Use of representational difference analysis and cDNA arrays for transcriptional profiling of tumor tissue

Identification of Differentially Expressed Genes to Establish New Biomarker for Cancer Prediction

The goal of the human genome project is to integrate genetic information into different clinical therapies. To achieve this goal, different computational algorithms are devised for identifying the biomarker genes, cause of complex diseases. However, most of the methods developed so far using DNA microarray data lack in interpreting biological findings and are less accurate in disease prediction. In the paper, we propose two parameters risk_factor and confusion_factor to identify the biologically significant genes for cancer development. First, we evaluate risk_factor of each gene and the genes with nonzero risk_factor result misclassification of data, therefore removed. Next, we calculate confusion_factor of the remaining genes which determines confusion of a gene in prediction due to closeness of the samples in the cancer and normal classes. We apply nondominated sorting genetic algorithm (NSGA-II) to select the maximally uncorrelated differentially expressed genes in the cancer class with minimum confusion_factor. The proposed Gene Selection Explore (GSE) algorithm is compared to well established feature selection algorithms using 10 microarray data with respect to sensitivity, specificity, and accuracy. The identified genes appear in KEGG pathway and have several biological importance.

The Cumulative Effect of Gene-Gene and Gene-Environment Interactions on the Risk of Prostate Cancer in Chinese Men

Prostate cancer (PCa) is a multifactorial disease involving complex genetic and environmental factors interactions. Gene-gene and gene-environment interactions associated with PCa in Chinese men are less studied. We explored the association between 36 SNPs and PCa in 574 subjects from northern China. Body mass index (BMI), smoking, and alcohol consumption were determined through self-administered questionnaires in 134 PCa patients. Then gene-gene and gene-environment interactions among the PCa-associated SNPs were analyzed using the generalized multifactor dimensionality reduction (GMDR) and logistic regression methods. Allelic and genotypic association analyses showed that six variants were associated with PCa and the cumulative effect suggested men who carried any combination of 1, 2, or ≥3 risk genotypes had a gradually increased PCa risk (odds ratios (ORs) = 1.79–4.41). GMDR analysis identified the best gene-gene interaction model with scores of 10 for both the cross-validation consistency and sign tests. For gene-environment interactions, rs6983561 CC and rs16901966 GG in individuals with a BMI ≥ 28 had ORs of 7.66 (p = 0.032) and 5.33 (p = 0.046), respectively. rs7679673 CC + CA and rs12653946 TT in individuals that smoked had ORs of 2.77 (p = 0.007) and 3.11 (p = 0.024), respectively. rs7679673 CC in individuals that consumed alcohol had an OR of 4.37 (p = 0.041). These results suggest that polymorphisms, either individually or by interacting with other genes or environmental factors, contribute to an increased risk of PCa.

Molecular cloning and characterization of beta-expansin gene related to root hair formation in barley

Root hairs are specialized epidermal cells that play a role in the uptake of water and nutrients from the rhizosphere and serve as a site of interaction with soil microorganisms. The process of root hair formation is well characterized in Arabidopsis (Arabidopsis thaliana); however, there is a very little information about the genetic and molecular basis of root hair development in monocots. Here, we report on isolation and cloning of the beta-expansin (EXPB) gene HvEXPB1, tightly related to root hair initiation in barley (Hordeum vulgare). Using root transcriptome differentiation in the wild-type/root-hairless mutant system, a cDNA fragment present in roots of wild-type plants only was identified. After cloning of full-length cDNA and genomic sequences flanking the identified fragment, the subsequent bioinformatics analyses revealed homology of the protein coded by the identified gene to the EXPB family. Reverse transcription-PCR showed that expression of HvEXPB1 cosegregated with the root hair phenotype in F2 progeny of the cross between the hairless mutant rhl1.a and the wild-type Karat parent variety. Expression of the HvEXPB1 gene was root specific; it was expressed in roots of wild-type forms, but not in coleoptiles, leaves, tillers, and spikes. The identified gene was active in roots of two other analyzed root hair mutants: rhp1.a developing root hair primordia only and rhs1.a with very short root hairs. Contrary to this, a complete lack of HvEXPB1 expression was observed in roots of the spontaneous root-hairless mutant bald root barley. All these observations suggest a role of the HvEXPB1 gene in the process of root hair formation in barley.

Stimulated expression of mRNAs in activated T cells depends on a functional CRM1 nuclear export pathway

In metazoans, the nuclear export of bulk mRNAs is mediated by the export receptor TAP, together with its binding partner p15. A number of viral mRNAs, including the unspliced and partially spliced mRNA species of the human immunodeficiency virus (HIV), however, use an alternative export route via the importin beta-related export receptor CRM1. This raises the question of whether a subset of cellular mRNAs might be exported by CRM1 as well. To identify such mRNAs, we performed a systematic screen in different cell lines, using representational difference analyses of cDNA (cDNA-RDA). In HeLa and Cl-4 cells no cellular transcripts could be identified as exported via CRM1. In contrast, we found a number of CRM1-dependent mRNAs in Jurkat T cells, most of which are induced during a T cell response. One of the identified gene products, the dendritic cell marker CD83, was analyzed in detail. CD83 expression depends on a functional CRM1 pathway in activated Jurkat T cells as well as in a heterologous expression system, independent of activation. Our results point to an important role of the CRM1-dependent export pathway for the expression of CD83 and other genes under conditions of T cell activation.

Panel of genes transcriptionally up-regulated in squamous cell carcinoma of the cervix identified by representational difference analysis, confirmed by macroarray, and validated by real-time quantitative reverse transcription-PCR

BACKGROUND

The Pap smear is currently the most widely used method of screening for squamous cell carcinoma of the cervix (SCCC). Because it is based on cell morphology, it is subject to variability in interpretation. Sensitive molecular markers capable of differentiating cancerous samples from noncancerous ones would be beneficial in this regard.

METHODS

We performed representational difference analysis (RDA) using paired, noncancerous (normal) and cancerous (disease) tissues taken from the same specimen obtained from a single patient with a confirmed diagnosis of SCCC. Linearly amplified cDNA from normal and diseased tissues of the original patient and seven others were hybridized to DNA macroarrays containing the candidate gene transcript fragments. Real-time quantitative reverse transcription-PCR was used to validate the macroarray results.

RESULTS

RDA identified a candidate pool of 65 transcript fragments up-regulated in diseased tissue compared with normal tissue. Forty-one transcripts were found to be up-regulated in diseased compared with normal tissue in at least one half the patients by macroarray hybridization. Eleven of those genes were selected for real-time quantitative reverse transcription-PCR analysis, and all were confirmed as transcriptionally up-regulated in cancer compared with normal tissue in at least one half the patients.

CONCLUSIONS

RDA using tissues from a single patient identified gene fragments confirmed to be transcriptionally up-regulated in SCCC both in the original patient and in seven others. The confirmed genes have a variety of functions and also have the potential to serve as diagnostic or prognostic markers.

FoxP4, a novel forkhead transcription factor

Forkhead proteins have been demonstrated to play key roles in embryonic development, cell cycle regulation, and oncogenesis. We report the characterization of a new forkhead transcription factor, which is a member of the FoxP subfamily. In adult tissues FoxP4 is expressed in heart, brain, lung, liver, kidney, and testis. By Northern hybridization, very low levels of FoxP4 expression were found as early as E7 during embryonic development. Embryonic expression was highest at E11 and subsequently decreased at E15 and E17. In situ hybridization revealed expression of FoxP4 in the developing lung and gut, suggesting a role for FoxP4 during the development of these organs. In addition, FoxP4 was found to be significantly reduced in patients with kidney tumors. Lastly, FoxP4 matches an uncharacterized human EST that has previously been shown to be down-regulated in larynx carcinoma.

Streamlined representational difference analysis for comprehensive studies of numerous genomes

Representational Difference Analysis (RDA) is a powerful but also quite complex and difficult method to reveal the variable genes among highly similar genomes or transcriptomes. This report is on the substantial simplification of RDA for microdiversity studies on Bacillus isolates. Following improvements are demonstrated: the average fragment size has been pushed up ( approximately 700 bp) by using nucleotide-biased restriction enzymes, in this case the "high-GC" enzyme HhaI for low GC Gram-positive Bacillus. A PCR-based production of the DRIVER has been applied to avoid subculturing of strains and repeated large-scale DNA extraction. Tedious estimation and adjustment of DNA concentrations for the subtractive hybridization step were by-passed by coupling DRIVER and TESTER production. The problem of linear amplification of TESTER/DRIVER hybrids has been eliminated by applying two different adapters, one for the TESTER but also another one for the DRIVER. Hence, only one RDA round is required to achieve clear bands without background. After doing this streamlined DRIVER and TESTER production, the RDA analysis may now be performed in one night and day. This simplification will allow to scale up the number of genomes under investigation.

RGS12TS-S localizes at nuclear matrix-associated subnuclear structures and represses transcription: structural requirements for subnuclear targeting and transcriptional repression

RGS12TS-S, an 1,157-amino-acid RGS protein (regulator of G protein signaling), is a nuclear protein that exhibits a unique pattern of subnuclear organization into nuclear foci or dots when expressed endogenously or ectopically. We now report that RGS12TS-S is a nuclear matrix protein and identify structural determinants that target this protein to the nuclear matrix and to discrete subnuclear sites. We also determine the relationship between RGS12TS-S-decorated nuclear dots and known subnuclear domains involved in control of gene expression and provide the first evidence that RGS12TS-S is functionally involved in the regulation of transcription and cell cycle events. A novel nuclear matrix-targeting sequence was identified that is distinct from a second novel motif needed for targeting RGS12TS-S to nuclear dots. RGS12TS-S nuclear dots were distinct from Cajal bodies, SC-35 domains, promyelocytic leukemia protein nuclear bodies, Polycomb group domains, and DNA replication sites. However, RGS12TS-S inhibited S-phase DNA synthesis in various tumor cell lines independently of Rb and p53 proteins, and its prolonged expression promoted formation of multinucleated cells. Expression of RGS12TS-S dramatically reduced bromo-UTP incorporation into sites of transcription. RGS12TS-S, when tethered to a Gal4 DNA binding domain, dramatically inhibited basal transcription from a Gal4-E1b TATA promoter in a histone deacetylase-independent manner. Structural analysis revealed a role for the unique N-terminal domain of RGS12TS-S in its transcriptional repressor and cell cycle-regulating activities and showed that the RGS domain was dispensable for these functions. These results provide novel insights into the structure and function of RGS12TS-S in the nucleus and demonstrate that RGS12TS-S possesses biological activities distinct from those of other members of the RGS protein family.

Heterogeneity of gene expression in human atheroma unmasked using cDNA representational difference analysis

The rupture of an atherosclerotic plaque can have profound consequences, such as myocardial or cerebrovascular infarction. The complex interactions of vascular smooth muscle cells (VSMCs) with inflammatory and immune cells are thought to contribute to both plaque genesis and stability. Key to our understanding of these processes is the identification of genes expressed in human atheromatous lesions. We have employed cDNA representational difference analysis (RDA) to investigate the differences in gene expression between normal and atherosclerotic human vessels. Thirty-one cDNA clones representing sequences expressed in atheroma were isolated, many of which encoded components of inflammatory and immune pathways. The reciprocal experiment, to identify genes expressed in the healthy vasculature, identified two genes associated with the contractile functions of VSMCs. Semiquantitative RT-PCR analysis of expression of these genes in forty samples, derived from healthy and atheromatous vessels, demonstrated marked heterogeneity of gene expression between lesions, although several of the genes were preferentially expressed in atherosclerotic lesions. In situ hybridization identified subsets of macrophages at sites of neovascularization within the lesion and intimal VSMCs as expressing the disease-associated genes. In conclusion, cDNA RDA is a useful, fast, and efficient technique for studying differential gene expression particularly when clinical material is limiting.

Cardiac ankyrin repeat protein, a negative regulator of cardiac gene expression, is augmented in human heart failure

The technique of representational difference analysis of cDNA has been applied to screen for differentially expressed genes in a canine model of pacing-induced heart failure. We identified the canine homolog of the cardiac ankyrin repeat protein (CARP) which has been shown to be involved in the regulation of the transcription of cardiac genes. To confirm the significance for human heart failure, cardiac tissue specimens obtained from non-failing donor hearts and from explanted hearts from patients with end-stage heart failure were investigated. CARP mRNA and protein levels were markedly increased in failing left ventricles. Interestingly, alterations in CARP expression were restricted to ventricular tissue and were not observed in atria. Fractionation experiments revealed that CARP was expressed predominantly in the nuclei consistent with the proposed function of CARP as a modulator of transcription. Together, these findings raise the possibility that augmented ventricular CARP expression may play a role in the pathogenesis of human heart failure.

Analysis of differentially expressed genes in hepatocellular carcinoma using cDNA arrays

Hepatocellular carcinoma (HCC) is characterized by multiple somatic mutations, including DNA rearrangements, that affect many cell-growth regulatory pathways. Many genes differentially expressed in HCC have been reported previously, but the patterns of expression varied significantly between patients who bore different risk factors for HCC. To identify genes whose differential expression could serve as a "signature" for diagnosis and prognosis of HCC, we performed analyses of differentially expressed genes in three cases of HCC with different risk factors using the Atlas Human Cancer cDNA Expression Arrays. Among all 597 genes present on the array, only three were found to be coordinately differentially expressed in all three HCC cases, in agreement with published data. These three genes, Cu/Zn superoxide dismutase, osteonectin/secreted protein acidic and rich in cysteine, and matrix metalloproteinase 14, could serve as candidates for the HCC "signature." Ten genes were found to be coordinately differentially expressed in only two of three tested HCC cases. On the other hand, many genes that had been reported previously as differentially expressed in HCC failed to show the described pattern of expression in this group. The results of this study confirm the great variability in gene-expression patterns in HCC and establish the utility of the array technology for identifying both the HCC signature genes and individual gene-expression patterns for purposes of patient-oriented therapy.

Monitoring of the subtraction process in solid-phase representational difference analysis: characterization of a candidate drug

In this study, we have applied and evaluated a modified cDNA representational difference analysis (RDA) protocol based on magnetic bead technology to study the molecular effects of a candidate drug (N,N'-diacetyl-L-cystine, DiNAC) in a model for atherosclerosis. Alterations in a gene expression profile induced by DiNAC were investigated in a human monocytic cell line (THP-1) differentiated into macrophage-like cells by lipopolysaccharide and further exposed to DiNAC. Three rounds of subtraction have been performed and the difference products from the second and third rounds have been characterized in detail by analysis of over 1000 gene sequences. Two protocols for analysis of the subtraction products have been evaluated, a shotgun approach and size selection of both distinct fragments and band-patterned smear. We demonstrate that in order to obtain a representative view of the most abundant gene fragments, the shotgun procedure is preferred. The obtained sequences were analyzed against the UniGene and Expressed Gene Anatomy Database (EGAD) databases and the results were visualized and analyzed with the ExProView software enabling rapid pair-wise comparison and identification of individual genes or functional groups of genes with altered expression levels. The identified differentially expressed gene sequences were comprised of both genes with known involvement in atherosclerosis or cholesterol biosynthesis and genes previously not implicated in these processes. The applicability of a solid-phase shotgun RDA protocol, combined with virtual chip monitoring, results in new starting points for characterization of novel candidate drugs.