Evidence map›Paper›PMID 30006038›Full record

ReviewCurrent opinion in cell biology2018

Interacting organelles.

Sarah Cohen, Alex M Valm, Jennifer Lippincott-Schwartz

Abstract readReview
In one paragraph

Review in Current opinion in cell biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 145 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
145citing papers in PubMed, 2 pooled it
–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

145 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Stay in touch with the endoplasmic reticulum.Science China. Life sciences · 2024
    Pooled it
  2. Pooled it
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Review
  15. Review
  16. Article
  17. Functional role ofVirulence · 2025
    Article
  18. Review
  19. Article
  20. Article

85 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

3 authors.

Sarah CohenUniversity of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
Alex M ValmUniversity at Albany, SUNY, Albany, NY, United States.
Jennifer Lippincott-SchwartzHHMI Janelia Research Campus, Ashburn, VA, United States. Electronic address: lippincottschwartzj@janelia.hhmi.org.

Funding

Fatty acid trafficking in astrocytes: role of mitochondrial morphology and lipid droplet dynamicsR00AG052570 · NIA · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COHEN, SARAH · 2018 to 2020
$747k
Howard Hughes Medical InstituteNIA NIH HHS R00 AG052570
6 · The paper itself

Abstract

Eukaryotic cells are organized into membrane-bound organelles. These organelles communicate with one another through vesicular trafficking pathways and membrane contact sites (MCSs). MCSs are sites of close apposition between two or more organelles that play diverse roles in the exchange of metabolites, lipids and proteins. Organelle interactions at MCSs also are important for organelle division and biogenesis. For example, the division of several organelles, including mitochondria and endosomes, seem to be regulated by contacts with the endoplasmic reticulum (ER). Moreover, the biogenesis of autophagosomes and peroxisomes involves contributions from the ER and multiple other cellular compartments. Thus, organelle-organelle interactions allow cells to alter the shape and activities of their membrane-bound compartments, allowing them to cope with different developmental and environmental conditions.

Indexed as

AnimalsEukaryotic CellsHumansIntracellular MembranesOrganellesProtein Transport

Identifiers

PMID30006038
PMCPMC6241252

What OpenQuestion holds

Textmetadata
LicenceTDM
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.