Banca de DEFESA: KARLA CRISTINA TABOSA MACHADO

Uma banca de DEFESA de DOUTORADO foi cadastrada pelo programa.
STUDENT : KARLA CRISTINA TABOSA MACHADO
DATE: 07/04/2025
TIME: 15:00
LOCAL: Google Meet, https://meet.google.com/kpq-cuam-ubx
TITLE:

Computational Meta-Analysis of Proteomic Data from Human Tissues for the Identification of Cancer-Testis Antigens

KEY WORDS:

Biomarkers; cancer/testis antigens; meta-analysis; proteomics.

PAGES: 62
BIG AREA: Ciências Biológicas
AREA: Bioquímica
SUBÁREA: Química de Macromoléculas
SPECIALTY: Proteínas
SUMMARY:

Proteomics has been regarded as a promising technology, capable of providing insights into protein levels in various biological and clinical models. Proteomics has been considered a promising technology, capable of providing insights It can provide a quantitative description of the state of a biological system through the study of protein abundance profiles. Biomarkers are molecular markers found in clinical samples which may aid disease diagnosis or prognosis. High-throughput techniques allow prospecting for such signature molecules by comparing gene expression between normal and sick cells. Cancer-testis antigens (CTAs) are promising candidates for cancer biomarkers due to their limited expression to the testis in normal conditions versus their aberrant expression in various tumors. CTAs are routinely identified by transcriptomics, but a comprehensive characterization of their protein levels in different tissues is still necessary. Mass spectrometry-based proteomics allows the characterization of many cellular types and the production of large amounts of data while computational tools allow the comparison of multiple datasets, and together those may corroborate insights obtained at the transcriptomic level. Here a computational meta-analysis explores the CTAs protein abundance in the proteomic layer of healthy and tumor tissues. The combined datasets present the expression patterns of 17,200 unique proteins, including 241 known CTAs previously described at the transcriptomic level. Those were further ranked as significantly enriched in tumor tissues (23 proteins), exclusive to tumor tissues (26 proteins) or abundant in healthy tissues (8 proteins). Our study reveals the potential to enable future advancements for tumor proteome characterization and the subsequent identification of biomarker candidates and/or therapeutic targets.

 

COMMITTEE MEMBERS:
Externo à Instituição - ANDERSON CHAVES CARNIEL - UFSCAR
Externo ao Programa - ***.610.854-** - ANDRÉ LUÍS FONSECA FAUSTINO - UFRN
Presidente - 1267860 - GUSTAVO ANTONIO DE SOUZA
Interno - 1513597 - JOAO PAULO MATOS SANTOS LIMA
Externa à Instituição - MARÍLIA MEDEIROS FERNANDES DE NEGREIROS - IFRR