Meticulously curated ‘omics data from our gold-standard cell lines
- Expertly curated RNA-seq and whole-exome sequencing data from ATCC's human and mouse cell lines, with over 1,000 new datasets added every year.
- Cell lines are cultured and sequenced under ISO-compliant conditions, so you can trust that data are reliable and traceable to authenticated materials.
- Essential metadata like standard culture conditions, extraction protocols, sample preparation, and NGS library preparation are provided.
- Each ‘omics dataset and associated metadata are processed and curated using our uniform data processing and metadata curation standards.
Here, we offer two distinct platforms where customers can access ATCC’s authentic cell line omics data. Choose the one that best meets your needs.
Visit the ATCC Genome Portal Visit ATCC Cell Line Land
See how you can use this data in your research Explore our resources
ATCC Genome Portal
Best suited for scientists who have purchased the physical product and want to view and download clinically relevant variant calls and gene expression levels for ATCC cell lines. Data for purchased products is freely accessible with the corresponding lot number.
- Access carefully curated metadata
- Compare gene expression values
- Explore transcript expression levels
- View clinically relevant variant calls
- Connect to a REST-API for data downloads
- Use as a reference control in your experimental setting
ATCC Cell Line Land
Available from QIAGEN Digital Insights, this option includes all the cell line data available on the ATCC Genome Portal plus QIAGEN’s best-in-class bioinformatics solutions. This is best suited for scientists who are interested in large, highly curated data sets.
- Build hypotheses and design experiments
- Analyze pathway and gene interactomes
- Discover biomarkers and therapeutic targets
- Predict drug treatment responses
- Investigate molecular mechanism of disease pathogenesis
- Leverage comparative analysis tools, pipelines, and visualization tools
- Upload, store, and analyze data
See how our data can power your research applications
Predict drug sensitivity and optimize cell line selection
In this figure generated in ATCC Cell Line Land, we demonstrate that the baseline gene expression levels in various cancer cell lines can be evaluated. These data can be used for selecting appropriate models for drug screening against a candidate target gene. Each cell line's gene expression profile is analyzed to identify those with expression patterns most relevant to the target gene. In this example, the x-axis indicates the number of RNA sequencing datasets produced from biological replicates of the respective cell line, each containing a minimum of three biological replicates. Purple indicates induction while dark blue indicates reduction.
Evaluate the differential expression patterns of specific genes in normal and cancerous tissues
In this figure generated in ATCC Cell Line Land, the mRNA expression of the VHL gene shows significant differences between normal kidney tissue and kidney cancer tissue, particularly in clear cell renal cell carcinoma (ccRCC). In ccRCC, the VHL gene is often inactivated due to mutations, leading to reduced mRNA expression compared to normal kidney tissue.
Compare differentially expressed genes between cell lines
This volcano plot generated in ATCC Cell Line Land shows differentially expressed genes in the BDCM (ATCC CRL-2740) cell line (acute myelogenous leukemia) compared to the COLO829BL (ATCC CRL-1980) cell line (B lymphoblast normal). The x-axis represents the log2 fold change, and the y-axis represents the -log10 p-value.
Why data provenance matters
Cell models are the starting point for preclinical studies that help researchers understand the underlying mechanisms of normal and disease biology. However, the use of misidentified cell lines and inaccurate public datasets can adversely affect biomedical research, leading to false conclusions and non-reproducible data that can compound with each subsequent study. For scientists to make insightful correlations that can translate to the development of life-saving therapeutics, it is essential that they start with high-quality, authenticated biological materials backed by curated, accurate 'omics data.
"The high-quality 'omics datasets in the ATCC Genome Portal and ATCC Cell Line Land are traceable to the authenticated cells in our biorepository. This not only guarantees maximum data provenance but also enables researchers to quickly identify and access the cell lines they need for their research, saving valuable time and resources."– Jonathan Jacobs, PhD, Senior Director of Bioinformatics, ATCC |
