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PubMed2006

Gene expression profiling and outcome prediction in non-Hodgkin lymphoma.

Gene expression profiling with microarrays has provided new insights into the molecular biology of tumors can that underlie differences in responses to therapy and patient outcomes. In diffuse large B-cell lymphoma, gene expression profiling has revealed at least 2 diseases that are strikingly different in their response to chemotherapy and the inhibition of critical oncogenic pathways. In follicular lymphoma, gene expression profiling showed that the host immune response to tumors is an important determinant of outcome and can strongly predict survival at the time of diagnosis. The application of immunologic therapies that modify the host immune response could have a major effect on survival in patients with follicular lymphoma. Thus, the application of gene expression profiling in non-Hodgkin lymphoma provides important prognostic information at the time of diagnosis and can be translated into therapeutic options that improve patient outcomes.

Disease-Free Survival↗
PubMed2006

Unique sequence and expression profiles of rat galectins-5 and -9 as a result of species-specific gene divergence.

Presence of species-specific gene divergence in a protein family prompts to thoroughly study structural aspects and expression profiles of the products. We herein focus on two members of an adhesion/growth-regulatory group of endogenous lectins, i.e. galectins-5 and -9. After first ascertaining species specificity of occurrence of galectin-5, constituted by a short section of rat galectin-9's N-terminal part and its C-terminal carbohydrate recognition domain, by database mining, we next detected and defined sequence differences in the proximal promoter region between the two genes. The ensuing hypothesis for distinct expression profiles was tested first by RT-PCR and then by immunohistochemistry. For the latter purpose, we employed antibodies rigorously controlled for absence of cross-reactivity including assays with various other galectins and, if necessary, refined by chromatographic removal of bi- or oligospecific activities. Indeed, the galectins have non-identical expression profiles, qualitative differences, e.g. seen for galectin-5-positive bone marrow and erythrocytes or for hitherto unknown expression in cells of the theca folliculi and galectin-9-positive skin epidermis and esophageal epithelium. Lack of hepatocyte or renal cortex staining separates these two expression profiles in rat from localization of galectin-9 in mouse. Interspecies extrapolation in a case of a galectin involved in unique gene divergence may thus not be valid. The presented results on galectin-5 relative to galectin-9 intimate distinct functions especially in erythropoiesis and imply currently unknown mechanisms to compensate its absence from the galectin network in other mammals.

Amino Acid Sequence↗
PubMed2004

Gene expression profiles derived from single cells in human postmortem brain.

The study of postmortem human brain tissue remains the basis for the understanding of many CNS disorders and to verify data obtained in experimental studies. So far, however, gene expression profiling in cellular sub-populations derived from human postmortem brain was hampered by several technical drawbacks. Here, we describe a method that allows the generation of mRNA expression profiles from single neurons. Dopaminergic neurons from different midbrain areas including substantia nigra, central gray substance and ventral tegmental area were identified and isolated by immuno-laser capture microscopy (LCM). Expression profiles were generated from microdissected cells using a modified RNA fingerprinting protocol. Using this approach, we were able to generate specific RNA fingerprints at a high resolution from phenotype-specific single neurons. Polymorphic fragments were isolated from gels and differential gene expression was confirmed by real-time PCR using gene-specific primer pairs and hybridization probes. The method described here is easy to use and reliable for profiling gene expression at the single cell level in human postmortem brain. It could therefore be valuable to open new insights into the molecular pathogenesis of CNS disorders.

Aged↗
PubMed2006

Genetic expression profiles and chromosomal alterations in sporadic breast cancer in Mexican women.

Breast cancer is the second-leading cause of death among Mexican women >35 years of age. At the molecular level, changes in many genetic pathways have been reported to be associated with this neoplasm. To analyze these changes, we determined gene expression profiles and chromosomal structural alterations in tumors from Mexican women. We obtained mRNA to identify expression profiles with microarray technology, and DNA to determine amplifications and deletions, in 10 fresh sporadic breast tumor biopsies without treatment, as well as in 10 nonaffected breast tissues. Expression profiles were compared with genetic changes observed by comparative genomic hybridization (CGH). We compared the expression profiles against the structural alterations from the studied genes by means of microarrays; at least 17 of these genes correlated with DNA copy number alterations. We found that the following genes were overexpressed: LAMC1, PCTK3, CCNC, CCND1, FGF3, PCTK2, L1CAM, BGN, and PLXNB3 (alias PLEXR). Underexpressed genes included CASP9, FGR, TP73, HSPG2, and ERCC1; genes turned off included FRAP1, EPHA2 (previously ECK), IL12A, E2F5, TNFRSF10B, TNFRSF10A, EFNB3, and BCL2. The results will allow us, in the near future, to outline genes that could serve as diagnostic, prognostic, or target therapy markers for the Mexican population.

Adult↗
PubMed2005

Using genome-wide transcriptional profiling to elucidate small-molecule mechanism.

Transcriptional profiling with DNA microarrays can be used to measure the genome-wide transcriptional response to small molecules. Recent progress in the analysis of gene-expression data has relied on the generation of databases of profiles documenting the transcriptional effects of various compound treatments and genetic perturbations. A positive correlation between the transcriptional response induced by a novel small molecule and a database profile can provide insight into the molecule's mechanism. Transcriptional profiling can also be used to assess a small molecule's specificity for its target and to facilitate analysis of pathways downstream of the target.

Gene Expression Profiling↗
PubMed2006

Unique microRNA molecular profiles in lung cancer diagnosis and prognosis.

MicroRNA (miRNA) expression profiles for lung cancers were examined to investigate miRNA's involvement in lung carcinogenesis. miRNA microarray analysis identified statistical unique profiles, which could discriminate lung cancers from noncancerous lung tissues as well as molecular signatures that differ in tumor histology. miRNA expression profiles correlated with survival of lung adenocarcinomas, including those classified as disease stage I. High hsa-mir-155 and low hsa-let-7a-2 expression correlated with poor survival by univariate analysis as well as multivariate analysis for hsa-mir-155. The miRNA expression signature on outcome was confirmed by real-time RT-PCR analysis of precursor miRNAs and cross-validated with an independent set of adenocarcinomas. These results indicate that miRNA expression profiles are diagnostic and prognostic markers of lung cancer.

Adenocarcinoma↗
PubMed2026

Comprehensive quality profiling and comparative metabolic characterization of seven dominant fresh-eating Chinese olive (Canarium album Lour.) cultivars in Southern China.

Fresh-eating Chinese olive (Canarium album Lour.) is a subtropical fruit endemic to southern China with considerable commercial value, yet systematic quality characterization of dominant cultivars remains scarce. This study established a multi-dimensional quality dataset for seven dominant cultivars from Fujian and Guangdong provinces, integrating nutritional components, soluble sugars, organic acids, mineral elements, volatile profiles, and non-targeted metabolomics. Significant cultivar-specific differences were observed across all evaluated dimensions: "Lingfeng" exhibited a sugar-dominant low-acid profile, whereas "Sanleng" showed elevated phenolic constituents accumulation. Volatile profiling identified terpenoid-based candidate discriminatory biomarkers, and metabolomic analysis revealed phenylpropanoid biosynthesis, tryptophan metabolism, and starch and sucrose metabolism as the most variable pathways. Correlations between untargeted profiling and targeted absolute quantification validated untargeted result reliability and revealed their complementarity in nutritional evaluation. These findings provide baseline data for FECO germplasm evaluation and targeted industrial utilization.

China↗
PubMed2026

Flavoromics-based profiling reveals taste and aroma differences between infant formula and breast milk.

Flavor differences between infant formula (IF) and breast milk (BM) are considered a potential factor affecting infants' acceptance of IF. This experiment employs flavoromics combined with multivariate statistical analysis to systematically compare the flavor profiles of IF and BM. Electronic tongue analysis and amino acid correlation revealed that IF was characterised by pronounced saltiness and umami richness, whereas BM exhibited greater bitterness and astringency. Volatile compound profiling identified five key flavor constituents in IF, predominantly aldehydes such as hexanal and pentanal. In contrast, BM contained a broader array of compounds-including acids, aldehydes, and esters-resulting in a more complex flavor profile. Kyoto Encyclopedia of Genes and Genomes (KEGG)-based metabolic pathway annotation, together with fatty acid profiling, suggested that some volatiles may be associated with lipid oxidation, Maillard reaction and sulfur-containing amino acid degradation pathways, offering a theoretical basis for the targeted optimisation of IF flavor.

Humans↗
PubMed2006

Gene expression profile changes correlating with radioresistance in human cell lines.

PURPOSE: To identify gene expression profiles specific to radioresistance of human cells. METHODS AND MATERIALS: Global gene expression profiles of a total of 15 tumor and normal fibroblast cell lines were analyzed using DNA microarrays and statistical clustering methods. Initially, six of the cell lines were categorized into radioresistant (RG) or nonradioresistant (NRG) groups according to the radiation dose required to reduce their survival to 10% (D10). Genes for which expression was specific to each group at 1 or 3 h after irradiation were identified using statistical procedures including analysis of variance and a two-dimensional hierarchical clustering method. The remaining nine cell lines were subjected to the k-nearest neighbor pattern classification. RESULTS: The nine test cell lines were successfully classified by their D10 value using 46 and 44 genes for which transcription levels had significantly changed at 1 and 3 h after irradiation, respectively. Of these genes, 25 showed altered expression at both time points in the NRG or RG, but independently were unable to classify the test cell lines. CONCLUSIONS: Radioresistant cell lines analyzed in this study showed certain radiation-induced changes in gene expression profiles that are different from the profile changes of the more-sensitive cell lines.

Cell Line, Tumor↗
PubMed2005

Expression profiling of human fetal growth plate cartilage by EST sequencing.

The differentiation of mesenchymal stem cells into hypertrophic chondrocytes is an integral and multistep process important in pattern formation, endochondral ossification, and postnatal growth of the skeleton. In recent years, novel genes involved in these processes have been identified, but still only little is known about the large-scale gene expression profile during skeletal development. We initiated an expressed sequence tag (EST) project aiming at the identification of genes and pathways involved in this complex process. Candidate genes are expected to be of value for diagnosis and treatment of monogenic and multigenic heritable disorders of the skeleton. Here, we describe the sequences of 4,748 clones from a human growth plate cartilage cDNA library generated from 20 weeks prenatal-2 years postnatal specimens. In silico analysis of these sequences revealed 1,688 individual transcription units, corresponding to known (1,274) and to novel, yet uncharacterised potential genes (414). The tissue specificity of the library was reflected by its corresponding EST profile representing a total of approximately 10% proteins already shown to be involved in cartilage/bone development or homeostasis. The EST profile also reflects the developmental stage of the tissue with significant differences in the expression of matrix proteins compared to corresponding EST profiles from 8-12 and 12-20 week human fetal cartilage. Calculation of the relative frequency of transcripts in our cDNA library, as compared to their abundance in other EST datasets, revealed a set of approximately 200 genes, including 81 novel, yet uncharacterised genes, showing increased expression. These genes represent candidates for the large number of osteochondrodysplasias for which the causative gene defects have not yet been identified.

Expressed Sequence Tags↗
PubMed2005

Robustness of gene expression profiling in glioma specimen samplings and derived cell lines.

One of the most promising applications of microarrays is class distinction through gene expression profiling as a diagnostic tool. However, as there is apparent spatial heterogeneity in the morphology of cancer cells within a tumor, it is unclear if tumor sampling can be applied and yield consistent signals. In this report, we examined six brain tumors, four glioblastoma, and two oligodendroglioma biopsies. The six brain tumor tissues from two distinct different classes were dissected in four distinct areas and gene expression was profiled using microarrays. We used hierarchical clustering to compare the variability of gene expression profiles between spatially distinct biopsies of the same tumor as compared to the variability between tumors of the same histologic group. We conclude that, in general, repeat spatially distinct samples are not needed for microarray experiments and the gene expression signatures are robust across the tumor. Predominantly, variation was much greater between samples from different patients than from the multiple samplings of given tumor. Further, we compared biopsy expression profiles to the cell lines derived from those tissues. In general, the tumor cell lines vary greatly from the parental tissues and cluster more strongly with each other than the parental tissue. We select and examine the set of genes altered in expression to allow adaptation to cell culture.

Brain Neoplasms↗
PubMed2005

Comparison of the expression profiles induced by genotoxic and nongenotoxic carcinogens in rat liver.

Application of recently developed gene expression techniques using microarrays in toxicological studies (toxicogenomics) facilitate the interpretation of a toxic compound's mode of action and may also allow the prediction of selected toxic effects based on gene expression changes. In order to test this hypothesis, we investigated whether carcinogens at doses known to induce liver tumors in the 2-year rat bioassay deregulate characteristic sets of genes in a short term in vivo study and whether these deregulated genes represent defined biological pathways. Male Wistar rats were dosed with the four nongenotoxic hepatocarcinogens methapyrilene (MPy, 60 mg/kg/day), diethylstilbestrol (DES, 10 mg/kg/day), Wy-14643 (Wy, 60 mg/kg/day), and piperonylbutoxide (PBO, 1200 mg/kg/day). After 1, 3, 7, and 14 days, the livers were taken for histopathological evaluation and for analysis of the gene expression profiles on Affymetrix RG_U34A arrays. The expression profile of the four nongenotoxic carcinogens were compared to the profiles of the four genotoxic carcinogens 2-nitrofluorene (2-NF), dimethylnitrosamine (DMN), 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanone (NNK), and aflatoxin B1 (AB1) from a similar study reported previously. By using statistical and clustering tools characteristically deregulated genes were extracted and functionally classified. Distinct cellular pathways were affected by the nongenotoxic carcinogens compared to the genotoxic carcinogens which at least partly correlated with the two-stage model of carcinogenesis. Characteristic to genotoxic carcinogens were a DNA damage response and the activation of proliferative and survival signaling. Nongenotoxic carcinogens showed responses to oxidative DNA or protein damage, as well as cell cycle progression and signs of regeneration. Many of the gene alterations found with the nongenotoxic carcinogens imply compound-specific mechanisms. Although neither a single gene nor a single pathway will be sufficient to discriminate the two classes of carcinogens, it became evident that combinations of pathway-associated gene expression profiles may be used to predict a genotoxic or nongenotoxic carcinogenic potential of a compound in short-term studies.

Animals↗
PubMed2025

Relationships between childhood adversity, resilience, and inflammatory profiles in Taiwanese young adults.

Psychological resilience is the capacity to withstand and bounce back from stressors, trauma, and negative life events, such as childhood adverse experiences (ACEs). Yet, little is known about the biological mechanisms by which resilience mitigates the psychological effects of ACEs. We aimed to identify differentially expressed proteins (DEPs) that reflect the combined effects of early life stress and psychological resilience by using an inflammatory proteomics panel. Three different resilience and ACE questionnaires were employed to classify participants into four groups according to high vs. low levels of resilience and ACEs. Forty-five age-matched and sex-matched participants were selected for proteomics profiling with Olink's 92-protein inflammatory panel. Of these, only 32 passed quality control filtering for analysis. Results showed that CD274 emerged as a protein hub in resilient profiles, while CXCL5 was central to ACE-related profiles. Network co-expression analysis revealed group-specific protein rewiring, suggesting dysregulated inflammation in individuals with high ACE. In contrast, high-resilience profiles showed stronger immune checkpoint co-expression, indicating more effective inflammatory resolution as a key trait of resilience. These findings suggest that resilience maintains an adaptive immune network architecture that may be leveraged to promote resilience after early adversity.

Humans↗
PubMed2004

Gene expression profiles post Roux-en-Y gastric bypass.

BACKGROUND: The hypothalamus is involved in regulation of food intake (FI) and fat deposition. Molecular mechanisms of weight loss after Roux-en-Y gastric bypass (RYGB) were studied by correlating changes in gene expression profiles in hypothalamic arcuate nucleus (ARC) and subcutaneous abdominal fat (SAF). METHOD: Diet-induced obese rats were divided into RYGB, sham-operated (SO-Obese), and sham-operated pair-fed (PF) groups. A non-obese group on a regular chow diet served as control. Body weight (BW) and FI were measured. Rats were killed 10 days after the operation. Plasma was analyzed for biochemical indices, ARC and SAF were analyzed for gene expression profiles. Body SAF was also weighed. Data were analyzed by ANOVA and factor analysis. RESULTS: BW and FI decreased in RYGB versus SO-Obese, as reflected by decreased SAF (53%). Genes similarly expressed in ARC and SAF after RYGB were limited to several genes that predominantly related to metabolic pathways of carbohydrate, fat, neuropeptide, and cytokines. These expression profiles were similar to those seen in chow control and to those seen in a comparison of PF and SO-Obese. CONCLUSIONS: RYGB-induced weight loss is associated with changes in gene profile expressions that could influence metabolic changes, contributing to weight loss.

Anastomosis, Roux-en-Y↗
PubMed2005

Molecular analysis of minimally invasive follicular carcinomas by gene profiling.

BACKGROUND: While the majority of minimally invasive follicular thyroid carcinoma (MIFTC) behave like follicular adenomas, some recur or metastasize. These studies were conducted to determine if molecular profiling can enhance our understanding of MIFTC and to perhaps offer a better classification schema. METHODS: Microarray analysis was performed on 27 follicular neoplasms. Thirteen follicular adenomas (FAs) were compared with 7 widely invasive follicular thyroid carcinomas (WIFTCs) to generate a list of differentially expressed genes. Next, 7 MIFTCs were analyzed along with the other samples in a cluster analysis. The MIFTCs were then compared directly against both the adenoma and WIFTC groups to investigate genetic relatedness. RESULTS: FAs and WIFTCs have distinct genetic profiles, with 401 differentially expressed genes. The 7 MIFTCs were added to the analysis. Six of 7 of the MIFTCs were grouped with the adenomas, 4 of which created their own subgroup. When analyzed directly, MIFTCs had 223 differently expressed genes, compared with FAs, and 365, compared with WIFTCs. CONCLUSIONS: Molecular profiling illustrates that the majority of MIFTCs comprise a subclass of follicular neoplasms, and, while most MIFTCs are genetically similar to adenomas, our patient data suggest that these tumors may deserve greater suspicion of malignant potential. Gene profiling can provide insight into the molecular pathogenesis of MIFTC.

Adenocarcinoma, Follicular↗
PubMed2006

Gene expression profiling in liver and testis of rats to characterize the toxicity of triazole fungicides.

Four triazole fungicides were studied using toxicogenomic techniques to identify potential mechanisms of action. Adult male Sprague-Dawley rats were dosed for 14 days by gavage with fluconazole, myclobutanil, propiconazole, or triadimefon. Following exposure, serum was collected for hormone measurements, and liver and testes were collected for histology, enzyme biochemistry, or gene expression profiling. Body and testis weights were unaffected, but liver weights were significantly increased by all four triazoles, and hepatocytes exhibited centrilobular hypertrophy. Myclobutanil exposure increased serum testosterone and decreased sperm motility, but no treatment-related testis histopathology was observed. We hypothesized that gene expression profiles would identify potential mechanisms of toxicity and used DNA microarrays and quantitative real-time PCR (qPCR) to generate profiles. Triazole fungicides are designed to inhibit fungal cytochrome P450 (CYP) 51 enzyme but can also modulate the expression and function of mammalian CYP genes and enzymes. Triazoles affected the expression of numerous CYP genes in rat liver and testis, including multiple Cyp2c and Cyp3a isoforms as well as other xenobiotic metabolizing enzyme (XME) and transporter genes. For some genes, such as Ces2 and Udpgtr2, all four triazoles had similar effects on expression, suggesting possible common mechanisms of action. Many of these CYP, XME and transporter genes are regulated by xeno-sensing nuclear receptors, and hierarchical clustering of CAR/PXR-regulated genes demonstrated the similarities of toxicogenomic responses in liver between all four triazoles and in testis between myclobutanil and triadimefon. Triazoles also affected expression of multiple genes involved in steroid hormone metabolism in the two tissues. Thus, gene expression profiles helped identify possible toxicological mechanisms of the triazole fungicides.

Animals↗
PubMed2004

Global expression profiling of strains harbouring null mutations reveals that the five rpf-like genes of Mycobacterium tuberculosis show functional redundancy.

SETTING: Aged, dormant cultures of Mycobacterium tuberculosis can be resuscitated by a secreted, proteinaceous growth factor from Micrococcus luteus, known as resuscitation-promoting factor (Rpf). M. tuberculosis contains five rpf-like genes, rpfA (Rv0867c), rpfB (Rv1009), rpfC (Rv1884c), rpfD (Rv2389c) and rpfE (Rv2450c), that bear significant similarity to Mi. luteus rpf, suggesting that these too may play a role in growth and/or reactivation from a quiescent state. OBJECTIVE AND DESIGN: Unmarked deletion mutants of each of the five rpf-like genes of M. tuberculosis H37Rv were constructed and their phenotypes and global gene expression profiles were assessed. RESULTS AND CONCLUSIONS: Deletion of any one of the rpf-like genes did not affect growth or survival of M. tuberculosis in liquid culture, but some alterations in colony-forming ability and colonial morphology were observed. Global gene expression profiling suggested that loss of rpfC affected the expression of the largest number of genes and there was a significant overlap in the differential gene expression profile of the rpfC mutant with those of the rpfB, rpfD and rpfE mutants. The expression profile of the rpfA mutant was notably less similar, but inverse associations with genes affected in the other mutants were observed. These results, together with those obtained by real-time, quantitative RT-PCR, suggest that the rpf-like genes serve wholly or partially overlapping functions in M. tuberculosis.

Bacterial Proteins↗
PubMed2004

Gene expression profiling of tamoxifen-associated uterine cancers: evidence for two molecular classes of endometrial carcinoma.

OBJECTIVE: Endometrial cancers associated with tamoxifen exposure potentially represent a unique resource for investigating the molecular mechanisms of estrogen-induced tumorigenesis. The purpose of this study was to test the hypothesis that tamoxifen-associated endometrial carcinomas have a distinct gene expression profile compared to matched cases not associated with this exposure. METHODS: Microarray-based expression profiling was performed on a series of tamoxifen-associated (N = 10) and matched sporadic cases (N = 29) of endometrial carcinoma. RESULTS: Supervised class comparison revealed no statistically significant difference between the two groups (P = 0.48). However, unsupervised hierarchical clustering of the entire sample of tumors revealed two groups with extremely diverse molecular profiles that were independent of tamoxifen exposure. Of recognized clinicopathological factors, histologic grade correlated best with these two molecular classes. CONCLUSIONS: These data suggest that the molecular profile of tamoxifen-associated endometrial cancers is not different from that of endometrial carcinomas generally, and further, that there exist two highly distinct molecular subtypes of endometrial carcinoma.

Aged↗