Mukherjee, Aniruddha (2021) Comprehensive Proteomics data analysis to understand Meningioma tumor biology and progression. Masters thesis, Indian Institute of Science Education and Research Kolkata.
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Text (MS Dissertation of Aniruddha Mukherjee (16MS139))
16MS139_Thesis_file.pdf - Submitted Version Restricted to Repository staff only Download (7MB) |
Abstract
Int this comprehensive data analysis work Meningioma repository data was used both for analysing tumor sample data against controls and intra-tumor sample data in a grade-wise manner. The first objective has given us potentially global alterations in the level of biomolecular pathways. The most highly perturbed pathway and signalling network mapped to the process of mRNA splicing, via spliceosome and pre-mRNA processing. This result follows the findings of Papaioannou et al., 2019, where they have correlated molecular network of RNA splicing and processing as distinct to higher clinical grades. It calls for future validationwork in Meningioma cell line, where after selective inhibition of spliceosome proteins the growth of the Meningioma cells need to be monitored. Alternatively pathways influencing the cascade of mRNA splicing might also be targeted, like PI3k/AKt pathway mediated transport of mRNA(48). In this way there can be a broad validation of the integral role of the splicing machinery driving Meningioma. In the second objective, more rigorous analysis pipeline can help us increase the no. of candidate common markers with a potential global role in Meningioma progression. However, the two exosomal markers might have great impact if taken forward for validation. Unlike colon cancer derrived exosomes(38) the conventional techniques of exosome isolation has not been much executed in regard to Meningioma cell lines. Exosomal markers can be an entirely new path to studies at validation level.The exosomes become important in aggressive brain tumors because of their abundance in body fluids and their role in spreading encapsulated oncogenic molecules. So, targeted proteomics in tandem with exosome isolation and characterization might be the key to a completely new and useful research in Meningioma.
Item Type: | Thesis (Masters) |
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Additional Information: | Supervisor: Dr. Amit Kr. Mandal and Professor Sanjeeva Srivastava, Proteomics Lab BSBE Dept., IIT Bombay |
Uncontrolled Keywords: | Biomolecular Pathways, Proteomics data analysis, Meningioma Tumor biology, Meningioma Progression |
Subjects: | Q Science > QL Zoology Q Science > QP Physiology |
Divisions: | Department of Biological Sciences |
Depositing User: | IISER Kolkata Librarian |
Date Deposited: | 16 Oct 2025 09:07 |
Last Modified: | 16 Oct 2025 09:07 |
URI: | http://eprints.iiserkol.ac.in/id/eprint/1851 |
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