Evidence map›Paper›PMID 33382953›Full record

ArticleRNA biology2021

5´XP sRNA-seq: efficient identification of transcripts with and without 5´ phosphorylation reveals evolutionary conserved small RNA.

Unn Kugelberg, Daniel Nätt, Signe Skog, Claudia Kutter, Anita Öst

Abstract read
In one paragraph

Article in RNA biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Unn KugelbergDepartment of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Daniel NättDepartment of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.ORCID 0000-0001-9182-9401
Signe SkogDepartment of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Claudia KutterDepartment of Microbiology, Tumor and Cell Biology, Science for Life Laboratory, Karolinska Institute, Stockholm.
Anita ÖstDepartment of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.ORCID 0000-0003-0547-1904

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Small RNA (sRNA) sequencing has been critical for our understanding of many cellular processes, including gene regulation. Nonetheless, the varying biochemical properties of sRNA, such as 5´ nucleotide modifications, make many sRNA subspecies incompatible with common protocols for sRNA sequencing. Here we describe 5XP-seq that outlines a novel strategy that captures a more complete picture of sRNA. By tagging 5´P sRNA during library preparation, 5XP-seq combines an open approach that includes all types of 5'-terminal modifications (5´X), with a selective approach for 5-phosphorylated sRNA (5´P). We show that 5XP-seq not only enriches phosphorylated miRNA and piRNA but successfully discriminates these sRNA from all other sRNA species. We further demonstrate the importance of this strategy by successful inter-species validation of sRNAs that would have otherwise failed, including human to insect translation of several tRNA (tRFs) and rRNA (rRFs) fragments. By combining 5´ insensitive library strategies with 5´ sensitive tagging, we have successfully tackled an intrinsic bias in modern sRNA sequencing that will help us reveal the true complexity and the evolutionary significance of the sRNA world.

Indexed as

Evolution, MolecularAnimalsDrosophila melanogasterDrosophila ProteinsEmbryo, NonmammalianGene LibraryMicroRNAsPhosphorylationRNA, RibosomalRNA-SeqRNA, Small InterferingRNA, Small UntranslatedDrosophila ProteinsMicroRNAsRNA, RibosomalRNA, Small InterferingRNA, Small Untranslated5´ taggingfragmentationillumina sequencingmodificationphosphorylationRNA seqrRNASmall RNAtRNA

Identifiers

PMID33382953
PMCPMC8594926

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.