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This chapter presents strategies for the design of RNA sequencing (RNA-seq) experiments aimed at identifying differentially expressed genes. We discuss the multiphase nature of RNA-seq experiments and point out the utility of intentionally confounding nuisance factors, that inevitably arise in different design phases, with one another. We cover the concepts of biological and technical replication. We show that experimental designs that prioritize biological replication over both technical replication and increased sequencing depth per experimental unit provide improved assessments of differential expression. Several example experimental designs are presented to illustrate the featured design principles.

The three-hybrid system can be used to identify RNA sequences that bind a specific protein by screening a hybrid RNA library with a protein-activation domain fusion as 'bait.' These screens complement biochemical techniques, for example, SELEX, co-immunoprecipitation, and cross-linking experiments (see UV crosslinking of interacting RNA and protein in cultured cells and PAR-CLIP (Photoactivatable Ribonucleoside-Enhanced Crosslinking and Immunoprecipitation): a step-by-step protocol to the transcriptome-wide identification of binding sites of RNA-binding proteins).

RNA-protein interactions play indispensable roles in the regulation of cellular functions. Biochemical characterization of these complexes is often done by immunoprecipitation (IP) of RNA-binding proteins (RBPs) followed by identification of co-immunoprecipitated RNAs. This protocol couples ultraviolet (UV) irradiation with IP to determine whether a specific protein interacts directly with a specific RNA in living cells.

Eukaryotic genomes encode a large number of RNA-binding proteins, which play critical roles in many aspects of gene regulation. To functionally characterize these proteins, a key step is to map their interactions with target RNAs. UV crosslinking and immunoprecipitation coupled with high-throughput sequencing has become the standard method for this purpose. Here we describe the detailed procedure that we have used to characterize the protein–RNA interactions of the mRNA 3′ processing factors.

We recently developed a protocol for the transcriptome-wide isolation of RNA recognition elements readily applicable to any protein or ribonucleoprotein complex directly contacting RNA (including RNA helicases, polymerases, or nucleases) expressed in cell culture models either naturally or ectopically (Hafner et al., 2010). Briefly, immunoprecipitation of the RNA-binding protein of interest is followed by isolation of the crosslinked and coimmunoprecipitated RNA. In the course of lysate preparation and immunoprecipitation, the mRNAs are partially degraded using Ribonuclease T1. The isolated crosslinked RNA fragments are converted into a cDNA library and deep-sequenced using Solexa technology (see Explanatory Chapter: Next Generation Sequencing). By introducing photoreactive nucleosides that generate characteristic sequence changes upon crosslinking (see below), our protocol allows one to separate RNA segments bound by the protein of interest from the background un-crosslinked RNAs.

The genetic program through which a specific transcription factor regulates a biological response is fundamental to our understanding how instructions in the genome are implemented. The emergence of DNA microarray technology for gene expression analysis has generated vast numbers of target genes resulting from specific transcription factor activity. We use the oncogenic transcription factor c-Myc as proof-of-principle that human genome sequence analysis and scanning of a specific gene by chromatin immunoprecipitation can be coupled to identify target transcription factor binding sequences. We focused on nucleophosmin, also known as B23, which was identified as a candidate Myc-responsive gene from a subtractive hybridization screen, and we found that sequences in intron 1, and not 5' sequences in the proximal promoter, are bound by c-Myc in vivo. Hence, a scanning chromatin immunoprecipitation (SChIP) strategy is useful in analyzing functional transcription factor-binding sites.

Microarrays have been used to characterize gene expression through the yeast cell cycle. Computational methods have been applied to the microarray data to identify coregulated clusters of genes, and motif-finding algorithms have found promoter elements characteristic of each cluster. The functional relevance of these promoter elements can be tested using chromatin immunoprecipitation, additional microarrays and other molecular techniques. The yeast forkhead proteins have been successfully identified as cell cycle transcription factors for an important cluster of genes by this and other approaches.

Retroviral particles contain two genomic RNAs of approximately 9 kb that are linked in a noncovalent manner. In vitro studies with purified transcripts have identified particular RNA motifs that contribute to the RNA-dimerization reaction, but the situation may be more complex within virion particles. In this study, we tested whether the primer-binding site (PBS) of the human immunodeficiency virus type 1 (HIV-1) RNA genome and the associated tRNA(Lys3) primer play a role in the process of RNA dimerization. Deletion of the PBS motif did not preclude the formation of RNA dimers within virus particles, indicating that this motif and the tRNA primer do not participate in the interactions that control RNA packaging and dimerization. Genome dimerization has been proposed to play a role in particular steps of the reverse transcription mechanism. To test this, reverse transcription was performed with the native RNA dimer and the heat-denatured template. These two template forms yielded equivalent levels of minus-strand strong-stop cDNA product, which is an early intermediate of reverse transcription. However, melting of the RNA dimer precluded the next step of reverse transcription, in which the minus-strand strong-stop cDNA is translocated from the 5' repeat element to the 3' repeat element. The results suggest that the conformation of the dimeric RNA genome facilitates the first strand-transfer reaction of the reverse transcription mechanism.

RNA-based regulation is increasingly recognized as an important factor shaping the cellular transcriptome. RNA-binding proteins that interact with cis-regulatory motifs within pre-mRNAs determine the fate of their targets. Understanding posttranscriptional networks controlled by an RNA-binding protein requires the identification of its immediate in vivo targets. Here we describe RNA immunoprecipitation in Arabidopsis thaliana. Transgenic plants expressing an RNA-binding protein fused to green fluorescent protein are treated with formaldehyde to "trap" RNAs in complexes with their physiological protein partners. A whole-cell extract is subjected to immunoprecipitation with an antibody against the GFP tag. In parallel, a mock immunoprecipitation is performed using an unrelated antibody. Coprecipitated RNAs are eluted from the immunoprecipitate and identified via real-time PCR. Enrichment relative to immunoprecipitation from plants expressing GFP only and mock immunoprecipitation with an unrelated antibody indicates specific binding.

The absence of a quality control (QC) system is a major weakness for the comparative analysis of genome-wide profiles generated by next-generation sequencing (NGS). This concerns particularly genome binding/occupancy profiling assays like chromatin immunoprecipitation (ChIP-seq) but also related enrichment-based studies like methylated DNA immunoprecipitation/methylated DNA binding domain sequencing, global run on sequencing or RNA-seq. Importantly, QC assessment may significantly improve multidimensional comparisons that have great promise for extracting information from combinatorial analyses of the global profiles established for chromatin modifications, the bindings of epigenetic and chromatin-modifying enzymes/machineries, RNA polymerases and transcription factors and total, nascent or ribosome-bound RNAs. Here we present an approach that associates global and local QC indicators to ChIP-seq data sets as well as to a variety of enrichment-based studies by NGS. This QC system was used to certify >5600 publicly available data sets, hosted in a database for data mining and comparative QC analyses.

Uterine glands and their secretions are indispensable for endometrial function and fertility; however, the mechanisms regulating their development and function are not well understood. Forkhead transcription factor box A2 (FOXA2) is uniquely expressed in the glandular epithelial (GE) cells of the uterus, and conditional deletion of Foxa2 after birth impedes uterine gland development. An integrative approach was used here to define the FOXA2 cistrome in the murine uterus. Genome-wide mapping of FOXA2 binding sites was combined with transcriptomic analyses of isolated GE and Foxa2-deleted uteri. ChIP-Seq analyses found the number of FOXA2 target genes was substantially greater in the adult (8893) than neonatal uterus (1101). In the neonatal uterus, FOXA2-bound and GE-expressed genes (469) were enriched for developmentally related processes, including cell cycle, cell junction, focal adhesion, and WNT signaling. In the adult uterus, FOXA2-bound and GE-expressed genes (3730) were enriched for functional processes, including metabolic pathways, focal adhesion, bacterial invasion of epithelial cells, and WNT signaling. Analysis of the uterine FOXA2 cistrome provides novel insights into mechanisms governing endometrial gland development and function, which are important to understand fundamental aspects of uterine differentiation, regeneration and disease.— Filant, J., Lydon, J. P., Spencer, T. E. Integrated chromatin immunoprecipitation sequencing and microarray analysis identifies FOXA2 target genes in the glands of the mouse uterus.

Post-transcriptional regulation of messenger RNA contributes to numerous aspects of gene expression. The key component to this level of regulation is the interaction of RNA-binding proteins (RBPs) and their associated target mRNA. Splicing, stability, localization, translational efficiency, and alternate codon use are just some of the post-transcriptional processes regulated by RBPs. Central to our understanding of these processes is the need to characterize the network of RBP-mRNA associations and create a map of this functional post-transcriptional regulatory system. Here we provide a detailed methodology for mRNA isolation using RBP immunoprecipitation (RIP) as a primary partitioning approach followed by microarray (Chip) or next generation sequencing (NGS) analysis. We do this by using specific antibodies to target RBPs for the capture of associated RNA cargo. RIP-Chip/Seq has proven to be is a versatile, genomic technique that has been widely used to study endogenous RBP-RNA associations.

The transcriptome has shown tremendous potential for the comprehensive investigation of gene expression profiles and transcriptional levels in comparative biology, the identification of regulatory mechanism of transcriptional regulators, and the evaluation of target gene for developing new chemotherapeutic agents, vaccine, and diagnostic methods. The traditional microarray and advanced next-generation RNA sequencing technologies (RNA-seq) provide powerful and effective tools for the determination of the transcriptome of bacterial cells. In this chapter, we provide a detailed protocol for scientists who want to investigate gene expression profiles by performing microarray and/or RNA-seq analysis, including different RNA purification methods, mRNA enrichment, decontamination, cDNA synthesis, fragmentation, biotin labeling for hybridization using Affymetrix Staphylococcus aureus chips, quantitative real-time reverse transcription PCR, and RNA-seq data analysis.

Background Analyzing the RNA pool or transcription start sites requires effective means to convert RNA into cDNA libraries for digital expression counting. With current high-speed sequencers, it is necessary to flank the cDNAs with specific adapters. Adding template-switching oligonucleotides to reverse transcription reactions is the most commonly used approach when working with very small quantities of RNA even from single cells. Results Here we compared the performance of DNA-RNA, DNA-LNA and DNA oligonucleotides in template-switching during nanoCAGE library preparation. Test libraries from rat muscle and HeLa cell RNA were prepared in technical triplicates and sequenced for comparison of the gene coverage and distribution of the reads within transcripts. The DNA-RNA oligonucleotide showed the highest specificity for capped 5′ ends of mRNA, whereas the DNA-LNA provided similar gene coverage with more reads falling within exons. Conclusions While confirming the cap-specific preference of DNA-RNA oligonucleotides in template-switching reactions, our data indicate that DNA-LNA hybrid oligonucleotides could potentially find other applications in random RNA sequencing.

ChIP-sequencing (ChIP-seq) methods directly offer whole-genome coverage, where combining chromatin immunoprecipitation (ChIP) and massively parallel sequencing can be utilized to identify the repertoire of mammalian DNA sequences bound by transcription factors in vivo. "Next-generation" genome sequencing technologies provide 1-2 orders of magnitude increase in the amount of sequence that can be cost-effectively generated over older technologies thus allowing for ChIP-seq methods to directly provide whole-genome coverage for effective profiling of mammalian protein-DNA interactions. For successful ChIP-seq approaches, one must generate high quality ChIP DNA template to obtain the best sequencing outcomes. The description is based around experience with the protein product of the gene most strongly implicated in the pathogenesis of type 2 diabetes, namely the transcription factor transcription factor 7-like 2 (TCF7L2). This factor has also been implicated in various cancers. Outlined is how to generate high quality ChIP DNA template derived from the colorectal carcinoma cell line, HCT116, in order to build a high-resolution map through sequencing to determine the genes bound by TCF7L2, giving further insight in to its key role in the pathogenesis of complex traits.

Functional protein microarrays offer the capability for high-throughput protein interaction analysis and have long promised to be a powerful tool for understanding protein interactions at the proteome scale. Although popular techniques for protein-protein interaction mapping like yeast-two-hybrid and affinity-purification mass spectrometry have performed well for identifying intracellular protein-protein interactions, the study of interactions between extracellular proteins has remained challenging for these methods. Instead, the use of protein microarrays appears to be a robust and efficient method for the identification of interactions among the members of this class of protein. This unit describes methods for extracellular protein microarray production, screening, and analysis. A protocol is described for enhanced detection of low-affinity interactions by generating multivalent complexes using Fc-fusion bait proteins and protein A microbeads, along with a statistical method for hit scoring and identification of nonspecific interactions.

[Abstract] This method is for the immunoprecipitation of Flag-Tagged RNA binding proteins from mammalian cell lines and isolation of the bound RNAs for analysis by quantitative real-time PCR. The RNA binding protein of interest should be tagged with the M2 Flag-tag and expressed in the mammalian cell line of interest (Knuckles et al., 2012). However, specific antibodies for the protein of interest can be used in conjunction with Sepharose G-beads.

ChIP-seq is rapidly becoming a routine technique for the determination of the genome wide association of DNA binding proteins and histone modifications. Here we provide a protocol for the isolation, purification, and immunoprecipitation of DNA fragments associated with a target transcription factor of interest. Although the method makes use of adult mouse hearts, it can, with relative ease, be adapted for the in vivo ChIP isolation of DNA from other cell and tissue sources with the intention of massive parallel sequencing.

BackgroundNext-generation sequencing technologies have profoundly impacted biology over recent years. Experimental protocols, such as photoactivatable ribonucleoside-enhanced cross-linking and immunoprecipitation (PAR-CLIP), which identifies protein–RNA interactions on a genome-wide scale, commonly employ deep sequencing. With PAR-CLIP, the incorporation of photoactivatable nucleosides into nascent transcripts leads to high rates of specific nucleotide conversions during reverse transcription. So far, the specific properties of PAR-CLIP-derived sequencing reads have not been assessed in depth.MethodsWe here compared PAR-CLIP sequencing reads to regular transcriptome sequencing reads (RNA-Seq) to identify distinctive properties that are relevant for reference-based read alignment of PAR-CLIP datasets. We developed a set of freely available tools for PAR-CLIP data analysis, called the PAR-CLIP analyzer suite (PARA-suite). The PARA-suite includes error model inference, PAR-CLIP read simulation based on PAR-CLIP specific properties, a full read alignment pipeline with a modified Burrows–Wheeler Aligner algorithm and CLIP read clustering for binding site detection.ResultsWe show that differences in the error profiles of PAR-CLIP reads relative to regular transcriptome sequencing reads (RNA-Seq) make a distinct processing advantageous. We examine the alignment accuracy of commonly applied read aligners on 10 simulated PAR-CLIP datasets using different parameter settings and identified the most accurate setup among those read aligners. We demonstrate the performance of the PARA-suite in conjunction with different binding site detection algorithms on several real PAR-CLIP and HITS-CLIP datasets. Our processing pipeline allowed the improvement of both alignment and binding site detection accuracy.AvailabilityThe PARA-suite toolkit and the PARA-suite aligner are available athttps://github.com/akloetgen/PARA-suiteandhttps://github.com/akloetgen/PARA-suite_aligner, respectively, under the GNU GPLv3 license.

RNA Transcription RNA expression is related to protein abundance and cellular function. However, the amounts of RNA generated at any one time-point have been difficult to determine. Schwalb et al. developed a method, transient transcriptome sequencing (TT-Seq), to collect and sequence all RNA

Background Zero-mode waveguides (ZMWs) are photonic nanostructures that create highly confined optical observation volumes, thereby allowing single-molecule-resolved biophysical studies at relatively high concentrations of fluorescent molecules. This principle has been successfully applied in single-molecule, real-time (SMRT®) DNA sequencing for the detection of DNA sequences and DNA base modifications. In contrast, RNA sequencing methods cannot provide sequence and RNA base modifications concurrently as they rely on complementary DNA (cDNA) synthesis by reverse transcription followed by sequencing of cDNA. Thus, information on RNA modifications is lost during the process of cDNA synthesis. Results Here we describe an application of SMRT technology to follow the activity of reverse transcriptase enzymes synthesizing cDNA on thousands of single RNA templates simultaneously in real time with single nucleotide turnover resolution using arrays of ZMWs. This method thereby obtains information from the RNA template directly. The analysis of the kinetics of the reverse transcriptase can be used to identify RNA base modifications, shown by example for N6-methyladenine (m6A) in oligonucleotides and in a specific mRNA extracted from total cellular mRNA. Furthermore, the real-time reverse transcriptase dynamics informs about RNA secondary structure and its rearrangements, as demonstrated on a ribosomal RNA and an mRNA template. Conclusions Our results highlight the feasibility of studying RNA modifications and RNA structural rearrangements in ZMWs in real time. In addition, they suggest that technology can be developed for direct RNA sequencing provided that the reverse transcriptase is optimized to resolve homonucleotide stretches in RNA.

As a result of the development of high-throughput sequencing and efficient microarray analysis, global gene expression analysis has become an easy and readily available form of data collection. In many research and disease models however, steady state levels of target gene mRNA does not always directly correlate with steady state protein levels. Post-transcriptional gene regulation is a likely explanation of the divergence between the two. Driven by the binding of RNA Binding Proteins (RBP), post-transcriptional regulation affects mRNA localization, stability and translation by forming a Ribonucleoprotein (RNP) complex with target mRNAs. Identifying these unknown de novo mRNA targets from cellular extracts in the RNP complex is pivotal to understanding mechanisms and functions of the RBP and their resulting effect on protein output. This protocol outlines a method termed RNP immunoprecipitation-microarray (RIP-Chip), which allows for the identification of specific mRNAs associated in the ribonucleoprotein complex, under changing experimental conditions, along with options to further optimize an experiment for the individual researcher. With this important experimental tool, researchers can explore the intricate mechanisms associated with post-transcriptional gene regulation as well as other ribonucleoprotein interactions.

Next-generation sequencing technologies have expanded the experimental possibilities for studying the genome-wide regulation of transcription by nuclear receptors, their collaborating transcription factors, and coregulators. These technologies allow investigators to obtain abundance and DNA sequence information in a single experiment. In this review, we highlight proven and potential uses of next-generation sequencing in the study of gene regulation by nuclear receptors. We also provide suggestions on how to effectively leverage this technology in a collaborative environment.

Motif discovery has been one of the most widely studied problems in bioinformatics ever since genomic and protein sequences have been available. In particular, its application to the de novo prediction of putative over-represented transcription factor binding sites in nucleotide sequences has been, and still is, one of the most challenging flavors of the problem. Recently, novel experimental techniques like chromatin immunoprecipitation (ChIP) have been introduced, permitting the genome-wide identification of protein–DNA interactions. ChIP, applied to transcription factors and coupled with genome tiling arrays (ChIP on Chip) or next-generation sequencing technologies (ChIP-Seq) has opened new avenues in research, as well as posed new challenges to bioinformaticians developing algorithms and methods for motif discovery.

INTRODUCTIONThis protocol describes the use of chromatin immunoprecipitation technology (ChIP) to analyze interactions of proteins or protein complexes with DNA in vivo. In this approach, the material is fixed with formaldehyde to preserve DNA-protein and protein-protein associations, the cells are lysed, and the chromatin is cut and solubilized. The chromatin suspension is immunoprecipitated with an antibody against the protein(s) of interest, and the coimmunoprecipitated DNA fragments are analyzed. The following protocol has been established for the cultured cell line Schneider 2 (S2) from Drosophila melanogaster. If other tissue is used, certain steps of the protocol may need to be optimized; the main variation is likely to be in the cross-linking step.

The analysis of DNA-methylation on a genome-wide scale by next-generation sequencing techniques is an invaluable tool towards the understanding of the epigenetic basis of cellular differentiation. Methylated DNA immunoprecipitation (MeDIP) is an immunocapturing method using an antibody targeting 5-methylcytidine (5 mC) and thereby enriching methylated DNA. MeDIP combined with next-generation sequencing (MeDIP-seq) provides a powerful tool for the analysis of genome-wide DNA-methylation profiles. Here, we describe a protocol for the preparation of MeDIP samples suitable for next-generation sequencing on a Genome Analyser (Illumina).

RNA sequencing is starting to compete with the use of DNA microarrays for transcription analysis in eukaryotes as well as in prokaryotes. The application of RNA sequencing in prokaryotes requires additional steps in the RNA preparation procedure to increase the relative abundance of mRNA and cannot employ the poly(T)-primed approach in cDNA synthesis. In this study, we aimed to validate the use of RNA sequencing (direct cDNA sequencing and 3′-untranslated region [UTR] sequencing) using Lactobacillus plantarum WCFS1 as a model organism, employing its established microarray platform as a reference. A limited effect of mRNA enrichment on genome-wide transcript quantification was observed, and comparative transcriptome analyses were performed for L. plantarum WCFS1 grown in two different laboratory media. Microarray analyses and both RNA sequencing methods resulted in similar depths of analysis and generated similar fold-change ratios of differentially expressed genes. The highest overall correlation was found between microarray and direct cDNA sequencing-derived transcriptomes, while the 3′-UTR sequencing-derived transcriptome appeared to deviate the most. Overall, a high similarity between patterns of transcript abundance and fold-change levels of differentially expressed genes was detected by all three methods, indicating that the biological conclusions drawn from the transcriptome data were consistent among the three technologies.

Combinatorial binding of transcription factors (TFs) and cofactors to specific regulatory regions of target genes in vivo is an important mechanism of transcriptional regulation. Chromatin immunoprecipitation (ChIP) is a powerful technique to detect protein binding to specific regions of target genes in vivo. However, conventional ChIP analysis for individual factors (single ChIP) does not provide information on co-occupancy of two interacting TFs on target genes, even if both bind to the same chromatin regions. Double ChIP analysis involves sequential (double) immunoprecipitation of two chromatin-binding proteins and can be used to study co-occupancy of two or more factors on specific regions of the same DNA allele. Furthermore, by including a cell type-specific protein in double-ChIP, target co-occupancy in a specific cell type can be studied even if the other partner is more widely expressed. In this chapter, we describe a detailed protocol for double ChIP analysis in mouse retinas. Using the rod-specific transcription factor NR2E3 and the cone/rod homeobox protein CRX as examples, we show that NR2E3 and CRX are co-enriched on the promoter of active Rho and Rbp3 genes in rods, but are present to a much lesser degree on the promoters of silent cone opsin genes. These results suggest a new mechanism by which rod and cone genes are differentially regulated by these transcription factors in rod photoreceptors.

This chapter describes the preparation of NMR quantities of RNA purified to single-nucleotide resolution for protein-RNA interaction studies. The protocol is easily modified to make nucleotide-specific isotopically labeled RNAs or uniformly labeled RNA fragments for ligation to generate segmentally labeled RNAs.

Chromatin immunoprecipitation (ChIP) allows enrichment of genomic regions which are associated with specific transcription factors, histone modifications, and indeed any other epitopes which are present on chromatin. The original ChIP methods used site-specific PCR and Southern blotting to confirm which regions of the genome were enriched, on a candidate basis. The combination of ChIP with genomic tiling arrays (ChIP-chip) allowed a more unbiased approach to map ChIP-enriched sites. However, limitations of microarray probe design and probe number have a detrimental impact on the coverage, resolution, sensitivity, and cost of whole-genome tiling microarray sets for higher eukaryotes with large genomes. The combination of ChIP with high-throughput sequencing technology has allowed more comprehensive surveys of genome occupancy, greater resolution, and lower cost for whole genome coverage. Herein, we provide a comparison of high-throughput sequencing platforms and a survey of ChIP-seq analysis tools, discuss experimental design, and describe a detailed ChIP-seq method.Chromatin immunoprecipitation (ChIP) allows enrichment of genomic regions which are associated with specific transcription factors, histone modifications, and indeed any other epitopes which are present on chromatin. The original ChIP methods used site-specific PCR and Southern blotting to confirm which regions of the genome were enriched, on a candidate basis. The combination of ChIP with genomic tiling arrays (ChIP-chip) allowed a more unbiased approach to map ChIP-enriched sites. However, limitations of microarray probe design and probe number have a detrimental impact on the coverage, resolution, sensitivity, and cost of whole-genome tiling microarray sets for higher eukaryotes with large genomes. The combination of ChIP with high-throughput sequencing technology has allowed more comprehensive surveys of genome occupancy, greater resolution, and lower cost for whole genome coverage. Herein, we provide a comparison of high-throughput sequencing platforms and a survey of ChIP-seq analysis tools, discuss experimental design, and describe a detailed ChIP-seq method.

The unifying feature of second-generation sequencing technologies is that single template strands are amplified clonally onto a solid surface prior to the sequencing reaction. To convert template strands into a compatible state for attachment to this surface, a multistep library preparation is required, which typically culminates in amplification by the PCR. PCR is an inherently biased process, which decreases the efficiency of data acquisition. Flowcell reverse transcription sequencing is a method of transcriptome sequencing for Illumina sequencers in which the reverse transcription reaction is performed on the flowcell by using unamplified, adapter-ligated mRNA as a template. This approach removes PCR biases and duplicates, generates strand-specific paired-end data and is highly reproducible. The procedure can be performed quickly, taking 2 d to generate clusters from mRNA.

Rapid detection of viral pathogens is crucial for antiviral therapy. High‐density 60–70‐mer oligonucleotide microarrays have been explored for broad detection of many viruses. However, relatively low specificity and the complex analytical processes are the major limitations when pan‐viral oligonucleotide microarrays are used to detect viral pathogens. In this study, genus‐specific oligonucleotides were used as probes and modified sample preparations were carried out to improve the specificity and accuracy of the pan‐viral oligonucleotide microarray. Genus‐specific 63‐mer oligonucleotide probes were used for screening human pathogenic RNA viruses. A total of 628 oligonucleotide probes covering 32 RNA viral genera from 14 viral families were used. The number of oligonucleotide probes was decreased to simplify the analytical process of hybridization and to minimize cross‐hybridization. Host genomes were removed by DNase I/RNase T1 digestion before viral nucleic acid extraction, and non‐ribosomal hexanucleotides were used for reverse transcription to minimize interference of host genomes. Cultured viruses were used for microarray validation. The microarray was validated by cultured isolates that belonged to five viral genera. By using DNase I/RNase T1 digestion before viral nucleic acid extraction and non‐ribosomal hexanucleotides for reverse transcription, the specificity of the microarray was improved. Furthermore, the analytical process of hybridization results was simplified. The specificity of pan‐viral microarray could be improved by using genus‐specific oligonucleotides as probes and by using non‐ribosomal hexanucleotides for reverse transcription. Combined with subsequent degenerate reverse transcriptase‐polymerase chain reaction and sequencing processes, this improved genus‐specific oligonucleotides microarray provides a relatively flexible strategy for diagnosis of RNA virus diseases. J. Med. Virol. 83:1624–1630, 2011. © 2011 Wiley‐Liss, Inc.

INTRODUCTIONThis protocol describes a nondenaturing immunoprecipitation (IP) for mammalian cells. Where possible, we prefer to use denaturing IPs to recover labeled proteins from pulse-chase experiments. However, the nondenaturing protocol is useful when one wishes to separate soluble from insoluble proteins, or when the antibody being used recognizes a native epitope.

International audience; At the current rate of technological progress, high-throughput sequencing of nucleic acids has become a commodity. These techniques are perfectly suitable for viral small RNAs sequencing and contribute to the understanding of many aspects of virus biology in the context of host-pathogen interaction. However, the generation of high quality data is still an issue and the preparation of small RNAs libraries that accurately reflect the viral siRNAs in the sample remains a challenge. In this chapter we describe how to clone and sequence libraries of viral small RNAs from infected insect samples (mosquito, drosophilidae, insect-derived cell lines).

Micro-RNAs (miRNAs) are small non-coding RNA molecules which provide a subtle layer of regulation to thousands of cellular genes. The identification of virally encoded miRNAs added another layer of complexity to the dense interaction between viruses and their natural hosts. While it has been shown that viral miRNAs can regulate both cellular and viral gene expression, target identification has been a difficult and cumbersome task. The immunoprecipitation of Argonaute (Ago)-protein containing RNA-induced silencing complexes (RISC) followed by microarray analysis (RIP-Chip) allows the identification of miRNA-targetomes at whole transcriptome level. We applied Ago2-based RIP-Chip to identify cellular transcripts targeted by Kaposi's sarcoma-associated herpesvirus (KSHV, n = 114), Epstein-Barr virus (EBV, n = 44) and cellular miRNAs (n = 2,337) in six latently infected or stably transduced human B-cell lines. While RIP-Chip yields a plethora of high-confidence miRNA targets and provides a quantitative estimate of miRNA function, additional biochemical methods like HITS-CLIP or PAR-CLIP and bioinformatic analysis are required to identify individual miRNA binding sites. Together, these methods will be useful to unravel the network of regulation exerted by both viral and cellular miRNAs, thereby providing the basis for functional studies on miRNA-mediated regulation of gene expression in herpesvirus infections.

Nearly all signal transduction pathways lead to regulation of gene expression by controlling specific transcription factors (TFs). Chromatin immunoprecipitation (ChIP) is a powerful method for studying TF-DNA interactions in vivo. To identify all binding sites of a TF in the genome, the DNA obtained in ChIP experiments needs to be analyzed by hybridization to genome-tiling microarrays (ChIP-chip) or by next-generation sequencing (ChIP-seq). Here, we provide detailed protocols of ChIP for two model plant species Arabidopsis and rice, procedures of DNA sample preparation for ChIP-chip or ChIP-seq, and a general guide for computational data analysis. We have used these protocols to successfully identify direct target genes of the BZR1 TF of the brassinosteroid signaling pathway in both Arabidopsis and rice.

The crucial roles played by RNA-binding proteins in all aspects of RNA metabolism, particularly in the regulation of transcription, have become increasingly evident. Moreover, other factors that do not directly interact with RNA molecules can nevertheless function proximally to RNA polymerases and have significant effects on gene expression. RNA immunoprecipitation (RIP) is a powerful technique used to detect direct and indirect interactions between individual proteins and specific RNA molecules in vivo. Here, we describe RIP methods for both yeast and mammalian cells.

Target validation for small RNAs in cells can be a confusing task wrought with pitfalls and false leads. One technique for validating in vivo targets of small RNAs is immunoprecipitation of target RNAs using antibodies again the RNAi machinery. Antigene RNAs (agRNAs) regulate transcription in human cells using machinery from the RNAi regulatory pathway - namely argonaute proteins. Here we describe a technique for validating targets of agRNAs using RNA immunoprecipitation with antibodies against human argonaute proteins. This technique can be used to detect interactions of argonaute proteins in the cell nucleus with their targets, lowly expressed noncoding RNA transcripts.

Tese de doutoramento, Estatística e Investigação Operacional (Bioestatística e Bioinformática), Universidade de Lisboa, Faculdade de Ciências, 2011 Submitted by amelia Janeiro (ajaneiro@reitoria.ul.pt) on 2011-10-18T11:04:21Z No. of bitstreams: 1 ulsd061199_td_Barreto_Hernández_Emiliano.pdf: 6793890 bytes, checksum: 43dfa16d8f7b0372001367c0a81fe0a1 (MD5) Made available in DSpace on 2011-10-18T11:04:42Z (GMT). No. of bitstreams: 1 ulsd061199_td_Barreto_Hernández_Emiliano.pdf: 6793890 bytes, checksum: 43dfa16d8f7b0372001367c0a81fe0a1 (MD5) Previous issue date: 2011 Fundação para a Ciência e a Tecnologia (FCT por projectos PEst-OE/MAT/UI0006/2011 e PTDC/MAT/64353/2006)

Post-transcriptional gene regulation is largely mediated by RNA-binding proteins (RBPs) that modulate mRNA expression at multiple levels, from RNA processing to translation, localization, and degradation. Thereby, the genome-wide identification of mRNAs regulated by RBPs is crucial to uncover post--transcriptional gene regulatory networks. In this chapter, we provide a detailed protocol for one of the techniques that has been developed to systematically examine RNA targets for RBPs. This technique involves the purification of endogenously formed RBP-mRNA complexes with specific antibodies from cellular extracts, followed by the identification of associated RNAs using DNA microarrays. Such RNA-binding protein immunopurification-microarray profiling, also called RIP-Chip, has also been applied to identify mRNAs that are transported to distinct subcellular compartments by RNP-motor complexes. The application and further development of this method could provide global insights into the subcellular architecture of the RBP-RNA network, and how it is restructured upon changing environmental conditions, during development, and possibly in disease.

Using a cell as an RNA sequencing chip enables spatial analyses of the transcriptome at subcellular resolution.

Chromatin immunoprecipitation of transcription factors tagged for degradation reveals how protein turnover regulates transcription.

The traditional method for determining the transcription rate of a gene, nuclear run-on, is time consuming, laborious, and involves the use of high levels of radio-labeled nucleotides. When combined with measurements of mRNA levels, RNA polymerase II (Pol II) chromatin immunoprecipitation (ChIP) is a simpler alternative to determine the transcription rate of genes. Moreover, this approach provides more information about the transcriptional regulation of a gene than nuclear run-on. The power of the ChIP assay is that it gives a researcher the ability to not only detect a specific protein-DNA interaction in vivo, for instance with Pol II, but also to determine the relative density of factors along genes or the entire genome. Though powerful, the conventional ChIP assay is time consuming (involving 2 days or more) and involves labor intensive steps. With Fast ChIP we simplified the assay to greatly reduce the time and labor involved. The improved assay is especially useful for studies which involve many samples, including the probing of multiple transcriptionally related factors simultaneously and/or looking at transcription events over several time points. Using Fast ChIP, 24 sheared chromatin samples can be processed to yield PCR ready DNA in 5 h.

Sequence-specific protein-DNA interactions (PDIs) are critical for regulating many cellular processes, including transcription, DNA replication, repair, and rearrangement. We review recent experimental advances in high-throughput technologies designed to characterize PDIs and discuss recent studies that use these tools, including ChIP-chip/seq, SELEX-based approaches, yeast one-hybrid, bacterial one-hybrid, protein binding microarray, and protein microarray. The results of these studies have challenged some long-standing concepts of PDI and provide valuable insights into the complex transcriptional regulatory networks.

A powerful method to identify binding sites in target genes is chromatin immunoprecipitation (ChIP), which allows the purification of in vivo formed complexes of a DNA-binding protein and associated DNA. Briefly, the method involves the fixation of plant tissue and the isolation of the total protein-DNA mixture, followed by an immunoprecipitation step with an antibody directed against the protein of interest and, subsequently, the DNA can be purified. Finally, the DNA can be analyzed by PCR for the enrichment of specific regions. A drawback of ChIP is that for each protein another antibody is needed. To overcome this, a generic strategy is possible using tags fused to the protein of interest. In this case, only antibody is needed against the tag. This protocol describes the tagging of proteins and how to perform ChIP.

Rationale : Transcriptional profiling can detect subclinical heart disease and provide insight into disease etiology and functional status. Current microarray-based methods are expensive and subject to artifact. Objective : To develop RNA sequencing methodologies using next generation massively parallel platforms for high throughput comprehensive analysis of individual mouse cardiac transcriptomes. To compare the results of sequencing- and array-based transcriptional profiling in the well-characterized Gαq transgenic mouse hypertrophy/cardiomyopathy model. Methods and Results : The techniques for preparation of individually bar-coded mouse heart RNA libraries for Illumina Genome Analyzer II resequencing are described. RNA sequencing showed that 234 high-abundance transcripts (>60 copies/cell) comprised 55% of total cardiac mRNA. Parallel transcriptional profiling of Gαq transgenic and nontransgenic hearts by Illumina RNA sequencing and Affymetrix Mouse Gene 1.0 ST arrays revealed superior dynamic range for mRNA expression and enhanced specificity for reporting low-abundance transcripts by RNA sequencing. Differential mRNA expression in Gαq and nontransgenic hearts correlated well between microarrays and RNA sequencing for highly abundant transcripts. RNA sequencing was superior to arrays for accurately quantifying lower-abundance genes, which represented the majority of the regulated genes in the Gαq transgenic model. Conclusions : RNA sequencing is rapid, accurate, and sensitive for identifying both abundant and rare cardiac transcripts, and has significant advantages in time- and cost-efficiencies over microarray analysis.