Evidence map›Paper›PMID 24349016›Full record

ArticlePloS one2013

Automated identification and location analysis of marked stem cells colonies in optical microscopy images.

Vincenzo Paduano, Daniela Tagliaferri, Geppino Falco, Michele Ceccarelli

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2013. 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
0.4field-weighted citation impact, top 20% 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, 13 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

4 authors at 2 institutions in 1 country.

Vincenzo PaduanoBioinformatics Lab, Genetic Research Institute "G. Salvatore" (IRGS) c/o BioGeM s.c.a r.l., Ariano Irpino, Avellino, Italy ; Department of Science and Technologies, University of Sannio, via Port'Arsa, Benevento, Benevento, Italy.
Daniela TagliaferriStem Cell Research Lab, Genetic Research Institute "G. Salvatore" (IRGS) c/o BioGeM s.c.a r.l., c.da Camporeale, Ariano Irpino, Avellino, Italy.
Geppino FalcoStem Cell Research Lab, Genetic Research Institute "G. Salvatore" (IRGS) c/o BioGeM s.c.a r.l., c.da Camporeale, Ariano Irpino, Avellino, Italy ; Department of Science and Technologies, University of Sannio, via Port'Arsa, Benevento, Benevento, Italy.
Michele CeccarelliBioinformatics Lab, Genetic Research Institute "G. Salvatore" (IRGS) c/o BioGeM s.c.a r.l., Ariano Irpino, Avellino, Italy ; Department of Science and Technologies, University of Sannio, via Port'Arsa, Benevento, Benevento, Italy.
Biogem · ITUniversity of Sannio · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Embryonic stem cells (ESCs) are characterized by two remarkable peculiarities: the capacity to propagate as undifferentiated cells (self-renewal) and the ability to differentiate in ectoderm, endoderm, and mesoderm derivatives (pluripotency). Although the majority of ESCs divide without losing the pluripotency, it has become evident that ESC cultures consists of multiple cell populations highlighted by the expression of early germ lineage markers during spontaneous differentiation. Hence, the identification and characterization of ESCs subpopulations represents an efficient approach to improve the comprehension of correlation between gene expression and cell specification status. To study markers of ESCs heterogeneity, we developed an analysis pipeline which can automatically process images of stem cell colonies in optical microscopy. The question we try to address is to find out the statistically significant preferred locations of the marked cells. We tested our algorithm on a set of images of stem cell colonies to analyze the expression pattern of the Zscan4 gene, which was an elite candidate gene to be studied because it is specifically expressed in subpopulation of ESCs. To validate the proposed method we analyzed the behavior of control genes whose pattern had been associated to biological status such as differentiation (EndoA), pluripotency (Pou5f1), and pluripotency fluctuation (Nanog). We found that Zscan4 is not uniformly expressed inside a stem cell colony, and that it tends to be expressed towards the center of the colony, moreover cells expressing Zscan4 cluster each other. This is of significant importance because it allows us to hypothesize a biological status where the cells expressing Zscan4 are preferably associated to the inner of colonies suggesting pluripotent cell status features, and the clustering between themselves suggests either a colony paracrine effect or an early phase of cell specification through proliferation. Also, the analysis on the control genes showed that they behave as expected.

Indexed as

Models, TheoreticalAlgorithmsAnimalsCell LineEmbryonic Stem CellsGene Expression Regulation, DevelopmentalMicroscopy

Identifiers

PMID24349016
PMCPMC3857180
OpenAlexW2040343062

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.