Automated Author ProfileFarafonova, Tatiana
0000-0002-7633-3034
Farafonova, Tatiana
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.9 (sum of 3 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The proteins of extracellular vesicles (EVs) that originate from tumors reflect the producer cells’ proteomes and can be detected in biological fluids, e.g., blood plasma. Thus, EVs provide proteomic signatures that are of great interest for cancer diagnostics. By applying targeted mass spectrometry with stable isotope-labeled peptide standards, we assessed the levels of 28 EV-associated proteins, including the conventional exosome markers CD9, CD63, CD81, CD82, and HSPA8, in vesicles derived from the lung cancer cell lines NCI-H23 and A549. Furthermore, we measured their abundance in plasma samples from 34 lung cancer patients and 23 healthy volunteers. Overall, we detected and quantified the levels of seven proteins in undepleted blood plasma: TLN1, TUBA4A, HSPA8, ITGB3, TSG101, and PACSIN2. The most diagnostically potent markers were TLN1 (AUC, 0.95), TUBA4A (AUC, 0.91), and HSPA8 (AUC, 0.88). The obtained EV proteomic signature allowed us to distinguish between the lung adenocarcinoma and squamous cell carcinoma histological types. The proteomic cargo of the extracellular vesicles represents a valuable source of potential biomarkers. This research was funded by the Russian Science Foundation, grant number 21-74-20122. Mass spectrometry analysis and data storage were performed using the equipment of the “Human Proteome” Core Facility (Institute of Biomedical Chemistry).
Authors
- Novikova, Svetlana ;
- Shushkova, Natalya A. ;
- Farafonova, Tatiana ;
- Zgoda, Victor
Cerebrospinal fluid (liquor) samples (N = 44) have been derived from patients with rare tumor hypoglossal schwannoma that comprises about 5% of all non-vestibular schwannomas. Applying high resolution tandem mass-spectrometry 559 proteins were identified with high confidence (at least 2 peptides per protein, FDR <1%) liquor samples. After tryptic digestion, liquor samples were spiked with 148 stable isotopically labelled peptide standards (SIS). Their natural counterparts were mapped onto 111 FDA-approved protein markers. The samples were subjected to alkaline fractionation followed by scheduled multiple reaction monitoring (MRM) of resulted five fractions. The MRM\SIS dataset provides unique quantitative information on proteomic composition of hypoglossal schwannoma liquor samples.
Authors
- Novikova, Svetlana ;
- Soloveva, Natalia ;
- Farafonova, Tatiana ;
- Tikhonova, Olga ;
- Shimansky, Vadim ;
- Kugushev, Ivan ;
- Zgoda, Victor
The proteins of extracellular vesicles (EVs) that originate from tumors reflect the producer cells’ proteomes and can be detected in biological fluids, e.g., blood plasma. Thus, EVs provide proteomic signatures that are of great interest for cancer diagnostics. By applying targeted mass spectrometry with stable isotope-labeled peptide standards, we assessed the levels of 28 EV-associated proteins, including the conventional exosome markers CD9, CD63, CD81, CD82, and HSPA8, in vesicles derived from the lung cancer cell lines NCI-H23 and A549. Furthermore, we measured their abundance in plasma samples from 34 lung cancer patients and 23 healthy volunteers. Overall, we detected and quantified the levels of seven proteins in undepleted blood plasma: TLN1, TUBA4A, HSPA8, ITGB3, TSG101, and PACSIN2. The most diagnostically potent markers were TLN1 (AUC, 0.95), TUBA4A (AUC, 0.91), and HSPA8 (AUC, 0.88). The obtained EV proteomic signature allowed us to distinguish between the lung adenocarcinoma and squamous cell carcinoma histological types. The proteomic cargo of the extracellular vesicles represents a valuable source of potential biomarkers. This research was funded by the Russian Science Foundation, grant number 21-74-20122. Mass spectrometry analysis and data storage were performed using the equipment of the “Human Proteome” Core Facility (Institute of Biomedical Chemistry).
Authors
- Novikova, Svetlana ;
- Shushkova, Natalya A. ;
- Farafonova, Tatiana ;
- Zgoda, Victor