Automated Author Profile

Kubankova, Marketa

0000-0001-7086-8938

Current S-Index

11.3

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.7

Average Dataset Index per dataset

Total Datasets

16

Total datasets for this author

Average FAIR Score

31.0%

Average FAIR Score per dataset

Total Citations

1

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

Extended Data Fig 4: Physical phenotype characterisation of cells isolated mechanically and enzymatically from murine liver.

This dataset contains measurements of the physical phenotype of single cells dissociated from mouse liver using a tissue grinder device or by enzymatic dissociation. The datasets include two runs from each experiment.

Measurements were performed using real-time fluorescent deformability cytometry.
TG.zip-contains data acquired during the measurements in 'rtdc' format from tissues dissociated using a tissue grinder.
Enzymatic.zip-contains data acquired during the measurements in 'rtdc' format from tissues dissociated using an enzymatic protocol.

Authors

  • Soteriou, Despina ;
  • Kubankova, Marketa
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.17099735.v2January 2023

Extended Data Fig. 3: Detection of cell doublets using RT-FDC.

This dataset contains measurements of the physical phenotype of mouse cells mechanically dissociated from the spleen, thymus, and kidney using a tissue grinder device.

Measurements were performed using real-time fluorescent deformability cytometry. Fluorescent antibodies used: CD31-PE, CD45-FITC and EpCAM-APC.
TG.zip-contains data acquired during the measurements in '.rtdc' format of spleen or thymus cells dissociated using a tissue grinder (TG) device).


Authors

  • Soteriou, Despina ;
  • Kubankova, Marketa
0 Citations0 Mentions15% FAIR0.2 Dataset Index
10.6084/m9.figshare.17099618.v2January 2023

Extended Data Fig. 3: Detection of cell doublets using RT-FDC.

This dataset contains measurements of the physical phenotype of mouse cells mechanically dissociated from the spleen, thymus, and kidney using a tissue grinder device.

Measurements were performed using real-time fluorescent deformability cytometry. Fluorescent antibodies used: CD31-PE, CD45-FITC and EpCAM-APC.
TG.zip-contains data acquired during the measurements in '.rtdc' format of spleen or thymus cells dissociated using a tissue grinder (TG) device).


Authors

  • Soteriou, Despina ;
  • Kubankova, Marketa
0 Citations0 Mentions15% FAIR0.1 Dataset Index
10.6084/m9.figshare.17099618January 2023

Extended Data Fig 4: Physical phenotype characterisation of cells isolated mechanically and enzymatically from murine liver.

This dataset contains measurements of the physical phenotype of single cells dissociated from mouse liver using a tissue grinder device or by enzymatic dissociation. The datasets include two runs from each experiment.

Measurements were performed using real-time fluorescent deformability cytometry.
TG.zip-contains data acquired during the measurements in 'rtdc' format from tissues dissociated using a tissue grinder.
Enzymatic.zip-contains data acquired during the measurements in 'rtdc' format from tissues dissociated using an enzymatic protocol.

Authors

  • Soteriou, Despina ;
  • Kubankova, Marketa
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.17099735January 2023

Physical phenotype of blood cells is altered in COVID-19

Clinical syndrome coronavirus disease 2019 (COVID-19) induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is characterized by rapid spreading and high mortality worldwide. While the pathology is not yet fully understood, hyper-inflammatory response and coagulation disorders leading to congestions of microvessels are considered to be key drivers of the still increasing death toll. Until now, physical changes of blood cells have not been considered to play a role in COVID-19 related vascular occlusion and organ damage. Here we report an evaluation of multiple physical parameters including the mechanical features of five frequent blood cell types, namely erythrocytes, lymphocytes, monocytes, neutrophils, and eosinophils. More than 4 million blood cells of 17 COVID-19 patients at different levels of severity, 24 volunteers free from infectious or inflammatory diseases, and 14 recovered COVID-19 patients were analyzed. We found significant changes in lymphocyte stiffness, monocyte size, neutrophil size and deformability, and heterogeneity of erythrocyte deformation and size. While some of these changes recovered to normal values after hospitalization, others persisted for months after hospital discharge, evidencing the long-term imprint of COVID-19 on the body.

Authors

  • Kubánková, Markéta ;
  • Hohberger, Bettina ;
  • Hoffmanns, Jakob ;
  • Fürst, Julia ;
  • Herrmann, Martin ;
  • Guck, Jochen ;
  • Kräter, Martin
1 Citation0 Mentions13% FAIR0.6 Dataset Index
10.5281/zenodo.4737521May 2021

Physical phenotype of blood cells is altered in COVID-19

Clinical syndrome coronavirus disease 2019 (COVID-19) induced by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is characterized by rapid spreading and high mortality worldwide. While the pathology is not yet fully understood, hyper-inflammatory response and coagulation disorders leading to congestions of microvessels are considered to be key drivers of the still increasing death toll. Until now, physical changes of blood cells have not been considered to play a role in COVID-19 related vascular occlusion and organ damage. Here we report an evaluation of multiple physical parameters including the mechanical features of five frequent blood cell types, namely erythrocytes, lymphocytes, monocytes, neutrophils, and eosinophils. More than 4 million blood cells of 17 COVID-19 patients at different levels of severity, 24 volunteers free from infectious or inflammatory diseases, and 14 recovered COVID-19 patients were analyzed. We found significant changes in lymphocyte stiffness, monocyte size, neutrophil size and deformability, and heterogeneity of erythrocyte deformation and size. While some of these changes recovered to normal values after hospitalization, others persisted for months after hospital discharge, evidencing the long-term imprint of COVID-19 on the body.

Authors

  • Kubánková, Markéta ;
  • Hohberger, Bettina ;
  • Hoffmanns, Jakob ;
  • Fürst, Julia ;
  • Herrmann, Martin ;
  • Guck, Jochen ;
  • Kräter, Martin
0 Citations0 Mentions73% FAIR1.6 Dataset Index
10.5281/zenodo.4737520May 2021

Single-cell physical phenotyping of mechanically dissociated tissue biopsies for fast diagnostic assessment: Fig 3: Physical phenotyping of cells from transfer colitis model

This dataset contains measurements of the physical phenotype of mouse cells mechanically dissociated from the mouse colon using a tissue grinder device. The datasets include a control group, i.e. healthy mouse colon and a transfer colitis group; where immunodeficient mice were injected intraperitoneally with CD4+CD25- T cells three weeks prior to extracting and analysing colon cells.

Measurements were performed using real-time fluorescent deformability cytometry. Fluorescent antibodies used: CD31-PE, CD45-FITC and EpCAM-APC.
.zip-contains data acquired during the measurements in 'rtdc' format

Authors

  • Soteriou, Despina ;
  • Kubankova, Marketa
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.17091974January 2021

Single-cell physical phenotyping of mechanically dissociated tissue biopsies for fast diagnostic assessment: Fig. 2 Liver, Colon, Kidney RT-DC data

This dataset contains measurements of the physical phenotype of single cells mechanically dissociated from mouse liver, colon and kidney using a tissue grinder device.

Measurements were performed using real-time fluorescent deformability cytometry. Fluorescent antibodies used: CD31-PE, CD45-FITC and EpCAM-APC.
.rtdc-contains data acquired during the measurements in 'rtdc' format.


Authors

  • Soteriou, Despina ;
  • Kubankova, Marketa
0 Citations0 Mentions85% FAIR1.8 Dataset Index
10.6084/m9.figshare.17091746January 2021

Single-cell physical phenotyping of mechanically dissociated tissue biopsies for fast diagnostic assessment: Fig. 2 Liver, Colon, Kidney RT-DC data

This dataset contains measurements of the physical phenotype of single cells mechanically dissociated from mouse liver, colon and kidney using a tissue grinder device.

Measurements were performed using real-time fluorescent deformability cytometry. Fluorescent antibodies used: CD31-PE, CD45-FITC and EpCAM-APC.
.rtdc-contains data acquired during the measurements in 'rtdc' format.


Authors

  • Soteriou, Despina ;
  • Kubankova, Marketa
0 Citations0 Mentions85% FAIR1.8 Dataset Index
10.6084/m9.figshare.17091746.v1January 2021

Single-cell physical phenotyping of mechanically dissociated tissue biopsies for fast diagnostic assessment: Fig 3: Physical phenotyping of cells from transfer colitis model

This dataset contains measurements of the physical phenotype of mouse cells mechanically dissociated from the mouse colon using a tissue grinder device. The datasets include a control group, i.e. healthy mouse colon and a transfer colitis group; where immunodeficient mice were injected intraperitoneally with CD4+CD25- T cells three weeks prior to extracting and analysing colon cells.

Measurements were performed using real-time fluorescent deformability cytometry. Fluorescent antibodies used: CD31-PE, CD45-FITC and EpCAM-APC.
.zip-contains data acquired during the measurements in 'rtdc' format

Authors

  • Soteriou, Despina ;
  • Kubankova, Marketa
0 Citations0 Mentions13% FAIR0.3 Dataset Index
10.6084/m9.figshare.17091974.v1January 2021