Evidence map›Paper›PMID 27544281›Full record

ReviewJournal of molecular medicine (Berlin, Germany)2016

Autophagy core machinery: overcoming spatial barriers in neurons.

Aileen R Ariosa, Daniel J Klionsky

Abstract readReview
In one paragraph

Review in Journal of molecular medicine (Berlin, Germany), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 63 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
63citing papers in PubMed, 1 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

63 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Crosstalk between autophagy and ferroptosis in liver diseases (Review).International journal of molecular medicine · 2026
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3 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

2 authors.

Aileen R AriosaLife Sciences Institute, University of Michigan, Ann Arbor, MI, 48109, USA.
Daniel J KlionskyLife Sciences Institute, University of Michigan, Ann Arbor, MI, 48109, USA. klionsky@umich.edu.

Funding

ALTERNATIVE VACUOLAR TARGETING MECHANISMS IN YEASTR01GM053396 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KLIONSKY, DANIEL J. · 1995 to 2018
$12.1M
NIGMS NIH HHS R01 GM053396
6 · The paper itself

Abstract

Autophagy is a major degradation pathway that engulfs, removes, and recycles unwanted cytoplasmic material including damaged organelles and toxic protein aggregates. One type of autophagy, macroautophagy, is a tightly regulated process facilitated by autophagy-related (Atg) proteins that must communicate effectively and act in concert to enable the de novo formation of the phagophore, its maturation into an autophagosome, and its subsequent targeting and fusion with the lysosome or the vacuole. Autophagy plays a significant role in physiology, and its dysregulation has been linked to several diseases, which include certain cancers, cardiomyopathies, and neurodegenerative diseases. Here, we summarize the key processes and the proteins that make up the macroautophagy machinery. We also briefly highlight recently uncovered molecular mechanisms specific to neurons allowing them to uniquely regulate this catabolic process to accommodate their complicated architecture and non-dividing state. Overall, these distinct mechanisms establish a conceptual framework addressing how macroautophagic dysfunction could result in maladies of the nervous system, providing possible therapeutic avenues to explore with a goal of preventing or curing such diseases.

Indexed as

AutophagyAnimalsAutophagosomesHumansMembrane FusionModels, BiologicalNeuronsAutophagyMacroautophagyNeurons

Identifiers

PMID27544281
PMCPMC5071157

What OpenQuestion holds

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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.