Computational analysis of full-length mouse cDNAs compared with human genome sequences

The RNA continent

Recent progress in the analyses of the mouse transcriptome leads to unexpected discoveries. The mouse genomic sequences read by RNA polymerase II may be six times more than previously expected for human chromosomes. The transcript-abundant regions (named "transcription forests") occupy more than half of the genomic sequence and are divided by transcript-scarce regions (transcription deserts). Many of the coding mRNAs may have partially overlapping antisense RNAs. There are transcripts bridging several adjacent genes that were previously regarded as distinct ones. The transcription start sites appearing as cap analysis of gene expression (CAGE) tags are mapped on the mouse genomic sequences. Distributions of CAGE tags show that the shapes of mammalian gene promoters can be classified into four major categories. These shapes were conserved between mouse and human. Most of the gene has exonic transcription start sites, especially in the 3' untranslated region (3' UTR) sequences. The term "RNA continent" has been invented to express this unexpectedly complex and prodigious mouse transcriptome. More than a half of the RNA polymerase II transcripts are regarded as noncoding RNAs (ncRNAs). The great variety of ncRNAs in mammalian transcriptome implies that there are many functional ncRNAs in the cells. Especially, the evolutionarily conserved microRNAs play critical roles in mammalian development and other biological functions. Moreover, many other ncRNAs have also been shown to have biological significant functions, mainly in the regulation of gene expression. The functional survey of the RNA continent has just started. We will describe the state of the art of the RNA continent and its impact on the modern molecular biology, especially on the cancer research.

The Riken mouse genome encyclopedia project

The Riken mouse genome encyclopedia a comprehensive full-length cDNA collection and sequence database. High-level functional annotation is based on sequence homology search, expression profiling, mapping and protein-protein interactions. More than 1000000 clones prepared from 163 tissues were end-sequenced and classified into 128000 clusters, and 60000 representative clones were fully sequenced representing 24000 clear protein-encoding genes. The application of the mouse genome database for positional cloning and gene network regulation analysis is reported.

Systematic genome-wide approach to positional candidate cloning for identification of novel human disease genes

BACKGROUND

Recent large-scale genome projects afford a unique opportunity to identify many novel disease genes and thereby better understand the genetic basis of human disease. Functional Annotation of Mouse (FANTOM) 2, the largest mouse transcriptome project yet, provides a wealth of data on novel genes, splice variants and non-coding RNA, and provides a unique opportunity to identify novel human disease genes.

AIMS

To demonstrate the power of combining the FANTOM 2 cDNA dataset with a positional candidate approach and bioinformatics analysis to identify genes underlying human genetic disease.

RESULTS

By mapping all FANTOM 2 cDNA to the human genome, we were able to identify mouse clones that co-localised on the human genome with mapped but uncloned human disease loci. By this method we identified mouse and corresponding human genes mapping within the loci of 100 different human genetic diseases (mapped interval of <5 cM). Of particular interest was the elucidation through FANTOM 2 novel mouse gene data of candidate human genes for the following: (i) developmental -disorders: neural tube defect, Meckel syndrome, Wolf--Hirschhorn syndrome and keratosis follicularis spinulosa decalvans cum ophiasi; (ii) neurological disorders: benign familial infantile convulsions 3, early-onset cerebellar ataxia with retained tendon reflexes, infantile-onset spinocerebellar ataxia and vacuolar neuro-myopathy and (iii) cancer-related syndromes: tylosis with oesophageal cancer and low-grade B-cell chronic lymphatic leukaemia.

CONCLUSIONS

The FANTOM 2 data will dramatically accelerate efforts to identify genes underlying human disease. It will also facilitate the creation of transgenic mouse models to help elucidate the function of potential human disease genes.

Establishment of a sepsis model following implantation ofKlebsiella pneumoniae-infected fibrin clot into the peritoneal cavity of mice

Successful establishment of sepsis by entrapping a dose of 150 colony forming units of Klebsiella pneumoniae in a fibrin clot following implantation into the peritoneal cavity of mice is reported. The dose in the fibrin clot gave 50% mortality in mice, spread over a period of one week. All the infected mice showed positive blood culture up to 6 d post-infection; histopathology revealed inflammatory changes in both liver and spleen. Introduction of K. pneumoniae into experimental mice without entrapment in fibrin clot caused no mortality and blood culture remained positive only up to 2 d; histopathology of liver and spleen throughout the period of study showed relatively mild inflammatory changes, which almost cleared during 14 d post-infection. The use of the fibrin-clot model may thus be considered to be useful in studying both the initial and the persisting stage of infection in the peritoneum, whence a slow release of bacteria into the blood takes place which finally leads to sepsis and septicemia.

Impact of alternative initiation, splicing, and termination on the diversity of the mRNA transcripts encoded by the mouse transcriptome

We analyzed the FANTOM2 clone set of 60,770 RIKEN full-length mouse cDNA sequences and 44,122 public mRNA sequences. We developed a new computational procedure to identify and classify the forms of splice variation evident in this data set and organized the results into a publicly accessible database that can be used for future expression array construction, structural genomics, and analyses of the mechanism and regulation of alternative splicing. Statistical analysis shows that at least 41% and possibly as much as 60% of multiexon genes in mouse have multiple splice forms. Of the transcription units with multiple splice forms, 49% contain transcripts in which the apparent use of an alternative transcription start (stop) is accompanied by alternative splicing of the initial (terminal) exon. This implies that alternative transcription may frequently induce alternative splicing. The fact that 73% of all exons with splice variation fall within the annotated coding region indicates that most splice variation is likely to affect the protein form. Finally, we compared the set of constitutive (present in all transcripts) exons with the set of cryptic (present only in some transcripts) exons and found statistically significant differences in their length distributions, the nucleotide distributions around their splice junctions, and the frequencies of occurrence of several short sequence motifs.

RIKEN mouse genome encyclopedia

We have been working to establish the comprehensive mouse full-length cDNA collection and sequence database to cover as many genes as we can, named Riken mouse genome encyclopedia. Recently we are constructing higher-level annotation (Functional ANnoTation Of Mouse cDNA; FANTOM) not only with homology search based annotation but also with expression data profile, mapping information and protein-protein database. More than 1,000,000 clones prepared from 163 tissues were end-sequenced to classify into 159,789 clusters and 60,770 representative clones were fully sequenced. As a conclusion, the 60,770 sequences contained 33,409 unique. The next generation of life science is clearly based on all of the genome information and resources. Based on our cDNA clones we developed the additional system to explore gene function. We developed cDNA microarray system to print all of these cDNA clones, protein-protein interaction screening system, protein-DNA interaction screening system and so on. The integrated database of all the information is very useful not only for analysis of gene transcriptional network and for the connection of gene to phenotype to facilitate positional candidate approach. In this talk, the prospect of the application of these genome resourced should be discussed. More information is available at the web page: http://genome.gsc.riken.go.jp/.

Splice variation in mouse full-length cDNAs identified by mapping to the mouse genome

We mapped the collection of The Institute of Physical and Chemical Research (Japan) (RIKEN) 21,076 full-length mouse cDNA clone sequences and the mouse RefSeq sequences to the recently completed draft of the mouse genome. Using this mapping, we identified 3674 mouse genes with multiple transcripts, of which 1098 have splice variants. All but 532 of 21,076 clones (97.5%) mapped to the genome assembly. Alignments of cDNA clone sequences with proteins show that much of the detected splice variation alters coding regions and affects the translated protein. We developed novel analytical techniques to classify observed splice variation and to assess the relation between splice variation and alternative transcription. This analysis indicates that an alternative choice of transcription start or polyadenylation signal frequently induces splice variation.

Bioinformatics for the genomic sciences and towards systems biology. Japanese activities in the post-genome era

The knowledge gleaned from genome sequencing and post-genome analyses is having a very significant impact on a whole range of life sciences and their applications. 'Genome-wide analysis' is a good keyword to represent this tendency. Thanks to innovations in high-throughput measurement technologies and information technologies, genome-wide analysis is becoming available in a broad range of research fields from DNA sequences, gene and protein expressions, protein structures and interactions, to pathways or networks analysis. In fact, the number of research targets has increased by more than two orders in recent years and we should change drastically the attitude to research activities. The scope and speed of research activities are expanding and the field of bioinformatics is playing an important role. In parallel with the data-driven research approach that focuses on speedy handling and analyzing of the huge amount of data, a new approach is gradually gaining power. This is a 'model-driven research' approach, that incorporates biological modeling in its research framework. Computational simulations of biological processes play a pivotal role. By modeling and simulating, this approach aims at predicting and even designing the dynamic behaviors of complex biological systems, which is expected to make rapid progress in life science researches and lead to meaningful applications to various fields such as health care, food supply and improvement of environment. Genomic sciences are now advancing as great frontiers of research and applications in the 21st century. This article starts with surveying the general progress of bioinformatics (Section 1), and describes Japanese activities in bioinformatics (Section 2). In Section 3, I will introduce recent developments in Systems Biology which I think will become more important in the future.