Evidence map›Paper›PMID 35359319›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2022

Studying Stem Cell Biology in Intact and Whole-Body Regenerating Hydra by Flow Cytometry.

Wanda Buzgariu, Jean-Pierre Aubry-Lachainaye, Brigitte Galliot

Open access · hybridAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2022. 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
2.5field-weighted citation impact, top 13% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

3 authors at 1 institution in 1 country.

Wanda BuzgariuDepartment of Genetics and Evolution, iGE3, Faculty of Sciences, University of Geneva, Geneva, Switzerland. wanda.buzgariu@unige.ch.ORCID https://orcid.org/0000-0002-8492-6470
Jean-Pierre Aubry-LachainayeFlow Cytometry Facility, Faculty of Medicine, University of Geneva, Geneva, Switzerland.
Brigitte GalliotDepartment of Genetics and Evolution, iGE3, Faculty of Sciences, University of Geneva, Geneva, Switzerland.ORCID https://orcid.org/0000-0001-7596-8284
University of Geneva · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The freshwater Hydra polyp is a versatile model to study whole-body regeneration from a developmental as well as a cellular point of view. The outstanding regenerative capacities of Hydra are based on its three populations of adult stem cells located in the central body column of the animal. There, these three populations, gastrodermal epithelial, epidermal epithelial, and interstitial, continuously cycle in homeostatic conditions, and their activity is locally regulated after mid-gastric bisection. Moreover, they present an unusual cycling behavior with a short G1 phase and a pausing in G2. This particular cell cycle has been studied for a long time with classical microscopic methods. We describe here two flow cytometry methods that provide accurate and reproducible quantitative data to monitor cell cycle regulation in homeostatic and regenerative contexts. We also present a cell sorting procedure based on flow cytometry, whereby stem cells expressing a fluorescent reporter protein in transgenic lines can be enriched for use in applications such as transcriptomic, proteomic, or cell cycle analysis.

Indexed as

HydraAnimalsCell CycleFlow CytometryProteomicsStem CellsAdult stem cellsCell cycleCell cycle analysisClick-iT EdU labeling of regenerating animalsEpithelial stem cellsFlow cytometryGFP cell sortingHydraInterstitial stem cells

Identifiers

PMID35359319
PMCPMC9761490
OpenAlexW4226029072

What OpenQuestion holds

Textmetadata
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.