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Leaflet specific phospholipid imaging using genetically encoded proximity sensors
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Leaflet specific phospholipid imaging using genetically encoded proximity sensors

William M. Moore, Roberto J. Brea, Caroline H. Knittel +8 more
August 2025
 ·
bioRxiv
 ·
DOI 
10.1101/2024.05.01.592120
94
%
Reproducible
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It ranks in the top 1% of preprints assessed in Cell Biology this quarter.
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Why this is interesting

FACES solves the long-standing problem of leaflet-resolved lipid imaging in living cells, directly revealing how lipid transfer proteins and flippases generate membrane asymmetry—unlocking a class of questions cell biology has been unable to address.

QED claims analysis

Summary

FACES (Fluorogen-Activating Coincidence Encounter Sensing) enables quantitative imaging of subcellular lipid pools and their transbilayer orientation in living cells by combining genetically encoded fluorogen-activating proteins with bioorthogonal chemistry, revealing that phospholipids become enriched on the cytoplasmic leaflet while sphingolipids accumulate on the exoplasmic leaflet during TGN vesicle formation through coordinated actions of lipid transfer proteins and transbilayer flippases.

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Main Claim 1 –

FACES Enables Linear Quantification of ER N3-Phosphatidylcholine In Vivo

Supporting evidence

  • Mitochondrial PC FACES Signal Bands with Cristae Density
  • FACES Selectively Images ER versus Mitochondrial N3-PC Pools
  • VPS13A Mediates ER–Mitochondrial PC Transfer; STARD7 Acts Intramitochondrially
Main Claim 2 –

TGN Vesiculation Enriches Cytosolic Phospholipids and Exoplasmic Sphingolipids

Supporting evidence

  • TGN Vesicles Enrich Cytosolic PC/PI/PS but Exoplasmic Glycans
  • Sphingomyelin Colocalizes with Vesicles Enriched in Cytosolic Phospholipids
Main Claim 3 –

Lipid Transfer Proteins and Flippases Generate TGN Phosphatidylserine Asymmetry

Main Claim 4 –

FACES Reports Metabolism- and O-GlcNAc-Dependent Mitochondrial HexNAz Changes

Abstract

The lipid composition of cells varies widely across organelles and between individual membrane leaflets. Transport proteins are thought to generate this heterogeneity, but measuring their functions in vivo has been hampered by limited tools for imaging lipids at relevant spatial resolutions. Here we present fluorogen-activating coincidence encounter sensing (FACES), a chemogenetic tool capable of quantitatively imaging subcellular lipid pools and reporting their transbilayer orientation in living cells. FACES combines bioorthogonal chemistry with genetically encoded fluorogen-activating proteins (FAPs) for reversible proximity sensing of conjugated molecules. We first apply this approach to identify roles for lipid transfer proteins that traffic phosphatidylcholine pools between the ER and mitochondria. We then show that transmembrane domain-containing FAPs can reveal the membrane asymmetry of multiple lipid classes in the trans-Golgi network and be used to investigate the mechanisms that generate it. Lastly, we demonstrate FACES can be applied to measure other molecule classes, like sugars.

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