Evidence map›Paper›PMID 33970126›Full record

ArticleJournal of visualized experiments : JoVE2021

Analysis of Motility Patterns of Stentor During and After Oral Apparatus Regeneration Using Cell Tracking.

Janet Y Sheung, Megan Otsuka, Gabriella Seifert, Athena Lin, Wallace F Marshall

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Characterization of cellular wound resistance in the giant ciliatebioRxiv : the preprint server for biology · 2025
    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

5 authors.

Janet Y SheungW. M. Keck Science Department, Scripps, Pitzer, and Claremont McKenna of The Claremont Colleges; JSheung@kecksci.claremont.edu.
Megan OtsukaW. M. Keck Science Department, Pitzer College.
Gabriella SeifertW. M. Keck Science Department, Scripps College.
Athena LinDepartment of Biochemistry and Biophysics, School of Medicine, University of California at San Francisco.
Wallace F MarshallDepartment of Biochemistry and Biophysics, School of Medicine, University of California at San Francisco.

Funding

Origins of Cell GeometryR35GM130327 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Wallace Marshall · 2019 to 2026
$5.3M
NIGMS NIH HHS R35 GM130327
6 · The paper itself

Abstract

Stentor coeruleus is a well-known model organism for the study of unicellular regeneration. Transcriptomic analysis of individual cells revealed hundreds of genes-many not associated with the oral apparatus (OA)-that are differentially regulated in phases throughout the regeneration process. It was hypothesized that this systemic reorganization and mobilization of cellular resources towards growth of a new OA will lead to observable changes in movement and behavior corresponding in time to the phases of differential gene expression. However, the morphological complexity of S. coeruleus necessitated the development of an assay to capture the statistics and timescale. A custom script was used to track cells in short videos, and statistics were compiled over a large population (N ~100). Upon loss of the OA, S. coeruleus initially loses the ability for directed motion; then starting at ~4 h, it exhibits a significant drop in speed until ~8 h. This assay provides a useful tool for the screening of motility phenotypes and can be adapted for the investigation of other organisms.

Indexed as

AnimalsCell TrackingRegeneration

Identifiers

PMID33970126
PMCPMC8956271

What OpenQuestion holds

Textmetadata
LicenceTDM
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.