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Filtering by: Creator Heemskerk, Idse Language Python

Linking single-cell dynamics to cell fate in differentiating hPSCs - example data

Creator:

Teague, Seth, Yu, Zhiyuan, and Heemskerk, Idse

Description:

Images were collected as part of a project investigating the interpretation of BMP signaling dynamics by differentiating human pluripotent stem cells. Image files are in the proprietary Imaris (.ims) file format. MATLAB and Python code for image processing and quantification is provided with the data and at https://github.com/seth414/HeemskerkLabMethods. Processed data originally published in Teague et al., 2024 (see below).

Keyword:

cell tracking, human pluripotent stem cells, immunofluorescence, and signaling dynamics

Citation to related publication:

Teague, S., Primavera, G., Chen, B. et al. Time-integrated BMP signaling determines fate in a stem cell model for early human development. Nat Commun 15, 1471 (2024). https://doi.org/10.1038/s41467-024-45719-9

Discipline:

Health Sciences and Engineering