dc.contributor.author | Gómez Martín, Cristina | |
dc.contributor.author | Medina, José M. | |
dc.contributor.author | Hackenberg, Michael | |
dc.date.accessioned | 2023-07-17T08:07:53Z | |
dc.date.available | 2023-07-17T08:07:53Z | |
dc.date.issued | 2023-05-22 | |
dc.identifier.citation | Gómez-Martín, C., Aparicio-Puerta, E., van Eijndhoven, M. A., Medina, J. M., Hackenberg, M., & Pegtel, D. M. (2023). Reassessment of miRNA variant (isomiRs) composition by small RNA sequencing. Cell Reports Methods, 3(5).[https://doi.org/10.1016/j.crmeth.2023.10048] | es_ES |
dc.identifier.uri | https://hdl.handle.net/10481/83775 | |
dc.description.abstract | IsomiRs, sequence variants of maturemicroRNAs, are usually detected and quantified using high-throughput
sequencing. Many examples of their biological relevance have been reported, but sequencing artifacts identified
as artificial variants might bias biological inference and therefore need to be ideally avoided. We conducted
a comprehensive evaluation of 10 different small RNA sequencing protocols, exploring both a theoretically
isomiR-free pool of synthetic miRNAs and HEK293T cells. We calculated that, with the exception of
two protocols, less than 5% of miRNA reads can be attributed to library preparation artifacts. Randomizedend
adapter protocols showed superior accuracy, with 40% of true biological isomiRs. Nevertheless, we
demonstrate concordance across protocols for selected miRNAs in non-templated uridyl additions. Notably,
NTA-U calling and isomiR target prediction can be inaccurate when using protocols with poor single-nucleotide
resolution. Our results highlight the relevance of protocol choice for biological isomiRs detection and
annotation, which has key potential implications for biomedical applications. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.title | Reassessment of miRNA variant (isomiRs) composition by small RNA sequencing | es_ES |
dc.type | journal article | es_ES |
dc.rights.accessRights | open access | es_ES |
dc.identifier.doi | 10.1016/j.crmeth.2023.10048 | |
dc.type.hasVersion | VoR | es_ES |