sum-149 cell line Search Results


sum-149 cell line  (Verlag GmbH)
90
Verlag GmbH sum-149 cell line
Sum 149 Cell Line, supplied by Verlag GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/sum-149 cell line/product/Verlag GmbH
Average 90 stars, based on 1 article reviews
sum-149 cell line - by Bioz Stars, 2026-03
90/100 stars
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cell line sum149  (CellTrans Inc)
90
CellTrans Inc cell line sum149
CellTrans model predictions and validations. (A) to (G) We used CellTrans to analyze data of the evolution of cell state proportions of publicly available data. The data are plotted by colored dots. (A) to (F) The data originate from the work by Gupta et al4 with 3 different cell states (stem, basal, and luminal) from <t>SUM149</t> and SUM159 breast cancer cell lines. The predictions of our analysis are plotted by colored curves. The color indicates the state of the cells at the beginning of the corresponding experiment. (G) Analysis of composition data (dots) of human mammary epithelial cell lines with cell states CD44−/CD24+ and CD44+/CD24−. The corresponding predictions are plotted as colored curves. (H) to (I) We excluded several of the late data points from the data of the proportions of cancer stem cells (CSCs) and nonstem cancer cells from the work by Yang et al and the data with adherent and suspended cells from the work by Geng et al. The predictions based on the remaining data are plotted, compare also with . This investigation indicates that CellTrans is able to predict cell state proportions even beyond the duration of experiments and that only a few data points are needed to reliably predict the equilibrium.
Cell Line Sum149, supplied by CellTrans Inc, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/result/cell line sum149/product/CellTrans Inc
Average 90 stars, based on 1 article reviews
cell line sum149 - by Bioz Stars, 2026-03
90/100 stars
  Buy from Supplier

Image Search Results


CellTrans model predictions and validations. (A) to (G) We used CellTrans to analyze data of the evolution of cell state proportions of publicly available data. The data are plotted by colored dots. (A) to (F) The data originate from the work by Gupta et al4 with 3 different cell states (stem, basal, and luminal) from SUM149 and SUM159 breast cancer cell lines. The predictions of our analysis are plotted by colored curves. The color indicates the state of the cells at the beginning of the corresponding experiment. (G) Analysis of composition data (dots) of human mammary epithelial cell lines with cell states CD44−/CD24+ and CD44+/CD24−. The corresponding predictions are plotted as colored curves. (H) to (I) We excluded several of the late data points from the data of the proportions of cancer stem cells (CSCs) and nonstem cancer cells from the work by Yang et al and the data with adherent and suspended cells from the work by Geng et al. The predictions based on the remaining data are plotted, compare also with . This investigation indicates that CellTrans is able to predict cell state proportions even beyond the duration of experiments and that only a few data points are needed to reliably predict the equilibrium.

Journal: Bioinformatics and Biology Insights

Article Title: CellTrans: An R Package to Quantify Stochastic Cell State Transitions

doi: 10.1177/1177932217712241

Figure Lengend Snippet: CellTrans model predictions and validations. (A) to (G) We used CellTrans to analyze data of the evolution of cell state proportions of publicly available data. The data are plotted by colored dots. (A) to (F) The data originate from the work by Gupta et al4 with 3 different cell states (stem, basal, and luminal) from SUM149 and SUM159 breast cancer cell lines. The predictions of our analysis are plotted by colored curves. The color indicates the state of the cells at the beginning of the corresponding experiment. (G) Analysis of composition data (dots) of human mammary epithelial cell lines with cell states CD44−/CD24+ and CD44+/CD24−. The corresponding predictions are plotted as colored curves. (H) to (I) We excluded several of the late data points from the data of the proportions of cancer stem cells (CSCs) and nonstem cancer cells from the work by Yang et al and the data with adherent and suspended cells from the work by Geng et al. The predictions based on the remaining data are plotted, compare also with . This investigation indicates that CellTrans is able to predict cell state proportions even beyond the duration of experiments and that only a few data points are needed to reliably predict the equilibrium.

Article Snippet: CellTrans is able to recover the transition matrices for both cell lines SUM149 and SUM159 presented in the work by Gupta et al ( ). illustrates the predicted evolution of cell fractions for both cell lines.

Techniques: