Molecular Portrait of Breast-Cancer-Derived Cell Lines Reveals Poor Similarity with Tumors.
(2015) In Journal of Proteome Research 14(7). p.2819-2827- Abstract
- Breast-cancer-derived cell lines are an important sample source for cancer proteomics and can be classified on the basis of transcriptomic analysis into subgroups corresponding to the molecular subtypes observed in mammary tumors. This study describes a tridimensional fractionation method that allows high sequence coverage and proteome-wide estimation of protein expression levels. This workflow has been used to conduct an in-depth quantitative proteomic survey of five breast cancer cell lines matching all major cancer subgroups and shows that despite their different classification, these cell lines display a very high level of similarity. A proteome-wide comparison with the RNA levels observed in the same samples showed very little to no... (More)
- Breast-cancer-derived cell lines are an important sample source for cancer proteomics and can be classified on the basis of transcriptomic analysis into subgroups corresponding to the molecular subtypes observed in mammary tumors. This study describes a tridimensional fractionation method that allows high sequence coverage and proteome-wide estimation of protein expression levels. This workflow has been used to conduct an in-depth quantitative proteomic survey of five breast cancer cell lines matching all major cancer subgroups and shows that despite their different classification, these cell lines display a very high level of similarity. A proteome-wide comparison with the RNA levels observed in the same samples showed very little to no correlation. Finally, we demonstrate that the proteomes of in vitro models of breast cancer display surprisingly little overlap with those of clinical samples. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/7487454
- author
- Cifani, Paolo LU ; Kirik, Ufuk LU ; Waldemarson, Sofia LU and James, Peter LU
- organization
- publishing date
- 2015
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Proteome Research
- volume
- 14
- issue
- 7
- pages
- 2819 - 2827
- publisher
- The American Chemical Society (ACS)
- external identifiers
-
- pmid:26055192
- wos:000357624400008
- scopus:84947237670
- pmid:26055192
- ISSN
- 1535-3893
- DOI
- 10.1021/acs.jproteome.5b00375
- language
- English
- LU publication?
- yes
- id
- d39527a4-3097-4103-bf26-de80819d2e29 (old id 7487454)
- date added to LUP
- 2016-04-01 10:59:47
- date last changed
- 2023-08-31 16:36:42
@article{d39527a4-3097-4103-bf26-de80819d2e29, abstract = {{Breast-cancer-derived cell lines are an important sample source for cancer proteomics and can be classified on the basis of transcriptomic analysis into subgroups corresponding to the molecular subtypes observed in mammary tumors. This study describes a tridimensional fractionation method that allows high sequence coverage and proteome-wide estimation of protein expression levels. This workflow has been used to conduct an in-depth quantitative proteomic survey of five breast cancer cell lines matching all major cancer subgroups and shows that despite their different classification, these cell lines display a very high level of similarity. A proteome-wide comparison with the RNA levels observed in the same samples showed very little to no correlation. Finally, we demonstrate that the proteomes of in vitro models of breast cancer display surprisingly little overlap with those of clinical samples.}}, author = {{Cifani, Paolo and Kirik, Ufuk and Waldemarson, Sofia and James, Peter}}, issn = {{1535-3893}}, language = {{eng}}, number = {{7}}, pages = {{2819--2827}}, publisher = {{The American Chemical Society (ACS)}}, series = {{Journal of Proteome Research}}, title = {{Molecular Portrait of Breast-Cancer-Derived Cell Lines Reveals Poor Similarity with Tumors.}}, url = {{http://dx.doi.org/10.1021/acs.jproteome.5b00375}}, doi = {{10.1021/acs.jproteome.5b00375}}, volume = {{14}}, year = {{2015}}, }