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Ryutaro Fukumura

Publications and source records attributed to Ryutaro Fukumura.

9 recordsLinked to original sources

More than 40,000 transcripts, including novel and noncoding transcripts, in mouse embryonic stem cells.

To study the transcriptome of embryonic stem cells, we used a new gene expression profiling method that can measure the expression levels of unknown and rarely expressed transcripts precisely. We detected a total of 33,136 signal peaks representing transcripts in mouse embryonic stem cells, E14. Subsequent random cloning of the peaks suggests that mouse embryonic stem cells express at least 40,000 transcripts, of which about 2,000 are still unknown. In addition, we identified 1,022 noncoding transcripts, several of which change depending on differentiation in gene expression. Our database provides a high-resolution expression profile of E14 cells and is applicable to other mouse embryonic stem cell analyses. It includes most transcription regulation factor-encoding genes and a significant number of unknown and noncoding transcripts.

Animals↗

Identification of genes that express in response to light exposure and express rhythmically in a circadian manner in the mouse suprachiasmatic nucleus.

Most biological phenomena, including behavior and metabolic pathways, are governed by an internal clock system that is circadian (i.e., with a period of approximately 24 h) and is reset by light exposure from outside. In order to understand the molecular basis of the resetting mechanism of the clock, we attempted to isolate light-inducible transcripts in the suprachiasmatic nucleus, where the master clock resides, using a new gene expression profiling procedure. We identified 87 such transcripts, successfully cloned 60 of them and confirmed their light inducibility. Six of the 60 were already known to be light inducible and 17 are protein-coding transcripts registered in the public database that were not known to be light inducible. Induction is subjective night specific in most of the transcripts. Interestingly, 6 of the transcripts exhibit rhythmic expression in a circadian manner in the suprachiasmatic nucleus.

Animals↗

A normalization strategy applied to HiCEP (an AFLP-based expression profiling) analysis: toward the strict alignment of valid fragments across electrophoretic patterns.

BACKGROUND: Gene expression analysis based on comparison of electrophoretic patterns is strongly dependent on the accuracy of DNA fragment sizing. The current normalization strategy based on molecular weight markers has limited accuracy because marker peaks are often masked by intense peaks nearby. Cumulative errors in fragment lengths cause problems in the alignment of same-length fragments across different electropherograms, especially for small fragments (< 100 bp). For accurate comparison of electrophoretic patterns, further inspection and normalization of electrophoretic data after fragment sizing by conventional strategies is needed. RESULTS: Here we describe a method for the normalization of a set of time-course electrophoretic data to be compared. The method uses Gaussian curves fitted to the complex peak mixtures in each electropherogram. It searches for target ranges for which patterns are dissimilar to the other patterns (called "dissimilar ranges") and for references (a kind of mean or typical pattern) in the set of resultant approximate patterns. It then constructs the optimal normalized pattern whose correlation coefficient against the reference in the range achieves the highest value among various combinations of candidates. We applied the procedure to time-course electrophoretic data produced by HiCEP, an AFLP-based expression profiling method which can detect a slight expression change in DNA fragments. We obtained dissimilar ranges whose electrophoretic patterns were obviously different from the reference and as expected, most of the fragments in the detected ranges were short (< 100 bp). The normalized electrophoretic patterns also agreed well with reference patterns. CONCLUSION: The normalization strategy presented here demonstrates the importance of pre-processing before electrophoretic signal comparison, and we anticipate its usefulness especially for temporal expression analysis by the electrophoretic method.

Algorithms↗

Restricted expression and photic induction of a novel mouse regulatory factor X4 transcript in the suprachiasmatic nucleus.

The regulatory factor X (RFX) family of transcription factors is characterized by a unique and highly conserved 76-amino acid residue DNA-binding domain. Mammals have five RFX genes, but the physiological functions of their products are unknown, with the exception of RFX5. Here a mouse RFX4 transcript was identified that encodes a peptide of 735 amino acids, including the DNA-binding domain. Its expression was localized in the suprachiasmatic nucleus, the central pacemaker site of the circadian clock. Also, light exposure was found to induce its gene expression in a subjective night-specific manner. Polyclonal antibodies were prepared, and an 80-kDa band was detected in the suprachiasmatic nucleus by Western hybridization. A histochemical study showed a localization of the products in the nucleus. This is the first report on mouse RFX4, which contains the RFX DNA-binding motif. Our investigation may provide clues to the physiological function of RFX4.

Amino Acid Motifs↗

A sensitive transcriptome analysis method that can detect unknown transcripts.

We have developed an AFLP-based gene expression profiling method called 'high coverage expression profiling' (HiCEP) analysis. By making improvements to the selective PCR technique we have reduced the rate of false positive peaks to approximately 4% and consequently the number of peaks, including overlapping peaks, has been markedly decreased. As a result we can determine the relationship between peaks and original transcripts unequivocally. This will make it practical to prepare a database of all peaks, allowing gene assignment without having to isolate individual peaks. This precise selection also enables us to easily clone peaks of interest and predict the corresponding gene for each peak in some species. The procedure is highly reproducible and sensitive enough to detect even a 1.2-fold difference in gene expression. Most importantly, the low false positive rate enables us to analyze gene expression with wide coverage by means of four instead of six nucleotide recognition site restriction enzymes for fingerprinting mRNAs. Therefore, the method detects 70-80% of all transcripts, including non-coding transcripts, unknown and known genes. Moreover, the method requires no sequence information and so is applicable even to eukaryotes for which there is no genome information available.

Animals↗

Growth retardation and skin abnormalities of the Recql4-deficient mouse.

Mutations in the Recql4 gene are very likely responsible for a subset of Rothmund-Thomson syndrome (RTS) cases, but until now there has been no animal model to confirm this. Knockout mice in which the Recql4 gene is disrupted at exons 5-8 exhibit embryonic lethality at embryonic day 3.5-6.5. We generated a helicase activity-inhibited mouse by deleting exon 13 of Recql4, which is one of the coding exons of the consensus RecQ-helicase domain. This domain is the primary site of mutations that have been identified in RTS patients. The exon 13-deleted Recql4-deficient mice are viable, but exhibit severe growth retardation and abnormalities in several tissues, and embryonic fibroblasts show a defect in cell proliferation. Abnormalities in the Recql4-deficient mice are similar to those in RTS patients, suggesting that defects in the Recql4 gene may indeed be responsible for RTS. We speculate that the loss of Recql4 helicase activity results in the prematurely aged appearance observed in some RecQ helicase diseases.

Adenosine Triphosphatases↗

Mouse dexamethasone-induced RAS protein 1 gene is expressed in a circadian rhythmic manner in the suprachiasmatic nucleus.

We identified the Dexamethasone-induced RAS protein 1 (Dexras1) gene as a cycling gene in the suprachiasmatic nucleus (SCN). Investigation of the whole brain using in situ hybridization demonstrated the localization of the expression of the gene in the SCN, thalamus, piriform cortex and hippocampus. However, rhythmic expression of the gene was observed only in the SCN. The rhythmic change in gene expression during 1 day was approximately five-fold, and the maximum expression was observed during subjective night. Real-time PCR using the SCN, paraventricular nucleus and cortex confirmed these results. Next, we analyzed the expression of the Dexras1 gene in the SCN of cryptochrome (Cry) 1 and 2 double knockout mice. We found that the rhythmic expression disappeared. The results indicate that Dexras1 rhythmicity and levels are dependent upon CRYs. This is the first time that the G protein, which may be involved in the input pathway, has been isolated as a cycling gene in the SCN.

Animals↗

Sequence analysis of 193.4 and 83.9 kbp of mouse and chicken genomic DNAs containing the entire Prkdc (DNA-PKcs) gene.

The catalytic subunit of DNA-dependent protein kinase plays critical roles in nonhomologous end joining in repair of DNA double-strand breaks and V(D)J recombination. In addition to the SCID phenotype, it has been suggested that the molecule contributes to the polymorphic variations in radiosensitivity and susceptibility to cancer in mouse strains. Here we show the nucleotide sequence of approximately 193-kbp and 84-kbp genomic regions encoding the entire Prkdc gene (also known as DNA-PKcs) in the mouse and chicken, respectively. A large retroposon was found in intron 51 in the mouse but not in the human or chicken. Comparative analyses of the genome strongly suggested that the region contains only two genes for Prkdc and Mcm4; however, several conserved sequences and cis elements were also predicted.

Animals↗