Evidence map›Paper›PMID 42674058›Full record

ArticleAnalytical chemistry2026

Silica-Embedded Proteins Enable Higher Yield and Atomic Ion Detection in Deep-UV Laser-Assisted Atom Probe Tomography.

Gustav Eriksson, David Mayweg, Giovanni Novi Inverardi, Francesco Carnovale, Mats Hulander, Mattias Thuvander, Lorenzo Petrolli, Gianluca Lattanzi, Simone Taioli, Martin Andersson

Abstract read
In one paragraph

Article in Analytical chemistry, 2026. 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

10 authors.

Gustav ErikssonChalmers University of Technology , Department of Chemistry and Chemical Engineering, Kemigården 4, 41296Gothenburg, Sweden.ORCID 0009-0001-2330-6227
David MaywegChalmers University of Technology, Department of Physics and Astronomy, Kemigården 1, 41296Gothenburg, Sweden.
Giovanni Novi InverardiUniversity of Trento , Department of Physics, Via Sommarive 14, 38123Trento, Italy.
Francesco CarnovaleUniversity of Trento , Department of Physics, Via Sommarive 14, 38123Trento, Italy.
Mats HulanderChalmers University of Technology , Department of Chemistry and Chemical Engineering, Kemigården 4, 41296Gothenburg, Sweden.ORCID 0000-0003-2921-5438
Mattias ThuvanderChalmers University of Technology, Department of Physics and Astronomy, Kemigården 1, 41296Gothenburg, Sweden.ORCID 0000-0002-6097-6895
Lorenzo PetrolliUniversity of Trento , Department of Physics, Via Sommarive 14, 38123Trento, Italy.
Gianluca LattanziUniversity of Trento , Department of Physics, Via Sommarive 14, 38123Trento, Italy.ORCID 0000-0002-0808-6457
Simone TaioliEuropean Centre for Theoretical Studies in Nuclear Physics and Related Areas (ECT*), Bruno Kessler Foundation (FBK), Strada delle Tabarelle 286, 38122Trento, Italy.ORCID 0000-0003-4010-8000
Martin AnderssonChalmers University of Technology , Department of Chemistry and Chemical Engineering, Kemigården 4, 41296Gothenburg, Sweden.ORCID 0000-0003-1523-4697

Funding

HORIZON EUROPE European Innovation Council 101046651MIMOSAVetenskapsr?det 2020-03568
6 · The paper itself

Abstract

Determining the 3D structure of proteins is a long-standing challenge in the life sciences and is of paramount importance for understanding fundamental biological processes and advancing pharmaceutical development. Experimental techniques such as X-ray diffraction, nuclear magnetic resonance (NMR) spectroscopy, and cryo-electron microscopy (cryo-EM) have been instrumental in determining numerous protein structures. However, these methods are not universally applicable, and new complementary approaches are still needed. Atom probe tomography (APT), a form of mass spectrometry capable of reconstructing the 3D chemical composition of materials with near-atomic resolution, has been proposed as a potential tool for the structural analysis of proteins. Although recent progress has been made, no existing methodology has yet demonstrated both high throughput and reproducibility. In this work, we apply deep-UV laser-assisted APT to study green fluorescent protein (GFP) embedded within an amorphous silica matrix. This approach enables the detection of several thousand proteins within a single measurement, representing a significant advancement toward structural analysis of proteins by APT. To assess whether the embedding procedure preserves the structural integrity of proteins, we combined experimental measurements with molecular dynamics simulations, which strongly suggest that the initial stages of silica encapsulation do not disrupt the native folding of GFP. Overall, these findings demonstrate the potential of deep-UV laser APT as a promising method for structural biology.

Indexed as

Green Fluorescent ProteinsLasersSilicon DioxideTomographyUltraviolet RaysIonsMass SpectrometryGreen Fluorescent ProteinsIonsSilicon Dioxide

Identifiers

PMID42674058
PMCPMC13523547

What OpenQuestion 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 OpenQuestion graph.