Automated Organization Profile

State University of São Paulo, Institute of Chemistry

Current S-Index

1.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.3

Average Dataset Index per dataset

Total Datasets

1

Total datasets in this organization

Average FAIR Score

88.5%

Average FAIR Score per dataset

Total Citations

1

Total citations to the organization's datasets

Total Mentions

0

Total mentions of the organization's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Replication data for: "Peptide-based biosensing approaches for targeting breast cancer-derived exosomes" (Version: 1.1)

Exosomes are nanovesicles present in all the biological fluids, making them attractive as non-invasive biomarkers for diseases like cancer, among many others. However, exosomes are complex to separate and detect, requiring comprehensive molecular characterization for their routine use in diagnostics. This study explores the use of peptides as cost-effective and stable alternatives to antibodies for exosome binding. To achieve that, phage display technology was employed to select peptides with high specificity for target molecules in exosomes. Specifically, a selected peptide was evaluated for its ability to selectively bind breast cancer-derived exosomes. Proteomic analysis identified 38 protein candidates targeted by the peptide on exosome membranes. The binding of the peptide to breast cancer-derived exosomes was successfully demonstrated by flow cytometry and magneto-actuated immunoassays. Furthermore, an electrochemical biosensor was also tested for breast cancer-derived exosome detection and quantification. The peptide demonstrated effective binding to exosomes from aggressive cancer cell lines, offering promising results in terms of specificity and recovery. This research shows potential for developing rapid, accessible diagnostic tools for breast cancer, especially in low-resource healthcare settings.

Authors

  • Fonseca Alves, da ;
  • Pallarès-Rusiñol, Arnau ;
  • Rossi, Rosanna ;
  • Martí, Mercè ;
  • Rezende Vaz, Emilia ;
  • Gonçalves de Araújo, Thaise ;
  • Taboada Sotomayor, Maria Del Pilar ;
  • Pividori, María Isabel
1 Citation0 Mentions88% FAIR1.3 Dataset Index
10.34810/data1273January 2024