Analysis of protein expression in pure cell nuclei populations isolated from human breast cancer tissue by DNA flow cytometric sorting.
(2010) In Journal of Proteomics 73. p.1111-1116- Abstract
- In this study, cell nuclei from aneuploid breast cancer samples were sorted with respect to DNA content into pure diploid and aneuploid fractions using flow cytometry. The nuclear proteins were then separated by one-dimensional gel electrophoresis (1D-PAGE) and differences in protein expression patterns, between diploid and aneuploid nuclei from the same tumours, were compared. Using a combination of peptide finger printing and peptide identification by MALDI-TOF mass spectrometry, we identified proteins and confirmed that the proteins were of nuclear origins. The results in this study add further information to the knowledge about the breast cancer disease complexity and heterogeneity at molecular level. For some of the tumours studied... (More)
- In this study, cell nuclei from aneuploid breast cancer samples were sorted with respect to DNA content into pure diploid and aneuploid fractions using flow cytometry. The nuclear proteins were then separated by one-dimensional gel electrophoresis (1D-PAGE) and differences in protein expression patterns, between diploid and aneuploid nuclei from the same tumours, were compared. Using a combination of peptide finger printing and peptide identification by MALDI-TOF mass spectrometry, we identified proteins and confirmed that the proteins were of nuclear origins. The results in this study add further information to the knowledge about the breast cancer disease complexity and heterogeneity at molecular level. For some of the tumours studied different nuclei protein patterns were obtained, in the diploid respective aneuploid nuclei populations, whilst other tumours did not show these differences. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/1523788
- author
- Baldetorp, Bo LU ; Johansson, Maria C LU ; Ingvar, Christian LU ; Lundgren, Lotta LU ; Olsson, Håkan LU ; Jansson, Bo LU and Welinder, Charlotte LU
- organization
- publishing date
- 2010
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Journal of Proteomics
- volume
- 73
- pages
- 1111 - 1116
- publisher
- Elsevier
- external identifiers
-
- wos:000277763800008
- pmid:19995621
- scopus:77950516408
- pmid:19995621
- ISSN
- 1874-3919
- DOI
- 10.1016/j.jprot.2009.11.014
- language
- English
- LU publication?
- yes
- id
- 03e64dae-af3f-429e-9c3f-e368dbcaddd7 (old id 1523788)
- alternative location
- http://www.ncbi.nlm.nih.gov/pubmed/19995621?dopt=Abstract
- date added to LUP
- 2016-04-04 07:28:59
- date last changed
- 2022-01-29 02:16:34
@article{03e64dae-af3f-429e-9c3f-e368dbcaddd7, abstract = {{In this study, cell nuclei from aneuploid breast cancer samples were sorted with respect to DNA content into pure diploid and aneuploid fractions using flow cytometry. The nuclear proteins were then separated by one-dimensional gel electrophoresis (1D-PAGE) and differences in protein expression patterns, between diploid and aneuploid nuclei from the same tumours, were compared. Using a combination of peptide finger printing and peptide identification by MALDI-TOF mass spectrometry, we identified proteins and confirmed that the proteins were of nuclear origins. The results in this study add further information to the knowledge about the breast cancer disease complexity and heterogeneity at molecular level. For some of the tumours studied different nuclei protein patterns were obtained, in the diploid respective aneuploid nuclei populations, whilst other tumours did not show these differences.}}, author = {{Baldetorp, Bo and Johansson, Maria C and Ingvar, Christian and Lundgren, Lotta and Olsson, Håkan and Jansson, Bo and Welinder, Charlotte}}, issn = {{1874-3919}}, language = {{eng}}, pages = {{1111--1116}}, publisher = {{Elsevier}}, series = {{Journal of Proteomics}}, title = {{Analysis of protein expression in pure cell nuclei populations isolated from human breast cancer tissue by DNA flow cytometric sorting.}}, url = {{http://dx.doi.org/10.1016/j.jprot.2009.11.014}}, doi = {{10.1016/j.jprot.2009.11.014}}, volume = {{73}}, year = {{2010}}, }