William Richard Jeck is a researcher credited with identifying and validating endogenous circular RNA species. His Duke institutional profile gives the full name, and the corresponding institutional publication list directly links him to the 2013 circular-RNA paper published under William R. Jeck.[ref]
William Richard Jeck profile and scholarly works at Duke University. Named profile; Scholarly Works listing of the 2013 RNA article
Jeck and collaborators compared RNA sequencing results from samples treated with RNase R and corresponding untreated samples. The approach enriched for molecules resistant to degradation of linear RNA and detected junctions inconsistent with ordinary linear exon order. Complementary assays tested the circular interpretation. The paper also reported an association with complementary Alu elements in bordering introns; that association alone is not a complete reaction mechanism for every circle.[ref]
Circular RNAs are abundant, conserved, and associated with ALU repeats by William R. Jeck and others. Abstract and Figures 1–4; genomic-feature analysis
A numerical example clarifies what enrichment means. Imagine an original mixture of circular and linear RNA molecules, so circles comprise . After a hypothetical treatment, suppose circular and linear molecules remain. Circles now comprise of the recovered mixture, an -fold increase in their fraction, even though their absolute count decreased by . These invented counts assume that molecules are counted comparably and are not measurements from the paper. They show why a large proportional enrichment must not be interpreted as treatment having created more circles.
The same care applies to a candidate back-splicing junction: identifying an unusual sequence order and proving that its source molecule is circular are separate steps. Enzyme resistance, junction evidence and independent product characterization address different alternatives. Jeck's credited contribution is therefore more informative than a catalogue of surprising sequencing reads: it illustrates how computational discovery and biochemical validation can constrain one another without making every resistant transcript a proven circular RNA.
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