Morphometric subtyping for a panel of breast cancer cell lines

Ju Han, Hang Chang, Gerald Fontenay, Nicholas J. Wang, Joe Gray, Bahram Parvin

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A panel of cell lines of diverse molecular background offers an improved model system for high-content screening, comparative analysis, and cell systems biology. A computational pipeline has been developed to collect images from cell-based assays, segment individual cells and colonies, represent segmented objects in a multidimensional space, and cluster them for identifying distinct subpopulations. While each segmentation strategy can vary for different imaging assays, representation and subpopulation analysis share a common thread. Application of this pipeline to a library of 41 breast cancer cell lines is demonstrated. These cell lines are grown in 2D and imaged through immunofluorescence microscopy. Subpopulations in this panel are identified and shown to correlate with previous subtyping literature that was derived from transcript data.

Original languageEnglish (US)
Title of host publicationProceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
Pages791-794
Number of pages4
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 - Boston, MA, United States
Duration: Jun 28 2009Jul 1 2009

Other

Other2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009
CountryUnited States
CityBoston, MA
Period6/28/097/1/09

Fingerprint

Cells
Breast Neoplasms
Cell Line
Assays
Pipelines
Systems Biology
Fluorescence Microscopy
Libraries
Cell Biology
Microscopic examination
Screening
Imaging techniques

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Han, J., Chang, H., Fontenay, G., Wang, N. J., Gray, J., & Parvin, B. (2009). Morphometric subtyping for a panel of breast cancer cell lines. In Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009 (pp. 791-794). [5193168] https://doi.org/10.1109/ISBI.2009.5193168

Morphometric subtyping for a panel of breast cancer cell lines. / Han, Ju; Chang, Hang; Fontenay, Gerald; Wang, Nicholas J.; Gray, Joe; Parvin, Bahram.

Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. 2009. p. 791-794 5193168.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Han, J, Chang, H, Fontenay, G, Wang, NJ, Gray, J & Parvin, B 2009, Morphometric subtyping for a panel of breast cancer cell lines. in Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009., 5193168, pp. 791-794, 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009, Boston, MA, United States, 6/28/09. https://doi.org/10.1109/ISBI.2009.5193168
Han J, Chang H, Fontenay G, Wang NJ, Gray J, Parvin B. Morphometric subtyping for a panel of breast cancer cell lines. In Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. 2009. p. 791-794. 5193168 https://doi.org/10.1109/ISBI.2009.5193168
Han, Ju ; Chang, Hang ; Fontenay, Gerald ; Wang, Nicholas J. ; Gray, Joe ; Parvin, Bahram. / Morphometric subtyping for a panel of breast cancer cell lines. Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009. 2009. pp. 791-794
@inproceedings{da09936df9eb4a21aff3a32f774bfe3c,
title = "Morphometric subtyping for a panel of breast cancer cell lines",
abstract = "A panel of cell lines of diverse molecular background offers an improved model system for high-content screening, comparative analysis, and cell systems biology. A computational pipeline has been developed to collect images from cell-based assays, segment individual cells and colonies, represent segmented objects in a multidimensional space, and cluster them for identifying distinct subpopulations. While each segmentation strategy can vary for different imaging assays, representation and subpopulation analysis share a common thread. Application of this pipeline to a library of 41 breast cancer cell lines is demonstrated. These cell lines are grown in 2D and imaged through immunofluorescence microscopy. Subpopulations in this panel are identified and shown to correlate with previous subtyping literature that was derived from transcript data.",
author = "Ju Han and Hang Chang and Gerald Fontenay and Wang, {Nicholas J.} and Joe Gray and Bahram Parvin",
year = "2009",
doi = "10.1109/ISBI.2009.5193168",
language = "English (US)",
isbn = "9781424439324",
pages = "791--794",
booktitle = "Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009",

}

TY - GEN

T1 - Morphometric subtyping for a panel of breast cancer cell lines

AU - Han, Ju

AU - Chang, Hang

AU - Fontenay, Gerald

AU - Wang, Nicholas J.

AU - Gray, Joe

AU - Parvin, Bahram

PY - 2009

Y1 - 2009

N2 - A panel of cell lines of diverse molecular background offers an improved model system for high-content screening, comparative analysis, and cell systems biology. A computational pipeline has been developed to collect images from cell-based assays, segment individual cells and colonies, represent segmented objects in a multidimensional space, and cluster them for identifying distinct subpopulations. While each segmentation strategy can vary for different imaging assays, representation and subpopulation analysis share a common thread. Application of this pipeline to a library of 41 breast cancer cell lines is demonstrated. These cell lines are grown in 2D and imaged through immunofluorescence microscopy. Subpopulations in this panel are identified and shown to correlate with previous subtyping literature that was derived from transcript data.

AB - A panel of cell lines of diverse molecular background offers an improved model system for high-content screening, comparative analysis, and cell systems biology. A computational pipeline has been developed to collect images from cell-based assays, segment individual cells and colonies, represent segmented objects in a multidimensional space, and cluster them for identifying distinct subpopulations. While each segmentation strategy can vary for different imaging assays, representation and subpopulation analysis share a common thread. Application of this pipeline to a library of 41 breast cancer cell lines is demonstrated. These cell lines are grown in 2D and imaged through immunofluorescence microscopy. Subpopulations in this panel are identified and shown to correlate with previous subtyping literature that was derived from transcript data.

UR - http://www.scopus.com/inward/record.url?scp=70449344422&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=70449344422&partnerID=8YFLogxK

U2 - 10.1109/ISBI.2009.5193168

DO - 10.1109/ISBI.2009.5193168

M3 - Conference contribution

AN - SCOPUS:70449344422

SN - 9781424439324

SP - 791

EP - 794

BT - Proceedings - 2009 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2009

ER -