Evidence map›Paper›PMID 27489577›Full record

ReviewCommunicative & integrative biology

Inter-organelle ER-endolysosomal contact sites in metabolism and disease across evolution.

Hanaa Hariri, Rupali Ugrankar, Yang Liu, W Mike Henne

Abstract readReview
In one paragraph

Review in Communicative & integrative biology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Review
  7. Article
  8. Review
  9. Lipid Transfer Proteins and Membrane Contact Sites in Human Cancer.Frontiers in cell and developmental biology · 2019
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Discovery and Roles of ER-Endolysosomal Contact Sites in Disease.Advances in experimental medicine and biology · 2017
    Review
  15. Lysosomal Calcium in Neurodegeneration.Messenger (Los Angeles, Calif. : Print) · 2016
    Article
  16. Article
  17. 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

4 authors.

Hanaa HaririDepartment of Cell Biology, UT Southwestern Medical Center , Dallas, TX, USA.
Rupali UgrankarDepartment of Cell Biology, UT Southwestern Medical Center , Dallas, TX, USA.
Yang LiuDepartment of Cell Biology, UT Southwestern Medical Center , Dallas, TX, USA.
W Mike HenneDepartment of Cell Biology, UT Southwestern Medical Center , Dallas, TX, USA.

Funding

Spatial determinants in lipid metabolic organization at the sub-organelle levelR35GM119768 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI Mike Henne · 2016 to 2026
$4.1M
NIGMS NIH HHS R35 GM119768
6 · The paper itself

Abstract

Since their initial observation, contact sites formed between different organelles have transitioned from ignored curiosities to recognized centers for the exchange of metabolites and lipids. Contact formed between the ER and endomembrane system (eg. the plasma membrane, endosomes, and lysosomes) is of particular biomedical interest, as it governs aspects of lipid metabolism, organelle identity, and cell signaling. Here, we review the field of ER-endolysosomal communication from the perspective of three model systems: budding yeast, the fruit fly D. melanogaster, and mammals. From this broad perspective, inter-organelle communication displays a consistent role in metabolic regulation that was differentially tuned during the development of complex metazoan life. We also examine the current state of understanding of lipid exchange between organelles, and discuss molecular mechanisms by which this occurs.

Indexed as

Endoplasmic reticulum (ER)inter-organelle communicationmembrane contact sites (MCSs)

Identifiers

PMID27489577
PMCPMC4951168

What OpenQuestion holds

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Registered trials

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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.