High-throughput luciferase reporter assay for small-molecule inhibitors of microRNA function

MicroRNAs (miRNAs) are endogenous, single-stranded, noncoding RNAs of 21 to 23 nucleotides that regulate gene expression, typically by binding the 3' untranslated regions of target messenger RNAs. It is estimated that miRNAs are involved in the regulation of 30% of all genes and almost every genetic pathway. Recently, the misregulation of miRNAs has been linked to various human diseases including cancer and viral infections, identifying miRNAs as potential targets for drug discovery. Thus, small-molecule modifiers of miRNAs could serve as lead structures for the development of new therapeutic agents and be useful tools in the elucidation of detailed mechanisms of miRNA function. As a result, we have developed a high-throughput screen for potential small-molecule regulators of the liver-specific microRNA miR-122, which is involved in hepatocellular carcinoma development and hepatitis C virus infection. Our small-molecule screen employs a Huh7 human hepatoma cell line stably transfected with a Renilla luciferase sensor for endogenous miR-122. The assay was optimized and validated using an miR-122 antisense agent and a previously identified small-molecule miR-122 inhibitor. The described reporter assay will enable the high-throughput screening of small-molecule miR-122 inhibitors and can be readily extended to other miRNAs.     

High-throughput screening for gene libraries expressing carbohydrate hydrolase activity

A simple and fast method is described allowing screening of large number of Escherichia coli clones (4000 per day) for the presence of functional or improved carbohydrate hydrolase enzymes. The procedure is relatively cheap and has the advantage that carbohydrate degrading activity can be directly measured using liquid cultures grown in microtiter plates without the need of separation or purification steps.     

Towards computational prediction of microRNA function and activity

While it has been established that microRNAs (miRNAs) play key roles throughout development and are dysregulated in many human pathologies, the specific processes and pathways regulated by individual miRNAs are mostly unknown. Here, we use computational target predictions in order to automatically infer the processes affected by human miRNAs. Our approach improves upon standard statistical tools by addressing specific characteristics of miRNA regulation. Our analysis is based on a novel compendium of experimentally verified miRNA-pathway and miRNA-process associations that we constructed, which can be a useful resource by itself. Our method also predicts novel miRNA-regulated pathways, refines the annotation of miRNAs for which only crude functions are known, and assigns differential functions to miRNAs with closely related sequences. Applying our approach to groups of co-expressed genes allows us to identify miRNAs and genomic miRNA clusters with functional importance in specific stages of early human development. A full list of the predicted mRNA functions is available at http://acgt.cs.tau.ac.il/fame/.     

High-throughput RNA interference screening using pooled shRNA libraries and next generation sequencing

RNA interference (RNAi) screening is a state-of-the-art technology that enables the dissection of biological processes and disease-related phenotypes. The commercial availability of genome-wide, short hairpin RNA (shRNA) libraries has fueled interest in this area but the generation and analysis of these complex data remain a challenge. Here, we describe complete experimental protocols and novel open source computational methodologies, shALIGN and shRNAseq, that allow RNAi screens to be rapidly deconvoluted using next generation sequencing. Our computational pipeline offers efficient screen analysis and the flexibility and scalability to quickly incorporate future developments in shRNA library technology.     

High-throughput characterization and quality control of small-molecule combinatorial libraries

To fully realize the potential of combinatorial synthesis and high-throughput screening for increasing the efficiency of the drug discovery and development process, issues related to compound purity must be addressed. Impurities, often present after synthesis, can lead to ambiguous screening results and inhibit the development of quality structure-activity relationships. The demand for high-throughput analytical characterization of combinatorial libraries has prompted the development of more rapid methods to keep pace with compound production. Recent progress has focused upon the development of parallel separation methods, multiplexed detector interfaces, and synergistic combinations of different detectors possessing complementary selectivities.     

High-throughput assessment of transgene copy number in sugarcane using real-time quantitative PCR

Accurate and timely detection of transgene copy number in sugarcane is currently hampered by the requirement to use Southern blotting, needing relatively large amounts of genomic DNA and, therefore, the continued growth and maintenance of bulky plants in containment glasshouses. In addition, the sugarcane genome is both polyploid and aneuploid, complicating the identification of appropriate genes for use as references in the development of a high-throughput method. Using bioinformatic techniques followed by in vitro testing, two genes that appear to occur once per base genome of sugarcane were identified. Using these genes as reference genes, a high-throughput assay employing RT-qPCR was developed and tested using a group of sugarcane plants that contained unknown numbers of copies of the nptII gene encoding kanamycin resistance. Using this assay, transgene copy numbers from 3 to more than 50 were identified. In comparison, Southern blotting accurately identified the number of transgene copies for one line and by inference for another, but was not able to provide an accurate estimation for transgenic lines containing numerous copies of the nptII gene. Using the reference genes identified in this study, a high-throughput assay for the determination of transgene copy number was developed and tested for sugarcane. This method requires much less input DNA, can be performed much earlier in the production of transgenic sugarcane plants and allows much more efficient assessment of numerous potentially transgenic lines than Southern blotting.     

High-throughput screening and characterization of clones selected from phage display libraries.

BACKGROUND: Clones from phage display libraries are generally selected by a number of rounds of panning and regrowth, followed by primary screening to identify hits and secondary characterization to identify clones with optimal affinity and specificity. Because functional screening for binding or other activity can be material-, time-, and labor-intensive, sequencing is often used to identify the emergence of a consensus sequence prior functional characterization. However, the consensus sequence is not always the optimal one because factors such as phage growth rates, nonspecific binding, and other selection pressures can bias the selection process. METHODS: To improve function-based phage display library screening and characterization, we developed a multiplexed approach employing optically-encoded microsphere arrays and flow cytometry. RESULTS: We show that capture of phage from crude culture supernatants enables the efficient screening of binding activity and the evaluation of binding avidity. The approach uses small volumes and a homogeneous no-wash format that minimizes reagent consumption and sample handling. The use of optically-encoded microspheres allows many phage to be screened simultaneously, greatly increasing throughput. CONCLUSIONS: This approach is flexible, supporting primary and secondary screening for a range of functional assays, and scalable, potentially supporting the screening of thousands to hundreds of thousands of clones per hour.     

High-throughput assessment of mitochondrial membrane potential in situ using fluorescence resonance energy transfer

Mitochondrial dysfunction causes dozens of debilitating diseases, and is implicated in the etiology of type 2 diabetes, Parkinson's, and Alzheimer's diseases, among others. However, development of mitochondrially targeted therapeutic agents has been impeded by the lack of high-throughput screening techniques that are capable of distinguishing in intact cells the mitochondrial membrane potential (deltapsi(m)) from the plasma membrane potential, (deltapsi(p)). We report here a fluorescence resonance energy transfer (FRET) assay that specifically monitors deltapsi(m) that is not confounded by background signal arising from potentiometric dye responding to deltapsi(p). The technique relies on energy transfer between nonyl acridine orange (NAO), which stains diphosphatidyl glycerol (cardiolipin) that is indigenous to the inner mitochondrial membrane, and tetramethylrhodamine methyl ester (TMR), a potentiometric dye that is sequestered by mitochondria as a Nernstian function of deltapsi(m) and concentration. FRET occurs only when both dyes co-localize to the mitochondria, and results in quenching of NAO emission by TMR in proportion to deltapsi(m). Validation studies using compounds with well-characterized mitochondrial effects, including oligomycin, CCCP+, bongkrekic acid, cyclosporin A, nigericin, ADP, and ruthenium red, demonstrate that the FRET-based deltapsi(m) assay responds in accord with the known pharmacology. Validation studies assessing the suitability of the technique for high-throughput compound screening indicate that the assay provides a sensitive and robust assessment not only of mitochondrial integrity in situ, but also, when used in conjunction with agents such as cyclosporin A, an indicator of permeability transition.     

High-throughput generation of synthetic antibodies from highly functional minimalist phage-displayed libraries

We have previously established a minimalist approach to antibody engineering by using a phage-displayed framework to support complementarity determining region (CDR) diversity restricted to a binary code of tyrosine and serine. Here, we systematically augmented the original binary library with additional levels of diversity and examined the effects. The diversity of the simplest library, in which only heavy chain CDR positions were randomized by the binary code, was expanded in a stepwise manner by adding diversity to the light chain, by diversifying non-paratope residues that may influence CDR conformations, and by adding additional chemical diversity to CDR-H3. The additional diversity incrementally improved the affinities of antibodies raised against human vascular endoethelial growth factor and the structure of an antibody-antigen complex showed that tyrosine side-chains are sufficient to mediate most of the interactions with antigen, but a glycine residue in CDR-H3 was critical for providing a conformation suitable for high-affinity binding. Using new high-throughput procedures and the most complex library, we produced multiple high-affinity antibodies with dissociation constants in the single-digit nanomolar range against a wide variety of protein antigens. Thus, this fully synthetic, minimalist library has essentially recapitulated the capacity of the natural immune system to generate high-affinity antibodies. Libraries of this type should be highly useful for proteomic applications, as they minimize inherent complexities of natural antibodies that have hindered the establishment of high-throughput procedures. Furthermore, analysis of a large number of antibodies derived from these well-defined and simplistic libraries allowed us to uncover statistically significant trends in CDR sequences, which provide valuable insights into antibody library design and into factors governing protein-protein interactions.     

Long-term, efficient inhibition of microRNA function in mice using rAAV vectors

Understanding the function of individual microRNA (miRNA) species in mice would require the production of hundreds of loss-of-function strains. To accelerate analysis of miRNA biology in mammals, we combined recombinant adeno-associated virus (rAAV) vectors with miRNA 'tough decoys' (TuDs) to inhibit specific miRNAs. Intravenous injection of rAAV9 expressing anti-miR-122 or anti-let-7 TuDs depleted the corresponding miRNA and increased its mRNA targets. rAAV producing anti-miR-122 TuD but not anti-let-7 TuD reduced serum cholesterol by >30% for 25 weeks in wild-type mice. High-throughput sequencing of liver miRNAs from the treated mice confirmed that the targeted miRNAs were depleted and revealed that TuDs induced miRNA tailing and trimming in vivo. rAAV-mediated miRNA inhibition thus provides a simple way to study miRNA function in adult mammals and a potential therapy for dyslipidemia and other diseases caused by miRNA deregulation.     

High-throughput protein purification and quality assessment for crystallization

The ultimate goal of structural biology is to understand the structural basis of proteins in cellular processes. In structural biology, the most critical issue is the availability of high-quality samples. "Structural biology-grade" proteins must be generated in the quantity and quality suitable for structure determination using X-ray crystallography or nuclear magnetic resonance (NMR) spectroscopy. The purification procedures must reproducibly yield homogeneous proteins or their derivatives containing marker atom(s) in milligram quantities. The choice of protein purification and handling procedures plays a critical role in obtaining high-quality protein samples. With structural genomics emphasizing a genome-based approach in understanding protein structure and function, a number of unique structures covering most of the protein folding space have been determined and new technologies with high efficiency have been developed. At the Midwest Center for Structural Genomics (MCSG), we have developed semi-automated protocols for high-throughput parallel protein expression and purification. A protein, expressed as a fusion with a cleavable affinity tag, is purified in two consecutive immobilized metal affinity chromatography (IMAC) steps: (i) the first step is an IMAC coupled with buffer-exchange, or size exclusion chromatography (IMAC-I), followed by the cleavage of the affinity tag using the highly specific Tobacco Etch Virus (TEV) protease; the second step is IMAC and buffer exchange (IMAC-II) to remove the cleaved tag and tagged TEV protease. These protocols have been implemented on multidimensional chromatography workstations and, as we have shown, many proteins can be successfully produced in large-scale. All methods and protocols used for purification, some developed by MCSG, others adopted and integrated into the MCSG purification pipeline and more recently the Center for Structural Genomics of Infectious Diseases (CSGID) purification pipeline, are discussed in this chapter.     

植物microRNA的生物合成和调控功能

植物microRNA(miRNA)是一类21～24个核苷酸长度的小RNA分子。它的生物合成机制及其对植物生长发育的重要调控作用是人们普遍关注的科学问题和深入探索的研究对象。目前,RNA分子生物学在理论和技术上日趋完善,正在成为一门独立的新兴学科,对生物相关学科的发展产生了重要影响。其中,植物miRNA的生物合成和调控功能是植物小RNA分子生物学的核心问题之一。该文提供植物miRNA领域的最新研究成果,在此基础上对未来的学科发展提出新的建议。     

High-throughput microsatellite isolation through 454 GS-FLX Titanium pyrosequencing of enriched DNA libraries

Microsatellites (or SSRs: simple sequence repeats) are among the most frequently used DNA markers in many areas of research. The use of microsatellite markers is limited by the difficulties involved in their de novo isolation from species for which no genomic resources are available. We describe here a high-throughput method for isolating microsatellite markers based on coupling multiplex microsatellite enrichment and next-generation sequencing on 454 GS-FLX Titanium platforms. The procedure was calibrated on a model species (Apis mellifera) and validated on 13 other species from various taxonomic groups (animals, plants and fungi), including taxa for which severe difficulties were previously encountered using traditional methods. We obtained from 11,497 to 34,483 sequences depending on the species and the number of detected microsatellite loci ranged from 199 to 5791. We thus demonstrated that this procedure can be readily and successfully applied to a large variety of taxonomic groups, at much lower cost than would have been possible with traditional protocols. This method is expected to speed up the acquisition of high-quality genetic markers for nonmodel organisms.     

Prediction of personalized microRNA activity

MicroRNAs have been known to regulate almost all physiological and pathological processes by suppressing their target genes. In humans, more than 1000 microRNAs have been identified, each of which targets dozens or even hundreds of genes. Facing this huge repertoire of microRNA targeting, it is important to identify which microRNAs are active, i.e., down-regulating their targets, in specific physiological or pathological conditions. Predicting active microRNAs is different from predicting microRNA targets because the authentic target genes of a microRNA are often not directly and solely regulated by that microRNA, leading to inconsistent expression changes between the microRNA and its true targets. Several computational programs have been proposed to predict the activity of a microRNA from the expressions of its target genes. These programs performed well when being applied on the expression data obtained from distinct tissue types or from experiments that transfect a microRNA into cells (i.e., non-physiological). But the performance of microRNA activity prediction is not clear on the expression data from the same tissue type in two physiological conditions, e.g., liver tissues from cancer patients and healthy people. In this work, we evaluate the performance of two microRNA activity prediction programs using seven expression data sets, all of which compare samples in two physiological conditions, as well as propose a new approach that predicts microRNA activity with an accuracy of over 80%. Unlike current methods, which predict active microRNAs by comparing two groups of samples, e.g., tumor versus normal, our new approach compares each diseased sample with all the samples in the control group. In other words, it can predict the microRNA activity of a person. In this work, this new application is named to predict “personalized microRNA activity”.     

High-throughput screening of activity and enantioselectivity of esterases

A procedure for the high-throughput screening of esterases is described. This includes enzyme expression in microtiter plates and the measurement of activity and enantioselectivity (E) of the esterase variants using acetates of secondary alcohols as model substrates. Acetic acid released is converted in an enzyme cascade leading to the stoichiometric formation of NADH, which is quantified in a spectrophotometer. The method allows screening of several thousand mutants per day and has already been successfully applied to identify an esterase mutant with an E>100 toward an important building block for organic synthesis. This protocol can also be used for lipases and possibly other hydrolases that are expressed in soluble form in conventional Escherichia coli strains. This protocol can be completed in 3-4 days.