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Record W4413192962 · doi:10.1021/acscentsci.5c00606

Optical Control of Membrane Viscosity Modulates ER-to-Golgi Trafficking

2025· article· en· W4413192962 on OpenAlexafffund
Noemi Jiménez‐Rojo, Suihan Feng, Johannes Morstein, Stefanie D. Pritzl, Antonino Asaro, Sergio López, Yun Xu, T. HARAYAMA, Nynke A. Vepřek, Christopher J. Arp, Martin Reynders, A. Novák, Evgeny Kanshin, Jan Lipfert, Beatrix Ueberheide, Manuel Muñiz, Theobald Lohmueller, Howard Riezman, Dirk Trauner

Bibliographic record

VenueACS Central Science · 2025
Typearticle
Languageen
FieldNeuroscience
TopicPhotoreceptor and optogenetics research
Canadian institutionsInstitute of Infection and Immunity
FundersDivision of ChemistryNational Institute of General Medical SciencesNational Cancer InstituteNational Key Research and Development Program of ChinaEuropean Regional Development FundInstitut National de la Santé et de la Recherche MédicaleNYU Grossman School of MedicineFondation LeducqNational Center of Competence in Research Chemical BiologyStudienstiftung des Deutschen VolkesCentre National de la Recherche ScientifiqueChinese Academy of SciencesDirectorate for Biological SciencesEuskal Herriko UnibertsitateaAugsburg UniversityNational Institutes of HealthAgencia Estatal de InvestigaciónSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungYork UniversityUniversity of PennsylvaniaÉcole Polytechnique Fédérale de LausanneUniversité de GenèveEusko JaurlaritzaUniversidad de SevillaUniversiteit UtrechtCalifornia Institute of TechnologyDeutsche ForschungsgemeinschaftAlexander von Humboldt-StiftungNational Science Foundation
KeywordsGolgi apparatusViscosityMembraneControl (management)Cell biologyChemistryEndoplasmic reticulumBiophysicsBiologyComputer sciencePhysicsBiochemistryArtificial intelligenceThermodynamics

Abstract

fetched live from OpenAlex

High Resolution Image Download MS PowerPoint Slide The lipid composition of cellular membranes is highly dynamic and undergoes continuous remodeling, affecting the biophysical properties critical to biological function. Here, we introduce an optical approach to manipulate membrane viscosity based on an exogenous synthetic fatty acid with an azobenzene photoswitch, termed FAAzo4 . Cells rapidly incorporate FAAzo4 into phosphatidylcholine and phosphatidylethanolamine in a concentration- and cell type-dependent manner. This generates photoswitchable PC and PE analogs, which are predominantly located in the endoplasmic reticulum. Irradiation causes a rapid photoisomerization that decreases membrane viscosity with high spatiotemporal precision. We use the resulting “PhotoCells” to study the impact of membrane viscosity on ER-to-Golgi transport and demonstrate that this two-step process has distinct membrane viscosity requirements. Our approach provides an unprecedented way of manipulating membrane biophysical properties directly in living cells and opens novel avenues to probe the effects of viscosity in a wide variety of biological processes.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.021
Threshold uncertainty score0.437

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.313
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations4
Published2025
Admission routes2
Has abstractyes

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