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Array lessons from the heart: focus on the genome and transcriptome of cardiomyopathies.

Our understanding of the cardiovascular system has evolved through the years by extensive studies emphasizing the identification of the molecular and physiological mechanisms involved in its normal function and disease pathogenesis. Major discoveries have been made along the way. However, the majority of this work has focused on specific genes or pathways rather than integrative approaches. In cardiomyopathies alone, over 30 different loci have shown mutations with varying inheritance patterns, yet mostly coding for structural proteins. The emergence of microarrays in the early 1990s paved the way to a new era of cardiovascular research. Microarrays dramatically accelerated the rhythm of discoveries by giving us the ability to simultaneously study thousands of genes in a single experiment. In the field of cardiovascular research, microarrays are having a significant contribution, with the majority of work focusing on end-stage cardiomyopathies that lead to heart failure. Novel molecular mechanisms have been identified, known pathways are seen under new light, disease subgroups begin to emerge, and the effects of various drugs are molecularly dissected. This cross-study data comparison concludes that consistent energy metabolism gene expression changes occur across dilated, hypertrophic, and ischemic cardiomyopathies, while Ca2+ homeostasis changes are prominent in the first two cardiomyopathies, and structural gene expression changes accompany mostly the dilated form. Gene expression changes are further correlated to disease genetics. The future of microarrays in the cardiomyopathy field is discussed with an emphasis on optimum experimental design and on applications in diagnosis, prognosis, and drug discovery.

Calcium↗

Ultra-high-throughput microarray generation and liquid dispensing using multiple disposable piezoelectric ejectors.

The authors have constructed an array of 12 piezoelectric ejectors for printing biological materials. A single-ejector footprint is 8 mm in diameter, standing 4 mm high with 2 reservoirs totaling 76 micro L. These ejectors have been tested by dispensing various fluids in several environmental conditions. Reliable drop ejection can be expected in both humidity-controlled and ambient environments over extended periods of time and in hot and cold room temperatures. In a prototype system, 12 ejectors are arranged in a rack, together with an X - Y stage, to allow printing any pattern desired. Printed arrays of features are created with a biological solution containing bovine serum albumin conjugated oligonucleotides, dye, and salty buffer. This ejector system is designed for the ultra-high-throughput generation of arrays on a variety of surfaces. These single or racked ejectors could be used as long-term storage vessels for materials such as small molecules, nucleic acids, proteins, or cell libraries, which would allow for efficient preprogrammed selection of individual clones and greatly reduce the chance of cross-contamination and loss due to transfer. A new generation of design ideas includes plastic injection molded ejectors that are inexpensive and disposable and handheld personal pipettes for liquid transfer in the nanoliter regime.

Cell Line↗

An RNA interference model of RPS19 deficiency in Diamond-Blackfan anemia recapitulates defective hematopoiesis and rescue by dexamethasone: identification of dexamethasone-responsive genes by microarray.

Diamond-Blackfan anemia (DBA), a congenital erythroblastopenia, is a model disease for the study of erythroid differentiation but is poorly understood. RPS19 is the only gene yet to have been associated with DBA, but its relevance to erythroid differentiation is unclear. The molecular basis for the stimulation of erythropoiesis by glucocorticoids in patients with DBA has not been identified. We demonstrate that targeted degradation of the RPS19 transcript, through retroviral expression of short hairpin RNAs (shRNAs), blocks the proliferation and differentiation of erythroid progenitor cells in cultured human CD34(+) cells. Treatment of RPS19-deficient cells with dexamethasone restores erythroid differentiation to normal levels. We investigated the molecular basis of pharmacologic therapies for DBA using oligonucleotide microarrays to survey gene expression in CD34(+) cells treated with combinations of dexamethasone, erythropoietin, stem cell factor, and interleukin-3. Dexamethasone did not alter expression of RPS19 but activated a genetic program that includes a set of key hematopoietic regulatory genes. Genes specific to erythroid progenitor cells were up-regulated by dexamethasone, while genes specific to nonerythroid lineages were down-regulated. Deficiency of RPS19 therefore blocks proliferation of immature erythroid progenitor cells, and dexamethasone activates proliferation of the same cell population through mechanisms independent of RPS19.

Anemia, Diamond-Blackfan↗

Automation of gene assignments to metabolic pathways using high-throughput expression data.

BACKGROUND: Accurate assignment of genes to pathways is essential in order to understand the functional role of genes and to map the existing pathways in a given genome. Existing algorithms predict pathways by extrapolating experimental data in one organism to other organisms for which this data is not available. However, current systems classify all genes that belong to a specific EC family to all the pathways that contain the corresponding enzymatic reaction, and thus introduce ambiguity. RESULTS: Here we describe an algorithm for assignment of genes to cellular pathways that addresses this problem by selectively assigning specific genes to pathways. Our algorithm uses the set of experimentally elucidated metabolic pathways from MetaCyc, together with statistical models of enzyme families and expression data to assign genes to enzyme families and pathways by optimizing correlated co-expression, while minimizing conflicts due to shared assignments among pathways. Our algorithm also identifies alternative ("backup") genes and addresses the multi-domain nature of proteins. We apply our model to assign genes to pathways in the Yeast genome and compare the results for genes that were assigned experimentally. Our assignments are consistent with the experimentally verified assignments and reflect characteristic properties of cellular pathways. CONCLUSION: We present an algorithm for automatic assignment of genes to metabolic pathways. The algorithm utilizes expression data and reduces the ambiguity that characterizes assignments that are based only on EC numbers.

Algorithms↗

Patterns of MADS-box gene expression mark flower-type development in Gerbera hybrida (Asteraceae).

BACKGROUND: The inflorescence of the cut-flower crop Gerbera hybrida (Asteraceae) consists of two principal flower types, ray and disc, which form a tightly packed head, or capitulum. Despite great interest in plant morphological evolution and the tractability of the gerbera system, very little is known regarding genetic mechanisms involved in flower type specification. Here, we provide comparative staging of ray and disc flower development and microarray screening for differentially expressed genes, accomplished via microdissection of hundreds of coordinately developing flower primordia. RESULTS: Using a 9K gerbera cDNA microarray we identified a number of genes with putative specificity to individual flower types. Intrestingly, several of these encode homologs of MADS-box transcription factors otherwise known to regulate flower organ development. From these and previously obtained data, we hypothesize the functions and protein-protein interactions of several gerbera MADS-box factors. CONCLUSION: Our RNA expression results suggest that flower-type specific MADS protein complexes may play a central role in differential development of ray and disc flowers across the gerbera capitulum, and that some commonality is shared with known protein functions in floral organ determination. These findings support the intriguing conjecture that the gerbera flowering head is more than a mere floral analog at the level of gene regulation.

Asteraceae↗

Transforming growth factor beta-regulated gene expression in a mouse mammary gland epithelial cell line.

BACKGROUND: Transforming growth factor beta (TGF-beta) plays an essential role in a wide array of cellular processes. The most well studied TGF-beta response in normal epithelial cells is growth inhibition. In some cell types, TGF-beta induces an epithelial to mesenchymal transition (EMT). NMuMG is a nontransformed mouse mammary gland epithelial cell line that exhibits both a growth inhibitory response and an EMT response to TGF-beta, rendering NMuMG cells a good model system for studying these TGF-beta effects. METHOD: A National Institutes of Aging mouse 15,000 cDNA microarray was used to profile the gene expression of NMuMG cells treated with TGF-beta1 for 1, 6, or 24 hours. Data analyses were performed using GenePixPro and GeneSpring software. Selected microarray results were verified by northern analyses. RESULTS: Of the 15,000 genes examined by microarray, 939 were upregulated or downregulated by TGF-beta. This represents approximately 10% of the genes examined, minus redundancy. Seven genes previously not known to be regulated by TGF-beta at the transcriptional level (Akt and RhoB) or not at all (IQGAP1, mCalpain, actinin alpha3, Ikki, PP2A-PR53), were identified and their regulation by TGF-beta verified by northern blotting. Cell cycle pathway examination demonstrated downregulation of cyclin D2, c-myc, Id2, p107, E2F5, cyclin A, cyclin B, and cyclin H. Examination of cell adhesion-related genes revealed upregulation of c-Jun, alpha-actinin, actin, myosin light chain, p120cas catenin (Catns), alpha-integrin, integrin beta5, fibronectin, IQGAP1, and mCalpain. CONCLUSION: Using a cDNA microarray to examine TGF-beta-regulated gene expression in NMuMG cells, we have shown regulation of multiple genes that play important roles in cell cycle control and EMT. In addition, we have identified several novel TGF-beta-regulated genes that may mediate previously unknown TGF-beta functions.

Animals↗

Accessing and distributing EMBL data using CORBA (common object request broker architecture).

BACKGROUND: The EMBL Nucleotide Sequence Database is a comprehensive database of DNA and RNA sequences and related information traditionally made available in flat-file format. Queries through tools such as SRS (Sequence Retrieval System) also return data in flat-file format. Flat files have a number of shortcomings, however, and the resources therefore currently lack a flexible environment to meet individual researchers' needs. The Object Management Group's common object request broker architecture (CORBA) is an industry standard that provides platform-independent programming interfaces and models for portable distributed object-oriented computing applications. Its independence from programming languages, computing platforms and network protocols makes it attractive for developing new applications for querying and distributing biological data. RESULTS: A CORBA infrastructure developed by EMBL-EBI provides an efficient means of accessing and distributing EMBL data. The EMBL object model is defined such that it provides a basis for specifying interfaces in interface definition language (IDL) and thus for developing the CORBA servers. The mapping from the object model to the relational schema in the underlying Oracle database uses the facilities provided by PersistenceTM, an object/relational tool. The techniques of developing loaders and 'live object caching' with persistent objects achieve a smart live object cache where objects are created on demand. The objects are managed by an evictor pattern mechanism. CONCLUSIONS: The CORBA interfaces to the EMBL database address some of the problems of traditional flat-file formats and provide an efficient means for accessing and distributing EMBL data. CORBA also provides a flexible environment for users to develop their applications by building clients to our CORBA servers, which can be integrated into existing systems.

Computational Biology↗

Genome interdependence in insect-bacterium symbioses.

Symbioses between unicellular and multicellular organisms have contributed significantly to the evolution of life on Earth. As exemplified by several studies of bacterium-insect symbioses, modern genomic techniques are providing exciting new information about the molecular basis and the biological roles of these complex relationships, revealing for instance that symbionts have lost many genes for functions that are provided by the host, but that they can provide amino acids that the host cannot synthesize.

Animals↗

Design and implementation of microarray gene expression markup language (MAGE-ML).

BACKGROUND: Meaningful exchange of microarray data is currently difficult because it is rare that published data provide sufficient information depth or are even in the same format from one publication to another. Only when data can be easily exchanged will the entire biological community be able to derive the full benefit from such microarray studies. RESULTS: To this end we have developed three key ingredients towards standardizing the storage and exchange of microarray data. First, we have created a minimal information for the annotation of a microarray experiment (MIAME)-compliant conceptualization of microarray experiments modeled using the unified modeling language (UML) named MAGE-OM (microarray gene expression object model). Second, we have translated MAGE-OM into an XML-based data format, MAGE-ML, to facilitate the exchange of data. Third, some of us are now using MAGE (or its progenitors) in data production settings. Finally, we have developed a freely available software tool kit (MAGE-STK) that eases the integration of MAGE-ML into end users' systems. CONCLUSIONS: MAGE will help microarray data producers and users to exchange information by providing a common platform for data exchange, and MAGE-STK will make the adoption of MAGE easier.

Computer Simulation↗

A computational approach for identifying pseudogenes in the ENCODE regions.

BACKGROUND: Pseudogenes are inheritable genetic elements showing sequence similarity to functional genes but with deleterious mutations. We describe a computational pipeline for identifying them, which in contrast to previous work explicitly uses intron-exon structure in parent genes to classify pseudogenes. We require alignments between duplicated pseudogenes and their parents to span intron-exon junctions, and this can be used to distinguish between true duplicated and processed pseudogenes (with insertions). RESULTS: Applying our approach to the ENCODE regions, we identify about 160 pseudogenes, 10% of which have clear 'intron-exon' structure and are thus likely generated from recent duplications. CONCLUSION: Detailed examination of our results and comparison of our annotation with the GENCODE reference annotation demonstrate that our computation pipeline provides a good balance between identifying all pseudogenes and delineating the precise structure of duplicated genes.

Computational Biology↗

DNA microarray wet lab simulation brings genomics into the high school curriculum.

We have developed a wet lab DNA microarray simulation as part of a complete DNA microarray module for high school students. The wet lab simulation has been field tested with high school students in Illinois and Maryland as well as in workshops with high school teachers from across the nation. Instead of using DNA, our simulation is based on pH indicators, which offer many ideal teaching characteristics. The simulation requires no specialized equipment, is very inexpensive, is very reliable, and takes very little preparation time. Student and teacher assessment data indicate the simulation is popular with both groups, and students show significant learning gains. We include many resources with this publication, including all prelab introductory materials (e.g., a paper microarray activity), the student handouts, teachers notes, and pre- and postassessment tools. We did not test the simulation on other student populations, but based on teacher feedback, the simulation also may fit well in community college and in introductory and nonmajors' college biology curricula.

Curriculum↗

Ccr4 contributes to tolerance of replication stress through control of CRT1 mRNA poly(A) tail length.

In Saccharomyces cerevisiae, DNA replication stress activates the replication checkpoint, which slows S-phase progression, stabilizes slowed or stalled replication forks, and relieves inhibition of the ribonucleotide reductase (RNR) complex. To identify novel genes that promote cellular viability after replication stress, the S. cerevisiae non-essential haploid gene deletion set (4812 strains) was screened for sensitivity to the RNR inhibitor hydroxyurea (HU). Strains bearing deletions in either CCR4 or CAF1/POP2, which encode components of the cytoplasmic mRNA deadenylase complex, were particularly sensitive to HU. We found that Ccr4 cooperated with the Dun1 branch of the replication checkpoint, such that ccr4Delta dun1Delta strains exhibited irreversible hypersensitivity to HU and persistent activation of Rad53. Moreover, because ccr4Delta and chk1Delta exhibited epistasis in several genetic contexts, we infer that Ccr4 and Chk1 act in the same pathway to overcome replication stress. A counterscreen for suppressors of ccr4Delta HU sensitivity uncovered mutations in CRT1, which encodes the transcriptional repressor of the DNA-damage-induced gene regulon. Whereas Dun1 is known to inhibit Crt1 repressor activity, we found that Ccr4 regulates CRT1 mRNA poly(A) tail length and may subtly influence Crt1 protein abundance. Simultaneous overexpression of RNR2, RNR3 and RNR4 partially rescued the HU hypersensitivity of a ccr4Delta dun1Delta strain, consistent with the notion that the RNR genes are key targets of Crt1. These results implicate the coordinated regulation of Crt1 via Ccr4 and Dun1 as a crucial nodal point in the response to DNA replication stress.

Cell Cycle Proteins↗

Exposure to the herbicide acetochlor alters thyroid hormone-dependent gene expression and metamorphosis in Xenopus Laevis.

A growing number of substances released into the environment disrupt normal endocrine mechanisms in a wide range of vertebrates. Little is known about the effects and identities of endocrine-disrupting chemicals (EDCs) that target thyroid hormone (TH) action, particularly at the cellular level. Frog tadpole metamorphosis depends completely on TH, which has led to the suggestion of a metamorphosis-based assay for screening potential EDCs. A major mechanism of TH action is the alteration of gene expression via hormone-bound nuclear receptors. To assess the gene expression profiles in the frog model, we designed a novel multispecies frog cDNA microarray. Recently, the preemergent herbicide acetochlor was shown to accelerate 3,5,3 -triiodothyronine (T3)-induced forelimb emergence and increase mRNA expression of thyroid hormone ss receptors in ranid tadpoles. Here we show that T3-induced metamorphosis of Xenopus laevis, a species commonly used in the laboratory, is accelerated upon acute exposure to an environmentally relevant level of acetochlor. The morphologic changes observed are preceded by alterations in gene expression profiles detected in the tadpole tail, and the nature of these profiles suggest a novel mechanism of action for acetochlor.

Animals↗

The effects of 1alpha,25-dihydroxyvitamin D3 on the expression of DNA replication genes.

UNLABELLED: To identify key genes in the antiproliferative action of 1,25(OH)2D3, MC3T3-E1 mouse osteoblasts were subjected to cDNA microarray analyses. Eleven E2F-driven DNA replication genes were downregulated by 1,25(OH)2D3. These results were confirmed by quantitative RT-PCR in different cell types, showing the general nature of this action of 1,25(OH)2D3. INTRODUCTION: 1Alpha,25-dihydroxyvitamin D3 [1,25(OH)2D3] has a potent antiproliferative action characterized by a blocked transition from the G1- to the S-phase of the cell cycle. This study aims to identify genes whose expression is markedly altered after 1,25(OH)2D3 treatment in parallel with or preceding the observed G1-arrest. MATERIALS AND METHODS: The cDNA microarray technique was used, and the expression of approximately 4600 genes in MC3T3-E1 mouse osteoblasts was studied 6 and 12 h after treatment with 10(-8) M 1,25(OH)2D3. Quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) analyses were performed on MC3T3-E1 cells and on wildtype and vitamin D receptor (VDR) knockout primary murine epidermal keratinocytes (VDRwt MEKs, VDR-/- MEKs) and murine mammary tumor cells (GR) to confirm the microarray data. RESULTS AND CONCLUSIONS: After 12 h of treatment, in parallel with the 1,25(OH)2D3-induced G1 arrest, a particular set of DNA replication genes including a cell division cycle 6 homolog, a DNA polymerase alpha subunit, proliferating cell nuclear antigen, two DNA polymerase delta subunits, and flap-structure specific endonuclease 1, was downregulated at least 2-fold. These genes are known targets of the E2F family of transcription factors, which are probably the central mediators of this action of 1,25(OH)2D3. Indeed, as shown by transfection assays with an E2F reporter construct, 12- and 24-h treatment of MC3T3-E1 cells with 1,25(OH)2D3 reduced E2F activity by 49% and 73%, respectively. Quantitative RT-PCR analyses confirmed the downregulation of these DNA replication genes by 1,25(OH)2D3 in MC3T3-E1, GR, and VDRwt MEKs cells, but not in VDR-/- MEKs cells, showing that this 1,25(OH)2D3-driven antiproliferative action is of a general nature and depends on a functional VDR.

3T3 Cells↗

Interdependency of brassinosteroid and auxin signaling in Arabidopsis.

How growth regulators provoke context-specific signals is a fundamental question in developmental biology. In plants, both auxin and brassinosteroids (BRs) promote cell expansion, and it was thought that they activated this process through independent mechanisms. In this work, we describe a shared auxin:BR pathway required for seedling growth. Genetic, physiological, and genomic analyses demonstrate that response from one pathway requires the function of the other, and that this interdependence does not act at the level of hormone biosynthetic control. Increased auxin levels saturate the BR-stimulated growth response and greatly reduce BR effects on gene expression. Integration of these two pathways is downstream from BES1 and Aux/IAA proteins, the last known regulatory factors acting downstream of each hormone, and is likely to occur directly on the promoters of auxin:BR target genes. We have developed a new approach to identify potential regulatory elements acting in each hormone pathway, as well as in the shared auxin:BR pathway. We show that one element highly overrepresented in the promoters of auxin- and BR-induced genes is responsive to both hormones and requires BR biosynthesis for normal expression. This work fundamentally alters our view of BR and auxin signaling and describes a powerful new approach to identify regulatory elements required for response to specific stimuli.

Amino Acid Motifs↗