Evidence map›Paper›PMID 42763312›Full record

ReviewCommunications biology2026

Beyond ER-Golgi trafficking: unconventional protein secretion as a new design frontier for synthetic secretion switches in mammalian cells.

Bingshun Shi, Xinyuan Qiu, Yongheng Jiang, Jiabo Cai, Lingyun Zhu

Abstract readReview
In one paragraph

Review in Communications biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Bingshun Shi *College of Science, National University of Defense Technology, Changsha, China.ORCID 0009-0003-2118-171X
Xinyuan Qiu *College of Science, National University of Defense Technology, Changsha, China. qiuxinyuan12@nudt.edu.cn.ORCID 0000-0002-9662-8075
Yongheng Jiang *College of Science, National University of Defense Technology, Changsha, China.
Jiabo CaiCollege of Science, National University of Defense Technology, Changsha, China.
Lingyun ZhuCollege of Science, National University of Defense Technology, Changsha, China. zhulingyun@nudt.edu.cn.ORCID 0000-0002-0420-4508

Funding

National Natural Science Foundation of China (National Science Foundation of China) 32400989Natural Science Foundation of Hunan Province (Hunan Provincial Natural Science Foundation) 2025JJ20028
6 · The paper itself

Abstract

Mammalian gene switches enable programmable cell behavior. However, current switches on transcriptional and translational layers require de novo RNA and protein synthesis, and secreted outputs must additionally undergo folding, post-translational processing, and intracellular trafficking, imposing delays that limit rapid extracellular responses. Rapid secretion-control switches instead act on pre-synthesized proteins by controlling retention, trafficking, storage, or release. Most current platforms exploit the classical endoplasmic reticulum (ER)-Golgi pathway, including engineered stimulus-secretion coupling in specialized secretory cells and ER retention, retrieval-signal cleavage, or synchronized trafficking in general mammalian hosts. Although these strategies improve response kinetics, they remain limited by ER dependence, host-cell specificity, cargo compatibility, basal leakage, and post-release transport delays. Here, we review current secretion-control architectures and highlight unconventional protein secretion as an underexplored source of design principles for positioning regulatory control closer to terminal protein export and expanding the architectures available for mammalian secretion control.

Indexed as

Endoplasmic ReticulumGolgi ApparatusAnimalsHumansProtein TransportSecretory Pathway

Identifiers

PMID42763312
PMCPMC13589747

What OpenQuestion holds

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Registered trials

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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.