MEPCE
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Other Regions: 1 Available
| Locus | Species | Chromosomal Location | Mb | Number of genes |
|---|---|---|---|---|
| Iddm30 | Rat | chr12:8901318..29369703 | 20.47 | 318 |
(Human) GRCh37 - chr7:100026413..100031749 (5.34 kb) View in Genome Browser
(Mouse) NCBIM37 - chr5:138223134..138227943 (4.81 kb) View in Genome Browser
(Rat) RGSC3.4 - chr12:19848913..19853632 (4.72 kb) View in Genome Browser
HaemAtlas Expression Table for MEPCE:
Expression Legend
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Cell Types Showing Expression: Available
Users should be aware that the scale represents a rank within an experiment rather than a normalized expression signal.
| Human | Mouse | Rat | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ductal cells | exocrine pancreas | pancreatic islets | primary beta cells | Pancreatic Islets MPSS | beta cell line | pancreatic islets | whole pancreas | alpha cell | beta cell line | pancreatic islets | primary beta cells | whole pancreas |
| no data | ||||||||||||
Expression Legend
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The Beta Cell Gene Atlas is a collection of almost all available public microarray data generated with pancreatic beta cells and related cell lines and types. The expression data comes from 131 array analyses derived from 28 experiments (open details in a new window). The basal (untreated cell) expression signal intensity values in each array were converted to ranks within the experiments; the highest value was used for genes represented by more than one probe. The rank values of genes in a given cell type were averaged with other calculated values from experiments performed with the same cell type. The rank transformation of the expression values enable comparison of gene expression across different organisms and tissues.
A red border around a cell indicates greater certainty in the data; specifically, the gene has >0.95 probability of being expressed in the tissue.
Tissues Showing Expression: Available
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Expression Legend
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| Signal intensity values were converted to ranks within the experiments. For genes represented by more than one probeset, we averaged the intensity signals for each probeset across all tissues and chose the probeset with the highest average value. The rank transformation of the expression values enables comparison of gene expression across different organisms and tissues. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Interactions Table for MEPCE:The MEPCE interactions are shown below. Each row lists the two interactors, the sources which document this as an interaction, a classification of the interaction as empirical or predicted, and Pubmed IDs (if any) for the interaction.
The table of interactions is downloadable as a text file. Please note that the text file will not include data from HPRD due to restrictions imposed by the HPRD funding sources.
| Interactor | Interactor | Sources | Classification | Pubmed IDs |
| MEPCE | HNRNPA3P1 | BioGRID | empirical | 17643375 |
| MEPCE | TRIM28 | BioGRID | empirical | 17643375 |
| MEPCE | HNRNPR | BioGRID | empirical | 17643375 |
| MEPCE | CDK9 | BioGRID | empirical | 17643375 |
| MEPCE | PPIH | BioGRID | empirical | 17643375 |
| MEPCE | SYNCRIP | BioGRID | empirical | 17643375 |
| MEPCE | DDX17 | BioGRID | empirical | 17643375 |
| MEPCE | NOP56 | BioGRID | empirical | 17643375 |
| MEPCE | ANP32B | BioGRID | empirical | 17643375 |
| MEPCE | CCT4 | BioGRID | empirical | 17643375 |
| MEPCE | CCT2 | BioGRID | empirical | 17643375 |
| MEPCE | PRPF8 | BioGRID | empirical | 17643375 |
| MEPCE | ARID3B | BioGRID | empirical | 17643375 |
| MEPCE | IGF2BP2 | BioGRID | empirical | 17643375 |
| MEPCE | CCT8 | BioGRID | empirical | 17643375 |
| MEPCE | USP39 | BioGRID | empirical | 17643375 |
| MEPCE | RUVBL2 | BioGRID | empirical | 17643375 |
| MEPCE | MAGED2 | BioGRID | empirical | 17643375 |
| MEPCE | HNRNPA0 | BioGRID | empirical | 17643375 |
| MEPCE | SF3B2 | BioGRID | empirical | 17643375 |
| MEPCE | SNRNP27 | BioGRID | empirical | 17643375 |
| MEPCE | HNRNPUL1 | BioGRID | empirical | 17643375 |
| MEPCE | DDX42 | BioGRID | empirical | 17643375 |
| MEPCE | SNRPD2P1 | BioGRID | empirical | 17643375 |
| MEPCE | HEXIM2 | BioGRID | empirical | 17643375 |
| MEPCE | RN7SK | BioGRID | empirical | 17643375 |
| MEPCE | PARP1 | BioGRID | empirical | 17643375 |
| MEPCE | CSNK2B | BioGRID | empirical | 17643375 |
| MEPCE | C1orf55 | BioGRID | empirical | 17643375 |
| MEPCE | DDX5 | BioGRID | empirical | 17643375 |
| MEPCE | DHX9 | BioGRID | empirical | 17643375 |
| MEPCE | DNM2 | BioGRID | empirical | 17643375 |
| MEPCE | DOCK1 | BioGRID | empirical | 17643375 |
| MEPCE | DTYMK | BioGRID | empirical | 17643375 |
| MEPCE | EIF4A1 | BioGRID | empirical | 17643375 |
| MEPCE | AK2 | BioGRID | empirical | 17643375 |
| MEPCE | FBL | BioGRID | empirical | 17643375 |
| MEPCE | HNRNPUL2 | BioGRID | empirical | 17643375 |
| MEPCE | SNRNP200 | BioGRID | empirical | 17643375 |
| MEPCE | EXOSC2 | BioGRID | empirical | 17643375 |
| MEPCE | PRPF6 | BioGRID | empirical | 17643375 |
| MEPCE | RPAP1 | BioGRID | empirical | 17643375 |
| MEPCE | PRPF31 | BioGRID | empirical | 17643375 |
| MEPCE | LSM3 | BioGRID | empirical | 17643375 |
| MEPCE | SAP30BP | BioGRID | empirical | 17643375 |
| MEPCE | GTF2F1 | BioGRID | empirical | 17643375 |
| MEPCE | GTF2I | BioGRID | empirical | 17643375 |
| MEPCE | HNRNPA1 | BioGRID | empirical | 17643375 |
| MEPCE | HNRNPA2B1 | BioGRID | empirical | 17643375 |
| MEPCE | HNRNPAB | BioGRID | empirical | 17643375 |
| MEPCE | HNRNPD | BioGRID | empirical | 17643375 |
| MEPCE | HNRNPH1 | BioGRID | empirical | 17643375 |
| MEPCE | HNRNPH2 | BioGRID | empirical | 17643375 |
| MEPCE | HNRNPK | BioGRID | empirical | 17643375 |
| MEPCE | HSPA2 | BioGRID | empirical | 17643375 |
| MEPCE | HSPA5 | BioGRID | empirical | 17643375 |
| MEPCE | HSPA6 | BioGRID | empirical | 17643375 |
| MEPCE | HSP90AB1 | BioGRID | empirical | 17643375 |
| MEPCE | ILF2 | BioGRID | empirical | 17643375 |
| MEPCE | KIF5B | BioGRID | empirical | 17643375 |
| MEPCE | ARF6 | BioGRID | empirical | 17643375 |
| MEPCE | KIF11 | BioGRID | empirical | 17643375 |
| MEPCE | KPNA1 | BioGRID | empirical | 17643375 |
| MEPCE | KPNB1 | BioGRID | empirical | 17643375 |
| MEPCE | KPNA2 | BioGRID | empirical | 17643375 |
| MEPCE | KPNA3 | BioGRID | empirical | 17643375 |
| MEPCE | KPNA5 | BioGRID | empirical | 17643375 |
| MEPCE | IPO5 | BioGRID | empirical | 17643375 |
| MEPCE | UBE2NL | BioGRID | empirical | 17643375 |
| MEPCE | SNRPEP2 | BioGRID | empirical | 17643375 |
| MEPCE | NHP2L1 | BioGRID | empirical | 17643375 |
| MEPCE | YBX1 | BioGRID | empirical | 17643375 |
| MEPCE | PCBP2 | BioGRID | empirical | 17643375 |
| MEPCE | YTHDF2 | BioGRID | empirical | 17643375 |
| MEPCE | LARP7 | BioGRID | empirical | 17643375 |
| MEPCE | LUC7L2 | BioGRID | empirical | 17643375 |
| MEPCE | C14orf166 | BioGRID | empirical | 17643375 |
| MEPCE | ZFR | BioGRID | empirical | 17643375 |
| MEPCE | LSM7 | BioGRID | empirical | 17643375 |
| MEPCE | LUC7L3 | BioGRID | empirical | 17643375 |
| MEPCE | TUBA8 | BioGRID | empirical | 17643375 |
| MEPCE | CCDC87 | BioGRID | empirical | 17643375 |
| MEPCE | MOB1A | BioGRID | empirical | 17643375 |
| MEPCE | LRRC40 | BioGRID | empirical | 17643375 |
| MEPCE | IPO9 | BioGRID | empirical | 17643375 |
| MEPCE | CAND1 | BioGRID | empirical | 17643375 |
| MEPCE | MAP2K2 | BioGRID | empirical | 17643375 |
| MEPCE | EXOSC5 | BioGRID | empirical | 17643375 |
| MEPCE | ARHGAP23 | BioGRID | empirical | 17643375 |
| MEPCE | LSM2 | BioGRID | empirical | 17643375 |
| MEPCE | BAX | BioGRID | empirical | 17643375 |
| MEPCE | PURA | BioGRID | empirical | 17643375 |
| MEPCE | RANGAP1 | BioGRID | empirical | 17643375 |
| MEPCE | RFC3 | BioGRID | empirical | 17643375 |
| MEPCE | RFC4 | BioGRID | empirical | 17643375 |
| MEPCE | RFC5 | BioGRID | empirical | 17643375 |
| MEPCE | ACTB | BioGRID | empirical | 17643375 |
| MEPCE | RPL38 | BioGRID | empirical | 17643375 |
| MEPCE | RPLP0 | BioGRID | empirical | 17643375 |
| MEPCE | RPS2 | BioGRID | empirical | 17643375 |
| MEPCE | RPS3 | BioGRID | empirical | 17643375 |
| MEPCE | RPS4X | BioGRID | empirical | 17643375 |
| MEPCE | RPS9 | BioGRID | empirical | 17643375 |
| MEPCE | RPS14 | BioGRID | empirical | 17643375 |
| MEPCE | SET | BioGRID | empirical | 17643375 |
| MEPCE | SRSF3 | BioGRID | empirical | 17643375 |
| MEPCE | TBC1D15 | BioGRID | empirical | 17643375 |
| MEPCE | TUT1 | BioGRID | empirical | 17643375 |
| MEPCE | SNRPA1 | BioGRID | empirical | 17643375 |
| MEPCE | SNRPB | BioGRID | empirical | 17643375 |
| MEPCE | SNRPD3 | BioGRID | empirical | 17643375 |
| MEPCE | SNRPF | BioGRID | empirical | 17643375 |
| MEPCE | SNRPG | BioGRID | empirical | 17643375 |
| MEPCE | SNRPN | BioGRID | empirical | 17643375 |
| MEPCE | SRP68 | BioGRID | empirical | 17643375 |
| MEPCE | SRP72 | BioGRID | empirical | 17643375 |
| MEPCE | U2AF1 | BioGRID | empirical | 17643375 |
| MEPCE | UBC | BioGRID | empirical | 18781797 21890473 |
| MEPCE | USP4 | IntAct, BioGRID | empirical | 19615732 |
| MEPCE | XPO1 | BioGRID | empirical | 17643375 |
| MEPCE | YWHAZ | BioGRID | empirical | 17643375 |
| MEPCE | METTL16 | BioGRID | empirical | 17643375 |
| MEPCE | CDC73 | BioGRID | empirical | 17643375 |
| MEPCE | YRDC | BioGRID | empirical | 17643375 |
| MEPCE | ANP32A | BioGRID | empirical | 17643375 |
| MEPCE | ANP32E | BioGRID | empirical | 17643375 |
| MEPCE | CAPNS1 | BioGRID | empirical | 17643375 |
| MEPCE | CAPZB | BioGRID | empirical | 17643375 |
| MEPCE | NTPCR | BioGRID | empirical | 17643375 |
| MEPCE | SLX4 | IntAct | empirical | 19596235 |
| MEPCE | CSDA | BioGRID | empirical | 17643375 |
| MEPCE | RUVBL1 | BioGRID | empirical | 17643375 |
| MEPCE | CCNT1 | BioGRID | empirical | 17643375 |
| MEPCE | UBE2M | BioGRID | empirical | 17643375 |
| MEPCE | CCNT2 | BioGRID | empirical | 17643375 |
| MEPCE | SART1 | BioGRID | empirical | 17643375 |
| MEPCE | PRPF4 | IntAct, BioGRID | empirical | 19615732 17643375 |
| MEPCE | PRPF3 | BioGRID | empirical | 17643375 |
| MEPCE | ARHGEF1 | BioGRID | empirical | 17643375 |
| MEPCE | TRIP13 | BioGRID | empirical | 17643375 |
| MEPCE | TRIP12 | BioGRID | empirical | 17643375 |
| MEPCE | EFTUD2 | BioGRID | empirical | 17643375 |
| MEPCE | DDX23 | BioGRID | empirical | 17643375 |
| MEPCE | AKAP7 | BioGRID | empirical | 17643375 |
| MEPCE | SART3 | IntAct, BioGRID | empirical | 19615732 17643375 |
| MEPCE | MATR3 | BioGRID | empirical | 17643375 |
| MEPCE | CKAP5 | BioGRID | empirical | 17643375 |
| MEPCE | CDK11B | BioGRID | empirical | 17643375 |
| MEPCE | USP15 | IntAct, BioGRID | empirical | 19615732 |
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Publications: 48
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Initial characterization of the human central proteome.
Burkard TR, Planyavsky M, Kaupe I, Breitwieser FP, Bürckstümmer T, Bennett KL, Superti-Furga G, Colinge J
BMC Syst Biol. 2011
PubMed ID: 21269460
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A capping-independent function of MePCE in stabilizing 7SK snRNA and facilitating the assembly of 7SK snRNP.
Xue Y, Yang Z, Chen R, Zhou Q
Nucleic Acids Res. 2010
PubMed ID: 19906723
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Defining the human deubiquitinating enzyme interaction landscape.
Sowa ME, Bennett EJ, Gygi SP, Harper JW
Cell. 2009
PubMed ID: 19615732
-
Large-scale proteomics analysis of the human kinome.
Oppermann FS, Gnad F, Olsen JV, Hornberger R, Greff Z, Kéri G, Mann M, Daub H
Mol Cell Proteomics. 2009
PubMed ID: 19369195
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Lys-N and trypsin cover complementary parts of the phosphoproteome in a refined SCX-based approach.
Gauci S, Helbig AO, Slijper M, Krijgsveld J, Heck AJ, Mohammed S
Anal Chem. 2009
PubMed ID: 19413330
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Lineage-specific biology revealed by a finished genome assembly of the mouse.
Church DM, Goodstadt L, Hillier LW, Zody MC, Goldstein S, She X, Bult CJ, Agarwala R, Cherry JL, DiCuccio M, Hlavina W, Kapustin Y, Meric P, Maglott D, Birtle Z, Marques AC, Graves T, Zhou S, Teague B, Potamousis K, Churas C, Place M, Herschleb J, Runnheim R, Forrest D, Amos-Landgraf J, Schwartz DC, Cheng Z, Lindblad-Toh K, Eichler EE, Ponting CP, Mouse Genome Sequencing Consortium
PLoS Biol. 2009
PubMed ID: 19468303
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Large scale localization of protein phosphorylation by use of electron capture dissociation mass spectrometry.
Sweet SM, Bailey CM, Cunningham DL, Heath JK, Cooper HJ
Mol Cell Proteomics. 2009
PubMed ID: 19131326
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Quantitative phosphoproteomic analysis of T cell receptor signaling reveals system-wide modulation of protein-protein interactions.
Mayya V, Lundgren DH, Hwang SI, Rezaul K, Wu L, Eng JK, Rodionov V, Han DK
Sci Signal. 2009
PubMed ID: 19690332
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Large-scale gene trapping in C57BL/6N mouse embryonic stem cells.
Hansen GM, Markesich DC, Burnett MB, Zhu Q, Dionne KM, Richter LJ, Finnell RH, Sands AT, Zambrowicz BP, Abuin A
Genome Res. 2008
PubMed ID: 18799693
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Quantitative analysis of global ubiquitination in HeLa cells by mass spectrometry.
Meierhofer D, Wang X, Huang L, Kaiser P
J Proteome Res. 2008
PubMed ID: 18781797
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Kinase-selective enrichment enables quantitative phosphoproteomics of the kinome across the cell cycle.
Daub H, Olsen JV, Bairlein M, Gnad F, Oppermann FS, Körner R, Greff Z, Kéri G, Stemmann O, Mann M
Mol Cell. 2008
PubMed ID: 18691976
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A quantitative atlas of mitotic phosphorylation.
Dephoure N, Zhou C, Villén J, Beausoleil SA, Bakalarski CE, Elledge SJ, Gygi SP
Proc Natl Acad Sci U S A. 2008
PubMed ID: 18669648
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LARP7 is a stable component of the 7SK snRNP while P-TEFb, HEXIM1 and hnRNP A1 are reversibly associated.
Krueger BJ, Jeronimo C, Roy BB, Bouchard A, Barrandon C, Byers SA, Searcey CE, Cooper JJ, Bensaude O, Cohen EA, Coulombe B, Price DH
Nucleic Acids Res. 2008
PubMed ID: 18281698
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Combining protein-based IMAC, peptide-based IMAC, and MudPIT for efficient phosphoproteomic analysis.
Cantin GT, Yi W, Lu B, Park SK, Xu T, Lee JD, Yates JR
J Proteome Res. 2008
PubMed ID: 18220336
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Automated phosphoproteome analysis for cultured cancer cells by two-dimensional nanoLC-MS using a calcined titania/C18 biphasic column.
Imami K, Sugiyama N, Kyono Y, Tomita M, Ishihama Y
Anal Sci. 2008
PubMed ID: 18187866
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Human capping enzyme promotes formation of transcriptional R loops in vitro.
Kaneko S, Chu C, Shatkin AJ, Manley JL
Proc Natl Acad Sci U S A. 2007
PubMed ID: 17978174
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EUCOMM--the European conditional mouse mutagenesis program.
Friedel RH, Seisenberger C, Kaloff C, Wurst W
Brief Funct Genomic Proteomic. 2007
PubMed ID: 17967808
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Systematic analysis of the protein interaction network for the human transcription machinery reveals the identity of the 7SK capping enzyme.
Jeronimo C, Forget D, Bouchard A, Li Q, Chua G, Poitras C, Thérien C, Bergeron D, Bourassa S, Greenblatt J, Chabot B, Poirier GG, Hughes TR, Blanchette M, Price DH, Coulombe B
Mol Cell. 2007
PubMed ID: 17643375
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Large-scale phosphorylation analysis of mouse liver.
Villén J, Beausoleil SA, Gerber SA, Gygi SP
Proc Natl Acad Sci U S A. 2007
PubMed ID: 17242355
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Comparative analysis of the paired immunoglobulin-like receptor (PILR) locus in six mammalian genomes: duplication, conversion, and the birth of new genes.
Wilson MD, Cheung J, Martindale DW, Scherer SW, Koop BF
Physiol Genomics. 2006
PubMed ID: 16926269
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Global, in vivo, and site-specific phosphorylation dynamics in signaling networks.
Olsen JV, Blagoev B, Gnad F, Macek B, Kumar C, Mortensen P, Mann M
Cell. 2006
PubMed ID: 17081983
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A probability-based approach for high-throughput protein phosphorylation analysis and site localization.
Beausoleil SA, Villén J, Gerber SA, Rush J, Gygi SP
Nat Biotechnol. 2006
PubMed ID: 16964243
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Identification of intrahepatic cholangiocarcinoma related genes by comparison with normal liver tissues using expressed sequence tags.
Wang AG, Yoon SY, Oh JH, Jeon YJ, Kim M, Kim JM, Byun SS, Yang JO, Kim JH, Kim DG, Yeom YI, Yoo HS, Kim YS, Kim NS
Biochem Biophys Res Commun. 2006
PubMed ID: 16712791
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BGEM: an in situ hybridization database of gene expression in the embryonic and adult mouse nervous system.
Magdaleno S, Jensen P, Brumwell CL, Seal A, Lehman K, Asbury A, Cheung T, Cornelius T, Batten DM, Eden C, Norland SM, Rice DS, Dosooye N, Shakya S, Mehta P, Curran T
PLoS Biol. 2006
PubMed ID: 16602821
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Antisense transcription in the mammalian transcriptome.
Katayama S, Tomaru Y, Kasukawa T, Waki K, Nakanishi M, Nakamura M, Nishida H, Yap CC, Suzuki M, Kawai J, Suzuki H, Carninci P, Hayashizaki Y, Wells C, Frith M, Ravasi T, Pang KC, Hallinan J, Mattick J, Hume DA, Lipovich L, Batalov S, Engström PG, Mizuno Y, Faghihi MA, Sandelin A, Chalk AM, Mottagui-Tabar S, Liang Z, Lenhard B, Wahlestedt C, RIKEN Genome Exploration Research Group, Genome Science Group (Genome Network Project Core Group), FANTOM Consortium
Science. 2005
PubMed ID: 16141073
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The transcriptional landscape of the mammalian genome.
Carninci P, Kasukawa T, Katayama S, Gough J, Frith MC, Maeda N, Oyama R, Ravasi T, Lenhard B, Wells C, Kodzius R, Shimokawa K, Bajic VB, Brenner SE, Batalov S, Forrest AR, Zavolan M, Davis MJ, Wilming LG, Aidinis V, Allen JE, Ambesi-Impiombato A, Apweiler R, Aturaliya RN, Bailey TL, Bansal M, Baxter L, Beisel KW, Bersano T, Bono H, Chalk AM, Chiu KP, Choudhary V, Christoffels A, Clutterbuck DR, Crowe ML, Dalla E, Dalrymple BP, de Bono B, Della Gatta G, di Bernardo D, Down T, Engstrom P, Fagiolini M, Faulkner G, Fletcher CF, Fukushima T, Furuno M, Futaki S, Gariboldi M, Georgii-Hemming P, Gingeras TR, Gojobori T, Green RE, Gustincich S, Harbers M, Hayashi Y, Hensch TK, Hirokawa N, Hill D, Huminiecki L, Iacono M, Ikeo K, Iwama A, Ishikawa T, Jakt M, Kanapin A, Katoh M, Kawasawa Y, Kelso J, Kitamura H, Kitano H, Kollias G, Krishnan SP, Kruger A, Kummerfeld SK, Kurochkin IV, Lareau LF, Lazarevic D, Lipovich L, Liu J, Liuni S, McWilliam S, Madan Babu M, Madera M, Marchionni L, Matsuda H, Matsuzawa S, Miki H, Mignone F, Miyake S, Morris K, Mottagui-Tabar S, Mulder N, Nakano N, Nakauchi H, Ng P, Nilsson R, Nishiguchi S, Nishikawa S, Nori F, Ohara O, Okazaki Y, Orlando V, Pang KC, Pavan WJ, Pavesi G, Pesole G, Petrovsky N, Piazza S, Reed J, Reid JF, Ring BZ, Ringwald M, Rost B, Ruan Y, Salzberg SL, Sandelin A, Schneider C, Schönbach C, Sekiguchi K, Semple CA, Seno S, Sessa L, Sheng Y, Shibata Y, Shimada H, Shimada K, Silva D, Sinclair B, Sperling S, Stupka E, Sugiura K, Sultana R, Takenaka Y, Taki K, Tammoja K, Tan SL, Tang S, Taylor MS, Tegner J, Teichmann SA, Ueda HR, van Nimwegen E, Verardo R, Wei CL, Yagi K, Yamanishi H, Zabarovsky E, Zhu S, Zimmer A, Hide W, Bult C, Grimmond SM, Teasdale RD, Liu ET, Brusic V, Quackenbush J, Wahlestedt C, Mattick JS, Hume DA, Kai C, Sasaki D, Tomaru Y, Fukuda S, Kanamori-Katayama M, Suzuki M, Aoki J, Arakawa T, Iida J, Imamura K, Itoh M, Kato T, Kawaji H, Kawagashira N, Kawashima T, Kojima M, Kondo S, Konno H, Nakano K, Ninomiya N, Nishio T, Okada M, Plessy C, Shibata K, Shiraki T, Suzuki S, Tagami M, Waki K, Watahiki A, Okamura-Oho Y, Suzuki H, Kawai J, Hayashizaki Y, FANTOM Consortium, RIKEN Genome Exploration Research Group and Genome Science Group (Genome Network Project Core Group)
Science. 2005
PubMed ID: 16141072
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Gene and alternative splicing annotation with AIR.
Florea L, Di Francesco V, Miller J, Turner R, Yao A, Harris M, Walenz B, Mobarry C, Merkulov GV, Charlab R, Dew I, Deng Z, Istrail S, Li P, Sutton G
Genome Res. 2005
PubMed ID: 15632090
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Immunoaffinity profiling of tyrosine phosphorylation in cancer cells.
Rush J, Moritz A, Lee KA, Guo A, Goss VL, Spek EJ, Zhang H, Zha XM, Polakiewicz RD, Comb MJ
Nat Biotechnol. 2005
PubMed ID: 15592455
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The status, quality, and expansion of the NIH full-length cDNA project: the Mammalian Gene Collection (MGC).
Gerhard DS, Wagner L, Feingold EA, Shenmen CM, Grouse LH, Schuler G, Klein SL, Old S, Rasooly R, Good P, Guyer M, Peck AM, Derge JG, Lipman D, Collins FS, Jang W, Sherry S, Feolo M, Misquitta L, Lee E, Rotmistrovsky K, Greenhut SF, Schaefer CF, Buetow K, Bonner TI, Haussler D, Kent J, Kiekhaus M, Furey T, Brent M, Prange C, Schreiber K, Shapiro N, Bhat NK, Hopkins RF, Hsie F, Driscoll T, Soares MB, Casavant TL, Scheetz TE, Brown-stein MJ, Usdin TB, Toshiyuki S, Carninci P, Piao Y, Dudekula DB, Ko MS, Kawakami K, Suzuki Y, Sugano S, Gruber CE, Smith MR, Simmons B, Moore T, Waterman R, Johnson SL, Ruan Y, Wei CL, Mathavan S, Gunaratne PH, Wu J, Garcia AM, Hulyk SW, Fuh E, Yuan Y, Sneed A, Kowis C, Hodgson A, Muzny DM, McPherson J, Gibbs RA, Fahey J, Helton E, Ketteman M, Madan A, Rodrigues S, Sanchez A, Whiting M, Madari A, Young AC, Wetherby KD, Granite SJ, Kwong PN, Brinkley CP, Pearson RL, Bouffard GG, Blakesly RW, Green ED, Dickson MC, Rodriguez AC, Grimwood J, Schmutz J, Myers RM, Butterfield YS, Griffith M, Griffith OL, Krzywinski MI, Liao N, Morin R, Morrin R, Palmquist D, Petrescu AS, Skalska U, Smailus DE, Stott JM, Schnerch A, Schein JE, Jones SJ, Holt RA, Baross A, Marra MA, Clifton S, Makowski KA, Bosak S, Malek J, MGC Project Team
Genome Res. 2004
PubMed ID: 15489334
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Sequence comparison of human and mouse genes reveals a homologous block structure in the promoter regions.
Suzuki Y, Yamashita R, Shirota M, Sakakibara Y, Chiba J, Mizushima-Sugano J, Nakai K, Sugano S
Genome Res. 2004
PubMed ID: 15342556
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Genome sequence of the Brown Norway rat yields insights into mammalian evolution.
Gibbs RA, Weinstock GM, Metzker ML, Muzny DM, Sodergren EJ, Scherer S, Scott G, Steffen D, Worley KC, Burch PE, Okwuonu G, Hines S, Lewis L, DeRamo C, Delgado O, Dugan-Rocha S, Miner G, Morgan M, Hawes A, Gill R, Celera, Holt RA, Adams MD, Amanatides PG, Baden-Tillson H, Barnstead M, Chin S, Evans CA, Ferriera S, Fosler C, Glodek A, Gu Z, Jennings D, Kraft CL, Nguyen T, Pfannkoch CM, Sitter C, Sutton GG, Venter JC, Woodage T, Smith D, Lee HM, Gustafson E, Cahill P, Kana A, Doucette-Stamm L, Weinstock K, Fechtel K, Weiss RB, Dunn DM, Green ED, Blakesley RW, Bouffard GG, De Jong PJ, Osoegawa K, Zhu B, Marra M, Schein J, Bosdet I, Fjell C, Jones S, Krzywinski M, Mathewson C, Siddiqui A, Wye N, McPherson J, Zhao S, Fraser CM, Shetty J, Shatsman S, Geer K, Chen Y, Abramzon S, Nierman WC, Havlak PH, Chen R, Durbin KJ, Egan A, Ren Y, Song XZ, Li B, Liu Y, Qin X, Cawley S, Worley KC, Cooney AJ, D'Souza LM, Martin K, Wu JQ, Gonzalez-Garay ML, Jackson AR, Kalafus KJ, McLeod MP, Milosavljevic A, Virk D, Volkov A, Wheeler DA, Zhang Z, Bailey JA, Eichler EE, Tuzun E, Birney E, Mongin E, Ureta-Vidal A, Woodwark C, Zdobnov E, Bork P, Suyama M, Torrents D, Alexandersson M, Trask BJ, Young JM, Huang H, Wang H, Xing H, Daniels S, Gietzen D, Schmidt J, Stevens K, Vitt U, Wingrove J, Camara F, Mar Albà M, Abril JF, Guigo R, Smit A, Dubchak I, Rubin EM, Couronne O, Poliakov A, Hübner N, Ganten D, Goesele C, Hummel O, Kreitler T, Lee YA, Monti J, Schulz H, Zimdahl H, Himmelbauer H, Lehrach H, Jacob HJ, Bromberg S, Gullings-Handley J, Jensen-Seaman MI, Kwitek AE, Lazar J, Pasko D, Tonellato PJ, Twigger S, Ponting CP, Duarte JM, Rice S, Goodstadt L, Beatson SA, Emes RD, Winter EE, Webber C, Brandt P, Nyakatura G, Adetobi M, Chiaromonte F, Elnitski L, Eswara P, Hardison RC, Hou M, Kolbe D, Makova K, Miller W, Nekrutenko A, Riemer C, Schwartz S, Taylor J, Yang S, Zhang Y, Lindpaintner K, Andrews TD, Caccamo M, Clamp M, Clarke L, Curwen V, Durbin R, Eyras E, Searle SM, Cooper GM, Batzoglou S, Brudno M, Sidow A, Stone EA, Venter JC, Payseur BA, Bourque G, López-Otín C, Puente XS, Chakrabarti K, Chatterji S, Dewey C, Pachter L, Bray N, Yap VB, Caspi A, Tesler G, Pevzner PA, Haussler D, Roskin KM, Baertsch R, Clawson H, Furey TS, Hinrichs AS, Karolchik D, Kent WJ, Rosenbloom KR, Trumbower H, Weirauch M, Cooper DN, Stenson PD, Ma B, Brent M, Arumugam M, Shteynberg D, Copley RR, Taylor MS, Riethman H, Mudunuri U, Peterson J, Guyer M, Felsenfeld A, Old S, Mockrin S, Collins F, Rat Genome Sequencing Project Consortium
Nature. 2004
PubMed ID: 15057822
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Complete sequencing and characterization of 21,243 full-length human cDNAs.
Ota T, Suzuki Y, Nishikawa T, Otsuki T, Sugiyama T, Irie R, Wakamatsu A, Hayashi K, Sato H, Nagai K, Kimura K, Makita H, Sekine M, Obayashi M, Nishi T, Shibahara T, Tanaka T, Ishii S, Yamamoto J, Saito K, Kawai Y, Isono Y, Nakamura Y, Nagahari K, Murakami K, Yasuda T, Iwayanagi T, Wagatsuma M, Shiratori A, Sudo H, Hosoiri T, Kaku Y, Kodaira H, Kondo H, Sugawara M, Takahashi M, Kanda K, Yokoi T, Furuya T, Kikkawa E, Omura Y, Abe K, Kamihara K, Katsuta N, Sato K, Tanikawa M, Yamazaki M, Ninomiya K, Ishibashi T, Yamashita H, Murakawa K, Fujimori K, Tanai H, Kimata M, Watanabe M, Hiraoka S, Chiba Y, Ishida S, Ono Y, Takiguchi S, Watanabe S, Yosida M, Hotuta T, Kusano J, Kanehori K, Takahashi-Fujii A, Hara H, Tanase TO, Nomura Y, Togiya S, Komai F, Hara R, Takeuchi K, Arita M, Imose N, Musashino K, Yuuki H, Oshima A, Sasaki N, Aotsuka S, Yoshikawa Y, Matsunawa H, Ichihara T, Shiohata N, Sano S, Moriya S, Momiyama H, Satoh N, Takami S, Terashima Y, Suzuki O, Nakagawa S, Senoh A, Mizoguchi H, Goto Y, Shimizu F, Wakebe H, Hishigaki H, Watanabe T, Sugiyama A, Takemoto M, Kawakami B, Yamazaki M, Watanabe K, Kumagai A, Itakura S, Fukuzumi Y, Fujimori Y, Komiyama M, Tashiro H, Tanigami A, Fujiwara T, Ono T, Yamada K, Fujii Y, Ozaki K, Hirao M, Ohmori Y, Kawabata A, Hikiji T, Kobatake N, Inagaki H, Ikema Y, Okamoto S, Okitani R, Kawakami T, Noguchi S, Itoh T, Shigeta K, Senba T, Matsumura K, Nakajima Y, Mizuno T, Morinaga M, Sasaki M, Togashi T, Oyama M, Hata H, Watanabe M, Komatsu T, Mizushima-Sugano J, Satoh T, Shirai Y, Takahashi Y, Nakagawa K, Okumura K, Nagase T, Nomura N, Kikuchi H, Masuho Y, Yamashita R, Nakai K, Yada T, Nakamura Y, Ohara O, Isogai T, Sugano S
Nat Genet. 2004
PubMed ID: 14702039
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Wnk1 kinase deficiency lowers blood pressure in mice: a gene-trap screen to identify potential targets for therapeutic intervention.
Zambrowicz BP, Abuin A, Ramirez-Solis R, Richter LJ, Piggott J, BeltrandelRio H, Buxton EC, Edwards J, Finch RA, Friddle CJ, Gupta A, Hansen G, Hu Y, Huang W, Jaing C, Key BW, Kipp P, Kohlhauff B, Ma ZQ, Markesich D, Payne R, Potter DG, Qian N, Shaw J, Schrick J, Shi ZZ, Sparks MJ, Van Sligtenhorst I, Vogel P, Walke W, Xu N, Zhu Q, Person C, Sands AT
Proc Natl Acad Sci U S A. 2003
PubMed ID: 14610273
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A large-scale, gene-driven mutagenesis approach for the functional analysis of the mouse genome.
Hansen J, Floss T, Van Sloun P, Füchtbauer EM, Vauti F, Arnold HH, Schnütgen F, Wurst W, von Melchner H, Ruiz P
Proc Natl Acad Sci U S A. 2003
PubMed ID: 12904583
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The DNA sequence of human chromosome 7.
Hillier LW, Fulton RS, Fulton LA, Graves TA, Pepin KH, Wagner-McPherson C, Layman D, Maas J, Jaeger S, Walker R, Wylie K, Sekhon M, Becker MC, O'Laughlin MD, Schaller ME, Fewell GA, Delehaunty KD, Miner TL, Nash WE, Cordes M, Du H, Sun H, Edwards J, Bradshaw-Cordum H, Ali J, Andrews S, Isak A, Vanbrunt A, Nguyen C, Du F, Lamar B, Courtney L, Kalicki J, Ozersky P, Bielicki L, Scott K, Holmes A, Harkins R, Harris A, Strong CM, Hou S, Tomlinson C, Dauphin-Kohlberg S, Kozlowicz-Reilly A, Leonard S, Rohlfing T, Rock SM, Tin-Wollam AM, Abbott A, Minx P, Maupin R, Strowmatt C, Latreille P, Miller N, Johnson D, Murray J, Woessner JP, Wendl MC, Yang SP, Schultz BR, Wallis JW, Spieth J, Bieri TA, Nelson JO, Berkowicz N, Wohldmann PE, Cook LL, Hickenbotham MT, Eldred J, Williams D, Bedell JA, Mardis ER, Clifton SW, Chissoe SL, Marra MA, Raymond C, Haugen E, Gillett W, Zhou Y, James R, Phelps K, Iadanoto S, Bubb K, Simms E, Levy R, Clendenning J, Kaul R, Kent WJ, Furey TS, Baertsch RA, Brent MR, Keibler E, Flicek P, Bork P, Suyama M, Bailey JA, Portnoy ME, Torrents D, Chinwalla AT, Gish WR, Eddy SR, McPherson JD, Olson MV, Eichler EE, Green ED, Waterston RH, Wilson RK
Nature. 2003
PubMed ID: 12853948
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Human chromosome 7: DNA sequence and biology.
Scherer SW, Cheung J, MacDonald JR, Osborne LR, Nakabayashi K, Herbrick JA, Carson AR, Parker-Katiraee L, Skaug J, Khaja R, Zhang J, Hudek AK, Li M, Haddad M, Duggan GE, Fernandez BA, Kanematsu E, Gentles S, Christopoulos CC, Choufani S, Kwasnicka D, Zheng XH, Lai Z, Nusskern D, Zhang Q, Gu Z, Lu F, Zeesman S, Nowaczyk MJ, Teshima I, Chitayat D, Shuman C, Weksberg R, Zackai EH, Grebe TA, Cox SR, Kirkpatrick SJ, Rahman N, Friedman JM, Heng HH, Pelicci PG, Lo-Coco F, Belloni E, Shaffer LG, Pober B, Morton CC, Gusella JF, Bruns GA, Korf BR, Quade BJ, Ligon AH, Ferguson H, Higgins AW, Leach NT, Herrick SR, Lemyre E, Farra CG, Kim HG, Summers AM, Gripp KW, Roberts W, Szatmari P, Winsor EJ, Grzeschik KH, Teebi A, Minassian BA, Kere J, Armengol L, Pujana MA, Estivill X, Wilson MD, Koop BF, Tosi S, Moore GE, Boright AP, Zlotorynski E, Kerem B, Kroisel PM, Petek E, Oscier DG, Mould SJ, Döhner H, Döhner K, Rommens JM, Vincent JB, Venter JC, Li PW, Mural RJ, Adams MD, Tsui LC
Science. 2003
PubMed ID: 12690205
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Generation and initial analysis of more than 15,000 full-length human and mouse cDNA sequences.
Strausberg RL, Feingold EA, Grouse LH, Derge JG, Klausner RD, Collins FS, Wagner L, Shenmen CM, Schuler GD, Altschul SF, Zeeberg B, Buetow KH, Schaefer CF, Bhat NK, Hopkins RF, Jordan H, Moore T, Max SI, Wang J, Hsieh F, Diatchenko L, Marusina K, Farmer AA, Rubin GM, Hong L, Stapleton M, Soares MB, Bonaldo MF, Casavant TL, Scheetz TE, Brownstein MJ, Usdin TB, Toshiyuki S, Carninci P, Prange C, Raha SS, Loquellano NA, Peters GJ, Abramson RD, Mullahy SJ, Bosak SA, McEwan PJ, McKernan KJ, Malek JA, Gunaratne PH, Richards S, Worley KC, Hale S, Garcia AM, Gay LJ, Hulyk SW, Villalon DK, Muzny DM, Sodergren EJ, Lu X, Gibbs RA, Fahey J, Helton E, Ketteman M, Madan A, Rodrigues S, Sanchez A, Whiting M, Madan A, Young AC, Shevchenko Y, Bouffard GG, Blakesley RW, Touchman JW, Green ED, Dickson MC, Rodriguez AC, Grimwood J, Schmutz J, Myers RM, Butterfield YS, Krzywinski MI, Skalska U, Smailus DE, Schnerch A, Schein JE, Jones SJ, Marra MA, Mammalian Gene Collection Program Team
Proc Natl Acad Sci U S A. 2002
PubMed ID: 12477932
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Analysis of the mouse transcriptome based on functional annotation of 60,770 full-length cDNAs.
Okazaki Y, Furuno M, Kasukawa T, Adachi J, Bono H, Kondo S, Nikaido I, Osato N, Saito R, Suzuki H, Yamanaka I, Kiyosawa H, Yagi K, Tomaru Y, Hasegawa Y, Nogami A, Schönbach C, Gojobori T, Baldarelli R, Hill DP, Bult C, Hume DA, Quackenbush J, Schriml LM, Kanapin A, Matsuda H, Batalov S, Beisel KW, Blake JA, Bradt D, Brusic V, Chothia C, Corbani LE, Cousins S, Dalla E, Dragani TA, Fletcher CF, Forrest A, Frazer KS, Gaasterland T, Gariboldi M, Gissi C, Godzik A, Gough J, Grimmond S, Gustincich S, Hirokawa N, Jackson IJ, Jarvis ED, Kanai A, Kawaji H, Kawasawa Y, Kedzierski RM, King BL, Konagaya A, Kurochkin IV, Lee Y, Lenhard B, Lyons PA, Maglott DR, Maltais L, Marchionni L, McKenzie L, Miki H, Nagashima T, Numata K, Okido T, Pavan WJ, Pertea G, Pesole G, Petrovsky N, Pillai R, Pontius JU, Qi D, Ramachandran S, Ravasi T, Reed JC, Reed DJ, Reid J, Ring BZ, Ringwald M, Sandelin A, Schneider C, Semple CA, Setou M, Shimada K, Sultana R, Takenaka Y, Taylor MS, Teasdale RD, Tomita M, Verardo R, Wagner L, Wahlestedt C, Wang Y, Watanabe Y, Wells C, Wilming LG, Wynshaw-Boris A, Yanagisawa M, Yang I, Yang L, Yuan Z, Zavolan M, Zhu Y, Zimmer A, Carninci P, Hayatsu N, Hirozane-Kishikawa T, Konno H, Nakamura M, Sakazume N, Sato K, Shiraki T, Waki K, Kawai J, Aizawa K, Arakawa T, Fukuda S, Hara A, Hashizume W, Imotani K, Ishii Y, Itoh M, Kagawa I, Miyazaki A, Sakai K, Sasaki D, Shibata K, Shinagawa A, Yasunishi A, Yoshino M, Waterston R, Lander ES, Rogers J, Birney E, Hayashizaki Y, FANTOM Consortium, RIKEN Genome Exploration Research Group Phase I & II Team
Nature. 2002
PubMed ID: 12466851
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Identification and characterization of a novel gene encoding a SEREX antigen in chronic myeloid leukaemia.
Rogers SA, Bowen DJ, Ling M, Thomson P, Wang Z, Lim SH
Br J Haematol. 2002
PubMed ID: 12358911
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Expressed sequence tag analysis of adult human iris for the NEIBank Project: steroid-response factors and similarities with retinal pigment epithelium.
Wistow G, Bernstein SL, Ray S, Wyatt MK, Behal A, Touchman JW, Bouffard G, Smith D, Peterson K
Mol Vis. 2002
PubMed ID: 12107412
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The sequence of the human genome.
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Science. 2001
PubMed ID: 11181995
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Functional annotation of a full-length mouse cDNA collection.
Kawai J, Shinagawa A, Shibata K, Yoshino M, Itoh M, Ishii Y, Arakawa T, Hara A, Fukunishi Y, Konno H, Adachi J, Fukuda S, Aizawa K, Izawa M, Nishi K, Kiyosawa H, Kondo S, Yamanaka I, Saito T, Okazaki Y, Gojobori T, Bono H, Kasukawa T, Saito R, Kadota K, Matsuda H, Ashburner M, Batalov S, Casavant T, Fleischmann W, Gaasterland T, Gissi C, King B, Kochiwa H, Kuehl P, Lewis S, Matsuo Y, Nikaido I, Pesole G, Quackenbush J, Schriml LM, Staubli F, Suzuki R, Tomita M, Wagner L, Washio T, Sakai K, Okido T, Furuno M, Aono H, Baldarelli R, Barsh G, Blake J, Boffelli D, Bojunga N, Carninci P, de Bonaldo MF, Brownstein MJ, Bult C, Fletcher C, Fujita M, Gariboldi M, Gustincich S, Hill D, Hofmann M, Hume DA, Kamiya M, Lee NH, Lyons P, Marchionni L, Mashima J, Mazzarelli J, Mombaerts P, Nordone P, Ring B, Ringwald M, Rodriguez I, Sakamoto N, Sasaki H, Sato K, Schönbach C, Seya T, Shibata Y, Storch KF, Suzuki H, Toyo-oka K, Wang KH, Weitz C, Whittaker C, Wilming L, Wynshaw-Boris A, Yoshida K, Hasegawa Y, Kawaji H, Kohtsuki S, Hayashizaki Y, RIKEN Genome Exploration Research Group Phase II Team and the FANTOM Consortium
Nature. 2001
PubMed ID: 11217851
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RIKEN integrated sequence analysis (RISA) system--384-format sequencing pipeline with 384 multicapillary sequencer.
Shibata K, Itoh M, Aizawa K, Nagaoka S, Sasaki N, Carninci P, Konno H, Akiyama J, Nishi K, Kitsunai T, Tashiro H, Itoh M, Sumi N, Ishii Y, Nakamura S, Hazama M, Nishine T, Harada A, Yamamoto R, Matsumoto H, Sakaguchi S, Ikegami T, Kashiwagi K, Fujiwake S, Inoue K, Togawa Y
Genome Res. 2000
PubMed ID: 11076861
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Normalization and subtraction of cap-trapper-selected cDNAs to prepare full-length cDNA libraries for rapid discovery of new genes.
Carninci P, Shibata Y, Hayatsu N, Sugahara Y, Shibata K, Itoh M, Konno H, Okazaki Y, Muramatsu M, Hayashizaki Y
Genome Res. 2000
PubMed ID: 11042159
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Genome-wide expression profiling of mid-gestation placenta and embryo using a 15,000 mouse developmental cDNA microarray.
Tanaka TS, Jaradat SA, Lim MK, Kargul GJ, Wang X, Grahovac MJ, Pantano S, Sano Y, Piao Y, Nagaraja R, Doi H, Wood WH, Becker KG, Ko MS
Proc Natl Acad Sci U S A. 2000
PubMed ID: 10922068
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High-efficiency full-length cDNA cloning.
Carninci P, Hayashizaki Y
Methods Enzymol. 1999
PubMed ID: 10349636
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Ko MS, Threat TA, Wang X, Horton JH, Cui Y, Wang X, Pryor E, Paris J, Wells-Smith J, Kitchen JR, Rowe LB, Eppig J, Satoh T, Brant L, Fujiwara H, Yotsumoto S, Nakashima H
Hum Mol Genet. 1998
PubMed ID: 9811942
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Normalization and subtraction: two approaches to facilitate gene discovery.
Bonaldo MF, Lennon G, Soares MB
Genome Res. 1996
PubMed ID: 8889548
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