A functional genomics guide to the galaxy of neuronal cell types.
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Over the past decade, a battery of powerful tools that encompass forward and reverse genetic approaches have been developed to dissect the molecular and cellular processes that regulate development and disease. The advent of genetically-encoded fluorescent proteins that are expressed in wild type and mutant mice, together with advances in imaging technology, make it possible to study these biological processes in many dimensions. Importantly, these technologies allow direct visual access to complex events as they happen in their native environment, which provides greater insights into mammalian biology than ever before.
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Proteins are the key components of the cellular machinery responsible for processing changes that are ordered by genomic information. Analysis of most human proteins and nucleic acids is important in order to decode the complex networks that are likely to underlie many common diseases. Significant improvements in current technology are also required to dissect the regulatory processes in high-throughtput and with low cost. Miniaturization of biological assays is an important prerequisite to achieve these goals in the near future.
Freshwater planarians were a classic model for studying the problems of development and regeneration. However, as attention shifted towards animals with more rigid developmental processes, the planarians, with their notoriously plastic ontogeny, declined in significance as a model system. This trend was exacerbated with the introduction of genetic and molecular approaches, which did not work well in planarians. More recently, the heightened interest in stem-cell biology, along with the successful application of molecular, cellular and genomic approaches in planarians, is re-establishing these fascinating organisms as models for studying regeneration and developmental plasticity.
Understanding how the immune system is regulated and responds to pathogens will require whole-system approaches, because the study of single immunological parameters has, so far, been unable to unlock immune-system complexity. Global transcription analysis using microarray technologies provides a new approach to the description of complex biological phenomena. Here, we discuss insights into innate immunity that have been provided by genome-wide approaches and their impact on the interpretation of immune-system complexity.
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Exposure to ionizing radiation, as well as other stresses, results in the activation of complex signal transduction pathways, which eventually shape the response of cells and organisms. Some of the important pathways responding to radiation include the ATM/P53 pathway, MAPK cascades and NF-kappaB activation, as well as signaling events initiated at the cell membrane and within the cytoplasm. Alterations in gene expression play roles both as intermediaries in signaling and as downstream effector genes. Differences in cell type, interindividual genetic differences and crosstalk occurring between signaling pathways may help to channel radiation stress signals between cell cycle delay, enhanced DNA repair, and apoptosis. These differences may in turn help determine the likelihood of late effects of radiation exposure, including carcinogenesis and fibrosis. The tools of the postgenomic era enable high-throughput studies of the multiple changes resulting from the interplay of radiation signaling pathways. Gene expression profiling, in particular shows great promise, both in terms of insight into basic molecular mechanisms and for the future hope of biomarker development and individual tailoring of cancer therapy.
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Global gene expression profiling of hepatocellular carcinoma (HCC) is a promising new technology that has already refined the diagnosis and prognostic predictions of HCC patients. This has been accomplished by identifying genes whose expression pattern is associated with clinicopathological features of HCC tumors. Molecular characterization of HCC from gene expression profiling studies will undoubtedly improve the prediction of treatment responses, selection of treatments for specific molecular subtypes of HCC and ultimately the clinical outcome of HCC patients. The research focus is now shifting toward the identification of genetic determinants that are components of the specific regulatory pathways altered in cancers, and that may constitute novel therapeutic targets. Here we review the recent advances in gene expression profiling of HCC and discuss the future strategies for analysing large and complicated data sets from microarray studies and how to integrate these with diverse genomic data.
The lack of comparable metabolic state assays severely limits understanding the metabolic changes caused by genetic or environmental perturbations. The present study reports the application of a novel derivatization method for metabolome analysis of yeast, coupled to data-mining software that achieve comparable throughput, effort and cost compared with DNA arrays. Our sample workup method enables simultaneous metabolite measurements throughout central carbon metabolism and amino acid biosynthesis, using a standard GC-MS platform that was optimized for this purpose. As an implementation proof-of-concept, we assayed metabolite levels in two yeast strains and two different environmental conditions in the context of metabolic pathway reconstruction. We demonstrate that these differential metabolite level data distinguish among sample types, such as typical metabolic fingerprinting or footprinting. More importantly, we demonstrate that this differential metabolite level data provides insight into specific metabolic pathways and lays the groundwork for integrated transcription-metabolism studies of yeasts.
In 1993, the WHO declared tuberculosis a global emergency on the basis that there are 8 million new cases per year. The complete genome of the strain H37Rv of the causative microorganism, Mycobacterium tuberculosis, comprising 3924 genes has been sequenced. We compared the proteomes of two non-virulent vaccine strains of M. bovis BCG (Chicago and Copenhagen) with two virulent strains of M. tuberculosis (H37Rv and Erdman) to identify protein candidates of value for the development of vaccines, diagnostics and therapeutics. The mycobacterial strains were analysed by two-dimensional electrophoresis (2-DE) combining non-equilibrium pH gradient electrophoresis (NEPHGE) with SDS-PAGE. Distinct and characteristic proteins were identified by mass spectrometry and introduced into a dynamic 2-DE database (http://www.mpiib-berlin.mpg.de/2D-PAGE). Silver-stained 2-DE patterns of mycobacterial cell proteins or culture supernatants contained 1800 or 800 spots, respectively, from which 263 were identified. Of these, 54 belong to the culture supernatant. Sixteen and 25 proteins differing in intensity or position between M. tuberculosis H37Rv and Erdman, and H37Rv and M. bovis BCG Chicago, respectively, were identified and categorized into protein classes. It is to be hoped that the availability of the mycobacterial proteome will facilitate the design of novel measures for prevention and therapy of one of the great health threats, tuberculosis.
A previously annotated open reading frame (ORF) (HP0826) from Helicobacter pylori was cloned and expressed in Escherichia coli cells and determined to be a beta-1,4-galactosyltransferase that used GlcNAc as an acceptor. Mutational analysis in H. pylori strains demonstrated that this enzyme plays a key role in the biosynthesis of the type 2 N-acetyl-lactosamine (LacNAc) polysaccharide O-chain backbone, by catalysing the addition of Gal to GlcNAc. To examine the potential role of this O-chain structure in bacterial colonization of the host stomach, the mutation was introduced into H. pylori strain SS1 which is known to be capable of colonizing the gastric mucosa of mice. Compared with the parental strain, mutated SS1 was less efficient at colonizing the murine stomach.
Streptococcus pneumoniae remains a serious cause of morbidity and mortality in humans, but relatively little is known about the molecular basis of its pathogenesis. We used signature-tagged mutagenesis together with an analysis of S. pneumoniae genome sequence to identify and characterize genes required for pathogenesis. A library of signature-tagged mutants was created by insertion-duplication mutagenesis, and 1786 strains were analysed for their inability to survive and replicate in murine models of pneumonia and bacteraemia. One hundred and eighty-six mutant strains were identified as attenuated, and 56 were selected for further genetic characterization based on their ability to excise the integrated plasmid spontaneously. The genomic DNA inserts of the plasmids were cloned in Escherichia coli and sequenced. These sequences were subjected to database searches, including the S. pneumoniae genome sequence, which allowed us to examine the chromosomal regions flanking these genes. Most of the insertions were in probable operons, but no pathogenicity islands were found. Forty-two novel virulence loci were identified. Five strains mutated in genes involved in gene regulation, cation transport or stress tolerance were shown to be highly attenuated when tested individually in a murine respiratory tract infection model. Additional experiments also suggest that induction of competence for genetic transformation has a role in virulence.