MED19
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(Human) GRCh37 - chr11:57471182..57479693 (8.51 kb) View in Genome Browser
(Mouse) NCBIM37 - chr2:84518559..84528372 (9.81 kb) View in Genome Browser
(Rat) RGSC3.4 - chr3:67887927..67898448 (10.52 kb) View in Genome Browser
HaemAtlas Expression Table for MED19:
Expression Legend
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Cell Types Showing Expression: Available
Users should be aware that the scale represents a rank within an experiment rather than a normalized expression signal.
| Human | Mouse | Rat | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| ductal cells | exocrine pancreas | pancreatic islets | primary beta cells | Pancreatic Islets MPSS | beta cell line | pancreatic islets | whole pancreas | alpha cell | beta cell line | pancreatic islets | primary beta cells | whole pancreas |
| no data | ||||||||||||
Expression Legend
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The Beta Cell Gene Atlas is a collection of almost all available public microarray data generated with pancreatic beta cells and related cell lines and types. The expression data comes from 131 array analyses derived from 28 experiments (open details in a new window). The basal (untreated cell) expression signal intensity values in each array were converted to ranks within the experiments; the highest value was used for genes represented by more than one probe. The rank values of genes in a given cell type were averaged with other calculated values from experiments performed with the same cell type. The rank transformation of the expression values enable comparison of gene expression across different organisms and tissues.
A red border around a cell indicates greater certainty in the data; specifically, the gene has >0.95 probability of being expressed in the tissue.
Tissues Showing Expression: Available
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| 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 MED19:The MED19 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 |
| MED19 | MED6 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 21729782 |
| MED19 | HDAC6 | IntAct | empirical | 15175163 |
| MED19 | MED16 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 21729782 |
| MED19 | SMC4 | IntAct | empirical | 15175163 |
| MED19 | CDK8 | IntAct, BioGRID, Reactome | empirical | 15175163 21729782 |
| MED19 | MYBBP1A | IntAct | empirical | 15175163 |
| MED19 | NOP56 | IntAct | empirical | 15175163 |
| MED19 | RNPS1 | IntAct | empirical | 15175163 |
| MED19 | GCN1L1 | IntAct | empirical | 15175163 |
| MED19 | DDX52 | IntAct | empirical | 15175163 |
| MED19 | DDX20 | IntAct | empirical | 15175163 |
| MED19 | MED8 | HPRD, IntAct, BioGRID, Reactome | empirical | 12584197 15175163 14576168 14638676 21729782 |
| MED19 | DCK | HPRD, MINT, IntAct, BioGRID | empirical | 16169070 |
| MED19 | DDB1 | IntAct | empirical | 15175163 |
| MED19 | DDX3X | IntAct | empirical | 15175163 |
| MED19 | DNM2 | IntAct | empirical | 15175163 |
| MED19 | EEF1A1 | IntAct | empirical | 15175163 |
| MED19 | EIF4A1 | IntAct | empirical | 15175163 |
| MED19 | FBL | IntAct | empirical | 15175163 |
| MED19 | ESRRB | BioGRID | empirical | 20362541 |
| MED19 | MED19 | IntAct, BioGRID | empirical | 15175163 14576168 14638676 21729782 |
| MED19 | ZBTB9 | IntAct | empirical | 15175163 |
| MED19 | ELL2 | IntAct | empirical | 15175163 21729782 |
| MED19 | ACIN1 | IntAct | empirical | 15175163 |
| MED19 | ZC3H13 | BioGRID | empirical | 20133760 |
| MED19 | CDK19 | IntAct, BioGRID, Reactome | empirical | 15175163 |
| MED19 | U2SURP | IntAct | empirical | 15175163 |
| MED19 | MED13L | IntAct, BioGRID, Reactome | empirical | 15175163 21729782 |
| MED19 | TARDBP | IntAct | empirical | 15175163 |
| MED19 | ZNF281 | IntAct | empirical | 15175163 |
| MED19 | AHCTF1 | IntAct | empirical | 15175163 |
| MED19 | DHRS7B | HPRD, MINT, IntAct | empirical | 16169070 |
| MED19 | RSL1D1 | IntAct | empirical | 15175163 |
| MED19 | AFF4 | IntAct | empirical | 15175163 |
| MED19 | MED4 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 14638676 21729782 |
| MED19 | ANAPC2 | IntAct | empirical | 15175163 |
| MED19 | HCFC1 | IntAct | empirical | 15175163 |
| MED19 | DNAJA1 | IntAct | empirical | 15175163 |
| MED19 | HSPA1L | IntAct | empirical | 15175163 |
| MED19 | HSPA9 | IntAct | empirical | 15175163 |
| MED19 | HSPD1 | IntAct | empirical | 15175163 |
| MED19 | KPNA2 | IntAct | empirical | 15175163 |
| MED19 | LMNA | IntAct | empirical | 15175163 |
| MED19 | MED11 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 14638676 21729782 |
| MED19 | MSX1 | IntAct | empirical | 21988832 |
| MED19 | HNRNPM | IntAct | empirical | 15175163 |
| MED19 | NFKBIA | HPRD, MINT, IntAct, BioGRID | empirical | 16169070 |
| MED19 | NONO | IntAct | empirical | 15175163 |
| MED19 | NPM1 | IntAct | empirical | 15175163 |
| MED19 | NUMA1 | IntAct | empirical | 15175163 |
| MED19 | MED31 | HPRD, IntAct, BioGRID, Reactome | empirical | 12584197 15175163 14576168 21729782 |
| MED19 | UBR5 | IntAct | empirical | 15175163 |
| MED19 | ANAPC5 | IntAct | empirical | 15175163 |
| MED19 | MED15 | IntAct, BioGRID, Reactome | empirical | 15175163 21729782 |
| MED19 | NOP58 | IntAct | empirical | 15175163 |
| MED19 | LUC7L3 | IntAct | empirical | 15175163 |
| MED19 | PNN | IntAct | empirical | 15175163 |
| MED19 | POLR2A | IntAct, BioGRID | empirical | 15175163 21729782 |
| MED19 | POLR2B | IntAct, BioGRID | empirical | 15175163 21729782 |
| MED19 | POLR2C | IntAct, BioGRID | empirical | 15175163 21729782 |
| MED19 | POLR2D | IntAct | empirical | 15175163 21729782 |
| MED19 | POLR2E | IntAct, BioGRID | empirical | 15175163 21729782 |
| MED19 | POLR2F | IntAct, BioGRID | empirical | 15175163 21729782 |
| MED19 | POLR2G | IntAct, BioGRID | empirical | 15175163 21729782 |
| MED19 | POLR2H | IntAct, BioGRID | empirical | 15175163 21729782 |
| MED19 | POLR2I | IntAct, BioGRID | empirical | 15175163 21729782 |
| MED19 | POLR2J | IntAct, BioGRID | empirical | 15175163 21729782 |
| MED19 | POLR2L | IntAct, BioGRID | empirical | 15175163 21729782 |
| MED19 | MED1 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 14638676 21729782 15989967 20133760 |
| MED19 | MED18 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 21729782 14638676 |
| MED19 | ZCCHC10 | IntAct | empirical | 15175163 |
| MED19 | NOL8 | IntAct | empirical | 15175163 |
| MED19 | MED9 | HPRD, IntAct, Reactome | empirical | 14638676 15175163 21729782 |
| MED19 | MED29 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 14638676 21729782 |
| MED19 | RADIL | HPRD, MINT, IntAct, BioGRID | empirical | 16169070 |
| MED19 | PTBP1 | IntAct | empirical | 15175163 |
| MED19 | RANGAP1 | IntAct | empirical | 15175163 |
| MED19 | SRSF3 | IntAct | empirical | 15175163 |
| MED19 | ANAPC1 | IntAct | empirical | 15175163 |
| MED19 | DDX31 | IntAct | empirical | 15175163 |
| MED19 | SNRPD1 | IntAct | empirical | 15175163 |
| MED19 | MED22 | IntAct, Reactome | empirical | 15175163 14576168 14638676 |
| MED19 | TCOF1 | IntAct | empirical | 15175163 |
| MED19 | TMPO | IntAct | empirical | 15175163 |
| MED19 | TTN | IntAct | empirical | 15175163 |
| MED19 | UBTF | IntAct | empirical | 15175163 |
| MED19 | DNALI1 | IntAct | empirical | 15175163 |
| MED19 | DDX50 | IntAct | empirical | 15175163 |
| MED19 | NOC4L | IntAct | empirical | 15175163 |
| MED19 | DDX39B | IntAct | empirical | 15175163 |
| MED19 | IPO4 | IntAct | empirical | 15175163 |
| MED19 | RPAP2 | IntAct | empirical | 15175163 |
| MED19 | CHD9 | IntAct | empirical | 15175163 |
| MED19 | MED28 | IntAct, BioGRID | empirical | 15175163 21729782 20133760 |
| MED19 | MED25 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 21729782 14638676 |
| MED19 | MED10 | IntAct, BioGRID, Reactome | empirical | 15175163 12584197 14576168 14638676 21729782 15989967 |
| MED19 | C3orf26 | IntAct | empirical | 15175163 |
| MED19 | RUVBL1 | IntAct | empirical | 15175163 |
| MED19 | CDC23 | IntAct | empirical | 15175163 |
| MED19 | PRPF4B | IntAct | empirical | 15175163 |
| MED19 | CCNC | IntAct, BioGRID, Reactome | empirical | 15175163 |
| MED19 | MED30 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 |
| MED19 | DDX21 | IntAct | empirical | 15175163 |
| MED19 | NOLC1 | IntAct | empirical | 15175163 |
| MED19 | MED14 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 21729782 |
| MED19 | PPIG | IntAct | empirical | 15175163 |
| MED19 | MED21 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 21729782 |
| MED19 | MED23 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 21729782 |
| MED19 | MED17 | HPRD, IntAct, BioGRID, Reactome | empirical | 12584197 15175163 14576168 14638676 21729782 |
| MED19 | MED26 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 21729782 |
| MED19 | MED27 | HPRD, IntAct, BioGRID, Reactome | empirical | 12584197 15175163 14576168 21729782 |
| MED19 | MED7 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 21729782 |
| MED19 | MED20 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 21729782 |
| MED19 | BAG2 | IntAct | empirical | 15175163 |
| MED19 | RBM39 | IntAct | empirical | 15175163 |
| MED19 | MED24 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 |
| MED19 | MED12 | IntAct, Reactome | empirical | 15175163 14576168 21729782 |
| MED19 | MED13 | IntAct, BioGRID, Reactome | empirical | 15175163 14576168 21729782 |
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Publications: 38
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MED19 promotes proliferation and tumorigenesis of lung cancer.
Sun M, Jiang R, Li JD, Luo SL, Gao HW, Jin CY, Shi DL, Wang CG, Wang B, Zhang XY
Mol Cell Biochem. 2011
PubMed ID: 21519921
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Suppression of MED19 expression by shRNA induces inhibition of cell proliferation and tumorigenesis in human prostate cancer cells.
Cui X, Xu D, Lv C, Qu F, He J, Chen M, Liu Y, Gao Y, Che J, Yao Y, Yu H
BMB Rep. 2011
PubMed ID: 21871180
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Lentivirus-mediated inhibition of Med19 suppresses growth of breast cancer cells in vitro.
Li LH, He J, Hua D, Guo ZJ, Gao Q
Cancer Chemother Pharmacol. 2011
PubMed ID: 20890603
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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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The role of Med19 in the proliferation and tumorigenesis of human hepatocellular carcinoma cells.
Zou SW, Ai KX, Wang ZG, Yuan Z, Yan J, Zheng Q
Acta Pharmacol Sin. 2011
PubMed ID: 21372827
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Knockdown of MED19 by lentivirus-mediated shRNA in human osteosarcoma cells inhibits cell proliferation by inducing cell cycle arrest in the G0/G1 phase.
Wang T, Hao L, Feng Y, Wang G, Qin D, Gu G
Oncol Res. 2011
PubMed ID: 21542455
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Overexpression of LCMR1 is significantly associated with clinical stage in human NSCLC.
Chen L, Liang Z, Tian Q, Li C, Ma X, Zhang Y, Yang Z, Wang P, Li Y
J Exp Clin Cancer Res. 2011
PubMed ID: 21306606
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An Oct4-centered protein interaction network in embryonic stem cells.
van den Berg DL, Snoek T, Mullin NP, Yates A, Bezstarosti K, Demmers J, Chambers I, Poot RA
Cell Stem Cell. 2010
PubMed ID: 20362541
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Streamlined analysis schema for high-throughput identification of endogenous protein complexes.
Malovannaya A, Li Y, Bulynko Y, Jung SY, Wang Y, Lanz RB, O'Malley BW, Qin J
Proc Natl Acad Sci U S A. 2010
PubMed ID: 20133760
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Large-scale proteomics analysis of the human kinome.
Oppermann FS, Gnad F, Olsen JV, Hornberger R, Greff Z, Kéri G, Mann M, Daub H
Mol Cell Proteomics. 2009
PubMed ID: 19369195
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Lys-N and trypsin cover complementary parts of the phosphoproteome in a refined SCX-based approach.
Gauci S, Helbig AO, Slijper M, Krijgsveld J, Heck AJ, Mohammed S
Anal Chem. 2009
PubMed ID: 19413330
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MED19 and MED26 are synergistic functional targets of the RE1 silencing transcription factor in epigenetic silencing of neuronal gene expression.
Ding N, Tomomori-Sato C, Sato S, Conaway RC, Conaway JW, Boyer TG
J Biol Chem. 2009
PubMed ID: 19049968
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Large-scale gene trapping in C57BL/6N mouse embryonic stem cells.
Hansen GM, Markesich DC, Burnett MB, Zhu Q, Dionne KM, Richter LJ, Finnell RH, Sands AT, Zambrowicz BP, Abuin A
Genome Res. 2008
PubMed ID: 18799693
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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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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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MED1/TRAP220 exists predominantly in a TRAP/ Mediator subpopulation enriched in RNA polymerase II and is required for ER-mediated transcription.
Zhang X, Krutchinsky A, Fukuda A, Chen W, Yamamura S, Chait BT, Roeder RG
Mol Cell. 2005
PubMed ID: 15989967
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Gene and alternative splicing annotation with AIR.
Florea L, Di Francesco V, Miller J, Turner R, Yao A, Harris M, Walenz B, Mobarry C, Merkulov GV, Charlab R, Dew I, Deng Z, Istrail S, Li P, Sutton G
Genome Res. 2005
PubMed ID: 15632090
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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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A set of consensus mammalian mediator subunits identified by multidimensional protein identification technology.
Sato S, Tomomori-Sato C, Parmely TJ, Florens L, Zybailov B, Swanson SK, Banks CA, Jin J, Cai Y, Washburn MP, Conaway JW, Conaway RC
Mol Cell. 2004
PubMed ID: 15175163
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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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A mammalian mediator subunit that shares properties with Saccharomyces cerevisiae mediator subunit Cse2.
Tomomori-Sato C, Sato S, Parmely TJ, Banks CA, Sorokina I, Florens L, Zybailov B, Washburn MP, Brower CS, Conaway RC, Conaway JW
J Biol Chem. 2004
PubMed ID: 14638676
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A mammalian homolog of Drosophila melanogaster transcriptional coactivator intersex is a subunit of the mammalian Mediator complex.
Sato S, Tomomori-Sato C, Banks CA, Parmely TJ, Sorokina I, Brower CS, Conaway RC, Conaway JW
J Biol Chem. 2003
PubMed ID: 14576168
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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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Identification of mammalian Mediator subunits with similarities to yeast Mediator subunits Srb5, Srb6, Med11, and Rox3.
Sato S, Tomomori-Sato C, Banks CA, Sorokina I, Parmely TJ, Kong SE, Jin J, Cai Y, Lane WS, Brower CS, Conaway RC, Conaway JW
J Biol Chem. 2003
PubMed ID: 12584197
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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.
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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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High-efficiency full-length cDNA cloning.
Carninci P, Hayashizaki Y
Methods Enzymol. 1999
PubMed ID: 10349636
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Mapping and characterization of novel (CAG)n repeat cDNAs from adult human brain derived by the oligo capture method.
Reddy PH, Stockburger E, Gillevet P, Tagle DA
Genomics. 1997
PubMed ID: 9417904
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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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