Evidence map›Paper›PMID 28467899›Full record

ArticleCell reports2017

High-Resolution RNA Maps Suggest Common Principles of Splicing and Polyadenylation Regulation by TDP-43.

Gregor Rot, Zhen Wang, Ina Huppertz, Miha Modic, Tina Lenče, Martina Hallegger, Nejc Haberman, Tomaž Curk, Christian von Mering, Jernej Ule

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 1 pooled it
4.3field-weighted citation impact, top 5% 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

78 citing papers in PubMed, 1 synthesis or guideline pooled it, 117 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. TDP-43: [GU]-ardian of the transcriptome.Molecular neurodegeneration · 2026
    Review
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  7. Article
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  12. Aberrant NSUN1 activity connects mLife science alliance · 2026
    Article
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  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article

18 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

10 authors at 7 institutions in 5 countries.

Gregor RotInstitute of Molecular Life Sciences and Swiss Institute of Bioinformatics, Winterthurerstrasse 190, 8057 Zurich, Switzerland; MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK. Electronic address: gregor.rot@uzh.ch.
Zhen WangMRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK; Institut de Biologie de l'ENS (IBENS), 46 rue d'Ulm, Paris 75005, France.
Ina HuppertzMRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK; European Molecular Biology Laboratory, Meyerhofstrasse 1, 69117 Heidelberg, Germany.
Miha ModicMRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK; Institute of Stem Cell Research, Helmholtz Center Munich, Ingolstaedter Landstrasse 1, 85764 Neuherberg, Germany.
Tina LenčeMRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK; Institute of Molecular Biology, Ackermannweg 4, 55128 Mainz, Germany.
Martina HalleggerUCL Institute of Neurology, Queen Square, London WC1N 3BG, UK; The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK.
Nejc HabermanUCL Institute of Neurology, Queen Square, London WC1N 3BG, UK; The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK.
Tomaž CurkFaculty of Computer and Information Science, University of Ljubljana, Večna pot 113, 1001 Ljubljana, Slovenia.
Christian von MeringInstitute of Molecular Life Sciences and Swiss Institute of Bioinformatics, Winterthurerstrasse 190, 8057 Zurich, Switzerland.
Jernej UleMRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH, UK; UCL Institute of Neurology, Queen Square, London WC1N 3BG, UK; The Francis Crick Institute, 1 Midland Road, London NW1 1AT, UK. Electronic address: jernej.ule@crick.ac.uk.
MRC Laboratory of Molecular Biology · GBUniversity College London · GBEuropean Molecular Biology Laboratory · DEHelmholtz Zentrum München · DENational Hospital for Neurology and Neurosurgery · GBSIB Swiss Institute of Bioinformatics · CHUniversity of Ljubljana · SI

Funding

European Research Council 206726
6 · The paper itself

Abstract

Many RNA-binding proteins (RBPs) regulate both alternative exons and poly(A) site selection. To understand their regulatory principles, we developed expressRNA, a web platform encompassing computational tools for integration of iCLIP and RNA motif analyses with RNA-seq and 3' mRNA sequencing. This reveals at nucleotide resolution the "RNA maps" describing how the RNA binding positions of RBPs relate to their regulatory functions. We use this approach to examine how TDP-43, an RBP involved in several neurodegenerative diseases, binds around its regulated poly(A) sites. Binding close to the poly(A) site generally represses, whereas binding further downstream enhances use of the site, which is similar to TDP-43 binding around regulated exons. Our RNAmotifs2 software also identifies sequence motifs that cluster together with the binding motifs of TDP-43. We conclude that TDP-43 directly regulates diverse types of pre-mRNA processing according to common position-dependent principles.

Indexed as

PolyadenylationRNA SplicingDNA-Binding ProteinsHEK293 CellsHumansProtein BindingRNA 3' Polyadenylation SignalsRNA, MessengerDNA-Binding ProteinsRNA, MessengerTARDBP protein, human3′ mRNA sequencingalternative polyadenylationalternative splicingclustered sequence motifsexpressRNAiCLIPpositional regulatory principlesRNA mapRNAmotifs2TDP-43

Identifiers

PMID28467899
PMCPMC5437728
OpenAlexW2611449604

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.