Evidence map›Paper›PMID 40222412›Full record

ReviewJournal of molecular biology2025

Autophagy, ER-phagy and ER Dynamics During Cell Differentiation.

Michele Cillo, Viviana Buonomo, Anna Vainshtein, Paolo Grumati

Abstract readReview
In one paragraph

Review in Journal of molecular biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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.

Michele CilloTelethon Institute of Genetics and Medicine (TIGEM), 80078 Pozzuoli, Italy; Department of Clinical Medicine and Surgery, Federico II University, 80131 Naples, Italy.
Viviana BuonomoTelethon Institute of Genetics and Medicine (TIGEM), 80078 Pozzuoli, Italy; Department of Clinical Medicine and Surgery, Federico II University, 80131 Naples, Italy.
Anna VainshteinCraft Science Inc, Toronto, ON, Canada.
Paolo GrumatiTelethon Institute of Genetics and Medicine (TIGEM), 80078 Pozzuoli, Italy; Department of Clinical Medicine and Surgery, Federico II University, 80131 Naples, Italy. Electronic address: p.grumati@tigem.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The endoplasmic reticulum (ER) is a multifunctional organelle essential for protein and lipid synthesis, ion transport and inter-organelle communication. It comprises a highly dynamic network of membranes that continuously reshape to support a wide range of cellular processes. During cellular differentiation, extensive remodelling of both ER architecture and its proteome is required to accommodate alterations in cell morphology and function. Autophagy, and ER-phagy in particular, plays a pivotal role in reshaping the ER, enabling cells to meet their evolving needs and adapt to developmental cues. Despite the ER's critical role in cellular differentiation, the mechanisms responsible for regulating its dynamics are not fully understood. Emerging evidence suggests that transcriptional and post-translational regulation play a role in fine-tuning ER-phagy and the unfolded protein response (UPR). This review explores the molecular basis of autophagy and ER-phagy, highlighting their role in ER remodelling during cellular differentiation. A deeper understanding of these processes could open new avenues for targeted therapeutic approaches in conditions where ER remodelling is impaired.

Indexed as

AutophagyCell DifferentiationEndoplasmic ReticulumAnimalsEndoplasmic Reticulum StressHumansUnfolded Protein Responsecell differentiationdevelopmentEndoplasmic reticulum

Identifiers

PMID40222412
PMCPMC12284586

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.