0610037M15Rik | GeneID:68395 | Mus musculus
Gene Summary
[
] NCBI Entrez Gene
| Gene ID | 68395 | Official Symbol | 0610037M15Rik |
|---|---|---|---|
| Locus | N/A | Gene Type | protein-coding |
| Synonyms | |||
| Full Name | RIKEN cDNA 0610037M15 gene | ||
| Description | RIKEN cDNA 0610037M15 gene | ||
| Chromosome | N/A | ||
| Also Known As | |||
| Summary | N/A | ||
MicroRNA and Targets
[
] MicroRNA Sequences and Transcript Targets from miRBase at Sanger
| RNA Target | miRNA # | mat miRNA | Mature miRNA Sequence |
|---|---|---|---|
| ENSMUST00000091611 | MI0003161 | hsa-miR-517a | AUCGUGCAUCCCUUUAGAGUGU |
| ENSMUST00000091611 | MI0003174 | hsa-miR-517c | AUCGUGCAUCCUUUUAGAGUGU |
| ENSMUST00000091611 | MI0003596 | hsa-miR-548b-3p | CAAGAACCUCAGUUGCUUUUGU |
| ENSMUST00000091611 | MI0003647 | hsa-miR-632 | GUGUCUGCUUCCUGUGGGA |
| ENSMUST00000091611 | MI0005533 | hsa-miR-890 | UACUUGGAAAGGCAUCAGUUG |
| ENSMUST00000091611 | MI0000228 | mmu-miR-186 | CAAAGAAUUCUCCUUUUGGGCU |
| ENSMUST00000091611 | MI0000623 | mmu-miR-340-3p | UCCGUCUCAGUUACUUUAUAGC |
| ENSMUST00000091611 | MI0004965 | mmu-miR-652 | AAUGGCGCCACUAGGGUUGUG |
| ENSMUST00000091611 | MI0004681 | mmu-miR-697 | AACAUCCUGGUCCUGUGGAGA |
| ENSMUST00000091611 | MI0005476 | mmu-miR-883a-3p | UAACUGCAACAGCUCUCAGUAU |
| ENSMUST00000091611 | MI0005477 | mmu-miR-883b-3p | UAACUGCAACAUCUCUCAGUAU |
| ENSMUST00000091611 | MI0000147 | mmu-miR-99b* | CAAGCUCGUGUCUGUGGGUCCG |
Selected Publications
[
] Gene-related publications indexed at PubMed
- [
] Carninci P, et al. (2005) "The transcriptional landscape of the mammalian genome." Science. 309(5740):1559-1563. PMID:16141072 - [
] Katayama S, et al. (2005) "Antisense transcription in the mammalian transcriptome." Science. 309(5740):1564-1566. PMID:16141073 - [
] Okazaki Y, et al. (2002) "Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs." Nature. 420(6915):563-573. PMID:12466851 - [
] Strausberg RL, et al. (2002) "Generation and initial analysis of more than 15,000 full-length human and mouse cDNA sequences." Proc Natl Acad Sci U S A. 99(26):16899-16903. PMID:12477932 - [
] Kawai J, et al. (2001) "Functional annotation of a full-length mouse cDNA collection." Nature. 409(6821):685-690. PMID:11217851 - [
] Carninci P, et al. (2000) "Normalization and subtraction of cap-trapper-selected cDNAs to prepare full-length cDNA libraries for rapid discovery of new genes." Genome Res. 10(10):1617-1630. PMID:11042159 - [
] Shibata K, et al. (2000) "RIKEN integrated sequence analysis (RISA) system--384-format sequencing pipeline with 384 multicapillary sequencer." Genome Res. 10(11):1757-1771. PMID:11076861 - [
] Carninci P, et al. (1999) "High-efficiency full-length cDNA cloning." Methods Enzymol. 303():19-44. PMID:10349636 - [
] Cai W, et al. (1996) "Sequence and transcription of Qa-2-encoding genes in mouse lymphocytes and blastocysts." Immunogenetics. 45(2):97-107. PMID:8952959 - [
] Weiss EH, et al. (1984) "Organization and evolution of the class I gene family in the major histocompatibility complex of the C57BL/10 mouse." Nature. 310(5979):650-655. PMID:6088985
This study describes comprehensive polling of transcription start and termination sites and analysis of previously unidentified full-length complementary DNAs derived from the mouse genome. We identify the 5' and 3' boundaries of 181,047 transcripts with extensive variation in transcripts arising from alternative promoter usage, splicing, and polyadenylation. There are 16,247 new mouse protein-coding transcripts, including 5154 encoding previously unidentified proteins. Genomic mapping of the transcriptome reveals transcriptional forests, with overlapping transcription on both strands, separated by deserts in which few transcripts are observed. The data provide a comprehensive platform for the comparative analysis of mammalian transcriptional regulation in differentiation and development.
Antisense transcription (transcription from the opposite strand to a protein-coding or sense strand) has been ascribed roles in gene regulation involving degradation of the corresponding sense transcripts (RNA interference), as well as gene silencing at the chromatin level. Global transcriptome analysis provides evidence that a large proportion of the genome can produce transcripts from both strands, and that antisense transcripts commonly link neighboring "genes" in complex loci into chains of linked transcriptional units. Expression profiling reveals frequent concordant regulation of sense/antisense pairs. We present experimental evidence that perturbation of an antisense RNA can alter the expression of sense messenger RNAs, suggesting that antisense transcription contributes to control of transcriptional outputs in mammals.
Only a small proportion of the mouse genome is transcribed into mature messenger RNA transcripts. There is an international collaborative effort to identify all full-length mRNA transcripts from the mouse, and to ensure that each is represented in a physical collection of clones. Here we report the manual annotation of 60,770 full-length mouse complementary DNA sequences. These are clustered into 33,409 'transcriptional units', contributing 90.1% of a newly established mouse transcriptome database. Of these transcriptional units, 4,258 are new protein-coding and 11,665 are new non-coding messages, indicating that non-coding RNA is a major component of the transcriptome. 41% of all transcriptional units showed evidence of alternative splicing. In protein-coding transcripts, 79% of splice variations altered the protein product. Whole-transcriptome analyses resulted in the identification of 2,431 sense-antisense pairs. The present work, completely supported by physical clones, provides the most comprehensive survey of a mammalian transcriptome so far, and is a valuable resource for functional genomics.
The National Institutes of Health Mammalian Gene Collection (MGC) Program is a multiinstitutional effort to identify and sequence a cDNA clone containing a complete ORF for each human and mouse gene. ESTs were generated from libraries enriched for full-length cDNAs and analyzed to identify candidate full-ORF clones, which then were sequenced to high accuracy. The MGC has currently sequenced and verified the full ORF for a nonredundant set of >9,000 human and >6,000 mouse genes. Candidate full-ORF clones for an additional 7,800 human and 3,500 mouse genes also have been identified. All MGC sequences and clones are available without restriction through public databases and clone distribution networks (see http:mgc.nci.nih.gov).
The RIKEN Mouse Gene Encyclopaedia Project, a systematic approach to determining the full coding potential of the mouse genome, involves collection and sequencing of full-length complementary DNAs and physical mapping of the corresponding genes to the mouse genome. We organized an international functional annotation meeting (FANTOM) to annotate the first 21,076 cDNAs to be analysed in this project. Here we describe the first RIKEN clone collection, which is one of the largest described for any organism. Analysis of these cDNAs extends known gene families and identifies new ones.
In the effort to prepare the mouse full-length cDNA encyclopedia, we previously developed several techniques to prepare and select full-length cDNAs. To increase the number of different cDNAs, we introduce here a strategy to prepare normalized and subtracted cDNA libraries in a single step. The method is based on hybridization of the first-strand, full-length cDNA with several RNA drivers, including starting mRNA as the normalizing driver and run-off transcripts from minilibraries containing highly expressed genes, rearrayed clones, and previously sequenced cDNAs as subtracting drivers. Our method keeps the proportion of full-length cDNAs in the subtracted/normalized library high. Moreover, our method dramatically enhances the discovery of new genes as compared to results obtained by using standard, full-length cDNA libraries. This procedure can be extended to the preparation of full-length cDNA encyclopedias from other organisms.
The RIKEN high-throughput 384-format sequencing pipeline (RISA system) including a 384-multicapillary sequencer (the so-called RISA sequencer) was developed for the RIKEN mouse encyclopedia project. The RISA system consists of colony picking, template preparation, sequencing reaction, and the sequencing process. A novel high-throughput 384-format capillary sequencer system (RISA sequencer system) was developed for the sequencing process. This system consists of a 384-multicapillary auto sequencer (RISA sequencer), a 384-multicapillary array assembler (CAS), and a 384-multicapillary casting device. The RISA sequencer can simultaneously analyze 384 independent sequencing products. The optical system is a scanning system chosen after careful comparison with an image detection system for the simultaneous detection of the 384-capillary array. This scanning system can be used with any fluorescent-labeled sequencing reaction (chain termination reaction), including transcriptional sequencing based on RNA polymerase, which was originally developed by us, and cycle sequencing based on thermostable DNA polymerase. For long-read sequencing, 380 out of 384 sequences (99.2%) were successfully analyzed and the average read length, with more than 99% accuracy, was 654.4 bp. A single RISA sequencer can analyze 216 kb with >99% accuracy in 2.7 h (90 kb/h). For short-read sequencing to cluster the 3' end and 5' end sequencing by reading 350 bp, 384 samples can be analyzed in 1.5 h. We have also developed a RISA inoculator, RISA filtrator and densitometer, RISA plasmid preparator which can handle throughput of 40,000 samples in 17.5 h, and a high-throughput RISA thermal cycler which has four 384-well sites. The combination of these technologies allowed us to construct the RISA system consisting of 16 RISA sequencers, which can process 50,000 DNA samples per day. One haploid genome shotgun sequence of a higher organism, such as human, mouse, rat, domestic animals, and plants, can be revealed by seven RISA systems within one month.
The protein product of the mouse preimplantation embryo development (Ped) gene, which controls the rate of preimplantation embryonic cleavage division and subsequent embryo survival, is the Qa-2 antigen. This major histocompatibility complex (MHC) class I b protein is encoded by four genes, Q6, Q7, Q8, and Q9. The present study was undertaken to begin to elucidate which of the four Qa-2-encoding genes are responsible for the Ped gene phenotype in the C57BL/6 mouse (H2(b)). First, restriction maps of the four genes, using 25 restriction enzymes, were created. The RE maps confirmed that Q6 is similar to Q8 and Q7 is similar to Q9, but that the Q6/Q8 gene pair differs from the Q7/Q9 gene pair. The genomic DNA sequences of Q6 and Q8 were determined, as well as the DNA sequences of exons 4 - 8 of Q9, and the 5' regulatory regions of Q6, Q8, and Q9. This DNA sequence information, combined with the published DNA sequence information for the entire Q7 gene and exons 1 - 3 of Q9, allowed us to design primers for reverse transcription-polymerase chain reaction that could distinguish which of the four genes were transcribed in mouse lymphocytes and embryos. It was found that all four genes are transcribed in lymphocytes, but only Q7 and Q9 are transcribed in mouse embryos. Thus, both Q7 and Q9 are candidates for the genes responsible for the Ped gene phenotype.
The major histocompatibility complex (MHC) encodes several classes of protein vital to the regulation of the immune response. We have isolated 26 class I genes that map to this region in the C57BL/10 mouse and linked these into three gene clusters. The number of genes differs from the number found in the BALB/c strain and comparison of the organization of the class I genes in these two strains shows conserved regions and polymorphic regions which probably result from deletions, insertions and translocations within the MHC.