Isolation and characterisation of mammary epithelial cell subpopulations

Copyright information:Taken from "Regulator of G-protein signalling 2 mRNA is differentially expressed in mammary epithelial subpopulations and over-expressed in the majority of breast cancers"http://breast-cancer-research.com/content/9/6/R85Breast Cancer Research : BCR 2007;9(6):R85-R85.P...

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Hauptverfasser: Smalley, Matthew J, Iravani, Marjan, Leao, Maria, Grigoriadis, Anita, Kendrick, Howard, Dexter, Tim, Fenwick, Kerry, Regan, Joseph L, Britt, Kara, McDonald, Sarah, J, Christopher, Mackay, Alan, Ashworth, Alan
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creator Smalley, Matthew J
Iravani, Marjan
Leao, Maria
Grigoriadis, Anita
Kendrick, Howard
Dexter, Tim
Fenwick, Kerry
Regan, Joseph L
Britt, Kara
McDonald, Sarah
J, Christopher
Mackay, Alan
Ashworth, Alan
description Copyright information:Taken from "Regulator of G-protein signalling 2 mRNA is differentially expressed in mammary epithelial subpopulations and over-expressed in the majority of breast cancers"http://breast-cancer-research.com/content/9/6/R85Breast Cancer Research : BCR 2007;9(6):R85-R85.Published online 8 Dec 2007PMCID:PMC2246188. Flow cytometric staining profiles (dead and CD45cells excluded) of anti-Sca-1 and 33A10 stained, freshly isolated mouse mammary cell preparations together with nonspecific IgG-stained control. Graphical space representation of principal component analysis of mammary fibroblasts, Sca-133A10, Sca-133A10and Sca-133A10cells. Mean fold differences ± 95% confidence limits in RNA abundance measured by quantitative real-time PCR for estrogen receptor () and prolactin receptor () transcripts in Sca-133A10(= 5 samples) and Sca-133A10(= 3 samples) mammary subpopulations compared with bulk mammary cell preparations depleted for CD45cells (comparator; = 3 samples). The dotted lines indicate the 95% confidence limits of the comparator sample. All samples show a significant difference to the comparator (**< 0.01) [35].
doi_str_mv 10.6084/m9.figshare.72686
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Flow cytometric staining profiles (dead and CD45cells excluded) of anti-Sca-1 and 33A10 stained, freshly isolated mouse mammary cell preparations together with nonspecific IgG-stained control. Graphical space representation of principal component analysis of mammary fibroblasts, Sca-133A10, Sca-133A10and Sca-133A10cells. Mean fold differences ± 95% confidence limits in RNA abundance measured by quantitative real-time PCR for estrogen receptor () and prolactin receptor () transcripts in Sca-133A10(= 5 samples) and Sca-133A10(= 3 samples) mammary subpopulations compared with bulk mammary cell preparations depleted for CD45cells (comparator; = 3 samples). The dotted lines indicate the 95% confidence limits of the comparator sample. 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Flow cytometric staining profiles (dead and CD45cells excluded) of anti-Sca-1 and 33A10 stained, freshly isolated mouse mammary cell preparations together with nonspecific IgG-stained control. Graphical space representation of principal component analysis of mammary fibroblasts, Sca-133A10, Sca-133A10and Sca-133A10cells. Mean fold differences ± 95% confidence limits in RNA abundance measured by quantitative real-time PCR for estrogen receptor () and prolactin receptor () transcripts in Sca-133A10(= 5 samples) and Sca-133A10(= 3 samples) mammary subpopulations compared with bulk mammary cell preparations depleted for CD45cells (comparator; = 3 samples). The dotted lines indicate the 95% confidence limits of the comparator sample. 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title Isolation and characterisation of mammary epithelial cell subpopulations
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