NLM DIR Seminar Schedule
UPCOMING SEMINARS
RECENT SEMINARS
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June 30, 2026 Jaya Srivastava
Disrupted Regulation of Essential Genes Mediates Dementias and Age-Associated Disorders -
June 11, 2026 Angela Jiang
Identification and Evolutionary Analysis of Steroid-Metabolism Enzymes in Gut Microbes -
June 10, 2026 Luda Diatchenko
New Insights on Pain Biology from Human Transcriptomics: How Stimulation of Immune Response Shapes Pain Resolution -
June 9, 2026 Pascal Mutz
Characterization of covalently closed circular RNA replicators detected in (meta)transcriptomic data -
June 4, 2026 Madeleine Clore
Explaining why AlphaFold struggles to predict mutational effects
Scheduled Seminars on May 2, 2025
In-person: Building 38A/B2N14 NCBI Library or Meeting Link
Contact NLMDIRSeminarScheduling@mail.nih.gov with questions about this seminar.
Abstract:
Covalently closed circular RNAs (cccRNA) are involved in various cellular processes and are the genomic template of viroids and viroid-like elements such as Ribozyviria (including Hepatitis Delta Virus, HDV), virusoids, ambiviruses or the recently discovered obelisks. Although their presence across eukaryotes and archaea and as infectious agents, their abundance as well as variety is far from being understood, including completely undiscovered entities as seen with recently discovered obelisks.
I will present our preliminary results characterizing nearly 9 million putative cccRNA found in (meta)transcriptomic data by a recently developed pipeline in our group. The majority of cccRNAs is rather small with 75% below 250 nt but largest ones are thousands of nucleotides long. Predicting open reading frames revealed nearly 5 million encoding for putative proteins of at least 60 aa. Subsequent protein clustering, annotation and structure prediction of proteins encoded by at least two independent cccRNAs was used to characterize the putative proteins. Putative cellular proteins encoded by cccRNAs were linked to their likely cellular role by KEGG pathways annotation and putative viral proteins were examined. Interestingly, a handful of putative proteins encoded by at least 10 cccRNAs showed good structure prediction and a globular fold but no relationship with known proteins, indicating the presence of newly discovered cccRNA entities. To classify the cccRNA itself, we started to predict RNA secondary structures to identify abundant folds which can represent new classes of Ribozymes.