UIMC1
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Linkage Regions: 1 Available
| Locus | Species | Chromosomal Location | Mb | Number of genes | Linkage and Congenic Studies |
|---|---|---|---|---|---|
| Idd14 | Mouse | chr13:25424067..120284312 | 94.86 | 733 | 1 no lod score |
(Human) GRCh37 - chr5:176332006..176449634 (117.63 kb) View in Genome Browser
(Mouse) NCBIM37 - chr13:55129241..55201661 (72.42 kb) View in Genome Browser
(Rat) RGSC3.4 - chr17:15579709..15644888 (65.18 kb) View in Genome Browser
HaemAtlas Expression Table for UIMC1:
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 |
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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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| 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 UIMC1:The UIMC1 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 |
| UIMC1 | G3BP1 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | AMOT | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | DLST | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | ALB | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | F7 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | ERP44 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | FAM175B | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | NR6A1 | HPRD, BioGRID | empirical | 12080054 17416745 |
| UIMC1 | BABAM1 | IntAct, BioGRID | empirical | 19615732 19261749 19261746 21282113 19261748 |
| UIMC1 | SSU72 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | GLTSCR2 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | H2AFX | IntAct | empirical | 18001824 |
| UIMC1 | LOC344382 | BioGRID | empirical | 19615732 |
| UIMC1 | MDM2 | BioGRID | empirical | 19433585 |
| UIMC1 | NRD1 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | PFAS | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | LIN7C | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | WDR48 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | BARD1 | IntAct, BioGRID | empirical | 19615732 17525341 |
| UIMC1 | RAD51 | IntAct | empirical | 17525340 |
| UIMC1 | RBBP8 | IntAct | empirical | 17525340 |
| UIMC1 | RFC4 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | SKIL | HPRD, MINT | empirical | 15231748 |
| UIMC1 | PYCRL | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | BRCA1 | IntAct, BioGRID | empirical | 17525340 19615732 17525342 17525341 21622030 19261748 |
| UIMC1 | TP53 | BioGRID | empirical | 19433585 |
| UIMC1 | UBC | BioGRID | empirical | 17525341 19261749 19261746 20656689 21987572 21963094 21139048 21890473 21906983 |
| UIMC1 | UBE2I | IntAct | empirical | 19549727 |
| UIMC1 | BRCC3 | IntAct, BioGRID | empirical | 19615732 17525341 18077395 19261749 19261746 21282113 20656689 19261748 |
| UIMC1 | THNSL1 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | CAPZA1 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | CAPZB | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | INO80B | HPRD, MINT, IntAct | empirical | 16169070 |
| UIMC1 | FAM175A | HPRD, IntAct, BioGRID | empirical | 17525340 19615732 18077395 19261749 19261746 21282113 20656689 19261748 |
| UIMC1 | DPY30 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | CASK | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | NAE1 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | CCNA2 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | CPNE1 | IntAct | empirical | 19615732 |
| UIMC1 | UBA3 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | COPS2 | IntAct | empirical | 19615732 |
| UIMC1 | BAG5 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | BRE | IntAct, BioGRID | empirical | 19615732 17525341 19261749 19261746 21282113 20656689 19261748 |
| UIMC1 | MDC1 | BioGRID | empirical | 21857162 21622030 |
| UIMC1 | CEP57 | HPRD | empirical | 12954732 |
| UIMC1 | SPATA2 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | CDK1 | IntAct, BioGRID | empirical | 19615732 |
| UIMC1 | G3BP2 | IntAct, BioGRID | empirical | 19615732 |
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Publications: 63
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Ubiquitin ligase substrate identification through quantitative proteomics at both the protein and peptide levels.
Lee KA, Hammerle LP, Andrews PS, Stokes MP, Mustelin T, Silva JC, Black RA, Doedens JR
J Biol Chem. 2011
PubMed ID: 21987572
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Recruitment of proteins to DNA double-strand breaks: MDC1 directly recruits RAP80.
Strauss C, Goldberg M
Cell Cycle. 2011
PubMed ID: 21857162
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MDC1 is ubiquitylated on its tandem BRCT domain and directly binds RAP80 in a UBC13-dependent manner.
Strauss C, Halevy T, Macarov M, Argaman L, Goldberg M
DNA Repair (Amst). 2011
PubMed ID: 21622030
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The BRCA1-RAP80 complex regulates DNA repair mechanism utilization by restricting end resection.
Coleman KA, Greenberg RA
J Biol Chem. 2011
PubMed ID: 21335604
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RAP80-directed tuning of BRCA1 homologous recombination function at ionizing radiation-induced nuclear foci.
Hu Y, Scully R, Sobhian B, Xie A, Shestakova E, Livingston DM
Genes Dev. 2011
PubMed ID: 21406551
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NBA1/MERIT40 and BRE interaction is required for the integrity of two distinct deubiquitinating enzyme BRCC36-containing complexes.
Hu X, Kim JA, Castillo A, Huang M, Liu J, Wang B
J Biol Chem. 2011
PubMed ID: 21282113
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Differential regulation of JAMM domain deubiquitinating enzyme activity within the RAP80 complex.
Patterson-Fortin J, Shao G, Bretscher H, Messick TE, Greenberg RA
J Biol Chem. 2010
PubMed ID: 20656689
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Structural basis for specific recognition of Lys 63-linked polyubiquitin chains by tandem UIMs of RAP80.
Sato Y, Yoshikawa A, Mimura H, Yamashita M, Yamagata A, Fukai S
EMBO J. 2009
PubMed ID: 19536136
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Defining the human deubiquitinating enzyme interaction landscape.
Sowa ME, Bennett EJ, Gygi SP, Harper JW
Cell. 2009
PubMed ID: 19615732
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A regulatory loop composed of RAP80-HDM2-p53 provides RAP80-enhanced p53 degradation by HDM2 in response to DNA damage.
Yan J, Menendez D, Yang XP, Resnick MA, Jetten AM
J Biol Chem. 2009
PubMed ID: 19433585
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Genome-wide association studies identify loci associated with age at menarche and age at natural menopause.
He C, Kraft P, Chen C, Buring JE, Paré G, Hankinson SE, Chanock SJ, Ridker PM, Hunter DJ, Chasman DI
Nat Genet. 2009
PubMed ID: 19448621
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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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Familial breast cancer screening reveals an alteration in the RAP80 UIM domain that impairs DNA damage response function.
Nikkilä J, Coleman KA, Morrissey D, Pylkäs K, Erkko H, Messick TE, Karppinen SM, Amelina A, Winqvist R, Greenberg RA
Oncogene. 2009
PubMed ID: 19305427
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Linkage-specific avidity defines the lysine 63-linked polyubiquitin-binding preference of rap80.
Sims JJ, Cohen RE
Mol Cell. 2009
PubMed ID: 19328070
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NBA1, a new player in the Brca1 A complex, is required for DNA damage resistance and checkpoint control.
Wang B, Hurov K, Hofmann K, Elledge SJ
Genes Dev. 2009
PubMed ID: 19261749
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MERIT40 facilitates BRCA1 localization and DNA damage repair.
Feng L, Huang J, Chen J
Genes Dev. 2009
PubMed ID: 19261748
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MERIT40 controls BRCA1-Rap80 complex integrity and recruitment to DNA double-strand breaks.
Shao G, Patterson-Fortin J, Messick TE, Feng D, Shanbhag N, Wang Y, Greenberg RA
Genes Dev. 2009
PubMed ID: 19261746
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The Rap80-BRCC36 de-ubiquitinating enzyme complex antagonizes RNF8-Ubc13-dependent ubiquitination events at DNA double strand breaks.
Shao G, Lilli DR, Patterson-Fortin J, Coleman KA, Morrissey DE, Greenberg RA
Proc Natl Acad Sci U S A. 2009
PubMed ID: 19202061
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Histone ubiquitination associates with BRCA1-dependent DNA damage response.
Wu J, Huen MS, Lu LY, Ye L, Dou Y, Ljungman M, Chen J, Yu X
Mol Cell Biol. 2009
PubMed ID: 19015238
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Customized treatment in non-small-cell lung cancer based on EGFR mutations and BRCA1 mRNA expression.
Rosell R, Perez-Roca L, Sanchez JJ, Cobo M, Moran T, Chaib I, Provencio M, Domine M, Sala MA, Jimenez U, Diz P, Barneto I, Macias JA, de Las Peñas R, Catot S, Isla D, Sanchez JM, Ibeas R, Lopez-Vivanco G, Oramas J, Mendez P, Reguart N, Blanco R, Taron M
PLoS One. 2009
PubMed ID: 19415121
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Polymorphism in the IL18 gene and epithelial ovarian cancer in non-Hispanic white women.
Palmieri RT, Wilson MA, Iversen ES, Clyde MA, Calingaert B, Moorman PG, Poole C, Anderson AR, Anderson S, Anton-Culver H, Beesley J, Hogdall E, Brewster W, Carney ME, Chen X, Chenevix-Trench G, Chang-Claude J, Cunningham JM, Dicioccio RA, Doherty JA, Easton DF, Edlund CK, Gayther SA, Gentry-Maharaj A, Goode EL, Goodman MT, Kjaer SK, Hogdall CK, Hopkins MP, Jenison EL, Blaakaer J, Lurie G, McGuire V, Menon U, Moysich KB, Ness RB, Pearce CL, Pharoah PD, Pike MC, Ramus SJ, Rossing MA, Song H, Terada KY, Vandenberg D, Vierkant RA, Wang-Gohrke S, Webb PM, Whittemore AS, Wu AH, Ziogas A, Berchuck A, Schildkraut JM, Ovarian Cancer Association Consortium, Australian Cancer Study (Ovarian Cancer Group), Australian Ovarian Cancer Study Group
Cancer Epidemiol Biomarkers Prev. 2008
PubMed ID: 19064572
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RAP80 and RNF8, key players in the recruitment of repair proteins to DNA damage sites.
Yan J, Jetten AM
Cancer Lett. 2008
PubMed ID: 18550271
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Analysis of the genes coding for the BRCA1-interacting proteins, RAP80 and Abraxas (CCDC98), in high-risk, non-BRCA1/2, multiethnic breast cancer cases.
Novak DJ, Sabbaghian N, Maillet P, Chappuis PO, Foulkes WD, Tischkowitz M
Breast Cancer Res Treat. 2008
PubMed ID: 18695986
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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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RAP80 responds to DNA damage induced by both ionizing radiation and UV irradiation and is phosphorylated at Ser 205.
Yan J, Yang XP, Kim YS, Jetten AM
Cancer Res. 2008
PubMed ID: 18519686
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Germline RAP80 mutations and susceptibility to breast cancer.
Akbari MR, Ghadirian P, Robidoux A, Foumani M, Sun Y, Royer R, Zandvakili I, Lynch H, Narod SA
Breast Cancer Res Treat. 2008
PubMed ID: 18306035
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Evaluation of the BRCA1 interacting genes RAP80 and CCDC98 in familial breast cancer susceptibility.
Osorio A, Barroso A, García MJ, Martínez-Delgado B, Urioste M, Benítez J
Breast Cancer Res Treat. 2008
PubMed ID: 18270812
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Ubc13/Rnf8 ubiquitin ligases control foci formation of the Rap80/Abraxas/Brca1/Brcc36 complex in response to DNA damage.
Wang B, Elledge SJ
Proc Natl Acad Sci U S A. 2007
PubMed ID: 18077395
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RAP80 interacts with the SUMO-conjugating enzyme UBC9 and is a novel target for sumoylation.
Yan J, Yang XP, Kim YS, Joo JH, Jetten AM
Biochem Biophys Res Commun. 2007
PubMed ID: 17698038
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RAP80/UIMC1 as cancer-associated antigen: alternative splice variants and their immunogenicity.
Shebzukhov YV, Koroleva EP, Khlgatian SV, Belousov PV, Sazykin AY, Kadachigova TS, Pomerantseva EA, Lagarkova MA, Nedospasov SA, Kuprash DV
Cancer Lett. 2007
PubMed ID: 17562356
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CCDC98 is a BRCA1-BRCT domain-binding protein involved in the DNA damage response.
Kim H, Huang J, Chen J
Nat Struct Mol Biol. 2007
PubMed ID: 17643122
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CCDC98 targets BRCA1 to DNA damage sites.
Liu Z, Wu J, Yu X
Nat Struct Mol Biol. 2007
PubMed ID: 17643121
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The ubiquitin-interacting motif containing protein RAP80 interacts with BRCA1 and functions in DNA damage repair response.
Yan J, Kim YS, Yang XP, Li LP, Liao G, Xia F, Jetten AM
Cancer Res. 2007
PubMed ID: 17621610
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Ubiquitin-binding protein RAP80 mediates BRCA1-dependent DNA damage response.
Kim H, Chen J, Yu X
Science. 2007
PubMed ID: 17525342
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RAP80 targets BRCA1 to specific ubiquitin structures at DNA damage sites.
Sobhian B, Shao G, Lilli DR, Culhane AC, Moreau LA, Xia B, Livingston DM, Greenberg RA
Science. 2007
PubMed ID: 17525341
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Abraxas and RAP80 form a BRCA1 protein complex required for the DNA damage response.
Wang B, Matsuoka S, Ballif BA, Zhang D, Smogorzewska A, Gygi SP, Elledge SJ
Science. 2007
PubMed ID: 17525340
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ATM and ATR substrate analysis reveals extensive protein networks responsive to DNA damage.
Matsuoka S, Ballif BA, Smogorzewska A, McDonald ER, Hurov KE, Luo J, Bakalarski CE, Zhao Z, Solimini N, Lerenthal Y, Shiloh Y, Gygi SP, Elledge SJ
Science. 2007
PubMed ID: 17525332
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Fine mapping of a swine quantitative trait locus for number of vertebrae and analysis of an orphan nuclear receptor, germ cell nuclear factor (NR6A1).
Mikawa S, Morozumi T, Shimanuki S, Hayashi T, Uenishi H, Domukai M, Okumura N, Awata T
Genome Res. 2007
PubMed ID: 17416745
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The full-ORF clone resource of the German cDNA Consortium.
Bechtel S, Rosenfelder H, Duda A, Schmidt CP, Ernst U, Wellenreuther R, Mehrle A, Schuster C, Bahr A, Blöcker H, Heubner D, Hoerlein A, Michel G, Wedler H, Köhrer K, Ottenwälder B, Poustka A, Wiemann S, Schupp I
BMC Genomics. 2007
PubMed ID: 17974005
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Ubiquitin-interaction motifs of RAP80 are critical in its regulation of estrogen receptor alpha.
Yan J, Kim YS, Yang XP, Albers M, Koegl M, Jetten AM
Nucleic Acids Res. 2007
PubMed ID: 17311814
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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 human protein-protein interaction network: a resource for annotating the proteome.
Stelzl U, Worm U, Lalowski M, Haenig C, Brembeck FH, Goehler H, Stroedicke M, Zenkner M, Schoenherr A, Koeppen S, Timm J, Mintzlaff S, Abraham C, Bock N, Kietzmann S, Goedde A, Toksöz E, Droege A, Krobitsch S, Korn B, Birchmeier W, Lehrach H, Wanker EE
Cell. 2005
PubMed ID: 16169070
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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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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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The DNA sequence and comparative analysis of human chromosome 5.
Schmutz J, Martin J, Terry A, Couronne O, Grimwood J, Lowry S, Gordon LA, Scott D, Xie G, Huang W, Hellsten U, Tran-Gyamfi M, She X, Prabhakar S, Aerts A, Altherr M, Bajorek E, Black S, Branscomb E, Caoile C, Challacombe JF, Chan YM, Denys M, Detter JC, Escobar J, Flowers D, Fotopulos D, Glavina T, Gomez M, Gonzales E, Goodstein D, Grigoriev I, Groza M, Hammon N, Hawkins T, Haydu L, Israni S, Jett J, Kadner K, Kimball H, Kobayashi A, Lopez F, Lou Y, Martinez D, Medina C, Morgan J, Nandkeshwar R, Noonan JP, Pitluck S, Pollard M, Predki P, Priest J, Ramirez L, Retterer J, Rodriguez A, Rogers S, Salamov A, Salazar A, Thayer N, Tice H, Tsai M, Ustaszewska A, Vo N, Wheeler J, Wu K, Yang J, Dickson M, Cheng JF, Eichler EE, Olsen A, Pennacchio LA, Rokhsar DS, Richardson P, Lucas SM, Myers RM, Rubin EM
Nature. 2004
PubMed ID: 15372022
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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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Large-scale characterization of HeLa cell nuclear phosphoproteins.
Beausoleil SA, Jedrychowski M, Schwartz D, Elias JE, Villén J, Li J, Cohn MA, Cantley LC, Gygi SP
Proc Natl Acad Sci U S A. 2004
PubMed ID: 15302935
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Functional proteomics mapping of a human signaling pathway.
Colland F, Jacq X, Trouplin V, Mougin C, Groizeleau C, Hamburger A, Meil A, Wojcik J, Legrain P, Gauthier JM
Genome Res. 2004
PubMed ID: 15231748
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Genome sequence of the Brown Norway rat yields insights into mammalian evolution.
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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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Tsp57: a novel gene induced during a specific stage of spermatogenesis.
Kim YS, Nakanishi G, Oudes AJ, Kim KH, Wang H, Kilpatrick DL, Jetten AM
Biol Reprod. 2004
PubMed ID: 12954732
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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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BayGenomics: a resource of insertional mutations in mouse embryonic stem cells.
Stryke D, Kawamoto M, Huang CC, Johns SJ, King LA, Harper CA, Meng EC, Lee RE, Yee A, L'Italien L, Chuang PT, Young SG, Skarnes WC, Babbitt PC, Ferrin TE
Nucleic Acids Res. 2003
PubMed ID: 12520002
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Generation and initial analysis of more than 15,000 full-length human and mouse cDNA sequences.
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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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RAP80, a novel nuclear protein that interacts with the retinoid-related testis-associated receptor.
Yan Z, Kim YS, Jetten AM
J Biol Chem. 2002
PubMed ID: 12080054
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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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Database resources of the National Center for Biotechnology Information.
Wheeler DL, Church DM, Lash AE, Leipe DD, Madden TL, Pontius JU, Schuler GD, Schriml LM, Tatusova TA, Wagner L, Rapp BA
Nucleic Acids Res. 2001
PubMed ID: 11125038
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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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High-efficiency full-length cDNA cloning.
Carninci P, Hayashizaki Y
Methods Enzymol. 1999
PubMed ID: 10349636
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Isolation of proteins that interact specifically with the retinoid X receptor: two novel orphan receptors.
Seol W, Choi HS, Moore DD
Mol Endocrinol. 1995
PubMed ID: 7760852
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