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GLIS3

Gene Description:   GLIS family zinc finger 3 Synonyms:   MGC33662, FLJ90578, ZNF515, E230012L24, Glis3, FLJ38999, E330013K21Rik, 4833409N03Rik, GLIS3 Orthologs:   Human GLIS3 (protein-coding), Mouse Glis3 (protein-coding)   Sources Sources Human-Mouse: HomoloGene, MGD Possible sources: HomoloGene, MGD, RGD, Ensembl, Inparanoid, OrthoMCL, KEGG

Regions Overlapping this Feature:  Human: 1 Mouse: 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
9p24.2	Human	chr9:4228550..4321558	0.09	10	rs7020673

Other Regions: Available

Locus	Species	Chromosomal Location	Mb	Number of genes
Human 9p24.2 Orthologous Region	Mouse	chr19:28704428..28786481	0.08	1

(Human) GRCh37 - chr9:3824127..4348392 (524.26 kb)  View in Genome Browser

(Mouse) NCBIM37 - chr19:28333341..28754567 (421.23 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       no data         no data no data no data no data no data

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 GLIS3: The GLIS3 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 GLIS3   SUFU   HPRD, MINT, IntAct, BioGRID  empirical  16189514  21543335

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: 10   Negative regulation of transcription from RNA polymerase II promoter GO:0000122 DNA binding GO:0003677 Sequence-specific DNA binding transcription factor activity GO:0003700 Intracellular GO:0005622 Nucleus GO:0005634 Transcription from RNA polymerase II promoter GO:0006366 Zinc ion binding GO:0008270 Nuclear part GO:0044428 Positive regulation of transcription from RNA polymerase II promoter GO:0045944 Metal ion binding GO:0046872

	KEGG Network: None available
	Biocarta: None available
	Reactome: None available
	NCI-Nature Pathway Interaction Database: None available
	Gene Ontology: 10 Negative regulation of transcription from RNA polymerase II promoter GO:0000122 DNA binding GO:0003677 Sequence-specific DNA binding transcription factor activity GO:0003700 Intracellular GO:0005622 Nucleus GO:0005634 Transcription from RNA polymerase II promoter GO:0006366 Zinc ion binding GO:0008270 Nuclear part GO:0044428 Positive regulation of transcription from RNA polymerase II promoter GO:0045944 Metal ion binding GO:0046872

Type 1 Diabetes Publications: 10

• Association of genetic Loci with glucose levels in childhood and adolescence: a meta-analysis of over 6,000 children.
  Barker A, Sharp SJ, Timpson NJ, Bouatia-Naji N, Warrington NM, Kanoni S, Beilin LJ, Brage S, Deloukas P, Evans DM, Grontved A, Hassanali N, Lawlor DA, Lecoeur C, Loos RJ, Lye SJ, McCarthy MI, Mori TA, Ndiaye NC, Newnham JP, Ntalla I, Pennell CE, St Pourcain B, Prokopenko I, Ring SM, Sattar N, Visvikis-Siest S, Dedoussis GV, Palmer LJ, Froguel P, Smith GD, Ekelund U, Wareham NJ, Langenberg C
  Diabetes. 2011
  PubMed ID: 21515849
   
  
• Modulation of the transactivation function and stability of Kruppel-like Zinc finger protein Gli-similar 3 (Glis3) by suppressor of fused.
  Zeruth GT, Yang XP, Jetten AM
  J Biol Chem. 2011
  PubMed ID: 21543335
   
  
• Variants at DGKB/TMEM195, ADRA2A, GLIS3 and C2CD4B loci are associated with reduced glucose-stimulated beta cell function in middle-aged Danish people.
  Boesgaard TW, Grarup N, Jørgensen T, Borch-Johnsen K, Meta-Analysis of Glucose and Insulin-Related Trait Consortium (MAGIC), Hansen T, Pedersen O
  Diabetologia. 2010
  PubMed ID: 20419449
   
  
• In silico replication of the genome-wide association results of the Type 1 Diabetes Genetics Consortium.
  Qu HQ, Bradfield JP, Li Q, Kim C, Frackelton E, Grant SF, Hakonarson H, Polychronakos C
  Hum Mol Genet. 2010
  PubMed ID: 20378605
   
  
• New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk.
  Dupuis J, Langenberg C, Prokopenko I, Saxena R, Soranzo N, Jackson AU, Wheeler E, Glazer NL, Bouatia-Naji N, Gloyn AL, Lindgren CM, Mägi R, Morris AP, Randall J, Johnson T, Elliott P, Rybin D, Thorleifsson G, Steinthorsdottir V, Henneman P, Grallert H, Dehghan A, Hottenga JJ, Franklin CS, Navarro P, Song K, Goel A, Perry JR, Egan JM, Lajunen T, Grarup N, Sparsø T, Doney A, Voight BF, Stringham HM, Li M, Kanoni S, Shrader P, Cavalcanti-Proença C, Kumari M, Qi L, Timpson NJ, Gieger C, Zabena C, Rocheleau G, Ingelsson E, An P, O'Connell J, Luan J, Elliott A, McCarroll SA, Payne F, Roccasecca RM, Pattou F, Sethupathy P, Ardlie K, Ariyurek Y, Balkau B, Barter P, Beilby JP, Ben-Shlomo Y, Benediktsson R, Bennett AJ, Bergmann S, Bochud M, Boerwinkle E, Bonnefond A, Bonnycastle LL, Borch-Johnsen K, Böttcher Y, Brunner E, Bumpstead SJ, Charpentier G, Chen YD, Chines P, Clarke R, Coin LJ, Cooper MN, Cornelis M, Crawford G, Crisponi L, Day IN, de Geus EJ, Delplanque J, Dina C, Erdos MR, Fedson AC, Fischer-Rosinsky A, Forouhi NG, Fox CS, Frants R, Franzosi MG, Galan P, Goodarzi MO, Graessler J, Groves CJ, Grundy S, Gwilliam R, Gyllensten U, Hadjadj S, Hallmans G, Hammond N, Han X, Hartikainen AL, Hassanali N, Hayward C, Heath SC, Hercberg S, Herder C, Hicks AA, Hillman DR, Hingorani AD, Hofman A, Hui J, Hung J, Isomaa B, Johnson PR, Jørgensen T, Jula A, Kaakinen M, Kaprio J, Kesaniemi YA, Kivimaki M, Knight B, Koskinen S, Kovacs P, Kyvik KO, Lathrop GM, Lawlor DA, Le Bacquer O, Lecoeur C, Li Y, Lyssenko V, Mahley R, Mangino M, Manning AK, Martínez-Larrad MT, McAteer JB, McCulloch LJ, McPherson R, Meisinger C, Melzer D, Meyre D, Mitchell BD, Morken MA, Mukherjee S, Naitza S, Narisu N, Neville MJ, Oostra BA, Orrù M, Pakyz R, Palmer CN, Paolisso G, Pattaro C, Pearson D, Peden JF, Pedersen NL, Perola M, Pfeiffer AF, Pichler I, Polasek O, Posthuma D, Potter SC, Pouta A, Province MA, Psaty BM, Rathmann W, Rayner NW, Rice K, Ripatti S, Rivadeneira F, Roden M, Rolandsson O, Sandbaek A, Sandhu M, Sanna S, Sayer AA, Scheet P, Scott LJ, Seedorf U, Sharp SJ, Shields B, Sigurethsson G, Sijbrands EJ, Silveira A, Simpson L, Singleton A, Smith NL, Sovio U, Swift A, Syddall H, Syvänen AC, Tanaka T, Thorand B, Tichet J, Tönjes A, Tuomi T, Uitterlinden AG, van Dijk KW, van Hoek M, Varma D, Visvikis-Siest S, Vitart V, Vogelzangs N, Waeber G, Wagner PJ, Walley A, Walters GB, Ward KL, Watkins H, Weedon MN, Wild SH, Willemsen G, Witteman JC, Yarnell JW, Zeggini E, Zelenika D, Zethelius B, Zhai G, Zhao JH, Zillikens MC, DIAGRAM Consortium, GIANT Consortium, Global BPgen Consortium, Borecki IB, Loos RJ, Meneton P, Magnusson PK, Nathan DM, Williams GH, Hattersley AT, Silander K, Salomaa V, Smith GD, Bornstein SR, Schwarz P, Spranger J, Karpe F, Shuldiner AR, Cooper C, Dedoussis GV, Serrano-Ríos M, Morris AD, Lind L, Palmer LJ, Hu FB, Franks PW, Ebrahim S, Marmot M, Kao WH, Pankow JS, Sampson MJ, Kuusisto J, Laakso M, Hansen T, Pedersen O, Pramstaller PP, Wichmann HE, Illig T, Rudan I, Wright AF, Stumvoll M, Campbell H, Wilson JF, Anders Hamsten on behalf of Procardis Consortium, MAGIC investigators, Bergman RN, Buchanan TA, Collins FS, Mohlke KL, Tuomilehto J, Valle TT, Altshuler D, Rotter JI, Siscovick DS, Penninx BW, Boomsma DI, Deloukas P, Spector TD, Frayling TM, Ferrucci L, Kong A, Thorsteinsdottir U, Stefansson K, van Duijn CM, Aulchenko YS, Cao A, Scuteri A, Schlessinger D, Uda M, Ruokonen A, Jarvelin MR, Waterworth DM, Vollenweider P, Peltonen L, Mooser V, Abecasis GR, Wareham NJ, Sladek R, Froguel P, Watanabe RM, Meigs JB, Groop L, Boehnke M, McCarthy MI, Florez JC, Barroso I
  Nat Genet. 2010
  PubMed ID: 20081858
   
  
• Transcription factor Glis3: a novel critical player in the regulation of pancreatic {beta}-cell development and insulin gene expression.
  Kang HS, Kim YS, Zeruth G, Beak JY, Gerrish K, Kilic G, Sosa-Pineda B, Jensen J, Foley J, Jetten AM
  Mol Cell Biol. 2009
  PubMed ID: 19805515
   
  
• A murine model of neonatal diabetes mellitus in Glis3-deficient mice.
  Watanabe N, Hiramatsu K, Miyamoto R, Yasuda K, Suzuki N, Oshima N, Kiyonari H, Shiba D, Nishio S, Mochizuki T, Yokoyama T, Maruyama S, Matsuo S, Wakamatsu Y, Hashimoto H
  FEBS Lett. 2009
  PubMed ID: 19481545
   
  
• Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes.
  Barrett JC, Clayton DG, Concannon P, Akolkar B, Cooper JD, Erlich HA, Julier C, Morahan G, Nerup J, Nierras C, Plagnol V, Pociot F, Schuilenburg H, Smyth DJ, Stevens H, Todd JA, Walker NM, Rich SS, The Type 1 Diabetes Genetics Consortium
  Nat Genet. 2009
  PubMed ID: 19430480
   
  
• Follow up analysis of genome-wide association data identifies novel loci for type 1 diabetes.
  Grant SF, Qu HQ, Bradfield JP, Marchand L, Kim CE, Glessner JT, Grabs R, Taback SP, Frackelton EC, Eckert AW, Annaiah K, Lawson ML, Otieno FG, Santa E, Shaner JL, Smith RM, Skraban R, Imielinski M, Chiavacci RM, Grundmeier RW, Stanley CA, Kirsch SE, Waggott D, Paterson AD, The DCCT/EDIC Research Group, Monos DS, Polychronakos C, Hakonarson H
  Diabetes. 2008
  PubMed ID: 18840781
   
  
• Mutations in GLIS3 are responsible for a rare syndrome with neonatal diabetes mellitus and congenital hypothyroidism.
  Senée V, Chelala C, Duchatelet S, Feng D, Blanc H, Cossec JC, Charon C, Nicolino M, Boileau P, Cavener DR, Bougnères P, Taha D, Julier C
  Nat Genet. 2006
  PubMed ID: 16715098
   
  

Publications: 25

• Novel GLIS3 mutations demonstrate an extended multisystem phenotype.
  Dimitri P, Warner JT, Minton JA, Patch AM, Ellard S, Hattersley AT, Barr S, Hawkes D, Wales JK, Gregory JW
  Eur J Endocrinol. 2011
  PubMed ID: 21139041
   
  
• A high-resolution anatomical atlas of the transcriptome in the mouse embryo.
  Diez-Roux G, Banfi S, Sultan M, Geffers L, Anand S, Rozado D, Magen A, Canidio E, Pagani M, Peluso I, Lin-Marq N, Koch M, Bilio M, Cantiello I, Verde R, De Masi C, Bianchi SA, Cicchini J, Perroud E, Mehmeti S, Dagand E, Schrinner S, Nürnberger A, Schmidt K, Metz K, Zwingmann C, Brieske N, Springer C, Hernandez AM, Herzog S, Grabbe F, Sieverding C, Fischer B, Schrader K, Brockmeyer M, Dettmer S, Helbig C, Alunni V, Battaini MA, Mura C, Henrichsen CN, Garcia-Lopez R, Echevarria D, Puelles E, Garcia-Calero E, Kruse S, Uhr M, Kauck C, Feng G, Milyaev N, Ong CK, Kumar L, Lam M, Semple CA, Gyenesei A, Mundlos S, Radelof U, Lehrach H, Sarmientos P, Reymond A, Davidson DR, Dollé P, Antonarakis SE, Yaspo ML, Martinez S, Baldock RA, Eichele G, Ballabio A
  PLoS Biol. 2011
  PubMed ID: 21267068
   
  
• Personalized smoking cessation: interactions between nicotine dose, dependence and quit-success genotype score.
  Rose JE, Behm FM, Drgon T, Johnson C, Uhl GR
  Mol Med. 2010
  PubMed ID: 20379614
   
  
• Resolution of cell fate decisions revealed by single-cell gene expression analysis from zygote to blastocyst.
  Guo G, Huss M, Tong GQ, Wang C, Li Sun L, Clarke ND, Robson P
  Dev Cell. 2010
  PubMed ID: 20412781
   
  
• 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
   
  
• Glis3 is associated with primary cilia and Wwtr1/TAZ and implicated in polycystic kidney disease.
  Kang HS, Beak JY, Kim YS, Herbert R, Jetten AM
  Mol Cell Biol. 2009
  PubMed ID: 19273592
   
  
• 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
   
  
• CD spectra show the relational style between Zic-, Gli-, Glis-zinc finger protein and DNA.
  Sakai-Kato K, Ishiguro A, Mikoshiba K, Aruga J, Utsunomiya-Tate N
  Biochim Biophys Acta. 2008
  PubMed ID: 18298960
   
  
• Molecular genetics of successful smoking cessation: convergent genome-wide association study results.
  Uhl GR, Liu QR, Drgon T, Johnson C, Walther D, Rose JE, David SP, Niaura R, Lerman C
  Arch Gen Psychiatry. 2008
  PubMed ID: 18519826
   
  
• Functional analysis of the zinc finger and activation domains of Glis3 and mutant Glis3(NDH1).
  Beak JY, Kang HS, Kim YS, Jetten AM
  Nucleic Acids Res. 2008
  PubMed ID: 18263616
   
  
• Towards a proteome-scale map of the human protein-protein interaction network.
  Rual JF, Venkatesan K, Hao T, Hirozane-Kishikawa T, Dricot A, Li N, Berriz GF, Gibbons FD, Dreze M, Ayivi-Guedehoussou N, Klitgord N, Simon C, Boxem M, Milstein S, Rosenberg J, Goldberg DS, Zhang LV, Wong SL, Franklin G, Li S, Albala JS, Lim J, Fraughton C, Llamosas E, Cevik S, Bex C, Lamesch P, Sikorski RS, Vandenhaute J, Zoghbi HY, Smolyar A, Bosak S, Sequerra R, Doucette-Stamm L, Cusick ME, Hill DE, Roth FP, Vidal M
  Nature. 2005
  PubMed ID: 16189514
   
  
• 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
   
  
• Mouse brain organization revealed through direct genome-scale TF expression analysis.
  Gray PA, Fu H, Luo P, Zhao Q, Yu J, Ferrari A, Tenzen T, Yuk DI, Tsung EF, Cai Z, Alberta JA, Cheng LP, Liu Y, Stenman JM, Valerius MT, Billings N, Kim HA, Greenberg ME, McMahon AP, Rowitch DH, Stiles CD, Ma Q
  Science. 2004
  PubMed ID: 15618518
   
  
• 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
   
  
• DNA sequence and analysis of human chromosome 9.
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