Extracellular proximal interaction profiling by cell surface–targeted TurboID reveals LDLR as a partner of liganded EGFR

Plasma membrane proteins play pivotal roles in receiving and transducing signals from other cells and from the environment and are vital for cellular functionality. Enzyme-based, proximity-dependent approaches, such as biotin identification (BioID), combined with mass spectrometry have begun to illuminate the landscape of proximal protein interactions within intracellular compartments. To extend the potential of these approaches to study the extracellular environment, we developed extracellular TurboID (ecTurboID), a method designed to profile the interactions between proteins on the surfaces of living cells over short timescales using the fast-acting biotin ligase TurboID. After optimizing our experimental and data analysis strategies to capture extracellular proximity interactions, we used ecTurboID to reveal the proximal interactomes of several plasma membrane proteins, including the epidermal growth factor receptor (EGFR). We found that EGF stimulation induced an association between EGFR and the low-density lipoprotein receptor (LDLR) and changed the interactome of LDLR by increasing its proximity with proteins that regulate EGFR signaling. The identification of this interaction between two well-studied and clinically relevant receptors illustrates the utility of our modified proximity labeling methodology for identifying dynamic extracellular associations between plasma membrane proteins.

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Publication Details

Journal
Science Signaling
Published
2024-11-05
DOI
https://doi.org/10.1126/scisignal.adl6164
Citations
11
Primary Topic
Biotin and Related Studies
Type
article
Field-Weighted Citation Impact
3.59
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article

Extracellular proximal interaction profiling by cell surface–targeted TurboID reveals LDLR as a partner of liganded EGFR

Payman Samavarchi‐Tehrani, Rasha Al Mismar, Brendon Seale, Claire E. Martin et al.
11 citations
Science Signaling
Biotin and Related Studies
3.59
article

Extracellular proximal interaction profiling by cell surface–targeted TurboID reveals LDLR as a partner of liganded EGFR

Payman Samavarchi‐Tehrani, Rasha Al Mismar, Brendon Seale, Claire E. Martin, Vesal Kasmaeifar, Anne‐Claude Gingras
article en
11 citations

Abstract

Plasma membrane proteins play pivotal roles in receiving and transducing signals from other cells and from the environment and are vital for cellular functionality. Enzyme-based, proximity-dependent approaches, such as biotin identification (BioID), combined with mass spectrometry have begun to illuminate the landscape of proximal protein interactions within intracellular compartments. To extend the potential of these approaches to study the extracellular environment, we developed extracellular TurboID (ecTurboID), a method designed to profile the interactions between proteins on the surfaces of living cells over short timescales using the fast-acting biotin ligase TurboID. After optimizing our experimental and data analysis strategies to capture extracellular proximity interactions, we used ecTurboID to reveal the proximal interactomes of several plasma membrane proteins, including the epidermal growth factor receptor (EGFR). We found that EGF stimulation induced an association between EGFR and the low-density lipoprotein receptor (LDLR) and changed the interactome of LDLR by increasing its proximity with proteins that regulate EGFR signaling. The identification of this interaction between two well-studied and clinically relevant receptors illustrates the utility of our modified proximity labeling methodology for identifying dynamic extracellular associations between plasma membrane proteins.

Science SignalingVol. 17(861)
University of Toronto (CA), Lunenfeld-Tanenbaum Research Institute (CA)
Life in Land
Openalex Percentile: Top 7%
Biotin and Related Studies
3.59
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Extracellular proximal interaction profiling by cell surface–targeted TurboID reveals LDLR as a partner of liganded EGFR — Payman Samavarchi‐Tehrani, Rasha Al Mismar, et al. · Science Signaling (2024) | TGRS Research Map | TGRS