ReviewMembranes2026
A New Anatomy of Autophagic Clearance: On the Roles of Intrinsic Disorder in the Membrane-Less on Membrane-Encapsulated Mechanism.
Review in Membranes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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0 citing papers in PubMed.
No citing paper in PubMed yet.
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Authors and funding
3 authors.
Funding
Abstract
Autophagy is a carefully regulated catabolic process that utilizes assemblies of specific sets of macromolecules operating at multiple stages of the pathway. Discoveries in recent years show that autophagy markedly relies on liquid-liquid phase separation (LLPS). Here, we present parameters that indicate the plasticity of autophagy proteins and their probability to undergo LLPS in macroautophagy and microautophagy. We show that microautophagy is an extremely LLPS-friendly pathway. Several mechanisms involving proteins in the autophagy machinery that drive LLPS on various types of membranes to regulate this process or that undergo LLPS as autophagic cargo are described in detail. We also summarize the factors that modulate the LLPS potential of autophagy proteins. A high probability of autophagy-related proteins to undergo spontaneous LLPS shown here can direct future research on the role of protein droplets in autophagy.
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Registered trials
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.