Evidence map›Paper›PMID 33664097›Full record

ArticleBiology open2021

Integrated analysis of cell shape and movement in moving frame.

Yusri Dwi Heryanto, Chin-Yi Cheng, Yutaka Uchida, Kazushi Mimura, Masaru Ishii, Ryo Yamada

Abstract read
In one paragraph

Article in Biology open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Methods and Measures for Investigating Microscale Motility.Integrative and comparative biology · 2023
    Review
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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.

Yusri Dwi HeryantoUnit of Statistical Genetics, Center for Genomic Medicine, Graduate School of Medicine Kyoto University, Kyoto, 606-8507, Japan yusri.dh@gmail.com yamada.ryo.5u@kyoto-u.ac.jp.ORCID 0000-0002-8080-6148
Chin-Yi ChengUnit of Statistical Genetics, Center for Genomic Medicine, Graduate School of Medicine Kyoto University, Kyoto, 606-8507, Japan.ORCID 0000-0001-8418-2259
Yutaka UchidaDepartment of Immunology and Cell Biology, Graduate School of Medicine and Frontier Biosciences, Osaka University, Osaka, 565-0871, Japan.ORCID 0000-0003-4899-2128
Kazushi MimuraDepartment of Intelligent Systems, Graduate School of Information Sciences, Hiroshima City University, Hiroshima, 731-3194 Japan.ORCID 0000-0002-0763-4925
Masaru IshiiDepartment of Immunology and Cell Biology, Graduate School of Medicine and Frontier Biosciences, Osaka University, Osaka, 565-0871, Japan.ORCID 0000-0002-4215-007X
Ryo YamadaUnit of Statistical Genetics, Center for Genomic Medicine, Graduate School of Medicine Kyoto University, Kyoto, 606-8507, Japan.ORCID 0000-0002-1587-630X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The cell's movement and morphological change are two interrelated cellular processes. An integrated analysis is needed to explore the relationship between them. However, it has been challenging to investigate them as a whole. The cell's trajectory can be described by its speed, curvature, and torsion. On the other hand, the three-dimensional (3D) cell shape can be studied by using a shape descriptor such as spherical harmonic (SH) descriptor, which is an extension of a Fourier transform in 3D space. We propose a novel method using parallel-transport (PT) to integrate these shape-movement data by using moving frames as the 3D-shape coordinate system. This moving frame is purely determined by the velocity vector. On this moving frame, the movement change will influence the coordinate system for shape analysis. By analyzing the change of the SH coefficients over time in the moving frame, we can observe the relationship between shape and movement. We illustrate the application of our approach using simulated and real datasets in this paper.

Indexed as

Cell MovementCell Physiological PhenomenaCell ShapeModels, BiologicalAlgorithmsComputer SimulationCell movementCell shapeIntegrated analysisMoving frameSpherical harmonics

Identifiers

PMID33664097
PMCPMC8015248

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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.