Expression Microarray Studies Research Articles

Abstract 53: Increased expression of L-selectin (CD62L) in high grade bladder cancer: a potential biomarker for lymph node metastasis

Abstract Introduction and Objectives: L-selectin (CD62L) is a vascular adhesion molecule which is primarily expressed on leucocytes. Its principal function is to direct leucocyte migration and homing to lymph nodes (LNs). In a gene expression microarray study of laser captured micro-dissected high grade muscle invasive bladder cancer (MIBC) vs. low grade bladder cancer (LGBC) from human specimens, we found CD62L to be the highest differentially expressed gene. We sought to examine the differential expression of CD62L in MIBCs and its clinical relevance. Methods: Unfixed fresh and formalin fixed paraffin-embedded human bladder cancer specimens and serum samples were obtained from the UCHC tumor bank. Tumor cells were isolated from 5-10 µm sections of frozen tumor tissue (3 MIBC and 3 LGBC) by laser capture microdissection followed by RNA isolation. Preparation of cRNA and hybridization to Agilent Human GE 4x44K v2 microarray chips was performed by GenUS Biosystems (Northbrook, IL). qPCR was used to validate the level of CD62L transcripts. Immunohistochemistry and ELISA were performed to evaluate the CD62L protein localization and expression level. Flow cytometry was used to identify the relative number of cells expressing CD62L in fresh tumor tissue. In silico studies were performed using the Oncomine Database. Results: Two-hundred fifty genes were differentially expressed (≥ 2-fold) between the groups with 86 overexpressed in MIBC compared to LGBC. The most highly elevated transcript (34-fold) was L-selectin. The increased expression of CD62L transcript in high grade MIBC vs. LGBC specimens was validated by qPCR. Using 12 human bladder tumor samples representing high grade MIBC and LGBC, we found a uniformly higher expression level of CD62L in MIBC samples. Further, CD62L localization was seen in foci of metastatic tumor cells in LN specimens from patients with high grade MIBC and known nodal involvement. Up-regulated expression of CD62L was also observed by flow cytometry of freshly isolated tumor cells from biopsies of high grade MIBC vs. LGBC patients. Circulating CD62L levels were also found to be higher (640 ± 75 vs. 558 ± 34 ng/ml) in serum samples from patients with high grade metastatic vs. high grade non-metastatic MIBC. In addition, in silico analysis of Oncomine Microarray Database showed a significant correlation between CD62L expression and tumor aggressiveness and clinical outcomes. Conclusion: These findings suggest that elevated CD62L expression may serve as a marker of either occult metastatic disease or the propensity of a tumor to metastasize. Citation Format: Dharamainder Choudhary, Poornima Hegde, Shilpa Choudhary, Kevin Claffey, Pramod Srivastava, Carol C. Pilbeam, John Arthur Taylor. Increased expression of L-selectin (CD62L) in high grade bladder cancer: a potential biomarker for lymph node metastasis. [abstract]. In: Proceedings of the 105th Annual Meeting of the American Association for Cancer Research; 2014 Apr 5-9; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2014;74(19 Suppl):Abstract nr 53. doi:10.1158/1538-7445.AM2014-53

Common mechanisms in neurodegeneration and neuroinflammation: a BrainNet Europe gene expression microarray study.

Neurodegenerative diseases of the central nervous system are characterized by pathogenetic cellular and molecular changes in specific areas of the brain that lead to the dysfunction and/or loss of explicit neuronal populations. Despite exhibiting different clinical profiles and selective neuronal loss, common features such as abnormal protein deposition, dysfunctional cellular transport, mitochondrial deficits, glutamate excitotoxicity, iron accumulation and inflammation are observed in many neurodegenerative disorders, suggesting converging pathways of neurodegeneration. We have generated comparative genome-wide gene expression data, using the Illumina HumanRef 8 Beadchip, for Alzheimer's disease, amyotrophic lateral sclerosis, Huntington's disease, multiple sclerosis, Parkinson's disease, and schizophrenia using an extensive cohort (n=113) of well-characterized post-mortem brain tissues. The analysis of whole-genome expression patterns across these major disorders offers an outstanding opportunity not only to look into exclusive disease-specific changes, but more importantly to look for potential common molecular pathogenic mechanisms. Surprisingly, no dysregulated gene that passed our selection criteria was found in common across all six diseases. However, 61 dysregulated genes were shared when comparing five and four diseases. The few genes highlighted by our direct gene comparison analysis hint toward common neuronal homeostatic, survival and synaptic plasticity pathways. In addition, we report changes to several inflammation-related genes in all diseases. This work is supportive of a general role of the innate immune system in the pathogenesis and/or response to neurodegeneration.

Identification of candidate genes associated with leaf senescence in cultivated sunflower (Helianthus annuus L.).

Cultivated sunflower (Helianthus annuus L.), an important source of edible vegetable oil, shows rapid onset of senescence, which limits production by reducing photosynthetic capacity under specific growing conditions. Carbon for grain filling depends strongly on light interception by green leaf area, which diminishes during grain filling due to leaf senescence. Transcription factors (TFs) regulate the progression of leaf senescence in plants and have been well explored in model systems, but information for many agronomic crops remains limited. Here, we characterize the expression profiles of a set of putative senescence associated genes (SAGs) identified by a candidate gene approach and sunflower microarray expression studies. We examined a time course of sunflower leaves undergoing natural senescence and used quantitative PCR (qPCR) to measure the expression of 11 candidate genes representing the NAC, WRKY, MYB and NF-Y TF families. In addition, we measured physiological parameters such as chlorophyll, total soluble sugars and nitrogen content. The expression of Ha-NAC01, Ha-NAC03, Ha-NAC04, Ha-NAC05 and Ha-MYB01 TFs increased before the remobilization rate increased and therefore, before the appearance of the first physiological symptoms of senescence, whereas Ha-NAC02 expression decreased. In addition, we also examined the trifurcate feed-forward pathway (involving ORE1, miR164, and ETHYLENE INSENSITIVE 2) previously reported for Arabidopsis. We measured transcription of Ha-NAC01 (the sunflower homolog of ORE1) and Ha-EIN2, along with the levels of miR164, in two leaves from different stem positions, and identified differences in transcription between basal and upper leaves. Interestingly, Ha-NAC01 and Ha-EIN2 transcription profiles showed an earlier up-regulation in upper leaves of plants close to maturity, compared with basal leaves of plants at pre-anthesis stages. These results suggest that the H. annuus TFs characterized in this work could play important roles as potential triggers of leaf senescence and thus can be considered putative candidate genes for senescence in sunflower.

Gene set enrichment analysis for multiple continuous phenotypes.

BackgroundGene set analysis (GSA) methods test the association of sets of genes with phenotypes in gene expression microarray studies. While GSA methods on a single binary or categorical phenotype abounds, little attention has been paid to the case of a continuous phenotype, and there is no method to accommodate correlated multiple continuous phenotypes.ResultWe propose here an extension of the linear combination test (LCT) to its new version for multiple continuous phenotypes, incorporating correlations among gene expressions of functionally related gene sets, as well as correlations among multiple phenotypes. Further, we extend our new method to its nonlinear version, referred as nonlinear combination test (NLCT), to test potential nonlinear association of gene sets with multiple phenotypes. Simulation study and a real microarray example demonstrate the practical aspects of the proposed methods.ConclusionThe proposed approaches are effective in controlling type I errors and powerful in testing associations between gene-sets and multiple continuous phenotypes. They are both computationally effective. Naively (univariately) analyzing a group of multiple correlated phenotypes could be dangerous. R-codes to perform LCT and NLCT for multiple continuous phenotypes are available at http://www.ualberta.ca/~yyasui/homepage.html.Electronic supplementary materialThe online version of this article (doi:10.1186/1471-2105-15-260) contains supplementary material, which is available to authorized users.

Integrative genomic and transcriptomic analysis identified candidate genes implicated in the pathogenesis of hepatosplenic T-cell lymphoma.

Hepatosplenic T-cell lymphoma (HSTL) is an aggressive lymphoma cytogenetically characterized by isochromosome 7q [i(7)(q10)], of which the molecular consequences remain unknown. We report here results of an integrative genomic and transcriptomic (expression microarray and RNA-sequencing) study of six i(7)(q10)-positive HSTL cases, including HSTL-derived cell line (DERL-2), and three cases with ring 7 [r(7)], the recently identified rare variant aberration. Using high resolution array CGH, we profiled all cases and mapped the common deleted region (CDR) at 7p22.1p14.1 (34.88 Mb; 3506316-38406226 bp) and the common gained region (CGR) at 7q22.11q31.1 (38.77 Mb; 86259620–124892276 bp). Interestingly, CDR spans a smaller region of 13 Mb (86259620–99271246 bp) constantly amplified in cases with r(7). In addition, we found that TCRG (7p14.1) and TCRB (7q32) are involved in formation of r(7), which seems to be a byproduct of illegitimate somatic rearrangement of both loci. Further transcriptomic analysis has not identified any CDR-related candidate tumor suppressor gene. Instead, loss of 7p22.1p14.1 correlated with an enhanced expression of CHN2 (7p14.1) and the encoded β2-chimerin. Gain and amplification of 7q22.11q31.1 are associated with an increased expression of several genes postulated to be implicated in cancer, including RUNDC3B, PPP1R9A and ABCB1, a known multidrug resistance gene. RNA-sequencing did not identify any disease-defining mutation or gene fusion. Thus, chromosome 7 imbalances remain the only driver events detected in this tumor. We hypothesize that the Δ7p22.1p14.1-associated enhanced expression of CHN2/β2-chimerin leads to downmodulation of the NFAT pathway and a proliferative response, while upregulation of the CGR-related genes provides growth advantage for neoplastic δγT-cells and underlies their intrinsic chemoresistance. Finally, our study confirms the previously described gene expression profile of HSTL and identifies a set of 24 genes, including three located on chromosome 7 (CHN2, ABCB1 and PPP1R9A), distinguishing HSTL from other malignancies.

IL-13Rα2 mediates PNR-induced migration and metastasis in ERα-negative breast cancer.

Emerging evidence has linked photoreceptor cell-specific nuclearreceptor (PNR/NR2E3), an orphan nuclear hormone receptor, to human breast cancer. PNR was shown to be a transcriptional activator of estrogen receptor-α (ERα) in ERα-positive breast cancer cell linesand high-level expression of PNR correlates with favorable response of ERα-positive breast cancer patients to tamoxifen. Interestingly, gene expression microarray study shows that PNR regulates distinct genes from those regulated by ERα, suggesting that PNR could have ERα-independent functions. Herein, we investigated the function of PNR in ERα-negative breast cancer cells. Our results showed that PNR-induced cell migration and metastasis of ERα-negative breast cancer cells both in vitro and in vivo, and the effect was attributed to the upregulation of interleukin (IL)-13Rα2, a high-affinity receptor for IL-13 that regulates tumor growth, invasion and metastasis of various human cancers. Mechanistically, PNR activated transcription of IL-13Rα2 through direct recruitment to IL-13Rα2 promoter. Upon stimulation with IL-13, IL-13Rα2 increased the extracellular signal-regulated kinases 1 and 2phosphorylation, which led to breast cancer migration and metastasis. The IL-13 triggered signal cascade was specific to IL-13Rα2, as the closely related IL-13Rα1 was not regulated by PNR. IL-13Rα2 is a novel tumor antigen that is overexpressed in a variety of solid tumor types. This study presents the first evidence that PNR could promote ERα-negative breast cancer metastasis through activation of IL-13Rα2-mediated signaling pathway.

Genetics/genomics in osteoarthritis

In this year review recent developments in genetics/genomics of osteoarthritis (OA) are discussed to improve our understanding of OA pathophysiology. In OA genetics, a meta-analysis of genome wide association studies (GWAS) revealed novel loci for hip OA, among which a variant near the NCOA3 (nuclear receptor coactivator 3) gene and an 199-candidate gene meta-analysis of GWAS demonstrated association only between COL11A1 and VEGF genes and hip OA. In addition, the effect of the FTO variant on OA risk was found to be mediated through body mass index. In OA genomics, four trans-acting factors were identified that bind to GDF5 and regulate its expression via the OA susceptibility locus rs143383. Gene expression microarray studies in OA synovium showed elevation of collagens and cross-linking enzymes (COL1A1, COL5A1, PLOD2, LOX and TIMP1) responsive to TGF-β and also differential expression pattern between different areas of the osteoarthritic synovial membrane. Microarray analysis in peripheral blood demonstrated differentially expressed genes involved in apoptotic pathways between OA patients and healthy controls. Furthermore, gene expression profiling in OA subchondral bone revealed differentially expressed genes involved in cartilage and bone development and OA pathogenesis. In epigenetics, a number of studies identified the role of several microRNAs (miRs) in regulation of gene expression in chondrocytes and highlighted their use as potential drug targets. Among them, miR-125 was implicated in ADAMTS-4 regulation, miR-127b in MMP-13 regulation and IL-1β induced catabolic effects, miR-1247 was shown to directly target SOX9 and overexpression of hsa-miR-148a in OA chondrocytes inhibited hypertrophic differentiation and increased COL2A1 production. Future studies must focus on the integration of genetics and genomics for the identification of signaling pathways and regulatory networks responsible for OA development.

Effect of Cytostatic Drugs on the mRNA Expression Levels of Ribonuclease κ in Breast and Ovarian Cancer Cells

Breast and ovarian cancers remain a major public health issue, constituting a major cause of female morbidity and mortality worldwide. Even though systemic chemotherapy remains the main course of action for both types of cancer, current research studies aim at the discovery of novel therapeutic targets. Ribonucleases, due to their apparent implication in gene expression regulation, may serve as potential anticancer drugs. Human RNase κ is an endoribonuclease belonging in a recently identified family of proteins. Recent data from expression microarray studies reveal that the RNase κ gene is found either up- or downregulated in a number of human cancers, indicating a possible diagnostic and/or prognostic utility.The aim of this study was to investigate modulations in the expression levels of RNase κ gene, in breast and ovarian cancer cells, as a response to treatment with different chemotherapeutic agents. BT-20 breast cancer cells and SKOV-3 ovarian cancer cells were treated with the cytotoxic drugs paclitaxel, docetaxel, cisplatin, carboplatin, epirubicin and vinorelbine. Gene expression analysis was performed by the comparative CT method also known as 2(-ΔΔCT) method. The results revealed a distinct increase in the expression levels of RNase κ mRNA (up to 9-fold) after treatment with the antineoplastic agent paclitaxel in both cell lines, while treatment with the remaining anticancer drugs did not alter drastically the mRNA levels of RNase κ. Based on the fact that paclitaxel exerts its cytotoxic action by inducing apoptosis, the results could be indicative of a potential implication of RNase κ in apoptosis-related pathways.

Alternations in genes expression of pathway signaling in esophageal tissue with atresia: results of expression microarray profiling

Esophageal atresia (EA) is a congenital defect of the esophagus involving the interruption of the esophagus with or without connection to the trachea (tracheoesophageal fistula [TEF]). EA/TEF may occur as an isolated anomaly, may be part of a complex of congenital defects (syndromic), or may develop within the context of a known syndrome or association. The molecular mechanisms underlying the development of EA are poorly understood. It is supposed that a combination of multigenic factors and epigenetic modification of genes play a role in its etiology. The aim of our work was to assess the human gene expression microarray study in esophageal tissue samples. Total RNA was extracted from 26 lower pouches of esophageal tissue collected during thoracoscopic EA repair in neonates with the isolated (IEA) and the syndromic form (SEA). We identified 787 downregulated and 841 upregulated transcripts between SEA and controls, and about 817 downregulated and 765 upregulated probes between IEA and controls. Fifty percent of these genes showed differential expression specific for either IEA or SEA. Functional pathway analysis revealed substantial enrichment for Wnt and Sonic hedgehog, as well as cytokine and chemokine signaling pathways. Moreover, we performed reverse transcription polymerase chain reaction study in a group of SHH and Wnt pathways genes with differential expression in microarray profiling to confirm the microarray expression results. We verified the altered expression in SFRP2 gene from the Wnt pathway as well as SHH, GLI1, GLI2, and GLI3 from the Sonic hedgehog pathway. The results suggest an important role of these pathways and genes for EA/TEF etiology.

Transcriptional Profiling of Whole Blood Identifies a Unique 5-Gene Signature for Myelofibrosis and Imminent Myelofibrosis Transformation

Identifying a distinct gene signature for myelofibrosis may yield novel information of the genes, which are responsible for progression of essential thrombocythemia and polycythemia vera towards myelofibrosis. We aimed at identifying a simple gene signature – composed of a few genes - which were selectively and highly deregulated in myelofibrosis patients. Gene expression microarray studies have been performed on whole blood from 69 patients with myeloproliferative neoplasms. Amongst the top-20 of the most upregulated genes in PMF compared to controls, we identified 5 genes (DEFA4, ELA2, OLFM4, CTSG, and AZU1), which were highly significantly deregulated in PMF only. None of these genes were significantly regulated in ET and PV patients. However, hierarchical cluster analysis showed that these genes were also highly expressed in a subset of patients with ET (n = 1) and PV (n = 4) transforming towards myelofibrosis and/or being featured by an aggressive phenotype. We have identified a simple 5-gene signature, which is uniquely and highly significantly deregulated in patients in transitional stages of ET and PV towards myelofibrosis and in patients with PMF only. Some of these genes are considered to be responsible for the derangement of bone marrow stroma in myelofibrosis. Accordingly, this gene-signature may reflect key processes in the pathogenesis and pathophysiology of myelofibrosis development.

Meiotic Cohesin SMC1β Provides Prophase I Centromeric Cohesion and Is Required for Multiple Synapsis-Associated Functions

Cohesin subunit SMC1β is specific and essential for meiosis. Previous studies showed functions of SMC1β in determining the axis-loop structure of synaptonemal complexes (SCs), in providing sister chromatid cohesion (SCC) in metaphase I and thereafter, in protecting telomere structure, and in synapsis. However, several central questions remained unanswered and concern roles of SMC1β in SCC and synapsis and processes related to these two processes. Here we show that SMC1β substantially supports prophase I SCC at centromeres but not along chromosome arms. Arm cohesion and some of centromeric cohesion in prophase I are provided by non-phosphorylated SMC1α. Besides supporting synapsis of autosomes, SMC1β is also required for synapsis and silencing of sex chromosomes. In absence of SMC1β, the silencing factor γH2AX remains associated with asynapsed autosomes and fails to localize to sex chromosomes. Microarray expression studies revealed up-regulated sex chromosome genes and many down-regulated autosomal genes. SMC1β is further required for non-homologous chromosome associations observed in absence of SPO11 and thus of programmed double-strand breaks. These breaks are properly generated in Smc1β−/− spermatocytes, but their repair is delayed on asynapsed chromosomes. SMC1α alone cannot support non-homologous associations. Together with previous knowledge, three main functions of SMC1β have emerged, which have multiple consequences for spermatocyte biology: generation of the loop-axis architecture of SCs, homologous and non-homologous synapsis, and SCC starting in early prophase I.

Epistatic Clustering: A Model-Based Approach for Identifying Links Between Clusters

Most clustering methods assume that the data can be represented by mutually exclusive clusters, although this assumption may not be the case in practice. For example, in gene expression microarray studies, investigators have often found that a gene can play multiple functions in a cell and may, therefore, belong to more than one cluster simultaneously, and that gene clusters can be linked to each other in certain pathways. This article examines the effect of the above assumption on the likelihood of finding latent clusters using theoretical calculations and simulation studies, for which the epistatic structures were known in advance, and on real data analyses. To explore potential links between clusters, we introduce an epistatic mixture model which extends the Gaussian mixture by including epistatic terms. A generalized expectation-maximization (EM) algorithm is developed to compute the related maximum likelihood estimators. The Bayesian information criterion is then used to determine the order of the proposed model. A bootstrap test is proposed for testing whether the epistatic mixture model is a significantly better fit to the data than a standard mixture model in which each data point belongs to one cluster. The asymptotic properties of the proposed estimators are also investigated when the number of analysis units is large. The results demonstrate that the epistatic links between clusters do have a serious effect on the accuracy of clustering and that our epistatic approach can substantially reduce such an effect and improve the fit.

Histone Deacetylase Inhibition Promotes Osteoblast Maturation by Altering the Histone H4 Epigenome and Reduces Akt Phosphorylation

Bone has remarkable regenerative capacity, but this ability diminishes during aging. Histone deacetylase inhibitors (HDIs) promote terminal osteoblast differentiation and extracellular matrix production in culture. The epigenetic events altered by HDIs in osteoblasts may hold clues for the development of new anabolic treatments for osteoporosis and other conditions of low bone mass. To assess how HDIs affect the epigenome of committed osteoblasts, MC3T3 cells were treated with suberoylanilide hydroxamic acid (SAHA) and subjected to microarray gene expression profiling and high-throughput ChIP-Seq analysis. As expected, SAHA induced differentiation and matrix calcification of osteoblasts in vitro. ChIP-Seq analysis revealed that SAHA increased histone H4 acetylation genome-wide and in differentially regulated genes, except for the 500 bp upstream of transcriptional start sites. Pathway analysis indicated that SAHA increased the expression of insulin signaling modulators, including Slc9a3r1. SAHA decreased phosphorylation of insulin receptor β, Akt, and the Akt substrate FoxO1, resulting in FoxO1 stabilization. Thus, SAHA induces genome-wide H4 acetylation and modulates the insulin/Akt/FoxO1 signaling axis, whereas it promotes terminal osteoblast differentiation in vitro.

The Expression of Inflammatory Genes Is Upregulated in Peripheral Blood of Patients With Type 1 Diabetes

OBJECTIVEOur previous gene expression microarray studies identified a number of genes differentially expressed in patients with type 1 diabetes (T1D) and islet autoantibody-positive subjects. This study was designed to validate these gene expression changes in T1D patients and to identify gene expression changes in diabetes complications.RESEARCH DESIGH AND METHODSWe performed high-throughput real-time RT-PCR to validate gene expression changes in peripheral blood mononuclear cells (PBMCs) from a large sample set of 928 T1D patients and 922 control subjects.RESULTSOf the 18 genes analyzed here, eight genes (S100A8, S100A9, MNDA, SELL, TGFB1, PSMB3, CD74, and IL12A) had higher expression and three genes (GNLY, PSMA4, and SMAD7) had lower expression in T1D patients compared with control subjects, indicating that genes involved in inflammation, immune regulation, and antigen processing and presentation are significantly altered in PBMCs from T1D patients. Furthermore, one adhesion molecule (SELL) and three inflammatory genes mainly expressed by myeloid cells (S100A8, S100A9, and MNDA) were significantly higher in T1D patients with complications (odds ratio [OR] 1.3–2.6, adjusted P value = 0.005–10−8), especially those patients with neuropathy (OR 4.8–7.9, adjusted P value <0.005).CONCLUSIONSThese findings suggest that inflammatory mediators secreted mainly by myeloid cells are implicated in T1D and its complications.

The unsolved genetics of LHON: Beyond mtDNA primary mutations what else?

AbstractLeber's hereditary optic neuropathy (LHON) is a blinding disorder recognized as the most frequent mitochondrial disease. LHON is associated with mtDNA point mutations in complex I subunit genes, but remains characterized by poorly understood features such as tissue specificity, incomplete penetrance and male prevalence. Environmental factors (tobacco and alcohol) and specific mtDNA backgrounds (haplogroup J) are confirmed to play a role in modulating penetrance. We have also demonstrated that mitochondrial biogenesis and mtDNA copy number are major determinants on penetrance and gender difference in LHON. We are currently pursuing a multilayered "tour de force" to identify genetic modifiers by combining traditional tools, such as linkage analysis, with high‐throughput techniques, such as MitoExome sequencing, functional and tag SNPs genotyping and microarray expression studies. Our results indicate that penetrance in LHON is modulated by polymorphisms in different genes rather than by a single mutation. Co‐variates (age, sex, smoke and mtDNA copy number) have been instrumental to generating a list of candidate genes for which validation is currently ongoing.

Hippocampal gene expression meta-analysis identifies aging and age-associated spatial learning impairment (ASLI) genes and pathways.

A number of gene expression microarray studies have been carried out in the past, which studied aging and age-associated spatial learning impairment (ASLI) in the hippocampus in animal models, with varying results. Data from such studies were never integrated to identify the most significant ASLI genes and to understand their effect. In this study we integrated these data involving rats using meta-analysis. Our results show that proper removal of batch effects from microarray data generated from different laboratories is necessary before integrating them for meta-analysis. Our meta-analysis has identified a number of significant differentially expressed genes across age or across ASLI. These genes affect many key functions in the aged compared to the young rats, which include viability of neurons, cell-to-cell signalling and interaction, migration of cells, neuronal growth, and synaptic plasticity. These functional changes due to the altered gene expression may manifest into various neurodegenerative diseases and disorders, some of which leading into syndromic memory impairments. While other aging related molecular changes can result into altered synaptic plasticity simply causing normal aging related non-syndromic learning or spatial learning impairments such as ASLI.

Maldevelopment of dermal lymphatics in Wnt5a-knockout-mice

Maintenance of tissue homeostasis and immune surveillance are important functions of the lymphatic vascular system. Lymphatic vessels are lined by lymphatic endothelial cells (LECs). By gene micro-array expression studies we recently compared human lymphangioma-derived LECs with umbilical vein endothelial cells (HUVECs). Here, we followed up on these studies. Besides well-known LEC markers, we observed regulation of molecules involved in immune regulation, acetylcholine degradation and platelet regulation. Moreover we identified differentially expressed WNT pathway components, which play important roles in the morphogenesis of various organs, including the blood vascular system. WNT signaling has not yet been addressed in lymphangiogenesis. We found high expression of FZD3, FZD5 and DKK2 mRNA in HUVECs, and WNT5A in LECs. The latter was verified in normal skin-derived LECs. With immunohistological methods we detected WNT5A in LECs, as well as ROR1, ROR2 and RYK in both LECs and HUVECs. In the human, mutations of WNT5A or its receptor ROR2 cause the Robinow syndrome. These patients show multiple developmental defects including the cardio-vascular system. We studied Wnt5a-knockout (ko) mouse embryos at day 18.5. We show that the number of dermal lymphatic capillaries is significantly lower in Wnt5a-null-mice. However, the mean size of individual lymphatics and the LEC number per vessel are greater. In sum, the total area covered by lymphatics and the total number of LECs are not significantly altered. The reduced number of lymphatic capillaries indicates a sprouting defect rather than a proliferation defect in the dermis of Wnt5a-ko-mice, and identifies Wnt5a as a regulator of lymphangiogenesis.

Linear combination test for gene set analysis of a continuous phenotype

BackgroundGene set analysis (GSA) methods test the association of sets of genes with a phenotype in gene expression microarray studies. Many GSA methods have been proposed, especially methods for use with a binary phenotype. Equally, if not more importantly however, is the ability to test the enrichment of a gene signature or pathway against the continuous phenotypes which are routinely and commonly observed in, for example, clinicopathological measurements. It is not always easy or meaningful to dichotomize continuous phenotypes into two classes, and attempting to do this may lead to the inaccurate classification of samples, which would affect the downstream enrichment analysis. In the present study, we have build on recent efforts to incorporate correlation structure within gene sets and pathways into the GSA test statistic. To address the issue of continuous phenotypes directly without the need for artificial discrete classification and thus increase the power of the test while ensuring computational efficiency and rigor, new GSA methods that can incorporate a covariance matrix estimator for a continuous phenotype may present an effective approach.ResultsWe have designed a new method by extending the GSA approach called Linear Combination Test (LCT) from a binary to a continuous phenotype. Simulation studies and a real microarray dataset were used to compare the proposed LCT for a continuous phenotype, a modification of LCT (referred to as LCT2), and two publicly available GSA methods for continuous phenotypes.ConclusionsWe found that the LCT methods performed better than the other two GSA methods; however, this finding should be understood in the context of our specific simulation studies and the real microarray dataset that were used to compare the methods. Free R-codes to perform LCT for binary and continuous phenotypes are available at http://www.ualberta.ca/~yyasui/homepage.html. The R-code to perform LCT for a continuous phenotype is available as Additional file 1.

Th-MYCN Mice with Caspase-8 Deficiency Develop Advanced Neuroblastoma with Bone Marrow Metastasis

Neuroblastoma, the most common extracranial pediatric solid tumor, is responsible for 15% of all childhood cancer deaths. Patients frequently present at diagnosis with metastatic disease, particularly to the bone marrow. Advances in therapy and understanding of the metastatic process have been limited due, in part, to the lack of animal models harboring bone marrow disease. The widely used transgenic model, the Th-MYCN mouse, exhibits limited metastasis to this site. Here, we establish the first genetic immunocompetent mouse model for metastatic neuroblastoma with enhanced secondary tumors in the bone marrow. This model recapitulates 2 frequent alterations in metastatic neuroblastoma, overexpression of MYCN and loss of caspase-8 expression. Mouse caspase-8 gene was deleted in neural crest lineage cells by crossing a Th-Cre transgenic mouse with a caspase-8 conditional knockout mouse. This mouse was then crossed with the neuroblastoma prone Th-MYCN mouse. Although overexpression of MYCN by itself rarely caused bone marrow metastasis, combining MYCN overexpression and caspase-8 deletion significantly enhanced bone marrow metastasis (37% incidence). Microarray expression studies of the primary tumors mRNAs and microRNAs revealed extracellular matrix structural changes, increased expression of genes involved in epithelial to mesenchymal transition, inflammation, and downregulation of miR-7a and miR-29b. These molecular changes have been shown to be associated with tumor progression and activation of the cytokine TGF-β pathway in various tumor models. Cytokine TGF-β can preferentially promote single cell motility and blood-borne metastasis and therefore activation of this pathway may explain the enhanced bone marrow metastasis observed in this animal model.

Genotypes of human glioma xenografts compared with glioma stem cell-derived tumors.

2072 Background: Human glioma stem cells and xenograft lines are common translational models in neuro-oncology but it has not been established if they are genetically and phenotypically comparable. This study aimed to determine if human glioma xenografts and stem cell-derived tumors had similar genotypes. Methods: Matched glioma stem cell cultures and subcutaneous xenograft lines were generated from four human glioblastoma specimens (BT114, BT116, BT120, BT132). Comparison was made between subcutaneous stem cell-derived tumors (flank) and xenografts established in nude mice. Copy number variation (CNV) and gene expression microarray studies were performed. Results: Various differences in copy number and gene expression were seen. Observed CNVs included regions within EGFR, myc, and p16 (INK). For example, EGFR copy number was two fold higher in xenografts vs. stem cell-derived tumor in one line (BT114). This difference was corroborated by western blot. Other differences included a heat shock protein homolog (DNAJA4), tetraspanin 13, and a p53 family target gene (ISG20L1). Two lines (BT114, BT116) had a greater than two fold increase in DNAJA4 expression in xenografts vs. stem cell-derived tumors (p = 0.04, 0.01). Two cell lines (BT116, BT120) had a two to eight fold increase in tetraspanin 13 expression in xenografts (p = 0.02, 0.05). However, neither copy number nor gene expression variations were consistent across all cell lines. Conclusions: Xenografts and glioma stem cell-derived tumors established from the same patient specimens have distinct genotypes. Further work is needed to establish if these differences are random or represent characteristic changes selected by different in vitro or in vivo pressures. However, these variations raise questions regarding which model is ideal for studying glioma biology, and which ones best replicate glioma characteristics in human patients.