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We began analyzing https://bmccancer.biomedcentral.com/articles/10.1186/1471-2407-3-13/peer-review, but it redirected us to https://bmccancer.biomedcentral.com/articles/10.1186/1471-2407-3-13/peer-review. The analysis below is for the second page.

Title[redir]:
Genetic variability in MCF-7 sublines: evidence of rapid genomic and RNA expression profile modifications | BMC Cancer | Peer Review
Description:
Both phenotypic and cytogenetic variability have been reported for clones of breast carcinoma cell lines but have not been comprehensively studied. Despite this, cell lines such as MCF-7 cells are extensively used as model systems. In this work we documented, using CGH and RNA expression profiles, the genetic variability at the genomic and RNA expression levels of MCF-7 cells of different origins. Eight MCF-7 sublines collected from different sources were studied as well as 3 subclones isolated from one of the sublines by limit dilution. MCF-7 sublines showed important differences in copy number alteration (CNA) profiles. Overall numbers of events ranged from 28 to 41. Involved chromosomal regions varied greatly from a subline to another. A total of 62 chromosomal regions were affected by either gains or losses in the 11 sublines studied. We performed a phylogenetic analysis of CGH profiles using maximum parsimony in order to reconstruct the putative filiation of the 11 MCF-7 sublines. The phylogenetic tree obtained showed that the MCF-7 clade was characterized by a restricted set of 8 CNAs and that the most divergent subline occupied the position closest to the common ancestor. Expression profiles of 8 MCF-7 sublines were analyzed along with those of 19 unrelated breast cancer cell lines using home made cDNA arrays comprising 720 genes. Hierarchical clustering analysis of the expression data showed that 7/8 MCF-7 sublines were grouped forming a cluster while the remaining subline clustered with unrelated breast cancer cell lines. These data thus showed that MCF-7 sublines differed at both the genomic and phenotypic levels. The analysis of CGH profiles of the parent subline and its three subclones supported the heteroclonal nature of MCF-7 cells. This strongly suggested that the genetic plasticity of MCF-7 cells was related to their intrinsic capacity to generate clonal heterogeneity. We propose that MCF-7, and possibly the breast tumor it was derived from, evolved in a node like pattern, rather than according to a linear progression model. Due to their capacity to undergo rapid genetic changes MCF-7 cells could represent an interesting model for genetic evolution of breast tumors.

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authors scientific editing privacy choices/manage cookies bmc european economic area state privacy rights accepting optional cookies peer review 1471-2407 contact manage preferences article published submission enquiries author responded personal data optional cookies data protection essential cookies cookies skip cookies policy privacy policy privacy statement usage analysis social media varying standards genetic variability mcf-7 sublines rapid genomic editorially accepted 24 apr 2003 general enquiries preference centre springer nature content choices privacy published choice make site function advertising personalisation consent processing parties information change accept evidence submitted reviewed

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         headline:Genetic variability in MCF-7 sublines: evidence of rapid genomic and RNA expression profile modifications
         description:Both phenotypic and cytogenetic variability have been reported for clones of breast carcinoma cell lines but have not been comprehensively studied. Despite this, cell lines such as MCF-7 cells are extensively used as model systems. In this work we documented, using CGH and RNA expression profiles, the genetic variability at the genomic and RNA expression levels of MCF-7 cells of different origins. Eight MCF-7 sublines collected from different sources were studied as well as 3 subclones isolated from one of the sublines by limit dilution. MCF-7 sublines showed important differences in copy number alteration (CNA) profiles. Overall numbers of events ranged from 28 to 41. Involved chromosomal regions varied greatly from a subline to another. A total of 62 chromosomal regions were affected by either gains or losses in the 11 sublines studied. We performed a phylogenetic analysis of CGH profiles using maximum parsimony in order to reconstruct the putative filiation of the 11 MCF-7 sublines. The phylogenetic tree obtained showed that the MCF-7 clade was characterized by a restricted set of 8 CNAs and that the most divergent subline occupied the position closest to the common ancestor. Expression profiles of 8 MCF-7 sublines were analyzed along with those of 19 unrelated breast cancer cell lines using home made cDNA arrays comprising 720 genes. Hierarchical clustering analysis of the expression data showed that 7/8 MCF-7 sublines were grouped forming a cluster while the remaining subline clustered with unrelated breast cancer cell lines. These data thus showed that MCF-7 sublines differed at both the genomic and phenotypic levels. The analysis of CGH profiles of the parent subline and its three subclones supported the heteroclonal nature of MCF-7 cells. This strongly suggested that the genetic plasticity of MCF-7 cells was related to their intrinsic capacity to generate clonal heterogeneity. We propose that MCF-7, and possibly the breast tumor it was derived from, evolved in a node like pattern, rather than according to a linear progression model. Due to their capacity to undergo rapid genetic changes MCF-7 cells could represent an interesting model for genetic evolution of breast tumors.
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      headline:Genetic variability in MCF-7 sublines: evidence of rapid genomic and RNA expression profile modifications
      description:Both phenotypic and cytogenetic variability have been reported for clones of breast carcinoma cell lines but have not been comprehensively studied. Despite this, cell lines such as MCF-7 cells are extensively used as model systems. In this work we documented, using CGH and RNA expression profiles, the genetic variability at the genomic and RNA expression levels of MCF-7 cells of different origins. Eight MCF-7 sublines collected from different sources were studied as well as 3 subclones isolated from one of the sublines by limit dilution. MCF-7 sublines showed important differences in copy number alteration (CNA) profiles. Overall numbers of events ranged from 28 to 41. Involved chromosomal regions varied greatly from a subline to another. A total of 62 chromosomal regions were affected by either gains or losses in the 11 sublines studied. We performed a phylogenetic analysis of CGH profiles using maximum parsimony in order to reconstruct the putative filiation of the 11 MCF-7 sublines. The phylogenetic tree obtained showed that the MCF-7 clade was characterized by a restricted set of 8 CNAs and that the most divergent subline occupied the position closest to the common ancestor. Expression profiles of 8 MCF-7 sublines were analyzed along with those of 19 unrelated breast cancer cell lines using home made cDNA arrays comprising 720 genes. Hierarchical clustering analysis of the expression data showed that 7/8 MCF-7 sublines were grouped forming a cluster while the remaining subline clustered with unrelated breast cancer cell lines. These data thus showed that MCF-7 sublines differed at both the genomic and phenotypic levels. The analysis of CGH profiles of the parent subline and its three subclones supported the heteroclonal nature of MCF-7 cells. This strongly suggested that the genetic plasticity of MCF-7 cells was related to their intrinsic capacity to generate clonal heterogeneity. We propose that MCF-7, and possibly the breast tumor it was derived from, evolved in a node like pattern, rather than according to a linear progression model. Due to their capacity to undergo rapid genetic changes MCF-7 cells could represent an interesting model for genetic evolution of breast tumors.
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            name:Laboratoire TAGC, CIML, Université d'Aix-Marseille II
            address:
               name:Laboratoire TAGC, CIML, Université d'Aix-Marseille II, Marseille, France
               type:PostalAddress
            type:Organization
      name:Daniel Birnbaum
      affiliation:
            name:INSERM U119 and LBT, Institut Paoli Calmette
            address:
               name:INSERM U119 and LBT, Institut Paoli Calmette, Marseille, France
               type:PostalAddress
            type:Organization
      name:Emmanuel JP Douzery
      affiliation:
            name:Université des Sciences et Techniques du Languedoc Montpellier II
            address:
               name:Institut des Sciences de l'Evolution de Montpellier CNRS UMR 5554, Université des Sciences et Techniques du Languedoc Montpellier II, Montpellier, France
               type:PostalAddress
            type:Organization
      name:Pascale Cohen
      affiliation:
            name:UMR 5535 CNRS and EMI 0229 INSERM Centre de Recherche CRLC Val d'Aurelle
            address:
               name:Equipe Génome et Cancer, UMR 5535 CNRS and EMI 0229 INSERM Centre de Recherche CRLC Val d'Aurelle, Montpellier, France
               type:PostalAddress
            type:Organization
            name:Faculté de Pharmacie Université Montpellier I
            address:
               name:Institut de Biotechnologies et Pharmacologie CNRS UMR 5094, Faculté de Pharmacie Université Montpellier I, Montpellier, France
               type:PostalAddress
            type:Organization
      name:Charles Theillet
      affiliation:
            name:UMR 5535 CNRS and EMI 0229 INSERM Centre de Recherche CRLC Val d'Aurelle
            address:
               name:Equipe Génome et Cancer, UMR 5535 CNRS and EMI 0229 INSERM Centre de Recherche CRLC Val d'Aurelle, Montpellier, France
               type:PostalAddress
            type:Organization
      email:[email protected]
PostalAddress:
      name:Equipe Génome et Cancer, UMR 5535 CNRS and EMI 0229 INSERM Centre de Recherche CRLC Val d'Aurelle, Montpellier, France
      name:Equipe Génome et Cancer, UMR 5535 CNRS and EMI 0229 INSERM Centre de Recherche CRLC Val d'Aurelle, Montpellier, France
      name:Equipe Génome et Cancer, UMR 5535 CNRS and EMI 0229 INSERM Centre de Recherche CRLC Val d'Aurelle, Montpellier, France
      name:Equipe Génome et Cancer, UMR 5535 CNRS and EMI 0229 INSERM Centre de Recherche CRLC Val d'Aurelle, Montpellier, France
      name:Equipe Génome et Cancer, UMR 5535 CNRS and EMI 0229 INSERM Centre de Recherche CRLC Val d'Aurelle, Montpellier, France
      name:Laboratoire TAGC, CIML, Université d'Aix-Marseille II, Marseille, France
      name:INSERM U119 and LBT, Institut Paoli Calmette, Marseille, France
      name:Institut des Sciences de l'Evolution de Montpellier CNRS UMR 5554, Université des Sciences et Techniques du Languedoc Montpellier II, Montpellier, France
      name:Equipe Génome et Cancer, UMR 5535 CNRS and EMI 0229 INSERM Centre de Recherche CRLC Val d'Aurelle, Montpellier, France
      name:Institut de Biotechnologies et Pharmacologie CNRS UMR 5094, Faculté de Pharmacie Université Montpellier I, Montpellier, France
      name:Equipe Génome et Cancer, UMR 5535 CNRS and EMI 0229 INSERM Centre de Recherche CRLC Val d'Aurelle, Montpellier, France

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