Evidence map›Paper›PMID 24326622›Full record

ReviewNature reviews. Molecular cell biology2014

The return of the nucleus: transcriptional and epigenetic control of autophagy.

Jens Füllgrabe, Daniel J Klionsky, Bertrand Joseph

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Molecular cell biology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 277 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
277citing papers in PubMed, 1 pooled it
23.6field-weighted citation impact, top 1% of its field
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

277 citing papers in PubMed, 1 synthesis or guideline pooled it, 452 citations in OpenAlex.

  1. Guideline
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  15. Article
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  17. Article
  18. Monitoring Autophagy with GFP-LC3 Reporter.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  19. Review
  20. Review

217 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 at 1 institution in 1 country.

Jens FüllgrabeDepartment of Oncology Pathology, Cancer Centrum Karolinska, Karolinska Institutet, Stockholm 17176, Sweden.
Daniel J KlionskyLife Sciences Institute and Departments of Molecular, Cellular and Developmental Biology and Biological Chemistry, University of Michigan, Ann Arbor, Michigan 48109, USA.
Bertrand JosephDepartment of Oncology Pathology, Cancer Centrum Karolinska, Karolinska Institutet, Stockholm 17176, Sweden.
Karolinska Institutet · SE

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 GM53396NIGMS NIH HHS R01 GM053396
6 · The paper itself

Abstract

Autophagy is a conserved process by which cytoplasmic components are degraded by the lysosome. It is commonly seen as a cytoplasmic event and, until now, nuclear events were not considered of primary importance for this process. However, recent studies have unveiled a transcriptional and epigenetic network that regulates autophagy. The identification of tightly controlled transcription factors (such as TFEB and ZKSCAN3), microRNAs and histone marks (especially acetylated Lys16 of histone 4 (H4K16ac) and dimethylated H3K9 (H3K9me2)) associated with the autophagic process offers an attractive conceptual framework to understand the short-term transcriptional response and potential long-term responses to autophagy.

Indexed as

Epigenesis, GeneticAnimalsAutophagyCell NucleusHistonesHumansMicroRNAsProtein Processing, Post-TranslationalRNA InterferenceTranscription FactorsTranscription, GeneticHistonesMicroRNAsTranscription Factors

Identifiers

PMID24326622
OpenAlexW2028260889

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.