Cell lines form the cornerstone of preclinical studies that help researchers like you understand the mechanisms of normal and disease biology. Yet, inaccuracies in public datasets and cell line contamination adversely affect your research, hamper your insights and lead you to false hypotheses.
To make it easier for you to access ‘omics data for cell line characterization, we’ve partnered with ATCC to establish ATCC Cell Line Land. This is a unique database with transcriptomic (RNA-seq) and genomic (whole exome sequencing) datasets from the most highly utilized human and mouse cell lines and primary tissues and cells in ATCC’s collection. This database helps you quickly, easily and cost-effectively advance your drug development.
ATCC offers credible, authenticated and characterized cell lines and primary sources for reproducible research results. The advantage of working with ‘omics data from ATCC Cell Line Land is that the data is derived from cell lines cultured in ISO-compliant conditions. This means the data is reliable and comes from pure, uncontaminated samples. The transcriptome or whole genome is then sequenced from the cell line in replicate, and the resulting ‘omics data is processed and curated using our stringent and rigorous methods for ‘omics data curation, structuring and integration.
ATCC Cell Line Land delivers high-quality, expert-curated ‘omics data to save you valuable time and resources while empowering your drug discovery research.
Quickly find relevant cell line ‘omics data for your gene of interest, understand expression levels of a single gene or multiple genes across different cell lines and reveal gene signatures with powerful ‘omics data visualization. Generate hypotheses by mining cell line datasets for tissues, diseases and treatments of interest, then combine and slice up the datasets to reveal patterns that correspond to clinical parameters and find known compounds and treatments that affect your targets.
Cell line samples across tissue categories in ATCC Cell Line Land.
ATCC Cell Line Land is continually growing, with ‘omics data on 1000 new samples each year. These datasets and metadata are processed and curated to our strict standards, using controlled vocabularies and extensive manual curation.
This high-quality cell line ‘omics data includes consistent data labels and vocabulary- and formatting-controlled metadata.
We capture metadata on each cell line, including standard culture conditions, extraction protocols, sample preparation and NGS library preparation. This consistent metadata curation of ATCC cell line ‘omics data lets you quickly identify traits across cell lines with speed and accuracy to hone in on relevant data.
With API access to QIAGEN OmicSoft data, you can:
Thanks to our rigorous metadata curation, you can perform large and complex cross-database, multi-omics queries with structured, integrated data. We also offer flat file options for ingesting the data into your own database or through our GUI designed for ‘omics visualization.
