Evidence map›Paper›PMID 34694601›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Introduction to Bioinformatics Resources for Post-transcriptional Regulation of Gene Expression.

Eliana Destefanis, Erik Dassi

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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
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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

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

2 authors.

Eliana DestefanisDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy.
Erik DassiDepartment of Cellular, Computational and Integrative Biology (CIBIO), University of Trento, Trento, Italy. erik.dassi@unitn.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Untranslated regions of mRNA (UTRs) are involved in defining the fate of the transcript through processes such as mRNA localization, degradation, translation initiation regulation, and several others: the action of trans-factors such as RNA-binding proteins and non-coding RNAs, combined with the presence of defined sequence and structural cis-elements, ultimately determines protein synthesis levels. Identifying functional regions in UTRs and uncovering post-transcriptional regulators acting upon these is thus of paramount importance to understand this regulatory layer: these tasks can now be approached computationally to reduce the testable hypothesis space and drive the experimental validation in a more effective way.This chapter will focus on presenting databases and tools allowing to study the various aspects of post-transcriptional regulation, including the profiling of actively translated mRNAs, regulatory network analysis (e.g., RBP and ncRNA binding sites), trans-factor binding sites prediction, motif search (sequence and secondary structure), and other aspects of this regulatory layer: two potential analysis pipelines are also presented as practical examples of how these tools could be integrated and effectively employed.

Indexed as

Computational BiologyGene Expression RegulationRNA, MessengerRNA, UntranslatedTranscription, GeneticUntranslated RegionsRNA, MessengerRNA, UntranslatedUntranslated RegionsBinding siteBioinformaticsData analysisDatabaseMotifncRNAOmicsPipelinePolysomal profilingPredictionRBPSecondary structureUTR

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.