Novel gene transcripts preferentially expressed in human muscles revealed by quantitative hybridization of a high density cDNA array

Determining the Likelihood of Disease Pathogenicity Among Incidentally Identified Genetic Variants in Rare Dilated Cardiomyopathy-Associated Genes

Background As utilization of clinical exome sequencing (ES) has expanded, criteria for evaluating the diagnostic weight of incidentally identified variants are critical to guide clinicians and researchers. This is particularly important in genes associated with dilated cardiomyopathy (DCM), which can cause heart failure and sudden death. We sought to compare the frequency and distribution of incidentally identified variants in DCM-associated genes between a clinical referral cohort with those in control and known case cohorts to determine the likelihood of pathogenicity among those undergoing genetic testing for non-DCM indications. Methods and Results A total of 39 rare, non-TTN DCM-associated genes were identified and evaluated from a clinical ES testing referral cohort (n=14 005, Baylor Genetic Laboratories) and compared with a DCM case cohort (n=9442) as well as a control cohort of population variants (n=141 456) derived from the gnomAD database. Variant frequencies in each cohort were compared. Signal-to-noise ratios were calculated comparing the DCM and ES cohort with the gnomAD cohort. The likely pathogenic/pathogenic variant yield in the DCM cohort (8.2%) was significantly higher than in the ES cohort (1.9%). Based on signal-to-noise and correlation analysis, incidental variants found in FLNC, RBM20, MYH6, DSP, ABCC9, JPH2, and NEXN had the greatest chance of being DCM-associated. Conclusions The distribution of pathogenic variants between the ES cohort and the DCM case cohort was gene specific, and variants found in the ES cohort were similar to variants found in the control cohort. Incidentally identified variants in specific genes are more associated with DCM than others.

Systems Biology in Periodontitis

Systems biology is a promising scientific discipline that allows an integrated investigation of host factors, microbial composition, biomarkers, immune response and inflammatory mediators in many conditions such as chronic diseases, cancer, neurological disorders, and periodontitis. This concept utilizes genetic decoding, bioinformatic, flux-balance analysis in a comprehensive approach. The aim of this review is to better understand the current literature on systems biology and identify a clear applicability of it to periodontitis. We will mostly focus on the association between this condition and topics such as genomics, transcriptomics, proteomics, metabolomics, as well as contextualize delivery systems for periodontitis treatment, biomarker detection in oral fluids and associated systemic conditions.

Whole-genome resequencing of large yellow croaker (Larimichthys crocea) reveals the population structure and signatures of environmental adaptation

Large yellow croaker is an economically important fish in China and East Asia. Despite its economic importance, genome-wide adaptions of domesticated large yellow croaker are largely unknown. Here, we performed whole-genome resequencing of 198 individuals of large yellow croaker obtained in the sea or from farmers in Zhoushan or Ningde. Population genomics analyses revealed the genetic population structure of our samples, reflecting the living environment. Each effective population size is estimated to be declining over generations. Moreover, we identified genetically differentiated genomic regions between the sea-captured population in the Zhoushan Sea area and that of the Ningde Sea area or between the sea-captured population and the farmed population in either area. Gene ontology analyses revealed the gene groups under selective sweep for the adaptation to the domesticated environment. All these results suggest that individuals of the large yellow croaker populations show genomic signatures of adaptation to different living environments.

DNA Chips: The Future of Biomarkers

DNA chips are small, solid supports such as microscope slides onto which thousands of cDNAs or oligonucleotides are arrayed, representing known genes or simply EST clones, or covering the entire sequence of a gene with all its possible mutations. Fluorescently labeled DNA or RNA extracted from tissues is hybridized to the array. Laser scanning of the chip permits quantitative evaluation of each individual complementary sequence present in the sample.

DNA chip technology is currently being proposed for qualitative and quantitative applications, firstly for the detection of point mutations, small deletions and insertions in genes involved in human diseases or affected during cancer progression; secondly, to determine on a genome-wide basis the pattern of gene expression in tumors, as well as in a number of experimental situations.

The extraordinary power of DNA chips will have a strong impact on medicine in the near future, both in the molecular characterization of tumors and genetic diseases and in drug discovery and evaluation. Quantitative applications will soon spread through all fields of biology.

The Discovery of Novel Genomic, Transcriptomic, and Proteomic Biomarkers in Cardiovascular and Peripheral Vascular Disease: The State of the Art

Cardiovascular disease (CD) and peripheral vascular disease (PVD) are leading causes of mortality and morbidity in western countries and also responsible of a huge burden in terms of disability, functional decline, and healthcare costs. Biomarkers are measurable biological elements that reflect particular physiological or pathological states or predisposition towards diseases and they are currently widely studied in medicine and especially in CD. In this context, biomarkers can also be used to assess the severity or the evolution of several diseases, as well as the effectiveness of particular therapies. Genomics, transcriptomics, and proteomics have opened new windows on disease phenomena and may permit in the next future an effective development of novel diagnostic and prognostic medicine in order to better prevent or treat CD. This review will consider the current evidence of novel biomarkers with clear implications in the improvement of risk assessment, prevention strategies, and medical decision making in the field of CD.

A history of microarrays in biomedicine

The fundamental strategy of the current postgenomic era or the era of functional genomics is to expand the scale of biologic research from studying single genes or proteins to studying all genes or proteins simultaneously using a systematic approach. As recently developed methods for obtaining genome-wide mRNA expression data, oligonucleotide and DNA microarrays are particularly powerful in the context of knowing the entire genome sequence and can provide a global view of changes in gene expression patterns in response to physiologic alterations or manipulation of transcriptional regulators. In biomedical research, such an approach will ultimately determine biologic behavior of both normal and diseased tissues, which may provide insights into disease mechanisms and identify novel markers and candidates for diagnostic, prognostic and therapeutic intervention. However, microarray technology is still in a continuous state of evolution and development, and it may take time to implement microarrays as a routine medical device. Many limitations exist and many challenges remain to be achieved to help inclusion of microarrays in clinical medicine. In this review, a brief history of microarrays in biomedical research is provided, including experimental overview, limitations, challenges and future developments.

Identification of Differentially Expressed Genes in Mouse Spermatogenesis

Complementary DNA microarray and quantitative polymerase chain reaction were used as tools for discovering genes that are differentially expressed in the mouse under normal physiological conditions at distinctive stages of male germ cell development, that is, type A spermatogonia, pachytene spermatocytes, and round spermatids. By using this strategy, we identified a set of genes exhibiting differential expression patterns in spermatogenesis, suggesting that specific functions of the encoded products occurred during the developmental process. Among them were several genes previously not known to be active in testis, which signified undiscovered functional roles of these genes during spermatogenesis. Many of the genes identified were not previously characterized. This study highlights new targets for manipulation to unravel the molecular mechanism of spermatogenesis.

An gene expression pattern

DNA microarray technology has become a powerful tool in the arsenal of the molecular biologist. Capitalizing on high-precision robotics and the wealth of DNA sequences annotated from the genomes of a large number of organisms, the manufacture of microarrays is now possible for the average academic laboratory with the funds and motivation. Microarray production requires attention to both biological and physical resources, including DNA libraries, robotics, and qualified personnel. Although the fabrication of microarrays is a very labor-intensive process, production of quality microarrays individually tailored on a project-by-project basis will help researchers shed light on future scientific questions.

Genomics and proteomics: a new approach for assessing thrombotic risk in autoimmune diseases

Several systemic autoimmune conditions, including rheumatoid arthritis, systemic lupus erythematosus and antiphospholipid syndrome, are characterised by enhanced atherosclerosis and, consequently, higher cardiovascular morbidity and mortality rates. The association of these diseases with atherosclerosis suggests a common pathogenic mechanism. Genomic and proteomic studies performed on atherosclerotic plaques have further confirmed the presence of a gene and protein profile similar to that observed in autoimmune diseases with cardiovascular risks. Human sera and body fluids have been analysed and have resulted in the identification of auto-antibodies that can be used as diagnostic markers in specific autoimmune diseases, and proteomic fingerprints of blood cells, tissues and body fluids have resulted in the identification of individual proteins or patterns of protein expression that are deregulated. The information provided by these proteomic studies is of diagnostic and therapeutic potential. In this review, we discuss new approaches available for assessing thrombotic risk in autoimmune diseases, focusing in the genomic and proteomic methods now available to deep into the origin of the mechanisms associated with vascular involvement in systemic autoimmune diseases. The increasing data available suggests that when treating patients with these autoimmune disorders, paying attention to the increased risk of cardiovascular disease is essential.

Differentially transcribed genes in skeletal muscle of Duroc and Taoyuan pigs

The objective of this study was to compare gene transcription profiles of LM between two pig breeds, Duroc and Taoyuan, which display dramatically different postnatal muscle growth. We isolated LM from neonatal pigs, and the Duroc muscle length and mass were greater (P < 0.01) than for Taoyuan pigs; however, insignificant differences in the muscle fiber area and the percentage of fiber types were found. A human high-density complementary DNA (cDNA) microarray consisting of 9,182 probes was used to compare gene transcription profiles of LM between the two breeds. The results showed that the transcription level of 73 genes and 44 genes in Duroc LM were upregulated and down-regulated by at least 1.75-fold (P < 0.05) compared with Taoyuan, respectively. The strongly upregulated genes in Duroc pigs included those encoding the complex of myofibrillar proteins (e.g., myosin light and heavy chains, and troponin), ribosomal proteins, transcription regulatory proteins (e.g., skeletal muscle LIM protein 1 [SLIM1] and high-mobility group proteins), and energy metabolic enzymes (e.g., electron-transferring flavo-protein dehydrogenase, NADH dehydrogenase, malate dehydrogenase, and ATP synthases). The highly transcribed genes that encode energy metabolic enzymes indicate a more glycolytic metabolism in Duroc LM, thereby favoring carbohydrates rather than lipids for use as energy substrates in this tissue. The over-transcribed genes that encode skeletal muscle-predominant proteins or transcription regulators that control myogenesis and/or muscle growth suggest a general mechanism for the observed higher rate of postnatal muscle growth in Duroc pigs. The transcription of one such gene, SLIM1, was more highly transcribed (P < 0.01) in Duroc LM at birth and at postnatal d 7 than in Taoyuan. The transcription of SLIM1 increased (P < 0.05) in Duroc LM from neonate through 7 d of age, whereas its transcription remained essentially constant in Taoyuan during this period. These results suggest that SLIM1 may be useful for the development of markers associated with the postnatal muscle growth of pigs.

Molecular profiling of hematopoietic stem cells

Gene expression profiling using microarrays is a powerful method for studying the biology of hematopoietic stem cells (HSCs). Here, we present methods for activating HSCs with the chemotherapeutic drug 5-Fluorouracil, isolating HSCs from whole bone marrow, and performing microarray analysis. We also discuss quality control criteria for identifying good arrays and bioinformatics strategies for analyzing them. Using these methods, we have characterized the gene expression signatures of HSC quiescence and proliferation and have constructed a molecular model of HSC activation and self-renewal.

Cancer development and progression

Cancer development and progression is a complex process that involves a host of functional and genetic abnormalities. Genomic perturbations and the gene expression they lead to, can now be globally identified with the use of DNA microarray. This relatively new technology has forever changed the scale of biological investigation. The enormous amount of data generated via a single chip has led to major global studies of the cellular processes underlying malignant transformation and progression. The multiplicity of platforms from different proprietors has offered investigators flexibility in their experimental design. Additionally, there are several more recent microarrays whose designs were inspired by the nucleotide-based technology. These include protein, multi-tissue, cell, and interference RNA microarrays. Combinations of microarray and other contemporary scientific methods, such as, laser capture microdissection (LCM), comparative genomic hybridization (CGH), single nucleotide polymorphism analysis (SNP) and chromatin immunoprecipitation (ChIP), have created entirely new fields of interest in the more global quest to better define the molecular basis of malignancy. In addition to basic science applications, many clinical inquiries have been performed. These queries have shown microarray to have clinical utility in cancer diagnosis, risk stratification, and patient management.

Differential gene expression in coronary arteries from patients presenting with ischemic heart disease: further evidence for the inflammatory basis of atherosclerosis

BACKGROUND AND OBJECTIVE

The pathogenesis of human coronary artery disease (CAD) is likely to require the transcription of many different genes. We report here the differential gene expression profiling of human CAD using copy DNA (cDNA)/nylon array hybridization techniques.

METHODS AND RESULTS

Human coronary arteries were obtained at the time of cardiac transplantation. Ten patients were transplanted for ischemic heart disease (IHD) and 5 for dilated cardiomyopathy (DCM). We generated a customized cDNA array containing 9206 clones and after hybridization of patient samples, data reduction, and refinement, identified 515 sequence-verified, differentially expressed clones. These clones represented 361 genes that were differentially expressed at significant levels between IHD and DCM arteries (t test, P < .05). Of these clones, 70% were defined genes of known function and 30% were genes of unknown function. Of the differentially expressed genes, 53.6% were up-regulated and 46.4% were down-regulated. Hierarchical clustering was performed and several distinct functional clusters were identified, including a cluster of genes related to inflammatory mechanisms. Validation by real-time polymerase chain reaction was undertaken with 2 genes known to be up-regulated in atherosclerosis (interleukin 1beta [IL-1beta] and IL-8) and 2 novel genes identified by the array analysis (signal transducer and activator of transcription 6 [STAT6] and IL-1 receptor-associated kinase [IRAK]). Differential expression of IL-1beta, IL-8, and STAT6 were confirmed by this method. Immunohistochemistry of STAT6 demonstrated increased expression in vascular smooth muscle cells of IHD coronary arteries.

CONCLUSION

These data support the inflammatory basis of human atherosclerotic CAD and identify novel genes in atherosclerosis.

Gene expression profiles of HeLa Cells impacted by hepatitis C virus non-structural protein NS4B

By a cDNA array representing 2308 signal transduction-related genes, we studied the expression profiles of HeLa cells stably transfected by Hepatitis C virus nonstructural protein 4B (HCV-NS4B). The alterations of the expression of four genes were confirmed by real-time quantitative RTPCR; and the aldo-keto reductase family 1, member C1 (AKR1C1) enzyme activity was detected in HCV-NS4B transiently transfected HeLa cells and Huh-7, a human hepatoma cell line. Of the 2,308 genes we examined, 34 were up-regulated and 56 were down-regulated. These 90 genes involved oncogenes, tumor suppressors, cell receptors, complements, adhesions, transcription and translation, cytoskeleton and cellular stress. The expression profiling suggested that multiple regulatory pathways were affected by HCV-NS4B directly or indirectly. And since these genes are related to carcinogenesis, host defense system and cell homeostatic mechanism, we can conclude that HCV-NS4B could play some important roles in the pathogenesis mechanism of HCV.

Identification of Differentially Regulated Genes During Elongation and Early Implantation in the Ovine Trophoblast Using Complementary DNA Array Screening1

Following hatching, pre-elongated conceptuses undergo elongation by intense proliferation, until implantation. We investigated the changes in gene expression associated with these physiological events using human cDNA arrays containing 2370 known genes. Comparison of pre-elongated, elongated, and implanting trophoblasts allowed the determination of 313 expressed genes, 63 of which were differentially regulated. These were classified into four functional families. Pre-elongated trophoblasts were characterized by preferential expression of genes involved in protein trafficking, whereas only latter developmental stages expressed cell signaling genes and receptors. Among the 63 developmentally regulated genes, four exhibited the highest levels of expression (TMSB10, CTNNA1, NMP1, and CX3CL1). Each of these also represents a functional family and display a specific expression pattern. One of them, CX3CL1 (CX3C chemokine, also known as fractalkine), is a chemokine that seems to have potential importance in trophoblast development, and which deserves further clarification of its role in implantation.

Biochemical and transcriptomic analyses of two bovine skeletal muscles in Charolais bulls divergently selected for muscle growth

This work aimed to investigate the consequences of muscle growth selection on muscle characteristics. An oxidative muscle (Rectus abdominis, RA) and a glycolytic one (Semitendinosus, ST) were studied in two groups of six extreme young Charolais bulls of high or low muscle growth. Mitochondrial activity was lower in muscles of bulls with high muscle growth. Transcriptomic studies allowed the identification of putatively differentially expressed genes. The differential expression between genetic types of two genes in RA (a heat shock protein and a thyroid receptor interacting protein) and of seven genes in ST (including LEU5, tropomyosin 2, and sarcosin) was confirmed by different statistical approaches or Northern blot analysis, as well as the differential expression of five genes (including PSMD4 and DPM synthase) between RA and ST. Both biochemical and transcriptomic results indicate that selection on muscle growth potential is associated with reduced slow-oxidative muscle characteristics. Further studies are required to understand the physiological importance of genes whose expression is changed by selection.

A collection of bovine cDNA probes for gene expression profiling in muscle

Array technology has been increasingly used to monitor global gene expression patterns in various tissues and cell types. However, applications to muscle development and pathology as well as meat production in livestock species have been hampered by the lack of appropriate cDNA collections. To overcome this problem, a directed cDNA library was constructed starting from 23 muscles of meat-producing bovines to derive a collection of 3573 clones. A preliminary sequence characterization of this collection indicated that the most abundant transcripts correspond to genes encoding proteins involved in energy metabolism (COX and NADH dehydrogenase subunits) and belonging to the contractile apparatus (myosin chains and troponin isoforms). From this cDNA library, we selected a set of 435 clones representing 340 unique genes, of which 24 were novel. This collection was subsequently completed with 75 specific cDNA probes for genes of interest already studied in our laboratory. The bovine 'muscle' cDNA repertoire thus designed was spotted onto a nylon membrane (macroarray) in order to test its utility to further investigate the transcriptome of bovine muscles in relation to meat quality traits. It is also anticipated that this type of collection might be useful for the study of chronic myologic diseases in other mammalian species, including humans.

Gene expression profiling: from microarrays to medicine

With the mapping of the human genome comes the ability to identify genes of interest in specific diseases and the pathways involved therein. Laboratory technology has evolved in parallel, providing us with the ability to assay thousands of these genes at once, a technique known as microarray analysis. The main #x003Fion that this type of technology raises is how we can apply this powerful technology to clinical medicine. Recently, advances in data analysis, as well as standardization of the technology, have allowed us to examine this #x003Fion, and indeed a few clinical trials currently being performed include microarrays as part of their protocol. In this review we outline the microarray technique and describe these types of studies in further detail.

Characterization of a new human isoform of the enigma homolog family specifically expressed in skeletal muscle

We have identified a fourth member of the enigma homolog (ENH) family within a pool of human transcripts specifically expressed in skeletal muscle tissue. This new ENH isoform of 215 amino acids is the shorter of the family, it lacks the C-terminal LIM domains present in ENH1 but contains the N-terminal PDZ domain. Northern blot analysis confirmed the muscle specificity of ENH4. Western blot studies of muscle tissues using a non-isoform-specific anti-ENH antibody revealed that ENH4 is present only in skeletal muscle and that there is a specific distribution of ENH members between skeletal and cardiac muscles, which is different in human and mouse. ENH4 was found to co-localize in the sarcomeric Z-band and to interact with alpha-actinin like the other members of the ENH family. Two additional new ENH4 partners of about 34 and 54kDa were also identified. These results bring new lights on the ENH protein family members.

Cross-species hybridization: characterization of gene expression in woodchuck liver using human membrane arrays

Total RNA from normal adult woodchucks was analyzed using membrane arrays containing human cDNA clones, and the gene expression patterns were compared to human liver. Various hybridization and wash conditions were examined. In both the woodchuck and human livers, 352 genes were identified as highly expressed (Z-scores > or =1.96). These genes represented numerous liver functions: transcription, RNA processing, signal transduction, protein synthesis and degradation, as well as enzymes. Several genes were selected and expression was verified by Northern blots for woodchuck liver. There were no false positives but 29 genes were identified as false negatives, expressed only in human liver. Possible reasons for these false negatives were the length and percentage of homology between the two species, differences in the distribution and types of mismatches, and the sequence region spotted on the array. These were assessed by examining expression of the transferrin gene in both species. A 200-fold range of RNA concentration (0.1-20 microg total RNA) was also examined and the optimal RNA concentration was determined to be 5 microg. Membranes were capable of being hybridized and reprobed at least five times. The study demonstrates that cross-species hybridization is a valid method for identifying gene expression in woodchuck liver.

Gene expression profiling of the tetrapyrrole metabolic pathway in Arabidopsis with a mini-array system

Tetrapyrrole compounds, such as chlorophylls, hemes, and phycobilins, are synthesized in many enzymatic steps. For regulation of the tetrapyrrole metabolic pathway, it is generally considered that several specific isoforms catalyzing particular enzymatic steps control the flow of tetrapyrrole intermediates by differential regulation of gene expression depending on environmental and developmental factors. However, the coordination of such regulatory steps and orchestration of the overall tetrapyrrole metabolic pathway are still poorly understood. In this study, we developed an original mini-array system, which enables the expression profiling of each gene involved in tetrapyrrole biosynthesis simultaneously with high sensitivity. With this system, we performed a transcriptome analysis of Arabidopsis seedlings in terms of the onset of greening, endogenous rhythm, and developmental control. Data presented here clearly showed that based on their expression profiles at the onset of greening, genes involved in tetrapyrrole biosynthesis can be classified into four categories, in which genes are coordinately regulated to control the biosynthesis. Moreover, genes in the same group were similarly controlled in an endogenous rhythmic manner but also by a developmental program. The physiological significance of these gene clusters is discussed.

Zyxin is up-regulated during megakaryocytic differentiation of human UT-7/c-mpl cells

To characterize genes involved in megakaryocytic commitment, we compared expression profiles of bipotent cells (UT-7/c-mpl) with those of the same cells induced to differentiate towards megakaryopoiesis in the presence of TPO. Using cDNA arrays, we showed that 12 out of 2260 genes changed their expression level after 6h of TPO stimulation. One of these genes encodes for zyxin, a cytoskeleton protein component. Zyxin is up-regulated at the mRNA and protein levels in UT-7/c-mpl cells in response to TPO confirming the reliability of the cDNA array technology. Similarly, when CD34 positive cells were induced to differentiate into megakaryocytes, zyxin mRNA was accumulated. Furthermore, when megakaryocytes were allowed to spread on fibrinogen, formation of stress fibers and lamellipodia was induced and zyxin was localized at the picks of actin stress fibers. These results suggest an important role for zyxin during megakaryocytic differentiation and more precisely in the regulation of the integrin mediated adhesion process in megakaryocytes.

Gene expression profiling of embryonic stem cells leads to greater understanding of pluripotency and early developmental events

Embryonic stem cells are characterized by their ability to propagate indefinitely in culture, maintaining a normal karyotype and their undifferentiated state. They have the potential of differentiating into any specialized cell type in the body. An understanding of the transcriptional profile related to pluripotency and early development is necessary to better tap their developmental potential and also maintain their undifferentiated phenotype. Currently, several techniques are in use to ascertain the gene expression profile of embryonic stem cells. This review summarizes the information generated using microarray and other approaches on the gene expression analyses of stem cells in both mouse and human cell lines. We also discuss specific approaches useful in future studies aimed at further deciphering the pluripotent nature of human embryonic stem cells.

Reproducibility, Sources of Variability, Pooling, and Sample Size: Important Considerations for the Design of High-Density Oligonucleotide Array Experiments

We have undertaken a series of experiments to examine several issues that directly affect design of gene expression studies using Affymetrix GeneChip arrays: probe-level analysis, need for technical replication, relative contribution of various sources of variability, and utility of pooling RNA from different samples. Probe-level data were analyzed by Affymetrix MAS 5.0, and three model-based methods, PM-MM and PM-only models by dChip, and the RMA model by Bioconductor, with the latter two providing the best performance. We found that replicate chips of the same RNA have limited value in reducing total variability, and for relatively highly expressed genes in this biologically homogeneous animal model of aging, about 11% of total variation is due to day effects and the remainder is approximately equally split between sample and residual sources. We also found that pooling samples is neither advantageous nor detrimental. Finally we suggest a strategy for sample size calculations using formulas appropriate when coefficients of variation are known, target effects are expressed as fold changes, and data can be assumed to be approximately lognormally distributed.

Differences in lymphocyte gene expression between tolerant and syngeneic liver grafted rats

Induction of tolerance to allogeneic donor grafts is a clinically desirable goal in bone marrow and solid organ transplantation. We have taken the advantage of DNA microarray technology to investigate gene expression mechanism in regulatory cells. In the present study, using a tacrolimus (FK506) induced tolerance of the fully mismatched liver allograft rat model, we demonstrated that, in contrast with peripheral blood lymphocytes (PBLs) from syngeneic recipients, PBLs taken from tolerant recipients 100 days after transplantation were able to suppress the in vitro proliferation of allogeneic PBLs and to prolong the survival of second syngeneic recipients. We also compared messenger RNA profiles in PBLs from tolerant recipients with those from syngeneic recipients using a DNA microarray with probe sets corresponding to more than 8000 rat genes. There were 96 up-regulated and 103 down-regulated genes in the tolerant recipients. In the up-regulated group, there were 76 known genes and 20 expressed sequence tags (ESTs). In the down-regulated groups, there were 87 known genes and 16 ESTs. Our data indicated that FK506 treatment induced tolerance and expansion of regulatory cells and the DNA microarray technology was useful for this application and provided many informative insights into the mechanism of lymphocyte regulation.

Microarray analysis of differentiation-specific gene expression during 3T3-L1 adipogenesis

During cellular differentiation and development, it is recognized that many complex molecular mechanisms as well as precise patterns of differentially expressed genes occur in directing precursor cells toward a given lineage. Using microarray-based technology, we examined gene expression across the course of 3T3-L1 adipocyte differentiation. Total cellular RNA was isolated at times 0, 2, 8, 16, 24, 48, and 96 h following treatment with either standard hormonal inducers of differentiation; insulin, dexamethasone, isobutylmethylxanthine (IDX), or IDX plus trichostatin A (TsA), a histone deacetylase inhibitor and potent adipogenic inhibitor. cRNA was synthesized from cellular RNA and hybridized to high density Affymetrix MG_U74Av2 microarray gene chips containing 12,488 cDNA/Expressed Sequence Tags (ESTs) probe sets. From the IDX-only treated cells, all probe sets that were either unchanged or differentially expressed less than 2-fold throughout differentiation with respect to time 0 preadipocytes were excluded from further analyses. This selection resulted in a net of 1686 transcripts, 859 were increased in expression, and 827 were decreased in expression at least 2-fold across differentiation. To focus in on genes that were more specific to differentiation, the same analysis was performed on IDX plus TsA-treated non-differentiating cells and all probe sets from the IDX-only group that exhibited similar expression profiles in the non-differentiating TsA-treated group were excluded leaving a total of 1016 transcripts that were regulated only under differentiating conditions. Six hundred and thirty-six of these transcripts were elevated at least 2-fold and 380 exhibited a decrease in expression relative to time 0 preadipocytes. This group of genes was further analyzed using hierarchical clustering and self-organizing maps and resulted in the identification of numerous genes not previously known to be regulated during adipocyte differentiation. Many of these genes may well represent novel adipogenic mediators and markers of adipogenesis.

Multiclass classification of microarray data with repeated measurements: application to cancer

Prediction of the diagnostic category of a tissue sample from its gene-expression profile and selection of relevant genes for class prediction have important applications in cancer research. Uncorrelated shrunken centroid and error-weighted, uncorrelated shrunken centroid algorithms have been developed that are applicable to microarray data with any number of classes.

Prediction of the diagnostic category of a tissue sample from its gene-expression profile and selection of relevant genes for class prediction have important applications in cancer research. We have developed the uncorrelated shrunken centroid (USC) and error-weighted, uncorrelated shrunken centroid (EWUSC) algorithms that are applicable to microarray data with any number of classes. We show that removing highly correlated genes typically improves classification results using a small set of genes.

Glycosylphosphatidyl inositol-anchored protein (GPI-80) gene expression is correlated with human thymoma stage

Thymoma is one of the most common solid tumors in the mediastinum. Because there is no typical cell line for human thymoma, the development and use of molecular-based therapy for thymoma will require detailed molecular-genetic analysis of patients' tissues. Recent reports showed that genetic aberrations in thymoma were most frequently seen in chromosome 6q regions. We investigated the use of oligonucleotide arrays to monitor in vivo expression levels of genes in chromosome 6 regions in early- (stage I or II) and late- (stage IVa) stage thymoma tissues from patients. These in vivo gene expression profiles were verified by real-time quantitative reverse transcription polymerase chain reaction (RT-PCR) using LightCycler for 48 thymoma patients and sandwich ELISA for 33 thymoma patients. Using both methods, a candidate gene was identified which was overexpressed in stage IV thymoma. This was a known glycosylphosphatidyl inositol (GPI)-anchored protein (GPI-80), which is highly homologous with Vanin-1, a mouse thymus homing protein. Serum level of GPI-80 was confirmed to be elevated in stage IV thymoma compared with in stage I thymoma by using sandwich ELISA. The combined use of oligonucleotide microarray, real-time RT-PCR, and ELISA analyses provides a powerful new approach to elucidate the in vivo molecular events surrounding the development and progression of thymoma.

A new tool for rheumatology: large-scale analysis of gene expression

Large-scale analysis of gene expression with cDNA arrays is spreading over many biological fields, including rheumatology. In this report, we wish to explain the principle and main advantages of this tool in the context of our discipline. Until 1995, analysis of gene expression was conducted for a few genes at a time but DNA chips now allow one to monitor the expression of thousands of genes in a single experiment and analyze the transcriptome, i.e. the whole of the transcripts in a given cell or tissue. Whatever the platform used (macro- or microarrays, oligo-chips), this technology rests upon the hybridization of i) a set of cDNA clones tethered to a solid support (nylon or glass) as probes, and ii) labelled cDNAs that are reverse-transcribed from bulk mRNAs extracted from a cell or tissue sample as a target. The end result is information on the relative abundance of every mRNA between two or more samples. The transcriptome analysis has two main objectives in rheumatology: i) identifying a gene expression profile that is a hallmark of a pathology and using it for a diagnostic or prognostic purpose, and ii) gathering genes with similar changes of expression, which allows one to specify the identity of novel proteins involved in a well-known intracellular cascade of regulation or even to identify new cascades.

Cell-type and donor-specific transcriptional responses to interferon-alpha. Use of customized gene arrays

A sensitive, specific, reproducible, robust, and cost-effective customized cDNA array system based on established nylon membrane technology has been developed for convenient multisample expression profiling for several hundred genes of choice. The genes represented are easily adjusted (depending on the availability of corresponding cDNAs) and the method is accordingly readily applicable to a wide variety of systems. Here we have focused on the expression profiles for interferon-alpha2a, the most widely used interferon for the treatment of viral hepatitis and malignancies, in primary cells (peripheral blood mononuclear cells, T cells, and dendritic cells) and cell lines (Kit255, HT1080, HepG2, and HuH7). Of 150 genes studied, only six were consistently induced in all cell types and donors, whereas 74 genes were induced in at least one cell type. IRF-7 was identified as the only gene exclusively induced in the hematopoietic cells. No gene was exclusively induced in the nonhematopoietic cell lines. In T cells 12, and in dendritic cells, 25 genes were induced in all donors whereas 45 and 42 genes, respectively, were induced in at least one donor. The data suggest that signaling through IFN-alpha2 can be substantially modulated to yield significant cell-type and donor-specific qualitative and quantitative differences in gene expression in response to this cytokine under highly standardized conditions.

Outliers involving the Poly(A) effect among highly-expressed genes in microarrays

BACKGROUND

The Poly(A) effect is a cross-hybridization artifact in which poly(T)-containing molecules, which are produced by the reverse transcription of a poly(A)+ RNA mixture, bind promiscuously to the poly(A) stretches of the DNA in microarray spots. It is customary to attempt to block such hybridization by adding poly(A) to the hybridization solution. This note describes an experiment intended to evaluate circumstances under which the blocking procedure may not have been successful.

RESULTS

The experiment involves a spot-by-spot comparison between the hybridization signals obtained by hybridizing a microarray to: (1) end-labeled oligo(dT), versus, (2) cDNA prepared from muscle tissue. We found that the blocking appears to be successful for the vast majority of microarray spots, as evidenced by the weakness of the correlation between signals (1) and (2). However, we found that for microarray spots having oligo(dT) hybridization levels greater than a certain threshold, the blocking might be ineffective or incomplete, as evidenced by an exceptionally strong signal (2) whenever signal (1) is greater than the threshold.

CONCLUSION

The PolyA effect may be more subtle than simply a hybridization signal that is proportional to the PolyA content of each microarray spot. It may instead be present only in spots that hybridize oligo(dT) greater than some threshold level. The strong signal generated at these "outlier" spots by cDNA probes might be due to the formation of hybridization heteropolymers.

Historical background and anticipated developments

Expression profiling using DNA arrays is often believed to have appeared during the second half of the 1990s, and to be based exclusively on nonisotopic methods. In fact, the first article describing the application of cDNA arrays to expression analysis was published in 1992, relied on radioactive labeling, and was a new development of "high-density" membranes used until then essentially for efficient screening of libraries. Several papers described the use of this technology for simultaneous expression measurement of thousands of genes at the time when the first glass microarrays were published. Simultaneously, oligonucleotide chips, originally developed for resequencing and mutation detection applications, were shown to be capable of expression measurement as well. The three approaches have developed over the years and still coexist, as each of them has specific advantages (and drawbacks); the major issues have become those of data quality, data analysis and storage (ideally in a common public database). Meanwhile, the technology continues to evolve. The most obvious trend is a shift towards using arrays of relatively long oligonucleotides that combine most of the advantages of very long (cDNA) and very short (25-mer) DNA segments. The search for better detection methods, ideally without labeling of the sample, is continuing, although it seems difficult to reach the required sensitivity. New materials for microarray manufacture and new implementations of existing methods have appeared. In addition, the field is progressively becoming segmented into high gene number, low volume (research) applications on the one hand, and low gene number, high throughput (diagnostic) uses on the other.

Improving DNA array data quality by minimising 'neighbourhood' effects

Gene expression studies using cDNA arrays require robust and sensitive detection methods. Being extremely sensitive, radioactive detection suffers from the influence of signals positioned in each other's vicinity, the 'neighbourhood' effect. This limits the gene density of arrays and the quality of the results obtained. We have investigated the quantitative influence of different parameters on the 'neighbourhood' effect. By using a model experimental system, we could show that the effect is linear and depends only on the intensity of the hybridisation signal. We identified a common factor that can describe the influence of the neighbour spots based on their intensities. This factor is <1%, but it has to be taken into account if a high dynamic range of gene expression is to be detected. We could also derive the factor, although with less precision, from comparison of duplicate spots on arrays of 4565 different clones and replication of the hybridisation experiments. The calculated coefficient applied to our actual experimental results not only revealed previously undetected tissue or cell-specific expression differences, but also increased the dynamic range of detection. It thus provides a relatively simple way of improving DNA array data quality with few experimental modifications.

Reproducibility of targeted gene expression measurements in human islets of Langerhans

The expression of 47 genes involved in the biosynthesis and secretion of insulin, apoptosis, and cellular stress was evaluated in isolated human islets using cDNA probes arrayed on nitrocellulose membranes. Isolated human islets were cultured for four days, or one month, with glucose present at a concentration of either 5.5 or 16.7 mmol/L. Extracted islet total RNA was used to generate [32P]dATP-labelled complex cDNA targets and hybridised with immobilised cDNA arrays. The positive expression of 45 mRNA transcripts in isolated human islets was documented. The coefficient of variance for relative levels of expression of transcripts was <25% for 9, 25-50% for 22, and 50-100% for 10, indicating good reproducibility between islet preparations from five different human pancreas donors. This study demonstrates the utility of nitrocellulose-based cDNA arrays for a focused reproducible analysis of gene expression changes in human islets of Langerhans.

Molecular techniques for studying gene expression in carcinogenesis

Many genes and signaling pathways controlling cell proliferation, death, differentiation, and genomic integrity are involved in cancer development. Various methods are available for detection and quantification of messenger RNA. Older methods such as Northern blots, nuclease protection, plaque hybridization, and slot blots suffer from being inherently serial, measure a single mRNA at a time, or being difficult to automate. New techniques for analysis of gene expression include: (a) comprehensive open systems such as serial analysis of gene expression (SAGE), differential display (DD) analysis, RNA arbitrarily primer (RAP)-PCR, restriction endonucleolytic analysis of differentially expressed sequences (READS), amplified restriction fragment-length polymorphism (AFLP), total gene expression analysis (TOGA), and use of internal standard competitive template primers (CTs) in a quantitative multiplex RT-PCR method [StaRT-(PCR)], and (b) focused closed systems such as: high density cDNA filter hybridization (HDFCA) analysis, suppression subtractive hybridization (SSH), differential screening (DS), several forms of high-density cDNA arrays, or oligonucleotide chips, and tissue microarrays. Sometimes, a combination of these systems is used to enhance the sensitivity and specificity of the assays. While closed systems are excellent for the initial screening of large number of sequences, the value of the information generated is generally limited to an often arbitrarily chosen known sequence. On the other hand, only the open system platform has the potential to evaluate the expression patterns of tens of thousands of genes that have not yet been cloned or partially sequenced in a quantitative manner. A cost analysis of the most commonly used expression technologies is provided. A method for purifying tumors from surrounding stroma and normal tissue employing laser microdissection, and subsequent RNA isolation/amplification from few cells employing sensitive kits are also discussed.

Gene expression analysis of human thymoma correlates with tumor stage

Thymoma is one of the most common solid tumors in the mediastinum. The recent development of high-density oligonucleotide arrays provides a unique opportunity to generate gene expression profiles of cells from various stages of tumor progression as it occurs in actual neoplastic tissues. We used oligonucleotide arrays to monitor in vivo gene expression levels in early- (stage I or II) and late- (stage IVa) stage thymoma tissues in 36 patients. These in vivo gene expression profiles were verified by real-time quantitative RT-PCR using LightCycler. Using both methods, 2 candidate genes were identified that were more highly expressed in advanced-stage thymomas. One was a well-known gene, c-JUN, and another was an unknown gene, AL050002. AL050002 expression, but not c-JUN expression, was also correlated with the WHO classification (type B3 vs. type B1, B2 or AB). The combined use of oligonucleotide microarray and real-time RT-PCR analyses provides a powerful new approach to elucidate the in vivo molecular events correlated with tumor stage of thymoma.

Potato spindle tuber viroid strains of different pathogenicity induces and suppresses expression of common and unique genes in infected tomato

Viroids are the smallest plant pathogens. These RNAs do not encode proteins and are not encapsidated, and yet they can replicate autonomously, move systemically, and cause diseases in infected plants. Notably, strains of a viroid with subtle differences in nucleotide sequences can cause dramatically different symptoms in infected plants. These features make viroids unique probes to investigate the role of a pathogenic RNA genome in triggering host responses. We conducted a comprehensive analysis of the differential gene expression patterns of tomato plants at various stages of infection by a mild and severe strain of Potato spindle tuber viroid (PSTVd). We also compared tomato gene expression altered by the PSTVd strains with that altered by Tobacco mosaic virus (TMV). Our analyses revealed that the two PSTVd strains altered expression of both common and unique tomato genes. These genes encode products involved in defense/stress response, cell wall structure, chloroplast function, protein metabolism, and other diverse functions. Five genes have unknown functions. Four genes are novel. The expression of some but not all of these genes was also altered by TMV infection. Our results indicate that viroids, although structurally simple, can trigger complex host responses. Further characterization of viroid-altered gene expression in a host plant should help understand viroid pathogenicity and, potentially, the mechanisms of RNA-mediated regulation of plant gene expression.

Transforming growth factor-beta1-modulated cerebral gene expression

Transforming growth factor-beta1 (TGF-beta1) plays a central role in the response of the brain to different types of injury. Increased TGF-beta1 has been found in the central nervous system of patients with acute or chronic disorders such as stroke or Alzheimer disease. To further define the molecular targets of TGF-beta1 in cerebral tissues, a selection of high-density cDNA arrays was used to characterize the mRNA expression profile of 7,000 genes in transgenic mice overexpressing TGF-beta1 from astrocytes as compared with the wild-type line. Selected findings were further evaluated by reverse transcription-polymerase chain reactions from independent transgenic and wild-type mice. Furthermore, the expression pattern of seven selected genes such as Delta-1, CRADD, PRSC-1, PAI-1, Apo-1/Fas, CTS-B, and TbetaR-II were confirmed in either cultured cortical neurons or astrocytes following TGF-beta1 treatment. The authors' observations enlarge the repertoire of known TGF-beta1-modulated genes and their possible involvement in neurodegenerative processes.

Gene expression profiling of drug metabolism and toxicology markers using a low-density DNA microarray

DNA microarrays are useful tools to study changes of gene expression in response to a treatment with drugs. Here, we describe the optimization of conditions for the cDNA synthesis and hybridization protocols to be used for a low-density DNA microarray called 'Rat HepatoChips.' This DNA microarray with 59 carefully selected genes could be used to study changes in gene expression levels due to a treatment with xenobiotic. These 59 genes (including 8 housekeeping genes) have been selected among potential toxic markers involved in basic cellular processes and drug metabolism related genes. Using the optimized conditions, the results were shown to be reproducible, with 6% variation between the duplicated spots and 10% between arrays. Conditions were optimized to allow quantification with a dynamic range of four log units. In order to demonstrate the major advantage of these tool for studying gene expression, samples of control rat liver were compared with those of animals dosed with phenobarbital (PB) or pregnenolone-16 alpha-carbonitrile (PCN), two compounds well known to induce cytochrome P450 isoforms of 2B and 3A subfamilies, respectively. This microarray has shown that other genes apart from the corresponding CYP P450 genes have been changed due to PB and PCN treatment. Apoptosis-related genes have shown to be changed due to PB and PCN treatment, which confirms results from previous work.

Microarray analysis of gene expression during early adipocyte differentiation

The molecular mechanisms that regulate cellular differentiation during development and throughout life are complex. It is now recognized that precise patterns of differentially expressed genes ultimately direct a particular cell toward a given lineage and many of these are regulated during the earliest stages of differentiation. Using a microarray-based expression analysis, we have examined gene expression profiles during the first 24 h of 3T3-L1 adipocyte differentiation. RNA was isolated at times 0, 2, 8, 16, and 24 h following stimulation of differentiation and hybridized in duplicate to high density Affymetrix microarray gene chips containing a series of 13,179 cDNA/expressed sequence tag (EST) probe sets. Two hundred and eighty-five cDNA/ESTs were shown to have at least a fivefold change in expression levels during this time course and both hierarchical and self-organizing map clustering analysis was performed to categorize them by expression profiles. Several genes known to be regulated during this time period were confirmed and Western blot analysis of the proteins encoded by some of the identified genes revealed expression profiles similar to their mRNA counterparts. As expected, many of the genes identified have not been examined in such a critical time period during adipogenesis and may well represent novel adipogenic mediators.

Characterization of tissue expression and full-length coding sequence of a novel human gene mapping at 3q12.1 and transcribed in oligodendrocytes

Macro-array differential hybridization of a collection of 5058 human gene transcripts represented in an IMAGE infant brain cDNA library has led to the identification of transcripts displaying preferential or specific expression in brain (Genome Res. 9 (1999) 195; http://idefix.upr420.vjf.cnrs.fr/IMAGE). Most of these genes correspond to as yet undescribed functions. Detailed characterization of the expression, sequence, and genome assignment of one of these genes named C3orf4, is reported here. The full-length sequence of the transcript was obtained by 5' extension RT-PCR. The gene transcript (2.8 kb) encodes a 253 amino acid long protein, with four transmembrane domains. The position of the C3orf4 gene was determined at 3q12.1 thanks to the draft sequence of the human genome. It is composed of five exons spanning more than 7 kb. No TATAA box but a CpG island was found upstream of the beginning of the gene. Northern blot analysis and in situ hybridization revealed a predominant expression in myelinated structures such as corpus callosum and spinal cord. RT-PCR showed expression of the C3orf4 gene in rat optic nerve and cultured oligodendrocytes, the myelinating cells of the central nervous system, but not in astrocytes. This work supports further investigations aimed at determining the role of the C3orf4 gene in myelinating cells.

cDNA macroarray analysis of gene expression in synoviocytes stimulated with TNFalpha

Gene expression of synoviocytes stimulated with tumor necrosis factor-alpha (TNFalpha) was studied by macroarray analysis to elucidate the cellular response and identify new biological functions of known and unknown genes. 10035 cDNA clones were used to make cDNA macroarrays of representative genes. Synoviocytes expressed large amounts of fibronectin and collagen mRNA. Statistical analysis of the macroarray data revealed 26 genes, including six new genes, which underwent significant alteration of gene expression in response to TNFalpha stimulation. These findings suggest that the synoviocyte response to TNFalpha stimulation forms the basis of development of various aspects of the pathophysiology of rheumatoid arthritis.