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Seqpac: a framework for sRNA-seq analysis in R using sequence-based counts
Linköping University, Department of Biomedical and Clinical Sciences, Division of Cell Biology. Linköping University, Faculty of Medicine and Health Sciences.ORCID iD: 0000-0002-7590-8326
Linköping University, Department of Biomedical and Clinical Sciences, Division of Cell Biology. Linköping University, Faculty of Medicine and Health Sciences.
Linköping University, Department of Biomedical and Clinical Sciences, Division of Cell Biology. Linköping University, Faculty of Medicine and Health Sciences.
Linköping University, Department of Biomedical and Clinical Sciences, Division of Cell Biology. Linköping University, Faculty of Medicine and Health Sciences.ORCID iD: 0000-0003-0547-1904
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2023 (English)In: Bioinformatics, ISSN 1367-4803, E-ISSN 1367-4811, Vol. 39, no 4, article id btad144Article in journal (Refereed) Published
Abstract [en]

Motivation: Feature-based counting is commonly used in RNA-sequencing (RNA-seq) analyses. Here, sequences must align to target features (like genes or non-coding RNAs) and related sequences with different compositions are counted into the same feature. Consequently, sequence integrity is lost, making results less traceable against raw data.Small RNA (sRNA) often maps to multiple features and shows an incredible diversity in form and function. Therefore, applying feature-based strategies may increase the risk of misinterpretation. We present a strategy for sRNA-seq analysis that preserves the integrity of the raw sequence making the data lineage fully traceable. We have consolidated this strategy into Seqpac: An R package that makes a complete sRNA analysis available on multiple platforms. Using published biological data, we show that Seqpac reveals hidden bias and adds new insights to studies that were previously analyzed using feature-based counting.We have identified limitations in the concurrent analysis of RNA-seq data. We call it the traceability dilemma in alignment-based sequencing strategies. By building a flexible framework that preserves the integrity of the read sequence throughout the analysis, we demonstrate better interpretability in sRNA-seq experiments, which are particularly vulnerable to this problem. Applying similar strategies to other transcriptomic workflows may aid in resolving the replication crisis experienced by many fields that depend on transcriptome analyses.

Place, publisher, year, edition, pages
OXFORD UNIV PRESS , 2023. Vol. 39, no 4, article id btad144
National Category
Bioinformatics and Systems Biology
Identifiers
URN: urn:nbn:se:liu:diva-193708DOI: 10.1093/bioinformatics/btad144ISI: 000968866900001PubMedID: 36944267OAI: oai:DiVA.org:liu-193708DiVA, id: diva2:1757055
Note

Funding Agencies|Swedish Research Council [2015-03141]; Knut and Alice Wallenberg Foundation [2015.0165]; Ragnar Soderberg; Swedish Research Council for Sustainable Development [2020-01042]

Available from: 2023-05-15 Created: 2023-05-15 Last updated: 2023-10-23
In thesis
1. Small non-coding RNA in early fly development: plasticity, interactions and improved bioinformatic tools
Open this publication in new window or tab >>Small non-coding RNA in early fly development: plasticity, interactions and improved bioinformatic tools
2023 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

At fertilization, the male and female pronuclei undergo a transformation from germline to pluripotency as they fuse, marking the beginning of Drosophila embryogenesis. As the parental contributions decrease, the zygote takes control of its genome in a process called the maternal-to-zygotic transition (MZT). Several small non-coding RNAs (sncRNAs), a very large and diverse group of RNAs, have regulatory roles during this transition. This includes for example microRNAs (miRNAs) and piwi-interacting RNAs (piRNAs). Regulation by miRNAs mainly occurs through mediating maternal mRNA degradation, while piRNAs operate by repressing transposable elements (TEs) and regulating the nanos-induced embryonic body axis determination.

In this thesis, the complex and dynamic field of early Drosophila embryogenesis and sncRNAs are put in relation to the included papers. In Paper I, I explored the most stress-sensitive embryonic period and found that stress before the midblastula transition retains maternal miRNAs. These miRNAs impact zygotic gene activation by modulating the boundary factor Elba1, leading to compromised transcription control. Paper III examines the piRNA population during MZT. I find differences of unique piRNA sequences in embryos of different ages but not in target preferences, potentially highlighting the importance of constant repression of certain TEs. Paper II addresses specific difficulties with sncRNA seq data analysis and presents a bioinformatic framework to improve these analyses using a sequence-based strategy.

This thesis highlights the intricate interplay of sncRNAs in the critical period of early Drosophila embryogenesis and offers insights into their regulatory roles.

Place, publisher, year, edition, pages
Linköping: Linköping University Electronic Press, 2023. p. 59
Series
Linköping University Medical Dissertations, ISSN 0345-0082 ; 1873
Keywords
Drosophila, Maternal-to-zygotic transition, sncRNA, miRNA, piRNA, Embryogenesis, Zygotic gene activation
National Category
Bioinformatics and Systems Biology
Identifiers
urn:nbn:se:liu:diva-198696 (URN)10.3384/9789180753395 (DOI)9789180753388 (ISBN)9789180753395 (ISBN)
Public defence
2023-11-30, Berzeliussalen, Building 463, Campus US, Linköping, 09:00 (English)
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Available from: 2023-10-23 Created: 2023-10-23 Last updated: 2023-10-23Bibliographically approved

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