RT Journal Article
T1 Surfing transcriptomic landscapes. A step beyond the annotation of chromosome 16 proteome.
A1 Segura, Víctor
A1 Medina-Aunon, J. A.
A1 Mora, Maria I.
A1 Martínez-Bartolomé, S.
A1 Abian, Joaquín
A1 Aloria, Kerman
A1 Antúnez, Oreto
A1 Arizmendi, J. M.
A1 Azkargorta, Mikel
A1 Barceló Batllori, Silvia
A1 Beaskoetxea, Jabier
A1 Bech Serra, Joan J
A1 Blanco, F.
A1 Monteiro, Mariana B.
A1 Cáceres, David
A1 Canals, F.
A1 Carrascal, Monserrat
A1 Casal, J. Ignacio
A1 Clemente, Felipe
A1 Colomé, Nuria
A1 Dasilva, Noelia
A1 Díaz, Paula
A1 Elortza, F.
A1 Fernández Puente, Patricia
A1 Fuentes, M.
A1 Gallardo, Oscar
A1 Gharbi, S. I.
A1 Gil, Concha
A1 González-Tejedo, C.
A1 Hernáez, María Luisa
A1 Lombardía, Manuel
A1 Lopez Lucendo, Maria
A1 Marcilla, Miguel
A1 Mato, J. M.
A1 Mendes, Marta
A1 Oliveira, Eliandre
A1 Orera, Irene
A1 Pascual Montano, Alberto
A1 Prieto, Gorka
A1 Ruiz Romero, Cristina
A1 Sánchez del Pino, M. M.
A1 Tabas Madrid, Daniel
A1 Valero, Maria L.
A1 Vialás, Vital
A1 Villanueva, Joan
A1 Albar, J. P.
A1 Corrales, F. J.
AB 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.
PB American Chemical Society
SN 1535-3907
YR 2013
FD 2013-10-21
LK https://hdl.handle.net/20.500.14352/34910
UL https://hdl.handle.net/20.500.14352/34910
LA eng
NO Unión Europea. FP7
NO Ministerio de Ciencia e Innovación (MICINN)
NO Comunidad de Madrid
NO ProteoRed-ISCIII
NO FIMA
NO UTE project CIMA
NO ProteomeXchange
DS Docta Complutense
RD 21 abr 2025