JBEI - Automated Proteomic Sample Preparation

JBEI - Automated Proteomic Sample Preparation
Clustergrammer Heatmap
 
Download
20240429_OG_Dataset6.sky.zip2024-05-01 05:14:22101935791
20240429_OG_Dataset6_filtered.sky.zip2024-05-01 05:13:1510802401
20240429_U87MGNG_Dataset4_filtered.sky.zip2024-05-01 05:10:0910471411
20240429_U87MGNG_Dataset4.sky.zip2024-05-01 05:03:35104891,4671
20240429_PermFet_Dataset3_filtered.sky.zip2024-05-01 05:00:38103761,1281
20240429_Fetuin_Dataset1.sky.zip2024-05-01 03:45:15102407201
20240429_GSL_Dataset5_2024-05-01.sky.zip2024-05-01 03:43:37102928761
20240429_GSL_Dataset5_filtered.sky.zip2024-05-01 03:42:4010772311
2023_10_13_Dap8_PW_V_Singh_DGDGs_2023-12-04_15-29-42.sky.zip2024-04-30 20:58:3610182916
2023_10_13_Dap8_PW_V_Singh_LysylPGs_2023-12-04_15-28-21.sky.zip2024-04-30 20:58:361018726
2023_10_13_Dap8_PW_V_Singh_PGs_2023-12-04_15-27-38.sky.zip2024-04-30 20:58:3610182819
2023_08_31_N_CSH_V_Singh_Strains_DGDGs_2023-12-04_15-25-28.sky.zip2024-04-30 20:58:3610182919
2023_08_31_N_CSH_V_Singh_Strains_LysylPGs_2023-12-04_15-22-27.sky.zip2024-04-30 20:58:361018729
2023_08_31_N_CSH_V_Singh_Strains_PGs_2023-12-04_15-16-51.sky.zip2024-04-30 20:58:3610182919
2022_01_25_P_N315_and_Dap8_LPG_precursors_2023-04-13_14-50-41.sky.zip2024-04-30 20:58:361018186
2021_09_17_N315_and_Dap8_isotope_labeled_16_2023-04-13_14-14-56.sky.zip2024-04-30 20:58:36105122612
2021_09_17_N315_and_Dap8_isotope_labeled_15_2023-04-13_14-00-31.sky.zip2024-04-30 20:58:36105124812
20240429_CSFNG_Dataset2_2024-05-01.sky.zip2024-04-30 19:10:16101,4804,4401
20240429_CSFNG_Dataset2_filtered.sky.zip2024-04-30 19:02:191016481
20240429_PermFet_Dataset3.sky.zip2024-04-30 10:09:10103,37010,1101
20240429_Fetuin_Dataset1_filtered.sky.zip2024-04-30 10:08:431029871
figure7_DIA_samples.sky.zip2024-04-09 15:12:492212125133
figure6_PRM_system_suitability_2024-02-05_19-48-55.sky.zip2024-04-09 15:12:422171718948
figure6_DIA_samples_2024-02-06_13-03-26.sky.zip2024-04-09 15:12:2722121251157
figure5_DIA_samples.sky.zip2024-04-09 15:12:182212125115
figure5_PRM_system_suitability.sky.zip2024-04-09 15:12:18217171896
figure4_PRM_system_suitability.sky.zip2024-04-09 15:12:092171718914
figure4_DIA_samples.sky.zip2024-04-09 15:12:092212125132
figure3_PRM_system_suitability.sky.zip2024-04-09 15:12:042171718937
figure2_PRM_system_suitability_2024-02-02_13-59-23.sky.zip2024-04-09 15:11:542171718985
NV0001_Mouse-Skin_mProphet_Panorama_2024-03-09_19-20-18.sky.zip2024-03-10 20:30:291,6595,7905,79028,90434
XW0008_Cas9Myc_DIAassayLIB_OmBcells_17Nov2023_2024-02-24_08-51-18.sky.zip2024-02-24 12:56:485,20383,67483,675605,04024
XW0009_DIAassayLIB_OmBcells_17Nov2023_2024-02-23_18-35-50.sky.zip2024-02-23 22:06:575,20383,64583,647604,72019
AutoQC-lumos-SysS-MouAD-PFC-C2-B5-B7.sky.zip2024-02-20 07:53:561889414
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C2_B07.sky.zip2024-02-18 11:31:099,778127,624127,624966,34712
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C2_B06.sky.zip2024-02-18 10:45:259,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C2_B05.sky.zip2024-02-18 09:51:569,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C2_B04.sky.zip2024-02-18 01:14:219,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C2_B03.sky.zip2024-02-18 00:22:039,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C2_B02.sky.zip2024-02-17 23:29:529,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C2_B01.sky.zip2024-02-17 18:20:009,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B28.sky.zip2024-02-17 17:30:039,778127,624127,624966,3476
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B27.sky.zip2024-02-17 16:57:559,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B26.sky.zip2024-02-17 15:06:069,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B25.sky.zip2024-02-17 14:11:069,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B24.sky.zip2024-02-17 13:17:049,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B23.sky.zip2024-02-17 10:45:369,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B22.sky.zip2024-02-17 09:52:589,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B21.sky.zip2024-02-17 09:01:129,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B20.sky.zip2024-02-17 01:24:329,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B19.sky.zip2024-02-17 00:31:539,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B18.sky.zip2024-02-16 23:42:139,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B17.sky.zip2024-02-16 21:59:109,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B16.sky.zip2024-02-16 21:08:449,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B15.sky.zip2024-02-16 19:45:379,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B14.sky.zip2024-02-16 18:50:509,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B13.sky.zip2024-02-16 17:05:369,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B12.sky.zip2024-02-16 16:13:309,778127,624127,624966,34716
XW0008-Myc248_DIAassayLIB_OmBcells_17Nov2023_2024-02-16_10-02-13.sky.zip2024-02-16 15:02:065,20383,67483,675605,04024
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B11.sky.zip2024-02-16 11:03:589,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B10.sky.zip2024-02-16 10:07:519,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B09.sky.zip2024-02-16 09:14:539,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B08.sky.zip2024-02-16 08:20:059,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B07.sky.zip2024-02-16 01:08:409,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B06.sky.zip2024-02-16 00:17:379,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B05.sky.zip2024-02-15 23:29:389,778127,624127,624966,34716
XW0008_nanos3_DIAassayLIB_OmBcells_17Nov2023_2024-02-15_17-02-46.sky.zip2024-02-15 21:13:165,20383,67483,675605,04024
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B04.sky.zip2024-02-15 16:37:369,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B03.sky.zip2024-02-15 14:42:299,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B02.sky.zip2024-02-15 13:44:359,778127,624127,624966,34716
Lumos-Jax-Cortex-DIA-ind-8mz-ovlp-400to1000-C1_B01.sky.zip2024-02-15 12:45:409,778127,624127,624966,34716
AutoQC-lumos-PCs-MouAD-PFC-C2-B5-B7.sky.zip2024-02-14 16:42:502141417344
AutoQC-lumos-PCs-MouAD-PFC-C2-B1-B4.sky.zip2024-02-14 16:42:332141417364
AutoQC-lumos-PCs-MouAD-PFC-C1-B9-B12.sky.zip2024-02-14 16:42:152141417364
AutoQC-lumos-PCs-MouAD-PFC-C1-B4-B8.sky.zip2024-02-14 16:42:002141417380
AutoQC-lumos-PCs-MouAD-PFC-C1-B25-B28.sky.zip2024-02-14 16:41:372141417354
AutoQC-lumos-PCs-MouAD-PFC-C1-B21-B24.sky.zip2024-02-14 16:41:002141417364
AutoQC-lumos-PCs-MouAD-PFC-C1-B17-B20.sky.zip2024-02-14 16:40:442141417365
AutoQC-lumos-PCs-MouAD-PFC-C1-B13-B16.sky.zip2024-02-14 16:40:282141417364
AutoQC-lumos-PCs-MouAD-PFC-C1-B1-B3.sky.zip2024-02-14 16:40:082141417347
AutoQC-lumos-SysS-MouAD-PFC-C2-B1-B4.sky.zip2024-02-14 16:10:161889417
AutoQC-lumos-SysS-MouAD-PFC-C1-B9-B12.sky.zip2024-02-14 16:06:251889416
AutoQC-lumos-SysS-MouAD-PFC-C1-B4-B8.sky.zip2024-02-14 16:02:231889422
AutoQC-lumos-SysS-MouAD-PFC-C1-B1-B3.sky.zip2024-02-14 15:59:501889418
AutoQC-lumos-SysS-MouAD-PFC-C1-B17-B20.sky.zip2024-02-14 14:48:381889410
ZipChip_HR_Metabolomics_2024Protocol_2024-02-05_17-24-05.sky.zip2024-02-05 14:24:28100821594
22AminoAcids_Fully13CLabeled_2024-01-29_14-30-52.sky.zip2024-01-29 11:32:1410444936
RBD_M_Glyco_2024-01-25_15-29-41.sky.zip2024-01-26 17:23:2672923972,3829
20240104_Neg_FMT_MCBAs_isoRemove_Cleaned_Final_2024-01-25_21-40-19.sky.zip2024-01-26 16:43:471010030056
20231220_Neg_FMT_BA_Full_reduce_Res50_High_final_2024-01-04_15-44-59.sky.zip2024-01-26 16:43:47405112176
P179_UNCSet1_ACE_v0p3_2024-01-24_22-42-18.sky.zip2024-01-24 19:51:4423034963724
P179_UNCSet2_ACE_v0p3_2024-01-24_22-37-25.sky.zip2024-01-24 19:40:1117021336726
New_iRBD2024-01-15 23:30:5233474794292
Paired_CSF_Plasma_Serum2024-01-15 23:30:523347479460
Initial_Targeted_Proteomics2024-01-15 23:30:5233474794441
TPAD_VL_CSF_PRTC_APOA1_2024-01-07_23-01-46.sky.zip2024-01-07 23:08:493464642412
TPAD-CSF-SP3_1-5.sky.zip2024-01-05 06:03:432,90823,74323,743189,895396
173_peptides_iRTs_chromatogram_library_2023-12-22_00-47-19.sky.zip2023-12-22 01:06:36311833561,0822
Figure_8B_Freiburg_ALG1-CDG-Patients_Comparison_2023-12-22_02-34-55.sky.zip2023-12-22 01:06:2022691284006
Figures_4_5_6_7_8A_Heidelberg_CDG-Patients_2023-12-22_02-32-43.sky.zip2023-12-22 01:06:20206712439014
An automated ‘cells-to-peptides’ sample preparation workflow for high-throughput, quantitative proteomic assays of microbes
ProteomeXchange: PXD014182
  • Organism: Escherichia coli, Saccharomyces cerevisiae, Pseudomonas putida KT2440, Rhodosporidium toruloides
  • Instrument: 6460 Triple Quadrupole LC/MS
  • SpikeIn: No
  • Keywords: Automation, Sample preparation, Proteomics, Bacteria, Fungi, Microbes, Biotechnology, High-throughput
  • Lab head: Chris Petzold Submitter: Chris Petzold
Abstract
Mass spectrometry–based quantitative proteomic analysis has proven valuable for clinical and biotechnology related research and development. Driving this value have been improvements in the sensitivity, resolution, and robustness of mass analyzers. However, manual sample preparation protocols are often a bottleneck for sample throughput and can lead to poor reproducibility, especially for applications where thousands of samples per month must be analyzed. To alleviate these issues, we developed a ‘cells-to-peptides’ automated workflow for Gram-negative bacteria and fungi that includes cell lysis, protein precipitation, resuspension, quantification, normalization, and tryptic digestion. The workflow takes two hours to process 96 samples from cell pellets to the initiation of the tryptic digestion step and can process 384 samples in parallel. We measured the efficiency of protein extraction from various amounts of cell biomass and optimized the process for standard liquid chromatography-mass spectrometry systems. The automated workflow was tested by preparing 96 E. coli samples and quantifying over 600 peptides that resulted in a median coefficient of variation of 15.8%. Similar technical variance was observed for three other organisms as measured by highly-multiplexed LC-SRM-MS acquisition methods. These results show that this automated sample preparation workflow provides robust, reproducible proteomic samples for high-throughput applications.
Experiment Description
Targeted SRM methods were developed with the assistance of in-house built spectral libraries of the microbes. SRM selection criteria excluded peptides with Met/Cys residues, tryptic peptides followed by additional cut sites (KK/RR), and peptides with proline adjacent to K/R cut sites. All possible doubly charged peptides were screened for y-series ions to establish the peptide identity and the most sensitive transitions. The SRM targeted proteomic assays were performed on an Agilent 6460QQQ mass spectrometer system coupled with an Agilent 1290 UHPLC system (Agilent Technologies, Santa Clara, CA). Mobile phase A consisted of 0.1% FA (Thermo Scientific) in LC-MS grade water (Burdick & Jackson, Muskegon, MI), and mobile phase B consisted of 0.1% FA in LC-MS grade acetonitrile (Burdick & Jackson). Twenty (20) µg peptides were separated on an Ascentis Express Peptide C18 column [2.7-mm particle size, 160-Å pore size, 5-cm length × 2.1-mm inside diameter (ID), coupled to a 5-mm × 2.1-mm ID guard column with the same particle and pore size, operating at 60°C; Sigma-Aldrich, St. Louis, MO] operating at a flow rate of 0.4 ml/min via gradients depending on the purpose of our investigations. To comprehensively evaluate the variance of automated sample preparation platform for microorganism we investigated, highly multiplexed assays that target hundreds of peptides were developed in either a single, scheduled 25 minute-gradient UHPLC-SRM-MS analysis for E. coli or a single, scheduled 30 minute-gradient UHPLC-SRM-MS analysis for the other three microorganisms. For the 25 minutes LC run, peptides were loaded to the column equilibrated with 5% B and hold for 0.6 minutes, followed by a linear gradient elution to 35% B over 20.4 minutes. The column was washed at 80% B for two minutes, and then equilibrated to 5% B for 1.5 minutes before loading next sample. For the 30 minutes LC run, peptides were loaded to the column equilibrated with 4% B and hold for 1 minutes, followed by a linear gradient elution to 40% B over 20 minutes. The column was washed at 90% B for 2 minutes, and then equilibrated to 4% B for 4 minutes before loading next sample.
Sample Description
Escherichia coli strain BW25113 (JPUB_001327), Saccharomyces cerevisiae S288C (JPUB_013514), Rhodosporidium toruloides NP11 (JPUB_012600), and Pseudomonas putida KT2440 (JPUB_012605) were cultured in house under the following conditions. For shake flask culturing at 200 RPM, E. coli and P. putida strains were grown for 24 hours in Luria broth (LB) medium at 37 °C and 30 °C respectively. S. cerevisiae and Rhodosporidium toruloides strains were grown overnight in YPD medium at 30ºC. Cells were distributed to 96 well plate format and harvested by centrifugation. Cell pellets were frozen at -80 °C until further processing either with the automated sample preparation workflow or manually.
Created on 6/7/19, 3:13 PM