Evidence map›Paper›PMID 37267354›Full record

ArticleScience advances2023

Automated time-lapse data segmentation reveals in vivo cell state dynamics.

Miriam A Genuth, Yasuhiro Kojima, Dörthe Jülich, Hisanori Kiryu, Scott A Holley

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

5 authors at 2 institutions in 2 countries.

Miriam A GenuthDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, USA.ORCID 0000-0001-5272-3372
Yasuhiro KojimaDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, USA.
Dörthe JülichDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, USA.
Hisanori KiryuDepartment of Computational Biology and Medical Sciences, Graduate School of Frontier Sciences, The University of Tokyo, Kashiwa, Chiba, Japan.ORCID 0000-0003-3554-5353
Scott A HolleyDepartment of Molecular, Cellular and Developmental Biology, Yale University, New Haven, CT, USA.ORCID 0000-0001-5299-1174
Yale University · USThe University of Tokyo · JP

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
The systems developmental biology of zebrafish body elongationR35GM148348 · NIGMS · YALE UNIVERSITY · PI SCOTT A HOLLEY · 2023 to 2026
$2.6M
EMT, Tailbud Biomechanics and Spinal Column SymmetryR01GM129149 · NIGMS · YALE UNIVERSITY · PI HOLLEY, SCOTT A · 2018 to 2021
$1.3M
High Performance Computing Instrumentation for the Yale Center for Genome AnalysisS10OD030363 · OD · YALE UNIVERSITY · PI MANE, SHRIKANT M · 2022 to 2022
$1.2M
Order to Disorder Transition in Zebrafish Tailbud Cell MigrationF32GM137502 · NIGMS · YALE UNIVERSITY · PI GENUTH, MIRIAM · 2020 to 2021
$134k
NCATS NIH HHS UL1 TR001863NIGMS NIH HHS F32 GM137502NIGMS NIH HHS R01 GM129149NIGMS NIH HHS R35 GM148348NIH HHS S10 OD030363
6 · The paper itself

Abstract

Embryonic development proceeds as a series of orderly cell state transitions built upon noisy molecular processes. We defined gene expression and cell motion states using single-cell RNA sequencing data and in vivo time-lapse cell tracking data of the zebrafish tailbud. We performed a parallel identification of these states using dimensional reduction methods and a change point detection algorithm. Both types of cell states were quantitatively mapped onto embryos, and we used the cell motion states to study the dynamics of biological state transitions over time. The time average pattern of cell motion states is reproducible among embryos. However, individual embryos exhibit transient deviations from the time average forming left-right asymmetries in collective cell motion. Thus, the reproducible pattern of cell states and bilateral symmetry arise from temporal averaging. In addition, collective cell behavior can be a source of asymmetry rather than a buffer against noisy individual cell behavior.

Indexed as

ZebrafishZebrafish ProteinsAnimalsCell TrackingEmbryonic DevelopmentTime-Lapse ImagingZebrafish Proteins

Identifiers

PMID37267354
PMCPMC10413672
OpenAlexW4379184807

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.