Evidence map›Paper›PMID 39229057›Full record

ArticlebioRxiv : the preprint server for biology2024

Lipid- and protein-directed photosensitizer proximity labeling captures the cholesterol interactome.

Andrew P Becker, Elijah Biletch, John Paul Kennelly, Ashley R Julio, Miranda Villaneuva, Rohith T Nagari, Daniel W Turner, Nikolas R Burton, Tomoyuki Fukuta, Liujuan Cui and 5 more

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

15 authors.

Andrew P BeckerDepartment of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, USA.ORCID 0000-0002-1654-0912
Elijah BiletchDepartment of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, USA.ORCID 0000-0002-3723-536X
John Paul KennellyDepartment of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, USA.ORCID 0000-0002-4399-3976
Ashley R JulioDepartment of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, USA.ORCID 0000-0002-6258-2849
Miranda VillaneuvaDepartment of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, USA.ORCID 0000-0002-4892-8356
Rohith T NagariDepartment of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, USA.ORCID 0000-0002-0677-3237
Daniel W TurnerDepartment of Chemistry and Biochemistry, UCLA, Los Angeles, California 90095, USA.
Nikolas R BurtonDepartment of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, USA.ORCID 0000-0003-2887-8846
Tomoyuki FukutaDepartment of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, USA.
Liujuan CuiDepartment of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, USA.ORCID 0000-0001-6186-1558
Xu XiaoDepartment of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, USA.
Soon-Gook HongMolecular Biology Institute, UCLA, Los Angeles, California 90095, USA.ORCID 0000-0002-1385-4430
Julia J MackMolecular Biology Institute, UCLA, Los Angeles, California 90095, USA.ORCID 0000-0002-9239-8436
Peter TontonozDepartment of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, USA.ORCID 0000-0003-1259-0477
Keriann M BackusDepartment of Biological Chemistry, David Geffen School of Medicine, UCLA, Los Angeles, California 90095, USA.ORCID 0000-0001-8541-1404

Funding

UCLA-Caltech Medical Scientist Training ProgramT32GM008042 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI AJIJOLA, OLUJIMI A, DAWSON, DAVID WAYNE · 1985 to 2023
$29.9M
Understanding the Influence of Lipid Homeostasis on T cell FunctionP01HL146358 · NHLBI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI YOUNG, STEPHEN G. · 2019 to 2023
$11.7M
Chemistry Biology Interface Training ProgramT32GM136614 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Patrick G. Harran · 2020 to 2026
$2.8M
A systems-level approach to decipher the protein interactome.DP2GM146246 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BACKUS, KERIANN MARIE · 2021 to 2024
$2.3M
NMR Console and Prodigy CryoProbeS10OD028644 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GARG, NEIL K · 2021 to 2021
$600k
NHLBI NIH HHS P01 HL146358NIGMS NIH HHS DP2 GM146246NIGMS NIH HHS T32 GM008042NIGMS NIH HHS T32 GM136614NIH HHS S10 OD028644
6 · The paper itself

Abstract

The physical properties of cellular membranes, including fluidity and function, are influenced by protein and lipid interactions. In situ labeling chemistries, most notably proximity-labeling interactomics are well suited to characterize these dynamic and often fleeting interactions. Established methods require distinct chemistries for proteins and lipids, which limits the scope of such studies. Here we establish a singlet-oxygen-based photocatalytic proximity labeling platform (POCA) that reports intracellular interactomes for both proteins and lipids with tight spatiotemporal resolution using cell-penetrant photosensitizer reagents. Using both physiologically relevant lipoprotein-complexed probe delivery and genetic manipulation of cellular cholesterol handling machinery, cholesterol-directed POCA captured established and unprecedented cholesterol binding proteins, including protein complexes sensitive to intracellular cholesterol levels and proteins uniquely captured by lipoprotein uptake. Protein-directed POCA accurately mapped known intracellular membrane complexes, defined sterol-dependent changes to the non-vesicular cholesterol transport protein interactome, and captured state-dependent changes in the interactome of the cholesterol transport protein Aster-B. More broadly, we find that POCA is a versatile interactomics platform that is straightforward to implement, using the readily available HaloTag system, and fulfills unmet needs in intracellular singlet oxygen-based proximity labeling proteomics. Thus, we expect widespread utility for POCA across a range of interactome applications, spanning imaging to proteomics.

Identifiers

PMID39229057
PMCPMC11370482

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LicenceCC BY-NC-ND
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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.