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Overview

The circRNA-seq Core specializes in the extraction, enrichment, and sequencing of covalently closed RNA molecules. Our proprietary library preparation methods allow for robust profiling of clinical specimens and FACS-isolated cells, yielding highly sensitive data for the study of microRNA sponges, RBP decoys, and novel therapeutic vectors.

Available Services

Small-scale circRNA-seq

A highly sensitive assay requiring orders of magnitude less input than published standard methods. Designed specifically for profiling rare cells and precious clinical samples.

Input Requirement: As low as 50 ng total RNA
Long-read circRNA-seq

Utilizes Nanopore instrumentation to sequence the entire RNA circle. By bypassing the bioinformatic limitations of short-read backsplicing detection, this assay perfectly preserves alternative splicing information and regulatory mechanisms.

Interactome Assays (collaboration)

Customized pipelines to study trans-factor interactions, specifically mapping RBP-circRNA binding kinetics and evaluating circRNA translation efficiency.

Bioinformatics Pipeline & Data Delivery

All circRNA sequencing data is rigorously processed to identify high-confidence backsplicing junctions and quantify circular RNA expression using a standard, up-to-date circRNA detection pipeline. Results are securely delivered via Globus, providing researchers with reliable, high-speed data transfer directly to their institutional or cloud endpoints.

Example circRNA Deliverables via our interactive data portal:

Upon project completion, your data is loaded into our interactive hub. Researchers receive comprehensive quality control metrics, backsplice junction counts, and navigable data tables:

IExample output: identified circRNA Positions with confidence score.
Example output: circRNA coordinates discovered
seqname start end gene_name gene_type circ_type score strand
chr1 805799 810170 AL669831.3 transcribed_processed_pseudo... exon 0.1758 -
chr1 1217045 1228641 SDF4 protein_coding exon 0.1172 -
chr1 1223244 1223968 SDF4 protein_coding exon 1.758 -
chr1 1256045 1267992 UBE2J2 protein_coding exon 0.0586 -
chr1 1477849 1478627 ATAD3B protein_coding intron 0.5274 +
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Example output: Identifying and comparing distribution of circRNA among six submitted samples.
example circRNA region distribution

Acknowledgment Policy

Please acknowledge the UC San Diego RNA Center in all publications and grant applications that include data generated in this facility.

Standard Language: "We thank the UC San Diego Center for RNA Technologies and Therapeutics for circRNA library preparation and sequencing."