双链RNA对基因表达的抑制及其应用

RNAi(RNA interference)为研究未知功能基因提供了新的反向遗传学手段；并能应用于人类的基因治疗。文中就RNAi的研究进展、作用机制及其应用进行了评述，并与基因敲除及反义RNA抑制进行了比较。

外源性双链RNA对小鼠卵母细胞basonuclin基因表达的影响

dsRNA能阻抑卵母细胞中同源基因的表达,其作用相当于基因敲除。质粒表达的发夹环型dsRNA也可以有效降解basonuclin转录产物,这为研究basonuclin在卵母细胞发育早期的功能提供了新的手段。

RNA 的历史与未来

核酶的发现使得人们有理由相信生命起源于RNA ,通过试管演化实验获得的各种各样的催化性RNA 更使人们 对地球历史早期的RNA 世界有了越来越多的了解。同时,随着RNA 结构和功能上非凡的多样性的日益被揭示,RNA 在未来的临床应用研究中所具有的巨大潜力也正逐渐显现出来。

稳定的RNA 发夹结构在人类88 个mRNA 编码区中的分布

　以UNCG, GNRA , CUU G (N = A , U , C 或G; R = G或A) 为端环能够形成稳定的、保 守的发夹结构. 它们具有特殊的结构特征, 并在体内发挥着重要的生物学功能. 这些稳定的发夹 广泛分布于体内rRNA , 催化RNA 和非编码mRNA 中. 但对人类88 个编码区mRNA 二级结构的 研究当中, 却没有发现C(UUCG) G发夹. 而且, 与rRNA 不同, 这些编码区mRNA 四环序列的 分布没有明显的偏好性.

RNA A_6膨胀环的动力学特征

通过对RNA A6膨胀环在水溶液中的动力学模拟发现,在A6膨胀环中,环区构象主要以非堆积构象为主,环区具有较大的构象柔性,膨胀环区链的构象波动对已形成的RNA分子弯折的影响不大,弯折角只是在小范围内变动,提示作为全局结构,带大尺寸膨胀环的RNA分子仍然具有一定的刚性,柔性主要表现在膨胀环区域.

Additional angles to calculate the deformation of RNA helices induced by bulge loops

Bulges are common features of folded RNA structures. The RNA axial kinking caused by bulges has been confirmed by many experiments. Usually, a kinking angle zeta and a bending angle theta are used to describe the kinking and twisting of RNA molecules containing bulges. Here, we present two additional angles (twist angle zeta(1), twist angle zeta(2)) to describe the deformation of RNA helices induced by bulge loops because only two angles (a kinking angle zeta and a bending angle theta) are not enough to define the deformation of RNA induced by bulges. (C) 2002 Elsevier Science B.V. All rights reserved.

Dynamics of RNA with A6 bulge loop

In order to understand the behavior of RNAs with large bulges In solution, molecular dynamics was performed on the RNA molecule in water with A6 bulge. The result of simulation showed that nonstacked conformation Is the main conformation in large bulges, and the backbone of large bulge is of great conformational flexibility, but bulges-induced bends are relatively rigid. The fluctuation in bulge has little influence on the bend angle of RNAs.

Transcription rates of yeast genes are influenced by the distribution of introns

A comparative analysis on the intron sequence oligonucleotide usages in two sets of yeast genes with higher and lower transcription frequencies, respectively, has shown that the intron sequence structures of the two sets of genes are different. There are more potential binding sites for transcription factors in the introns of the genes with high transcription frequencies. So it is speculated that introns regulate the transcription of genes. But more evidences are needed to favor this speculation. The detailed comparative analyses on the distribution ( length and position) of introns and exons in the two sets of gene sequences also show that there is an obvious boundary between the lengths of the two sets of introns. There is no boundary between the lengths of the two sets of exons, although the means of their lengths are of discrepancy. The situation of the gene lengths ( length of intron and exon) is similar to exon lengths. As far as the relative position, the introns in two sets of genes all have a bias toward the 5' ends of genes. But as the actual position is considered, more introns in high transcription genes have a tendency to be located toward the 5' ends of genes, some even located at 5'-UTR. These results suggest that the gene transcription rates are related to the length of intron, but not to the lengths of exons and genes sequences. The positions of introns may also influence the transcription rates. The transcriptional regulation of introns may be correlative with the transcriptional regulation of the upstream of genes, or be its continuous action.

Detection of potential positive regulatory motifs of transcription in yeast introns by comparative analysis of oligonucleotide frequencies

We conducted a comparative statistical analysis of tetra- through hexanucleotide frequencies in two sets of introns of yeast genes. The first set consisted of introns of genes that have transcription rates higher than 30 mRNAs/h while the second set contained introns of genes whose transcription rates were lower than or equal to 10 mRNAs/h. Some oligonucleotides whose occurrence frequencies in the first set of introns are significantly higher than those in the second set of introns were detected. The frequencies of occurrence of most of these detected oligonucleotides are also significantly higher than those in the exons flanking the introns of the first set. Interestingly some of these detected oligonucleotides are the same as well known "signature" sequences of transcriptional regulatory elements. This could imply the existence of potential positive regulatory motifs of transcription in yeast introns. (C) 2003 Elsevier Ltd. All rights reserved.

Stable RNA hairpins in 88 coding regions of human mRNA

RNA hairpins containing UNCG, GNRA, CUUG (N = A, U, C or G, R = G or A) loops are unusually thermodynamic stable and conserved structures. The structural features of these hairpin loops are very special, and they play very important roles in vivo. They are prevalent in rRNA, catalytic RNA and non-coding mRNA. However, the 5' C(UUCG)G 3' hairpin is not found in the folding structure of 88 human mRNA coding regions. It is also different from rRNA in that there is no preference for certain sequences among tetraloops in these 88 mRNA folding structures.

Statistical correlation between protein secondary structure and messenger RNA stem-loop structure

Anew integrated sequence-structure database, called IADE (Integrated ASTRAL-DSSP-EMBL), incorporating matching mRNA sequence, amino acid sequence, and protein secondary structural data, is constructed. It includes 648 protein domains. Based on the IADE database, we studied the relation between RNA stem-loop frequencies and protein secondary structure. It was found that the alpha-helices and beta-strands on proteins tend to be preferably "coded" by mRNA stem region, while the coils on proteins tend to be preferably "coded" by mRNA loop region. These tendencies are more obvious if we observe the structural words (SWs). An SW is defined by a four-amino-acid-fragment that shows the pronounced secondary structural (alpha-helix or beta-strand) propensity. It is demonstrated that the deduced correlation between protein and mRNA structure can hardly be explained as the stochastic fluctuation effect. (C) 2003 Wiley Periodicals, Inc.