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PubMed2004

Rank Difference Analysis of Microarrays (RDAM), a novel approach to statistical analysis of microarray expression profiling data.

BACKGROUND: A key step in the analysis of microarray expression profiling data is the identification of genes that display statistically significant changes in expression signals between two biological conditions. RESULTS: We describe a new method, Rank Difference Analysis of Microarrays (RDAM), which estimates the total number of truly varying genes and assigns a p-value to each signal variation. Information on a group of differentially expressed genes includes the sensitivity and the false discovery rate. We demonstrate the feasibility and efficiency of our approach by applying it to a large synthetic expression data set and to a biological data set obtained by comparing vegetatively-growing wild type and tor2-mutant yeast strains. In both cases we observed a significant improvement of the power of analysis when our method is compared to another popular nonparametric method. CONCLUSIONS: This study provided a valuable new statistical method to analyze microarray data. We conclude that the good quality of the results obtained by RDAM is mainly due to the quasi-perfect equalization of variation distribution, which is related to the standardization procedure used and to the measurement of variation by rank difference.

Gene Expression Profiling↗

PubMed2001

Beyond synexpression relationships: local clustering of time-shifted and inverted gene expression profiles identifies new, biologically relevant interactions.

The complexity of biological systems provides for a great diversity of relationships between genes. The current analysis of whole-genome expression data focuses on relationships based on global correlation over a whole time-course, identifying clusters of genes whose expression levels simultaneously rise and fall. There are, of course, other potential relationships between genes, which are missed by such global clustering. These include activation, where one expects a time-delay between related expression profiles, and inhibition, where one expects an inverted relationship. Here, we propose a new method, which we call local clustering, for identifying these time-delayed and inverted relationships. It is related to conventional gene-expression clustering in a fashion analogous to the way local sequence alignment (the Smith-Waterman algorithm) is derived from global alignment (Needleman-Wunsch). An integral part of our method is the use of random score distributions to assess the statistical significance of each cluster. We applied our method to the yeast cell-cycle expression dataset and were able to detect a considerable number of additional biological relationships between genes, beyond those resulting from conventional correlation. We related these new relationships between genes to their similarity in function (as determined from the MIPS scheme) or their having known protein-protein interactions (as determined from the large-scale two-hybrid experiment); we found that genes strongly related by local clustering were considerably more likely than random to have a known interaction or a similar cellular role. This suggests that local clustering may be useful in functional annotation of uncharacterized genes. We examined many of the new relationships in detail. Some of them were already well-documented examples of inhibition or activation, which provide corroboration for our results. For instance, we found an inverted expression profile relationship between genes YME1 and YNT20, where the latter has been experimentally documented as a bypass suppressor of the former. We also found new relationships involving uncharacterized yeast genes and were able to suggest functions for many of them. In particular, we found a time-delayed expression relationship between J0544 (which has not yet been functionally characterized) and four genes associated with the mitochondria. This suggests that J0544 may be involved in the control or activation of mitochondrial genes. We have also looked at other, less extensive datasets than the yeast cell-cycle and found further interesting relationships. Our clustering program and a detailed website of clustering results is available at http://www.bioinfo.mbb.yale.edu/expression/cluster (or http://www.genecensus.org/expression/cluster).

Algorithms↗

PubMed2006

Gene expression profiles in developing nephrons using Lim1 metanephric mesenchyme-specific conditional mutant mice.

BACKGROUND: Lim1 is a homeobox gene that is essential for nephrogenesis. During metanephric kidney development, Lim1 is expressed in the nephric duct, ureteric buds, and the induced metanephric mesenchyme. Conditional ablation of Lim1 in the metanephric mesenchyme blocks the formation of nephrons at the nephric vesicle stage, leading to the production of small, non-functional kidneys that lack nephrons. METHODS: In the present study, we used Affymetrix probe arrays to screen for nephron-specific genes by comparing the expression profiles of control and Lim1 conditional mutant kidneys. Kidneys from two developmental stages, embryonic day 14.5 (E14.5) and 18.5 (E18.5), were examined. RESULTS: Comparison of E18.5 kidney expression profiles generated a list of 465 nephron-specific gene candidates that showed a more than 2-fold increase in their expression level in control kidney versus the Lim1 conditional mutant kidney. Computational analysis confirmed that this screen enriched for kidney-specific genes. Furthermore, at least twenty-eight of the top fifty (56%) candidates (or their vertebrate orthologs) were previously reported to have a nephron-specific expression pattern. Our analysis of E14.5 expression data yielded 41 candidate genes that are up-regulated in the control kidneys compared to the conditional mutants. Three of them are related to the Notch signaling pathway that is known to be important in cell fate determination and nephron patterning. CONCLUSION: Therefore, we demonstrate that Lim1 conditional mutant kidneys serve as a novel tissue source for comprehensive expression studies and provide a means to identify nephron-specific genes.

Animals↗

PubMed2004

Genome wide expression profiling of angiogenic signaling and the Heisenberg uncertainty principle.

Genome wide DNA expression profiling coupled with antibody array experiments using endostatin to probe the angiogenic signaling network in human endothelial cells were performed. The results reveal constraints on the measuring process that are of a similar kind as those implied by the uncertainty principle of quantum mechanics as described by Werner Heisenberg. We describe this analogy and argue for its heuristic utility in the conceptualization of angiogenesis as an important step in tumor formation.

Angiogenesis Inhibitors↗

PubMed2004

"Good Old" clinical markers have similar power in breast cancer prognosis as microarray gene expression profilers.

We compared the power of gene expression measurements with that of conventional prognostic markers, i.e., clinical, histopathological, and cell biological parameters, for predicting distant metastases in breast cancer patients using both established prognostic indices (e.g., the Nottingham Prognostic Index (NPI)) and novel combinations of conventional markers. We used publicly available data on 97 patients, and the performance of metastasis prediction was represented by receiver operating characteristic (ROC) areas and Kaplan-Meier plots. The gene expression profiler did not perform noticeably better than indices constructed from the clinical variables, e.g., the well established NPI. When analysing separately subgroups, according to the oestrogen receptor (ER) status both approaches could predict clinical outcome more easily for the ER-positive than for the ER-negative cohort. Given the time it may take before microarray processing is used worldwide, particularly due to the costs and the lack of standards, it is important to pursue research using conventional markers. Our analysis suggests that it might be possible to improve the combination of different conventional prognostic markers into one prognostic index.

Adult↗

PubMed2005

Cancer gene expression database (CGED): a database for gene expression profiling with accompanying clinical information of human cancer tissues.

Gene expression profiling of cancer tissues is expected to contribute to our understanding of cancer biology as well as developments of new methods of diagnosis and therapy. Our collaborative efforts in Japan have been mainly focused on solid tumors such as breast, colorectal and hepatocellular cancers. The expression data are obtained by a high-throughput RT-PCR technique, and patients are recruited mainly from a single hospital. In the cancer gene expression database (CGED), the expression and clinical data are presented in a way useful for scientists interested in specific genes or biological functions. The data can be retrieved either by gene identifiers or by functional categories defined by Gene Ontology terms or the Swiss-Prot annotation. Expression patterns of multiple genes, selected by names or similarity search of the patterns, can be compared. Visual presentation of the data with sorting function enables users to easily recognize of relationships between gene expression and clinical parameters. Data for other cancers such as lung and thyroid cancers will be added in the near future. The URL of CGED is http://cged.hgc.jp.

Databases, Genetic↗

PubMed2004

Comparative study of the expression profiles of the Cor/Lea gene family in two wheat cultivars with contrasting levels of freezing tolerance.

Expression profiles of a set of Cor/Lea genes were assessed during early stages of cold acclimation in seedlings of two wheat cultivars, which showed contrasting levels of freezing tolerance. These Cor/Lea family members consisted of three EST clones and 13 previously identified cDNA clones of wheat and rye. Northern blot analysis using RNA extracted from seedling leaves and roots showed that most of the genes exhibited a quite similar time-course of expression, although with different expression levels: They rapidly responded to low temperature and their transcript levels reached high plateaus within 3-5 days. The overall gene expression profiles were correlated with the time-dependent development and the level of freezing tolerance under low temperature in the two cultivars. Western blot analysis of protein accumulation further verified this observation. Abscissic acid response was proved for at least four genes. Light was stimulatory to most of the genes, and this positive light response associated with low temperature occurred not only in leaf-specific genes but also in leaf/root-expressed genes. Taken together, the present results suggest that the Cor/Lea gene family represents a major group of downstream genes involved in the ABA-dependent and -independent signal pathways and that most of them are co-regulated in determining freezing tolerance in wheat seedlings.

Journal Article↗

PubMed2005

[Strategy for the protein identification of human proteome expression profile: selection of searching database].

Widely used method of protein identification for high-throughout proteome expression profile studies was database-dependent, so the selection of databases for the protein identification was very important. Despite the deficiency of available human protein databases, the complementarity of human proteins could be got mainly from human genome but not from the protein databases of other organisms. According to the comparison of the current protein databases from different aspects, IPI was recommended for the basic identification for the studies of human proteome expression profile, and other human protein or nucleic acid databases were needed for the complementary identification and novel protein mining.

Animals↗

PubMed2004

Genetic and expression profiles of squamous cell carcinoma of the head and neck correlate with cisplatin sensitivity and resistance in cell lines and patients.

PURPOSE: The choice of treatment for squamous cell carcinoma of the head and neck (SCCHN) is still primarily based on the tumor-node-metastasis classification. However, it is reasonable to believe that biological profiles of SCCHN may be independently associated with response to therapy. The aim of the present study was to examine genetic changes and gene expression profiles that might correlate with sensitivity to cisplatin [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay] in 10 SCCHN cell lines. EXPERIMENTAL DESIGN: Five cisplatin-sensitive and five cisplatin-resistant cell lines [3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide assay] were studied by comparative genomic hybridization, spectral karyotyping, and cDNA microarray analysis (21,632 sequence-validated human cDNA; confirmation by reverse transcriptase-PCR for selected genes). For the MET proto-oncogene, which showed low expression in the chemosensitive cell lines, we did immunohistochemical staining on SCCHN of 29 patients who received induction chemotherapy. RESULTS: The five cisplatin-resistant cell lines showed significantly more genetic imbalances (regions of loss and amplification) and chromosomal abnormalities by comparative genomic hybridization and spectral karyotyping, respectively, than did the five cisplatin-sensitive cell lines. Microarray studies identified approximately 60 genes that clearly distinguish between the two groups of cell lines. Some of these genes are known to be involved in tumor progression, metastasis, and drug resistance. We identified low expression of c-met (immunohistochemistry) as a predictive factor for complete response in nondiploid tumors (P = 0.026). CONCLUSIONS: We conclude that cisplatin sensitivity and resistance are related to distinctive differences in the genetic and expression profiles in individual SCCHN tumor cell lines and in SCCHN patients. The genes we have identified may serve as potential targets for novel treatment strategies.

Adult↗

PubMed2006

Gene expression profiles of normal proliferating and differentiating human intestinal epithelial cells: a comparison with the Caco-2 cell model.

cDNA microarray technology enables detailed analysis of gene expression throughout complex processes such as differentiation. The aim of this study was to analyze the gene expression profile of normal human intestinal epithelial cells using cell models that recapitulate the crypt-villus axis of intestinal differentiation in comparison with the widely used Caco-2 cell model. cDNA microarrays (19,200 human genes) and a clustering algorithm were used to identify patterns of gene expression in the crypt-like proliferative HIEC and tsFHI cells, and villus epithelial cells as well as Caco-2/15 cells at two distinct stages of differentiation. Unsupervised hierarchical clustering analysis of global gene expression among the cell lines identified two branches: one for the HIEC cells versus a second comprised of two sub-groups: (a) the proliferative Caco-2 cells and (b) the differentiated Caco-2 cells and closely related villus epithelial cells. At the gene level, supervised hierarchical clustering with 272 differentially expressed genes revealed distinct expression patterns specific to each cell phenotype. We identified several upregulated genes that could lead to the identification of new regulatory pathways involved in cell differentiation and carcinogenesis. The combined use of microarray analysis and human intestinal cell models thus provides a powerful tool for establishing detailed gene expression profiles of proliferative to terminally differentiated intestinal cells. Furthermore, the molecular differences between the normal human intestinal cell models and Caco-2 cells clearly point out the strengths and limitations of this widely used experimental model for studying intestinal cell proliferation and differentiation.

Caco-2 Cells↗

PubMed2004

Windows for sex-specific methylation marked by DNA methyltransferase expression profiles in mouse germ cells.

The acquisition of genomic methylation in the male germ line is initiated prenatally in diploid gonocytes, while DNA methylation in the female germ line is initiated postnatally in growing oocytes. We compared the temporal expression patterns of the DNA methyltransferases, DNMT1, DNMT3a, DNMT3b, and DNMT3l in the male and female germ lines. DNMT1 expression was examined by immunocytochemistry and Northerns with an emphasis on the prenatal period. In the female, there is a gradual down-regulation of DNMT1 protein in prenatal meiotic prophase I oocytes that is not associated with the production of an untranslated transcript, as it is in the male; these results suggest that the mechanism of meiotic down-regulation differs between the sexes. In the male, DNMT1 is unlikely to play a role in the prenatal acquisition of germ line methylation patterns since it is down-regulated in gonocytes between 14.5 and 18.5 days of gestation and is absent at the time of initiation of DNA methylation. To search for candidate DNMTs that could be involved in establishing methylation patterns in both germ lines, real-time RT-PCR was used to simultaneously study the expression profiles of the three DNMT3 enzymes in developing testes and ovaries; DNMT1 expression was included as a control. Expression profiles of DNMT3a and DNMT3l provide support for an interaction of the two enzymes during prenatal germ cell development and de novo methylation in the male. DNMT3l is the predominant DNMT3 enzyme expressed at high levels in the postnatal female germ line at the time of acquisition of DNA methylation patterns. DNMT1 and DNMT3b expression levels peak concomitantly, shortly after birth in the male, consistent with a role in the maintenance of methylation patterns in proliferating spermatogonia. Together, the results provide clues to specific roles for the different DNMT family members in de novo and maintenance methylation in the developing testis and ovary.

Animals↗

PubMed2002

Expression profile of genes in non-small cell lung carcinomas from long-term surviving patients.

PURPOSE: Non-small cell lung cancer (NSCLC) is usually associated with a poor prognosis. Some patients survive their disease, and the underlying molecular mechanisms are still poorly understood. The purpose of this investigation was to evaluate expression profiles of proteins determining the survival of NSCLC patients for 5 years. EXPERIMENTAL DESIGN: The expression of 21 gene products was evaluated immunohistochemically in paraffinembedded primary NSCLCs from 216 patients. The data were correlated with the survival times of the patients (survival of more or less than 5 years) by means of chi(2) test and hierarchical cluster analysis. RESULTS: The relationships of patients' survival and 21 parameters were determined including oncogene and tumor suppressor products and proliferative, apoptotic, and angiogenic factors. FOS, P53, RAS, ERBB1, JUN, PCNA, cyclin A, FAS/CD95, and HIF-1beta revealed a correlation to survival. In a second step, these nine parameters were further analyzed by hierarchical cluster analyses of all patients, of stage III patients, and of patients with squamous cell lung carcinomas. We identified clusters with significantly more long-term survivors. The expression of FOS, JUN, ERBB1, and cyclin A or PCNA were decreased in carcinomas of patients with long-term survival. CONCLUSIONS: The expression profile of these factors predicts a significantly better long-term outcome of NSCLC patients. This may have implications for the development of individualized therapy options in the future.

Carcinoma, Non-Small-Cell Lung↗

PubMed2003

Human SLITRK family genes: genomic organization and expression profiling in normal brain and brain tumor tissue.

Slitrk family proteins are characterized as integral membrane proteins that have two leucine-rich repeat (LRR) domains and a carboxy-terminal domain that is partially similar to trk neurotrophin receptor proteins. The LRR domains are similar to those of slit proteins. In a previous study, we showed that mouse Slitrk genes are expressed predominantly in neural tissue and have neurite-modulating activity in cultured neuronal cells. Their expression profiles as well as their functions vary among the family members. In this paper, we characterized the human SLITRK1, SLITRK2, SLITRK3, SLITRK4, SLITRK5, and SLITRK6 genes. The six genes are located in three clusters, on 3q, 13q, and Xq, respectively. Their expression was detected mainly in the brain, but the expression profile of each SLITRK was unique. SLITRK expression was also investigated in various types of brain tumor tissue. The results showed that all SLITRK genes are differentially expressed in brain tumors, including astrocytoma, oligodendroglioma, glioblastoma, medulloblastoma, and supratentorial primitive neuroectodermal tumor (PNET). Particularly interesting findings were that SLITRK3 expression was enhanced in tissue from several different types of tumors and SLITRK6 expression was highly selective. These results suggest that the human SLITRK genes are useful molecular indicators of brain tumor properties.

Adolescent↗

PubMed2005

BRCA1 promoter methylation in sporadic breast tumors: relationship to gene expression profiles.

BRCA1 is a tumor suppressor gene that functions in DNA repair. Basal-like tumors are a distinctive subtype of breast cancer defined by gene expression profiles. Hereditary BRCA1 breast tumors and basal-like sporadic tumors have a similar phenotype and gene expression signature, suggesting involvement of BRCA1 in the pathogenesis of sporadic basal-like cancer. This study evaluates the role of BRCA1 in sporadic breast tumorigenesis. BRCA1 protein expression and promoter methylation are compared to tumor histopathology and gene expression profiles. We find BRCA1 protein expression correlates with tumor mitotic rate, consistent with normal cell-cycle regulation of the BRCA1 gene. Methylation is found in 21% of tumors and is associated with lower BRCA1 protein, but not with specific pathologic features. Basal-like tumors, defined by hierarchical clustering of gene expression, have infrequent BRCA1 methylation and high levels of BRCA1 protein expression consistent with their high mitotic rate. Tumors with BRCA1 promoter methylation are present in all expression clusters; however, a subgroup of ER-positive high-grade tumors has a significantly greater number of BRCA1 methylated tumors. Absence of BRCA1 promoter methylation and high levels of BRCA1 expression in basal-like sporadic tumors suggest alternate explanations for the phenotypic similarities of these tumors to hereditary BRCA1 tumors.

Breast Neoplasms↗

PubMedDate not supplied

Expression profiling of apoptosis-related genes in enterocytes isolated from patients with ulcerative colitis.

Apoptosis regulation has been implicated as a main cause of epithelial dysfunction in patients with ulcerative colitis. Apoptosis can be divided into distinct pathways, which depend on the expression of a large number of apoptosis-related genes. The aim was to elucidate which pathways are dominant in normal and inflamed colonic epithelial cells. An apoptosis-specific gene array expression profiling system of 96 genes was used to determine the expression profile of apoptosis-related genes. Epithelial cells isolated from three patients with active ulcerative colitis were pooled and compared to pooled epithelial cells isolated from three control subjects. Genes found to be three-fold or more overexpressed in ulcerative colitis were subsequently analysed by PCR in a larger population (10 patients with ulcerative colitis, 8 control subjects). Selected genes found not to be regulated were additionally tested by PCR in the same population. Six genes were found to be highly expressed in epithelial cells from both controls and ulcerative colitis patients. These included Bcl-2 antagonist/killer, B lymphoid tyrosine kinase, caspase 14, Harakiri, tumour necrosis factor (TNF) receptor 2, and TNF receptor-associated factor 1 (TRAF1). Three genes were found to be upregulated in ulcerative colitis (p<0.01): caspase 1 and 5, and inhibitor of apoptosis protein 2 (c-IAP2). Both receptor- and mitochondrion-dependent apoptosis pathways are well expressed in enterocytes. Mainly activation-dependent and cytoprotective genes were upregulated in ulcerative colitis.

Adolescent↗

PubMed2005

Human side population keratinocytes exhibit long-term proliferative potential and a specific gene expression profile and can form a pluristratified epidermis.

The aim of the present study was to characterize human side population (SP) epidermal keratinocytes isolated from primary cell cultures. For that purpose, keratinocytes were isolated from normal adult breast skin samples and the Hoechst 33342 exclusion assay described for hematopoietic cells was adapted to keratinocytes. Three types of keratinocytes were studied: the SP, the main population (MP), and the unsorted initial population. SP keratinocytes represented 0.16% of the total population. In short-term cultures, they exhibited an increased colony-forming efficiency and produced more actively growing colonies than did unsorted and MP keratinocytes. In long-term cultures, SP cells exhibited an extensive expansion potential, performing a mean of 44 population doublings for up to 12 successive passages after cell sorting. Moreover, even in long-term cultures, SP keratinocytes were able to form a pluristratified epidermis when seeded on a dermal substrate. Unsorted and MP keratinocytes promoted a reduced expansion: mean values of 14 population doublings for five passages and 12 population doublings for four successive passages, respectively. To further characterize SP cells, cDNA microarrays were used to identify their molecular signature. Transcriptome profiling showed that 41 genes were differentially expressed in SP (vs. MP) cells, with 37 upregulated genes and only four downregulated genes in SP cells. The majority of these genes were functionally related to the regulation of transcription and cell signaling. In conclusion, SP human keratinocytes isolated from primary cultures exhibited both short- and long-term high proliferative potential, formed a pluristratified epidermis, and were characterized by a specific gene expression profile.

Adult↗

PubMed2005

Altered expression profile of transporters in the inner medullary collecting duct of aquaporin-1 knockout mice.

Aquaporin-1 is the major protein responsible for transport of water across the epithelia of the proximal tubule and thin descending limbs. Rapid water efflux across the thin descending limb is required for the normal function of the countercurrent multiplier mechanism. Therefore, urinary concentrating capacity is severely impaired in aquaporin-1 knockout (AQP1 -/-) mice. Here, we have investigated the long-term consequences of deletion of the AQP1 gene product by profiling abundance changes in transporters expressed in the inner medullas of AQP1 (-/-) mice vs. heterozygotes [AQP1 (+/-)], which have a normal concentrating capacity. Semiquantitative immunoblotting demonstrated marked suppression of two proteins strongly expressed in the inner medullary collecting duct (IMCD): UT-A1 (a urea transporter) and AQP4 (a basolateral water channel). Furthermore, the urea permeability of the IMCD was significantly reduced in AQP1 (-/-) mice. In contrast, there was increased expression of three proteins normally expressed at higher levels in the cortical collecting duct (CCD) than in IMCD: AQP3 (another basolateral water channel) and the epithelial sodium channel subunits beta-ENaC and gamma-ENaC. Changes in expression of these proteins were confirmed by immunocytochemistry. Messenger RNA profiling (real-time RT-PCR) revealed changes in UT-A1, beta-ENaC, gamma-ENaC, and AQP3 transcript abundance that paralleled the changes in protein abundance. Thus, from the perspective of transport proteins, the IMCDs of AQP1 (-/-) mice have a significantly altered phenotype. To address whether these changes are specific to AQP1 (-/-) mice, we profiled IMCD transporter expression in a second knockout model manifesting a concentrating defect, that of ClC-nK1, a chloride channel in the ascending thin limb important for urinary concentration. As in the AQP1 knockout mice, ClC-nK1 (-/-) mice showed decreased expression of UT-A1 and increased expression of beta-ENaC and gamma-ENaC vs. WT controls. In conclusion, the expression profile of IMCD transporters is markedly altered in AQP1 -/- mice and this manifestation is related to the associated concentrating defect.

Animals↗

PubMed2001

Oral cancer in vivo gene expression profiling assisted by laser capture microdissection and microarray analysis.

Large scale gene expression profiling was carried out on laser capture microdissected (LCM) tumor and normal oral epithelial cells and analysed on high-density oligonucleotide microarrays. About 600 genes were found to be oral cancer associated. These oral cancer associated genes include oncogenes, tumor suppressors, transcription factors, xenobiotic enzymes, metastatic proteins, differentiation markers, and genes that have not been implicated in oral cancer. The database created provides a verifiable global profile of gene expression during oral carcinogenesis, revealing the potential role of known genes as well as genes that have not been previously implicated in oral cancer.

Aged↗