Evidence map›Paper›PMID 30107842›Full record

ArticleGenome biology2018

QsRNA-seq: a method for high-throughput profiling and quantifying small RNAs.

Alla Fishman, Dean Light, Ayelet T Lamm

Abstract read
In one paragraph

Article in Genome biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

15 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

3 authors.

Alla FishmanFaculty of Biology, Technion - Israel Institute of Technology, Technion City, 32000, Haifa, Israel.
Dean LightFaculty of Biology, Technion - Israel Institute of Technology, Technion City, 32000, Haifa, Israel.
Ayelet T LammFaculty of Biology, Technion - Israel Institute of Technology, Technion City, 32000, Haifa, Israel. ayeletla@technion.ac.il.ORCID 0000-0002-5973-5218

Funding

Israel Science Foundation (644/13)The Israeli Centers of Research Excellence (I-CORE) (1796/12)
6 · The paper itself

Abstract

The ability to profile and quantify small non-coding RNAs (sRNAs), specifically microRNAs (miRNAs), using high-throughput sequencing is challenging because of their small size. We developed QsRNA-seq, a method for preparation of sRNA libraries for high-throughput sequencing that overcomes this difficulty by enabling a gel-free separation of fragments shorter than 100 nt that differ only by 20 nt in length. The method allows the use of unique molecular identifiers for quantification and is more amenable to automation than gel-based methods. We show that QsRNA-seq gives very accurate, comprehensive, and reproducible results by looking at miRNAs in Caenorhabditis elegans embryos and larvae.

Indexed as

AnimalsBase PairingBase SequenceCaenorhabditis elegansEmbryo, NonmammalianGene LibraryHigh-Throughput Nucleotide SequencingLarvaMicroRNAsNucleotidesSequence Analysis, RNAMicroRNAsNucleotidesC. elegansHigh-throughput sequencingmiRNA

Identifiers

PMID30107842
PMCPMC6090667

What OpenQuestion holds

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Registered trials

None linked

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.