Breast Cancer Profiling Project – Proteomics 1: 1 total proteome dataset for a 35-cell line breast cancer panel under basal conditions - Dataset (ID:20352)
|HMS Dataset ID:||20352|
|Dataset Title:||Breast Cancer Profiling Project – Proteomics 1: 1 total proteome dataset for a 35-cell line breast cancer panel under basal conditions|
|Screening Lab Investigator:||Caitlin E. Mills, Marc Hafner, Kartik Subramanian|
|Screening Principal Investigator:||Peter K. Sorger|
|Assay Description:||We measured the baseline proteomic profiles of two non-malignant breast cell lines and 33 breast cancer cell lines of which twenty were triple negative, six were hormone receptor positive, four were Her2 amplified, and three were established from triple negative patient-derived xenografts.|
1. Cells in mid-log phase of the growth cycle from 35 breast cancer cell lines were plated at appropriate densities in 15-cm plates to achieve ~50-60% confluence at the time of harvest. The growth conditions used are detailed in this file download: Growth Conditions. One biological replicate for cell line MCF 10A was included for a total of 36 samples.|
2. Cells were washed twice with ice cold PBS and scraped off plates in PBS containing 1X HALT protease/phosphatase inhibitor, pelleted, and stored at -80°C until further processing.
3. Working in batches of 9 samples, cell pellets were thawed, solubilized in lysis buffer (2% SDS, 150 mM NaCl, 50 mM Tris pH8.5, 1X HALT, 2 mM sodium vanadate), homogenized with a handheld drill, reduced and alkylated. Based on BCA results, 4mg from each sample was subjected to methanol/chloroform precipitation.
4. Precipitates were solubilized in 8M urea in 200 mM EPPS, diluted with further EPPS, and then underwent Lys-C and trypsin digests. A small aliquot was removed for a digestion check (< 15% missed cleavages).
5. After acidification with formic acid (FA), samples were purified via centrifugation, passage through low-protein binding filters, and C-18 Sep-Pak de-salting. From each sample, 60 μg protein was aliquoted for proteomics, and the remainder of the sample used for phosphoproteomics (see HMS-LINCS dataset #20353).
6. Samples were dried and resuspended in EPPS with acetonitrile (ACN) and labelled using a TMT10plex Mass Tag Labelling Kit. A small aliquot was removed for a ratio check to ensure complete labeling (> 98%); equal amounts of labelled peptide from each sample (as judged from ratio check data) were combined for subsequent analysis. TMT labelling reactions were quenched by adding hydroxylamine to a final concentration of 0.5% (v/v).
6. Samples were acidified, pooled, and de-salted prior to HPLC separation, using an Agilent 1200 Series instrument with a flow rate of 600μl/min over a period of 75 minutes. Twelve fractions were collected over the last 65 minutes, and cleaned up using the Stage Tip protocol.
7. Samples were dried and resuspended in MS loading buffer (3% ACN, 5% FA), and injected into an Orbitrap Fusion Lumos Tribrid MS using a multi-notch MS3 method. LC-MS was performed in the Orbitrap over a scan range of 400-1400m/z with dynamic exclusion. The top 10 ions with charge states from 2 to 6 were selected for MS/MS. Rapid rate scans were performed in the Ion Trap with a collision energy of 35% and a maximum injection time of 120 ms. TMT quantification was performed using SPS-MS3 in the Orbitrap with a scan range of 100-1000 m/z and an HCD collision energy of 55%.
8. A compilation of commercially available software (Core software program) was used to convert mass spectrometric data (Thermo “.RAW” files) to mzXML format and correct monoisotopic m/z measurements and erroneous peptide charge state assignments. Assignment of MS/MS spectra was performed using Sequest and the Human Uniprot database.
Proteomic data are available for download here and are also shared via a Synapse repository.
|Assay Protocol Reference:||
Rappsilber, J.; Mann, M.; Ishihama, Y., Protocol for micro-purification, enrichment, pre-fractionation and storage of peptides for proteomics using StageTips. Nature Protocols 2007, 2 (8), 1896-1906.|
Ting, L.; Rad, R.; Gygi, S. P.; Haas, W., MS3 eliminates ratio distortion in isobaric multiplexed quantitative proteomics. Nature Methods 2011, 8 (11), 937-940.
McAlister, G. C.; Nusinow, D. P.; Jedrychowski, M. P.; Wuhr, M.; Huttlin, E. L.; Erickson, B. K.; Rad, R.; Haas, W.; Gygi, S. P., MultiNotch MS3 enables accurate, sensitive, and multiplexed detection of differential expression across cancer cell line proteomes. Anal Chem 2014, 86 (14), 7150-8.
Eng, J. K.; McCormack, A. L.; Yates, J. R., An approach to correlate tandem mass spectral data of peptides with amino acid sequences in a protein database. Journal of the American Society for Mass Spectrometry 1994, 5 (11), 976-989.
|HMS Dataset Type:||Proteomics|
|Date Publicly Available:||2018-10-18|
|Most Recent Update:||2018-12-21|