Evidence map›Paper›PMID 37861079›Full record

ArticlePlant & cell physiology2023

In-Depth Quantification of Cell Division and Elongation Dynamics at the Tip of Growing Arabidopsis Roots Using 4D Microscopy, AI-Assisted Image Processing and Data Sonification.

Tatsuaki Goh, Yu Song, Takaaki Yonekura, Noriyasu Obushi, Zeping Den, Katsutoshi Imizu, Yoko Tomizawa, Yohei Kondo, Shunsuke Miyashima, Yutaro Iwamoto and 3 more

Open access · hybridAbstract read
In one paragraph

Article in Plant & cell physiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
9.9field-weighted citation impact, top 2% of its field
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. A balance of metabolism and diffusion articulates a gibberellin hormone gradient in theProceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Cell lineage tracing: Methods, applications, and challenges.Quantitative biology (Beijing, China) · 2025
    Review
  8. Biregionally differentiated growth generates sharp apex and concave joints in leaves.The Plant journal : for cell and molecular biology · 2025
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
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

13 authors at 4 institutions in 1 country.

Yu SongCollege of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, 525-8577 Japan.ORCID 0000-0002-4660-5430
Takaaki YonekuraGraduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, 630-0192 Japan.ORCID 0000-0001-5428-8212
Noriyasu ObushiResearch Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Tokyo, 153-8904 Japan.ORCID 0000-0001-6157-089X
Zeping DenCollege of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, 525-8577 Japan.
Katsutoshi ImizuGraduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, 630-0192 Japan.
Yoko TomizawaThe Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, 5-1 Higashiyama, Myodaiji, Okazaki, Aichi, 444-8787 Japan.ORCID 0000-0003-1730-7300
Yohei KondoThe Exploratory Research Center on Life and Living Systems, National Institutes of Natural Sciences, 5-1 Higashiyama, Myodaiji, Okazaki, Aichi, 444-8787 Japan.ORCID 0000-0002-2801-4522
Shunsuke MiyashimaGraduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, 630-0192 Japan.ORCID 0000-0001-8267-3978
Yutaro IwamotoCollege of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, 525-8577 Japan.ORCID 0000-0001-6723-8652
Masahiko InamiResearch Center for Advanced Science and Technology, The University of Tokyo, 4-6-1 Komaba, Tokyo, 153-8904 Japan.ORCID 0000-0002-8652-0730
Yen-Wei ChenCollege of Information Science and Engineering, Ritsumeikan University, 1-1-1 Noji-higashi, Kusatsu, Shiga, 525-8577 Japan.ORCID 0000-0002-5952-0188
Keiji NakajimaGraduate School of Science and Technology, Nara Institute of Science and Technology, 8916-5 Takayama, Ikoma, Nara, 630-0192 Japan.ORCID 0000-0002-1580-3354
Nara Institute of Science and Technology · JPRitsumeikan University · JPThe University of Tokyo · JPNational Institutes of Natural Sciences · JP

Funding

Ministry of Education, Culture, Sports, Science and Technology 19H05670 19H05671 20H05428 22H04712 22H04736Precursory Research for Embryonic Science and Technology JPMJPR2144
6 · The paper itself

Abstract

One of the fundamental questions in plant developmental biology is how cell proliferation and cell expansion coordinately determine organ growth and morphology. An amenable system to address this question is the Arabidopsis root tip, where cell proliferation and elongation occur in spatially separated domains, and cell morphologies can easily be observed using a confocal microscope. While past studies revealed numerous elements of root growth regulation including gene regulatory networks, hormone transport and signaling, cell mechanics and environmental perception, how cells divide and elongate under possible constraints from cell lineages and neighboring cell files has not been analyzed quantitatively. This is mainly due to the technical difficulties in capturing cell division and elongation dynamics at the tip of growing roots, as well as an extremely labor-intensive task of tracing the lineages of frequently dividing cells. Here, we developed a motion-tracking confocal microscope and an Artificial Intelligence (AI)-assisted image-processing pipeline that enables semi-automated quantification of cell division and elongation dynamics at the tip of vertically growing Arabidopsis roots. We also implemented a data sonification tool that facilitates human recognition of cell division synchrony. Using these tools, we revealed previously unnoted lineage-constrained dynamics of cell division and elongation, and their contribution to the root zonation boundaries.

Indexed as

ArabidopsisArtificial IntelligenceCell DivisionHumansMeristemMicroscopyPlant RootsCell divisionCell elongationDeep learningRoot zonationSonificationTime-lapse imaging

Identifiers

PMID37861079
PMCPMC10700013
OpenAlexW4387798788

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.