Modularity: a new perspective in biology

Several decades of research in biochemistry and molecular biology have been devoted for studies on isolated enzymes and proteins. Recent high throughput technologies in genomics and proteomics have resulted in avalanche of information about several genes, proteins and enzymes in variety of living systems. Though these efforts have greatly contributed to the detailed understanding of a large number of individual genes and proteins, this explosion of information has simultaneously brought out the limitations of reductionism in understanding complex biological processes. The genes or gene products do not function in isolation in vivo. A delicate and dynamic molecular architecture is required for precision of the chemical reactions associated with "life". In future, a paradigm shift is, therefore, envisaged, in biology leading to exploration of molecular organizations in physical and genomic context, a subtle transition from conventional molecular biology to modular biology. A module can be defined as an organization of macromolecules performing a synchronous function in a given metabolic pathway. In modular biology, the biological processes of interest are explored as complex systems of functionally interacting macromolecules. The present article describes the perceptions of the concept of modularity, in terms of associations among genes and proteins, presenting a link between reductionist approach and system biology.     

Unwrapping glial biology: Gcm target genes regulating glial development,diversification, and function

Glia are the most abundant cell type in the mammalian brain. They regulate neuronal development and function, CNS immune surveillance, and stem cell biology, yet we know surprisingly little about glia in any organism. Here we identify over 40 new Drosophila glial genes. We use glial cells missing (gcm) mutants and misexpression to verify they are Gcm regulated in vivo. Many genes show unique spatiotemporal responsiveness to Gcm in the CNS, and thus glial subtype diversification requires spatially or temporally restricted Gcm cofactors. These genes provide insights into glial biology: we show unc-5 (a repulsive netrin receptor) orients glial migrations and the draper gene mediates glial engulfment of apoptotic neurons and larval locomotion. Many identified Drosophila glial genes have homologs expressed in mammalian glia, revealing conserved molecular features of glial cells. 80% of these Drosophila glial genes have mammalian homologs; these are now excellent candidates for regulating human glial development, function, or disease.     

Using Functional Genetics to Understand Breast Cancer Biology

Genetic screens were for long the prerogative of those that studied model organisms. The discovery in 2001 that gene silencing through RNA interference (RNAi) can also be brought about in mammalian cells paved the way for large scale loss-of-function genetic screens in higher organisms. In this article, we describe how functional genetic studies can help us understand the biology of breast cancer, how it can be used to identify novel targets for breast cancer therapy, and how it can help in the identification of those patients that are most likely to respond to a given therapy.Much remains to be learned regarding the function of mammalian genes. Only some quarter of all human genes have well-described functions. It is likely that quite a few of these currently unannotated genes will turn out to play key parts in cancer biology. For example, a 70-gene gene signature that can discriminate breast tumors of good and poor prognosis contained some 20 genes of currently unknown function (van ‘t Veer et al. 2002). The fact that these genes of unknown function foretell breast cancer prognosis hints at a role for at least some of these genes in breast cancer biology. The unbiased search for genes that contribute to breast cancer development is therefore likely to yield a rich harvest of new insights. RNA interference allows us to suppress genes systematically on a large scale and study the effects of gene suppression on specific cellular processes or signaling pathways. Consequently, RNA interference-based genetic screens have the potential to deepen our understanding of the molecular events that cause breast cancer, to find novel targets for therapy and to find biomarkers of drug responsiveness. In this article, we will describe the technologies available to perform both gain-of-function and loss-of-function genetic screens and will illustrate how such functional genetic screens have been used in the recent past to study a variety of outstanding questions in the biology of breast cancer.     

Integrating 'omic' information: a bridge between genomics and systems biology

The availability of genome sequences for several organisms, including humans, and the resulting first-approximation lists of genes, have allowed a transition from molecular biology to 'modular biology'. In modular biology, biological processes of interest, or modules, are studied as complex systems of functionally interacting macromolecules. Functional genomic and proteomic ('omic') approaches can be helpful to accelerate the identification of the genes and gene products involved in particular modules, and to describe the functional relationships between them. However, the data emerging from individual omic approaches should be viewed with caution because of the occurrence of false-negative and false-positive results and because single annotations are not sufficient for an understanding of gene function. To increase the reliability of gene function annotation, multiple independent datasets need to be integrated. Here, we review the recent development of strategies for such integration and we argue that these will be important for a systems approach to modular biology.     

涡虫生殖生物学研究进展

涡虫由于具有极强的再生能力而成为发育生物学及再生生物学研究的模式生物。此外,其在有性生殖方面所表现出来的独特性也备受人们关注。目前,涡虫生殖生物学研究领域主要围绕两个热点问题开展工作：1.无性生殖向有性生殖转化的诱因及机制的探讨;2.生殖相关基因的克隆、表达及功能分析。有关生殖转化机制方面的研究主要集中在涡虫的性化相关事件以及性化物质的本质探索;截至目前已克隆并对其表达和功能进行探讨的涡虫生殖相关基因主要有DjPTK1、vasa-like 基因、DeY1、Dryg、nanos相关基因以及Drpiwi-1等。此外,本文也对有关涡虫生殖生物学方面存在的问题及未来该领域的发展趋势进行了总结和展望。     

Genome sequences and great expectations

To assess how automatic function assignment will contribute to genome annotation in the next five years, we have performed an analysis of 31 available genome sequences. An emerging pattern is that function can be predicted for almost two-thirds of the 73,500 genes that were analyzed. Despite progress in computational biology, there will always be a great need for large-scale experimental determination of protein function.     

Genome sequences and great expectations

To assess how automatic function assignment will contribute to genome annotation in the next five years, we have performed an analysis of 31 available genome sequences. An emerging pattern is that function can be predicted for almost two-thirds of the 73,500 genes that were analyzed. Despite progress in computational biology, there will always be a great need for large-scale experimental determination of protein function.     

植物分子生物学研究极具前景的模式系统——小立碗藓

小立碗藓作为植物分子生物学研究极具前景的模式系统已日益受到人们的重视,它的生活史周期短,易于培养,转基因植株易于分析,核基因组容易和外源DNA 发生同源重组,这些特点使它成为研究基因功能的良好材料。一些成功的基因敲除和基因破坏已经在小立碗藓中实现,这些基因的功能也通过小立碗藓转化植株的特点得以证实。小立碗藓标签突变文库已经建立,其应用为小立碗藓基因的进一步研究打下了基础。关于小立碗藓的ESTs 数据库已经建立,已有67 000 条ESTs 信息。     

复杂疾病基因鉴定的计算生物学方法

过去20多年复杂疾病易感基因鉴定的主要方法是连锁分析和关联研究。因为连锁分析确定的数量性状位点通常很宽, 加之对区域内大部分基因的功能以及基因功能和疾病之间联系的认识十分有限, 所以从数量性状位点到基因的识别是一个挑战。近年来发展了一些利用公共数据库的信息预测疾病易感基因的计算生物学方法。文章简要介绍了DGP、GeneSeeker、Prioritizer、PROSPECTR and SUSPECTS及Endeavor 5种计算生物学方法的基本原理, 以2型糖尿病/肥胖和骨质疏松症易感基因的预测为例说明它们的应用方法, 并讨论了这些方法的局限及应用前景。     

MicroRNA functions in animal development and human disease

Five years into the 'small RNA revolution' it is hard not to share in the excitement about the rapidly unravelling biology of microRNAs. Since the discovery of the first microRNA gene, lin-4, in the nematode Caenorhabditis elegans, many more of these short regulatory RNA genes have been identified in flowering plants, worms, flies, fish, frogs and mammals. Currently, about 2% of the known human genes encode microRNAs. MicroRNAs are essential for development and this review will summarise our current knowledge of animal microRNA function. We will also discuss the emerging links of microRNA biology to stem cell research and human disease, in particular cancer.     

Hox en provence

In the nearly 25 years since the cloning of the first Hox genes, the broad brushstrokes of their functions in axial patterning have become familiar motifs in developmental biology. The October 2007 Fondation des Treilles workshop on "Hox Genes in Development and Evolution" in Les Treilles, France, highlighted some of the finer details regarding the function of these genes in shaping animal morphology.     

Seed traits and genes important for translational biology--highlights from recent discoveries

Seeds provide food, feed, fiber and fuel. They are also an important delivery system of genetic information, which is essential for the survival of wild species in ecosystems and the production of agricultural crops. In this review, seed traits and genes that are potentially important for agricultural applications are discussed. Over the long period of crop domestication, seed traits have been modified through intentional or unintentional selections. While most selections have led to seed traits favorable for agricultural consumption, such as larger seeds with higher nutritional value than the wild type, other manipulations in modern breeding sometimes led to negative traits, such as vivipary, precocious germination on the maternal plant or reduced seed vigor, as a side effect during the improvement of other characteristics. Greater effort is needed to overcome these problems that have emerged as a consequence of crop improvement. Seed biology researchers have characterized the function of many genes in the last decade, including those associated with seed domestication, which may be useful in addressing critical issues in modern agriculture, such as the prevention of vivipary and seed shattering or the enhancement of yields. Recent discoveries in seed biology research are highlighted in this review, with an emphasis on their potential for translational biology.     

Innovation from reduction: gene loss, domain loss and sequence divergence in genome evolution

Analyses of genome sequences have revealed a surprisingly variable distribution of genes, reflecting the generation of novel genes, lateral gene transfer and gene loss. The impact of gene loss on organisms has been difficult to examine, but the loss of protein coding genes, the loss of domains within proteins and the divergence of genes have made surprising contributions to the differences among organisms. This paper reviews surveys of gene loss and divergence in fungal and archaeal genomes that indicate suites of functionally related genes tend to undergo loss and divergence. Instances of fungal gene loss highlighted here suggest that specific cellular systems have changed, such as Ca 2+ biology in Saccharomyces cerevisiae and peroxisome function in Schizosaccharomyces pombe. Analyses of loss and divergence can provide specific predictions regarding protein-protein interactions, and the relationship between networks of protein interactions and loss may form a part of a parametric model of genome evolution.     

Bringing the physical sciences into your cell biology research

Historically, much of biology was studied by physicists and mathematicians. With the advent of modern molecular biology, a wave of researchers became trained in a new scientific discipline filled with the language of genes, mutants, and the central dogma. These new molecular approaches have provided volumes of information on biomolecules and molecular pathways from the cellular to the organismal level. The challenge now is to determine how this seemingly endless list of components works together to promote the healthy function of complex living systems. This effort requires an interdisciplinary approach by investigators from both the biological and the physical sciences.     

Caenorhabditis elegans and the study of gene function in parasites.

The free-living nematode Caenorhabditis elegans is a tractable experimental model system for the study of both vertebrate and invertebrate biology. Its most significant advantages are its simplicity, both in anatomy and in genomic organization, and the elaborate methods that have been developed to attribute function to previously uncharacterized genes. Importantly, > 40% of parasitic nematode genes exhibit high levels of homology to genes within the C. elegans genome. Studying such genes using the C. elegans model should yield new insights into key molecules and their possible implications in parasite survival, leading to the discovery of new drug targets and vaccine candidates.     

Embryogenomics: developmental biology meets genomics

Fundamental questions in developmental biology are: what genes are expressed, where and when they are expressed, what is the level of expression and how are these programs changed by the functional and structural alteration of genes? These questions have been addressed by studying one gene at a time, but a new research field that handles many genes in parallel is emerging. The methodology is at the interface of large-scale genomics approaches and developmental biology. Genomics needs developmental biology because one of the goals of genomics – collection and analysis of all genes in an organism – cannot be completed without working on embryonic tissues in which many genes are uniquely expressed. However, developmental biology needs genomics – the high-throughput approaches of genomics generate information about genes and pathways that can give an integrated view of complex processes. This article discusses these new approaches and their applications to mammalian developmental biology.     

Novel approaches to map protein interactions

Although we now have the sequence of the human genome at hand, we face the challenge of assigning function to the identified genes. Genes usually ascribe their function through proteins, and the role of proteins is to interact with other molecules. Therefore, if we could map the interactions of proteins we would be able to understand protein function. The challenge of mapping protein interactions is vast and many novel approaches have recently been developed for this task using molecular biology, mass spectrometry and chemiproteomic techniques.