Literature DB >> 24138474

Surfing transcriptomic landscapes. A step beyond the annotation of chromosome 16 proteome.

Víctor Segura1, Juan Alberto Medina-Aunon, Maria I Mora, Salvador Martínez-Bartolomé, Joaquín Abian, Kerman Aloria, Oreto Antúnez, Jesús M Arizmendi, Mikel Azkargorta, Silvia Barceló-Batllori, Jabier Beaskoetxea, Joan J Bech-Serra, Francisco Blanco, Mariana B Monteiro, David Cáceres, Francesc Canals, Monserrat Carrascal, José Ignacio Casal, Felipe Clemente, Nuria Colomé, Noelia Dasilva, Paula Díaz, Félix Elortza, Patricia Fernández-Puente, Manuel Fuentes, Oscar Gallardo, Severine I Gharbi, Concha Gil, Carmen González-Tejedo, María Luisa Hernáez, Manuel Lombardía, Maria Lopez-Lucendo, Miguel Marcilla, José M Mato, Marta Mendes, Eliandre Oliveira, Irene Orera, Alberto Pascual-Montano, Gorka Prieto, Cristina Ruiz-Romero, Manuel M Sánchez del Pino, Daniel Tabas-Madrid, Maria L Valero, Vital Vialas, Joan Villanueva, Juan Pablo Albar, Fernando J Corrales.   

Abstract

The Spanish team of the Human Proteome Project (SpHPP) marked the annotation of Chr16 and data analysis as one of its priorities. Precise annotation of Chromosome 16 proteins according to C-HPP criteria is presented. Moreover, Human Body Map 2.0 RNA-Seq and Encyclopedia of DNA Elements (ENCODE) data sets were used to obtain further information relative to cell/tissue specific chromosome 16 coding gene expression patterns and to infer the presence of missing proteins. Twenty-four shotgun 2D-LC-MS/MS and gel/LC-MS/MS MIAPE compliant experiments, representing 41% coverage of chromosome 16 proteins, were performed. Furthermore, mapping of large-scale multicenter mass spectrometry data sets from CCD18, MCF7, Jurkat, and Ramos cell lines into RNA-Seq data allowed further insights relative to correlation of chromosome 16 transcripts and proteins. Detection and quantification of chromosome 16 proteins in biological matrices by SRM procedures are also primary goals of the SpHPP. Two strategies were undertaken: one focused on known proteins, taking advantage of MS data already available, and the second, aimed at the detection of the missing proteins, is based on the expression of recombinant proteins to gather MS information and optimize SRM methods that will be used in real biological samples. SRM methods for 49 known proteins and for recombinant forms of 24 missing proteins are reported in this study.

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Year:  2013        PMID: 24138474     DOI: 10.1021/pr400721r

Source DB:  PubMed          Journal:  J Proteome Res        ISSN: 1535-3893            Impact factor:   4.466


  6 in total

1.  Mining Missing Membrane Proteins by High-pH Reverse-Phase StageTip Fractionation and Multiple Reaction Monitoring Mass Spectrometry.

Authors:  Reta Birhanu Kitata; Baby Rorielyn T Dimayacyac-Esleta; Wai-Kok Choong; Chia-Feng Tsai; Tai-Du Lin; Chih-Chiang Tsou; Shao-Hsing Weng; Yi-Ju Chen; Pan-Chyr Yang; Susan D Arco; Alexey I Nesvizhskii; Ting-Yi Sung; Yu-Ju Chen
Journal:  J Proteome Res       Date:  2015-08-06       Impact factor: 4.466

2.  Identification of a Set of Conserved Eukaryotic Internal Retention Time Standards for Data-independent Acquisition Mass Spectrometry.

Authors:  Sarah J Parker; Hannes Rost; George Rosenberger; Ben C Collins; Lars Malmström; Dario Amodei; Vidya Venkatraman; Koen Raedschelders; Jennifer E Van Eyk; Ruedi Aebersold
Journal:  Mol Cell Proteomics       Date:  2015-07-21       Impact factor: 5.911

3.  PepPSy: a web server to prioritize gene products in experimental and biocuration workflows.

Authors:  Olivier Sallou; Paula D Duek; Thomas A Darde; Olivier Collin; Lydie Lane; Frédéric Chalmel
Journal:  Database (Oxford)       Date:  2016-05-12       Impact factor: 3.451

4.  Detection of Missing Proteins Using the PRIDE Database as a Source of Mass Spectrometry Evidence.

Authors:  Alba Garin-Muga; Leticia Odriozola; Ana Martínez-Val; Noemí Del Toro; Rocío Martínez; Manuela Molina; Laura Cantero; Rocío Rivera; Nicolás Garrido; Francisco Dominguez; Manuel M Sanchez Del Pino; Juan Antonio Vizcaíno; Fernando J Corrales; Victor Segura
Journal:  J Proteome Res       Date:  2016-09-15       Impact factor: 4.466

5.  Functional annotation of proteome encoded by human chromosome 22.

Authors:  Sneha M Pinto; Srikanth S Manda; Min-Sik Kim; KyOnese Taylor; Lakshmi Dhevi Nagarajha Selvan; Lavanya Balakrishnan; Tejaswini Subbannayya; Fangfei Yan; T S Keshava Prasad; Harsha Gowda; Charles Lee; William S Hancock; Akhilesh Pandey
Journal:  J Proteome Res       Date:  2014-04-29       Impact factor: 4.466

6.  LymPHOS 2.0: an update of a phosphosite database of primary human T cells.

Authors:  Tien Dung Nguyen; Oriol Vidal-Cortes; Oscar Gallardo; Joaquin Abian; Montserrat Carrascal
Journal:  Database (Oxford)       Date:  2015-12-26       Impact factor: 3.451

  6 in total

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