Opioid-binding cell adhesion molecule (OBCAM)-related clones from a rat brain cDNA library.

The AKin10 gene from Arabidopsis thaliana encoding a putative Ser/Thr protein kinase (PK) has been isolated and characterized. The AKin10-encoding gene is located on a genomic 5.4-kb BamHI fragment and contains ten introns, one being located in the 5' untranslated region. The deduced amino acid sequence of AKin10 is 65% identical over the catalytic domain to the yeast PK (SNF1). SNF1 is essential for the derepression of many glucose-repressible genes, including Suc2 which encodes invertase. Southern blot hybridization experiments suggested the presence of one copy of the gene per haploid genome of A. thaliana. Northern hybridization experiments indicated that this gene is expressed in roots, shoots and leaves. AKin10 may play an important role in a signal transduction cascade regulating gene expression and carbohydrate metabolism in higher plants.     

微量元素蛋白质组的比较基因组学研究

微量元素指需要量很少（人体中含量在0．01％以下）,但却是所有生物体所必需的元素。它们参与了生物体中各种复杂的生物过程,因此不同生物必须依赖相应的微量元素才能生存。过去大量的工作主要放在微量元素代谢通路和微量元素结合蛋白的实验研究上,由此凸显出微量元素对生命的重要性。然而,微量元素的计算生物学研究工作却非常有限。着重介绍当前利用比较基因组学的理论和方法来研究不同微量元素的利用、代谢、功能和进化方面问题的最新进展。对于所讨论的元素,大多数利用它们的蛋白已经基本确定,并且这些蛋白对于特定元素的依赖性也是非常保守的。通过比较基因组学分析,有助于帮助我们进一步认识微量元素领域很多基本问题（如在古菌、细菌和真核生物中的代谢、功能和动态进化规律等）及其重要特征。     

系统生物学的研究进展

21世纪是生命科学研究的新时代,是系统生物学的时代.系统生物学以系统的观点,运用工程和计算机技术和各种先进的生物学研究手段研究细胞中所有基因和蛋白质来解释生命的奥秘.系统生物学强调对生命现象要从系统和整体的层次加以研究和把握,不仅要了解系统的结构和功能,而且还要揭示出系统内部各组成成分的相互作用和运行规律,已成为当今生命科学最具活力的新兴前沿学科之一.     

Comparative characterization of a temperature responsive gene (lactate dehydrogenase-B,ldh-b) in two congeneric tropical fish,Lates calcarifer and Lates niloticus

The characterization of candidate loci is a critical step in obtaining insight into adaptation and acclimation of organisms. In this study of two non-model tropical (to sub-tropical) congeneric perciformes (Lates calcarifer and Lates niloticus) we characterized both coding and non-coding regions of lactate dehydrogenase-B (ldh-b), a locus which exhibits temperature-adaptive differences among temperate and sub-tropical populations of the North American killifish Fundulus heteroclitus. Ldh-b was 5,004 and 3,527 bp in length in L. calcarifer and L. niloticus, respectively, with coding regions comprising 1,005 bp in both species. A high level of sequence homology existed between species for both coding and non-coding regions of ldh-b (> 97% homology), corresponding to a 98.5% amino acid sequence homology. All six known functional sites within the encoded protein sequence (LDH-B) were conserved between the two Lates species. Ten simple sequence repeat (SSR) motifs (mono-, di-, tri- and tetranucleotide) and thirty putative microRNA elements (miRNAs) were identified within introns 1, 2, 5 and 6 of both Lates species. Five single nucleotide polymorphisms (SNPs) were also identified within miRNA containing intron regions. Such SNPs are implicated in several complex human conditions and/or diseases (as demonstrated by extensive genome-wide association studies). This novel characterization serves as a platform to further examine how non-model species may respond to changes in their native temperatures, which are expected to increase by up to 6°C over the next century.     

Leucine-rich repeat (LRR) proteins: Integrators of pattern recognition and signaling in immunity

The leucine-rich repeats (LRR)-containing domain is evolutionarily conserved in many proteins associated with innate immunity in plants, invertebrates and vertebrates. Serving as a first line of defense, the innate immune response is initiated through the sensing of pathogen-associated molecular patterns (PAMPs). In plants, NBS (nucleotide-binding site)-LRR proteins provide recognition of pathogen products of avirulence (AVR) genes. LRRs also promote interaction between LRR proteins as observed in receptor-coreceptor complexes. In mammals, toll-like receptors (TLRs) and NOD-like receptors (NLRs) through their LRR domain, sense molecular determinants from a structurally diverse set of bacterial, fungal, parasite and viral-derived components. In humans, at least 34 LRR proteins are implicated in diseases. Most LRR domains consist of 2–45 leucine-rich repeats, with each repeat about 20–30 residues long. Structurally, LRR domains adopt an arc or horseshoe shape, with the concave face consisting of parallel β-strands and the convex face representing a more variable region of secondary structures including helices. Apart from the TLRs and NLRs, most of the 375 human LRR proteins remain uncharacterized functionally. We incorporated computational and functional analyses to facilitate multifaceted insights into human LRR proteins and outline a few approaches here.     

eggNOG-mapper v2: Functional Annotation,Orthology Assignments,and Domain Prediction at the Metagenomic Scale

Even though automated functional annotation of genes represents a fundamental step in most genomic and metagenomic workflows, it remains challenging at large scales. Here, we describe a major upgrade to eggNOG-mapper, a tool for functional annotation based on precomputed orthology assignments, now optimized for vast (meta)genomic data sets. Improvements in version 2 include a full update of both the genomes and functional databases to those from eggNOG v5, as well as several efficiency enhancements and new features. Most notably, eggNOG-mapper v2 now allows for: 1) de novo gene prediction from raw contigs, 2) built-in pairwise orthology prediction, 3) fast protein domain discovery, and 4) automated GFF decoration. eggNOG-mapper v2 is available as a standalone tool or as an online service at http://eggnog-mapper.embl.de.     

系统生物学——生命科学的新领域

系统生物学是继基因组学、蛋白质组学之后一门新兴的生物学交叉学科,代表21世纪生物学的未来.最近,系统生物学研究机构纷纷成立.在研究上,了解一个复杂的生物系统需要整合实验和计算方法.基因组学和蛋白质组学中的高通量方法为系统生物学发展提供了大量的数据.计算生物学通过数据处理、模型构建和理论分析,成为系统生物学发展的一个必不可缺、强有力的工具.在应用上,系统生物学代表新一代医药开发和疾病防治的方向.     

Bioinformatics training in the USA

This paper provides an overview of the history and funding of bioinformatics training in the USA, and summarises some of the challenges and key features associated with bioinformatics training programmes at PhD level. The paper includes compilations of current PhD bioinformatics training programmes and sources of funding.     

Construction of yeast artificial chromosome (YAC) clone banks covering three genome equivalents and isolation of YACs containing the human gene encoding tumor necrosis factor receptor β

Yeast artificial chromosome (YAC) banks covering in total about three haploid genome equivalents were constructed using a human Epstein-Barr-virus-transformed B lymphocytic cell line. Two clone banks were made: 20 000 clones with average inserts of 350 kb in the pYAC4 vector and 9850 clones with average inserts of 180 kb using vectors pJS89 and pJS91. Direct comparison of pYAC4 with pJS89 and pJS91 showed pYAC4 to be the most suitable cloning vector. Two partial banks with average insert sizes of 220 kb for human endothelial cell DNA and epithelial HEp2 cell DNA were also constructed, each covering 10% of the haploid genome. A rapid, three-step PCR screening procedure for isolation of individual YAC clones was developed and used to identify two clones encoding TNF-Rβ. These clones cover about 200 kb and have 170 kb in common. TNF-Rβ is 9.3 kb long and contains two introns within the protein-coding sequence.     

Recently integrated human Alu repeats: finding needles in the haystack

Alu elements undergo amplification through retroposition and integration into new locations throughout primate genomes. Over 500,000 Alu elements reside in the human genome, making the identification of newly inserted Alu repeats the genomic equivalent of finding needles in the haystack. Here, we present two complementary methods for rapid detection of newly integrated Alu elements. In the first approach we employ computational biology to mine the human genomic DNA sequence databases in order to identify recently integrated Alu elements. The second method is based on an anchor-PCR technique which we term Allele-Specific Alu PCR (ASAP). In this approach, Alu elements are selectively amplified from anchored DNA generating a display or 'fingerprint' of recently integrated Alu elements. Alu insertion polymorphisms are then detected by comparison of the DNA fingerprints generated from different samples. Here, we explore the utility of these methods by applying them to the identification of members of the smallest previously identified subfamily of Alu repeats in the human genome termed Ya8. This subfamily of Alu repeats is composed of about 50 elements within the human genome. Approximately 50% of the Ya8 Alu family members have inserted in the human genome so recently that they are polymorphic, making them useful markers for the study of human evolution. This revised version was published online in July 2006 with corrections to the Cover Date.     

Causality, randomness, intelligibility, and the epistemology of the cell

Because the basic unit of biology is the cell, biological knowledge is rooted in the epistemology of the cell, and because life is the salient characteristic of the cell, its epistemology must be centered on its livingness, not its constituent components. The organization and regulation of these components in the pursuit of life constitute the fundamental nature of the cell. Thus, regulation sits at the heart of biological knowledge of the cell and the extraordinary complexity of this regulation conditions the kind of knowledge that can be obtained, in particular, the representation and intelligibility of that knowledge. This paper is essentially split into two parts. The first part discusses the inadequacy of everyday intelligibility and intuition in science and the consequent need for scientific theories to be expressed mathematically without appeal to commonsense categories of understanding, such as causality. Having set the backdrop, the second part addresses biological knowledge. It briefly reviews modern scientific epistemology from a general perspective and then turns to the epistemology of the cell. In analogy with a multi-faceted factory, the cell utilizes a highly parallel distributed control system to maintain its organization and regulate its dynamical operation in the face of both internal and external changes. Hence, scientific knowledge is constituted by the mathematics of stochastic dynamical systems, which model the overall relational structure of the cell and how these structures evolve over time, stochasticity being a consequence of the need to ignore a large number of factors while modeling relatively few in an extremely complex environment.     

Mapping the human phosphatome on growth pathways

Large‐scale siRNA screenings allow linking the function of poorly characterized genes to phenotypic readouts. According to this strategy, genes are associated with a function of interest if the alteration of their expression perturbs the phenotypic readouts. However, given the intricacy of the cell regulatory network, the mapping procedure is low resolution and the resulting models provide little mechanistic insights. We have developed a new strategy that combines multiparametric analysis of cell perturbation with logic modeling to achieve a more detailed functional mapping of human genes onto complex pathways. A literature‐derived optimized model is used to infer the cell activation state following upregulation or downregulation of the model entities. By matching this signature with the experimental profile obtained in the high‐throughput siRNA screening it is possible to infer the target of each protein, thus defining its ‘entry point’ in the network. By this novel approach, 41 phosphatases that affect key growth pathways were identified and mapped onto a human epithelial cell‐specific growth model, thus providing insights into the mechanisms underlying their function.     

Thriving in Multidisciplinary Research: Advice for New Bioinformatics Students

The sciences have seen a large increase in demand for students in bioinformatics and multidisciplinary fields in general. Many new educational programs have been created to satisfy this demand, but navigating these programs requires a non-traditional outlook and emphasizes working in teams of individuals with distinct yet complementary skill sets. Written from the perspective of a current bioinformatics student, this article seeks to offer advice to prospective and current students in bioinformatics regarding what to expect in their educational program, how multidisciplinary fields differ from more traditional paths, and decisions that they will face on the road to becoming successful, productive bioinformaticists.