2022
DOI: 10.1101/2022.03.11.484016
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Retained introns in long RNA-seq reads are not reliably detected in sample-matched short reads

Abstract: There is growing interest in retained introns in a variety of disease contexts including cancer and aging. Many software tools have been developed to detect retained introns from short RNA-seq reads, but reliable detection is complicated by overlapping genes and transcripts as well as the presence of unprocessed or partially processed RNAs. We compared introns detected by 5 tools using short RNA-seq reads with introns observed in long RNA-seq reads from the same biological specimens and found: (1) significant … Show more

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Cited by 7 publications
(4 citation statements)
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“…To test this hypothesis, we reanalyzed data from models of induced readthrough showing that readthrough is indeed a causal inducer for the expression of gene proximal transposons after hyperosmotic stress and viral infection ( Figure 5 ). Given the technical challenges of measuring readthrough and the unreliability of intron retention detection tools ( David et al, 2022 ), our results are likely underestimating the true magnitude of correlation between readthrough and transposon expression.…”
Section: Discussionmentioning
confidence: 90%
See 1 more Smart Citation
“…To test this hypothesis, we reanalyzed data from models of induced readthrough showing that readthrough is indeed a causal inducer for the expression of gene proximal transposons after hyperosmotic stress and viral infection ( Figure 5 ). Given the technical challenges of measuring readthrough and the unreliability of intron retention detection tools ( David et al, 2022 ), our results are likely underestimating the true magnitude of correlation between readthrough and transposon expression.…”
Section: Discussionmentioning
confidence: 90%
“…5). Given the technical challenges of measuring readthrough and the unreliability of intron retention detection tools (David et al 2022) our results are likely underestimating the true magnitude of correlation between readthrough and transposon expression.…”
Section: Readthrough Read-in and Transposonsmentioning
confidence: 88%
“…Scripts to reproduce results contained here are available on GitHub under MIT license [ 77 ] and Zenodo [ 78 ].…”
Section: Acknowledgementsmentioning
confidence: 99%
“…Our work reused short- and long-read sequencing runs from a human whole blood sample (HX1; SRP065930 on SRA) [ 47 ] and a human induced pluripotent stem cell line sample (iPSC; SRP098984 on SRA) [ 48 ]. Data and figures generated by scripts are available on GitHub [ 77 ] and Zenodo [ 78 ].…”
mentioning
confidence: 99%