Data issues in the life sciences

We review technical and sociological issues facing the Life Sciences as they transform into more data-centric disciplines - the "Big New Biology". Three major challenges are: 1) lack of comprehensive standards; 2) lack of incentives for individual scientists to share data; 3) lack of appropriate infrastructure and support. Technological advances with standards, bandwidth, distributed computing, exemplar successes, and a strong presence in the emerging world of Linked Open Data are sufficient to conclude that technical issues will be overcome in the foreseeable future. While motivated to have a shared open infrastructure and data pool, and pressured by funding agencies in move in this direction, the sociological issues determine progress. Major sociological issues include our lack of understanding of the heterogeneous data cultures within Life Sciences, and the impediments to progress include a lack of incentives to build appropriate infrastructures into projects and institutions or to encourage scientists to make data openly available.     

Rethinking of risk communication: lessons from the decision sciences

Risk communication involves three primary elements: process, content and intent. Much has been written about the first two. Much is known, for example, about the guiding principles that should be considered during the design of a risk communication. Likewise, many studies have been conducted about how best to establish the technical and informational content of a risk communication. Very little attention, by contrast, has been devoted to the intent of risk communication, which is to inform decision making for risk management. While appropriate information upon which to base risk management decisions is important, so to is an understanding of how people instinctively approach decision making under conditions of risk. Work in the decision sciences provides this often-missing perspective for many risk communication efforts and is, therefore, the focus of this paper.

Applications of PIXE in the life sciences

Biological Trace Element Research - During the last decade, particle-induced X-ray emission spectrometry (PIXE) has been accepted by the analytical chemistry community as a standard method. Instead...     

Synchrotron radiation in life sciences

Synchrotron Radiation (SR) presents itself as a "play-ground" with a large range of methods and techniques suitable to unveil the mysteries of life. Here we attempt to present a few of these methods that complement those employed in the home laboratory. SR diffraction, spectroscopy and imaging methods relevant to the atomic structure determination and characterization of the properties and function of chemical compounds and macromolecules of biological relevance, are introduced.     

Genomics in space life sciences

Since the early days of manned spaceflight, hazardous effects of the space environment on living organisms have been disputed. With the continuous manning of the International Space Station, the planned Chinese space station, and renewed interest in returning to the Moon and sending manned flights to Mars, identifying and addressing the potential outcomes of long-term space exposures is critically important.     

Data clustering in life sciences

Clustering has a wide range of applications in life sciences and over the years has been used in many areas ranging from the analysis of clinical information, phylogeny, genomics, and proteomics. The primary goal of this article is to provide an overview of the various issues involved in clustering large biological datasets, describe the merits and underlying assumptions of some of the commonly used clustering approaches, and provide insights on how to cluster datasets arising in various areas within life sciences. We also provide a brief introduction to Cluto, a general purpose toolkit for clustering various datasets, with an emphasis on its applications to problems and analysis requirements within life sciences.     

Melatonin: perspectives in the life sciences

The pineal gland hormone melatonin is now considered an important neuroendocrine component of animal physiology. Although the functional status of melatonin has been well described for subhuman species, there is a paucity of data concerning the physiological role of this hormone in man. This paucity of data has much to do with the limitations of experimental design imposed by the practical and ethical difficulties associated with the study of a nocturnally secreted hormone. The recent advent of salivary melatonin assay has provided a very practical means of monitoring melatonin secretion in long-term longitudinal type community based studies of pineal gland function in human health and disease. The efforts to describe key chronobiological changes in melatonin secretion of possible functional significance have been accompanied by a seemingly less enthusiastic search to describe the nature of the melatonin receptor, another highly important component of the 'melatonin message'. The functional relevance of specific chronobiological changes in melatonin secretion cannot be completely understood without an increased knowledge of melatonin action at the receptor level. The present work describes the recent methodological advance in the investigation of human pineal gland physiology represented by salivary melatonin assay, and discusses the present status of our knowledge of the melatonin receptor.     

Low-light imaging technology in the life sciences

Photon imaging is an increasingly important technique for the measurement and analysis of chemiluminescence and bioluminescence. New high-performance low-light level imaging systems have recently become available for the life science. These systems use advances in camera design and digital image processing and are now being used for a wide range of luminescence applications. They offer good sensitivity for photon detection and large dynamic range, and are suitable for quantitative analysis. This is achieved using a range of software techniques including image arithmetic, histogramming or summing regions of interest, feature extraction and multiple image processing for kinetics or assay screening. Improvements in imageprocessing hardware and software have increased the usefulness of these systems in the biosciences. Low-light imaging is a rapid and non-invasive method for the sensitive detection and analysis of luminescent assays. As such it offers a powerful and sensitive tool for investigating processes, both at the cellular level (luc and lux reporter genes, intracellular signalling) and for measurement of macro samples (immunoassays, gels and blots, tissue sections).     

INTERNET网上的生命科学资源

本着方便科技工作者的宗旨,笔者将ＩＮＴＥＲＮＥＴ网上不同生命科学资源加以归类,并对这些颇具代表性的网上生命科学资源作了尽可能详尽的介绍和评价。     

基因组研究与生命科学工业的崛起

人类基因组的全序列测定预计可提前两年于２００３年完成，特别是基因组内的蛋白质编码序列将更早测定。私人财团斥巨资进入这个领域，并望抢得先手，这意味着基因组研究可创造巨大财富。在过去几年里，国际上一批知名的大型制药集团和化学工业公司已在基因组研究领域内投入大量资金，并形成了一个新的产业部门，即生命科学工业。制药工业是生命科学工业的主要支柱之一，与基因组研究的关系特别密切。药物基因组学研究表明，药物的疗效与患者的基因型相关，因此，今后的药物生产要考虑到药物投放地区人群中有关的等位基因的频率，医疗处方也将因人而异而趋向个人化。比较基因组学研究则有助于从模式生物的资料指出与疾病可能相关的基因，可以此作为靶标来设计药物。