Showing papers on "Functional genomics published in 2011"

Functional genomics reveals a bmp driven mesenchymal-to-epithelial transition in the initiation of somatic cell reprogramming (oral presentation)

Abstract: Somatic cells can be reprogrammed to induced pluripotent stem cells (iPSCs) by expression of defined embryonic factors. However, little is known of the molecular mechanisms underlying the reprogramming process. Here we explore somatic cell reprogramming by exploiting a secondary mouse embryonic fibroblast model that forms iPSCs with high efficiency upon inducible expression of Oct4, Klf4, c-Myc, and Sox2. Temporal analysis of gene expression revealed that reprogramming is a multistep process that is characterized by initiation, maturation, and stabilization phases. Functional analysis by systematic RNAi screening further uncovered a key role for BMP signaling and the induction of mesenchymal-to-epithelial transition (MET) during the initiation phase. We show that this is linked to BMP-dependent induction of miR-205 and the miR-200 family of microRNAs that are key regulators of MET. These studies thus define a multistep mechanism that incorporates a BMP-miRNA-MET axis during somatic cell reprogramming. PAPERCLIP:

Comparative functional genomics of the fission yeasts

Abstract: The fission yeast clade--comprising Schizosaccharomyces pombe, S. octosporus, S. cryophilus, and S. japonicus--occupies the basal branch of Ascomycete fungi and is an important model of eukaryote biology. A comparative annotation of these genomes identified a near extinction of transposons and the associated innovation of transposon-free centromeres. Expression analysis established that meiotic genes are subject to antisense transcription during vegetative growth, which suggests a mechanism for their tight regulation. In addition, trans-acting regulators control new genes within the context of expanded functional modules for meiosis and stress response. Differences in gene content and regulation also explain why, unlike the budding yeast of Saccharomycotina, fission yeasts cannot use ethanol as a primary carbon source. These analyses elucidate the genome structure and gene regulation of fission yeast and provide tools for investigation across the Schizosaccharomyces clade.

Knockdown of midgut genes by dsRNA-transgenic plant-mediated RNA interference in the hemipteran insect Nilaparvata lugens.

Abstract: Background RNA interference (RNAi) is a powerful technique for functional genomics research in insects. Transgenic plants producing double-stranded RNA (dsRNA) directed against insect genes have been reported for lepidopteran and coleopteran insects, showing potential for field-level control of insect pests, but this has not been reported for other insect orders. Methodology/Principal Findings The Hemipteran insect brown planthopper (Nilaparvata lugens Stal) is a typical phloem sap feeder specific to rice (Oryza sativa L.). To analyze the potential of exploiting RNAi-mediated effects in this insect, we identified genes (Nlsid-1 and Nlaub) encoding proteins that might be involved in the RNAi pathway in N. lugens. Both genes are expressed ubiquitously in nymphs and adult insects. Three genes (the hexose transporter gene NlHT1, the carboxypeptidase gene Nlcar and the trypsin-like serine protease gene Nltry) that are highly expressed in the N. lugens midgut were isolated and used to develop dsRNA constructs for transforming rice. RNA blot analysis showed that the dsRNAs were transcribed and some of them were processed to siRNAs in the transgenic lines. When nymphs were fed on rice plants expressing dsRNA, levels of transcripts of the targeted genes in the midgut were reduced; however, lethal phenotypic effects after dsRNA feeding were not observed. Conclusions Our study shows that genes for the RNAi pathway (Nlsid-1 and Nlaub) are present in N. lugens. When insects were fed on rice plant materials expressing dsRNAs, RNA interference was triggered and the target genes transcript levels were suppressed. The gene knockdown technique described here may prove to be a valuable tool for further investigations in N. lugens. The results demonstrate the potential of dsRNA-mediated RNAi for field-level control of planthoppers, but appropriate target genes must be selected when designing the dsRNA-transgenic plants.

Foxp2 regulates gene networks implicated in neurite outgrowth in the developing brain.

Abstract: Forkhead-box protein P2 is a transcription factor that has been associated with intriguing aspects of cognitive function in humans, non-human mammals, and song-learning birds. Heterozygous mutations of the human FOXP2 gene cause a monogenic speech and language disorder. Reduced functional dosage of the mouse version (Foxp2) causes deficient cortico-striatal synaptic plasticity and impairs motor-skill learning. Moreover, the songbird orthologue appears critically important for vocal learning. Across diverse vertebrate species, this well-conserved transcription factor is highly expressed in the developing and adult central nervous system. Very little is known about the mechanisms regulated by Foxp2 during brain development. We used an integrated functional genomics strategy to robustly define Foxp2-dependent pathways, both direct and indirect targets, in the embryonic brain. Specifically, we performed genome-wide in vivo ChIP-chip screens for Foxp2-binding and thereby identified a set of 264 high-confidence neural targets under strict, empirically derived significance thresholds. The findings, coupled to expression profiling and in situ hybridization of brain tissue from wild-type and mutant mouse embryos, strongly highlighted gene networks linked to neurite development. We followed up our genomics data with functional experiments, showing that Foxp2 impacts on neurite outgrowth in primary neurons and in neuronal cell models. Our data indicate that Foxp2 modulates neuronal network formation, by directly and indirectly regulating mRNAs involved in the development and plasticity of neuronal connections.

Comparative deep transcriptional profiling of four developing oilseeds

Abstract: Transcriptome analysis based on deep expressed sequence tag (EST) sequencing allows quantitative comparisons of gene expression across multiple species. Using pyrosequencing, we generated over 7 million ESTs from four stages of developing seeds of Ricinus communis, Brassica napus, Euonymus alatus and Tropaeolum majus, which differ in their storage tissue for oil, their ability to photosynthesize and in the structure and content of their triacylglycerols (TAG). The larger number of ESTs in these 16 datasets provided reliable estimates of the expression of acyltransferases and other enzymes expressed at low levels. Analysis of EST levels from these oilseeds revealed both conserved and distinct species-specific expression patterns for genes involved in the synthesis of glycerolipids and their precursors. Independent of the species and tissue type, ESTs for core fatty acid synthesis enzymes maintained a conserved stoichiometry and a strong correlation in temporal profiles throughout seed development. However, ESTs associated with non-plastid enzymes of oil biosynthesis displayed dissimilar temporal patterns indicative of different regulation. The EST levels for several genes potentially involved in accumulation of unusual TAG structures were distinct. Comparison of expression of members from multi-gene families allowed the identification of specific isoforms with conserved function in oil biosynthesis. In all four oilseeds, ESTs for Rubisco were present, suggesting its possible role in carbon metabolism, irrespective of light availability. Together, these data provide a resource for use in comparative and functional genomics of diverse oilseeds. Expression data for more than 350 genes encoding enzymes and proteins involved in lipid metabolism are available at the 'ARALIP' website (http://aralip.plantbiology.msu.edu/).

A High Throughput Barley Stripe Mosaic Virus Vector for Virus Induced Gene Silencing in Monocots and Dicots

Abstract: Barley stripe mosaic virus (BSMV) is a single-stranded RNA virus with three genome components designated alpha, beta, and gamma. BSMV vectors have previously been shown to be efficient virus induced gene silencing (VIGS) vehicles in barley and wheat and have provided important information about host genes functioning during pathogenesis as well as various aspects of genes functioning in development. To permit more effective use of BSMV VIGS for functional genomics experiments, we have developed an Agrobacterium delivery system for BSMV and have coupled this with a ligation independent cloning (LIC) strategy to mediate efficient cloning of host genes. Infiltrated Nicotiana benthamiana leaves provided excellent sources of virus for secondary BSMV infections and VIGS in cereals. The Agro/LIC BSMV VIGS vectors were able to function in high efficiency down regulation of phytoene desaturase (PDS), magnesium chelatase subunit H (ChlH), and plastid transketolase (TK) gene silencing in N. benthamiana and in the monocots, wheat, barley, and the model grass, Brachypodium distachyon. Suppression of an Arabidopsis orthologue cloned from wheat (TaPMR5) also interfered with wheat powdery mildew (Blumeria graminis f. sp. tritici) infections in a manner similar to that of the A. thaliana PMR5 loss-of-function allele. These results imply that the PMR5 gene has maintained similar functions across monocot and dicot families. Our BSMV VIGS system provides substantial advantages in expense, cloning efficiency, ease of manipulation and ability to apply VIGS for high throughput genomics studies.

Discriminative prediction of mammalian enhancers from DNA sequence

Abstract: Enhancers are gene regulatory sequences that can control transcriptional activities at a distance, independent of their position and orientation with respect to affected genes (Banerji 1981). Enhancer activity is modulated by interactions between sequence specific DNA binding proteins and sequence elements in the enhancer. Since individual transcription factor binding sites (TFBSs) can be relatively short and degenerate, TFBSs tend to be clustered to achieve precise temporal and developmental specificity (Kadonaga 2004). Factors bound to these sequences often interact with common coactivators, which, in turn, recruit the basal transcription machinery (Blackwood and Kadonaga 1998; Carter et al. 2002). Identifying the sequence elements and the combinatorial rules that determine enhancer function is necessary to fully understand how enhancers direct the spatial and temporal regulation of gene expression. Experimentally identified enhancers with similar functions can be a good starting point for in-depth study of the underlying rules encoded in the regulatory DNA sequence. However, the systematic functional identification of such enhancers has been limited due to the fact that they are often distant from the genes they regulate, requiring the interrogation of large amounts of potential regulatory sequence. Most investigations make use of two complementary approaches to detect putative regulatory regions: comparative genomics, which identifies enhancers by their sequence conservation across related species; and functional genomics, which identifies enhancers by the common binding of transcriptionally associated factors or marks (for review, see Noonan and McCallion 2010). Comparative genomics is based on the generally accepted hypothesis that functionally important regulatory sequences are under purifying selection. As a result, conserved noncoding sequences (CNSs) are natural candidates for putative enhancers. Early studies used CNSs to detect putative enhancers and test their activity in zebrafish or mouse reporter assays (Woolfe et al. 2004; Pennacchio et al. 2006; Visel et al. 2008). Although these conservation-based approaches achieve some success, limitations also exist. The function and spatio-temporal specificity of CNSs cannot be determined by conservation alone and, therefore, requires additional experimentation. More importantly, several studies have shown that noncoding sequences that apparently lack conservation (as assessed by sequence alignment) may still contain functional regulatory elements (Fisher et al. 2006; ENCODE Project Consortium 2007; McGaughey et al. 2008). Functional genomics is an experimentally driven approach that utilizes recently developed techniques of microarray hybridization or massively parallel sequencing in combination with chromatin immunoprecipitation (ChIP) on specific transcription factors (Johnson et al. 2007; Robertson et al. 2007), chromatin signatures (Heintzman et al. 2007, 2009), or coactivators (Visel et al. 2009; Kim et al. 2010). Specifically, some chromatin signatures or coactivator association (such as monomethylation of lysine 4 of histone H3, acetylation of lysine 27 of histone H3, and binding by coactivators EP300/CREBBP) are predictive markers of enhancer activity (Heintzman et al. 2007, 2009). The transcriptional coactivators EP300 (also known as P300) and CREBBP (also known as CBP) have proven to be useful for enhancer identification because of their general roles as cofactors in mammalian transcription. Through highly conserved protein-protein interactions, EP300/CREBBP are hypothesized to operate as coactivators in at least three ways: as a direct bridge between sequence-specific transcription factors (TFs) and RNA Polymerase II, as an indirect bridge between sequence specific TFs and other coactivators which recruit RNA Pol II, or by modifying chromatin structure via intrinsic acetyl-transferase activity (Chan and La Thangue 2001). Several studies have reported genome-wide mapping of EP300/CREBBP-bound enhancers in different contexts, for example, tissue-specific activity in dissected mouse tissue (Visel et al. 2009) and environment-dependent activity in neurons (Kim et al. 2010). Visel et al. validated that 90% of the EP300 enhancers tested recapitulated the expected spatial and temporal activity in vivo in a transgenic mouse enhancer assay. Functionally identified EP300-bound regions thus provide a robust starting point for further investigation of enhancers and their sequence properties. In principle, a complete understanding of enhancer mechanism would include a description of specific internal sequence features and how they contribute to enhancer function. Previous studies that have attempted to predict enhancers from sequence have typically used sequence conservation, colocalization of previously characterized TFBSs [from databases such as TRANSFAC (Matys et al. 2003) or JASPAR (Bryne et al. 2008)], or a combination of the two. Many of these existing approaches were assessed by Su et al. (2010), who found that some were successful in identifying enhancers in Drosophila but that few generalized to mammalian systems. The most successful method in mammalian enhancer prediction used a combination of conservation and low-order Markov models of sequence features (Elnitski et al. 2003; King et al. 2005). In more recent work, Leung and Eisen (2009) used word frequency profile similarity between pairs of sequences to detect novel enhancers, but training on small numbers of enhancers can be susceptible to noise. Another notable recent computational approach uses combinations of known TFBSs and de novo position weight matrices (PWMs) to detect enhancers (Narlikar et al. 2010). In this paper, we present a discriminative computational framework to detect enhancers from DNA sequence alone that does not rely on conservation or known TF binding specificities. We use a support vector machine (SVM) to differentiate enhancers from nonfunctional regions, using DNA sequence elements as features. SVMs (Boser et al. 1992; Vapnik 1995) have been successfully applied in many biological contexts (for review, see Scholkopf et al. 2004; Ben-Hur et al. 2008): cancer tissue classification (Furey et al. 2000); protein domain classification (Karchin et al. 2002; Leslie et al. 2002, 2004); splice site prediction (Ratsch et al. 2005; Sonnenburg et al. 2007); and nucleosome positioning (Peckham et al. 2007). In our case, because of the potentially diverse mechanisms which direct EP300 and CREBBP binding, we use a complete set of DNA sequence features to capture combinations of binding sites active in different tissues and times of development. To study these distinct modes of regulation, we investigate EP300/CREBBP binding in mouse embryos (Visel et al. 2009), activated cultured neurons (Kim et al. 2010), and embryonic stem (ES) cells (Chen et al. 2008). Our analysis will initially focus on Visel's data set, where several thousands of EP300-bound DNA elements were collected by ChIP-seq in dissected mouse embryo forebrain, midbrain, and limb. We evaluate our method by predicting enhancers vs. random sequence and between EP300/CREBBP ChIP-seq data sets. These comparisons reveal a diversity of predictive sequence features, both within and across data sets. Supplemental Table S1 provides an outline of the analyses performed in this paper. We show that sequence features in the experimentally identified enhancer set are sufficient to accurately discriminate enhancers from random genomic regions. We also show that the most predictive sequence elements are related to biologically relevant transcription factor binding sites. Notably, our method also finds that some sequence elements are significantly absent in the enhancers (those with large negative SVM weights). For example, we find that binding sites for the zinc finger E-box binding homeobox (ZEB) transcription factor family is depleted in the forebrain enhancers, consistent with its biological role as a transcriptional repressor (Vandewalle et al. 2008). In addition, we provide evidence that enriched sequence elements are positionally constrained within the enhancers and that they are more evolutionarily conserved than less predictive elements in the enhancers, reflecting the combinatorial structure of tissue-specific enhancers. We further apply our SVM method to predict putative enhancers in both the mouse genome and the human genome from DNA sequence alone. Many of these novel enhancers overlap with regions enriched in EP300 ChIP-seq reads, exhibit greatly increased hypersensitivity to DNase I in the mouse brain, and are proximal to biologically relevant genes. All of these assessments exclude the original EP300 training set enhancers from the analysis. The successful identification of tissue-specific DNase I hypersensitive sites provides powerful independent evidence for the validity of our approach.

Fueling the future with fungal genomics

Abstract: Genomes of fungi relevant to energy and environment are in focus of the JGI Fungal Genomic Program. One of its projects, the Genomics Encyclopedia of Fungi, targets fungi related to plant health (symbionts and pathogens) and biorefinery processes (cellulose degradation and sugar fermentation) by means of genome sequencing and analysis. New chapters of the Encyclopedia can be opened with user proposals to the JGI Community Science Program (CSP). Another JGI project, the 1000 fungal genomes, explores fungal diversity on genome level at scale and is open for users to nominate new species for sequencing. Over 400 fungal genomes have been sequenced by JGI to date and released through MycoCosm (www.jgi.doe.gov/fungi), a fungal web-portal, which integrates sequence and functional data with genome analysis tools for user community. Sequence analysis supported by functional genomics will lead to developing parts list for complex systems ranging from ecosystems of biofuel crops to biorefineries. Recent examples of such ‘parts’ suggested by comparative genomics and functional analysis in these areas are presented here.

Multiparameter RNA and codon optimization: a standardized tool to assess and enhance autologous mammalian gene expression.

Abstract: Autologous expression of recombinant human proteins in human cells for biomedical research and product development is often hampered by low expression yields limiting subsequent structural and functional analyses. Following RNA and codon optimization, 50 candidate genes representing five classes of human proteins--transcription factors, ribosomal and polymerase subunits, protein kinases, membrane proteins and immunomodulators--all showed reliable, and 86% even elevated expression. Analysis of three representative examples showed no detrimental effect on protein solubility while unaltered functionality was demonstrated for JNK1, JNK3 and CDC2 using optimized constructs. Molecular analysis of a sequence-optimized transgene revealed positive effects at transcriptional, translational, and mRNA stability levels. Since improved expression was consistent in HEK293T, CHO and insect cells, it was not restricted to distinct mammalian cell systems. Additionally, optimized genes represent powerful tools in functional genomics, as demonstrated by the successful rescue of an siRNA-mediated knockdown using a sequence-optimized counterpart. This is the first large-scale study addressing the influence of multiparameter optimization on autologous human protein expression.

Rnnotator: an automated de novo transcriptome assembly pipeline from stranded RNA-Seq reads

Abstract: Background: Comprehensive annotation and quantification of transcriptomes are outstanding problems in functional genomics. While high throughput mRNA sequencing (RNA-Seq) has emerged as a powerful tool for addressing these problems, its success is dependent upon the availability and quality of reference genome sequences, thus limiting the organisms to which it can be applied. Results: Here, we describe Rnnotator, an automated software pipeline that generates transcript models by de novo assembly of RNA-Seq data without the need for a reference genome. We have applied the Rnnotator assembly pipeline to two yeast transcriptomes and compared the results to the reference gene catalogs of these organisms. The contigs produced by Rnnotator are highly accurate (95percent) and reconstruct full-length genes for the majority of the existing gene models (54.3percent). Furthermore, our analyses revealed many novel transcribed regions that are absent from well annotated genomes, suggesting Rnnotator serves as a complementary approach to analysis based on a reference genome for comprehensive transcriptomics. Conclusions: These results demonstrate that the Rnnotator pipeline is able to reconstruct full-length transcripts in the absence of a complete reference genome.

Anion Channels/Transporters in Plants: From Molecular Bases to Regulatory Networks

Abstract: Anion channels/transporters are key to a wide spectrum of physiological functions in plants, such as osmoregulation, cell signaling, plant nutrition and compartmentalization of metabolites, and metal tolerance. The recent identification of gene families encoding some of these transport systems opened the way for gene expression studies, structure-function analyses of the corresponding proteins, and functional genomics approaches toward further understanding of their integrated roles in planta. This review, based on a few selected examples, illustrates that the members of a given gene family exhibit a diversity of substrate specificity, regulation, and intracellular localization, and are involved in a wide range of physiological functions. It also shows that post-translational modifications of transport proteins play a key role in the regulation of anion transport activity. Key questions arising from the increasing complexity of networks controlling anion transport in plant cells (the existence of redundancy, cross talk, and coordination between various pathways and compartments) are also addressed.

Phenotypic and genomic analyses of a fast neutron mutant population resource in soybean

Abstract: Mutagenized populations have become indispensable resources for introducing variation and studying gene function in plant genomics research. In this study, fast neutron (FN) radiation was used to induce deletion mutations in the soybean (Glycine max) genome. Approximately 120,000 soybean seeds were exposed to FN radiation doses of up to 32 Gray units to develop over 23,000 independent M2 lines. Here, we demonstrate the utility of this population for phenotypic screening and associated genomic characterization of striking and agronomically important traits. Plant variation was cataloged for seed composition, maturity, morphology, pigmentation, and nodulation traits. Mutants that showed significant increases or decreases in seed protein and oil content across multiple generations and environments were identified. The application of comparative genomic hybridization (CGH) to lesion-induced mutants for deletion mapping was validated on a midoleate x-ray mutant, M23, with a known FAD2-1A (for fatty acid desaturase) gene deletion. Using CGH, a subset of mutants was characterized, revealing deletion regions and candidate genes associated with phenotypes of interest. Exome resequencing and sequencing of PCR products confirmed FN-induced deletions detected by CGH. Beyond characterization of soybean FN mutants, this study demonstrates the utility of CGH, exome sequence capture, and next-generation sequencing approaches for analyses of mutant plant genomes. We present this FN mutant soybean population as a valuable public resource for future genetic screens and functional genomics research.

Fungal Gene Expression on Demand: an Inducible, Tunable, and Metabolism-Independent Expression System for Aspergillus niger

Abstract: Filamentous fungi are the cause of serious human and plant diseases but are also exploited in biotechnology as production platforms. Comparative genomics has documented their genetic diversity, and functional genomics and systems biology approaches are under way to understand the functions and interaction of fungal genes and proteins. In these approaches, gene functions are usually inferred from deletion or overexpression mutants. However, studies at these extreme points give only limited information. Moreover, many overexpression studies use metabolism-dependent promoters, often causing pleiotropic effects and thus limitations in their significance. We therefore established and systematically evaluated a tunable expression system for Aspergillus niger that is independent of carbon and nitrogen metabolism and silent under noninduced conditions. The system consists of two expression modules jointly targeted to a defined genomic locus. One module ensures constitutive expression of the tetracycline-dependent transactivator rtTA2S-M2, and one module harbors the rtTA2S-M2-dependent promoter that controls expression of the gene of interest (the Tet-on system). We show here that the system is tight, responds within minutes after inducer addition, and allows fine-tuning based on the inducer concentration or gene copy number up to expression levels higher than the expression levels of the gpdA promoter. We also validate the Tet-on system for the generation of conditional overexpression mutants and demonstrate its power when combined with a gene deletion approach. Finally, we show that the system is especially suitable when the functions of essential genes must be examined.

PRIN: a predicted rice interactome network

Abstract: Protein-protein interactions play a fundamental role in elucidating the molecular mechanisms of biomolecular function, signal transductions and metabolic pathways of living organisms. Although high-throughput technologies such as yeast two-hybrid system and affinity purification followed by mass spectrometry are widely used in model organisms, the progress of protein-protein interactions detection in plants is rather slow. With this motivation, our work presents a computational approach to predict protein-protein interactions in Oryza sativa. To better understand the interactions of proteins in Oryza sativa, we have developed PRIN, a Predicted Rice Interactome Network. Protein-protein interaction data of PRIN are based on the interologs of six model organisms where large-scale protein-protein interaction experiments have been applied: yeast (Saccharomyces cerevisiae), worm (Caenorhabditis elegans), fruit fly (Drosophila melanogaster), human (Homo sapiens), Escherichia coli K12 and Arabidopsis thaliana. With certain quality controls, altogether we obtained 76,585 non-redundant rice protein interaction pairs among 5,049 rice proteins. Further analysis showed that the topology properties of predicted rice protein interaction network are more similar to yeast than to the other 5 organisms. This may not be surprising as the interologs based on yeast contribute nearly 74% of total interactions. In addition, GO annotation, subcellular localization information and gene expression data are also mapped to our network for validation. Finally, a user-friendly web interface was developed to offer convenient database search and network visualization. PRIN is the first well annotated protein interaction database for the important model plant Oryza sativa. It has greatly extended the current available protein-protein interaction data of rice with a computational approach, which will certainly provide further insights into rice functional genomics and systems biology. PRIN is available online at http://bis.zju.edu.cn/prin/ .

Expression of genes in cyanobacteria: adaptation of endogenous plasmids as platforms for high-level gene expression in Synechococcus sp. PCC 7002.

Abstract: Synechococcus sp. PCC 7002 is an ideal model cyanobacterium for functional genomics and biotechnological applications through metabolic engineering. A gene expression system that takes advantage of its multiple, endogenous plasmids has been constructed in this cyanobacterium. The method involves the integration of foreign DNA cassettes with selectable markers into neutral sites that can be located on any of the several endogenous plasmids of this organism. We have exploited the natural transformability and powerful homologous recombination capacity of this organism by using linear DNA fragments for transformation. This approach overcomes barriers that have made the introduction and expression of foreign genes problematic in the past. Foremost among these is the natural restriction endonuclease barrier that can cleave transforming circular plasmid DNAs before they can be replicated in the cell. We describe herein the general methodology for expressing foreign and homologous genes in Synechococcus sp. PCC 7002, a comparison of several commonly used promoters, and provide examples of how this approach has successfully been used in complementation analyses and overproduction of proteins with affinity tags.

Applications of myeloid-specific promoters in transgenic mice support in vivo imaging and functional genomics but do not support the concept of distinct macrophage and dendritic cell lineages or roles in immunity.

Abstract: Myeloid lineage cells contribute to innate and acquired immunity, homeostasis, wound repair, and inflammation. There is considerable interest in manipulation of their function in transgenic mice using myeloid-specific promoters. This review considers the applications and specificity of some of the most widely studied transgenes, driven by promoter elements of the lysM, csf1r, CD11c, CD68, macrophage SRA, and CD11b genes, as well as several others. Transgenes have been used in mice to generate myeloid lineage-specific cell ablation, expression of genes of interest, including fluorescent reporters, or deletion via recombination. In general, the specificity of such transgenes has been overinterpreted, and none of them provide well-documented, reliable, differential expression in any specific myeloid cell subset, macrophages, granulocytes, or myeloid DCs. Nevertheless, they have proved valuable in cell isolation, functional genomics, and live imaging of myeloid cell behavior in many different pathologies.

Field transcriptome revealed critical developmental and physiological transitions involved in the expression of growth potential in japonica rice

Abstract: Plant growth depends on synergistic interactions between internal and external signals, and yield potential of crops is a manifestation of how these complex factors interact, particularly at critical stages of development. As an initial step towards developing a systems-level understanding of the biological processes underlying the expression of overall agronomic potential in cereal crops, a high-resolution transcriptome analysis of rice was conducted throughout life cycle of rice grown under natural field conditions. A wide range of gene expression profiles based on 48 organs and tissues at various developmental stages identified 731 organ/tissue specific genes as well as 215 growth stage-specific expressed genes universally in leaf blade, leaf sheath, and root. Continuous transcriptome profiling of leaf from transplanting until harvesting further elucidated the growth-stage specificity of gene expression and uncovered two major drastic changes in the leaf transcriptional program. The first major change occurred before the panicle differentiation, accompanied by the expression of RFT1, a putative florigen gene in long day conditions, and the downregulation of the precursors of two microRNAs. This transcriptome change was also associated with physiological alterations including phosphate-homeostasis state as evident from the behavior of several key regulators such as miR399. The second major transcriptome change occurred just after flowering, and based on analysis of sterile mutant lines, we further revealed that the formation of strong sink, i.e., a developing grain, is not the major cause but is rather a promoter of this change. Our study provides not only the genetic basis for functional genomics in rice but also new insight into understanding the critical physiological processes involved in flowering and seed development, that could lead to novel strategies for optimizing crop productivity.

BBX32, an Arabidopsis B-Box Protein, Functions in Light Signaling by Suppressing HY5-Regulated Gene Expression and Interacting with STH2/BBX21

Abstract: A B-box zinc finger protein, B-BOX32 (BBX32), was identified as playing a role in determining hypocotyl length during a large-scale functional genomics study in Arabidopsis (Arabidopsis thaliana). Further analysis revealed that seedlings overexpressing BBX32 display elongated hypocotyls in red, far-red, and blue light, along with reduced cotyledon expansion in red light. Through comparative analysis of mutant and overexpression line phenotypes, including global expression profiling and growth curve studies, we demonstrate that BBX32 acts antagonistically to ELONGATED HYPOCOTYL5 (HY5). We further show that BBX32 interacts with SALT TOLERANCE HOMOLOG2/BBX21, another B-box protein previously shown to interact with HY5. Based on these data, we propose that BBX32 functions downstream of multiple photoreceptors as a modulator of light responses. As such, BBX32 potentially has a native role in mediating gene repression to maintain dark adaptation.

De novo characterization of the gametophyte transcriptome in bracken fern, Pteridium aquilinum

Abstract: Because of their phylogenetic position and unique characteristics of their biology and life cycle, ferns represent an important lineage for studying the evolution of land plants. Large and complex genomes in ferns combined with the absence of economically important species have been a barrier to the development of genomic resources. However, high throughput sequencing technologies are now being widely applied to non-model species. We leveraged the Roche 454 GS-FLX Titanium pyrosequencing platform in sequencing the gametophyte transcriptome of bracken fern (Pteridium aquilinum) to develop genomic resources for evolutionary studies. 681,722 quality and adapter trimmed reads totaling 254 Mbp were assembled de novo into 56,256 unique sequences (i.e. unigenes) with a mean length of 547.2 bp and a total assembly size of 30.8 Mbp with an average read-depth coverage of 7.0×. We estimate that 87% of the complete transcriptome has been sequenced and that all transcripts have been tagged. 61.8% of the unigenes had blastx hits in the NCBI nr protein database, representing 22,596 unique best hits. The longest open reading frame in 52.2% of the unigenes had positive domain matches in InterProScan searches. We assigned 46.2% of the unigenes with a GO functional annotation and 16.0% with an enzyme code annotation. Enzyme codes were used to retrieve and color KEGG pathway maps. A comparative genomics approach revealed a substantial proportion of genes expressed in bracken gametophytes to be shared across the genomes of Arabidopsis, Selaginella and Physcomitrella, and identified a substantial number of potentially novel fern genes. By comparing the list of Arabidopsis genes identified by blast with a list of gametophyte-specific Arabidopsis genes taken from the literature, we identified a set of potentially conserved gametophyte specific genes. We screened unigenes for repetitive sequences to identify 548 potentially-amplifiable simple sequence repeat loci and 689 expressed transposable elements. This study is the first comprehensive transcriptome analysis for a fern and represents an important scientific resource for comparative evolutionary and functional genomics studies in land plants. We demonstrate the utility of high-throughput sequencing of a normalized cDNA library for de novo transcriptome characterization and gene discovery in a non-model plant.

GreenPhylDB v2.0: comparative and functional genomics in plants

Abstract: GreenPhylDB is a database designed for comparative and functional genomics based on complete genomes. Version 2 now contains sixteen full genomes of members of the plantae kingdom, ranging from algae to angiosperms, automatically clustered into gene families. Gene families are manually annotated and then analyzed phylogenetically in order to elucidate orthologous and paralogous relationships. The database offers various lists of gene families including plant, phylum and species specific gene families. For each gene cluster or gene family, easy access to gene composition, protein domains, publications, external links and orthologous gene predictions is provided. Web interfaces have been further developed to improve the navigation through information related to gene families. New analysis tools are also available, such as a gene family ontology browser that facilitates exploration. GreenPhylDB is a component of the South Green Bioinformatics Platform (http://southgreen.cirad.fr/) and is accessible at http://greenphyl.cirad.fr. It enables comparative genomics in a broad taxonomy context to enhance the understanding of evolutionary processes and thus tends to speed up gene discovery.

Identification and characterization of Dicer-like, Argonaute and RNA-dependent RNA polymerase gene families in maize

Abstract: Eukaryotic gene expression is regulated at least by two processes, RNA interference at the post-transcriptional level and chromatin modification at the transcriptional level. Distinct small RNAs (approximately 21–24 nucleotides; sRNAs) were demonstrated to play vital roles in facilitating gene silencing. In plants, the generation of these sRNAs mainly depends on some proteins encoded by respective Dicer-like (DCL), Argonaute (AGO) and RNA-dependent RNA polymerases (RDR) gene families. Here, we analyzed the DCL, AGO and RDR gene families in maize, including gene structure, phylogenetic relationships, protein conserved motifs and genomic localization among gene family members. A total of 5 Zmdcl, 18 Zmago and 5 Zmrdr genes were identified in maize. Phylogenetic analyses clustered each of these genes families into four subfamilies. In addition, gene chromosomal localization revealed that five pairs of Zmago genes resulted from tandem or segmental duplication, respectively. EST expression data mining revealed that these newly identified genes had temporal and spatial expression pattern. Furthermore, the transcripts of these genes were detected in the leaves by two different abiotic stress treatments using semi-quantitative RT-PCR. The data demonstrated that these genes exhibited different expression levels in stress treatments. The results of this study provided basic genomic information for these gene families and insights into the probable roles of these genes in plant growth and development. This will further provide a solid foundation for future functional genomics studies of Dicer-like, Argonaute and RDR gene families in maize.

Functional genomics reveals serine synthesis is essential in PHGDH-amplified breast cancer

Abstract: Cancer cells adapt their metabolic processes to drive macromolecular biosynthesis for rapid cell growth and proliferation (1,2). RNAi-based loss of function screening has proven powerful for the identification of novel and interesting cancer targets, and recent studies have used this technology in vivo to identify novel tumor suppressor genes (3). Here, we developed a method for identifying novel cancer targets via negative selection RNAi screening in solid tumours. Using this method, we screened a set of metabolic genes associated with aggressive breast cancer and stemness to identify those required for in vivo tumourigenesis. Among the genes identified, phosphoglycerate dehydrogenase (PHGDH) is in a genomic region of recurrent copy number gain in breast cancer and PHGDH protein levels are elevated in 70% of ER-negative breast cancers. PHGDH catalyzes the first step in the serine biosynthesis pathway, and breast cancer cells with high PHGDH expression have elevations in serine synthesis flux. Suppression of PHGDH in cell lines with elevated PHGDH expression, but not those without, causes a strong decrease in cell proliferation and a reduction in serine synthesis. We find that PHGDH suppression does not affect intracellular serine levels, but causes a drop in the levels of alpha-ketoglutarate, another output of the pathway and a TCA cycle intermediate. In cells with high PHGDH expression, the serine synthesis pathway contributes approximately 50% of the total anaplerotic flux of glutamine into the TCA cycle. These results reveal that certain breast cancers are dependent upon increased serine pathway flux caused by PHGDH over-expression and demonstrate the utility of in vivo negative selection RNAi screens for finding potential anticancer targets.

Comparative functional genomics of salt stress in related model and cultivated plants identifies and overcomes limitations to translational genomics.

Abstract: One of the objectives of plant translational genomics is to use knowledge and genes discovered in model species to improve crops. However, the value of translational genomics to plant breeding, especially for complex traits like abiotic stress tolerance, remains uncertain. Using comparative genomics (ionomics, transcriptomics and metabolomics) we analyzed the responses to salinity of three model and three cultivated species of the legume genus Lotus. At physiological and ionomic levels, models responded to salinity in a similar way to crop species, and changes in the concentration of shoot Cl− correlated well with tolerance. Metabolic changes were partially conserved, but divergence was observed amongst the genotypes. Transcriptome analysis showed that about 60% of expressed genes were responsive to salt treatment in one or more species, but less than 1% was responsive in all. Therefore, genotype-specific transcriptional and metabolic changes overshadowed conserved responses to salinity and represent an impediment to simple translational genomics. However, ‘triangulation’ from multiple genotypes enabled the identification of conserved and tolerant-specific responses that may provide durable tolerance across species.

Efficient Approaches for Generating GFP Fusion and Epitope-Tagging Constructs in Filamentous Fungi

Abstract: For functional characterization of predicted genes encoding hypothetical proteins in fungal genomes, it is complementary to genetic studies to determine their expression and subcellular localization patterns in different developmental or infection stages. It is also important to identify and characterize other proteins that are physically associated with or functionally related to these genes in vivo by co-immunoprecipitation or affinity purification analyses. In this chapter, we described a set of yeast shuttle vectors and protocols to generate fusion constructs by the yeast gap repair approach. Because of the simplicity and efficiency of yeast gap repair, these vectors and the general methods described in this chapter are suitable for functional genomics studies in filamentous fungi.

Versatile enzyme expression and characterization system for Aspergillus nidulans, with the Penicillium brevicompactum polyketide synthase gene from the mycophenolic acid gene cluster as a test case.

Abstract: Assigning functions to newly discovered genes constitutes one of the major challenges en route to fully exploiting the data becoming available from the genome sequencing initiatives. Heterologous expression in an appropriate host is central in functional genomics studies. In this context, filamentous fungi offer many advantages over bacterial and yeast systems. To facilitate the use of filamentous fungi in functional genomics, we present a versatile cloning system that allows a gene of interest to be expressed from a defined genomic location of Aspergillus nidulans. By a single USER cloning step, genes are easily inserted into a combined targeting-expression cassette ready for rapid integration and analysis. The system comprises a vector set that allows genes to be expressed either from the constitutive PgpdA promoter or from the inducible PalcA promoter. Moreover, by using the vector set, protein variants can easily be made and expressed from the same locus, which is mandatory for proper comparative analyses. Lastly, all individual elements of the vectors can easily be substituted for other similar elements, ensuring the flexibility of the system. We have demonstrated the potential of the system by transferring the 7,745-bp large mpaC gene from Penicillium brevicompactum to A. nidulans. In parallel, we produced defined mutant derivatives of mpaC, and the combined analysis of A. nidulans strains expressing mpaC or mutated mpaC genes unequivocally demonstrated that mpaC indeed encodes a polyketide synthase that produces the first intermediate in the production of the medically important immunosuppressant mycophenolic acid.

Agrobacterium-Mediated Virus-Induced Gene Silencing Assay In Cotton

Abstract: Cotton (Gossypium hirsutum) is one of the most important crops worldwide Considerable efforts have been made on molecular breeding of new varieties The large-scale gene functional analysis in cotton has been lagged behind most of the modern plant species, likely due to its large size of genome, gene duplication and polyploidy, long growth cycle and recalcitrance to genetic transformation(1) To facilitate high throughput functional genetic/genomic study in cotton, we attempt to develop rapid and efficient transient assays to assess cotton gene functions Virus-Induced Gene Silencing (VIGS) is a powerful technique that was developed based on the host Post-Transcriptional Gene Silencing (PTGS) to repress viral proliferation(2,3) Agrobacterium-mediated VIGS has been successfully applied in a wide range of dicots species such as Solanaceae, Arabidopsis and legume species, and monocots species including barley, wheat and maize, for various functional genomic studies(3,4) As this rapid and efficient approach avoids plant transformation and overcomes functional redundancy, it is particularly attractive and suitable for functional genomic study in crop species like cotton not amenable for transformation In this study, we report the detailed protocol of Agrobacterium-mediated VIGS system in cotton Among the several viral VIGS vectors, the tobacco rattle virus (TRV) invades a wide range of hosts and is able to spread vigorously throughout the entire plant yet produce mild symptoms on the hosts5 To monitor the silencing efficiency, GrCLA1, a homolog gene of Arabidopsis Cloroplastos alterados 1 gene (AtCLA1) in cotton, has been cloned and inserted into the VIGS binary vector pYL156 CLA1 gene is involved in chloroplast development(6), and previous studies have shown that loss-of-function of AtCLA1 resulted in an albino phenotype on true leaves(7), providing an excellent visual marker for silencing efficiency At approximately two weeks post Agrobacterium infiltration, the albino phenotype started to appear on the true leaves, with 100% silencing efficiency in all replicated experiments The silencing of endogenous gene expression was also confirmed by RT-PCR analysis Significantly, silencing could potently occur in all the cultivars we tested, including various commercially grown varieties in Texas This rapid and efficient Agrobacterium-mediated VIGS assay provides a very powerful tool for rapid large-scale analysis of gene functions at genome-wide level in cotton

Hypomethylation of Intragenic LINE-1 Represses Transcription in Cancer Cells through AGO2

Abstract: In human cancers, the methylation of long interspersed nuclear element -1 (LINE-1 or L1) retrotransposons is reduced. This occurs within the context of genome wide hypomethylation, and although it is common, its role is poorly understood. L1s are widely distributed both inside and outside of genes, intragenic and intergenic, respectively. Interestingly, the insertion of active full-length L1 sequences into host gene introns disrupts gene expression. Here, we evaluated if intragenic L1 hypomethylation influences their host gene expression in cancer. First, we extracted data from L1base (http://l1base.molgen.mpg.de), a database containing putatively active L1 insertions, and compared intragenic and intergenic L1 characters. We found that intragenic L1 sequences have been conserved across evolutionary time with respect to transcriptional activity and CpG dinucleotide sites for mammalian DNA methylation. Then, we compared regulated mRNA levels of cells from two different experiments available from Gene Expression Omnibus (GEO), a database repository of high throughput gene expression data, (http://www.ncbi.nlm.nih.gov/geo) by chi-square. The odds ratio of down-regulated genes between demethylated normal bronchial epithelium and lung cancer was high (p<1E(-27); OR = 3.14; 95% CI = 2.54-3.88), suggesting cancer genome wide hypomethylation down-regulating gene expression. Comprehensive analysis between L1 locations and gene expression showed that expression of genes containing L1s had a significantly higher likelihood to be repressed in cancer and hypomethylated normal cells. In contrast, many mRNAs derived from genes containing L1s are elevated in Argonaute 2 (AGO2 or EIF2C2)-depleted cells. Hypomethylated L1s increase L1 mRNA levels. Finally, we found that AGO2 targets intronic L1 pre-mRNA complexes and represses cancer genes. These findings represent one of the mechanisms of cancer genome wide hypomethylation altering gene expression. Hypomethylated intragenic L1s are a nuclear siRNA mediated cis-regulatory element that can repress genes. This epigenetic regulation of retrotransposons likely influences many aspects of genomic biology.