Evidence map›Paper›PMID 27870833›Full record

ArticleNature structural & molecular biology2017

Integrative classification of human coding and noncoding genes through RNA metabolism profiles.

Neelanjan Mukherjee, Lorenzo Calviello, Antje Hirsekorn, Stefano de Pretis, Mattia Pelizzola, Uwe Ohler

Abstract read
PubMed Publisher
In one paragraph

Article in Nature structural & molecular biology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 106 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
106citing papers in PubMed, 1 pooled it
9.6field-weighted citation impact, top 1% 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

106 citing papers in PubMed, 1 synthesis or guideline pooled it, 189 citations in OpenAlex.

  1. Pooled it
  2. Article
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  4. Article
  5. Article
  6. Article
  7. Intron Retention Controls Localization of lncRNAsbioRxiv : the preprint server for biology · 2026
    Article
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  11. Article
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  13. Article
  14. Review
  15. Psychiatric Symptoms in Wilson's Disease-Consequence ofInternational journal of molecular sciences · 2024
    Review
  16. Article
  17. Review
  18. Article
  19. Non-coding RNA research · 2024
    Review
  20. Review

46 more citing papers are in PubMed but not listed here.

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

6 authors at 2 institutions in 2 countries.

Neelanjan MukherjeeBerlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany.
Lorenzo CalvielloBerlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany.
Antje HirsekornBerlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany.
Stefano de PretisCenter for Genomic Science of IIT@SEMM, Fondazione Instituto Italiano di Tecnologia, Milan, Italy.
Mattia PelizzolaCenter for Genomic Science of IIT@SEMM, Fondazione Instituto Italiano di Tecnologia, Milan, Italy.
Uwe OhlerBerlin Institute for Medical Systems Biology, Max Delbrück Center for Molecular Medicine, Berlin, Germany.ORCID 0000-0002-0881-3116
Max Delbrück Center · DECenter for Genomic Science · IT

Funding

Posttranscriptional regulation by mRNA-binding shuttling and transport proteinsR01GM104962 · NIGMS · ROCKEFELLER UNIVERSITY · PI OHLER, UWE, PATEL, DINSHAW J · 2012 to 2016
$4.4M
NIGMS NIH HHS R01 GM104962
6 · The paper itself

Abstract

Pervasive transcription of the human genome results in a heterogeneous mix of coding RNAs and long noncoding RNAs (lncRNAs). Only a small fraction of lncRNAs have demonstrated regulatory functions, thus making functional lncRNAs difficult to distinguish from nonfunctional transcriptional byproducts. This difficulty has resulted in numerous competing human lncRNA classifications that are complicated by a steady increase in the number of annotated lncRNAs. To address these challenges, we quantitatively examined transcription, splicing, degradation, localization and translation for coding and noncoding human genes. We observed that annotated lncRNAs had lower synthesis and higher degradation rates than mRNAs and discovered mechanistic differences explaining slower lncRNA splicing. We grouped genes into classes with similar RNA metabolism profiles, containing both mRNAs and lncRNAs to varying extents. These classes exhibited distinct RNA metabolism, different evolutionary patterns and differential sensitivity to cellular RNA-regulatory pathways. Our classification provides an alternative to genomic context-driven annotations of lncRNAs.

Indexed as

Gene ExpressionHEK293 CellsHumansMolecular Sequence AnnotationOpen Reading FramesRNA, MessengerRNA SplicingRNA, UntranslatedRNA, MessengerRNA, Untranslated

Identifiers

PMID27870833
OpenAlexW2554008396

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.