Rimantas Kodzius

Genome-wide analysis of mammalian promoter architecture and evolution

Mammalian promoters can be separated into two classes, conserved TATA box–enriched promoters, which initiate at a well-defined site, and more plastic, broad and evolvable CpG-rich promoters. We have sequenced tags corresponding to several hundred thousand transcription start sites (TSSs) in the mouse and human genomes, allowing precise analysis of the sequence architecture and evolution of distinct promoter classes. Different tissues and families of genes differentially use distinct types of promoters. Our tagging methods allow quantitative analysis of promoter usage in different tissues and show that differentially regulated alternative TSSs are a common feature in protein-coding genes and commonly generate alternative N termini. Among the TSSs, we identified new start sites associated with the majority of exons and with 3′ UTRs. These data permit genome-scale identification of tissue-specific promoters and analysis of the cis-acting elements associated with them.

Cap analysis gene expression for high-throughput analysis of transcriptional starting point and identification of promoter usage

We introduce cap analysis gene expression (CAGE), which is based on preparation and sequencing of concatamers of DNA tags deriving from the initial 20 nucleotides from 5′ end mRNAs. CAGE allows high-throughout gene expression analysis and the profiling of transcriptional start points (TSP), including promoter usage analysis. By analyzing four libraries (brain, cortex, hippocampus, and cerebellum), we redefined more accurately the TSPs of 11-27% of the analyzed transcriptional units that were hit. The frequency of CAGE tags correlates well with results from other analyses, such as serial analysis of gene expression, and furthermore maps the TSPs more accurately, including in tissue-specific cases. The high-throughput nature of this technology paves the way for understanding gene networks via correlation of promoter usage and gene transcriptional factor expression.

CAGE: cap analysis of gene expression.

1Laboratory for Genome Exploration Research Group, RIKEN Genomic Sciences Center (GSC), Yokohama Institute 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan. 2 Genome Science Laboratory, RIKEN, Wako main campus, 2-1 Hirosawa Wako, Saitama, 351-0198, Japan. 3 K.K. Dnaform, Tsukuba Branch, 3-1 Chuo 8-chome, Ami Machi, Inashiki Gun, Ibaraki, 300-0332, Japan. 4Present address: Vaxine Pty Ltd., Department of Diabetes and Endocrinology, Flinders Medical Centre, Bedford Park, Southern Australia 5042, Australia. Correspondence should be addressed to Y.H. (rgscerg@gsc.riken.jp), P.C. (rgscerg@gsc.riken.jp) or M.H. (matthias. harbers@dnaforminc.com).

Extraction, amplification and detection of DNA in microfluidic chip-based assays

AbstractThis review covers three aspects of PCR-based microfluidic chip assays: sample preparation, target amplification, and product detection. We also discuss the challenges related to the miniaturization and integration of each assay and make a comparison between conventional and microfluidic schemes. In order to accomplish these essential assays without human intervention between individual steps, the micro-components for fluid manipulation become critical. We therefore summarize and discuss components such as microvalves (for fluid regulation), pumps (for fluid driving) and mixers (for blending fluids). By combining the above assays and microcomponents, DNA testing of multi-step bio-reactions in microfluidic chips may be achieved with minimal external control. The combination of assay schemes with the use of micro-components also leads to rapid methods for DNA testing via multi-step bioreactions. Contains 259 references. FigureA graphical presentation of main PCR assays: DNA extraction from raw sample, target amplification by PCR and final product detection in conventional bench-top lab and miniaturized microfluidic chip.

Rapid Identification of Allergen-Encoding cDNA Clones by Phage Display and High-Density Arrays

We describe a high-throughput, quantitative technology for fast identification of all different clones present in selectively enriched phage surface-displayed cDNA libraries. The strategy is based on a combination of phage display and high-density arrays. To demonstrate the utility of the method cDNAs of Aspergillus fumigatus cloned into phagemid pJuFo were expressed on the tip of filamentous M13 phage and affinity-selected on solid phase-immobilized serum IgE from allergic patients. Enriched phagemid libraries were amplified in bacteria, plated and arrayed into 384-well microtitre plates by robotic colony picking. cDNA inserts were amplified by high-throughput PCR and gridded onto high-density filter membranes. Filters were iteratively probed with randomly-sequenced inserts until all clones were identified. Eighty-one different sequences encoding IgE-binding proteins likely to cover a large part of the allergen repertoire of the mould were found. This approach represents a widely applicable method for rapid high-throughput identification of all individual cDNAs present in selectively enriched libraries.

The powerful combination of phage surface display of cDNA libraries and high throughput screening.

Phage surface display of cDNA libraries facilitates cloning, expression and rapid selection of functional gene products physically linked to their genetic information through gene product-ligand interactions. Efficient screening technologies based on selective enrichment of clones expressing desired gene products allows, within a short time, the isolation of all ligand-specific clones that are present in a library. Manual identification of clones by restriction analysis and random sequencing is unlike to be successful for the isolation of gene products derived from rare mRNA species resulting from selection of the libraries using polyvalent ligands like serum from patients. Here we describe rapid handling of large numbers of individual clones selected from molecular libraries displayed on phage surface using the power of robotics-based high throughput screening. The potential of the combination of cDNA-phage surface display, with selection for specific interactions by functional screening and robotic technology is illustrated by the isolation of more sequences potentially encoding IgE-binding proteins than postulated from Western blot analyses using extracts derived from raw material of complex allergenic sources. The subsequent application of functional enrichment and robotics-based screening will facilitate the rapid generation of information about the repertoire of protein structures involved in allergic diseases.

Tapping allergen repertoires by advanced cloning technologies.

Background: Complex allergenic sources such as moulds, foods and mites contain complex panels of IgE-binding molecules which need to be cloned, produced and characterized in order to mimic the entire allergenicity of whole extracts reconstituted by mixing single standardized recombinant allergens. Methods: Phage surface display of cDNA libraries selectively enriched for allergen-expressing clones using IgE from allergic patients allows rapid isolation of large panels of allergens. For the characterization of all different clones present in enriched cDNA libraries in a fast and cost-effective way, high-throughput screening technology is required. Results: The combination of selective enrichment of cDNA libraries based on biopanning against serum IgE from sensitized patients and automated robot technology for picking and high-density gridding of clones onto filter membranes, followed by hybridization, enables fast identification of all the different clones present in an enriched library. The consequent application of selective enrichment and robotic-based screening allows, within weeks, cloning and characterization of the whole allergenic repertoire of any organisms. Conclusions: Robotic-based high-throughput screening of clones selected for IgE-binding capacity from phage surface-displayed cDNA libraries of Aspergillus fumigatus, Cladosporium herbarum, Coprinus comatus, Malassezia furfur, peanut and human lung tissue allowed rapid characterization of 81, 28, 37, 27, 8 and 151 different sequences, respectively. All these cDNAs bear a high probability to encode allergens derived from the respective allergenic source.

Large Number of Ultraconserved Elements Were Already Present in the Jawed Vertebrate Ancestor

Stephen (2008) identified 13,736 ultraconserved elements (UCEs) in placental mammals and investigated their evolution in opossum, chicken, frog, and fugu. They found that there was a massive expansion of UCEs during tetrapod evolution and the substitution rate in UCEs showed a significant decline in tetrapods compared with fugu, suggesting they were exapted in tetrapods. They considered it unlikely that these elements are ancient but evolved at a higher rate in teleost fishes. In this study, we investigated the evolution of UCEs in a cartilaginous fish, the elephant shark and show that nearly half the UCEs were present in the jawed vertebrate ancestor. The substitution rate in UCEs is higher in fugu than in elephant shark, and approximately one-third of ancient UCEs have diverged beyond recognition in teleost fishes. These data indicate that UCEs have evolved at a higher rate in teleost fishes, which may have implications for their vast diversity and evolutionary success.

Direct Selection of cDNAs from Filamentous Phage Surface Display Libraries: Potential and Limitations

Over the past decade, powerful technologies devoted to survey large molecular libraries for the presence of specific clones using the discriminative power of affinity selection have been developed. Phage surface display technology is the most established of these methods and has revolutionised our ability to select agonistic and antagonistic peptides, antibodies with desired specificity and other drug targets. Thereby ligands are expressed as fusions to phage coat proteins and their respective genes are packaged within the phage. The basic concept of linking the phenotype, expressed as gene product displayed on the phage coat, to its genetic information integrated into the phage genome, creates fusion proteins covalently associated with the infectious particle itself. Binding of the phage to the target molecule offers a selective system by which rare phage carrying the desired gene product can be selected from large phage populations carrying inappropriate sequences. Phage selected in this fashion can be used for subsequent rounds of selection because they are able to self-replicate in suitable host cells, yielding target-specific phage populations after several consecutive rounds of affinity selection. Over 1500 publications describe the use of phage display technology highlighting its performance. Phage display possesses certain limitations, including its use for selection of genes from cDNA libraries that has lagged behind, despite the many accomplishments of this technology. Here we discuss recent progress in construction and screening of cDNA libraries displayed on phage surface and emerging concepts allowing fast identification of virtually all different clones present in enriched libraries.

Absolute expression values for mouse transcripts: re-annotation of the READ expression database by the use of CAGE and EST sequence tags

The RIKEN expression array database (READ) provides comprehensive gene expression data for the mouse, which were obtained as relative values from microarray double‐staining experiments with E17.5 mRNA as common reference. To assign absolute expression values for mouse transcripts within READ, we applied the E17.5 reference sample to CAGE (cap analysis of gene expression) and expressed sequence tag (EST) high‐throughput tag sequencing. Newly assigned values within the READ database were validated by comparison to expression data from serial analysis of gene expression, CAGE and EST experiments. These experiments confirmed the great significance of the absolute expression values within the improved READ database. The new Absolute READ database on absolute expression data is available under http://genome.gsc.riken.jp/absolute.