Genome-wide computational identification of microRNAs and their targets in the deep-branching eukaryote Giardia lamblia

Using a combined computational program. we identified 50 potential microRNAs (miRNAs) in Giardia lamblia. one of the most primitive unicellular eukaryotes. These miRNAs are unique to G. lamblia and no homologues have been found in other organisms; miRNAs.

贾第虫microRNA 及其靶基因的预测与验证

MicroRNAs (miRNAs)是一类长约21-25nt 的非编码小分子RNAs，通过与靶基因的互补结合在转录水平及转录后水平来负调控基因表达。人们已在众多高等多细胞生物中如人、果蝇、线虫、拟南芥等鉴定出众多microRNAs 分子。近来报道单细胞原生生物衣藻中也存在大量microRNAs。然而到目前为止，在被很多证据证实是最原始的单细胞真核生物贾第虫中却仍未有microRNAs 的报道。那么到底贾第虫这种具有特殊进化地位的单细胞原生动物是否存在有microRNAs 呢？如果存在的话，其microRNAs 的特点是什么？与高等多细胞生物及单细胞衣藻的 microRNA 相比又有何异同点呢？贾第虫的microRNAs 是否与其致病性相关呢？已有研究表明，贾第虫基因组中存在与RNAi 相关的Argonaute（AGO）家族蛋白和Dicer 酶。有意思的是，这些与siRNA 引起RNAi 作用关键的蛋白AGO 和Dicer 同样也是miRNA 系统的关键成份，这就提示我们在贾第虫中很有可能也存在有miRNA 并发挥功能。有研究发现在贾第虫基因组中存在大量的非编码转录物，这些大量的非编码转录物中，是否都是后来所认为的为双向启动子转录有用基因时的副产物，还是也存在一些起调控作用的RNA 分子（如miRNAs 等），需要进一步的研究。本文利用生物信息学的手段，依据miRNAs 的生物学特征，结合多种计算机预测的方法，在贾第虫基因组中筛选可能的microRNAs 分子，结果共鉴定出50 个miRNAs 候选分子，这50 个可能的贾第虫miRNAs 不具有保守性，在已知的其他物种的miRNAs 中找不到同源物。用这50 个microRNAs BLASTN 贾第虫的蛋白质编码序列及其相邻5’端和3’端各200bp 的序列，来寻找这些microRNAs 所调控的靶基因。结果表明，寻找到的贾第虫miRNA 的靶基因除很大一部分未知功能的蛋白外，还包括了很多涉及不同功能的蛋白，如VSP 蛋白（various surface proteins）这样一类表面抗原蛋白，提示我们贾第虫miRNA 可能与其致病性相关。接下来我们对其中14 个预测的贾第虫microRNAs 进行了RT-PCR 检测并克隆测序，结果表明gla-mir-6, gla-mir-35 在贾第虫滋养体细胞中稳定表达。我们的研究第一次用生物信息学结合实验的方法在贾第虫寻找到了microRNAs，为下一步深入研究这些microRNAs 在贾第虫中的功能提供了可能。

Identification of nonlinear dynamic systems: Time-frequency filtering and skeleton curves

The nonlinear behavior varying with the instantaneous response was analyzed through the joint time-frequency analysis method for a class of S. D. O. F nonlinear system. A masking operator an definite regions is defined and two theorems are presented. Based on these, the nonlinear system is modeled with a special time-varying linear one, called the generalized skeleton linear system (GSLS). The frequency skeleton curve and the damping skeleton curve are defined to describe the main feature of the non-linearity as well. Moreover, an identification method is proposed through the skeleton curves and the time-frequency filtering technique.

An Amino Acid Substitution Matrix for Protein Conformation Identification

Amino acid substitution matrices play an essential role in protein sequence alignment, a fundamental task in bioinformatics. Most widely used matrices, such as PAM matrices derived from homologous sequences and BLOSUM matrices derived from aligned segments of PROSITE, did not integrate conformation information in their construction. There are a few structure-based matrices, which are derived from limited data of structure alignment. Using databases PDB_SELECT and DSSP, we create a database of sequence-conformation blocks which explicitly represent sequence-structure relationship. Members in a block are identical in conformation and are highly similar in sequence. From this block database, we derive a conformation-specific amino acid substitution matrix CBSM60. The matrix shows an improved performance in conformational segment search and homolog detection.

Identification of Nonlinear Systems Through Time-Frequency Filtering Technique

In the previous paper, a class of nonlinear system is mapped to a so-called skeleton linear model (SLM) based on the joint time-frequency analysis method. Behavior of the nonlinear system may be indicated quantitatively by the variance of the coefficients of SLM versus its response. Using this model we propose an identification method for nonlinear systems based on nonstationary vibration data in this paper. The key technique in the identification procedure is a time-frequency filtering method by which solution of the SLM is extracted from the response data of the corresponding nonlinear system. Two time-frequency filtering methods are discussed here. One is based on the quadratic time-frequency distribution and its inverse transform, the other is based on the quadratic time-frequency distribution and the wavelet transform. Both numerical examples and an experimental application are given to illustrate the validity of the technique.

Some advances in study of crack identification problems

In the present paper, the crack identification problems are investigated. This kind of problems belong to the scope of inverse problems and are usually ill-posed on their solutions. The paper includes two parts: (1) Based on the dynamic BIEM and the optimization method and using the measured dynamic information on outer boundary, the identification of crack in a finite domain is investigated and a method for choosing the high sensitive frequency region is proposed successfully to improve the precision. (2) Based on 3-D static BIEM and hypersingular integral equation theory, the penny crack identification in a finite body is reduced to an optimization problem. The investigation gives us some initial understanding on the 3-D inverse problems.

Outline and computational approaches of protein misfolding.

Protein misfolding is a general causation of classical conformational diseases and many pathogenic changes that are the result of structural conversion. Here I review recent progress in clinical and computational approaches for each stage of the misfolding process, aiming to present readers an outline for swift comprehension of this field.