Altered transcriptional regulatory proteins in glioblastoma and YBX1 as a potential regulator of tumor invasion.
Manoj Kumar GuptaRavindra Varma PolisettyRakesh SharmaRaksha A GaneshHarsha GowdaAniruddh K PurohitPraveen AnkathiKomal PrasadKiran MariswamappaAkhila LakshmikanthaMegha S UppinChalla SundaramPoonam GautamRavi SirdeshmukhPublished in: Scientific reports (2019)
We have studied differentially regulated nuclear proteome of the clinical tissue specimens of glioblastoma (GBM, WHO Grade IV) and lower grades of gliomas (Grade II and III) using high resolution mass spectrometry- based quantitative proteomics approach. The results showed altered expression of many regulatory proteins from the nucleus such as DNA binding proteins, transcription and post transcriptional processing factors and also included enrichment of nuclear proteins that are targets of granzyme signaling - an immune surveillance pathway. Protein - protein interaction network analysis using integrated proteomics and transcriptomics data of transcription factors and proteins for cell invasion process (drawn from another GBM dataset) revealed YBX1, a ubiquitous RNA and DNA-binding protein and a transcription factor, as a key interactor of major cell invasion-associated proteins from GBM. To verify the regulatory link between them, the co-expression of YBX1 and six of the interacting proteins (EGFR, MAPK1, CD44, SOX2, TNC and MMP13) involved in cell invasion network was examined by immunohistochemistry on tissue micro arrays. Our analysis suggests YBX1 as a potential regulator of these key molecules involved in tumor invasion and thus as a promising target for development of new therapeutic strategies for GBM.
Keyphrases
- transcription factor
- dna binding
- binding protein
- poor prognosis
- high resolution mass spectrometry
- protein protein
- small cell lung cancer
- genome wide identification
- mass spectrometry
- cell migration
- stem cells
- high resolution
- machine learning
- circulating tumor
- single molecule
- oxidative stress
- liquid chromatography
- high grade
- epidermal growth factor receptor
- big data
- risk assessment
- cell free
- label free