Evidence map›Paper›PMID 24174638›Full record

ArticlePlant physiology2013

Multiple checkpoints for the expression of the chloroplast-encoded splicing factor MatK.

Stefanie Hertel, Reimo Zoschke, Laura Neumann, Yujiao Qu, Ilka M Axmann, Christian Schmitz-Linneweber

Abstract read
In one paragraph

Article in Plant physiology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Comparative complete chloroplast genome analysis ofFrontiers in plant science · 2026
    Article
  2. Article
  3. Article
  4. Phylogenomics and plastome evolution ofFrontiers in plant science · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
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.

Stefanie HertelInstitute for Theoretical Biology, Charité-Universitätsmedizin Berlin, D-10115 Berlin, Germany.
Reimo Zoschke
Laura Neumann
Yujiao Qu
Ilka M Axmann
Christian Schmitz-Linneweber

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The chloroplast genome of land plants contains only a single gene for a splicing factor, Maturase K (MatK). To better understand the regulation of matK gene expression, we quantitatively investigated the expression of matK across tobacco (Nicotiana tabacum) development at the transcriptional, posttranscriptional, and protein levels. We observed striking discrepancies of MatK protein and matK messenger RNA levels in young tissue, suggestive of translational regulation or altered protein stability. We furthermore found increased matK messenger RNA stability in mature tissue, while other chloroplast RNAs tested showed little changes. Finally, we quantitatively measured MatK-intron interactions and found selective changes in the interaction of MatK with specific introns during plant development. This is evidence for a direct role of MatK in the regulation of chloroplast gene expression via splicing. We furthermore modeled a simplified matK gene expression network mathematically. The model reflects our experimental data and suggests future experimental perturbations to pinpoint regulatory checkpoints.

Indexed as

ChloroplastsEndoribonucleasesGene Expression Regulation, EnzymologicGene Expression Regulation, PlantGene Regulatory NetworksIntronsModels, BiologicalNicotianaNucleotidyltransferasesRNA, MessengerRNA, PlantRNA SplicingRNA StabilitySeedlingsTime FactorsTranscription, GeneticEndoribonucleasesmRNA maturaseNucleotidyltransferasesRNA, MessengerRNA, Plant

Identifiers

PMID24174638
PMCPMC3850197

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.