Live time-lapse dataset of in vitro wound healing experiments.
BACKGROUND
The wound healing assay is the common method to study collective cell migration in vitro. Computational analyses of live imaging exploit the rich temporal information and significantly improve understanding of complex phenomena that emerge during this mode of collective motility. Publicly available experimental data can allow application of new analyses to promote new discoveries, and assess algorithms' capabilities to distinguish between different experimental conditions.


RESULTS
A freely-available dataset of 31 time-lapse in vitro wound healing experiments of two cell lines is presented. It consists of six different experimental conditions with 4-6 replicates each, gathered to study the effects of a growth factor on collective cell migration. The raw data is available at 'The Cell: an Image Library' repository. This Data Note provides detailed description of the data, intermediately processed data, scripts and experimental validations that have not been reported before and are currently available at GigaDB. This is the first publicly available repository of live collective cell migration data that includes independent replicates for each set of conditions.


CONCLUSIONS
This dataset has the potential for extensive reuse. Some aspects in the data remain unexplored and can be exploited extensively to reveal new insight. The dataset could also be used to assess the performance of available and new quantification methods by demonstrating phenotypic discriminatory capabilities between the different experimental conditions. It may allow faster and more elaborated, reproducible and effective analyses, which will likely lead to new biological and biophysical discoveries.
Department of Cell Biology, UT Southwestern Medical Center, Dallas, TX 75024 USA.
Assaf
A
Zaritsky
Department of Clinical Microbiology and Immunology, Sackler School of Medicine, Tel Aviv University, Tel Aviv, 69978 Israel.
Sari
S
Natan
Israel Institute for Biological Research, P.O.B. 19, Ness Ziona, 74100 Israel.
Doron
D
Kaplan
School of Physics and Astronomy, The Raymond and Beverly Sackler Faculty of Exact Sciences, Tel-Aviv University, Tel-Aviv, 69978 Israel ; Center for Theoretical Biological Physics, Rice University, Houston, TX 77005-1827 USA ; Research & Development Unit Assaf Harofeh Medical Center, Zerifin, 70300 Israel.
Eshel
E
Ben-Jacob
Department of Clinical Microbiology and Immunology, Sackler School of Medicine, Tel Aviv University, Tel Aviv, 69978 Israel.
Ilan
I
Tsarfaty
D000818:Animals; D002460:Cell Line; D002465:Cell Movement / Q000187:drug effects; D016208:Databases, Factual; D004285:Dogs; D017228:Hepatocyte Growth Factor / Q000494:pharmacology*; D007091:Image Processing, Computer-Assisted; D007211:Indoles / Q000494:pharmacology*; D061985:Madin Darby Canine Kidney Cells; D051379:Mice; D013450:Sulfones / Q000494:pharmacology*; D059008:Time-Lapse Imaging; D014945:Wound Healing / Q000187:drug effects*
C480541:5-((2,6-dichlorobenzyl)sulfonyl)-3-((3,5-dimethyl-4-((2-(pyrrolidin-1-ylmethyl)pyrrolidin-1-yl)carbonyl)-1H-pyrrol-2-yl)methylene)-1,3-dihydro-2H-indol-2-one; D007211:Indoles; D013450:Sulfones; D017228:Hepatocyte Growth Factor
Collective cell migration, Wound healing assay; HGF/SF-Met; Image analysis; Live cell imaging