Evidence map›Paper›PMID 37961561›Full record

ArticlebioRxiv : the preprint server for biology2023

Multi-scale photocatalytic proximity labeling reveals cell surface neighbors on and between cells.

Zhi Lin, Kaitlin Schaefer, Irene Lui, Zi Yao, Andrea Fossati, Danielle L Swaney, Ajikarunia Palar, Andrej Sali, James A Wells

Open access · greenAbstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed, 15 citations in OpenAlex.

  1. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Kaitlin Schaefer
Irene Lui
Danielle L SwaneyORCID 0000-0001-6119-6084
Ajikarunia Palar
University of California, San Francisco · USGladstone Institutes · US

Funding

TR&D Project 4. The Imaging Stage: Multiscale Spatiotemporal Modeling of Macromolecular Systems in Cellular NeighborhoodsP41GM109824 · NIGMS · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2014 to 2023
$18.8M
Surfaceomic technologies and antibodies to probe cell surface proteomes and their interactomes at unprecedented small scale and high-resolutionR35GM122451 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JAMES A WELLS · 2017 to 2026
$5.3M
Molecular Biophysics Training GrantT32GM149436 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Aashish Manglik · 2023 to 2026
$1.6M
NIGMS NIH HHS P41 GM109824NIGMS NIH HHS R35 GM122451NIGMS NIH HHS T32 GM149436
6 · The paper itself

Abstract

The cell membrane proteome is the primary biohub for cell communication, yet we are only beginning to understand the dynamic protein neighborhoods that form on the cell surface and between cells. Proximity labeling proteomics (PLP) strategies using chemically reactive probes are powerful approaches to yield snapshots of protein neighborhoods but are currently limited to one single resolution based on the probe labeling radius. Here, we describe a multi-scale PLP method with tunable resolution using a commercially available histological dye, Eosin Y, which upon visible light illumination, activates three different photo-probes with labeling radii ranging from ∼100 to 3000 Å. We applied this platform to profile neighborhoods of the oncogenic epidermal growth factor receptor (EGFR) and orthogonally validated >20 neighbors using immuno-assays and AlphaFold-Multimer prediction that generated plausible binary interaction models. We further profiled the protein neighborhoods of cell-cell synapses induced by bi-specific T-cell engagers (BiTEs) and chimeric antigen receptor (CAR)T cells at longer length scales. This integrated multi-scale PLP platform maps local and distal protein networks on cell surfaces and between cells. We believe this information will aid in the systematic construction of the cell surface interactome and reveal new opportunities for immunotherapeutics.

Identifiers

PMID37961561
PMCPMC10634877
OpenAlexW4388157938

What Socratic holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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 Socratic graph.