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

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 p...

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Main Authors: Vincenzo Paduano, Daniela Tagliaferri, Geppino Falco, Michele Ceccarelli
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3857180?pdf=render
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spelling doaj-e09620e856364df09e9f76e96e3855392020-11-24T21:54:41ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01812e8077610.1371/journal.pone.0080776Automated identification and location analysis of marked stem cells colonies in optical microscopy images.Vincenzo PaduanoDaniela TagliaferriGeppino FalcoMichele CeccarelliEmbryonic 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.http://europepmc.org/articles/PMC3857180?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Vincenzo Paduano
Daniela Tagliaferri
Geppino Falco
Michele Ceccarelli
spellingShingle Vincenzo Paduano
Daniela Tagliaferri
Geppino Falco
Michele Ceccarelli
Automated identification and location analysis of marked stem cells colonies in optical microscopy images.
PLoS ONE
author_facet Vincenzo Paduano
Daniela Tagliaferri
Geppino Falco
Michele Ceccarelli
author_sort Vincenzo Paduano
title Automated identification and location analysis of marked stem cells colonies in optical microscopy images.
title_short Automated identification and location analysis of marked stem cells colonies in optical microscopy images.
title_full Automated identification and location analysis of marked stem cells colonies in optical microscopy images.
title_fullStr Automated identification and location analysis of marked stem cells colonies in optical microscopy images.
title_full_unstemmed Automated identification and location analysis of marked stem cells colonies in optical microscopy images.
title_sort automated identification and location analysis of marked stem cells colonies in optical microscopy images.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description 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.
url http://europepmc.org/articles/PMC3857180?pdf=render
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