Genome expression on the World Wide Web

How are genes measured? Examples from studies on iron metabolism in pregnancy

As the 21st century moves forward, it is becoming more and more apparent that the genetic makeup of any individual strongly influences the way they metabolise nutrients. It is very important, therefore, to understand the techniques and technologies used to assess the contribution genes make to the physiology of an individual. Clearly, it is not possible to provide a comprehensive overview, but in the present review an attempt will be made to show, using examples from the authors' research, how these methods have contributed to this understanding. Studies are being undertaken into Fe transport across the placenta, from the mother to the fetus, and the consequences of maternal anaemia on pregnancy outcome. Levels of gene transcript and protein have been measured using Northern and Western blotting respectively. During the course of this work a new protein has been identified using the available human genome database. Following this 'in silico' or 'cyber biology', techniques such as real-time RT-PCR and RNA interference have been used to examine expression of this gene and its protein. The methods used, briefly how they work and some of their limitations will be explained. The objective of the present review is primarily to give a better perception of how molecular biology can be used in research and to help gain a clearer understanding of some of the techniques used.

High-resolution quantification of specific mRNA levels in human brain autopsies and biopsies

Quantification of mRNA levels in human cortical brain biopsies and autopsies was performed using a fluorogenic 5' nuclease assay. The reproducibility of the assay using replica plates was 97%-99%. Relative quantities of mRNA from 16 different genes were evaluated using a statistical approach based on ANCOVA analysis. Comparison of the relative mRNA levels between two groups of samples with different time postmortem revealed unchanged relative expression levels for most genes. Only CYP26A1 mRNA levels showed a significant decrease with prolonged time postmortem (p = 0.00004). Also, there was a general decrease in measured mRNA levels for all genes in autopsies compared to biopsies; however, on comparing mRNA levels after adjusting with reference genes, no significant differences were found between mRNA levels in autopsies and biopsies. This observation indicates that studies of postmortem material can be performed to reveal the relative in vivo mRNA levels of genes. Power calculations were done to determine the number of individuals necessary to detect differences in mRNA levels of 1.5-fold to tenfold using the strategy described here. This analysis showed that samples from at least 50 individuals per group, patients and controls, are required for high-resolution ( approximately twofold changes) differential expression screenings in the human brain. Experiments done on ten individuals per group will result in a resolution of approximately fivefold changes in expression levels. In general, the sensitivity and resolution of any differential expression study will depend on the sample size used and the between-individual variability of the genes analyzed.

Computer applications in biomolecular sciences. Part 2: bioinformatics and genome projects

This article defines and describes some of the basics of bioinformatics and projects aimed at sequencing entire genomes. Emphasis is placed on some of the ways in which the primary structures of nucleic acids and proteins may be investigated and analysed to gain meaningful biological information using computers and appropriate software. The importance of the world wide net and access to it is given prominence, particularly in bioinformatics research and teaching.

Encroaching genomics: adapting large-scale science to small academic laboratories

The process of conducting biological research is undergoing a profound metamorphosis due to the technological innovations and torrent of information resulting from the execution of multiple species genome projects. The further tasks of mapping polymorphisms and characterizing genome-wide protein-protein interaction (the characterization of the proteome) will continue to garner resources, talent, and public attention. Although some elements of these whole genome size projects can only be addressed by large research groups, consortia, or industry, the impact of these projects has already begun to transform the process of research in many small laboratories. Although the impact of this transformation is generally positive, laboratories engaged in types of research destined to be dominated by the efforts of a genomic consortium may be negatively impacted if they cannot rapidly adjust strategies in the face of new large-scale competition. The focus of this report is to outline a series of strategies that have been productively utilized by a number of small academic laboratories that have attempted to integrate such genomic resources into research plans with the goal of developing novel physiological insights.

Guidelines and recommendations for content, structure, and deployment of mutation databases: II. Journey in progress

The HUGO Mutation Database Initiative has produced guidelines and recommendations addressing uniform nomenclature of (human) genes and alleles, and computing standards to permit a moderate level of built-in redundancy, searchable interfaces, and compatibility between the comprehensive (genomic) and locus-specific types of databases. The participating community (developers and users) have been moving the project along rapidly, as described here.

Functional genomics and DNA array techniques in atherosclerosis research

DNA arrays are revolutionizing the analysis of gene expression and single nucleotide polymorphisms of genomic DNA. Currently, the expression of 10-15% of human genes can be analysed simultaneously in a single experiment using cDNA or oligonucleotide-based format of DNA array. Alternatively, smaller DNA arrays with a limited number of selected genes, such as cytokines, growth factors or transcription factors, can be used. In concordance with Human Genome Project, after a few years, the DNA arrays will allow the analysis of expression of the whole human genome and will have a great impact on basic research, drug development and diagnostics. It is important to characterise mechanisms of atherosclerosis-related diseases at the level of gene expression so that new therapeutic strategies can be identified. With the aid of DNA array it is possible to identify multiple, simultaneous, transcriptional events that ameliorate or contribute to atherogenesis. The results are non-physical maps of the function, hierarchy and interactions of genetic programs. In this review we focus on DNA array technology and its applications in atherosclerosis research.