Evidence map›Paper›PMID 26561561›Full record

ArticleThe Plant cell2015

Chemical Modifications Mark Alternatively Spliced and Uncapped Messenger RNAs in Arabidopsis.

Lee E Vandivier, Rafael Campos, Pavel P Kuksa, Ian M Silverman, Li-San Wang, Brian D Gregory

Abstract read
In one paragraph

Article in The Plant cell, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing 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

28 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Crosstalk between RNA mPlant communications · 2024
    Review
  5. Article
  6. Article
  7. Review
  8. Review
  9. Article
  10. RNA methylation in plants: An overview.Frontiers in plant science · 2023
    Review
  11. Review
  12. Review
  13. Messenger RNA 5' NADDevelopmental cell · 2021
    Article
  14. Review
  15. NPlant direct · 2020
    Article
  16. Review
  17. Article
  18. Article
  19. Occurrence and Functions of mPlant physiology · 2020
    Article
  20. Review
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.

Lee E VandivierDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104 Cell and Molecular Biology Graduate Program, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
Rafael CamposDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104.ORCID http://orcid.org/0000-0002-1395-8571
Pavel P KuksaInstitute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104 Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104.ORCID http://orcid.org/0000-0003-2248-6403
Ian M SilvermanDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104 Cell and Molecular Biology Graduate Program, University of Pennsylvania, Philadelphia, Pennsylvania 19104.
Li-San WangInstitute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104 Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania 19104.
Brian D GregoryDepartment of Biology, University of Pennsylvania, Philadelphia, Pennsylvania 19104 Cell and Molecular Biology Graduate Program, University of Pennsylvania, Philadelphia, Pennsylvania 19104 bdgregor@sas.upenn.edu.ORCID http://orcid.org/0000-0001-7532-0138

Funding

TRAINING PROGRAM IN CELL AND MOLECULAR BIOLOGYT32GM007229 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI BARTOLOMEI, MARISA S. · 1985 to 2023
$14.0M
PREDOCTORAL TRAINING PROGRAM IN GENETICST32GM008216 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI EPSTEIN, DOUGLAS J · 1987 to 2023
$8.3M
Computational genome-wide RNA profiling using next-generation sequencingR01GM099962 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI WANG, LI-SAN · 2012 to 2016
$1.5M
NIGMS NIH HHS 5T32GM007229-37NIGMS NIH HHS R01 GM099962NIGMS NIH HHS R01-GM099962NIGMS NIH HHS T32 GM007229NIGMS NIH HHS T32 GM008216
6 · The paper itself

Abstract

Posttranscriptional chemical modification of RNA bases is a widespread and physiologically relevant regulator of RNA maturation, stability, and function. While modifications are best characterized in short, noncoding RNAs such as tRNAs, growing evidence indicates that mRNAs and long noncoding RNAs (lncRNAs) are likewise modified. Here, we apply our high-throughput annotation of modified ribonucleotides (HAMR) pipeline to identify and classify modifications that affect Watson-Crick base pairing at three different levels of the Arabidopsis thaliana transcriptome (polyadenylated, small, and degrading RNAs). We find this type of modifications primarily within uncapped, degrading mRNAs and lncRNAs, suggesting they are the cause or consequence of RNA turnover. Additionally, modifications within stable mRNAs tend to occur in alternatively spliced introns, suggesting they regulate splicing. Furthermore, these modifications target mRNAs with coherent functions, including stress responses. Thus, our comprehensive analysis across multiple RNA classes yields insights into the functions of covalent RNA modifications in plant transcriptomes.

Indexed as

Alternative SplicingArabidopsisBase PairingHEK293 CellsHeLa CellsHumansMolecular Sequence AnnotationReproducibility of ResultsRibonucleotidesRNA CapsRNA, MessengerStress, PhysiologicalTranscriptomeRibonucleotidesRNA CapsRNA, Messenger

Identifiers

PMID26561561
PMCPMC4682304

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.