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TRAFD1

Gene Description:   TRAF-type zinc finger domain containing 1; TRAF type zinc finger domain containing 1 Synonyms:   TRAFD1, Trafd1, Fln29, FLN29, 1110008K06Rik Orthologs:   Human TRAFD1 (protein-coding), Mouse Trafd1 (protein-coding), Rat Trafd1 (protein-coding)   Sources Sources Human-Mouse: HomoloGene, MGD, RGD Human-Rat: HomoloGene, MGD, RGD Mouse-Rat: HomoloGene, MGD, RGD, Inparanoid, OrthoMCL Possible sources: HomoloGene, MGD, RGD, Ensembl, Inparanoid, OrthoMCL, KEGG

Regions Overlapping this Feature:  Human: 1 Mouse: 1 Rat: 1

Associated Regions: Available

Regions were calculated based on variants available for a large study with a convincing p-value (P < 5 x 10^-8) +/- 0.1cM, and then these regions were examined for genes based on the current set of T1DBase gene spans.

Region	Species	Chromosomal Location	Mb	Number of genes	Marker
12q24.12	Human	chr12:111287726..113238728	1.95	126	rs3184504

Other Regions: Available

Locus	Species	Chromosomal Location	Mb	Number of genes
Human 12q24.12 Orthologous Region	Mouse	chr5:121453514..122577854	1.12	22
Human 12q24.12 Orthologous Region	Rat	chr12:35633402..36684230	1.05	12

(Human) GRCh37 - chr12:112563305..112591408 (28.10 kb)  View in Genome Browser

(Mouse) NCBIM37 - chr5:121821734..121835641 (13.91 kb)  View in Genome Browser

(Rat) RGSC3.4 - chr12:36301824..36315741 (13.92 kb)  View in Genome Browser

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

Expression Legend   Range 0                                                                                                     100                                                                                                       No Data 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.

Users should be aware that the scale represents a rank within an experiment rather than a normalized expression signal.

Expression Legend

Range 0                                                                                                     100                                                                                                       No Data

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.

Symbols represent expression compared with the overall mean. Please click 'HaemAtlasProfile' link below for associated probe mappings and a detailed profile.

CD Marker EB MK CD66b CD14 CD19 CD8 CD4 CD56 Expression Pattern HaemAtlasProfile

Expression Legend CD Marker Cell Type Lineage EB Erythroblast PRECURSOR MK Megakaryocyte PRECURSOR CD66b Granulocyte MYELOID CD14 Monocyte MYELOID CD19 B Lymphocyte LYMPHOID CD8 Tc Lymphocyte LYMPHOID CD4 Th Lymphocyte LYMPHOID CD56 Natural Killer cell LYMPHOID Symbol Expression Level High Moderate Low Not Detected

Interactions Table for TRAFD1: The TRAFD1 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 TRAFD1   TRAF1   IntAct  empirical  15102471  TRAFD1   TRAF6   HPRD, IntAct  empirical  16221674  TRAFD1   UBC   BioGRID  empirical  16196087

View all

KEGG Network: None available   None available.

Biocarta: None available   None available.

Reactome: None available   None available.

NCI-Nature Pathway Interaction Database: None available   None available.

Gene Ontology: 5   Intracellular GO:0005622 Zinc ion binding GO:0008270 Response to cytokine stimulus GO:0034097 Negative regulation of innate immune response GO:0045824 Metal ion binding GO:0046872

	KEGG Network: None available
	Biocarta: None available
	Reactome: None available
	NCI-Nature Pathway Interaction Database: None available
	Gene Ontology: 5 Intracellular GO:0005622 Zinc ion binding GO:0008270 Response to cytokine stimulus GO:0034097 Negative regulation of innate immune response GO:0045824 Metal ion binding GO:0046872

Type 1 Diabetes Publications: 2

• Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes.
  Todd JA, Walker NM, Cooper JD, Smyth DJ, Downes K, Plagnol V, Bailey R, Nejentsev S, Field SF, Payne F, Lowe CE, Szeszko JS, Hafler JP, Zeitels L, Yang JH, Vella A, Nutland S, Stevens HE, Schuilenburg H, Coleman G, Maisuria M, Meadows W, Smink LJ, Healy B, Burren OS, Lam AA, Ovington NR, Allen J, Adlem E, Leung HT, Wallace C, Howson JM, Guja C, Ionescu-Tîrgovişte C, Genetics of Type 1 Diabetes in Finland, Simmonds MJ, Heward JM, Gough SC, Wellcome Trust Case Control Consortium, Dunger DB, Wicker LS, Clayton DG
  Nat Genet. 2007
  PubMed ID: 17554260
   
  
• Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.
  Wellcome Trust Case Control Consortium
  Nature. 2007
  PubMed ID: 17554300
   
  

Publications: 35

• 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
   
  
• Multiple loci influence erythrocyte phenotypes in the CHARGE Consortium.
  Ganesh SK, Zakai NA, van Rooij FJ, Soranzo N, Smith AV, Nalls MA, Chen MH, Kottgen A, Glazer NL, Dehghan A, Kuhnel B, Aspelund T, Yang Q, Tanaka T, Jaffe A, Bis JC, Verwoert GC, Teumer A, Fox CS, Guralnik JM, Ehret GB, Rice K, Felix JF, Rendon A, Eiriksdottir G, Levy D, Patel KV, Boerwinkle E, Rotter JI, Hofman A, Sambrook JG, Hernandez DG, Zheng G, Bandinelli S, Singleton AB, Coresh J, Lumley T, Uitterlinden AG, Vangils JM, Launer LJ, Cupples LA, Oostra BA, Zwaginga JJ, Ouwehand WH, Thein SL, Meisinger C, Deloukas P, Nauck M, Spector TD, Gieger C, Gudnason V, van Duijn CM, Psaty BM, Ferrucci L, Chakravarti A, Greinacher A, O'Donnell CJ, Witteman JC, Furth S, Cushman M, Harris TB, Lin JP
  Nat Genet. 2009
  PubMed ID: 19862010
   
  
• 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
   
  
• 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
   
  
• 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
   
  
• 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
   
  
• Evaluation of the low-specificity protease elastase for large-scale phosphoproteome analysis.
  Wang B, Malik R, Nigg EA, Körner R
  Anal Chem. 2008
  PubMed ID: 19007248
   
  
• FLN29 deficiency reveals its negative regulatory role in the Toll-like receptor (TLR) and retinoic acid-inducible gene I (RIG-I)-like helicase signaling pathway.
  Sanada T, Takaesu G, Mashima R, Yoshida R, Kobayashi T, Yoshimura A
  J Biol Chem. 2008
  PubMed ID: 18849341
   
  
• 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
   
  
• 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
   
  
• 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
   
  
• 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
   
  
• Global proteomic profiling of phosphopeptides using electron transfer dissociation tandem mass spectrometry.
  Molina H, Horn DM, Tang N, Mathivanan S, Pandey A
  Proc Natl Acad Sci U S A. 2007
  PubMed ID: 17287340
   
  
• 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
   
  
• 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
   
  
• Phosphoproteome analysis of the human mitotic spindle.
  Nousiainen M, Silljé HH, Sauer G, Nigg EA, Körner R
  Proc Natl Acad Sci U S A. 2006
  PubMed ID: 16565220
   
  
• The finished DNA sequence of human chromosome 12.
  Scherer SE, Muzny DM, Buhay CJ, Chen R, Cree A, Ding Y, Dugan-Rocha S, Gill R, Gunaratne P, Harris RA, Hawes AC, Hernandez J, Hodgson AV, Hume J, Jackson A, Khan ZM, Kovar-Smith C, Lewis LR, Lozado RJ, Metzker ML, Milosavljevic A, Miner GR, Montgomery KT, Morgan MB, Nazareth LV, Scott G, Sodergren E, Song XZ, Steffen D, Lovering RC, Wheeler DA, Worley KC, Yuan Y, Zhang Z, Adams CQ, Ansari-Lari MA, Ayele M, Brown MJ, Chen G, Chen Z, Clerc-Blankenburg KP, Davis C, Delgado O, Dinh HH, Draper H, Gonzalez-Garay ML, Havlak P, Jackson LR, Jacob LS, Kelly SH, Li L, Li Z, Liu J, Liu W, Lu J, Maheshwari M, Nguyen BV, Okwuonu GO, Pasternak S, Perez LM, Plopper FJ, Santibanez J, Shen H, Tabor PE, Verduzco D, Waldron L, Wang Q, Williams GA, Zhang J, Zhou J, Allen CC, Amin AG, Anyalebechi V, Bailey M, Barbaria JA, Bimage KE, Bryant NP, Burch PE, Burkett CE, Burrell KL, Calderon E, Cardenas V, Carter K, Casias K, Cavazos I, Cavazos SR, Ceasar H, Chacko J, Chan SN, Chavez D, Christopoulos C, Chu J, Cockrell R, Cox CD, Dang M, Dathorne SR, David R, Davis CM, Davy-Carroll L, Deshazo DR, Donlin JE, D'Souza L, Eaves KA, Egan A, Emery-Cohen AJ, Escotto M, Flagg N, Forbes LD, Gabisi AM, Garza M, Hamilton C, Henderson N, Hernandez O, Hines S, Hogues ME, Huang M, Idlebird DG, Johnson R, Jolivet A, Jones S, Kagan R, King LM, Leal B, Lebow H, Lee S, LeVan JM, Lewis LC, London P, Lorensuhewa LM, Loulseged H, Lovett DA, Lucier A, Lucier RL, Ma J, Madu RC, Mapua P, Martindale AD, Martinez E, Massey E, Mawhiney S, Meador MG, Mendez S, Mercado C, Mercado IC, Merritt CE, Miner ZL, Minja E, Mitchell T, Mohabbat F, Mohabbat K, Montgomery B, Moore N, Morris S, Munidasa M, Ngo RN, Nguyen NB, Nickerson E, Nwaokelemeh OO, Nwokenkwo S, Obregon M, Oguh M, Oragunye N, Oviedo RJ, Parish BJ, Parker DN, Parrish J, Parks KL, Paul HA, Payton BA, Perez A, Perrin W, Pickens A, Primus EL, Pu LL, Puazo M, Quiles MM, Quiroz JB, Rabata D, Reeves K, Ruiz SJ, Shao H, Sisson I, Sonaike T, Sorelle RP, Sutton AE, Svatek AF, Svetz LA, Tamerisa KS, Taylor TR, Teague B, Thomas N, Thorn RD, Trejos ZY, Trevino BK, Ukegbu ON, Urban JB, Vasquez LI, Vera VA, Villasana DM, Wang L, Ward-Moore S, Warren JT, Wei X, White F, Williamson AL, Wleczyk R, Wooden HS, Wooden SH, Yen J, Yoon L, Yoon V, Zorrilla SE, Nelson D, Kucherlapati R, Weinstock G, Gibbs RA, Baylor College of Medicine Human Genome Sequencing Center Sequence Production Team
  Nature. 2006
  PubMed ID: 16541075
   
  
• FLN29, a novel interferon- and LPS-inducible gene acting as a negative regulator of toll-like receptor signaling.
  Mashima R, Saeki K, Aki D, Minoda Y, Takaki H, Sanada T, Kobayashi T, Aburatani H, Yamanashi Y, Yoshimura A
  J Biol Chem. 2005
  PubMed ID: 16221674
   
  
• 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
   
  
• 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
   
  
• 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
   
  
• 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
   
  
• 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
   
  
• 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
   
  
• 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
   
  
• Complete sequencing and characterization of 21,243 full-length human cDNAs.
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