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Results for “comparative transcriptomics”

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PubMedDate not supplied

Compendium of gene expression profiles comprising a baseline model of the human liver drug metabolism transcriptome.

Oligonucleotide microarrays were used to study the variability of pharmacokinetics and drug metabolism (PKDM)-related gene expression in 75 normal human livers. The objective was to define and use absorption, distribution, metabolism and excretion (ADME) gene expression variability to discern co-regulated genes and potential surrogate biomarkers of inducible gene expression. RNA was prepared from donor tissue and hybridized on Agilent microarrays against an RNA mass balanced pool from all donors. Clustering of PKDM gene sets revealed donors with distinct patterns of gene expression that grouped genes known to be regulated by the nuclear receptor, pregnane X-receptor (PXR). Fold range metrics and frequency distributions from the heterogeneous human population were used to define the variability of individual PKDM genes in the 75 human livers and were placed in context by comparing expression data with basal ADME gene expression variability in an inbred and diet/environment controlled population of 27 Rhesus livers. The most variable genes in the hepatic transcriptome were mainly related to drug metabolism, intermediary metabolism, inflammation and cell cycle control. Unique patterns of expression across 75 individuals of inducible ADME gene expression allowed their expression to be correlated with the expression of many other genes. Correlated genes for AhR, CAR and PXR responsive genes (CYP1A2, CYP2B6 and CYP3A4) were identified that may be co-regulated and, therefore, provide clues to the identity of surrogate gene or protein markers for CYP induction. In conclusion, microarrays were used to define the variable expression of hepatic ADME genes in a diverse human population, the expression variability of ADME genes was compared with the expression variability in an inbred population of Rhesus monkeys, and genes were defined that may be co-regulated with important inducible CYP genes.

Animals↗

PubMed2026

Transcriptomic and proteomic signatures following AS03-adjuvanted Influenza A/H7N9 vaccine.

INTRODUCTION: Vaccines targeting avian influenza virus A/H7N9 are poorly immunogenic. While the immune responses can be improved with oil-in-water emulsion adjuvants such as Adjuvant System 03 (AS03), the cellular mechanisms underpinning the adjuvant effect are incompletely characterized and poorly understood. METHODS: We enrolled 30 healthy adult participants and used RNA sequencing and quantitative proteomics to characterize the response to two doses of the influenza A/H7N9 vaccine, with and without AS03, in six immune cell types. These responses were compared to those seen after administration of an unadjuvanted seasonal in uenza A/H3N2 variant vaccine to identify signatures unique to adjuvanted influenza vaccines and correlated with later antibody responses. Transcriptomic and proteomic analyses revealed that. RESULTS: AS03-adjuvanted vaccine was associated with upregulation of immune pathways in innate immune cells within 24h following vaccination for phagocytosis, antigen presentation and processing, inflammasome activation, NK-cell mediated cytotoxicity, IgA production, and interferon-response pathways. Moreover, while major histocompatibility complex (MHC I and II) upregulation was observed across multiple immune cell types, MHCII gene transcription was also increased in the neutrophil compartment, generating the hypothesis that neutrophils may play a more important role in antigen presentation than previously understood. DISCUSSION: Taken together, these data provide a more complete mechanistic understanding of oil-in-water adjuvants and their role in enhancing the immune response for pandemic influenza preparedness. CLINICAL TRIAL REGISTRATION: https://clinicaltrials.gov/study/NCT02921997?term=NCT02921997&viewType, idientifier NCT02921997.

Adult↗

PubMed2004

Possibilities and results in the wide-scale genomic analysis of inflammation. Looking for the child among many midwives.

Only recently, available microarray methods have been extended to the investigation of such complex pathophysiological conditions as inflammatory disease. Genome analysis gives the possibility of looking for susceptibility gene loci and their allelic combinations. By the analysis of mRNAs (transcriptome), novel players, functional groups of participants and regulatory pathways involved in the inflammation can be revealed. The possibility of comparing several samples is ideal to increase our knowledge about the kinetics of inflammation. The effects and post-receptor signalling events of individual pro- or anti-inflammatory mediators can also be tested. The use of human post mortem samples could yield otherwise inaccessible information on molecular mechanisms of chronic inflammatory diseases. However, the analysis and interpretation of a huge amount of data, the selection of appropriate experimental systems and time points may hide some pitfalls, which emphasize the need to confirm results with independent methods such as e.g. semi-quantitative Northern, real time PCR, RNA-ase protection assay as well as functional studies.

Acute-Phase Reaction↗

PubMed2006

Sex-biased gene expression in a ZW sex determination system.

Studies of the transcriptome have shown that a substantial fraction of interspecific differences in gene expression is the result of sex-biased gene expression. These results suggest that sex-dependent selection may be an important force in generating differences between species but to date all studies have focused on Drosophila. We examined a sample of the transcriptome in the gonads of two species of Xenopus to provide an additional test of how sex-biased gene expression may contribute to differences in gene expression between species. In contrast to Drosophila, Xenopus provides an example of a ZW system with morphologically indistinguishable sex chromosomes. About 81% of the transcriptome was differentially expressed between X. laevis and X. muelleri and there were more genes that were male-biased compared to the number of genes that were female-biased or non-sex-biased. While there were more genes up-regulated in males of Xenopus, the largest magnitude difference in expression between species occurred in female-biased genes, and male-biased genes were proportionally more abundant for the smallest changes in expression between species. Our results suggest that more genes have a role in the function of the testis compared to the ovary and female-biased genes play a principle role in expression divergence between species. These results differ from those in the Drosophila XY system in that more female-biased genes had >4-fold difference of expression between species than male-biased genes, suggesting that ZW sex chromosomes may facilitate enhanced gene expression divergence between species.

Animals↗

PubMed2025

The correlation of DPM1 overexpression with immune infiltration and poor prognosis in hepatocellular carcinoma.

BACKGROUND: The DPM1 gene, crucial for glycosylation processes, has shown abnormal expression in various cancers, raising interest in its potential oncogenic role and as a biomarker in hepatocellular carcinoma (HCC). METHODS: Transcriptomic data were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. DPM1 expression levels were compared between HCC tissues and adjacent normal tissues. Clinical correlations were assessed using statistical analyses, including survival analysis and multivariate Cox regression. Immune microenvironment profiling was conducted to evaluate associations between DPM1 expression and immune cell infiltration patterns. RESULTS: Elevated DPM1 levels were associated with advanced tumor stages (P < 0.001), higher pathologic T stage (P < 0.001), increased histologic grade (P < 0.001), tumor positivity (P < 0.001), tissue inflammation (P < 0.001), and elevated alpha-fetoprotein levels (AFP > 400 ng/mL, P < 0.05). Multivariate Cox regression analysis identified DPM1 as an independent prognostic factor for reduced overall survival (HR = 1.990, 95% CI 1.390-2.848). Immunological analysis revealed that DPM1 expression was positively correlated with T helper cells (R = 0.268, P < 0.001) and Th2 cells (R = 0.295, P < 0.001), and negatively correlated with plasmacytoid dendritic cells (R=-0.291, P < 0.001) and cytotoxic cells (R=-0.284, P < 0.001). CONCLUSIONS: DPM1 serves as a promising prognostic biomarker in HCC, with its expression correlating with unfavorable clinical outcomes and immune landscape alterations. Future studies should further validate DPM1's impact on ferroptosis and immune evasion in HCC, and explore its potential as a therapeutic target.

DPM1↗

PubMed2000

Genomic exploration of the hemiascomycetous yeasts: 4. The genome of Saccharomyces cerevisiae revisited.

Since its completion more than 4 years ago, the sequence of Saccharomyces cerevisiae has been extensively used and studied. The original sequence has received a few corrections, and the identification of genes has been completed, thanks in particular to transcriptome analyses and to specialized studies on introns, tRNA genes, transposons or multigene families. In order to undertake the extensive comparative sequence analysis of this program, we have entirely revisited the S. cerevisiae sequence using the same criteria for all 16 chromosomes and taking into account publicly available annotations for genes and elements that cannot be predicted. Comparison with the other yeast species of this program indicates the existence of 50 novel genes in segments previously considered as 'intergenic' and suggests extensions for 26 of the previously annotated genes.

Ascomycota↗

PubMed2003

Parallel analysis of transcript and metabolic profiles: a new approach in systems biology.

The past few years in the medical and biological sciences have been characterized by the advent of systems biology. However, despite the well-known connectivity between the molecules described by transcriptomic, proteomic and metabolomic approaches, few studies have tried to correlate parameters across the various levels of systemic description. When comparing the discriminatory power of metabolic and RNA profiling to distinguish between different potato tuber systems, using the techniques described here suggests that metabolic profiling has a higher resolution than expression profiling. When applying pairwise transcript-metabolite correlation analyses, 571 of the 26,616 possible pairs showed significant correlation, most of which was novel and included several strong correlations to nutritionally important metabolites. We believe this approach to be of high potential value in the identification of candidate genes for modifying the metabolite content of biological systems.

Computational Biology↗

PubMed2004

Cross-species microarray transcript profiling reveals high constitutive expression of metal homeostasis genes in shoots of the zinc hyperaccumulator Arabidopsis halleri.

Arabidopsis halleri ssp. halleri (accession Langelsheim) is a naturally selected zinc (Zn)- and cadmium-tolerant Zn hyperaccumulator. This plant differs strikingly from its close relative A. thaliana by accumulating Zn specifically in above-ground tissues. A. thaliana GeneChips were used in order to identify, on a transcriptome-wide scale, genes with a potential involvement in cellular metal uptake or detoxification in the shoots of A. halleri. Compared to A. thaliana, transcript abundance of several genes was found and confirmed to be substantially higher in A. halleri after 4 days of exposure to low as well as high Zn concentrations in the hydroponic culture medium. The identified candidate genes encode proteins closely related to the following A. thaliana proteins: AtZIP6, a putative cellular Zn uptake system and member of the zinc-regulated transporter (ZRT)-iron regulated transporter (IRT)-like protein (ZIP)-family of metal transporters, the putative P-type metal ATPase AtHMA3, the cation diffusion facilitator ZAT/AtCDF1, and the nicotianamine synthase AtNAS3. Heterologous expression in mutant strains of the yeast Saccharomyces cerevisiae suggested that AhHMA3, AhCDF1-3, and AhNAS3 can function in cellular Zn detoxification. Our data indicate that, at the transcript level, the Zn tolerance strategy of A. halleri involves high constitutive expression of metal homeostasis genes in the shoots to accommodate higher basal levels of Zn accumulation, and possibly to prepare for sudden increases in Zn influx into shoot cells. Furthermore, profiling of metal homeostasis gene transcripts in shoot and root tissues by real-time RT-PCR indicated that A. halleri and A. thaliana respond differently to changes in plant Zn status.

Arabidopsis↗

PubMed2025

Understanding the sources of performance in deep drug response models reveals insights and improvements.

MOTIVATION: Anti-cancer drug response prediction (DRP) using cancer cell lines (CLs) is crucial in stratified medicine and drug discovery. Recently, new deep learning models for DRP have improved performance over their predecessors. However, different models use different input data types and architectures making it hard to find the source of these improvements. Here we consider published DRP models that report state-of-the-art performance predicting continuous response values. These models take chemical structures of drugs and omics profiles of CLs as input. RESULTS: By experimenting with these models and comparing with our simple baselines, we show that no performance comes from drug features, instead, performance is due to the transcriptomics CL profiles. Furthermore, we show that, depending on the testing type, much of the current reported performance is a property of the training target values. We address these limitations by creating BinaryET and BinaryCB that predict binary drug response values, guided by the hypothesis that this reduces the noise in the drug efficacy data. Thus, better aligning them with biochemistry that can be learnt from the input data. BinaryCB leverages a chemical foundation model, while BinaryET is trained from scratch using a transformer-type architecture. We show that these models learn useful chemical drug features, which is the first time this has been demonstrated for multiple testing types to our knowledge. We further show binarizing the drug response values causes the models to learn useful chemical drug features. We also show that BinaryET improves performance over BinaryCB, and the published models that report state-of-the-art performance. AVAILABILITY AND IMPLEMENTATION: Code is available from https://github.com/Nik-BB/Understanding_DRP_models.

Humans↗

PubMed2006

Multiple microarray platforms utilized for hepatic gene expression profiling of GH transgenic coho salmon with and without ration restriction.

The objectives of this study are to examine hepatic gene expression changes caused by GH transgenesis and enhanced growth. This is the first use of cDNA microarrays to study the influence of GH transgenesis on liver gene expression in a non-mammalian vertebrate, and the first such study using sexually immature animals. Three groups of coho salmon were examined: GH transgenic on full ration (T), GH transgenic on restricted ration (R), and control non-transgenic (C). Specific growth rates for weight in T were approximately eightfold higher than in C, and fourfold higher than in R. Differential gene expression in T, R, and C samples was determined using approximately 3500 and 16,000 gene microarrays, and R and C samples were compared on a different approximately 4000 gene microarray. The use of multiple microarray platforms increased the overall proportion of the hepatic transcriptome considered in these studies. Cross-platform comparisons identified genes behaving similarly between studies. For example, genes encoding a precerebellin-like protein and complement component C3 were downregulated in R relative to C (R < C) in two microarray studies, and hemoglobins alpha and beta were R > C in all three studies. Comparisons of informative gene lists within and between studies inferred causes of altered gene expression. For example, ten genes, including 78 kDa glucose-regulated protein, glycerol-3-phosphate dehydrogenase, hemoglobins alpha and beta, and a C-type lectin, were likely induced by GH transgenesis due to their presence in both T > C and R > C gene lists. Eleven genes, including hepcidin, nuclear protein p8, precerebellin-like, transketolase, and fatty acid-binding protein, were present in both T < C and R < C gene lists and were, therefore, likely suppressed by GH transgenesis. A large number of salmonid genes identified in these studies are involved in iron homeostasis, mitochondrial function, carbohydrate metabolism, cellular proliferation, and innate immunity. Pentose phosphate pathway genes phosphogluconate dehydrogenase, transaldolase, and transketolase, were dysregulated in GH transgenic samples relative to control samples. Changes in the expression of genes involved in maintaining hemoglobin levels (heme oxygenase, hemoglobins alpha and beta, Kruppel-like globin gene activator, hepcidin) in R and T fish indicate a need for additional hemoglobin in the transgenic fish, perhaps due to higher metabolic rate required for enhanced growth.

Animals↗

PubMed2007

Transcription profiling of adult and fetal human neuroprogenitors identifies divergent paths to maintain the neuroprogenitor cell state.

Global gene expression profiling was performed using RNA from adult human hippocampus-derived neuroprogenitor cells (NPCs) and multipotent frontal cortical fetal NPCs compared with adult human mesenchymal stem cells (hMSCs) as a multipotent adult stem cell control, and adult human hippocampal tissue, to define a gene expression pattern that is specific for human NPCs. The results were compared with data from various databases. Hierarchical cluster analysis of all neuroectodermal cell/tissue types revealed a strong relationship of adult hippocampal NPCs with various white matter tissues, whereas fetal NPCs strongly correlate with fetal brain tissue. However, adult and fetal NPCs share the expression of a variety of genes known to be related to signal transduction, cell metabolism and neuroectodermal tissue. In contrast, adult NPCs and hMSCs overlap in the expression of genes mainly involved in extracellular matrix biology. We present for the first time a detailed transcriptome analysis of human adult NPCs suggesting a relationship between hippocampal NPCs and white matter-derived precursor cells. We further provide a framework for standardized comparative gene expression analysis of human brain-derived NPCs with other stem cell populations or differentiated tissues. Disclosure of potential conflicts of interest is found at the end of this article.

Adolescent↗

PubMed2025

Transcriptomics and proteomics reveal associations between myometrium and intrauterine adhesions.

BACKGROUND: Intrauterine adhesions (IUAs) is a gynecological condition with a poor therapeutic prognosis, that severely threatens the fertility and the reproductive physiology and psychological health of women. Our previous research on the use of umbilical cord mesenchymal stem cells (HUCMSCs) for treating IUAs revealed that CM-Dil-labelled HUCMSCs were barely distributed in the endometrial epithelium. Instead, these cells were predominantly found in the myometrium, with no statistically significant difference in distribution compared to the endometrial stromal cells. Therefore, we aimed to explore the associations between the myometrium and IUAs. METHODS: Eight patients with moderate and 5 severe lesional IUAs were included in the experimental group. The control group included 7 patients whose inner and outer myometrium were normal. We used H&E, Masson's trichrome and immunohistochemical staining to obtain the pathological features of the tissues. Transcriptomic and proteomic analyses were conducted to identify differentially expressed genes, proteins and enrichment pathways. RESULTS: Both IUAs lesion tissues expressed the smooth muscle markers α-SMA and H-caldesmon, and there was no significant difference between severe IUAs tissue and normal myometrium (p > 0.05). Transcriptomic and proteomic data revealed that genes and proteins involved in cell mitosis, such as KIF14, KIF4A, and CIT, were downregulated in both IUAs lesion tissues compared with the inner myometrium (p < 0.05). Additionally, some genes or proteins that participate in activating the complement-coagulation cascade system and extracellular matrix (ECM) degradation also significantly differed (p < 0.05). CONCLUSIONS: Transcriptomic and proteomic data revealed a correlation between endometrial injury and the myometrium. These findings preliminarily revealed that the myometrium possibly contributes to the aetiology and progression of IUAs through dual mechanisms. On the one hand, the myometrium inhibits endometrial regeneration by suppressing the cell mitogenic pathway. On the other hand, it promotes fibrosis by activating the complement-coagulation cascade system and inhibiting the ECM degradation pathway. These new findings increase our understanding of the pathogenesis of IUAs and potentially contribute to the application of precision clinical treatment for IUAs.

Humans↗

PubMed2006

Plasmodium post-genomics: better the bug you know?

Since the publication of the sequence of the genome of Plasmodium falciparum, the major causative agent of human malaria, many post-genomic studies have been completed. Invaluably, these data can now be analysed comparatively owing to the availability of a significant amount of genome-sequence data from several closely related model species of Plasmodium and accompanying global proteome and transcriptome studies. This review summarizes our current knowledge and how this has already been--and will continue to be--exploited in the search for vaccines and drugs against this most significant infectious disease of the tropics.

Animals↗

PubMed2026

A Multifaceted Interplay Among Hemophagocytosis, Interleukin-18, and Type I Interferon Distinguishes Still Disease From Other Autoinflammatory Diseases.

OBJECTIVE: The unknown pathophysiology and the lack of specific features for systemic juvenile idiopathic arthritis and adult-onset Still disease (collectively known as Still disease; SD) delay diagnosis and appropriate treatment. The goal of this study was to identify features and mechanisms that distinguish SD from other systemic autoinflammatory diseases (SAID). METHODS: Using the SomaScan assay and RNA sequencing (RNA-Seq), we determined the plasma proteomes and immune cell microRNA (miRNA) and RNA transcriptomes of 372 patients with SAID, respectively. Proteomic findings were validated by enzyme-linked immunosorbent assays. SD (n = 72) and non-SD SAIDs (n = 300) were compared to identify distinguishing features of SD. We performed integrated and unbiased analyses of all data sets using weighted gene correlation network analysis to identify feature modules that characterize SD and stratify patients. RESULTS: Elevated plasma heme oxygenase 1 (HO-1) and interleukin-18 (IL-18) strongly correlate and characterize SD but do not associate with general inflammation. SD was characterized by ferroptosis in plasma, type I interferon (IFN) signaling in monocyte transcriptomes, and elevated natural killer cell miRNA-146a-5p, which is an IL-18 induced miRNA. Finally, we identified feature modules that distinguish SD from other SAIDs and stratified patients with SD into two distinct subgroups not attributable to disease activity or inflammation but hemophagocytosis. CONCLUSION: This unprecedented large omics data set of SAIDs revealed that complex interactions among hemophagocytosis, IL-18, and type I IFN signaling characterize SD. Furthermore, two distinct subgroups in patients with SD were distinguished by the degree of hemophagocytic activity. Finally, the large proteomics and RNA-Seq data sets generated in this study can serve as an invaluable resource for the further investigation of SD and other SAIDs.

Humans↗

PubMed2006

Graves' disease and Hashimoto's thyroiditis in monozygotic twins: case study as well as transcriptomic and immunohistological analysis of thyroid tissues.

OBJECTIVE: To report on the rare simultaneous occurrence of Graves' disease (GD) and Hashimoto's thyroiditis (HT) in monozygotic twins. DESIGN: We compared the pattern of thyroid tissue-derived cDNAs to gain insight into previous and ongoing immune destruction and reconstruction processes using microarrays. The results were confirmed by immunohistology and real-time PCR. RESULTS: Destruction of thyroid tissue in HT reduced levels of thyrocyte-related cDNAs and cDNAs encoding extracellular matrix components, but increased levels of proteases involved in extracellular matrix degradation compared with GD. Lymphocytic infiltrates forming ectopic follicles replaced the thyroid tissue almost completely in HT. Thus, lymphocyte-related cDNA levels were higher in HT than in GD. The same was true for many chemokines and their receptors, which not only enable migration towards the thyroid but also maintain the lymphocytic infiltrate. HT also showed increased levels of cDNAs encoding molecules related to apoptosis than did GD. Surprisingly, the Th1- and Th2-specific cytokine profiles suggested for HT and GD respectively could not be confirmed. cDNAs encoding factors and receptors involved in angiogenesis were increased in GD compared with HT. CONCLUSIONS: Comparison of gene expression reflects the cellular differences between the two types of autoimmune thyroid disease in twins with identical genetic and similar environmental background.

Adolescent↗

PubMed2007

Gene expression profiles of primary colorectal carcinomas, liver metastases, and carcinomatoses.

BACKGROUND: Despite the fact that metastases are the leading cause of colorectal cancer deaths, little is known about the underlying molecular changes in these advanced disease stages. Few have studied the overall gene expression levels in metastases from colorectal carcinomas, and so far, none has investigated the peritoneal carcinomatoses by use of DNA microarrays. Therefore, the aim of the present study is to investigate and compare the gene expression patterns of primary carcinomas (n = 18), liver metastases (n = 4), and carcinomatoses (n = 4), relative to normal samples from the large bowel. RESULTS: Transcriptome profiles of colorectal cancer metastases independent of tumor site, as well as separate profiles associated with primary carcinomas, liver metastases, or peritoneal carcinomatoses, were assessed by use of Bayesian statistics. Gains of chromosome arm 5p are common in peritoneal carcinomatoses and several candidate genes (including PTGER4, SKP2, and ZNF622) mapping to this region were overexpressed in the tumors. Expression signatures stratified on TP53 mutation status were identified across all tumors regardless of stage. Furthermore, the gene expression levels for the in vivo tumors were compared with an in vitro model consisting of cell lines representing all three tumor stages established from one patient. CONCLUSION: By statistical analysis of gene expression data from primary colorectal carcinomas, liver metastases, and carcinomatoses, we are able to identify genetic patterns associated with the different stages of tumorigenesis.

Carcinoma↗

PubMed2005

Steroidogenesis in aldosterone-producing adenoma revisited by transcriptome analysis.

CONTEXT: Primary aldosteronism (PAL) is the most frequent cause of secondary arterial hypertension. In PAL, aldosterone production is chronic, excessive, and autonomous. OBJECTIVE: The objective of this study was to identify the angiotensin-II independent alterations of steroidogenesis responsible for PAL. DESIGN: Genomewide gene expression was compared in two tissues differentiated for aldosterone production, both nonstimulated by circulating angiotensin II and differing in their autonomy to produce aldosterone: aldosterone-producing adenoma (APA) and its adjacent dissected zona glomerulosa (ZG). SETTING: The setting of this study was the Comete Network. PATIENTS: Patients with APA were studied. INTERVENTION: Transcriptome comparison was made of one APA and its adjacent ZG by serial analysis of gene expression; validation by in situ hybridization was performed for 19 genes in 11 samples. OUTCOME: The study outcome was genes differentially expressed in APA and adjacent ZG. RESULTS: Activation of steroidogenesis in PAL is restricted to the overexpression of the enzymes producing aldosterone-specific steroids, aldosterone synthase and also 21-hydroxylase, suggesting that upstream precursor production is not limiting. Increased expression of high-density lipoprotein receptor, adrenodoxin and P450 oxidoreductase suggests that these systems provide cholesterol and electrons to the mitochondrial steroidogenic enzymes. As for acute stimulation of aldosterone production, an activation of calcium signaling is suggested by concordant overexpression of calcium-binding proteins or effectors. Calcium activation may result from an abnormal activity of G(q) protein-coupled receptors. This calcium activation may be the starting point of the other gene expression changes observed in APA. Finally, other differentially expressed genes include three genes encoding unidentified proteins. CONCLUSION: This work provides an original and integrated view of the mechanisms of aldosterone production in PAL.

Adenoma↗

PubMedDate not supplied

Clustering of molecular alterations in gastroesophageal carcinomas.

Gene expression levels are regulated at many levels. Integration of genome-wide analyses for the study of DNA and RNA provides a unique tool to detect genetic alterations in the cancer genome. In this study, we generated and integrated DNA amplification data from comparative genomic hybridization (CGH) and serial analyses of gene expression (SAGE) in order to obtain a molecular profile of gastroesophageal junction (GEJ) carcinomas. DNA amplifications mapped to specific chromosomal regions and were frequently seen at 1q, 4q, 5q, 6p, 7p, 8q, 17q, and 20q. Using SAGE, we obtained over 156,432 tags from GEJ adenocarcinomas and normal gastric mucosa. These tags were assigned to UniGene clusters. Chromosomal positions for overexpressed genes were obtained to produce a GEJ carcinoma transcriptome map. A total of 123 genes was significantly overexpressed (more than fivefold; P <.01) in one or more SAGE libraries. This gene overexpression map was integrated and compared to the chromosomal CGH ideogram. Several chromosomal arms that had frequent DNA amplifications showed frequent gene expression alterations such as chromosomes 1 (15 genes), 2 (9 genes), 6 (6 genes), 11 (6 genes), 12 (8 genes), and 17 (13 genes). Despite the relatively large DNA amplification regions, overexpressed genes frequently mapped and clustered to small chromosomal regions at early-replicating (Giemsa light) bands such as 1q21.3 (nine genes), 6p21.3 (five genes), and 17q21 (eight genes). These results provide a comprehensive tool to search for DNA amplifications and overexpressed genes in GEJ carcinoma. The observed phenomenon of the presence of large amplification areas, yet clustering of overexpressed genes to relatively small loci, may suggest a high organization of chromatin and cancer-related genes in the nucleus.

Adenocarcinoma↗