Automated Author Profile

Schermelleh, Lothar

Current S-Index

3.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

1.6

Average Dataset Index per dataset

Total Datasets

2

Total datasets for this author

Average FAIR Score

73.1%

Average FAIR Score per dataset

Total Citations

0

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

Whole-body integration of gene expression and single-cell morphology

Animal bodies are composed of hundreds of cell types that differ in location, gene expression, morphology, cytoarchitecture, and physiology. Integrating information from these distinct levels has the potential to unravel developmental, physiological, and evolutionary principles. We established and explored the link between cell-type-specific gene expression and subcellular morphology for the entire body of the marine annelid Platynereis dumerilii. For this, we registered a whole-body cellular expression atlas to a high-resolution electron microscopy dataset, segmented all cell somata and nuclei and traced a subset of the neurons in the head. The neuron reconstructions as provided for download here allow for detailed analyses of morphology, projections and subcellular features of different neuron types. The reconstructions can be visualized in PyKNOSSOS (https://github.com/adwanner/PyKNOSSOS). H.M. Vergara, C. Pape, K. Meechan, V. Zinchenko, C. Genoud, A.A. Wanner, B. Titze, R. Templin, P.Y. Bertucci, O. Simakov, et al. (2020). Whole-body integration of gene expression and single-cell morphology. bioRxiv (2020), 10.1101/2020.02.26.961037
https://www.biorxiv.org/content/10.1101/2020.02.26.961037v1

Authors

  • Vergara, Hernando M. ;
  • Pape, Constantin ;
  • Meechan, Kimberly I. ;
  • Zinchenko, Valentyna ;
  • Genoud, Christel ;
  • Wanner, Adrian A. ;
  • Mutemi, Kevin Nzumbi ;
  • Titze, Benjamin ;
  • Templin, Rachel M. ;
  • Bertucci, Paola Y. ;
  • Simakov, Oleg ;
  • Dürichen, Wiebke ;
  • Machado, Pedro ;
  • Savage, Emily L. ;
  • Schermelleh, Lothar ;
  • Schwab, Yannick ;
  • Friedrich, Rainer W. ;
  • Kreshuk, Anna ;
  • Tischer, Christian ;
  • Arendt, Detlev
0 Citations0 Mentions73% FAIR1.6 Dataset Index
10.5281/zenodo.46601352021

Whole-body integration of gene expression and single-cell morphology

Animal bodies are composed of hundreds of cell types that differ in location, gene expression, morphology, cytoarchitecture, and physiology. Integrating information from these distinct levels has the potential to unravel developmental, physiological, and evolutionary principles. We established and explored the link between cell-type-specific gene expression and subcellular morphology for the entire body of the marine annelid Platynereis dumerilii. For this, we registered a whole-body cellular expression atlas to a high-resolution electron microscopy dataset, segmented all cell somata and nuclei and traced a subset of the neurons in the head. The neuron reconstructions as provided for download here allow for detailed analyses of morphology, projections and subcellular features of different neuron types. The reconstructions can be visualized in PyKNOSSOS (https://github.com/adwanner/PyKNOSSOS). H.M. Vergara, C. Pape, K. Meechan, V. Zinchenko, C. Genoud, A.A. Wanner, B. Titze, R. Templin, P.Y. Bertucci, O. Simakov, et al. (2020). Whole-body integration of gene expression and single-cell morphology. bioRxiv (2020), 10.1101/2020.02.26.961037
https://www.biorxiv.org/content/10.1101/2020.02.26.961037v1

Authors

  • Vergara, Hernando M. ;
  • Pape, Constantin ;
  • Meechan, Kimberly I. ;
  • Zinchenko, Valentyna ;
  • Genoud, Christel ;
  • Wanner, Adrian A. ;
  • Mutemi, Kevin Nzumbi ;
  • Titze, Benjamin ;
  • Templin, Rachel M. ;
  • Bertucci, Paola Y. ;
  • Simakov, Oleg ;
  • Dürichen, Wiebke ;
  • Machado, Pedro ;
  • Savage, Emily L. ;
  • Schermelleh, Lothar ;
  • Schwab, Yannick ;
  • Friedrich, Rainer W. ;
  • Kreshuk, Anna ;
  • Tischer, Christian ;
  • Arendt, Detlev
0 Citations0 Mentions73% FAIR1.6 Dataset Index
10.5281/zenodo.46601342021