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

蛋白质组学和转录组学分析确定剪接体是源自 POU1F1 和 NR5A1 细胞谱系的垂体肿瘤中分子机制的重要组成部分

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作者:Keiko Taniguchi-Ponciano, Eduardo Peña-Martínez, Gloria Silva-Román, Sandra Vela-Patiño, Ana Laura Guzman-Ortiz, Hector Quezada, Erick Gomez-Apo, Laura Chavez-Macias, Sophia Mercado-Medrez, Guadalupe Vargas-Ortega, Ana Laura Espinosa-de-Los-Monteros, Baldomero Gonzales-Virla, Aldo Ferreira-Hermosill

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.

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.

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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