Evidence map›Paper›PMID 42579157›Full record

ArticleThe Journal of membrane biology2026

Real-time Structural Tracking of Slow P-type ATPase Dynamics.

K Magkakis, F Sabzian-Molaei, F Orädd, T Plivelic, M Andersson

Abstract read
In one paragraph

Article in The Journal of membrane biology, 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
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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

5 authors.

K MagkakisDepartment of Chemistry, Umeå University, Umeå, Sweden.
F Sabzian-MolaeiDepartment of Chemistry, Umeå University, Umeå, Sweden.ORCID http://orcid.org/0000-0002-7413-1762
F OräddDepartment of Chemistry, Umeå University, Umeå, Sweden.
T PlivelicMAX IV Laboratory, Lund University, Lund, Sweden.
M AnderssonDepartment of Chemistry, Umeå University, Umeå, Sweden. magnus.p.andersson@umu.se.ORCID https://orcid.org/0000-0002-3364-6647

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Time-resolved X-ray solution scattering (TR-XSS) provides direct access to protein structural dynamics but has largely been restricted from the microsecond range up to approximately 100 milliseconds. As a result, slower enzymatic systems, including many P-type ATPases, remain difficult to probe. Here, we extend the temporal reach of TR-XSS by sequentially positioning radiation damage-free acquisition windows to enable capturing structural evolution across sub-second to second timescales. Implemented at the CoSAXS beamline at MAX IV Laboratory, this strategy enables continuous tracking of slow protein dynamics while preserving structural sensitivity. Using adenylate kinase (AdK) as a benchmark, we observed a single conformational transition accompanied by signal amplitude decay. In contrast, application to the prokaryotic P-type ATPase LMCA1 revealed clear evolution in scattering profiles, consistent with sequential conformational transitions. Kinetic analysis identified two transitions on the 140 ms and 660 ms timescales, which correspond monitoring rise and decay of a rate-limiting step which can symbolize intermediate dynamics in a slow transport cycle. The results demonstrate that extended-time TR-XSS can resolve multi-step reaction pathways in slow membrane proteins. The approach broadens the accessible timescale of TR-XSS and establishes a general framework for studying slow conformational dynamics in P-type ATPases and related systems.

Indexed as

P-type ATPasesAdenylate KinaseKineticsProtein ConformationX-Ray DiffractionAdenylate KinaseP-type ATPasesMembrane proteinP-type ATPase,Time-resolved X-ray solution scattering

Identifiers

PMID42579157
PMCPMC13461796

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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.