DSMZCellDive: Diving into high-throughput cell line data
Open accessAbstract
Human and animal cell lines serve as model systems in a wide range of life sciences such as cancer and infection research or drug screening. Reproducible data are highly dependent on authenticated, contaminant-free cell lines, no better delivered than by the official and certified biorepositories. Offering a web portal to high-throughput information on these model systems will facilitate working with and comparing to these references by data otherwise dispersed at different sources. We here provide DSMZCellDive to access a comprehensive data source on human and animal cell lines, freely available at celldive.dsmz.de . A wide variety of data sources are generated such as RNA-seq transcriptome data and STR (short tandem repeats) profiles. Several starting points ease entering the database via browsing, searching or visualising. This web tool is designed for further expansion on meta and high-throughput data to be generated in future. Explicated examples for the power of this novel tool include analysis of B-cell differentiation markers, homeo-oncogene expression, and measurement of genomic loss of heterozygosities by an enlarged STR panel of 17 loci. Sharing the data on cell lines by the biorepository itself will be of benefit to the scientific community since it (1) supports the selection of appropriate model cell lines, (2) ensures reliability, (3) avoids misleading data, (4) saves on additional experimentals, and (5) serves as reference for genomic and gene expression data.
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Curated reference databases such as ATCC STR, DSMZ's Cell Line Portal, and CLASTR at Cellosaurus were created as a technological advancement for STR profiling.
“The third, and perhaps most significant, advancement was the creation of curated reference databases such as ATCC STR [34], DSMZ’s Cell Line Portal [35], and CLASTR at Cellosaurus [36,37].”
From Genetic Insights into the Economic Toll of Cell Line Misidentification: A Comprehensive Review (2026) · cites this paper as [35]
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Genetic Insights into the Economic Toll of Cell Line Misidentification: A Comprehensive Review
Weiskirchen, R. (2026) · Medical Sciences · doi:10.3390/medsci14010025 · Cited by 4 · see citing works
- Authors
- Koblitz, J., Dirks, W. G., Eberth, S., Nagel, S., Steenpass, L., & Pommerenke, C.
- Affiliations
- Leibniz Institute DSMZ – German Collection of Microorganisms and Cell Cultures (DE)
- Corresponding author
- Koblitz, Julia
- Steenpass, Laura
- Venue
- F1000Research
- Publisher
- F1000 Research Ltd
- Published
- 2022-07-20
- Volume
- 11
- Pages
- 420
- ISSN
- 2046-1402 (ISSN-L)
- PMC
- PMC9334839
- OpenAlex
- W4286007907
- Cited by
- 22
- References
- 0
- Citations by year
- 2026: 3 · 2025: 5 · 2024: 8 · 2023: 5 · 2022: 1
- FWCI
- 4.95
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- F1000Research (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Leibniz SAW project DiASPora (Funding No. K280/2019)
- Topics
- Physical Sciences › Computer Science › Information Systems › Research Data Management Practices
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Phylogenetic Studies
- Keywords
- cell lines, biorepository, online databases, cell line authentication, microsatellite markers, RNA-seq transcriptome, loss of heterozygosity, cell line contamination, tumor models, drug screening
- MeSH terms
- Animals, Cell Line, Humans, Neoplasms, Reproducibility of Results, Microsatellite Repeats, Transcriptome
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