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Gene expression profiling of low-grade diffuse astrocytomas by cDNA arrays.

Diffuse astrocytoma WHO grade II is a well-differentiated, slowly growing tumor that has an inherent tendency to progress to anaplastic astrocytoma (WHO grade III) and, eventually, to glioblastoma (WHO grade IV). Little is known about its molecular basis, except for p53 mutations that are found in >60% of cases. In a search for additional genetic alterations, we carried out gene expression profiling of 11 diffuse astrocytomas using cDNA expression arrays. Expression of six genes (TIMP3, c-myc, EGFR, DR-nm23, nm23-H4, and GDNPF) was detected in 64-100% of diffuse astrocytomas, but not in nontumorous brain tissue. Seven genes (AAD14, SPARC, LRP, PDGFR-alpha, 60S ribosomal protein L5, PTN, and hBAP) were found to be up-regulated more than 2-fold in 20-60% of cases, whereas 11 genes (IFI 9-27, protein kinase CLK, TDGF1, BIN1, GAB1, TYRO3, LDH-A, adducin 3, GUK1, CDC10, and KRT8) were down-regulated to less than 50% of normal levels in 64-100% of cases. Semiquantitative conventional reverse transcription-PCR was performed for 11 genes, 9 of which showed an expression profile similar to that obtained with cDNA expression arrays. Immunohistochemical staining for SPARC showed cytoplasmic immunoreactivity of neoplastic cells in all diffuse astrocytomas analyzed. These results indicate significant changes in gene expression in diffuse astrocytomas, but it remains to be shown which of these are causally related to the transformation of glial cells.

Adult↗

Gene expression profiles of B-lineage adult acute lymphocytic leukemia reveal genetic patterns that identify lineage derivation and distinct mechanisms of transformation.

PURPOSE: To characterize gene expression signatures in acute lymphocytic leukemia (ALL) cells associated with known genotypic abnormalities in adult patients. EXPERIMENTAL DESIGN: Gene expression profiles from 128 adult patients with newly diagnosed ALL were characterized using high-density oligonucleotide microarrays. All patients were enrolled in the Italian GIMEMA multicenter clinical trial 0496 and samples had >90% leukemic cells. Uniform phenotypic, cytogenetic, and molecular data were also available for all cases. RESULTS: T-lineage ALL was characterized by a homogeneous gene expression pattern, whereas several subgroups of B-lineage ALL were evident. Within B-lineage ALL, distinct signatures were associated with ALL1/AF4 and E2A/PBX1 gene rearrangements. Expression profiles associated with ALL1/AF4 and E2A/PBX1 are similar in adults and children. BCR/ABL+ gene expression pattern was more heterogeneous and was most similar to ALL without known molecular rearrangements. We also identified a set of 83 genes that were highly expressed in leukemia blasts from patients without known molecular abnormalities who subsequently relapsed following therapy. Supervised analysis of kinase genes revealed a high-level FLT3 expression in a subset of cases without molecular rearrangements. Two other kinases (PRKCB1 and DDR1) were highly expressed in cases without molecular rearrangements, as well as in BCR/ABL-positive ALL. CONCLUSIONS: Genomic signatures are associated with phenotypically and molecularly well defined subgroups of adult ALL. Genomic profiling also identifies genes associated with poor outcome in cases without molecular aberrations and specific genes that may be new therapeutic targets in adult ALL.

Adolescent↗

Optimization of a microarray based approach for deriving representative gene expression profiles from human oocytes.

The purpose of the present study was to optimize a protocol for deriving reproducible and representative gene expression profiles from very rare research samples of human oocytes using microarrays. Immature oocytes produced as a result of administration of gonadotrophins for the treatment of infertility were donated to research. Linear amplification (L-amp) and exponential amplification (E-amp) were both capable of generating sufficient product for hybridization to the microarrays even from the low amount of template mRNA present in a single human oocyte. Slightly higher numbers of transcripts were detected by microarray following linear rather than E-amp but both techniques generated a product with reliably reproducible sensitivity and fidelity providing oocytes were pooled in minimum numbers of three. The majority of the variance associated with amplification and hybridization to arrays comes from the molecular processing. Slightly greater additional variance is associated with biological differences in immature oocytes from the same or different donors. The findings suggest that representative gene expression profiles can be generated from human oocytes for comparative purposes following L-amp and hybridization to microarray. However, oocytes must be pooled for the starting template for each array and sufficient independent microarray experiments performed to minimize the variance associated with molecular processing.

Female↗

Comparison of effects of As2O3 and As4O6 on cell growth inhibition and gene expression profiles by cDNA microarray analysis in SiHa cells.

An arsenical compound, As2O3 has been reported to be effective for treating acute leukemia and induce apoptosis in many different tumor cell types. In this study we designed a novel arsenical compound, As4O6, and compared its ability to induce cell growth inhibition as well as gene expression profiles along with As2O3 in HPV16 infected SiHa cervical cancer cells. Both As2O3 and As4O6 induced apoptosis in SiHa cells, as determined by a DNA ladder formation. As4O6 was more effective in suppressing the growth of SiHa cells in vitro, as compared to As2O3. To further compare gene expression profiles between these two drugs, we used a 384 cDNA microarray system. The gene expression profiles were also classified into the Gene Ontology (GO) to investigate apoptosis-related cellular processes. In the case of As2O3, 41 genes were up- or down-regulated at least 2-fold, as compared to non-treatment, whereas, 65 genes were up- or down-regulated by As4O6 treatment. In particular, 27 genes were commonly regulated by both arsenic compounds. The GO analysis also indicated that down-regulation of cell-regulatory functions, such as cell cycle, protein kinase activity and DNA repair, induces an anti-tumor effect. Taken together, these data support that As4O6 could be more effective than As2O3 in inhibiting the growth of HPV16 infected cervical cancer cells. This appears to be mediated through a unique but overlapping regulatory mechanism(s), suggesting that the regulated genes and cellular processes could be used for a new potential drug approach for treating cervical cancer in clinical settings.

Antineoplastic Agents↗

Lipopolysaccharide-inducible gene expression profile in human monocytes.

Monocytes/macrophages play a key role in host defense by phagocytosing invaded pathogens, presenting antigens to immune cells and producing numerous inflammatory mediators. Although the expression of many proteins and genes has been described to be up-regulated in activated human monocytes, a complete picture of the pathophysiological function of activated human monocytes has not yet been drawn. In this study the serial analysis of gene expression (SAGE) procedure was applied to lipopolysaccharide (LPS)-stimulated human monocytes. A total of 35,874 tags corresponding to more than 12,000 different transcripts was sequenced. In addition, the Long SAGE procedure was conducted in LPS-stimulated monocytes to increase the accuracy of corresponding gene identification. Comparison of the gene expression profile with that of resting monocytes revealed the whole LPS-inducible gene expression profile. The functional classifications of LPS-inducible genes (> or = 8-fold increase compared with resting monocytes) in monocytes showed that 25% of inducible genes were identified to encode cytokines and chemokines, followed by proteins related to metabolism (11%), cell surface antigens (9%), nuclear proteins (8%), proteases (6%), proteins related to extracellular transport (4%) and intracellular transducers (4%). Moreover, 14% of LPS-inducible genes still encode proteins with unknown function. This study represents the first global analysis of LPS-inducible genes in human monocytes and provides tremendous novel information for the function of LPS-activated monocytes and targets for diagnosing, monitoring and treating sepsis and various human infectious and inflammatory diseases.

Gene Expression Profiling↗

Angiotensin II type 2 receptor-mediated gene expression profiling in human coronary artery endothelial cells.

Despite intensive investigation, the molecular mechanism by which the angiotensin II type 2 (AT2) receptor exerts its cellular and physiological actions remains elusive. In the present study, we have used microarray expression analysis to identify genes whose expression was regulated by this receptor and to determine its cellular consequences. Lentiviral vector was used to express the AT2 receptor in human coronary artery endothelial cells (HCAECs), followed by analysis of expression profiles. We observed approximately 5224 genes regulated in an AT2 receptor ligand-independent manner in HCAECs expressing the AT2 receptor. In addition, 1235 genes were differentially expressed in response to the AT2 receptor-specific ligand, CGP42112A. Validity of the expression profiles was demonstrated by real-time reverse-transcriptase polymerase chain reaction quantitation of 5 genes. Because some of these genes could be linked to the regulation of extracellular matrix association, we studied the effect of the AT2 receptor on cell migration. Expression of the AT2 receptor resulted in a 2-fold inhibition of HCAEC migration. Taken together, these observations demonstrate that the AT2 receptor regulates expression of genes relevant to cell migration, protein processing, intracellular signaling, and DNA repair in both ligand-dependent and ligand-independent manners.

Cell Movement↗

Gene expression profiling of peripheral blood mononuclear cells from cattle infected with Mycobacterium paratuberculosis.

A bovine-specific cDNA microarray system containing 721 unique leukocyte expressed sequence tags (ESTs) and amplicons representing known genes was used to compare gene expression profiles of peripheral blood mononuclear cells (PBMCs) from clinical and subclinical Johne's disease-positive Holstein cows (n = 2 per group). Stimulation of PBMCs from clinically infected cows with Mycobacterium paratuberculosis tended to decrease expression of 83 genes (fold change, >1.5). Of these 83 genes, 16 displayed significant down regulation across both clinical cows (P < 0.1), including genes encoding microspherule protein 1, fibroblast growth factor, and the Lyn B protein kinase. Only eight genes from PBMCs of clinically infected cows exhibited a modest up regulation following stimulation with M. paratuberculosis, including those encoding bovine CD40L, gamma interferon, interleukin-10 (IL-10), and tissue inhibitor of matrix metalloproteinases (TIMP) 4. In contrast, stimulation of PBMCs from subclinically infected cows with M. paratuberculosis tended to up regulate expression of 71 genes representing 68 unique transcripts. Of these, 11 genes showed significant up regulation (fold change, >1.5; P < 0.1) across both animals, including those encoding bovine CD40L, several matrix metalloproteinases, and SPARC (secreted protein, acidic and rich in cystine). Repression of gene expression was also observed in PBMCs from the subclinical cows, with 16 genes being significantly down regulated (fold change, >1.5; P < 0.1) across both animals, including those encoding the bovine orthologs of cytochrome oxidase subunit III, IL-1 receptor type I, and fibrinogen-like 2 protein. Only one clone, representing an unknown bovine EST, was similarly down regulated in PBMCs from both the clinical and subclinical cows. Thus, the most prominent change induced by exposure of PBMCs from clinical cows to M. paratuberculosis in vitro tended to be repression of gene expression, while changes in similarly treated PBMCs from subclinical cows was balanced between gene activation and repression. Comparison of gene expression profiles between PBMCs from clinical and uninfected (control) cows stimulated with the general mitogen concanavalin A were highly similar (overall r = 0.84), suggesting that M. paratuberculosis-induced gene repression in clinically infected cow PBMCs was not due to a general failure of the immune response in these animals.

Animals↗

Differences in gene expression profile among SH-SY5Y neuroblastoma subclones with different neurite outgrowth responses to nerve growth factor.

Nerve growth factor (NGF) plays a key role in the differentiation of neurons. In this study, we established three NGF-induced neurite-positive (NIN+) subclones that showed high responsiveness to NGF-induced neurite outgrowth and three NGF-induced neurite-negative (NIN-) subclones that abolished NGF-induced neurite outgrowth from parental SH-SY5Y cells, and analyzed differences in the NGF signaling cascade. The NIN+ subclones showed enhanced responsiveness to FK506-mediated neurite outgrowth as well. To clarify the mechanism behind the high frequency of NGF-induced neurite outgrowth, we investigated differences in NGF signaling cascade among subclones. Expression levels of the NGF receptor TrkA, and NGF-induced increases in mRNAs for the immediate-early genes (IEGs) c-fos and NGF inducible (NGFI) genes NGFI-A, NGFI-B and NGFI-C, were identical among subclones. Microarray analysis revealed that the NIN+ cell line showed a very different gene expression profile to the NIN- cell line, particularly in terms of axonal vesicle-related genes and growth cone guidance-related genes. Thus, the difference in NGF signaling cascade between the NIN+ and NIN- cell lines was demonstrated by the difference in gene expression profile. These differentially expressed genes might play a key role in neurite outgrowth of SH-SY5Y cells in a region downstream from the site of induction of IEGs, or in a novel NGF signaling cascade.

Cell Line, Tumor↗

PROSPECT improves cis-acting regulatory element prediction by integrating expression profile data with consensus pattern searches.

Consensus pattern and matrix-based searches designed to predict cis-acting transcriptional regulatory sequences have historically been subject to large numbers of false positives. We sought to decrease false positives by incorporating expression profile data into a consensus pattern-based search method. We have systematically analyzed the expression phenotypes of over 6000 yeast genes, across 121 expression profile experiments, and correlated them with the distribution of 14 known regulatory elements over sequences upstream of the genes. Our method is based on a metric we term probabilistic element assessment (PEA), which is a ranking of potential sites based on sequence similarity in the upstream regions of genes with similar expression phenotypes. For eight of the 14 known elements that we examined, our method had a much higher selectivity than a naïve consensus pattern search. Based on our analysis, we have developed a web-based tool called PROSPECT, which allows consensus pattern-based searching of gene clusters obtained from microarray data.

5' Untranslated Regions↗

Characterization of the gene expression profile of neuroblastoma cell line IMR-5 using serial analysis of gene expression.

The serial analysis of gene expression (SAGE) technique was used to generate a database of the most abundant transcripts of the MYCN-amplified neuroblastoma cell line IMR-5. A total of 8568 tags were sequenced and shown to represent 4034 unique tags, each of which corresponds to an individual transcript. Expression levels of genes are reflected by the frequency of occurrence of the respective tags. To validate fidelity of SAGE data, relative abundances of seven transcripts were evaluated by semiquantitative reverse transcriptase-polymerase chain reaction. Transcripts that were detected nine times or more (>0.1% of the total tag population) accounted for 36% of the total messenger RNA mass but only 3% of the total number of individual transcripts. A strong preponderance of genes involved in protein synthesis, in particular those encoding for ribosomal proteins, were observed among these high-abundance transcripts. Tags corresponding to the amplified gene DDX1 were conspicuously overrepresented in comparison to the other amplified genes MYCN, neuroblastoma amplified gene and MEIS1, which suggests an additional mechanism apart from genomic amplification contributing to the strong upregulation of this gene. This study provides a comprehensive gene expression profile of neuroblastoma cell line IMR-5 and may be used as a reference database for identification of candidate genes that are involved in etiology and pathogenesis of neuroblastoma.

Databases as Topic↗

Gene expression profiling identifies markers of ampullary adenocarcinoma.

Ampullary adenocarcinoma is an aggressive cancer with a poor prognosis. Without surgical resection, ampullary adenocarcinomas can be difficult to distinguish from ampullary adenomas. The aim of this study was to identify differentially expressed genes in ampullary adenocarcinoma in order to identify candidate markers of the disease. The Affymetrix Human Genome U133 GeneChip set (HG-U133A and HG-U133B) was used to obtain gene expression profiles of 5 ampullary adenocarcinomas and 10 normal duodenal samples. Using fold change analysis we identified 235 fragments expressed at least fivefold higher in ampullary cancers than in normal duodenum. The expression profiles of eight candidate overexpressed genes (osteopontin, mesothelin, tissue inhibitor of metalloproteinases 1, mucin-1, mucin-5, fascin, heat shock protein 47, fibronectin 1) were confirmed by immunohistochemistry or in situ hybridization on tissue microarrays (TMA) containing 54 ampullary adenocarcinomas. One of these genes, osteopontin, was expressed 27-fold higher levels in ampullary adenocarcinomas compared to normal duodenum by genechip analysis. We therefore determined serum osteopontin levels in patients with ampullary neoplasms, patients with other periampullary diseases and in normal controls. Mean preoperative serum osteopontin levels as measured by competitive ELISA were 906 +/- 268 ng/ml in patients with ampullary cancer, 867 +/- 160 ng/ml in patients with an ampullary adenoma, 327.1 +/- 195.6 ng/ml in patients with nonmalignant periampullary diseases and 204 +/- 65 ng/ml in age-matched healthy controls (p < 0.001). Measurement of markers of ampullary cancer such as osteopontin may aid in the early detection and differential diagnosis of patients with periampullary lesions.

Adenocarcinoma↗

Expression profiles during honeybee caste determination.

BACKGROUND: Depending on their larval environment, female honeybees develop into either queens or workers. As in other polyphenisms, this developmental switch depends not on genomic differences between queens and workers but on the differential expression of entire suites of genes involved with larval fate. As such, this and other polyphenic systems can provide a novel tool for understanding how genomes and environmental conditions interact to produce different developmental trajectories. Here we use gene-expression profiles during honeybee caste determination to present the first genomic view of polyphenic development. RESULTS: Larvae raised as queens or workers differed greatly in their gene-expression patterns. Workers remained more faithful than queens to the expression profiles of younger, bipotential, larvae. Queens appeared to both downregulate many of the genes expressed by bipotential larvae and turn on a distinct set of caste-related genes. Queens overexpressed several metabolic enzymes, workers showed increased expression of a member of the cytochrome P450 family, hexameric storage proteins and dihydrodiol dehydrogenase, and young larvae overexpressed two putative heat-shock proteins (70 and 90 kDa), and several proteins related to RNA processing and translation. CONCLUSIONS: Large differences in gene expression between queens and workers indicate that social insect castes have faced strong directional selection pressures. Overexpression of metabolic enzymes by queen-destined larvae appears to reflect the enhanced growth rate of queens during late larval development. Many of the differently expressed genes we identified have been tied to metabolic rates and cellular responses to hormones, a result consistent with known physiological differences between queen and worker larvae.

Animals↗

Correlation maps allow neuronal electrical properties to be predicted from single-cell gene expression profiles in rat neocortex.

The computational power of the neocortex arises from interactions of multiple neurons, which display a wide range of electrical properties. The gene expression profiles underlying this phenotypic diversity are unknown. To explore this relationship, we combined whole-cell electrical recordings with single-cell multiplex RT-PCR of rat (p13-16) neocortical neurons to obtain cDNA libraries of 26 ion channels (including voltage activated potassium channels, Kv1.1/2/4/6, Kvbeta1/2, Kv2.1/2, Kv3.1/2/3/4, Kv4.2/3; sodium/potassium permeable hyperpolarization activated channels, HCN1/2/3/4; the calcium activated potassium channel, SK2; voltage activated calcium channels, Caalpha1A/B/G/I, Cabeta1/3/4), three calcium binding proteins (calbindin, parvalbumin and calretinin) and GAPDH. We found a previously unreported clustering of ion channel genes around the three calcium-binding proteins. We further determined that cells similar in their expression patterns were also similar in their electrical properties. Subsequent regression modeling with statistical resampling yielded a set of coefficients that reliably predicted electrical properties from the expression profile of individual neurons. This is the first report of a consistent relationship between the co-expression of a large profile of ion channel and calcium binding protein genes and the electrical phenotype of individual neocortical neurons.

Action Potentials↗

[Difference in gene expression profile of human polymeric immunoglobulin receptor-transfected mouse nasopharyngeal epithelial cells before and after EBV infection].

OBJECTIVE: To study the gene expression profile of human polymeric immunoglobulin receptor gene (hpIgR)-transfected mouse nasopharyngeal epithelial cells transformed with n, n'-dinitrosoperazine (TMNE) before and after EBV infection using cDNA array and investigate the role of Epstein-Barr virus (EBV) infection in the tumorigenesis of nasopharyngeal carcinoma (NPC). METHODS: The total RNAs of hpIgR-transfected TMNE cells before and after EBV infection were extracted, reversely transcribed, and labeled with alpha -(32)P-dATP. The cDNA probes were hybridized to the Atlas mouse cancer array 1.2, and the signals analyzed by AtlasImage software. RESULTS: Twenty-five genes differentially expressed in cells before and after EBV infection, including 23 up-regulated genes and 2 down-regulated genes. CONCLUSIONS: The gene expression profile of hpIgR-transfected TMNE cells may change after EBV infection, suggesting that these genes are probably involved in the tumorigenesis and progression of NPC.

Animals↗

[Gene expression profile in K562 cells treated by interferon alpha].

To study the gene expression profile in K562 cells treated by IFN-alpha, so as to provide some information about the potential mechanism of IFN-alpha curing CML, the changes of gene expression were examined with the DNA array in K562 cells before and after treatment with IFN-alpha. The results showed that no gene expression difference more than 2.5 times in K562 cells was found on the first day after treatment with IFN-alpha (200 U/ml), then the genes significant expression difference increased step by step, and reached the peak on the forth day. In all examined genes, 97 genes significant expression difference were detected, 86.60% (84/97) gene of interest out of those gene were up-regulated, 13.40% (13/97) were down-regulated. In these 97 genes with significant expression difference, cell regulator protein genes accounted to 23.71% (23/97), surface receptor genes 14.43% (14/97), oncogenes and tumor suppressors 11.34% (11/97), extracellular communication proteins 9.28% (9/97), cell adhesion molecular genes 8.25% (8/97) and the other genes accounted to 32.99% (32/97). JAK1 was up-regulated to 3.78 times, JAK2 to 15.43, STAT1 and STAT2 were up-regulated to 11.98 and 8.11 times respectively, and these genes are components of JAK-STAT pathway. The number of different genes began to decrease on the fifth day. There were still 9 genes that had expression difference more than 3 times on the twenty-first day. It is concluded that when concentration of IFN-alpha was 200 U/ml, the forth day should be considered as the best time to examine change of gene expression in K562 cells treated by IFN-alpha. IFN-alpha realizes its biological functions through the JAK-STAT pathways and it may be one of the mechanisms for curing CML with IFN-alpha.

Gene Expression Profiling↗

Global gene expression profiling in Barrett's esophagus and esophageal cancer: a comparative analysis using cDNA microarrays.

In order to identify and contrast global gene expression profiles defining the premalignant syndrome, Barrett's esophagus, as well as frank esophageal cancer, we utilized cDNA microarray technology in conjunction with bioinformatics tools. We hybridized microarrays, each containing 8000 cDNA clones, to RNAs extracted from 13 esophageal surgical or endoscopic biopsy specimens (seven Barrett's metaplasias and six esophageal carcinomas). Hierarchical cluster analysis was performed on these results and displayed using a color-coded graphic representation (Treeview). The esophageal samples clustered naturally into two principal groups, each possessing unique global gene expression profiles. After retrieving histologic reports for these tissues, we found that one main cluster contained all seven Barrett's samples, while the remaining principal cluster comprised the six esophageal cancers. The cancers also clustered according to histopathological subtype. Thus, squamous cell carcinomas (SCCAs) constituted one group, adenocarcinomas (ADCAs) clustered separately, and one signet-ring carcinoma was in its own cluster, distinct from the ADCA cluster. We conclude that cDNA microarrays and bioinformatics show promise in the classification of esophageal malignant and premalignant diseases, and that these methods can be applied to small biopsy samples.

Barrett Esophagus↗

Gene expression profiling of Ca2+-atpase inhibitor DTBHQ and antigen-stimulated RBL-2H3 mast cells.

OBJECTIVE AND DESIGN: Ca2+ signaling is critical for mast cell activation by antigen stimulation, and we previously described that the signaling can be mimicked by Ca2+-ATPase inhibitors. We therefore investigated the effect of the Ca2+-ATPase inhibitor and antigen stimulation on the gene expression profiles of RBL-2H3 mast cells. MATERIAL: A Ca2+-ATPase inhibitor, 2,5-di(tert-butyl)-1,4-hydroquinone (DTBHQ), an antigen (dinitrophenylated BSA), a high-density oligonucleotide microarray (Affymetrix GeneChip) technique, and a well-characterized rat mast cell line RBL-2H3 were used. TREATMENT: RBL-2H3 cells were activated for 3 h with 10 microM DTBHQ, which increases cytosolic Ca2+ concentration, or 10 microg/ml antigen, which cross-links IgE receptors, and the mRNA expression profiles (8,799 genes) were analyzed with GeneChip arrays (n = 3). METHODS: Expression levels were measured by GeneChip, and the differences were tested by Welch's t-test and P-values less than 0.05 were considered statistically significant. Values are expressed as means +/- SEM. RESULTS: The genes, including MCP-1, GADD45, Relaxin H1, CSF-1, c-jun-oncogene, Pyk-2, NKR-P2 and CREM, were significantly up-regulated by both DTBHQ and antigen stimuli, whereas the genes including interleukin (IL)-3, IL-4, IL-9, IL-13, GADD153, butyrate response factor, and Fas ligand, were up-regulated by DTBHQ alone. On the other hand, the expression of several genes, including GATA-1, were down-regulated by DTBHQ stimulation. CONCLUSIONS: These results suggest 1) that DTBHQ seems to induce proinflammatory responses by stimulating the production of several cytokines through the expression of several transcription factors, 2) that the changes in gene expression profile induced by DTBHQ and by IgE receptor cross-linking in mast cells were almost the same, but many more stress-inducible genes like GADD 153 were up-regulated by the former.

Animals↗

Endothelial cell diversity revealed by global expression profiling.

The vascular system is locally specialized to accommodate widely varying blood flow and pressure and the distinct needs of individual tissues. The endothelial cells (ECs) that line the lumens of blood and lymphatic vessels play an integral role in the regional specialization of vascular structure and physiology. However, our understanding of EC diversity is limited. To explore EC specialization on a global scale, we used DNA microarrays to determine the expression profile of 53 cultured ECs. We found that ECs from different blood vessels and microvascular ECs from different tissues have distinct and characteristic gene expression profiles. Pervasive differences in gene expression patterns distinguish the ECs of large vessels from microvascular ECs. We identified groups of genes characteristic of arterial and venous endothelium. Hey2, the human homologue of the zebrafish gene gridlock, was selectively expressed in arterial ECs and induced the expression of several arterial-specific genes. Several genes critical in the establishment of left/right asymmetry were expressed preferentially in venous ECs, suggesting coordination between vascular differentiation and body plan development. Tissue-specific expression patterns in different tissue microvascular ECs suggest they are distinct differentiated cell types that play roles in the local physiology of their respective organs and tissues.

Cells, Cultured↗