Evidence map›Paper›PMID 34165708›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2021

A Methodology to Study Pseudogenized lincRNAs.

Sweta Talyan, Miguel A Andrade-Navarro, Enrique M Muro

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 88% of its field
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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 at 2 institutions in 1 country.

Sweta TalyanSection of Bioinformatics and Systems Cardiology, Klaus Tschira Institute for Integrative Computational Cardiology, University Hospital Heidelberg, Heidelberg, Germany.
Miguel A Andrade-NavarroInstitute of Organismic and Molecular Evolution, Faculty of Biology, Johannes Gutenberg University Mainz, Mainz, Germany.
Enrique M MuroInstitute of Organismic and Molecular Evolution, Faculty of Biology, Johannes Gutenberg University Mainz, Mainz, Germany. muro@uni-mainz.de.
Johannes Gutenberg University Mainz · DEUniversity Hospital Heidelberg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Long intergenic noncoding RNAs (lincRNAs) are known to be tissue specifically expressed and able to regulate functional protein-coding genes: some can even act as competing endogenous RNAs (ceRNAs), because microRNAs can bind to them instead of the corresponding mRNA binding sites. Some lincRNAs contain remnants of protein-coding sequences and it has been hypothesized that they might arise after a pseudogenization processes. However, a major limitation in the study of such phenomenon is the lack of proper computational tools designed to align/analyze protein-coding sequences and noncoding sequences. To overcome this limitation, we published a method that finds the remnants of protein-coding sequences within the sequence of lincRNAs, as well as the corresponding sequences in parental proteins. This method, together with the visualization platform for tracing frameshifts and single point mutations within this type of sequences, are described here.

Indexed as

Amino Acid SequenceComputational BiologyMicroRNAsOpen Reading FramesPseudogenesRNA, Long NoncodingRNA, MessengerSequence AlignmentSequence Analysis, RNAMicroRNAsRNA, Long NoncodingRNA, MessengerceRNAlincRNA genelncRNA genemicroRNAProtein-coding geneProtein homologyPseudogeneRost curveSequence alignment

Identifiers

PMID34165708
OpenAlexW3175577596

What OpenQuestion holds

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Registered trials

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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.