Evidence map›Paper›PMID 19455563›Full record

ReviewIUBMB life2009

Peroxisome matrix and membrane protein biogenesis.

Changle Ma, Suresh Subramani

Abstract readReview
In one paragraph

Review in IUBMB life, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Molecular Programming of Drought-ChallengedFrontiers in microbiology · 2021
    Article
  3. Article
  4. Evolving models for peroxisome biogenesis.Current opinion in cell biology · 2014
    Review
  5. Article
  6. Article
  7. The peroxisome: an update on mysteries.Histochemistry and cell biology · 2012
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Article
  17. Article
  18. Review
  19. Peroxisome diversity and evolution.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2010
    Review
  20. 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

2 authors.

Changle MaSection of Molecular Biology, Division of Biological Sciences, University of California, San Diego, La Jolla, CA 92093-0322, USA.
Suresh Subramani

Funding

TARGETING OF PROTEINS INTO PEROXISOMESR01DK041737 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AITCHISON, JOHN D., SUBRAMANI, SURESH · 1990 to 2025
$8.4M
Targeting of proteins into peroxisomesR37DK041737 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANI, SURESH · 2004 to 2013
$5.3M
Targeting of Proteins into PeroxisomesR56DK041737 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SUBRAMANI, SURESH · 2014 to 2014
$149k
NIDDK NIH HHS DK41737NIDDK NIH HHS R01 DK041737NIDDK NIH HHS R37 DK041737NIDDK NIH HHS R56 DK041737
6 · The paper itself

Abstract

Peroxisomes play an important role in lipid metabolic pathways and are implicated in many human disorders. Their biogenesis has been studied over the last two decades using many uni and multi-cellular model systems and many aspects of the mechanisms and proteins involved in peroxisome biogenesis are conserved from yeast to humans. In this manuscript we review the recent progress made in our understanding of the mechanisms by which matrix and membrane proteins are sorted to and assembled into peroxisomes.

Indexed as

CytosolEndoplasmic ReticulumHumansIntracellular MembranesMembrane ProteinsPeroxisomal Targeting Signal 2 ReceptorPeroxisomesPeroxisome-Targeting Signal 1 ReceptorReceptors, Cytoplasmic and NuclearMembrane ProteinsPeroxisomal Targeting Signal 2 ReceptorPeroxisome-Targeting Signal 1 ReceptorReceptors, Cytoplasmic and Nuclear

Identifiers

PMID19455563
PMCPMC2712931

What OpenQuestion holds

Textmetadata
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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.