Literature DB >> 14593198

The generation and utilization of a cancer-oriented representation of the human transcriptome by using expressed sequence tags.

Helena Brentani1, Otávia L Caballero, Anamaria A Camargo, Aline M da Silva, Wilson Araújo da Silva, Emmanuel Dias Neto, Marco Grivet, Arthur Gruber, Pedro Edson Moreira Guimaraes, Winston Hide, Christian Iseli, C Victor Jongeneel, Janet Kelso, Maria Aparecida Nagai, Elida Paula Benquique Ojopi, Elisson C Osorio, Eduardo M R Reis, Gregory J Riggins, Andrew John George Simpson, Sandro de Souza, Brian J Stevenson, Robert L Strausberg, Eloiza H Tajara, Sergio Verjovski-Almeida, Marcio Luis Acencio, Mário Henrique Bengtson, Fabiana Bettoni, Walter F Bodmer, Marcelo R S Briones, Luiz Paulo Camargo, Webster Cavenee, Janete M Cerutti, Luis Eduardo Coelho Andrade, Paulo César Costa dos Santos, Maria Cristina Ramos Costa, Israel Tojal da Silva, Marcos Roberto H Estécio, Karine Sa Ferreira, Frank B Furnari, Milton Faria, Pedro A F Galante, Gustavo S Guimaraes, Adriano Jesus Holanda, Edna Teruko Kimura, Maarten R Leerkes, Xin Lu, Rui M B Maciel, Elizabeth A L Martins, Katlin Brauer Massirer, Analy S A Melo, Carlos Alberto Mestriner, Elisabete Cristina Miracca, Leandro Lorenco Miranda, Francisco G Nobrega, Paulo S Oliveira, Apua C M Paquola, José Rodrigo C Pandolfi, Maria Ines de Moura Campos Pardini, Fabio Passetti, John Quackenbush, Beatriz Schnabel, Mari Cleide Sogayar, Jorge E Souza, Sandro R Valentini, Andre C Zaiats, Elisabete Jorge Amaral, Liliane A T Arnaldi, Amelia Goes de Araújo, Simone Aparecida de Bessa, David C Bicknell, Maria Eugenia Ribeiro de Camaro, Dirce Maria Carraro, Helaine Carrer, Alex F Carvalho, Christian Colin, Fernando Costa, Cyntia Curcio, Ismael Dale Cotrim Guerreiro da Silva, Neusa Pereira da Silva, Márcia Dellamano, Hamza El-Dorry, Enilza Maria Espreafico, Ari José Scattone Ferreira, Cristiane Ayres Ferreira, Maria Angela H Z Fortes, Angelita Habr Gama, Daniel Giannella-Neto, Maria Lúcia C C Giannella, Ricardo R Giorgi, Gustavo Henrique Goldman, Maria Helena S Goldman, Christine Hackel, Paulo Lee Ho, Elza Myiuki Kimura, Luiz Paulo Kowalski, Jose E Krieger, Luciana C C Leite, Ademar Lopes, Ana Mercedes S C Luna, Alan Mackay, Suely Kazue Nagahashi Mari, Adriana Aparecida Marques, Waleska K Martins, André Montagnini, Mario Mourão Neto, Ana Lucia T O Nascimento, A Munro Neville, Marina P Nobrega, Mike J O'Hare, Audrey Yumi Otsuka, Anna Izabel Ruas de Melo, Maria Luisa Paco-Larson, Gonçalo Guimarães Pereira, Neusa Pereira da Silva, Joao Bosco Pesquero, Juliana Gilbert Pessoa, Paula Rahal, Claudia Aparecida Rainho, Vanderlei Rodrigues, Silvia Regina Rogatto, Camila Malta Romano, Janaina Gusmao Romeiro, Benedito Mauro Rossi, Monica Rusticci, Renata Guerra de Sá, Simone Cristina Sant' Anna, Miriam L Sarmazo, Teresa Cristina de Lima E Silva, Fernando Augusto Soares, Maria de Fátima Sonati, Josane de Freitas Sousa, Diana Queiroz, Valéria Valente, André Luiz Vettore, Fabiola Elizabeth Villanova, Marco Antonio Zago, Heloisa Zalcberg.   

Abstract

Whereas genome sequencing defines the genetic potential of an organism, transcript sequencing defines the utilization of this potential and links the genome with most areas of biology. To exploit the information within the human genome in the fight against cancer, we have deposited some two million expressed sequence tags (ESTs) from human tumors and their corresponding normal tissues in the public databases. The data currently define approximately 23,500 genes, of which only approximately 1,250 are still represented only by ESTs. Examination of the EST coverage of known cancer-related (CR) genes reveals that <1% do not have corresponding ESTs, indicating that the representation of genes associated with commonly studied tumors is high. The careful recording of the origin of all ESTs we have produced has enabled detailed definition of where the genes they represent are expressed in the human body. More than 100,000 ESTs are available for seven tissues, indicating a surprising variability of gene usage that has led to the discovery of a significant number of genes with restricted expression, and that may thus be therapeutically useful. The ESTs also reveal novel nonsynonymous germline variants (although the one-pass nature of the data necessitates careful validation) and many alternatively spliced transcripts. Although widely exploited by the scientific community, vindicating our totally open source policy, the EST data generated still provide extensive information that remains to be systematically explored, and that may further facilitate progress toward both the understanding and treatment of human cancers.

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Year:  2003        PMID: 14593198      PMCID: PMC263829          DOI: 10.1073/pnas.1233632100

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  32 in total

1.  Shotgun sequencing of the human transcriptome with ORF expressed sequence tags.

Authors:  E Dias Neto; R G Correa; S Verjovski-Almeida; M R Briones; M A Nagai; W da Silva; M A Zago; S Bordin; F F Costa; G H Goldman; A F Carvalho; A Matsukuma; G S Baia; D H Simpson; A Brunstein; P S de Oliveira; P Bucher; C V Jongeneel; M J O'Hare; F Soares; R R Brentani; L F Reis; S J de Souza; A J Simpson
Journal:  Proc Natl Acad Sci U S A       Date:  2000-03-28       Impact factor: 11.205

2.  Analysis of expressed sequence tags indicates 35,000 human genes.

Authors:  B Ewing; P Green
Journal:  Nat Genet       Date:  2000-06       Impact factor: 38.330

3.  Gene expression analysis by massively parallel signature sequencing (MPSS) on microbead arrays.

Authors:  S Brenner; M Johnson; J Bridgham; G Golda; D H Lloyd; D Johnson; S Luo; S McCurdy; M Foy; M Ewan; R Roth; D George; S Eletr; G Albrecht; E Vermaas; S R Williams; K Moon; T Burcham; M Pallas; R B DuBridge; J Kirchner; K Fearon; J Mao; K Corcoran
Journal:  Nat Biotechnol       Date:  2000-06       Impact factor: 54.908

4.  ESTScan: a program for detecting, evaluating, and reconstructing potential coding regions in EST sequences.

Authors:  C Iseli; C V Jongeneel; P Bucher
Journal:  Proc Int Conf Intell Syst Mol Biol       Date:  1999

5.  Brazilian scientists team up for cancer genome project.

Authors:  R Bonalume Neto
Journal:  Nature       Date:  1999-04-08       Impact factor: 49.962

6.  Genome-wide analysis of single-nucleotide polymorphisms in human expressed sequences.

Authors:  K Irizarry; V Kustanovich; C Li; N Brown; S Nelson; W Wong; C J Lee
Journal:  Nat Genet       Date:  2000-10       Impact factor: 38.330

7.  Estimate of human gene number provided by genome-wide analysis using Tetraodon nigroviridis DNA sequence.

Authors:  H Roest Crollius; O Jaillon; A Bernot; C Dasilva; L Bouneau; C Fischer; C Fizames; P Wincker; P Brottier; F Quétier; W Saurin; J Weissenbach
Journal:  Nat Genet       Date:  2000-06       Impact factor: 38.330

8.  A public database for gene expression in human cancers.

Authors:  A Lal; A E Lash; S F Altschul; V Velculescu; L Zhang; R E McLendon; M A Marra; C Prange; P J Morin; K Polyak; N Papadopoulos; B Vogelstein; K W Kinzler; R L Strausberg; G J Riggins
Journal:  Cancer Res       Date:  1999-11-01       Impact factor: 12.701

9.  Expression-based genetic/physical maps of single-nucleotide polymorphisms identified by the cancer genome anatomy project.

Authors:  R Clifford; M Edmonson; Y Hu; C Nguyen; T Scherpbier; K H Buetow
Journal:  Genome Res       Date:  2000-08       Impact factor: 9.043

10.  Splice variant expression of CD44 in patients with breast and ovarian cancer.

Authors:  M Sanchez Lockhart; S E Hajos; F M Basilio; C Mongini; E Alvarez
Journal:  Oncol Rep       Date:  2001 Jan-Feb       Impact factor: 3.906

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  45 in total

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Authors:  Hui-Yun Wang; Minjie Luo; Irina V Tereshchenko; Danielle M Frikker; Xiangfeng Cui; James Y Li; Guohong Hu; Yi Chu; Marco A Azaro; Yong Lin; Li Shen; Qifeng Yang; Manousos E Kambouris; Richeng Gao; Weichung Shih; Honghua Li
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6.  PLAC1, a trophoblast-specific cell surface protein, is expressed in a range of human tumors and elicits spontaneous antibody responses.

Authors:  Wilson A Silva; Sacha Gnjatic; Erika Ritter; Ramon Chua; Tzeela Cohen; Melinda Hsu; Achim A Jungbluth; Nasser K Altorki; Yao-Tseng Chen; Lloyd J Old; Andrew J G Simpson; Otavia L Caballero
Journal:  Cancer Immun       Date:  2007-11-06

7.  Modeling cancer progression via pathway dependencies.

Authors:  Elena J Edelman; Justin Guinney; Jen-Tsan Chi; Phillip G Febbo; Sayan Mukherjee
Journal:  PLoS Comput Biol       Date:  2008-02       Impact factor: 4.475

8.  Prediction of breast cancer prognosis using gene set statistics provides signature stability and biological context.

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Journal:  BMC Bioinformatics       Date:  2010-05-25       Impact factor: 3.169

9.  A global view of cancer-specific transcript variants by subtractive transcriptome-wide analysis.

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Journal:  PLoS One       Date:  2009-03-06       Impact factor: 3.240

10.  Transcriptome analysis of Taenia solium cysticerci using Open Reading Frame ESTs (ORESTES).

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Journal:  Parasit Vectors       Date:  2009-07-31       Impact factor: 3.876

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