Evidence map›Paper›PMID 24623808›Full record

ArticleNucleic acids research2014

Vicinal: a method for the determination of ncRNA ends using chimeric reads from RNA-seq experiments.

Zhipeng Lu, A Gregory Matera

Abstract read
In one paragraph

Article in Nucleic acids research, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
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  5. Review
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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

2 authors.

Zhipeng LuDepartment of Biology, University of North Carolina, Chapel Hill, NC 27599-3280, USA Integrative Program for Biological and Genome Sciences, University of North Carolina, Chapel Hill, NC 27599-3280, USA matera@unc.edu.
A Gregory MateraDepartment of Biology, University of North Carolina, Chapel Hill, NC 27599-3280, USA Department of Genetics, University of North Carolina, Chapel Hill, NC 27599-3280, USA Integrative Program for Biological and Genome Sciences, University of North Carolina, Chapel Hill, NC 27599-3280, USA matera@unc.edu.

Funding

ORGANIZATION OF RIBONUCLEOPROTEINS IN MAMMALIAN CELLSR01GM053034 · NIGMS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MATERA, A. GREGORY · 1996 to 2015
$4.3M
NIGMS NIH HHS R01 GM053034NIGMS NIH HHS R01-GM053034
6 · The paper itself

Abstract

Non-coding (nc)RNAs are important structural and regulatory molecules. Accurate determination of the primary sequence and secondary structure of ncRNAs is important for understanding their functions. During cDNA synthesis, RNA 3' end stem-loops can self-prime reverse transcription, creating RNA-cDNA chimeras. We found that chimeric RNA-cDNA fragments can also be detected at 5' end stem-loops, although at much lower frequency. Using the Gubler-Hoffman method, both types of chimeric fragments can be converted to cDNA during library construction, and they are readily detectable in high-throughput RNA sequencing (RNA-seq) experiments. Here, we show that these chimeric reads contain valuable information about the boundaries of ncRNAs. We developed a bioinformatic method, called Vicinal, to precisely map the ends of numerous fruitfly, mouse and human ncRNAs. Using this method, we analyzed chimeric reads from over 100 RNA-seq datasets, the results of which we make available for users to find RNAs of interest. In summary, we show that Vicinal is a useful tool for determination of the precise boundaries of uncharacterized ncRNAs, facilitating further structure/function studies.

Indexed as

Sequence Analysis, RNASoftwareAlgorithmsAnimalsBase SequenceComputational BiologyHumansMolecular Sequence AnnotationMolecular Sequence DataRNA, UntranslatedRNA, Untranslated

Identifiers

PMID24623808
PMCPMC4027162

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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.