Evidence map›Paper›PMID 29749795›Full record

ArticleAutophagy2018

AIM/LIR-based fluorescent sensors-new tools to monitor mAtg8 functions.

Katarzyna Zientara-Rytter, Suresh Subramani

Abstract read
In one paragraph

Article in Autophagy, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. A current view of molecular dissection in autophagy machinery.Journal of physiology and biochemistry · 2020
    Review
  3. Article
  4. OncoTargets and therapy · 2019
    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.

Katarzyna Zientara-Ryttera Section of Molecular Biology, Division of Biological Sciences , University of California San Diego , La Jolla , CA , USA.
Suresh Subramania Section of Molecular Biology, Division of Biological Sciences , University of California San Diego , La Jolla , CA , USA.

Funding

TARGETING OF PROTEINS INTO PEROXISOMESR01DK041737 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AITCHISON, JOHN D., SUBRAMANI, SURESH · 1990 to 2025
$8.4M
NIDDK NIH HHS R01 DK041737
6 · The paper itself

Abstract

Macroautophagy/autophagy, a catabolic process by which cytoplasmic materials are degraded and recycled in lysosomes/vacuoles, remains a rapidly expanding research topic with the need for constantly improved methodologies to study each step of this pathway. Recently Lee and colleagues, as well as Stolz et al., independently reported the development of new AIM/LIR-based fluorescent sensors, which mark individual endogenous mammalian Atg8-family (mAtg8) proteins without affecting the autophagic flux. When expressed in cells, each sensor selectively recognizes individual mAtg8 isoforms and distinguishes mammalian MAP1LC3/LC3 proteins from the related GABARAPs. Such selectivity was achieved by using various LC3-interacting regions with high binding affinity to either a subgroup, or a specific, mAtg8 isoform as part of the sensor. Here we discuss the utility of these sensors in autophagy research and highlight their strengths, weaknesses and future directions.

Indexed as

Amino Acid MotifsAnimalsAutophagy-Related Protein 8 FamilyFluorescenceFluorescent DyesHumansMammalsMicrotubule-Associated ProteinsProtein BindingAutophagy-Related Protein 8 FamilyFluorescent DyesMicrotubule-Associated ProteinsAtg8Atg8-interacting motifautophagy assayfluorescent probesGABARAPLC3LC3-interacting regionsensor

Identifiers

PMID29749795
PMCPMC6103413

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.