Identification of candidate lung cancer susceptibility genes in mouse using oligonucleotide arrays

Pamidronate Down-regulates Tumor Necrosis Factor-alpha Induced Matrix Metalloproteinases Expression in Human Intervertebral Disc Cells

Background

N-containing bisphosphonates (BPs), such as pamidronate and risedronate, can inhibit osteoclastic function and reduce osteoclast number by inducing apoptotic cell death in osteoclasts. The aim of this study is to demonstrate the effect of pamidronate, second generation nitrogen-containing BPs and to elucidate matrix metallo-proteinases (MMPs) mRNA expression under serum starvation and/or tumor necrosis factor alpha (TNF-α) stimulation on metabolism of intervertebral disc (IVD) cells in vitro.

Methods

Firstly, to test the effect of pamidronate on IVD cells in vitro, various concentrations (10^-12, 10^-10, 10^-8, and 10^-6 M) of pamidronate were administered to IVD cells. Then DNA and proteoglycan synthesis were measured and messenger RNA (mRNA) expressions of type I collagen, type II collagen, and aggrecan were analyzed. Secondly, to elucidate the expression of MMPs mRNA in human IVD cells under the lower serum status, IVD cells were cultivated in full serum or 1% serum. Thirdly, to elucidate the expression of MMPs mRNA in IVD cells under the stimulation of 1% serum and TNF-α (10 ng/mL) In this study, IVD cells were cultivated in three dimensional alginate bead.

Results

Under the lower serum culture, IVD cells in alginate beads showed upregulation of MMP 2, 3, 9, 13 mRNA. The cells in lower serum and TNF-α also demonstrated upregulation of MMP-2, 3, 9, and 13 mRNA. The cells with various doses of pamidronate and lower serum and TNF-α were reveled partial down-regulation of MMPs.

Conclusions

Pamidronate, N-containing second generation BPs, was safe in metabolism of IVD in vitro maintaining chondrogenic phenotype and matrix synthesis, and down-regulated TNF-α induced MMPs expression.

Loss of adipose triglyceride lipase is associated with human cancer and induces mouse pulmonary neoplasia

Metabolic reprogramming is a hallmark of cancer. Understanding cancer metabolism is instrumental to devise innovative therapeutic approaches. Anabolic metabolism, including the induction of lipogenic enzymes, is a key feature of proliferating cells. Here, we report a novel tumor suppressive function for adipose triglyceride lipase (ATGL), the rate limiting enzyme in the triglyceride hydrolysis cascade.In immunohistochemical analysis, non-small cell lung cancers, pancreatic adenocarcinoma as well as leiomyosarcoma showed significantly reduced levels of ATGL protein compared to corresponding normal tissues. The ATGL gene was frequently deleted in various forms of cancers. Low levels of ATGL mRNA correlated with significantly reduced survival in patients with ovarian, breast, gastric and non-small cell lung cancers. Remarkably, pulmonary neoplasia including invasive adenocarcinoma developed spontaneously in mice lacking ATGL pointing to an important role for this lipase in controlling tumor development.Loss of ATGL, as detected in several forms of human cancer, induces spontaneous development of pulmonary neoplasia in a mouse model. Our results, therefore, suggest a novel tumor suppressor function for ATGL and contribute to the understanding of cancer metabolism. We propose to evaluate loss of ATGL protein expression for the diagnosis of malignant tumors. Finally, modulation of the lipolytic pathway may represent a novel therapeutic approach in the treatment of human cancer.

PRDM14 promotes the migration of human non-small cell lung cancer through extracellular matrix degradation in vitro

Background:

As a novel molecular markerof non-small cell lung cancer (NSCLC), PRDI-BF1 and RIZ homology domain containing protein 14 (PRDM14) is over-expressed in NSCLC tumor tissues. Extracellular matrix degradation mediated by the balance between matrix metalloproteinases (MMPs) and tissue inhibitor of metalloproteinases (TIMPs) is one of the most important mechanism in lung cancer metastasis. This study aimed to determine if PRDM14 promoted the migration of NSCLC cells through extracellular matrix degradation mediated by change of MMP/TIMP expression.

Methods:

The expression of PRDM14 was down-regulated in human cell line A 549 after transfection with lentiviral vector-mediated short-hairpin ribonucleic acids (shRNAs) which targeted the PRDM14 promoter. Cellular migration of shRNA-infected cells was detected by a scratch wound healing assay and transwell cell migration assay. Expression levels of MMP1, MMP2, TIMP1, and TIMP2 were measured by quantitative real-time polymerase chain reaction (RT-PCR).

Results:

Migration of PRDM14-shRNA-infected cells was significantly inhibited relative to control cells as measured by the scratch wound healing (P < 0.05) and transwell cell migration assays (P < 0.01). The expression of MMP1 in A549 cells infected by PRDM14-shRNA was down-regulated significantly (P < 0.01), whereas the expression of TIMP1 and TIMP2 was up-regulated significantly (P < 0.01).

Conclusions:

PRDM14 accelerates A549 cells migration in vitro through extracellular matrix degradation. PRDM14 is considered as a potential therapeutic target in metastatic NSCLC.

Mastitis associated transcriptomic disruptions in cattle

Mastitis is ranked as the top disease for dairy cattle based on traditional cost analysis. Greater than 100 organisms from a broad phylogenetic spectrum are able to cause bovine mastitis. Transcriptomic characterization facilitates our understanding of host-pathogen relations and provides mechanistic insight into host resistance to mastitis. In this review, we discuss effector mechanisms and transcriptomic changes within the mammary gland in response to experimental infections. We compare temporal, spatial and pathogen-specific local transcriptomic disruptions in the mammary gland as well as pathogen-induced systemic responses and transcriptional changes in distant organs. We attempt to explain why studies on transcriptomic changes during critical physiological periods and in response to non-mastitic pathogens may have important implications for mastitis studies. Future perspectives on revealing bidirectional molecular cross-talk between mastitis pathogens and host cells using cutting-edge genomic technologies are also discussed.

Gene expression profiling distinguishes radiation-induced fibrosing alveolitis from alveolitis in mice

Thoracic cavity radiotherapy is limited by the development of alveolitis and fibrosis in susceptible patients. To define the response to 18 Gy pulmonary irradiation in mice at the gene expression level and to identify pathways that may influence the alveolitis and fibrosis phenotypes, expression profiling was undertaken. Male mice of three strains, A/J (late alveolitis response), C3H/HeJ (C3H, early alveolitis response) and C57BL/6J (B6, fibrosis response), were exposed to thoracic radiation and euthanized when moribund, and lung tissue gene expression was assessed with microarrays. The responses of A/J and C3H mice were more similar to each other (60% of differentially expressed genes detected in both strains) than to that of B6 mice (17% overlap). Pathway analysis revealed the expression of complement and of B-cell proliferation and activation genes to distinguish fibrosis from the alveolitis response and cytokine interactions and intracellular signaling differed between A/J and C3H mice. A genomic approach was used to identify specific pathways that likely contribute to the lung response to radiation as fibrosis or alveolitis in mice.

Combining mouse mammary gland gene expression and comparative mapping for the identification of candidate genes for QTL of milk production traits in cattle

Background

Many studies have found segregating quantitative trait loci (QTL) for milk production traits in different dairy cattle populations. However, even for relatively large effects with a saturated marker map the confidence interval for QTL location by linkage analysis spans tens of map units, or hundreds of genes. Combining mapping and arraying has been suggested as an approach to identify candidate genes. Thus, gene expression analysis in the mammary gland of genes positioned in the confidence interval of the QTL can bridge the gap between fine mapping and quantitative trait nucleotide (QTN) determination.

Results

We hybridized Affymetrix microarray (MG-U74v2), containing 12,488 murine probes, with RNA derived from mammary gland of virgin, pregnant, lactating and involuting C57BL/6J mice in a total of nine biological replicates. We combined microarray data from two additional studies that used the same design in mice with a total of 75 biological replicates. The same filtering and normalization was applied to each microarray data using GeneSpring software. Analysis of variance identified 249 differentially expressed probe sets common to the three experiments along the four developmental stages of puberty, pregnancy, lactation and involution. 212 genes were assigned to their bovine map positions through comparative mapping, and thus form a list of candidate genes for previously identified QTLs for milk production traits. A total of 82 of the genes showed mammary gland-specific expression with at least 3-fold expression over the median representing all tissues tested in GeneAtlas.

Conclusion

This work presents a web tool for candidate genes for QTL (cgQTL) that allows navigation between the map of bovine milk production QTL, potential candidate genes and their level of expression in mammary gland arrays and in GeneAtlas. Three out of four confirmed genes that affect QTL in livestock (ABCG2, DGAT1, GDF8, IGF2) were over expressed in the target organ. Thus, cgQTL can be used to determine priority of candidate genes for QTN analysis based on differential expression in the target organ.

Bleomycin-induced pulmonary fibrosis susceptibility genes in AcB/BcA recombinant congenic mice

The genetic basis of susceptibility to pulmonary fibrosis is largely unknown. Initially, in this study, loci regulating the response of bleomycin-induced pulmonary fibrosis were mapped using a set of recombinant congenic strains bred from pulmonary fibrosis-resistant A/J and susceptible C57BL/6J (B6) mice. Linkage was identified (logarithm of the odds score = 4.9) on chromosome 9, and other suggestive loci were detected. The putative loci included alleles from both the B6 and A/J strains as increasing the fibrosis response of congenic mice. Gene expression analysis with microarrays revealed 3,304 genes or expressed sequence tags to be differentially expressed (P < 0.01) in lung tissue between bleomycin-treated B6 and A/J mice, and 246 of these genes mapped to potential susceptibility loci. Pulmonary genes differentially expressed between bleomycin-treated B6 and A/J mice included those of heparin binding and extracellular matrix deposition pathways. A review of available genomic sequences revealed 809 (43% of total) genes in the linkage intervals to have variations predicted to alter the encoded proteins or their regulation, 68 (8.4%) of which were also differentially expressed. Genomic approaches were combined to produce a set of candidate genes that may influence susceptibility to bleomycin-induced pulmonary fibrosis in the A/J:B6 mouse model.

Analysis of orthologous gene expression between human pulmonary adenocarcinoma and a carcinogen-induced murine model

Human adenocarcinoma (AC) is the most frequently diagnosed human lung cancer, and its absolute incidence is increasing dramatically. Compared to human lung AC, the A/J mouse-urethane model exhibits similar histological appearance and molecular changes. We examined the gene expression profiles of human and murine lung tissues (normal or AC) and compared the two species' datasets after aligning approximately 7500 orthologous genes. A list of 409 gene classifiers (P value <0.0001), common to both species (joint classifiers), showed significant, positive correlation in expression levels between the two species. A number of previously reported expression changes were recapitulated in both species, such as changes in glycolytic enzymes and cell-cycle proteins. Unexpectedly, joint classifiers in angiogenesis were uniformly down-regulated in tumor tissues. The eicosanoid pathway enzymes prostacyclin synthase (PGIS) and inducible prostaglandin E(2) synthase (PGES) were joint classifiers that showed opposite effects in lung AC (PGIS down-regulated; PGES up-regulated). Finally, tissue microarrays identified the same protein expression pattern for PGIS and PGES in 108 different non-small cell lung cancer biopsies, and the detection of PGIS had statistically significant prognostic value in patient survival. Thus, the A/J mouse-urethane model reflects significant molecular details of human lung AC, and comparison of changes in orthologous gene expression may provide novel insights into lung carcinogenesis.

The landscape of genetic complexity across 5,700 gene expression traits in yeast

Many studies have identified quantitative trait loci (QTLs) that contribute to continuous variation in heritable traits of interest. However, general principles regarding the distribution of QTL numbers, effect sizes, and combined effects of multiple QTLs remain to be elucidated. Here, we characterize complex genetics underlying inheritance of thousands of transcript levels in a cross between two strains of Saccharomyces cerevisiae. Most detected QTLs have weak effects, with a median variance explained of 27% for highly heritable transcripts. Despite the high statistical power of the study, no QTLs were detected for 40% of highly heritable transcripts, indicating extensive genetic complexity. Modeling of QTL detection showed that only 3% of highly heritable transcripts are consistent with single-locus inheritance, 17-18% are consistent with control by one or two loci, and half require more than five loci under additive models. Strikingly, analysis of parent and progeny trait distributions showed that a majority of transcripts exhibit transgressive segregation. Sixteen percent of highly heritable transcripts exhibit evidence of interacting loci. Our results will aid design of future QTL mapping studies and may shed light on the evolution of quantitative traits.

Susceptibility to neoplastic and non-neoplastic pulmonary diseases in mice: genetic similarities

Chronic inflammation predisposes toward many types of cancer. Chronic bronchitis and asthma, for example, heighten the risk of lung cancer. Exactly which inflammatory mediators (e.g., oxidant species and growth factors) and lung wound repair processes (e.g., proangiogenic factors) enhance pulmonary neoplastic development is not clear. One approach to uncover the most relevant biochemical and physiological pathways is to identify genes underlying susceptibilities to inflammation and to cancer development at the same anatomic site. Mice develop lung adenocarcinomas similar in histology, molecular characteristics, and histogenesis to this most common human lung cancer subtype. Over two dozen loci, called Pas or pulmonary adenoma susceptibility, Par or pulmonary adenoma resistance, and Sluc or susceptibility to lung cancer genes, regulate differential lung tumor susceptibility among inbred mouse strains as assigned by QTL (quantitative trait locus) mapping. Chromosomal sites that determine responsiveness to proinflammatory pneumotoxicants such as ozone (O3), particulates, and hyperoxia have also been mapped in mice. For example, susceptibility QTLs have been identified on chromosomes 17 and 11 for O3-induced inflammation (Inf1, Inf2), O3-induced acute lung injury (Aliq3, Aliq1), and sulfate-associated particulates. Sites within the human and mouse genomes for asthma and COPD phenotypes have also been delineated. It is of great interest that several susceptibility loci for mouse lung neoplasia also contain susceptibility genes for toxicant-induced lung injury and inflammation and are homologous to several human asthma loci. These QTLs are described herein, candidate genes are suggested within these sites, and experimental evidence that inflammation enhances lung tumor development is provided.

Studies of natural allele effects in mice can be used to identify genes causing common human obesity

Although genes causing rare Mendelian forms of human obesity have provided much useful information about underlying causes of obesity, these genes do not explain significant proportions of common obesity. This review presents evidence that animal models can be used to uncover subtle genetic effects on obesity and can provide a powerful rigorous compliment to human association studies. We discuss the advantages of animal models of obesity, various approaches to discovering obesity genes, and the future of mapping and isolating naturally occurring alleles of obesity genes. We review evidence that it is important to map naturally occurring obesity genes using quantitative trait locus (QTL) mapping, instead of mutagenesis and knockout models because the latter do not allow study of interactions and because naturally occurring obesity alleles can interfere with cloning from mutagenesis projects. Because a substantial percentage of human obesity results from complex interactions, the underlying genes can only be identified by direct studies in humans, which are still very difficult, or by studies in mice that begin with QTL mapping. Finally, we emphasize that animal model studies can be used to prove that a specific gene, only associated with obesity in humans, can indeed be the underlying cause of obesity in mammals.

A high performance test of differential gene expression for oligonucleotide arrays

A method, Logit-t, for normalization of microarray data and for finding significantly differentially expressed genes has been described.

Logit-t employs a logit-transformation for normalization followed by statistical testing at the probe-level. Using four publicly-available datasets, together providing 2,710 known positive incidences of differential expression and 2,913,813 known negative incidences, performance of statistical tests were: Logit-t provided 75% positive-predictive value, compared with 5% for Affymetrix Microarray Suite 5, 6% for dChip perfect match (PM)-only, and 9% for Robust Multi-array Analysis at the p < 0.01 threshold. Logit-t provided 70% sensitivity, Microarray Suite 5 provided 46%, dChip provided 53% and Robust Multi-array Analysis provided 63%.

Gene expression signatures identify novel regulatory pathways during murine lung development: implications for lung tumorigenesis

Oligonucleotide array based analysis was conducted to examine the temporal pattern of gene expression across the various stages of lung development to identify regulatory pathways at key developmental time points. Whole embryo total RNA or embryonic lung total RNA was harvested from A/J mice at seven developmental stages. To investigate changes in gene expression during lung development, four samples from each stage were examined using Affymetrix U74Av2 murine oligonucleotide microarrays. From the over 12,000 genes and ESTs represented on the array, 1346 genes and ESTs were identified as having a significant change in expression between at least one time point and the others (p<0.001, Kruskal-Wallis test). Within this group of approximately 1300 genes, four patterns of expression were seen: (1) upregulation during the embryonic period of development (up-down); (2) upregulation during the postnatal period of lung development (down-up) and (3) fluctuating expression, up initially, down for one or more time points, and then up again (up-down-up); and (4) vice versa (down-up-down). Expression patterns of genes previously reported to be involved in pulmonary development were also examined. Using the pathway visualisation tool, GenMapp, at least three regulatory pathways were found to contain clusters of differentially expressed genes: Wnt signalling, cell cycle, and apoptosis. Furthermore, we have shown that many of the genes involved in lung development are either known oncogenes or tumour suppressor genes altered in lung cancer, such as Cyr61, Rassf1a, and Dutt1/Robo1, or putative lung cancer genes. In addition, the genes identified pertinent to early development may also serve as candidate susceptibility genes for various inherited lung cancer disorders as well as for various heritable disorders of lung development. These results will contribute to our understanding of novel aspects of the regulatory machinery for embryonic lung development and of the genes involved in lung tumorigenesis.