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Develop superior siRNA designs and discover miRNA biology
MicroRNAs (miRNAs) play a key role in regulating gene expression, making them critical targets for therapeutic development. Our miR-eCLIP assay offers precise, transcriptome-wide data on miRNA binding sites across various cell lines and tissues, helping you discover where miRNAs directly interact with their targets.
Our ready to download K562 dataset provides the actionable data you need to advance siRNA- and miRNA-based therapies through improving target validation and refining AI models for drug design. If you need miRNA binding data from a specific cell line or tissue, we can generate custom datasets tailored to your goals.
Assay:
miR-eCLIP
Available datasets:
K562 cell line, custom
Use:
AI model training, small oligonucleotide design, basic research
Replicable data, actionable data
This dataset includes aligned sequencing data to support your AI model training, as well as analysis performed by our internal bioinformatics team to reveal key insights into miRNA behavior.
Explore the data with interactive reports
To get to actionable insights faster, we have generated an interactive report to assist with data exploration. Included in this report are plots that reveal canonical and noncanonical binding by miRNAs, miRNA abundance, and the categories of genes being regulated by miRNAs.
An example of our miR-eCLIP report, which provides interactive plots and searchable tables.
Visualize miRNA activity
We provide bigWig tracks to visualize where chimeric miRNA-mRNA reads are accumulating, and BED files that list miRNA binding positions. With these files, researchers and drug developers can examine miRNA binding across genes of interest or zoom out to see patterns of miRNA regulation across the transcriptome.
Direct detection of miRNA binding in the 3' UTR of E2F3. Each row is a different miRNA. Peaks are where that specific miRNA binds.
Make your own discoveries
BAM files contain information on where each miRNA-mRNA chimeric read maps across the genome. These files can be used by bioinformaticians to perform analyses for specific research and therapeutic goals. The raw data can also be used as input to train machine learning models to predict miRNA activity.
The miR-eCLIP dataset can be used to make new discoveries and train models for therapeutic design.