Evidence map›Paper›PMID 39282337›Full record

ArticlebioRxiv : the preprint server for biology2024

Proximity labeling defines the phagosome lumen proteome of murine and primary human macrophages.

Benjamin L Allsup, Supriya Gharpure, Bryan D Bryson

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

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Benjamin L AllsupDepartment of Biological Engineering, MIT, Cambridge, USA.
Supriya GharpureRagon Institute of Mass General, Harvard, and MIT, Cambridge, USA.
Bryan D BrysonDepartment of Biological Engineering, MIT, Cambridge, USA.ORCID 0000-0003-1716-6712

Funding

Elucidating the mechanisms and consequences of MDSC-regulated immunity in TBR01AI164970 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI Bryan David Bryson, Joshua T. Mattila · 2022 to 2026
$2.7M
High-dimensional characterization of phagosome composition, control and phagocytic receptor redundancyR35GM142900 · NIGMS · MASSACHUSETTS GENERAL HOSPITAL · PI BRYSON, BRYAN DAVID · 2021 to 2025
$2.1M
NIAID NIH HHS R01 AI164970NIGMS NIH HHS R35 GM142900
6 · The paper itself

Abstract

Proteomic analyses of the phagosome has significantly improved our understanding of the proteins which contribute to critical phagosome functions such as apoptotic cell clearance and microbial killing. However, previous methods of isolating phagosomes for proteomic analysis have relied on cell fractionation with some intrinsic limitations. Here, we present an alternative and modular proximity-labeling based strategy for mass spectrometry proteomic analysis of the phagosome lumen, termed PhagoID. We optimize proximity labeling in the phagosome and apply PhagoID to immortalized murine macrophages as well as primary human macrophages. Analysis of proteins detected by PhagoID in murine macrophages demonstrate that PhagoID corroborates previous proteomic studies, but also nominates novel proteins with unexpected residence at the phagosome for further study. A direct comparison between the proteins detected by PhagoID between mouse and human macrophages further reveals that human macrophage phagosomes have an increased abundance of proteins involved in the oxidative burst and antigen presentation. Our study develops and benchmarks a new approach to measure the protein composition of the phagosome and validates a subset of these findings, ultimately using PhagoID to grant further insight into the core constituent proteins and species differences at the phagosome lumen.

Identifiers

PMID39282337
PMCPMC11398489

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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.