2021-06-25T12:16:57 n15375

SWATH-MS Proteomic Profiling of Androgen and Anti-androgen Treated LNCaP and C42B Prostate Cancer Cell lines

Viewed: 191

The current dataset was generated to explore the proteomic alterations stimulated in AR antagonist/anti-androgen (Bicalutamide and Enzalutamide) treated androgen-dependent cell model (LNCaP) in comparison with androgen-independent/castration-resistant cell model (C4-2B). Cells were seeded in 6-well plates using RPMI-1640+5% FBC and were incubated at 37 °C for 48 h. The medium was replaced with androgen-depleted culture medium containing 5% charcoal-striped serum for 48 h. Next, cells were supplemented with androgens: DHT (10 nM DHT), or anti-androgens: BICALUTAMIDE and ENZALUTAMIDE (10 μM) and Ethanol (EtOH: 20%) and incubated at 37 °C for additional 48 has described previously. C4-2B cells were cultured in RPMI-1640+5% FBS.

The SWATH-MS label-free quantification method was used to obtain the total proteome of LNCaP and C42B cell lines. Current dataset provides the DDA and SWATH mass spectrometry files of androgen/anti-androgen treated LNCaP and C42B cell lines.

Geographical area of data collection

kmlPolyCoords
153.027190,-27.475887

Publications

Liyanage, C.; Malik, A.; Abeysinghe, P.; Clements, J.; Batra, J. SWATH-MS Based Proteomic Profiling of Prostate Cancer Cells Reveals Adaptive Molecular Mechanisms in Response to Anti-Androgen Therapy. Cancers 2021, 13, 715. https://doi.org/10.3390/cancers13040715

Research areas

Enzalutamide
Prostate cancer
Transcriptomics
Bicalutamide
Anti-androgen therapy
Proteomics

Cite this collection

Liyanage, Chamikara; Malik, Mohammed Adil; Abeysinghe, Pevindu; Clements, Judith; Batra, Jyotsna; (2021): SWATH-MS Based Proteomic Profiling of Prostate Cancer Cells Reveals Adaptive Molecular Mechanisms in Response to Anti-Androgen Therapy. Queensland University of Technology. (Dataset) https://doi.org/10.25912/RDF_1621567963490

Partner institution

Data file types

Data files consist of LC-MS/MS Raw Files.

Licence


Creative Commons Attribution 4.0 (CC-BY)
http://creativecommons.org/licenses/by/4.0/

Copyright

© Queensland University of Technology, 2021.

Dates of data collection

From 2019-05-01 to 2020-05-01

Connections

Has association with
Judith Clements  (Researcher)
Has chief investigator
Jyotsna Batra  (Researcher)

Contacts

Name: Associate Professor Jyotsna Batra
Phone: +61 7 3443 7336

Other

Date record created:
2021-05-17T19:12:29
Date record modified:
2021-06-25T12:16:57
Record status:
Published - Open Access