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A microarray-based comparative analysis of gene expression profiles during grain development in transgenic and wild type wheat.

Global, comparative gene expression analysis is potentially a very powerful tool in the safety assessment of transgenic plants since it allows for the detection of differences in gene expression patterns between a transgenic line and the mother variety. In the present study, we compared the gene expression profile in developing seeds of wild type wheat and wheat transformed for endosperm-specific expression of an Aspergillus fumigatus phytase. High-level expression of the phytase gene was ensured by codon modification towards the prevalent codon usage of wheat genes and by using the wheat 1DX5HMW glutenin promoter for driving transgene expression. A 9K wheat unigene cDNA microarray was produced from cDNA libraries prepared mainly from developing wheat seed. The arrays were hybridised to flourescently labelled cDNA prepared from developing seeds of the transgenic wheat line and the mother variety, Bobwhite, at three developmental stages. Comparisons and statistical analyses of the gene expression profiles of the transgenic line vs. that of the mother line revealed only slight differences at the three developmental stages. In the few cases where differential expression was indicated by the statistical analysis it was primarily genes that were strongly expressed over a shorter interval of seed development such as genes encoding storage proteins. Accordingly, we interpret these differences in gene expression levels to result from minor asynchrony in seed development between the transgenic line and the mother line. In support of this, real time PCR validation of results from selected genes at the late developmental stage could not confirm differential expression of these genes. We conclude that the expression of the codon-modified A. fumigatus phytase gene in the wheat seed had no significant effects on the overall gene expression patterns in the developing seed.

6-Phytase↗

Characterization of the global profile of genes expressed in cervical epithelium by Serial Analysis of Gene Expression (SAGE).

BACKGROUND: Serial Analysis of Gene Expression (SAGE) is a new technique that allows a detailed and profound quantitative and qualitative knowledge of gene expression profile, without previous knowledge of sequence of analyzed genes. We carried out a modification of SAGE methodology (microSAGE), useful for the analysis of limited quantities of tissue samples, on normal human cervical tissue obtained from a donor without histopathological lesions. Cervical epithelium is constituted mainly by cervical keratinocytes which are the targets of human papilloma virus (HPV), where persistent HPV infection of cervical epithelium is associated with an increase risk for developing cervical carcinomas (CC). RESULTS: We report here a transcriptome analysis of cervical tissue by SAGE, derived from 30,418 sequenced tags that provide a wealth of information about the gene products involved in normal cervical epithelium physiology, as well as genes not previously found in uterine cervix tissue involved in the process of epidermal differentiation. CONCLUSION: This first comprehensive and profound analysis of uterine cervix transcriptome, should be useful for the identification of genes involved in normal cervix uterine function, and candidate genes associated with cervical carcinoma.

Cervix Uteri↗

Global analysis of gene expression patterns during disuse atrophy in rat skeletal muscle.

Muscular inactivity leads to atrophy, weakness, and decreased fatigue resistance. In order to provide a window into the dynamic processes that underlie muscle atrophy, we performed global gene expression analysis of rat soleus muscles using Affymetrix GeneChips at 1, 4, 7 and 14 days of hindlimb unloading. Expression of 309 known genes was significantly changed by at least 2-fold (212 upregulated, 97 downregulated). K-means clustering was used to divide these genes into co-regulated clusters based on the similarity of temporal expression patterns. This allowed the development of a timeline of the atrophy process with respect to the behaviour of genes in a broad array of functional categories. Regulatory genes were often upregulated early, in either a transient or sustained manner, but they also populated clusters with later patterns of activation, suggesting different phases of molecular adaptations. Other early events were the activation of ubiquitination genes and downregulation of protein chaperones. In comparison, clusters representing slightly delayed activation patterns included genes involved in fast contraction, glycolysis, translational inhibition, oxidative stress, protein degradation, and amino acid catabolism. Downregulated genes exhibited fewer unique expression patterns and included structural and regulatory genes of the extracellular matrix and cytoskeleton, and genes that define a slow-oxidative phenotype. Other novel findings include the tight co-activation of proteasome subunit and ubiquitination genes, differential regulation of serine proteases and serine protease inhibitors, and the identification of transcriptional, signalling, growth and cell cycle genes that probably play a role in the atrophy process. The present work has uncovered temporal patterns of gene expression that highlight the molecular processes that underlie muscle atrophy and provide new avenues for study.

Animals↗

Technical advance: transcript profiling in rice (Oryza sativa L.) seedlings using serial analysis of gene expression (SAGE)

Serial analysis of gene expression (SAGE) was applied for profiling expressed genes in rice seedlings. In the SAGE method, a 9-11 bp fragment (tag) represents each transcript, and frequency of a tag in the sample directly reflects the abundance of the respective mRNA. We studied 10 122 tags derived from 5921 expressed genes in rice (Oryza sativa L.) seedlings, among which only 1367 genes (23.1%) matched the rice cDNA or EST sequences in the DNA database. SAGE showed that most of the highly expressed genes in rice seedlings belong to the category of housekeeping genes (genes encoding ribosomal proteins or proteins responsible for metabolism and cell structure). Unexpectedly, the most highly expressed gene in rice seedlings was a metallothionein (MT) gene, and together with three other messages for MT, it accounts for 2.7% of total gene expression. To our knowledge, this is the first quantitative study of global gene expression in a higher plant. We further applied the SAGE technique to identify differentially expressed genes between anaerobically treated and untreated rice seedlings. Additionally, we show that a longer cDNA fragment can be easily recovered by PCR using the SAGE tag sequence as a primer, thereby facilitating the analysis of unknown genes identified by tag sequence in SAGE. In combination with micro-array analysis, SAGE should serve as a highly efficient tool for the identification and isolation of differentially expressed genes in plants.

Journal Article↗

Identification of differentially expressed genes by serial analysis of gene expression in human prostate cancer.

Prostate cancer is the leading cause of cancer death in American males. To better understand the genetic bases of this disease, we have generated a comprehensive molecular profile of human prostate. The gene expression pattern in normal and prostate cancer tissues was analyzed by serial analysis of gene expression (SAGE). A total of 133,217 transcripts were analyzed, and 35,185 distinct SAGE tags were identified representing 19,287 genes. Comparison of the transcripts in normal and tumor tissue revealed 156 differentially expressed genes (P < 0.05), of which 88 genes were up-regulated and 68 genes were down-regulated in the tumor tissue. Based on SAGE data, we estimate that the transcriptome for human prostate is approximately 37,000. Several differentially expressed genes identified by SAGE were selected for confirmation using immunohistochemistry. Some genes (e.g., E2F4) were overexpressed in tumor epithelial cells and some (e.g., Daxx) were increased in tumor stroma. Further characterization of the role of E2F4 and Daxx as well as other differentially expressed genes may provide useful insights into the mechanism of prostate cancer development.

Dihydrotestosterone↗

Microarray analysis of gene expression in metastatic gastric cancer cells after incubation with the methylation inhibitor 5-aza-2'-deoxycytidine.

While the exact mechanisms involved in cancer metastasis are not fully clarified, the altered expression of many different genes has been reported. Hypermethylation of the promoters of cancer-related genes is often associated with their inactivation during tumorigenesis and may also be involved in metastasis. Here we used cDNA microarrays to examine the different gene expression profiles of a primary gastric adenocarcinoma cell line RF1 and its derivative metastasis subline RF48. Compared with RF1, 49 genes were down-regulated and 8 genes were up-regulated in RF48. After treatment of RF48 cells with a DNA methylation inhibitor, 5-aza-2'-deoxycytidine, 101 genes were up-regulated and 1 gene was down-regulated in treated RF48 when compared with untreated RF48. Comparing gene expression patterns of untreated RF1, untreated RF48 and treated RF48 cells showed 5 genes expressed in RF1 but silenced in RF48, which were reactivated after 5-aza-2'-deoxycytidine treatment. Two of those 5 genes have CpG islands within their promoter regions, suggesting that those genes activated by 5-aza-2'-deoxycytidine may result from the direct inhibition of promoter methylation. In conclusion, using global gene expression analysis together with inhibition of DNA methylation, we demonstrate that hypermethylation of the promoters of certain cancer-related genes may play a role in cancer metastasis.

Adenocarcinoma↗

Optimization of probe length and the number of probes per gene for optimal microarray analysis of gene expression.

Gene-specific oligonucleotide probes are currently used in microarrays to avoid cross-hybridization of highly similar sequences. We developed an approach to determine the optimal number and length of gene-specific probes for accurate transcriptional profiling studies. The study surveyed probe lengths from 25 to 1000 nt. Long probes yield better signal intensity than short probes. The signal intensity of short probes can be improved by addition of spacers or using higher probe concentration for spotting. We also found that accurate gene expression measurement can be achieved with multiple probes per gene and fewer probes are needed if longer probes rather than shorter probes are used. Based on theoretical considerations that were confirmed experimentally, our results showed that 150mer is the optimal probe length for expression measurement. Gene-specific probes can be identified using a computational approach for 150mer probes and they can be treated like long cDNA probes in terms of the hybridization reaction for high sensitivity detection. Our experimental data also show that probes which do not generate good signal intensity give erroneous expression ratio measurement results. To use microarray probes without experimental validation, gene-specific probes approximately 150mer in length are necessary. However, shorter oligonucleotide probes also work well in gene expression analysis if the probes are validated by experimental selection or if multiple probes per gene are used for expression measurement.

Escherichia coli↗

cDNA microarray analysis of gene expression changes induced by dexamethasone in cultured human trabecular meshwork cells.

PURPOSE: To profile gene expression changes induced by dexamethasone in cultured human trabecular meshwork (TM) cells and identify genes related to the occurrence of steroid-induced glaucoma. METHODS: At confluence, dexamethasone (final concentration 10(-7) M in 0.1% ethanol) or vehicle alone (control, 0.1% ethanol) was applied to cultured human TM cells from eyes of four normal subjects. After 7 days of application, a labeled cDNA probe was synthesized from extracted total RNA and hybridized to a human cDNA microarray containing 2400 genes. After hybridization, the tyramide signal was amplified, and the fluorescent signals on each microarray were scanned and analyzed. RESULTS: In dexamethasone-treated TM cells, simultaneous analysis of 2400 human genes indicated a more than twofold increase in 30 genes. Five of them, myocilin (MYOC), decorin, insulin-like growth factor binding protein 2, ferritin L chain, and fibulin-1C, were the most upregulated genes with higher-than-control expression levels in all four experiments. Their upregulation was further confirmed by semiquantitative RT-PCR. Downregulation, with fluorescent signals decreased to less than a half, was found in 34 genes. The dexamethasone-induced expression changes in most of these TM cell genes have not been reported previously. CONCLUSIONS: cDNA microarray is a useful tool for gene expression analysis that confirms previous reports of upregulated mRNA expression of MYOC after treatment with dexamethasone in human TM cells. Changes in other genes subsequent to the treatment with dexamethasone may also reduce outflow facility, providing new insights into the pathogenesis of steroid-induced glaucoma.

Adolescent↗

Radiation-induced changes in gene expression in the silkworm revealed by serial analysis of gene expression (SAGE).

Serial analysis of gene expression (SAGE) was used to examine the profile of expressed genes during embryonic development in the domesticated silkworm, Bombyx mori, after irradiation with Cobalt-60. A comparison of the SAGE sequence tags derived from irradiated embryos with those from normal embryos revealed 673 differentially expressed genes (P < 0.01 and at least three folds change). Of these, 292 genes were highly expressed in normal embryos and 381 genes were highly expressed in irradiated embryos. These results provide valuable information for understanding the mechanisms of radiation-induced changes in gene expression. In addition, it was noted that the generation of longer cDNA fragments from SAGE tags is an efficient way to identify genes, thereby facilitating the analysis of large numbers of unknown genes.

Animals↗

A literature network of human genes for high-throughput analysis of gene expression.

We have carried out automated extraction of explicit and implicit biomedical knowledge from publicly available gene and text databases to create a gene-to-gene co-citation network for 13,712 named human genes by automated analysis of titles and abstracts in over 10 million MEDLINE records. The associations between genes have been annotated by linking genes to terms from the medical subject heading (MeSH) index and terms from the gene ontology (GO) database. The extracted database and accompanying web tools for gene-expression analysis have collectively been named 'PubGene'. We validated the extracted networks by three large-scale experiments showing that co-occurrence reflects biologically meaningful relationships, thus providing an approach to extract and structure known biology. We validated the applicability of the tools by analyzing two publicly available microarray data sets.

Computer Communication Networks↗

Global analysis of gene expression patterns in developing mouse neocortex using serial analysis of gene expression.

Molecular inventories of the developing mouse neocortex before and after birth were generated using the global gene expression profiling tool serial analysis of gene expression (SAGE). Libraries were generated from embryonic day 15 and postnatal day 1 mouse neocortex and more than 40,000 tags were collected (20,211 and 22,001 tags, representing 11,706 and 12,402 transcripts, respectively). Comparison of the two libraries resulted in the identification of 321 transcripts that were differentially expressed (P < 0.05). Differential expression was independently verified for selected genes by Northern blotting, and in situ hybridization revealed spatial expression patterns in the neocortex. Differentially expressed transcripts included genes known to be important in neocortical development (e.g., brain factor 1, neuroD2, and Id2), genes not previously associated with neocortical development (such as brahma-related gene 1, receptor for activated C-kinase I, hypermethylated in cancer 2, and Evi9), and genes of unknown identity or function.

Animals↗

Analysis of gene expression in human bullous keratopathy corneas containing limiting amounts of RNA.

PURPOSE: To validate the use of polymerase chain reaction (PCR)-amplified full-length cDNA as a substitute for mRNA in nucleic acid array and gene expression analysis. METHODS: Total RNA was isolated from age-matched normal autopsy corneas and pseudophakic bullous keratopathy (PBK) corneas. Full-length cDNA was generated and PCR amplified using the Smart cDNA synthesis technology. Southern blot analysis of this cDNA was compared with Northern blot analysis of the RNA. Amplified cDNA was used to probe a commercial gene array. By immunohistochemistry, the expression pattern of several adhesion molecules represented on the array was assessed. RESULTS: The cDNA produced by the Smart cDNA system gave results very similar to those of northern blot analysis when examined for beta2-microglobulin, Rab geranylgeranyl transferase, and tenascin-C. This cDNA obtained from normal or PBK corneas was labeled and used to probe a 588 gene array (Clontech). Among other differences, beta6 integrin was detected only with the PBK probe, beta-catenin was markedly elevated in PBK, and beta4 integrin appeared to be reduced in PBK. Immunohistochemical patterns of these proteins were consistent with the hybridization signals on the gene array. CONCLUSIONS: Smart cDNA synthesis and nucleic acid arrays were combined and validated for the first time to identify differential gene expression in normal and diseased corneas. These techniques require very little RNA such as that equivalent to a half of a single cornea, which is useful when the amount of tissue is limiting. Altered expression of adhesive proteins beta6 integrin and beta-catenin may be related to the formation of epithelial bullae and microcystic changes in PBK patients.

Antigens, CD↗

A comparative molecular analysis of developing mouse forelimbs and hindlimbs using serial analysis of gene expression (SAGE).

The analysis of differentially expressed genes is a powerful approach to elucidate the genetic mechanisms underlying the morphological and evolutionary diversity among serially homologous structures, both within the same organism (e.g., hand vs. foot) and between different species (e.g., hand vs. wing). In the developing embryo, limb-specific expression of Pitx1, Tbx4, and Tbx5 regulates the determination of limb identity. However, numerous lines of evidence, including the fact that these three genes encode transcription factors, indicate that additional genes are involved in the Pitx1-Tbx hierarchy. To examine the molecular distinctions coded for by these factors, and to identify novel genes involved in the determination of limb identity, we have used Serial Analysis of Gene Expression (SAGE) to generate comprehensive gene expression profiles from intact, developing mouse forelimbs and hindlimbs. To minimize the extraction of erroneous SAGE tags from low-quality sequence data, we used a new algorithm to extract tags from -analyzed sequence data and obtained 68,406 and 68,450 SAGE tags from forelimb and hindlimb SAGE libraries, respectively. We also developed an improved method for determining the identity of SAGE tags that increases the specificity of and provides additional information about the confidence of the tag-UniGene cluster match. The most differentially expressed gene between our SAGE libraries was Pitx1. The differential expression of Tbx4, Tbx5, and several limb-specific Hox genes was also detected; however, their abundances in the SAGE libraries were low. Because numerous other tags were differentially expressed at this low level, we performed a 'virtual' subtraction with 362,344 tags from six additional nonlimb SAGE libraries to further refine this set of candidate genes. This subtraction reduced the number of candidate genes by 74%, yet preserved the previously identified regulators of limb identity. This study presents the gene expression complexity of the developing limb and identifies candidate genes involved in the regulation of limb identity. We propose that our computational tools and the overall strategy used here are broadly applicable to other SAGE-based studies in a variety of organisms. [SAGE data are all available at GEO (http://www.ncbi.nlm.nih.gov/geo/) under accession nos. GSM55 and GSM56, which correspond to the forelimb and hindlimb raw SAGE data.]

Animals↗

Global analysis of gene expression using GeneChip microarrays.

DNA microarray technology, especially the use of GeneChip microarrays, has become a standard tool for parallel gene expression analysis. Recent improvements in GeneChip microarrays enable whole-genome expression analysis, and thus open a new avenue for studies of the composition, dynamics, and regulation of the transcriptome in plants.

Computational Biology↗

Use of simplified transcriptors for the analysis of gene expression profiles in laser-microdissected cell populations.

Because colorectal epithelia are prone to malignant transformation, it is important to understand their normal regulation and then to identify differences between the normal cells and the transformed cells. We investigated the gene expression pattern along colonic crypts using a novel gene expression analysis strategy. We combined laser-mediated microdissection of distinct areas within colonic crypts and used modified RNA arbitrarily primed PCR to generate probes for cDNA array hybridization. In the basal part of the crypt, proliferation-related and cell cycle-related genes such as the multifunctional transcription factor e2f-1 or the mismatch-related gene p58/HHR23B were predominantly expressed. In the lumenal part of the crypt, up-regulations of the cysteine protease mch4 and the proto-oncogene c-jun were found. Our findings indicate that e2f1, p58/HHR23B, and mch4 may be involved in key mechanisms leading to malignant transformation in the colonic crypt. Our results also suggest that the technique elucidated here allows identification of gene expression patterns in distinct areas of intestinal tissue samples.

Biopsy↗

Automated pattern ranking in differential display data analysis.

Gene expression analysis by differential display (DD) is limited by the labor-intensive visual evaluation of the electrophoretic data traces. We describe a flexible method for computer-assisted ranking of expression patterns in data from DD experiments. The method is based on a pairwise alignment and comparison of the quantitative trace data with respect to specific expression patterns defined by the investigator. The observed patterns are ranked according to a score value that identifies the most potential findings to be confirmed visually instead of the vast amount of original results. This two-step approach, enabled by the efficient computer algorithm for gene expression pattern comparison, will increase the percentage of true-positive findings chosen for the tedious downstream processing, while minimizing the cost and labor involved in large scale DD data analysis.

Algorithms↗

Global expression analysis of gene regulatory pathways during endocrine pancreatic development.

To define genetic pathways that regulate development of the endocrine pancreas, we generated transcriptional profiles of enriched cells isolated from four biologically significant stages of endocrine pancreas development: endoderm before pancreas specification, early pancreatic progenitor cells, endocrine progenitor cells and adult islets of Langerhans. These analyses implicate new signaling pathways in endocrine pancreas development, and identified sets of known and novel genes that are temporally regulated, as well as genes that spatially define developing endocrine cells from their neighbors. The differential expression of several genes from each time point was verified by RT-PCR and in situ hybridization. Moreover, we present preliminary functional evidence suggesting that one transcription factor encoding gene (Myt1), which was identified in our screen, is expressed in endocrine progenitors and may regulate alpha, beta and delta cell development. In addition to identifying new genes that regulate endocrine cell fate, this global gene expression analysis has uncovered informative biological trends that occur during endocrine differentiation.

Animals↗

Utility of the housekeeping genes 18S rRNA, beta-actin and glyceraldehyde-3-phosphate-dehydrogenase for normalization in real-time quantitative reverse transcriptase-polymerase chain reaction analysis of gene expression in human T lymphocytes.

The accuracy of 18S rRNA, beta-actin mRNA and glyceraldehyde-3-phosphate dehydrogenase (GAPDH) mRNA as indicators of cell number when used for normalization in gene expression analysis of T lymphocytes at different activation stages was investigated. Quantitative real-time reverse transcriptase-polymerase chain reaction was used to determine the expression level of 18S rRNA, beta-actin mRNA, GAPDH mRNA and mRNA for six cytokines in carefully counted samples of resting human peripheral blood mononuclear cells (PBMCs), intestinal lymphocytes and PBMCs subjected to polyclonal T-cell activation. The 18S rRNA level in activated and resting PBMCs and intestinal lymphocytes was essentially the same, while the levels of beta-actin and GAPDH mRNAs fluctuated markedly upon activation. When isolated gammadeltaTCR(+), CD4(+) and CD8(+) subpopulations were studied, 18S rRNA levels remained unchanged after 21 h of activation but increased slightly after 96 h. In contrast, there was a 30-70-fold increase of GAPDH mRNA/cell in these cell populations upon activation. Cytokine analysis revealed that only normalization to 18S rRNA gave a result that satisfactorily reflected their mRNA expression levels per cell. In conclusion, 18S rRNA was the most stable housekeeping gene and hence superior for normalization in comparative analyses of mRNA expression levels in human T lymphocytes.

Actins↗