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miRTrace reveals the organismal origins of microRNA sequencing data
Stockholm University, Faculty of Science, Department of Molecular Biosciences, The Wenner-Gren Institute.
Stockholm University, Faculty of Science, Department of Molecular Biosciences, The Wenner-Gren Institute.
Stockholm University, Faculty of Science, Department of Molecular Biosciences, The Wenner-Gren Institute.
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Number of Authors: 62018 (English)In: Genome Biology, ISSN 1465-6906, E-ISSN 1474-760X, Vol. 19, article id 213Article in journal (Refereed) Published
Abstract [en]

We present here miRTrace, the first algorithm to trace microRNA sequencing data back to their taxonomic origins. This is a challenge with profound implications for forensics, parasitology, food control, and research settings where cross-contamination can compromise results. miRTrace accurately (> 99%) assigns real and simulated data to 14 important animal and plant groups, sensitively detects parasitic infection in mammals, and discovers the primate origin of single cells. Applying our algorithm to over 700 public datasets, we find evidence that over 7% are cross-contaminated and present a novel solution to clean these computationally, even after sequencing has occurred.

Place, publisher, year, edition, pages
2018. Vol. 19, article id 213
National Category
Environmental Biotechnology Biological Sciences
Identifiers
URN: urn:nbn:se:su:diva-163552DOI: 10.1186/s13059-018-1588-9ISI: 000452319600001PubMedID: 30514392OAI: oai:DiVA.org:su-163552DiVA, id: diva2:1279327
Available from: 2019-01-16 Created: 2019-01-16 Last updated: 2022-03-23Bibliographically approved
In thesis
1. microRNAs: from biogenesis to organismal tracing
Open this publication in new window or tab >>microRNAs: from biogenesis to organismal tracing
2020 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

MicroRNAs (miRNAs) are short noncoding RNAs of around 22 nucleotides in length, which help to shape the expression of most mRNAs. Perturbation of miRNA expression has revealed a variety of defects in development, cell specification, physiology and behavior. This thesis focuses on two topics of miRNA: identification of structural features that influence miRNA biogenesis (Paper I) and application of taxonomical marker miRNAs to resolve organismal origin of samples (Paper II and III).

The current model of miRNA hairpin biogenesis has limited information content and appears to be incomplete. In paper I, we apply a novel high-throughput screening method to profile the optimal structure of miRNA hairpins for efficient and precise miRNA biogenesis. The optimal structure consists of tight and loose local structures across the hairpin, which reflects the constraints of biogenesis proteins. We find that miRNA hairpins with stable lower basal stem are more efficiently processed and have a higher expression level in tissues of 20 animal species. We address that the structural features - which have been largely neglected in the current model - are in fact as important as the well-known sequence motifs.

New miRNAs are continuously added over evolutionary time and are rarely secondarily lost, making them ideal taxonomical markers. In paper II, we demonstrate as a proof-of-principle that miRNAs can be used to trace biological sample back to the lineage or even species of origin. Based on the marker miRNAs, we develop miRTrace, the first software to accurately trace miRNA sequences back to their taxonomical origin. The method can sensitively identify the origin of single cells and detect parasitic nematode RNA in mammalian host blood sample. In paper III, we apply miRNA tracing to address a controversial question about the origin of the exogenous plant miRNAs (xenomiRs) found in human samples, and which have been proposed to regulate human gene expression. Our computational and experimental results provide evidence that xenomiRs are derived from technical artifacts rather than dietary intake.

Place, publisher, year, edition, pages
Stockholm: Institutionen för molekylär biovetenskap, Wenner-Grens institut, Department of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, 2020. p. 46
Keywords
microRNA, microRNA biogenesis, taxonomical identification, high throughput sequencing, xenomiRs, RNA structure, high throughput screening
National Category
Bioinformatics and Systems Biology Evolutionary Biology Structural Biology Biochemistry and Molecular Biology
Research subject
Molecular Bioscience
Identifiers
urn:nbn:se:su:diva-185709 (URN)978-91-7911-306-3 (ISBN)978-91-7911-307-0 (ISBN)
Public defence
2020-11-18, online via Zoom, public link is available at the department web site, Stockholm, 09:00 (English)
Opponent
Supervisors
Available from: 2020-10-26 Created: 2020-10-05 Last updated: 2022-02-25Bibliographically approved

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Kang, WenjingFromm, BastianBiryukova, InnaFriedländer, Marc R.

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