Evidence map›Paper›PMID 41360394›Full record

ArticleJournal of the American Chemical Society2025

Multiplexed Analysis of Multicomponent Biomolecular Condensates without Any Tag.

Gyula Pálfy, Johannes Schmoll, Maria E Pérez, Fred F Damberger, Yaning Han, Leonidas Emmanouilidis, Frédéric H-T Allain, Mihajlo Novakovic

Abstract read
In one paragraph

Article in Journal of the American Chemical Society, 2025. 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

8 authors.

Gyula PálfyDepartment of Biology, Institute of Biochemistry, ETH Zurich, 8093 Zurich, Switzerland.ORCID 0000-0003-1590-5331
Johannes SchmollDepartment of Biology, Institute of Biochemistry, ETH Zurich, 8093 Zurich, Switzerland.
Maria E PérezDepartment of Biology, Institute of Biochemistry, ETH Zurich, 8093 Zurich, Switzerland.
Fred F DambergerDepartment of Biology, Institute of Biochemistry, ETH Zurich, 8093 Zurich, Switzerland.ORCID 0000-0002-8457-3409
Yaning HanDepartment of Biology, Institute of Biochemistry, ETH Zurich, 8093 Zurich, Switzerland.
Leonidas EmmanouilidisDepartment of Biology, Institute of Biochemistry, ETH Zurich, 8093 Zurich, Switzerland.
Frédéric H-T AllainDepartment of Biology, Institute of Biochemistry, ETH Zurich, 8093 Zurich, Switzerland.
Mihajlo NovakovicDepartment of Biology, Institute of Biochemistry, ETH Zurich, 8093 Zurich, Switzerland.ORCID 0009-0007-2568-6044

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomolecular condensates, formed in the process of liquid-liquid phase separation (LLPS), play key roles in RNA metabolism and cellular organization. These dynamic assemblies often contain several components, such as proteins and RNAs. Experimental methods to study biological condensates commonly involve fluorophore-labeling of various droplet components, which may affect phase separation behavior and are thus not able to probe biomolecules in their chemically native state. Here, we introduce a noninvasive, multiplexed NMR approach that enables selective observation of multiple components in hydrogel-stabilized biphasic condensates without using tags. The introduced multiplexing filter combines enhanced spin-spin cross-relaxation in the condensed phase with diffusion and isotope filters to resolve signals from distinct protein pools from both the dilute and condensed phases. We demonstrate the robust performance of this 1D

Indexed as

Biomolecular CondensatesRNA-Binding Protein FUSNuclear Magnetic Resonance, BiomolecularRNA-Binding Protein FUS

Identifiers

PMID41360394
PMCPMC12752461

What OpenQuestion holds

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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.