Proteomic and Transcriptomic Analysis Identify Spliceosome as a Significant Component of the Molecular Machinery in the Pituitary Tumors Derived from POU1F1- and NR5A1-Cell Lineages

Keiko Taniguchi‐Ponciano(Mexican Social Security Institute), Eduardo Peña-Martínez(Mexican Social Security Institute), Gloria Silva-Román(Mexican Social Security Institute), Sandra Vela-Patiño(Mexican Social Security Institute), Ana Laura Guzmán-Ortiz(Hospital Infantil de México Federico Gómez), Héctor Quezada(Hospital Infantil de México Federico Gómez), Erick Gómez‐Apo(Hospital General de México), Laura Chávez-Macías(Hospital General de México), Sophia Mercado-Medrez(Mexican Social Security Institute), Guadalupe Vargas‐Ortega(Mexican Social Security Institute), Ana Laura Espinosa-de-los-Monteros(Mexican Social Security Institute), Baldomero González‐Virla(Mexican Social Security Institute), Aldo Ferreira‐Hermosillo(Mexican Social Security Institute), Etual Espinosa-Cárdenas(Mexican Social Security Institute), Claudia Ramírez‐Rentería(Mexican Social Security Institute), Ernesto Sosa(Mexican Social Security Institute), Blas López-Félix(Mexican Social Security Institute), Gerardo Guinto(Mexican Social Security Institute), Daniel Marrero–Rodríguez(Mexican Social Security Institute), Moisés Mercado(Mexican Social Security Institute)
Genes
November 27, 2020
Cited by 13Open Access
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Abstract

Background: Pituitary adenomas (PA) are the second most common tumor in the central nervous system and have low counts of mutated genes. Splicing occurs in 95% of the coding RNA. There is scarce information about the spliceosome and mRNA-isoforms in PA, and therefore we carried out proteomic and transcriptomic analysis to identify spliceosome components and mRNA isoforms in PA. Methods: Proteomic profile analysis was carried out by nano-HPLC and mass spectrometry with a quadrupole time-of-flight mass spectrometer. The mRNA isoforms and transcriptomic profiles were carried out by microarray technology. With proteins and mRNA information we carried out Gene Ontology and exon level analysis to identify splicing-related events. Results: Approximately 2000 proteins were identified in pituitary tumors. Spliceosome proteins such as SRSF1, U2AF1 and RBM42 among others were found in PA. These results were validated at mRNA level, which showed up-regulation of spliceosome genes in PA. Spliceosome-related genes segregate and categorize PA tumor subtypes. The PA showed alterations in CDK18 and THY1 mRNA isoforms which could be tumor specific. Conclusions: Spliceosome components are significant constituents of the PA molecular machinery and could be used as molecular markers and therapeutic targets. Splicing-related genes and mRNA-isoforms profiles characterize tumor subtypes.


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