Automated Author Profile

Betsou, Fay

Current S-Index

6.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

10

Total datasets for this author

Average FAIR Score

61.5%

Average FAIR Score per dataset

Total Citations

8

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Ice recrystallization inhibitors enable efficient cryopreservation of induced pluripotent stem cells: A functional and transcriptomic analysis

The successful use of human induced pluripotent stem cells (iPSCs) for research or clinical applications requires the development of robust, efficient, and reproducible cryopreservation protocols. After cryopreservation, the survival rate of iPSCs is suboptimal and cell line dependent. We assessed the use of ice recrystallization inhibitors (IRIs) for cryopreservation of human iPSCs. A toxicity screening study was performed to assess specific small-molecule carbohydrate-based IRI and concentrations for further evaluation. Then, a cryopreservation study compared the cryoprotective efficiency of 15 mM IRIs in 5 % or 10 % DMSO-containing solutions and with CryoStor® CS10. Three iPSC lines were cryopreserved as single-cell suspensions in the cryopreservation solutions and post-thaw characteristics, including pluripotency and differential gene expression, were assessed. We demonstrate the fitness-for-purpose of 15 mM IRI in 5 % DMSO as an efficient cryoprotective solution for iPSCs in terms of post-thaw recovery, viability, pluripotency, and transcriptomic changes. Given that this dataset is the first report where mRNA sequencing has been used to identify expression changes resulting from iPSCs cryopreservation, it has the potential to be used for molecular mechanism analysis relating to cryopreservation. IRIs can reduce DMSO concentrations, thereby improving the utility, effectiveness, and efficiency of cryopreservation.

Authors

  • Mommaerts, Kathleen ;
  • Okawa, Satoshi ;
  • Schmitt, Margaux ;
  • Kofanova, Olga ;
  • Turner, Tracey ;
  • Ben, Robert ;
  • Del Sol, Antonio ;
  • Schwamborn, Jens ;
  • Acker, Jason ;
  • Betsou, Fay
0 Citations0 Mentions73% FAIR0.8 Dataset Index
10.5281/zenodo.140385112024

Ice recrystallization inhibitors enable efficient cryopreservation of induced pluripotent stem cells: A functional and transcriptomic analysis

The successful use of human induced pluripotent stem cells (iPSCs) for research or clinical applications requires the development of robust, efficient, and reproducible cryopreservation protocols. After cryopreservation, the survival rate of iPSCs is suboptimal and cell line dependent. We assessed the use of ice recrystallization inhibitors (IRIs) for cryopreservation of human iPSCs. A toxicity screening study was performed to assess specific small-molecule carbohydrate-based IRI and concentrations for further evaluation. Then, a cryopreservation study compared the cryoprotective efficiency of 15 mM IRIs in 5 % or 10 % DMSO-containing solutions and with CryoStor® CS10. Three iPSC lines were cryopreserved as single-cell suspensions in the cryopreservation solutions and post-thaw characteristics, including pluripotency and differential gene expression, were assessed. We demonstrate the fitness-for-purpose of 15 mM IRI in 5 % DMSO as an efficient cryoprotective solution for iPSCs in terms of post-thaw recovery, viability, pluripotency, and transcriptomic changes. Given that this dataset is the first report where mRNA sequencing has been used to identify expression changes resulting from iPSCs cryopreservation, it has the potential to be used for molecular mechanism analysis relating to cryopreservation. IRIs can reduce DMSO concentrations, thereby improving the utility, effectiveness, and efficiency of cryopreservation.

Authors

  • Mommaerts, Kathleen ;
  • Okawa, Satoshi ;
  • Schmitt, Margaux ;
  • Kofanova, Olga ;
  • Turner, Tracey ;
  • Ben, Robert ;
  • Del Sol, Antonio ;
  • Schwamborn, Jens ;
  • Acker, Jason ;
  • Betsou, Fay
0 Citations0 Mentions73% FAIR0.8 Dataset Index
10.5281/zenodo.140385122024

Additional file 3 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

Additional file 3. Summary statistics of the genus phenotype association analyses.

Authors

  • Baldini, Federico ;
  • Hertel, Johannes ;
  • Sandt, Estelle ;
  • Thinnes, Cyrille C. ;
  • Lorieza Neuberger-Castillo ;
  • Pavelka, Lukas ;
  • Betsou, Fay ;
  • Rejko Krüger ;
  • Thiele, Ines
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.124571962020

Additional file 3 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

Additional file 3. Summary statistics of the genus phenotype association analyses.

Authors

  • Thiele, Ines ;
  • Baldini, Federico ;
  • Hertel, Johannes ;
  • Sandt, Estelle ;
  • Thinnes, Cyrille C. ;
  • Lorieza Neuberger-Castillo ;
  • Pavelka, Lukas ;
  • Betsou, Fay ;
  • Rejko Krüger
1 Citation0 Mentions85% FAIR0.6 Dataset Index
10.6084/m9.figshare.12457196.v12020

Additional file 4 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

Additional file 4. Summary statistics for the variance contributions of genera to net production capacities.

Authors

  • Baldini, Federico ;
  • Hertel, Johannes ;
  • Sandt, Estelle ;
  • Thinnes, Cyrille C. ;
  • Lorieza Neuberger-Castillo ;
  • Pavelka, Lukas ;
  • Betsou, Fay ;
  • Rejko Krüger ;
  • Thiele, Ines
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.12457202.v12020

Additional file 2 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

Additional file 2. Summary statistics of the species phenotype association analyses.

Authors

  • Baldini, Federico ;
  • Hertel, Johannes ;
  • Sandt, Estelle ;
  • Thinnes, Cyrille C. ;
  • Lorieza Neuberger-Castillo ;
  • Pavelka, Lukas ;
  • Betsou, Fay ;
  • Rejko Krüger ;
  • Thiele, Ines
1 Citation0 Mentions85% FAIR0.7 Dataset Index
10.6084/m9.figshare.124571902020

Additional file 4 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

Additional file 4. Summary statistics for the variance contributions of genera to net production capacities.

Authors

  • Baldini, Federico ;
  • Hertel, Johannes ;
  • Sandt, Estelle ;
  • Thinnes, Cyrille C. ;
  • Lorieza Neuberger-Castillo ;
  • Pavelka, Lukas ;
  • Betsou, Fay ;
  • Rejko Krüger ;
  • Thiele, Ines
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.124572022020

Additional file 5 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

Additional file 5. Summary statistics of the net production capacity phenotype association analyses.

Authors

  • Baldini, Federico ;
  • Hertel, Johannes ;
  • Sandt, Estelle ;
  • Thinnes, Cyrille C. ;
  • Lorieza Neuberger-Castillo ;
  • Pavelka, Lukas ;
  • Betsou, Fay ;
  • Rejko Krüger ;
  • Thiele, Ines
1 Citation0 Mentions85% FAIR0.6 Dataset Index
10.6084/m9.figshare.12457205.v12020

Additional file 5 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

Additional file 5. Summary statistics of the net production capacity phenotype association analyses.

Authors

  • Baldini, Federico ;
  • Hertel, Johannes ;
  • Sandt, Estelle ;
  • Thinnes, Cyrille C. ;
  • Lorieza Neuberger-Castillo ;
  • Pavelka, Lukas ;
  • Betsou, Fay ;
  • Rejko Krüger ;
  • Thiele, Ines
1 Citation0 Mentions15% FAIR0.7 Dataset Index
10.6084/m9.figshare.124572052020

Additional file 2 of Parkinson’s disease-associated alterations of the gut microbiome predict disease-relevant changes in metabolic functions

Additional file 2. Summary statistics of the species phenotype association analyses.

Authors

  • Baldini, Federico ;
  • Hertel, Johannes ;
  • Sandt, Estelle ;
  • Thinnes, Cyrille C. ;
  • Lorieza Neuberger-Castillo ;
  • Pavelka, Lukas ;
  • Betsou, Fay ;
  • Rejko Krüger ;
  • Thiele, Ines
1 Citation0 Mentions85% FAIR0.6 Dataset Index
10.6084/m9.figshare.12457190.v12020