RNA的刚性/柔性具有统计相关性,为从机制上解释为何前体RNA剪接事件与DNA序列中的核小体定位信息有关提供了依据．     

核小体定位的转录调控功能研究进展

核小体是真核生物染色质的基本组成单位,组蛋白八聚体在DNA 双螺旋上精确位置称为核小体定位．核小体定位已被证实在基因转录调控、DNA复制与修复、调控进化等过程中扮演着重要的角色．随着染色质免疫共沉淀-芯片(ChIP-chip)与染色质免疫共沉淀-测序(ChIP-seq)等高通量技术的出现,已测定了多种模式生物全基因组核小体定位图谱,掀起了一股核小体定位及其功能的研究热潮,并取得了一定的成果．本文介绍了核小体定位的概念,总结了核小体在启动子与编码区域内定位的基本模式．在此基础上,综述了核小体定位在转录起始、转录延伸、基因表达模式多样化以及可变剪接等方面的功能研究进展．     

人类基因组核小体定位研究进展

近些年来,人类健康和疾病一直都是研究者们关注的焦点,因此表观遗传学研究也成为了研究热门。在对表观遗传学进行研究的过程中,研究者们发现核小体定位、组蛋白修饰和染色质重塑等方面的问题已经成为了表观遗传学研究中的重要研究内容。因此,在对酵母、果蝇和线虫等低等生物的核小体定位进行大量研究并取得一定的成果后,研究者们开始将核小体定位的研究对象放到了人类上。本综述介绍了核小体定位的基本概念,总结了近几年来以人类为研究对象的核小体定位的理论研究进展。     

酵母基因组中核小体偏好展列的识别

应用多样性增量结合二次判别分析（Increment of Diversity with Quadratic Discriminant analysis, IDQD）方法,对酵母基因组中的核小体强/弱偏好序列进行了识别。10交叉检验的预测成功率超过了97％,受试者操作特性（receiver operating characteristic,ROC）曲线下面积达到了0．99,预测成功率高于现有SVM算法。最后利用构建好的分类器对酵母基因组中三类包含TATA盒基因的起始密码子ATC上游400nt下游100nt区域进行了分析。结果表明,IDQD算法有能力应用于基因组中核小体序列的识别。     

酿酒酵母核小体定位理论模型的体外实验验证

核小体定位对真核生物基因表达调控发挥着重要作用。前期基于核小体核心及连接区域的k-mer频次分布偏好性,构建了位置权重矩阵算法,并在酿酒酵母基因组内较好地预测了核小体占据率。利用该理论模型,以1 bp碱基为步长、147 bp碱基为窗口,用该算法计算了酵母1号、3号、14号染色体上核小体形成能力强、中、弱各3条长度为147 bp的DNA序列,将这些片段克隆到重组质粒中,大量扩增回收9条标记biotin分子的目的序列。同时分别表达纯化了组蛋白H2A、H2B、H3和H4,复性后装配形成组蛋白八聚体结构。利用盐透析方法将9条DNA序列在体外组装形成核小体结构,经biotin标记检测后计算了反应过程的吉布斯自由能,对比了9条目的序列形成核小体的亲和力大小。研究发现,9条序列中有5条序列与理论预测完全符合,4条序列与理论预测不完全一致。实验结果与该算法预测的核小体定位结果基本一致,表明该理论模型能够有效预测酿酒酵母基因组核小体占据水平。     

Sequence Signatures of Nucleosome Positioning in Caenorhabditis elegans

Our recent investigation in the protist Trichomonas vaginalis suggested a DNA sequence periodicity with a unit length of 120.9 nt, which represents a sequence signature for nucleosome positioning. We now extended our observation in higher eukaryotes and identified a similar periodicity of 175 nt in length in Caenorhabditis elegans. In the process of defining the sequence compositional characteristics, we found that the 10.5-nt periodicity, the sequence signature of DNA double helix, may not be sufficient for cross-nucleosome positioning but provides essential guiding rails to facilitate positioning. We further dissected nucleosome-protected sequences and identified a strong positive purine (AG) gradient from the 5′-end to the 3′-end, and also learnt that the nucleosome-enriched regions are GC-rich as compared to the nucleosome-free sequences as purine content is positively correlated with GC content. Sequence characterization allowed us to develop a hidden Markov model (HMM) algorithm for decoding nucleosome positioning computationally, and based on a set of training data from the fifth chromosome of C. elegans, our algorithm predicted 60%-70% of the well-positioned nucleosomes, which is 15%-20% higher than random positioning. We concluded that nucleosomes are not randomly positioned on DNA sequences and yet bind to different genome regions with variable stability, well-positioned nucleosomes leave sequence signatures on DNA, and statistical positioning of nucleosomes across genome can be decoded computationally based on these sequence signatures.     

High-Resolution Mapping of Sequence-Directed Nucleosome Positioning on Genomic DNA

We have mapped in vitro nucleosome positioning on the sheep β-lactoglobulin gene using high-throughput sequencing to characterise the DNA sequences recovered from reconstituted nucleosomes. This methodology surpasses previous approaches for coverage, accuracy and resolution and, most importantly, offers a simple yet rapid and relatively inexpensive method to characterise genomic DNA sequences in terms of nucleosome positioning capacity. We demonstrate an unambiguous correspondence between in vitro and in vivo nucleosome positioning around the promoter of the gene; identify discrete, sequence-specific nucleosomal structures above the level of the canonical core particle—a feature that has implications for regulatory protein access and higher-order chromatin packing; and reveal new insights into the involvement of periodically organised dinucleotide sequence motifs of the type GG and CC and not AA and TT, as determinants of nucleosome positioning—an observation that supports the idea that the core histone octamer can exploit different patterns of sequence organisation, or structural potential, in the DNA to bring about nucleosome positioning.     

Sequence-directed Mapping of Nucleosome Positions

Abstract

A nucleosome DNA sequence probe is designed that combines recently derived RR/YY counter-phase and AA/TT in-phase periodical patterns. A simple nucleosome mapping procedure is introduced for prediction of the nucleosome positions in the sequence of interest, to serve as a guide for experimental studies of the chromatin structure.     

Controls of Nucleosome Positioning in the Human Genome

Nucleosomes are important for gene regulation because their arrangement on the genome can control which proteins bind to DNA. Currently, few human nucleosomes are thought to be consistently positioned across cells; however, this has been difficult to assess due to the limited resolution of existing data. We performed paired-end sequencing of micrococcal nuclease-digested chromatin (MNase–seq) from seven lymphoblastoid cell lines and mapped over 3.6 billion MNase–seq fragments to the human genome to create the highest-resolution map of nucleosome occupancy to date in a human cell type. In contrast to previous results, we find that most nucleosomes have more consistent positioning than expected by chance and a substantial fraction (8.7%) of nucleosomes have moderate to strong positioning. In aggregate, nucleosome sequences have 10 bp periodic patterns in dinucleotide frequency and DNase I sensitivity; and, across cells, nucleosomes frequently have translational offsets that are multiples of 10 bp. We estimate that almost half of the genome contains regularly spaced arrays of nucleosomes, which are enriched in active chromatin domains. Single nucleotide polymorphisms that reduce DNase I sensitivity can disrupt the phasing of nucleosome arrays, which indicates that they often result from positioning against a barrier formed by other proteins. However, nucleosome arrays can also be created by DNA sequence alone. The most striking example is an array of over 400 nucleosomes on chromosome 12 that is created by tandem repetition of sequences with strong positioning properties. In summary, a large fraction of nucleosomes are consistently positioned—in some regions because they adopt favored sequence positions, and in other regions because they are forced into specific arrangements by chromatin remodeling or DNA binding proteins.     

Positioning of a Nucleosome on Mouse Satellite DNA Inserted into a Yeast Plasmid Is Determined by Its DNA Sequence and an Adjacent Nucleosome

It has earlier been shown that multiple positioning of nucleosomes on mouse satellite DNA is determined by its nucleotide sequence. To clarify whether other factors, such as boundary ones, can affect the positionings, we modified the environment of satellite DNA monomer by inserting it into a yeast plasmid between inducible GalCyc promoter and a structural region of the yeast FLP gene. We have revealed that the positions of nucleosomes on satellite DNA are identical to those detected upon reconstruction in vitro. The positioning signal (GAAAAA sequence) of satellite DNA governs nucleosome location at the adjacent nucleotide sequence as well. Upon promoter induction the nucleosome, translationally positioned on the GalCyc promoter, transfers to the satellite DNA and its location follows the positioning signal of the latter. Thus, the alternatives of positioning of a nucleosome on satellite DNA are controlled by its nucleotide sequence, though the choice of one of them is determined by the adjacent nucleosome.     

鸡瘦蛋白受体(OBR)基因外显子9单核苷酸多态性分析

瘦蛋白受体属于Ⅰ类细胞因子超家族受体,其在瘦蛋白的信号转导中起着关键的作用。本研究根据瘦蛋白受体基因外显子9的序列设计引物,用PCR-SSCP的方法对高脂系（fatness line,FL）、低脂系(leanness line,LL)、北京油鸡、白耳鸡、石歧杂、矮小黄鸡、小型黄鸡、惠阳胡须鸡、隐性白羽鸡和海兰蛋鸡等品种（系）进行了单核苷酸多态性分析,并检测到了多态性。对两种纯合子片段克隆和测序,结果表明在编码区的1167位碱基发生了突变,由C突变为A,但是编码的氨基酸并没有发生改变。经独立性检验,基因型频率和基因频率分布与品种有关,北京油鸡的AA基因型频率显著高于其他品种;高脂系中A基因频率显著高于低脂系。 Abstract:Leptin receptor is a type I cytokine super family member and plays an important role in leptin functioning signal transduction.This study was designed to investigate the single nucleotide polymorphism (SNP) of OBR gene in various breeds,including Fatness Line (FL),Leanness Line (LL),Beijing Youji,Baierji,Shiqiza,Dwarf Yellow Chickens,Mini Yellow Chickens,Huiyang Huxuji,Recessive White Chickens and Hyline Layer.The primers for exon 9 in OBR gene were designed from the database of chicken genomic sequence and the SNPs were detected by PCR-SSCP method.One SNP (C/A at 1167 in cds) was found among individuals within all breeds.However,the amino acid was not changed because it was a silence mutantion.The result of population genetics analyses showed that the frequency of AA genotype in Beijing Youji was significantly higher than that in other lines.Also,the frequency of A allele in FL was significantly higher than that in LL.     

猪Mu阿片受体基因单核苷酸多态性分析

Mu阿片受体（简称MOR）属于G蛋白藕联受体,分布在痛觉传导区,以及与情绪和行为有关的区域,影响动物的神经反应和行为表现。该研究以长白猪、大白猪和杜洛克猪为试验材料, 用8对引物对Mu阿片受体基因的5′ UTR区域、整个编码区和3′ UTR区域用PCR-SSCP方法进行了扫描,发现5处突变基因座（GenBank登录号：AF521309）。统计结果发现基因型频率分布与品种有关,大白猪突变基因型频率显著高于长白和杜洛克,本研究推测分布上的差异可能是由于长期的选择压力造成的。 Abstract:Mu opioid receptor (MOR) is a member of G protein-coupled receptor family,distributed in the pain transduction region in the brain and related to emotion and behaviour.This study was designed to investigate the Single Nucleotide Polymorphism (SNP) of Mu opioid receptor gene in various breeds,including duroc,landrace and Yorkshire.5′ UTR ( untranslate region),coding region and 3′ UTR of Mu opioid receptor gene were amplified by eight pairs of primers,and the Single Nucleotide Polymorphism (SNP) were detected by SSCP.Five polymorphisms were found (Genebank Accession number:AF521309).The results of χ2 test showed that the frequencies of genotypes in different breeds were significantly different (P＜0.01).The frequencies of mutation genotypes in Yorkshire were significantly higher than Duroc and Landrace.According to the above results,we can speculate the difference of the frequencies of genotypes may be the results of long term choice pressure.     

单核苷酸多态性检测技术的研究进展

单核苷酸多态性是指在基因组水平上单个核苷酸变异引起的一种DNA序列多态性。因其具有密度高,遗传稳定,易于进行自动化、规模化分析等优势它已成为第三代分子标记,因此其检测技术也在近几年得到了快速的发展。将对未知单核苷酸突变位点的检测方法和已知单核苷酸突变位点的检测方法这两部分的研究进展作一综述。