Prepatterning in the Stem Cell Compartment
Publication Date
May 28, 2010
Journal
PLOS ONE
Authors
Peter D. Tonge, Victor Olariu, Daniel Coca, Visakan Kadirkamanathan, et al
Volume
5
Issue
5
Pages
e10901
DOI
https://dx.plos.org/10.1371/journal.pone.0010901
Publisher URL
http://journals.plos.org/plosone/article?id=10.1371%2Fjournal.pone.0010901
PubMed
http://www.ncbi.nlm.nih.gov/pubmed/20531938
PubMed Central
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2878343
Europe PMC
http://europepmc.org/abstract/MED/20531938
Web of Science
000278222100030
Scopus
77956527493
Mendeley
http://www.mendeley.com/research/prepatterning-stem-cell-compartment-1
Events
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Mendeley | Further Information

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Scopus | Further Information

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  • {"files"=>["https://ndownloader.figshare.com/files/421603", "https://ndownloader.figshare.com/files/421631", "https://ndownloader.figshare.com/files/421669", "https://ndownloader.figshare.com/files/421700", "https://ndownloader.figshare.com/files/421731"], "description"=>"<div><p>The mechanism by which an apparently uniform population of cells can generate a heterogeneous population of differentiated derivatives is a fundamental aspect of pluripotent and multipotent stem cell behaviour. One possibility is that the environment and the differentiation cues to which the cells are exposed are not uniform. An alternative, but not mutually exclusive possibility is that the observed heterogeneity arises from the stem cells themselves through the existence of different interconvertible substates that pre-exist before the cells commit to differentiate. We have tested this hypothesis in the case of apparently homogeneous pluripotent human embryonal carcinoma (EC) stem cells, which do not follow a uniform pattern of differentiation when exposed to retinoic acid. Instead, they produce differentiated progeny that include both neuronal and non-neural phenotypes. Our results suggest that pluripotent NTERA2 stem cells oscillate between functionally distinct substates that are primed to select distinct lineages when differentiation is induced.</p></div>", "links"=>[], "tags"=>["prepatterning", "compartment"], "article_id"=>143264, "categories"=>["Cell Biology", "Developmental Biology"], "users"=>["Peter D. Tonge", "Victor Olariu", "Daniel Coca", "Visakan Kadirkamanathan", "Kelly E. Burrell", "Stephen A. Billings", "Peter W. Andrews"], "doi"=>["https://dx.doi.org/10.1371/journal.pone.0010901.s001", "https://dx.doi.org/10.1371/journal.pone.0010901.s002", "https://dx.doi.org/10.1371/journal.pone.0010901.s003", "https://dx.doi.org/10.1371/journal.pone.0010901.s004", "https://dx.doi.org/10.1371/journal.pone.0010901.s005"], "stats"=>{"downloads"=>19, "page_views"=>12, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/Prepatterning_in_the_Stem_Cell_Compartment/143264", "title"=>"Prepatterning in the Stem Cell Compartment", "pos_in_sequence"=>0, "defined_type"=>4, "published_date"=>"2010-05-28 00:54:24"}
  • {"files"=>["https://ndownloader.figshare.com/files/847881"], "description"=>"<p><i>KL</i> divergences and overall cost function <i>I</i> between density functions estimated from biological and model generated data.</p>", "links"=>[], "tags"=>["divergences", "generated"], "article_id"=>518336, "categories"=>["Cell Biology", "Developmental Biology"], "users"=>["Peter D. Tonge", "Victor Olariu", "Daniel Coca", "Visakan Kadirkamanathan", "Kelly E. Burrell", "Stephen A. Billings", "Peter W. Andrews"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0010901.t001", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Kullback_Leibler_Divergences_Between_Biological_and_Model_Generated_Data_Sets_/518336", "title"=>"Kullback-Leibler Divergences Between Biological and Model Generated Data Sets.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-05-28 02:18:56"}
  • {"files"=>["https://ndownloader.figshare.com/files/847420"], "description"=>"<p>(A) Flow cytometric analysis of undifferentiated stem cell markers in the clonal NTERA2.Tom cell line. Black line depicts P3X negative control and green depicts antigen specific expression (OCT4, SOX2, NANOG and SSEA4). (B) Graph depicting the percentage of TUJ1 positive neurons within differentiated colonies derived from individual RA treated NTERA2.Tom stem cells. (C) Images of differentiated NTERA2.Tom colonies derived from individual NTERA2.Tom cells on a background of wildtype NTERA2 cells. Cell were exposed to RA for 21 days (Green - βIII tubulin, Blue - Hoechst) White arrows depict βIII tubulin positive NTERA2.Tom neurons. Scale bar represents 50 µM.</p>", "links"=>[], "tags"=>["characteristics"], "article_id"=>517877, "categories"=>["Cell Biology", "Developmental Biology"], "users"=>["Peter D. Tonge", "Victor Olariu", "Daniel Coca", "Visakan Kadirkamanathan", "Kelly E. Burrell", "Stephen A. Billings", "Peter W. Andrews"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0010901.g001", "stats"=>{"downloads"=>0, "page_views"=>1, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Differentiation_Characteristics_of_Individual_Stem_Cells_/517877", "title"=>"Differentiation Characteristics of Individual Stem Cells.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-05-28 02:11:17"}
  • {"files"=>["https://ndownloader.figshare.com/files/847515"], "description"=>"<p>(A) Analysis of neuronal yield within differentiated colonies derived from individual RA treated NTERA2.Tom stem cells. NTERA2.Tom cells were plated on a background of wildtype NTERA2 cells and exposed to RA at varying time points after cell plating (O, 24, 48 and 72 hours). >100 colonies were analysed for each time point. Data is derived from a single experiment and representative of three independent experiments. (B) Neuronal yield of RA treated NTERA2 cells on a population basis. Cells were exposed to RA at either 0, 24 or 48 hours after cell plating. Percentage of neurons calculated after 21 days RA exposure.</p>", "links"=>[], "tags"=>["initiation", "differentiation", "alters", "phenotype", "derived", "differentiated"], "article_id"=>517968, "categories"=>["Cell Biology", "Developmental Biology"], "users"=>["Peter D. Tonge", "Victor Olariu", "Daniel Coca", "Visakan Kadirkamanathan", "Kelly E. Burrell", "Stephen A. Billings", "Peter W. Andrews"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0010901.g002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Delayed_Initiation_of_Differentiation_Alters_Phenotype_of_Single_Cell_Derived_Differentiated_Colonies_/517968", "title"=>"Delayed Initiation of Differentiation Alters Phenotype of Single Cell Derived Differentiated Colonies.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-05-28 02:12:48"}
  • {"files"=>["https://ndownloader.figshare.com/files/847723"], "description"=>"<p>(A) The first column illustrates the frequency distribution of colonies with regards to percentage of neurons obtained from biological data. The second and third columns show the frequency distribution of colonies predicted by models <i>M</i><sub>1</sub> and <i>M</i><sub>2</sub> respectively. Data is representative of when RA is added at either 0, 24 or 48 hours post cell plating. (B) The first column illustrates the frequency distribution of colonies with regards to percentage of neurons obtained from biological data. The second and third columns show the frequency distribution of colonies predicted by model <i>M</i><sub>1</sub> and model <i>M</i><sub>2</sub> respectively. The model data is obtained from merged results for the cases where RA was added at 0 and 24 hours, 24 and 48 hours, or 48 and 72 hours.</p>", "links"=>[], "tags"=>["cell biology", "developmental biology", "cell biology/developmental molecular mechanisms", "developmental biology/cell differentiation", "developmental biology/stem cells"], "article_id"=>518173, "categories"=>["Cell Biology", "Developmental Biology"], "users"=>["Peter D. Tonge", "Victor Olariu", "Daniel Coca", "Visakan Kadirkamanathan", "Kelly E. Burrell", "Stephen A. Billings", "Peter W. Andrews"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0010901.g004", "stats"=>{"downloads"=>0, "page_views"=>3, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Correlation_of_Biological_and_Model_Data_/518173", "title"=>"Correlation of Biological and Model Data.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-05-28 02:16:13"}
  • {"files"=>["https://ndownloader.figshare.com/files/847655"], "description"=>"<p>(<b>A</b>) Model M<sub>1</sub> schematic describing the committed scenario where NTERA2 cells make the neural/non-neural lineage choice upon induction to differentiate. Grey arrow denotes a choice between two theoretical substates. En = undifferentiated stem cell with a selected neural fate, Ed = undifferentiated stem cell with a selected non-neuronal fate, Tn = neuronal progenitors, D = non-neuronal progenitors and non-neuronal differentiated cells, N = neuron, p<sub>100</sub> = probability to choose neuronal fate, p<sub>0</sub> = probability to choose non-neuronal fate, p<sub>Tn</sub> = probability of neuronal progenitors to proliferate, p<sub>N</sub> = probability to differentiate into neurons. (<b>B</b>) Model M<sub>2</sub> schematic describing the uncommitted scenario when RA was added at time of cell plating. E = undifferentiated stem cell with unselected fate, N = neuron, D = non-neuron, Tu = uncommitted progenitor with unselected fate, p<sub>nu</sub> = probability to differentiate into neurons, p<sub>u</sub> = probability of progenitor Tu to proliferate., p<sub>du</sub> = probability to differentiate into non-neurons.</p>", "links"=>[], "tags"=>["lineage"], "article_id"=>518108, "categories"=>["Cell Biology", "Developmental Biology"], "users"=>["Peter D. Tonge", "Victor Olariu", "Daniel Coca", "Visakan Kadirkamanathan", "Kelly E. Burrell", "Stephen A. Billings", "Peter W. Andrews"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0010901.g003", "stats"=>{"downloads"=>2, "page_views"=>5, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Models_of_Lineage_Selection_During_Cell_Differentiation_/518108", "title"=>"Models of Lineage Selection During Cell Differentiation.", "pos_in_sequence"=>0, "defined_type"=>1, "published_date"=>"2010-05-28 02:15:08"}
  • {"files"=>["https://ndownloader.figshare.com/files/847839"], "description"=>"<p><i>KL</i> divergences and overall cost function <i>I</i> between density functions estimated from biological data and a mixture of model simulated data.</p>", "links"=>[], "tags"=>["divergences", "merged", "generated"], "article_id"=>518290, "categories"=>["Cell Biology", "Developmental Biology"], "users"=>["Peter D. Tonge", "Victor Olariu", "Daniel Coca", "Visakan Kadirkamanathan", "Kelly E. Burrell", "Stephen A. Billings", "Peter W. Andrews"], "doi"=>"https://dx.doi.org/10.1371/journal.pone.0010901.t002", "stats"=>{"downloads"=>0, "page_views"=>0, "likes"=>0}, "figshare_url"=>"https://figshare.com/articles/_Kullback_Leibler_Divergences_Between_Biological_and_Merged_Model_Generated_Data_Sets_/518290", "title"=>"Kullback-Leibler Divergences Between Biological and Merged Model Generated Data Sets.", "pos_in_sequence"=>0, "defined_type"=>3, "published_date"=>"2010-05-28 02:18:10"}

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