ArticleGigaScience2020
Community standards for open cell migration data.
Article in GigaScience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
19 citing papers in PubMed.
- Circulating Tumor Cells in Glioblastoma.Cancers · 2025Review
- Advancing in vitro cell migration studies: a review of open-source analytical platforms for cancer and wound healing research.Cell adhesion & migration · 2025Review
- Acquisition, quality control, and architecture of a large image dataset as a tool for in silico cell biological research.Materials today. Bio · 2025Article
- Datagraphy: toward a systematic approach to dataset discovery.GigaScience · 2025Article
- Systematic data analysis pipeline for quantitative morphological cell phenotyping.Computational and structural biotechnology journal · 2024Review
- Methods and computational tools to study eukaryotic cell migrationFrontiers in cell and developmental biology · 2024Review
- Multisite assessment of reproducibility in high-content cell migration imaging data.Molecular systems biology · 2023Article
- Review
- Liquid biopsy and glioblastoma.Exploration of targeted anti-tumor therapy · 2023Review
- WASp controls oriented migration of endothelial cells to achieve functional vascular patterning.Development (Cambridge, England) · 2022Article
- Liquid biopsy for monitoring medulloblastoma.Extracellular vesicles and circulating nucleic acids · 2022Review
- Cell-free DNA as a biomarker in cancer.Extracellular vesicles and circulating nucleic acids · 2022Review
- linus: Conveniently explore, share, and present large-scale biological trajectory data in a web browser.PLoS computational biology · 2021Article
- Liquid Biopsy and Primary Brain Tumors.Cancers · 2021Review
- Data science in cell imaging.Journal of cell science · 2021Review
- Sharing biological data: why, when, and how.FEBS letters · 2021Article
- Developing open-source software for bioimage analysis: opportunities and challenges.F1000Research · 2021Article
- Community standards for open cell migration data.GigaScience · 2020Article
- Key challenges facing data-driven multicellular systems biology.GigaScience · 2019Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
25 authors.
Funding
Abstract
Cell migration research has become a high-content field. However, the quantitative information encapsulated in these complex and high-dimensional datasets is not fully exploited owing to the diversity of experimental protocols and non-standardized output formats. In addition, typically the datasets are not open for reuse. Making the data open and Findable, Accessible, Interoperable, and Reusable (FAIR) will enable meta-analysis, data integration, and data mining. Standardized data formats and controlled vocabularies are essential for building a suitable infrastructure for that purpose but are not available in the cell migration domain. We here present standardization efforts by the Cell Migration Standardisation Organisation (CMSO), an open community-driven organization to facilitate the development of standards for cell migration data. This work will foster the development of improved algorithms and tools and enable secondary analysis of public datasets, ultimately unlocking new knowledge of the complex biological process of cell migration.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.