Home LRRC59
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(Human) GRCh37 - chr17:48458594..48474914 (16.32 kb) View in Genome Browser
(Mouse) NCBIM37 - chr11:94491081..94506530 (15.45 kb) View in Genome Browser
(Rat) RGSC3.4 - chr10:83264264..83278807 (14.54 kb) View in Genome Browser
HaemAtlas Expression Table for LRRC59:|
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 LRRC59:The LRRC59 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 |
| LRRC59 | USP20 | IntAct, BioGRID | empirical | 19615732 |
| LRRC59 | CSNK2A1 | IntAct | empirical | 22113938 |
| LRRC59 | SGOL1 | HPRD | empirical | 16541025 |
| LRRC59 | EGFR | IntAct | empirical | 15657067 |
| LRRC59 | EPB41 | IntAct | empirical | 17353931 |
| LRRC59 | ESR2 | IntAct | empirical | 21182203 |
| LRRC59 | TNIK | IntAct | empirical | 17353931 |
| LRRC59 | RRP1B | BioGRID | empirical | 19710015 |
| LRRC59 | FOS | IntAct | empirical | 20195357 |
| LRRC59 | FTSJ1 | IntAct | empirical | 17353931 |
| LRRC59 | HDGF | IntAct | empirical | 21907836 |
| LRRC59 | HLA-B | IntAct | empirical | 17353931 |
| LRRC59 | EIF6 | IntAct | empirical | 17353931 |
| LRRC59 | MCC | IntAct | empirical | 17353931 |
| LRRC59 | MPG | IntAct | empirical | 17353931 |
| LRRC59 | MTNR1A | HPRD, IntAct | empirical | 17215244 |
| LRRC59 | MYC | BioGRID | empirical | 20848231 |
| LRRC59 | MYD88 | IntAct | empirical | 15102471 |
| LRRC59 | SH3GLB1 | IntAct | empirical | 20562859 |
| LRRC59 | PRKAB1 | IntAct | empirical | 17353931 |
| LRRC59 | TNFRSF1A | MINT, IntAct | empirical | 14743216 |
| LRRC59 | TRAF6 | IntAct | empirical | 17353931 |
| LRRC59 | UBC | BioGRID | empirical | 22178446 21139048 21890473 21906983 |
| LRRC59 | VHL | IntAct | empirical | 17353931 |
| LRRC59 | YWHAB | IntAct | empirical | 16635246 |
| LRRC59 | BCAR3 | IntAct | empirical | 17353931 |
| LRRC59 | CCNA1 | IntAct | empirical | 17353931 |
| LRRC59 | ATG5 | IntAct | empirical | 17353931 |
| LRRC59 | IKBKE | IntAct | empirical | 17353931 |
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Publications: 34
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Integrative analysis of the ubiquitin proteome isolated using Tandem Ubiquitin Binding Entities (TUBEs).
Lopitz-Otsoa F, Rodriguez-Suarez E, Aillet F, Casado-Vela J, Lang V, Matthiesen R, Elortza F, Rodriguez MS
J Proteomics. 2011
PubMed ID: 22178446
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A conditional knockout resource for the genome-wide study of mouse gene function.
Skarnes WC, Rosen B, West AP, Koutsourakis M, Bushell W, Iyer V, Mujica AO, Thomas M, Harrow J, Cox T, Jackson D, Severin J, Biggs P, Fu J, Nefedov M, de Jong PJ, Stewart AF, Bradley A
Nature. 2011
PubMed ID: 21677750
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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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c-Myc stimulates cell invasion by inhibiting FBX8 function.
Cho HJ, Oh YJ, Kwon J, Kwon JY, Kim KS, Kim H
Mol Cells. 2010
PubMed ID: 20848231
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The metastasis efficiency modifier ribosomal RNA processing 1 homolog B (RRP1B) is a chromatin-associated factor.
Crawford NP, Yang H, Mattaini KR, Hunter KW
J Biol Chem. 2009
PubMed ID: 19710015
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Lysine acetylation targets protein complexes and co-regulates major cellular functions.
Choudhary C, Kumar C, Gnad F, Nielsen ML, Rehman M, Walther TC, Olsen JV, Mann M
Science. 2009
PubMed ID: 19608861
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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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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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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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Toward a confocal subcellular atlas of the human proteome.
Barbe L, Lundberg E, Oksvold P, Stenius A, Lewin E, Björling E, Asplund A, Pontén F, Brismar H, Uhlén M, Andersson-Svahn H
Mol Cell Proteomics. 2008
PubMed ID: 18029348
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The layered structure of human mitochondrial DNA nucleoids.
Bogenhagen DF, Rousseau D, Burke S
J Biol Chem. 2008
PubMed ID: 18063578
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Purification and identification of G protein-coupled receptor protein complexes under native conditions.
Daulat AM, Maurice P, Froment C, Guillaume JL, Broussard C, Monsarrat B, Delagrange P, Jockers R
Mol Cell Proteomics. 2007
PubMed ID: 17215244
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Large-scale mapping of human protein-protein interactions by mass spectrometry.
Ewing RM, Chu P, Elisma F, Li H, Taylor P, Climie S, McBroom-Cerajewski L, Robinson MD, O'Connor L, Li M, Taylor R, Dharsee M, Ho Y, Heilbut A, Moore L, Zhang S, Ornatsky O, Bukhman YV, Ethier M, Sheng Y, Vasilescu J, Abu-Farha M, Lambert JP, Duewel HS, Stewart II, Kuehl B, Hogue K, Colwill K, Gladwish K, Muskat B, Kinach R, Adams SL, Moran MF, Morin GB, Topaloglou T, Figeys D
Mol Syst Biol. 2007
PubMed ID: 17353931
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A germline-specific class of small RNAs binds mammalian Piwi proteins.
Girard A, Sachidanandam R, Hannon GJ, Carmell MA
Nature. 2006
PubMed ID: 16751776
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Shugoshin collaborates with protein phosphatase 2A to protect cohesin.
Kitajima TS, Sakuno T, Ishiguro K, Iemura S, Natsume T, Kawashima SA, Watanabe Y
Nature. 2006
PubMed ID: 16541025
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Diversification of transcriptional modulation: large-scale identification and characterization of putative alternative promoters of human genes.
Kimura K, Wakamatsu A, Suzuki Y, Ota T, Nishikawa T, Yamashita R, Yamamoto J, Sekine M, Tsuritani K, Wakaguri H, Ishii S, Sugiyama T, Saito K, Isono Y, Irie R, Kushida N, Yoneyama T, Otsuka R, Kanda K, Yokoi T, Kondo H, Wagatsuma M, Murakawa K, Ishida S, Ishibashi T, Takahashi-Fujii A, Tanase T, Nagai K, Kikuchi H, Nakai K, Isogai T, Sugano S
Genome Res. 2006
PubMed ID: 16344560
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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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Libraries enriched for alternatively spliced exons reveal splicing patterns in melanocytes and melanomas.
Watahiki A, Waki K, Hayatsu N, Shiraki T, Kondo S, Nakamura M, Sasaki D, Arakawa T, Kawai J, Harbers M, Hayashizaki Y, Carninci P
Nat Methods. 2004
PubMed ID: 15782199
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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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Genomic analysis of mouse retinal development.
Blackshaw S, Harpavat S, Trimarchi J, Cai L, Huang H, Kuo WP, Weber G, Lee K, Fraioli RE, Cho SH, Yung R, Asch E, Ohno-Machado L, Wong WH, Cepko CL
PLoS Biol. 2004
PubMed ID: 15226823
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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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Exploring proteomes and analyzing protein processing by mass spectrometric identification of sorted N-terminal peptides.
Gevaert K, Goethals M, Martens L, Van Damme J, Staes A, Thomas GR, Vandekerckhove J
Nat Biotechnol. 2003
PubMed ID: 12665801
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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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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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Large-scale cDNA analysis reveals phased gene expression patterns during preimplantation mouse development.
Ko MS, Kitchen JR, Wang X, Threat TA, Wang X, Hasegawa A, Sun T, Grahovac MJ, Kargul GJ, Lim MK, Cui Y, Sano Y, Tanaka T, Liang Y, Mason S, Paonessa PD, Sauls AD, DePalma GE, Sharara R, Rowe LB, Eppig J, Morrell C, Doi H
Development. 2000
PubMed ID: 10725249
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High-efficiency full-length cDNA cloning.
Carninci P, Hayashizaki Y
Methods Enzymol. 1999
PubMed ID: 10349636
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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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Ribosome-binding protein p34 is a member of the leucine-rich-repeat-protein superfamily.
Ohsumi T, Ichimura T, Sugano H, Omata S, Isobe T, Kuwano R
Biochem J. 1993
PubMed ID: 7690545
Model Organism Phenotype Links
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Relevant resources: