神经系统特异表达基因调控机理的研究进展

神经系统特异性基因正确的时空表达受细胞内外信号的调控,信号传导途径最终的靶位点是能结合特异转录因子的DNA序列.目前发现的决定神经系统基因特异性表达的顺式作用元件既有增强子,也有沉默子.它们可以特异性地增强基因在神经系统的表达,或特异性抑制基因在非神经系统的表达. 顺式元件要发挥这些作用,依赖于与其结合的反式因子,而这些反式因子又能与其他蛋白质或DNA序列发生互动, 通过协调作用,共同决定基因的时空表达顺序.     

Tuning in to the signals: noncoding sequence conservation in vertebrate genomes

Aligning and comparing genomic sequences enables the identification of conserved sequence signatures and can enrich for coding and noncoding functional regions. In vertebrates, the comparison of human and rodent genomes and the comparison of evolutionarily distant genomes, such as human and pufferfish, have identified specific sets of 'ultraconserved' sequence elements associated with the control of early development. However, is this just the tip of a 'conservation iceberg' or do these sequences represent a specific class of regulatory element? Studies on the zebrafish phox2b gene region and the ENCODE project suggest that many regulatory elements are not highly conserved, posing intriguing questions about the relationship between noncoding sequence conservation and function and the evolution of regulatory sequences.     

FBSA: feature-based sequence alignment technique for very large sequences

The ability to align pairs of very large molecular sequences is essential for a range of comparative genomic studies. However, given the complexity of genomic sequences, it has been difficult to devise a systematic method that can align - even within the same species - pairs of large sequences. Most existing approaches typically attempt to align nucleotide sequences while ignoring valuable features contained within them, eg they filter out low-complexity regions and retroelements before aligning the sequences. However, features are then added post-alignment for visualisation and analysis purposes. We argue that repetitive elements and other features (such as genes, exons and regulatory elements) should be part of the alignment process. A hierarchical approach that aligns the biologically relevant features before aligning the detailed nucleotide sequences has a number of interesting characteristics: (1) features define 'alignment anchor points' that can guide meaningful nucleotide alignment; (2) features can be weighted; (3) a hierarchical approach would identify only meaningful regions to be aligned; (4) nucleotide sequences can be described as sequences of features and non-features, providing a natural mechanism to divide the sequences for processing; and (5) computational speed is significantly faster than other approaches. In this paper, we describe and discuss a feature-based approach to aligning large genome sequences. We refer to this as 'feature-based sequence alignment'.