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Laser capture microdissection-based expression profiling identifies PD1-ligand as a target of the nude locus gene product.

T cell development requires the interaction of developing thymocytes with thymic epithelial cells. Thymic epithelial cells acquire their unique phenotype under the control of the winged-helix transcription factor Whn, which is lacking in the nude mouse. Whn-dependent genes may therefore be important regulators of lympho-epithelial interactions. To identify Whn target genes we isolated RNA populations of wild-type and nude thymic anlagen from embryonic day 12.5 embryos by laser capture microdissection and compared them by gene expression profiling on microarrays representing 22,000 transcripts. All cDNA with expression differences confirmed by quantitative RT-PCR using RNA from individual anlagen and by in situ hybridization were found to be present in wild-type and absent in nude samples. Three of eight confirmed transcripts were of hematopoietic origin; these transcripts emanate from hematopoietic precursors which have just entered the thymic anlage. Five transcripts were of epithelial origin; one of these corresponds to the recently identified PD-1 ligand (PD-L1), the receptor of which is known to modulate positive selection and to play a role in the control of autoimmunity, and the remaining transcripts code for novel genes. The presented results support our prediction that this systematic approach by gene expression profiling yields regulators of thymopoiesis.

Algorithms↗

Comprehensive expression profiling of highly homologous 39 hox genes in 26 different human adult tissues by the modified systematic multiplex RT-pCR method reveals tissue-specific expression pattern that suggests an important role of chromosomal structure in the regulation of hox gene expression in adult tissues.

Homeobox genes play a crucial role as molecular address labels in early embryogenesis by conferring cell fate and establishing regional identity in tissues. Homeobox gene expression is not restricted to the early development, but it is also observed in the differentiated cells in adult tissues. To have a better understanding of the functionality of homeobox gene expression in adult tissues in physiological and pathological phenomena, it is important to determine the expression profiles of Hox genes. We established a system to study the expression of 39 human Hox genes by the modified Systematic Multiplex RT-PCR method. Using this system, we have systematically examined their expression in 26 different adult tissues. The results showed tissue-specific differential expression. They also revealed that the posterior tissues generally express more Hox genes than the anterior tissues and that the genes located centrally in the Hox Gene Complexes are expressed in more tissues than the genes located at the 5' or 3' end of the complexes. Instead of similar expression patterns among paralogous genes, we found that several neighboring Hox genes on the same chromosomes exhibited similar tissue-specific expression pattern, which may suggest that the regulation of Hox gene expression may be more dependent on chromosomal structure in adult tissues.

Adult↗

Integrating phenotypic and expression profiles to map arsenic-response networks.

BACKGROUND: Arsenic is a nonmutagenic carcinogen affecting millions of people. The cellular impact of this metalloid in Saccharomyces cerevisiae was determined by profiling global gene expression and sensitivity phenotypes. These data were then mapped to a metabolic network composed of all known biochemical reactions in yeast, as well as the yeast network of 20,985 protein-protein/protein-DNA interactions. RESULTS: While the expression data unveiled no significant nodes in the metabolic network, the regulatory network revealed several important nodes as centers of arsenic-induced activity. The highest-scoring proteins included Fhl1, Msn2, Msn4, Yap1, Cad1 (Yap2), Pre1, Hsf1 and Met31. Contrary to the gene-expression analyses, the phenotypic-profiling data mapped to the metabolic network. The two significant metabolic networks unveiled were shikimate, and serine, threonine and glutamate biosynthesis. We also carried out transcriptional profiling of specific deletion strains, confirming that the transcription factors Yap1, Arr1 (Yap8), and Rpn4 strongly mediate the cell's adaptation to arsenic-induced stress but that Cad1 has negligible impact. CONCLUSIONS: By integrating phenotypic and transcriptional profiling and mapping the data onto the metabolic and regulatory networks, we have shown that arsenic is likely to channel sulfur into glutathione for detoxification, leads to indirect oxidative stress by depleting glutathione pools, and alters protein turnover via arsenation of sulfhydryl groups on proteins. Furthermore, we show that phenotypically sensitive pathways are upstream of differentially expressed ones, indicating that transcriptional and phenotypic profiling implicate distinct, but related, pathways.

Arsenic↗

Pregnancy-associated changes in genome-wide gene expression profiles in the liver of cow throughout pregnancy.

The objective of the present study was to fabricate and use a bovine liver complementary DNA (cDNA) microarray to profile genome-wide gene expressions in the liver of cow throughout pregnancy. A cDNA library was prepared from liver total RNA collected from cows during estrous cycle and pregnancy, and from fetuses at different stages of pregnancy. The sequenced clones were compiled and annotated by basic local alignment search tool (BLASTn) and spotted onto glass slides. The annotated liver array represented 2675 genes. Of which, 1442 were known genes while 617 sequences had matches with sequences found in expressed sequence tags databases. In addition, 616 unknown sequences were found and these sequences may possibly be identified as candidates for novel bovine genes. For gene expression profiling studies, total RNA from livers of cows slaughtered on days 19, 27-28, 49-58, 150, and 245 of pregnancy (test RNAs) was separately reverse transcribed and labeled with either cyanine 5-fluorescent dye (Cy5) or Cy3. The test samples were individually compared with liver total RNA collected from nonpregnant cycling cows (control RNA) after reverse transcription and labeling with the opposite dye following a two-color hybridization method. After scanning, image acquisition, and normalization, genes that showed either more than 1.5-fold (test/control) induction or repression were selected for further analyses. Hierarchical clustering algorithm showed a clear induction of most liver genes on days 27-28 of pregnancy. Self-organizing maps algorithm identified groups of genes whose differential expression patterns were similar across pregnancy. In conclusion, we described fabrication of a bovine liver cDNA microarray, and demonstrate, for the first time, differential expression patterns of a large number of coregulated liver genes in parallel throughout pregnancy in the bovine.

Algorithms↗

Gene expression profiles in young adult Ciona intestinalis.

Comparison of 12,230 expressed sequence tags (ESTs) of 3' ends of cDNA clones derived from young adults of Ciona intestinalis allowed us to categorize them into 976 independent clusters. When the 5'-end sequences of 10,400 ESTs of the 976 clusters were compared with the sequences in databases, 406 of the clusters showed significant matches ( P < E-15) with reported proteins with defined functions, while 117 showed matches with putative proteins for which there is not enough information to categorize their function, and 453 had no significant sequence similarities to known proteins. The 406 clusters with sequence similarity to proteins with defined functions consisted of 304 clusters related to proteins with functions common to many kinds of cells, 73 related to proteins associated with cell-cell communication and 29 related to transcription factors. Spatial expression of all of the 976 clusters was examined by a newly improved whole-mount in situ hybridization method. A total of 430 clusters did not show distinct in situ hybridization signals, while 122 clusters showed ubiquitous distribution of signals, and 253 clusters showed signals in multiple tissues. The remaining 171 clusters showed signals specific to a certain organ or tissue: 16 showed epidermis-specific expression, 3 were specific to the neural complex, 1 to heart, 6 to body-wall muscle, 94 to pharyngeal gill, 3 to esophagus, 26 to stomach, 1 to intestine and 21 to endostyle. Many of these organ-specific genes encode proteins with no sequence similarity to known proteins. The present analysis thus highlights characteristic gene expression profiles of Ciona young adults and provides not only molecular markers for organs and tissues but also transcriptomic information useful for further genomic analyses of this model organism.

Animals↗

Microarray expression profiling: analysis and applications.

Recent advances in the technology of massive parallel gene expression profiling using microarrays are revolutionizing biomedical research and pharmacological discovery. These new and powerful tools allow researchers to examine the dynamics of a whole biological system by simultaneously interrogating the expression of tens of thousands of genes. This article will review the various bioinformatics and statistical methods commonly used to analyze the enormous amounts of data generated by this technology. The objective of these analyses is to reliably extract important biological information from carefully designed and controlled microarray experiments, and to organize the information in ways that reveal structured and coordinated physiological processes and key components controlling the biological responses studied. The major applications of the microarray technology, recently used to address a variety of biological questions of interest to scientists and clinicians in academia, healthcare and the pharmaceutical industry, will also be presented.

Databases, Genetic↗

Gene expression profiling of relevant biomarkers for treatment evaluation in multiple sclerosis.

Multiple sclerosis (MS) is thought to correlate with an array of clinically relevant biomarkers produced during inflammatory process. In this study, a novel gene expression profiling technology was developed and characterized to quantitatively measure the expression profiles of 34 genes selected based on their role in inflammation and their susceptibility to regulation by current MS treatment agents, beta-interferon (IFN) and glatiramer acetate (GA). Potential clinical applications of the technology were evaluated by in vitro and ex vivo analyses in peripheral blood mononuclear cells (PBMC) obtained from MS patients and controls. Interferon-inducible genes were universally up-regulated after in vitro treatment with beta-IFN while the expression of other selected genes encoding cytokines and molecules related to T cell trafficking, activation and apoptosis was variably affected. Beta-IFN and GA exhibited distinctive and characteristic regulatory effects on the expression of the selected genes. Similar regulatory properties of beta-IFN and GA were seen by ex vivo analysis of PBMC specimens in a self-paired study by comparing specific changes induced by beta-IFN or GA treatment in the same patients as well as in a group study by measuring specific profiles in treatment groups compared with an untreated group. Furthermore, the technology served as a simple and sensitive assay for detection of beta-IFN neutralizing antibody based on the blocking effect of serum antibodies on the known regulatory properties of beta-IFN on PBMC. The findings provide important information on the immunoregulatory properties of beta-IFN and GA and support potential clinical applications of this technology in detection of neutralizing antibody (NAB) and evaluation of treatment responses in MS patients.

Adult↗

Cytokine and chemokine expression profiles of maturing dendritic cells using multiprotein platform arrays.

Understanding the whole process of dendritic cell (DC) activation might help in the development of more efficient immunotherapeutic strategies for tumor patients. Part of this process is cytokine secretion, which has important effects on innate and adaptive immune response. Here, we cultured circulating monocytes for five days with interleukin-4 and GM-CSF followed by two-day culture with or without CD40 ligand and LPS to create a mature DC (mDC) and an immature DC (iDC) phenotype, respectively, characterized by differential expression of co-stimulatory molecules (CD80, CD83). We then compared the cytokine expression profile of the mDC and iDC using two protein platform arrays. Twelve supernatants from mDC paired with 12 from iDC were compared. The mDC protein expression profile showed significant increases in 16 out of 34 factors tested, including TNFalpha, IL-10, IL-12, IFNgamma, MIP1alpha, MIP1beta, IL-8, MDC, RANTES, and IL-6, which play a crucial role in the regulation of the innate immune response as well as the recruitment and activation of adaptive immune effectors. Interestingly, some of the cytokines expressed during maturation were also found in the gene expression profile identified in tumor metastases following IL-2 therapy using cDNA arrays. This finding suggests a possible role for resident DC maturation as a mediator of systemic IL-2 effects. Most important, the array of cytokines secreted during DC maturation may be considered an important component during adoptive transfer. Further characterization of the kinetics and persistence of their secretion should be undertaken in the future.

Antigens, CD↗

Molecular classification of papillary thyroid carcinoma: distinct BRAF, RAS, and RET/PTC mutation-specific gene expression profiles discovered by DNA microarray analysis.

Thyroid cancer poses a significant clinical challenge, and our understanding of its pathogenesis is incomplete. To gain insight into the pathogenesis of papillary thyroid carcinoma, transcriptional profiles of four normal thyroids and 51 papillary carcinomas (PCs) were generated using DNA microarrays. The tumors were genotyped for their common activating mutations: BRAF V600E point mutation, RET/PTC1 and 3 rearrangement and point mutations of KRAS, HRAS and NRAS. Principal component analysis based on the entire expression data set separated the PCs into three groups that were found to reflect tumor morphology and mutational status. By combining expression profiles with mutational status, we defined distinct expression profiles for the BRAF, RET/PTC and RAS mutation groups. Using small numbers of genes, a simple classifier was able to classify correctly the mutational status of all 40 tumors with known mutations. One tumor without a detectable mutation was predicted by the classifier to have a RET/PTC rearrangement and was shown to contain one by fluorescence in situ hybridization analysis. Among the mutation-specific expression signatures were genes whose differential expression was a direct consequence of the mutation, as well as genes involved in a variety of biological processes including immune response and signal transduction. Expression of one mutation-specific differentially expressed gene, TPO, was validated at the protein level using immunohistochemistry and tissue arrays containing an independent set of tumors. The results demonstrate that mutational status is the primary determinant of gene expression variation within these tumors, a finding that may have clinical and diagnostic significance and predicts success for therapies designed to prevent the consequences of these mutations.

Base Sequence↗

Evaluation of an in vitro model of hepatic inflammatory response by gene expression profiling.

The body's response to biochemical stress involves coordinated changes in the expression of several sets of genes that regulate its return to homeostasis. Although several cell culture systems have been utilized for studying such complex physiological events in vitro, their assessment has been limited to biochemical assays on individual genes and proteins, limiting interpretation of the results in a systems context. Advances in genomics provide an opportunity to provide a more comprehensive assessment. In this study, we have used DNA microarrays to profile gene expression dynamics during interleukin 6-stimulated inflammation in hepatocytes maintained in a stable, collagen double-gel in vitro model system. The observed expression profile was also compared with that obtained from rat liver tissue after burn injury to determine the extent and nature of responses captured by the in vitro system. Our results indicate that several aspects of the in vivo hepatic inflammatory response can be captured by the in vitro system at the molecular systems level. Statistical analysis of the mRNA profiles was also used to characterize the temporal response in each model system and demonstrate similar behavior. A small panel of molecules involved in the hepatic acute-phase response was also profiled, using quantitative kinetic polymerase chain reaction, to confirm these observations. These results indicate the utility of the stable hepatocyte culture system for expression profiling of inflammatory states and for providing insights into the interplay of changes in gene expression during complex physiological states.

Acute-Phase Reaction↗

Open system gene expression profiling and identification of novel genes for targeted vaccine delivery.

Ongoing development of vaccines is limited by the techniques used to identify routes to immunization. Using open system gene expression profiling, researchers can now directly identify receptors used by M-cells in the transport of antigens to the mucosal immune system. These receptors will be ideal for targeted delivery of new synthetic vaccines. In addition, gene expression profiling will provide important new information on the biology of the M-cell and mucosal immune mechanisms.

Gene Expression Profiling↗

Soluble interleukin-6 receptor enhanced by oncostatin M induces major changes in gene expression profile of human hepatoma cells.

Interleukin-6 (IL-6) binds to a receptor complex consisting of an 80 kDa binding unit (IL-6R) and gp130 responsible for signal transduction. Due to alternative splicing and/or proteolytic digestion IL-6R occurs in soluble form (sIL-6R), as well. Soluble IL-6R is able to bind to gp130 expressing on nucleated cells, thus sIL-6R makes most cells responsive to IL-6. In this study we found that oncostatin M (OSM), an other gp130 dependent cytokine with proliferation inhibitory potential, increases the expression of both membrane-bound IL-6R and sIL-6R generated by alternative splicing in hepatic and mammary carcinoma cell lines. Furthermore, we studied the functional relevance of the presence and binding of soluble IL-6R to HepG2 cells. Using a cDNA expression array, mRNA levels of about 580 human genes were tested by differential display analysis. Our findings suggest, that elevation of surface density of IL-6R by attachment of sIL-6R induces major modulation in gene expression profile of the hepatoma cells. Soluble IL-6R alone has minor effect, it rather decreases expression of some genes, while incubation with IL-6 and sIL-6R together induces major changes in the mRNA pattern of HepG2 cells. These data strongly suggest that presence and binding of soluble cytokine receptors are important elements of inter-cytokine cross talk and affects actual gene expression profile of responding cells.

Alternative Splicing↗

An optimized isolation and labeling platform for accurate microRNA expression profiling.

MicroRNAs (miRNAs) are small, noncoding RNAs that regulate gene expression in both plants and animals. miRNA genes have been implicated in a variety of important biological processes, including development, differentiation, apoptosis, fat metabolism, viral infection, and cancer. Similar to protein-coding messenger RNAs, miRNA expression varies between tissues and developmental states. To acquire a better understanding of global miRNA expression in tissues and cells, we have developed isolation, labeling, and array procedures to measure the relative abundance of all of the known human mature miRNAs. The method relies on rapid isolation of RNA species smaller than ~40 nucleotides (nt), direct and homogenous enzymatic labeling of the mature miRNAs with amine modified ribonucleotides, and hybridization to antisense DNA oligonucleotide probes. A thorough performance study showed that this miRNA microarray system can detect subfemtomole amounts of individual miRNAs from <1 mug of total RNA, with 98% correlation between independent replicates. The system has been applied to compare the global miRNA expression profiles in 26 different normal human tissues. This comprehensive analysis identified miRNAs that are preferentially expressed in one or a few related tissues and revealed that human adult tissues have unique miRNA profiles. This implicates miRNAs as important components of tissue development and differentiation. Taken together, these results emphasize the immense potential of microarrays for sensitive and high-throughput analysis of miRNA expression in normal and disease states.

Adult↗

Effects of urinary and recombinant gonadotrophins on gene expression profiles during the murine peri-implantation period.

BACKGROUND: Controlled ovarian stimulation (COS) with urinary gonadotrophins but not recombinant gonadotrophins, adversely affect the implantation process. In this study, we investigated the effects of urinary and recombinant gonadotrophins on gene expression profiles at implantation sites during the mouse peri-implantation period and the possible molecular mechanisms involved in the detrimental effects of urinary gonadotrophins using microarray technology. METHODS: Adult female CD1 mice were treated with (i) urinary human FSH (hFSH) and urinary HCG, (ii) recombinant hFSH and recombinant human LH or (iii) saline. Gene expression profiling with GeneChip mouse genome 430 2.0 arrays, containing 45 101 probe sets, was performed using implantation sites on embryonic day 5. Data were statistically analysed using Significance Analysis of Microarrays. Ten genes from the microarray analysis were selected for validation using quantitative RT-PCR (qRT-PCR). A parallel group of pregnant mice was allowed to give birth to study the effect of gonadotrophins on resorption. RESULTS: Urinary gonadotrophins differentially up-regulated the expression of 30 genes, increased resorption and reduced litter size, whereas recombinant gonadotrophins did not. Nine of the 10 genes were confirmed by qRT-PCR. CONCLUSIONS: Urinary gonadotrophins, but not recombinant gonadotrophins, exerted differential effects on gene expression during the murine peri-implantation period. These findings might contribute to improve protocols for COS, leading to higher successful pregnancy rates.

Animals↗

Hippocampal gene expression profiling across eight mouse inbred strains: towards understanding the molecular basis for behaviour.

Mouse inbred strains differ in many aspects of their phenotypes, and it is known that gene expression does so too. This gives us an opportunity to isolate the genetic aspect of variation in expression and compare it to other phenotypic variables. We have investigated these issues using an eight-strain expression profile comparison with four replicates per strain on Affymetrix MGU74av2 GeneChips focusing on one well-defined brain tissue (the hippocampus). We identified substantial strain-specific variation in hippocampal gene expression, with more than two hundred genes showing strain differences by a very conservative criterion. Many such genetically driven differences in gene expression are likely to result in functional differences including differences in behaviour. A large panel of inbred strains could be used to identify genes functionally involved in particular phenotypes, similar to genetic correlation. The genetic correlation between expression profiles and function is potentially very powerful, especially given the current large-scale generation of phenotypic data on multiple strains (the Mouse Phenome Project). As an example, the strongest genetic correlation between more than 200 probe sets showing significant differences among our eight inbred strains and a ranking of these strains by aggression phenotype was found for Comt, a gene known to be involved in aggression.

Analysis of Variance↗

Identification of secernin 1 as a novel immunotherapy target for gastric cancer using the expression profiles of cDNA microarray.

Despite the discovery of multiple TAAs, only a limited number is available for clinical application, particularly against epithelial malignancies. In this study we searched for novel TAAs using expression profiles of gastric cancer examined with cDNA microarray, and identified the SCRN1 gene as a candidate. SCRN1 was confirmed to be expressed in five out of seven gastric cancers with semiquantitative RT-PCR. With Northern blot analysis, it was detected abundantly in the testis and ovary, but it was barely detectable in 14 other normal human adult organs. Colony formation assay revealed that its augmented expression is associated with promoted cell growth. As these expression profiles and functional features of SCRN1 appeared to be compatible with the characteristics of the hypothesized ideal TAAs, we examined whether SCRN1 protein contains antigenic epitope peptides restricted to HLA-A*0201. We synthesized the candidate peptides derived from SCRN1, and tried to induce CTLs with each peptide. The CTL clones were successfully induced with a peptide SCRN1-196 (KMDAEHPEL), and they lyzed not only the peptide-pulsed targets but also the tumor cells expressing both SCRN1 and HLA-A*0201 endogenously. These results strongly suggest that SCRN1-196 is an epitope peptide restricted to HLA-A*0201. Furthermore, we synthesized an anchor-modified peptide SCRN1-9 V (KMDAEHPEV), in which leucine at position 9 was substituted for valine to increase the binding affinity to the HLA-A*0201 molecules. The CTL clones induced by SCRN1-9 V also recognized tumor cells expressing its natural SCRN1 protein endogenously. These results strongly suggest that SCRN1 is a novel TAA and these peptides, both native and modified, may be applicable for cancer vaccines to treat gastric cancer.

Animals↗

Impact of haloperidol and risperidone on gene expression profile in the rat cortex.

Despite the clinical efficacy of the most thoroughly studied conventional neuroleptic agent haloperidol, and the atypical antipsychotic risperidone is well established, little information is available on their molecular effects. Recent advances in high-density DNA microarray techniques allow the possibility to analyze thousands of genes simultaneously for their differential gene expression patterns in various biological processes, and to determine mechanisms of drug action. The aim of this series of experiments was to gain experience in antipsychotic gene-expression profiling and characterize (in the parlance of genomics) the "antipsychotic transcriptome." In this prospective animal study, broad-scale gene expression profiles were characterized for brains of rats treated with antipsychotics and compared with those of sham controls. We used DNA microarrays containing 8000 sequences to measure the expression patterns of multiple genes in rat fronto-temporo-parietal cortex after intraperitoneal treatment with haloperidol or risperidone. A number of transcripts were differentially expressed between control and treated samples, of which only 36 and 89 were found to significantly differ in expression as a result of exposure to haloperidol or risperidone, respectively (P<0.05). Acutely, 13 genes were more highly expressed and 15 transcripts were found to be significantly less abundant, whereas chronically nine genes were up-regulated and none of them was repressed in haloperidol-treated cortices. Risperidone acutely induced 43 and repressed 46 genes, and chronically over-expressed 6 and down-regulated 11 transcripts. Selected genes were assayed by real-time PCR, then normalized to beta-actin. These assays confirmed the significance of the array results for all transcripts tested. Despite their differing receptor affinity and selectivity, our findings indicate that haloperidol and risperidone interfere with cell survival, neural plasticity, signal transduction, ionic homeostasis and metabolism in a similar manner.

Animals↗

Global gene expression profiles reveal significant nuclear reprogramming by the blastocyst stage after cloning.

Nuclear transfer (NT) has potential applications in agriculture and biomedicine, but the technology is hindered by low efficiency. Global gene expression analysis of clones is important for the comprehensive study of nuclear reprogramming. Here, we compared global gene expression profiles of individual bovine NT blastocysts with their somatic donor cells and fertilized control embryos using cDNA microarray technology. The NT embryos' gene expression profiles were drastically different from those of their donor cells and closely resembled those of the naturally fertilized embryos. Our findings demonstrate that the NT embryos have undergone significant nuclear reprogramming by the blastocyst stage; however, problems may occur during redifferentiation for tissue genesis and organogenesis, and small reprogramming errors may be magnified downstream in development.

Animals↗