Identification and cloning of differentially expressed genes

A precise mRNA quantification method using CE-based SSCP

Even though mRNA quantification provides significant information for biological analysis, current methods such as Northern blot analysis and real-time PCR are known to be laborious and lacking in precision. In this study, we demonstrate a new precise mRNA quantification method using CE based on SSCP (CE-SSCP) coupled with reverse transcription. mRNA samples could be simply analyzed for the quantification directly with reverse transcript obtained from a single reaction. This helps to avoid considerable errors generated by a series of the tedious manual steps. Also, unlike real-time PCR, reverse transcripts can be directly quantified by CE-SSCP in this method without further data estimation. Reproducibility and accuracy of CE-SSCP for mRNA quantification was examined using enhanced green fluorescent protein (eGFP) mRNA transcribed in vitro. Specific reverse transcription primer was determined for the accurate quantification of eGFP mRNA from total RNA obtained from the recombinant Escherichia coli. Using elongation factor Tu mRNA as an internal standard, it was shown that sample-to-sample variation could be minimized. Expression kinetics at both mRNA level and protein level was studied and the potential of CE-SSCP in expression analysis was demonstrated by comparison with the eGFP activity assay.

Exploratory data analysis of DNA microarrays by multivariate curve resolution

In this work, the application of a multivariate curve resolution procedure based on alternating least squares optimization (MCR-ALS) for the analysis of data from DNA microarrays is proposed. For this purpose, simulated and publicly available experimental data sets have been analyzed. Application of MCR-ALS, a method that operates without the use of any training set, has enabled the resolution of the relevant information about different cancer lines classification using a set of few components; each of these defined by a sample and a pure gene expression profile. From resolved sample profiles, a classification of samples according to their origin is proposed. From the resolved pure gene expression profiles, a set of over- or underexpressed genes that could be related to the development of cancer diseases has been selected. Advantages of the MCR-ALS procedure in relation to other previously proposed procedures such as principal component analysis are discussed.

Genome-wide analysis of differentially expressed genes from Penicillium chrysogenum grown with a repressing or a non-repressing carbon source

Penicillium chrysogenum is an economically important ascomycete used as industrial producer of penicillin. However, with the exception of penicillin biosynthesis genes, little attention has been paid to the genetics of other aspects of the metabolism of this fungus. In this article we describe the first attempt of systematic analysis of expressed genes in P. chrysogenum, using a suppression subtractive hybridization approach to clone and identify sequences of genes differentially expressed in media with glucose or lactose as carbon source (penicillin-repressing or non-repressing conditions). A total of 167 clones were analysed, 95 from the glucose condition and 72 from the lactose condition. Genes differentially expressed in the glucose condition encode mainly proteins involved in the mitochondrial electron transport chain and primary metabolism. Genes expressed differentially in lactose-containing medium include genes for secondary metabolism (pcbC, isopenicillin N synthase), different hydrolases and a gene encoding a putative hexose transporter or sensor. The results provided information on how the metabolism of this fungus adapts to different carbon sources. The expression patterns of some of the genes support the hypothesis that glucose induces higher rates of respiration in P. chrysogenum while repressing secondary metabolism.

Application of functional genomic technologies in a mouse model of retinal degeneration

Generation of tissue-specific, normalized and subtracted cDNA libraries has the potential to characterize the expression of rare transcriptional units not represented on Affymetrix GeneChips. Initial sequence analysis of our murine cDNA clone collections showed that as much as 86, 45, and 30% of clones are not represented on the Affymetrix Mu11k, MG-U74, and MG-430 chip sets, respectively. A detailed study that compared EST sequences of a subtracted library generated from mouse retina to those of MG-430 consensus sequences was undertaken, using UniGene build 124 as the common reference. A set of 1111 nonredundant transcript regions, not represented on the commercial array, was identified. These clusters were used as the primary filter for analyzing a data set produced by assaying samples from the Pde6b(rd1) mouse model of retinal degeneration on a 12,325-feature retinal cDNA microarray. QRT-PCR validated eight unique transcripts identified by microarray. Seven of the transcripts showed retina-specific expression. Full-length cloning strategies were applied to two of the ESTs. The genes discovered by this approach are the full-length mouse homologue of guanylate cyclase 2F (GUCY2F) and a carboxy-truncated splice variant of retinal S-antigen (SAG), known as regulators of the visual phototransduction G-protein-coupled receptor-mediated signaling pathway. These sequences have been assigned GenBank Accession Nos. and , respectively.

Construction and evaluation of cDNA libraries for large-scale expressed sequence tag sequencing in wheat (Triticum aestivum L.)

A total of 37 original cDNA libraries and 9 derivative libraries enriched for rare sequences were produced from Chinese Spring wheat (Triticum aestivum L.), five other hexaploid wheat genotypes (Cheyenne, Brevor, TAM W101, BH1146, Butte 86), tetraploid durum wheat (T. turgidum L.), diploid wheat (T. monococcum L.), and two other diploid members of the grass tribe Triticeae (Aegilops speltoides Tausch and Secale cereale L.). The emphasis in the choice of plant materials for library construction was reproductive development subjected to environmental factors that ultimately affect grain quality and yield, but roots and other tissues were also included. Partial cDNA expressed sequence tags (ESTs) were examined by various measures to assess the quality of these libraries. All ESTs were processed to remove cloning system sequences and contaminants and then assembled using CAP3. Following these processing steps, this assembly yielded 101,107 sequences derived from 89,043 clones, which defined 16,740 contigs and 33,213 singletons, a total of 49,953 "unigenes." Analysis of the distribution of these unigenes among the libraries led to the conclusion that the enrichment methods were effective in reducing the most abundant unigenes and to the observation that the most diverse libraries were from tissues exposed to environmental stresses including heat, drought, salinity, or low temperature.

High-throughput gene discovery in the rat

The rat is an important animal model for human diseases and is widely used in physiology. In this article we present a new strategy for gene discovery based on the production of ESTs from serially subtracted and normalized cDNA libraries, and we describe its application for the development of a comprehensive nonredundant collection of rat ESTs. Our new strategy appears to yield substantially more EST clusters per ESTs sequenced than do previous approaches that did not use serial subtraction. However, multiple rounds of library subtraction resulted in high frequencies of otherwise rare internally primed cDNAs, defining the limits of this powerful approach. To date, we have generated >200,000 3' ESTs from >100 cDNA libraries representing a wide range of tissues and developmental stages of the laboratory rat. Most importantly, we have contributed to approximately 50,000 rat UniGene clusters. We have identified, arrayed, and derived 5' ESTs from >30,000 unique rat cDNA clones. Complete information, including radiation hybrid mapping data, is also maintained locally at http://genome.uiowa.edu/clcg.html. All of the sequences described in this article have been submitted to the dbEST division of the NCBI.

A framework for integrating the songbird brain

Biological systems by default involve complex components with complex relationships. To decipher how biological systems work, we assume that one needs to integrate information over multiple levels of complexity. The songbird vocal communication system is ideal for such integration due to many years of ethological investigation and a discreet dedicated brain network. Here we announce the beginnings of a songbird brain integrative project that involves high-throughput, molecular, anatomical, electrophysiological and behavioral levels of analysis. We first formed a rationale for inclusion of specific biological levels of analysis, then developed high-throughput molecular technologies on songbird brains, developed technologies for combined analysis of electrophysiological activity and gene regulation in awake behaving animals, and developed bioinformatic tools that predict causal interactions within and between biological levels of organization. This integrative brain project is fitting for the interdisciplinary approaches taken in the current songbird issue of the Journal of Comparative Physiology A and is expected to be conducive to deciphering how brains generate and perceive complex behaviors.

DNA microarray technology: devices, systems, and applications

In this review, recent advances in DNA microarray technology and their applications are examined. The many varieties of DNA microarray or DNA chip devices and systems are described along with their methods for fabrication and their use. This includes both high-density microarrays for high-throughput screening applications and lower-density microarrays for various diagnostic applications. The methods for microarray fabrication that are reviewed include various inkjet and microjet deposition or spotting technologies and processes, in situ or on-chip photolithographic oligonucleotide synthesis processes, and electronic DNA probe addressing processes. The DNA microarray hybridization applications reviewed include the important areas of gene expression analysis and genotyping for point mutations, single nucleotide polymorphisms (SNPs), and short tandem repeats (STRs). In addition to the many molecular biological and genomic research uses, this review covers applications of microarray devices and systems for pharmacogenomic research and drug discovery, infectious and genetic disease and cancer diagnostics, and forensic and genetic identification purposes. Additionally, microarray technology being developed and applied to new areas of proteomic and cellular analysis are reviewed.

Isolation and characterization of genes associated with the anti-tumor activity of glucocorticoids

Treatment of ST1 rat glioma cells with glucocorticoid hormones leads to complete reversion of their transformed phenotype and loss of their tumorigenic potential. In order to study the molecular basis of the anti-tumor activity of these hormones, we isolated glucocorticoid-regulated cDNA sequences associated with ST1 cells' phenotypic reversion, using suppression subtractive hybridization (SSH). DNA sequencing of the subtracted cDNA pool, cloned into the pBluescript vector, revealed three widely expressed, well known negative growth regulators, namely, thrombospondin 1, cyclin G and tyrosine phosphatase CL100, as primary targets of glucocorticoid hormones. Additionally, a gene recently described in human brain, NRP/B (nuclear restricted protein in brain) that associates with p110Rb in induction of neuronal differentiation and a new truncated transcript of the tenascin-X gene family, are also shown to be up-regulated by glucocorticoids. The products of these genes are strong candidates to be important players in glucocorticoids anti-tumor activity.

A two-step strategy for constructing specifically self-subtracted cDNA libraries

We have developed a new strategy for producing subtracted cDNA libraries that is optimized for connective and epithelial tissues, where a few exceptionally abundant (super-prevalent) RNA species account for a large fraction of the total mRNA mass. Our method consists of a two-step subtraction of the most abundant mRNAs: the first step involves a novel use of oligo-directed RNase H digestion to lower the concentration of tissue-specific, super-prevalent RNAs. In the second step, a highly specific subtraction is achieved through hybridization with probes from a 3'-end ESTs collection. By applying this technique in skeletal muscle, we have constructed subtracted cDNA libraries that are effectively enriched for genes expressed at low levels. We further report on frequent premature termination of transcription in human muscle mitochondria and discuss the importance of this phenomenon in designing subtractive approaches. The tissue-specific collections of cDNA clones generated by our method are particularly well suited for expression profiling.

In silico approaches to mechanistic and predictive toxicology: an introduction to bioinformatics for toxicologists

Bioinformatics, or in silico biology, is a rapidly growing field that encompasses the theory and application of computational approaches to model, predict, and explain biological function at the molecular level. This information rich field requires new skills and new understanding of genome-scale studies in order to take advantage of the rapidly increasing amount of sequence, expression, and structure information in public and private databases. Toxicologists are poised to take advantage of the large public databases in an effort to decipher the molecular basis of toxicity. With the advent of high-throughput sequencing and computational methodologies, expressed sequences can be rapidly detected and quantitated in target tissues by database searching. Novel genes can also be isolated in silico, while their function can be predicted and characterized by virtue of sequence homology to other known proteins. Genomic DNA sequence data can be exploited to predict target genes and their modes of regulation, as well as identify susceptible genotypes based on single nucleotide polymorphism data. In addition, highly parallel gene expression profiling technologies will allow toxicologists to mine large databases of gene expression data to discover molecular biomarkers and other diagnostic and prognostic genes or expression profiles. This review serves to introduce to toxicologists the concepts of in silico biology most relevant to mechanistic and predictive toxicology, while highlighting the applicability of in silico methods using select examples.

Detection of differential gene expression in biofilm-forming versus planktonic populations of Staphylococcus aureus using micro-representational-difference analysis

Microbial proliferation and biofilm formation on biologic or inert substrates are characteristics of invasive Staphylococcus aureus infections and is associated with phenotypic alterations such as reduced antimicrobial susceptibility. To identify genes which are typically expressed in biofilms, a micro-representational-difference analysis (micro-RDA) was adapted for gram-positive bacteria and used with cDNA derived from populations of S. aureus DSM 20231 growing in a biofilm or plankonically. In comparison to previously described cDNA RDA protocols, micro-RDA has the advantages that only minimal quantities of total RNA are needed and, most importantly, that total RNA can be used since the large amount of rRNA in total RNA does not interfere with the micro-RDA procedure. Using a series of spiked controls with various amounts of MS2 RNA in a background of total RNA from S. aureus, the equivalent of five copies of MS2 per cell were detectable after three rounds of subtractive enrichment. Five genes were identified as being differentially expressed in biofilm versus planktonic cultures. These genes revealed homology to a threonyl-tRNA synthetase, a phosphoglycerate mutase, a triosephosphate isomerase, an alcohol dehydrogenase I, and a ClpC ATPase. Differential levels of expression were subsequently confirmed by standard Northern blotting. In conclusion, micro-RDA is a sensitive and specific method to detect transcripts differentially expressed as a function of different S. aureus growth conditions.

A cDNA RDA protocol using solid-phase technology suited for analysis in small tissue samples

cDNA representational difference analysis (cDNA RDA) is a PCR-based subtractive enrichment procedure for the cloning of differentially expressed genes. In this study, we have further developed the procedure to take advantage of solid-phase technology, and to facilitate the use of RDA when starting material is limited. Several parameters of the PCR-based generation of cDNA representations were investigated, and a solid-phase based purification step was introduced to simplify removal of digested adapter-ends and uncleaved fragments. The use of magnetic particles increased the speed of the method, and also eliminated the risk of carry-over contamination between iterative steps of subtraction and PCR amplification. The modified protocol was evaluated in monitoring differences in gene expression in (i) a rat system consisting of livers with and without growth hormone treatment, and in (ii) a human system consisting of normal colon and colon cancer.

Differential display and gene arrays to examine auditory plasticity

Differential gene expression forms the basis for development, differentiation, regeneration, and plasticity of tissues and organs. We describe two methods to identify differentially expressed genes. Differential display, a PCR-based approach, compares the expression of subsets of genes under two or more conditions. Gene arrays, or DNA microarrays, contain cDNAs from both known genes and novel genes spotted on a solid support (nylon membranes or glass slides). Hybridization of the arrays with RNA isolated from two different experimental conditions allows the simultaneous analysis of large numbers of genes, from hundreds to thousands to whole genomes. Using differential display to examine differential gene expression after noise trauma in the chick basilar papilla, we identified the UBE3B gene that encodes a new member of the E3 ubiquitin ligase family (UBE3B). UBE3B is highly expressed immediately after noise in the lesion, but not in the undamaged ends, of the chick basilar papilla. UBE3B is most similar to a ubiquitin ligase gene from Caenorhabditis elegans, suggesting that this gene has been conserved throughout evolution. We also describe preliminary experiments to profile gene expression in the cochlea and brain with commercially available low density gene arrays on nylon membranes and discuss potential applications of this and DNA microarray technology to the auditory system.

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.

Transcription of the inositol polyphosphate 1-phosphatase gene (INPP1) is upregulated in human colorectal cancer

We have used suppression subtractive hybridization to demonstrate significant overexpression of the inositol polyphosphate 1-phosphatase gene (INPP1) in colorectal cancer compared with matched normal colon epithelium. Its gene product catalyses the hydrolysis of inositol 1,3,4-trisphosphate and inositol 1, 4-bisphosphate, a key molecule in the phosphoinositide metabolic and signaling pathways. Following confirmation of the differential expression by reverse Northern dot blot analysis, fully quantitative Taqman reverse transcriptase-polymerase chain reaction assays showed that its transcription was upregulated in 42/49 colorectal tumors. There was no significant difference in four tumors and reduced transcription was observed in three. This is the first study to report the upregulation of the INPP1 gene in a human cancer and should facilitate further studies looking at the role of phosphatidylinositol signaling reactions in human colorectal cancer.

Representational difference analysis of cDNA for the detection of differential gene expression in bacteria: development using a model of iron-regulated gene expression in Neisseria meningitidis

Representational difference analysis of cDNA (cDNA RDA) provides a powerful technique for the identification of specific differences between two mRNA populations. The method has previously been used to analyse differential gene expression in eukaryotes, but until now has not been successfully applied to prokaryotes. A strain of Neisseria meningitidis with a deletion of the iron-regulated lactoferrin-binding protein A (IbpA) gene, grown under iron-replete conditions, and the isogenic parent strain, grown under iron limitation, were used as a model for developing cDNA RDA for use with bacteria. In this system, the technique should specifically detect the differential expression of the IbpA gene in the parent strain, along with other genes whose expression is switched on (or up-regulated) under iron-deficient conditions. Since cDNA RDA requires high-quality, representative mRNA, a variety of methods for the isolation of RNA were evaluated. A triisopropylnaphthalene sulphonic acid/ p-aminosalicylic acid-based technique was found to give the best results. cDNA was prepared from total RNA isolated from the two N. meningitidis strains and subjected to an adapted cDNA RDA procedure. The method resulted in the amplification of five major PCR products, which included fragments of the IbpA gene and the iron-regulated RTX-like toxin gene (frpC), thus validating the technique for use with bacteria.

The Merck Gene Index project

The Merck Gene Index project (MGIP) fills an important niche in the Human Genome Project by directly identifying genes through sequences of their transcripts and placing in the public domain a set of EST sequences and associated clones for the uniquely expressed human genes. The MGIP promotes the unrestricted exchange of human genomic data, and facilitates progress in biomedical research by reducing duplication of efforts, speeding the identification of disease-related genes and furthering our understanding of disease processes. The project is stimulating biological research, which in turn is the driving force in drug discovery today.

Application of differential cDNA screening techniques to the identification of unique gene expression in tumours and lymphocytes

Development, differentiation and cell death in all organisms are mediated by tightly regulated programs of differential gene expression. Furthermore, changes in gene expression profiles are responsible for tumour formation and tumour progression, as well as for many other human diseases. Thus, the definition of distinct patterns of gene expression is not only essential for understanding complex biological processes but also leads to the identification of novel targets for therapy of various diseases.