Evidence map›Paper›PMID 41894490›Full record

ArticleScience advances2026

GraFT: A robust network-based spatiotemporal analysis of filamentous structures.

Isabella Østerlund, Arne Neumann, Zhiming Ma, Yansong Miao, Staffan Persson, Zoran Nikoloski

Abstract read
In one paragraph

Article in Science advances, 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

6 authors.

Isabella ØsterlundDepartment of Plant and Environmental Sciences, Copenhagen Plant Science Center, University of Copenhagen, Frederiksberg C, Denmark.ORCID 0000-0001-8574-4516
Arne NeumannBioinformatics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany.ORCID 0009-0003-3184-8864
Zhiming MaSchool of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore.ORCID 0000-0002-8610-4876
Yansong MiaoSchool of Biological Sciences, Nanyang Technological University, Singapore 637551, Singapore.ORCID 0000-0003-1551-7873
Staffan PerssonDepartment of Plant and Environmental Sciences, Copenhagen Plant Science Center, University of Copenhagen, Frederiksberg C, Denmark.ORCID 0000-0002-6377-5132
Zoran NikoloskiBioinformatics, Institute of Biochemistry and Biology, University of Potsdam, Potsdam, Germany.ORCID 0000-0003-2671-6763

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The actin cytoskeleton forms a dynamic network composed of filaments that remain flexible when bundled up, leading to complex filamentous structures in plant cells. Understanding the properties of these filamentous structures under different conditions and in different cell types can provide insight into their function. Yet, despite developments in the study of the plant actin cytoskeleton, it remains challenging to segment and identify actin filamentous structures, preventing quantification of their spatiotemporal properties. To address this problem, we devised a network-based approach termed Graph of Filaments over Time (GraFT) to trace and track filamentous structures in cytoskeleton networks extracted from two-dimensional time series imaging data. Our comparative analyses using both synthetic test cases and real-world actin cytoskeleton networks of

Indexed as

Actin CytoskeletonArabidopsisActinsHypocotylSpatio-Temporal AnalysisActins

Identifiers

PMID41894490
PMCPMC13025026

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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.