Evidence map›Paper›PMID 37808729›Full record

ArticlebioRxiv : the preprint server for biology2024

HaloTag display enables quantitative single-particle characterization and functionalization of engineered extracellular vesicles.

Roxana E Mitrut, Devin M Stranford, Beth N DiBiase, Jonathan M Chan, Matthew D Bailey, Minrui Luo, Clare S Harper, Thomas J Meade, Muzhou Wang, Joshua N Leonard

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.

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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

10 authors.

Funding

Tumor Environment and Metastasis (TEAM) Research ProgramP30CA060553 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI LEONIDAS C. PLATANIAS · 1993 to 2026
$153.9M
Developing Capacity to Evaluate Training Programs via Development of Human, Institutional and Social CapitalT32GM008449 · NIGMS · NORTHWESTERN UNIVERSITY · PI LEONARD, JOSHUA NATHANIEL · 1993 to 2023
$7.8M
Real-Time Tracking of Gene Therapy by Bioactivated MR contrast ProbesR01NS115571 · NINDS · NORTHWESTERN UNIVERSITY · PI ESTEVES, MIGUEL S, GRAY-EDWARDS, HEATHER L · 2020 to 2024
$3.1M
Acquisition of Amersham Typhoon 5 Variable-mode ImagerS10OD026963 · OD · NORTHWESTERN UNIVERSITY · PI GRIGORESCU, ARABELA A · 2019 to 2019
$143k
NCI NIH HHS P30 CA060553NIGMS NIH HHS T32 GM008449NIH HHS S10 OD026963NINDS NIH HHS R01 NS115571
6 · The paper itself

Abstract

Extracellular vesicles (EVs) play key roles in diverse biological processes, transport biomolecules between cells, and have been engineered for therapeutic applications. A useful EV bioengineering strategy is to express engineered proteins on the EV surface to confer targeting, bioactivity, and other properties. Measuring how incorporation varies across a population of EVs is important for characterizing such materials and understanding their function, yet it remains challenging to quantitatively characterize the absolute number of engineered proteins incorporated at single-EV resolution. To address these needs, we developed a HaloTag-based characterization platform in which dyes or other synthetic species can be covalently and stoichiometrically attached to engineered proteins on the EV surface. To evaluate this system, we employed several orthogonal quantification methods, including flow cytometry and fluorescence microscopy, and found that HaloTag-mediated quantification is generally robust across EV analysis methods. We compared HaloTag-labeling to antibody-labeling of EVs using single vesicle flow cytometry, enabling us to measure the substantial degree to which antibody labeling can underestimate proteins present on an EV. Finally, we demonstrate the use of HaloTag to compare between protein designs for EV bioengineering. Overall, the HaloTag system is a useful EV characterization tool which complements and expands existing methods.

Identifiers

PMID37808729
PMCPMC10557717

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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.