U of Leipzig AG Bioanalytics - A Workflow Towards The Reproducible Identification and Quantitation of Protein Carbonylation Sites in Human Plasma

U of Leipzig AG Bioanalytics - A Workflow Towards The Reproducible Identification and Quantitation of Protein Carbonylation Sites in Human Plasma
A Workflow Towards The Reproducible Identification and Quantitation of Protein Carbonylation Sites in Human Plasma
Data License: CC BY 4.0
  • Organism: Homo sapiens
  • Instrument: SYNAPT G2-Si
  • SpikeIn: No
  • Keywords: protein carbonylation; human plasma; aldehyde reactive probe (ARP); biotin-avidin affinity; LC-MS/MS
  • Submitter: Juan Camilo Rojas Echeverri
Abstract
Protein carbonylation, a marker of excessive oxidative stress, has been studied in the context of multiple human diseases related to oxidative stress. The variety of post-translational carbonyl modifications (carbonyl PTMs) and their low concentrations in plasma challenge their repro-ducible identification and quantitation. However, carbonyl-specific biotinylated derivatization tags (e.g., aldehyde reactive probe, ARP) allow targeting carbonyl PTMs by enriching proteins and peptides carrying these modifications. In this study, an oxidized human serum albumin protein model (OxHSA) and plasma from a healthy donor were derivatized with ARP, digested with trypsin, and enriched using biotin-avidin affinity chromatography prior to RPC ESI-MS/MS-TWIMS. The presented workflow addresses several analytical challenges by us-ing ARP specific fragment ions to reliably identify ARP-peptides. Furthermore, the reproducible recovery and relative quantitation of ARP-peptides was validated. HSA in plasma was heavily modified by a variety of direct amino acid oxidation products and adducts from reactive car-bonyl species (RCS) with most RCS modifications were detected in six hotspots, i.e., Lys10, Lys190, Lys199, Lys281, Lys432, and Lys525 of HSA.
Experiment Description
Covalently linked carbonyls from human plasma proteins and an oxidized human serum albumin protein model were derivatized with aldehyde reactive probe (ARP), a biotinylated, carbonyl-specific derivatization reagent. Proteins were digested with trypsin with a FASP procedure and peptide digest was processed with biotin-avidin chromatography. Both peptides in fractions prior to enrichment and in the elution fractions were analyzed with LC-TWIMS-MS/MS with a Q-IMS-TOF instrument (Synapt G2-Si) in DDA mode.
Created on 4/2/21, 2:48 PM
Raw data is available in the PRIDE repository with the accession PXD023738.

Schematic presentation of the analytical workflow applied to plasma samples for ARP-peptide enrichment (left) and the following LC-MS-based analysis from acquisition to data processing (right). Ultrafiltration of blood plasma was applied to simultaneously remove small molecules and reconstitute proteins in acidic conditions (I) to derivatize carbonylated proteins with ARP (II). Proteins were digested with trypsin using a FASP approach (III) and the resulting peptide mixture was split and either mixed with an ARP-labelled digest of a model protein (III.A) or directly enriched by avidin-affinity chromatography (IV). The fractions were submitted to ultrafiltration to remove interfering monomeric avidin (V) and analyzed by nRPC‑ESI‑MS/MS-TWIMS in DDA mode (VI). The generated tandem mass spectra were processed with a hybrid de novo and database search approach (VII) considering specific ARP fragmentation patterns. All proposed ARP-peptides were validated by manual annotation of the mass spectra and considering both drift times in IMS and retention times in RPC (VIII). The filtered peptide list and corresponding peak areas were further processed (IX) to assess recovery, sample preparation workflow reproducibility, and protein carbonyl modification site location.

Experimental setup used to evaluate the enrichment reproducibility (ARP-Plasma:ARP-OxHSA data set; panel a), the matrix interference effects (Plasma:ARP-OxHSA data set; panel b), and the reproducibility of the whole procedure (ARP-Plasma Upscale data set; panel c).

Short descriptions for each of the samples corresponding to the MS files used for all three Skyline Projects in this repository.

 

  Attached Files  
   
 Panorama_sample_list.xlsx

Clustergrammer Heatmap
 
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CalCurve_1ng_withBioReps.sky.zip2024-06-04 21:58:0030616150920
CalCurve_100ng.sky.zip2024-06-04 21:58:002074814814,03410
CalCurve_100ng_withBioReps.sky.zip2024-06-04 21:58:002064734733,96918
CalCurve_10ng_withBioReps.sky.zip2024-06-04 21:57:59741511511,29617
CalCurve_10ng.sky.zip2024-06-04 21:57:59751621611,3689
CalCurve_1ng.sky.zip2024-06-04 21:57:59331401401,1828
Exp_CSF_GPF_A_2024-05-06_21-16-47.sky.zip2024-06-04 11:21:151,8297,3787,37855,0401
2024-05 CSF LIT GPF-MSFragger-3.sky.zip2024-06-04 11:02:501,0825,0956,01940,4016
240207_gpf_2024-06-04_10-24-18.sky.zip2024-06-04 10:26:091,2886,98410,593126,0861
230305_ev2_prm_final_inj1_2024-06-04_07-32-10.sky.zip2024-06-04 07:36:527222,0892,08914,44942
230124_p2_neo_30min_3500targets_opt_trans_pepleveldilution_2024-06-04_06-58-16.sky.zip2024-06-04 07:04:041,0273,5013,50111,42041
CSF_neurod105_assay_individuals_manual_2024-06-03_15-26-36.sky.zip2024-06-03 15:32:081029029026,34537
Exp_CSF_MMCC_quant_all_adjBound_opttrans_nochick_2024-06-03_14-53-02.sky.zip2024-06-03 15:03:571,2058,3748,37424,93427
OT_GPF_PRM_survey_MMCC_boundaries_opttrans_nochick_2024-06-03_14-36-08.sky.zip2024-06-03 14:40:211,2801,9711,9715,80127
LIT_GPF_survey_newAlign_MMCC_boundaries_opttrans_nochick_2024-06-02_15-26-11.sky.zip2024-06-02 15:42:517982,0352,0355,99827
220220_prm_2min_opt_transitions_1overx_2024-05-29_14-25-22.sky.zip2024-05-30 19:11:0817867863,47828
220224_altis_top5_2024-05-17_20-18-34.sky.zip2024-05-30 19:11:0817867863,90628
ecoli_subset_fulllib_refined_2024-05-18_10-16-34.sky.zip2024-05-30 19:07:377772,2312,23128,2612
ecoli_subset_fulllib_2024-05-18_10-07-03.sky.zip2024-05-30 19:07:377772,5002,50831,5382
ecolihela_gpf_2024-05-18_10-05-17.sky.zip2024-05-30 19:07:371,1925,3967,42785,6731
ecoli_small_dilution_adj_bounds_opt_trans_2024-05-18_10-03-15.sky.zip2024-05-30 19:07:373863973971,37845
ecoli_large_dilution_adj_bounds_opt_trans_2024-05-18_10-01-04.sky.zip2024-05-30 19:07:374611,3021,3024,57545
ecoli_small_replicates_2024-05-18_10-00-01.sky.zip2024-05-30 19:07:373863973972,1268
ecoli_large_replicates_2024-05-18_09-59-07.sky.zip2024-05-30 19:07:374611,3021,3027,5248
P1_Neo_60SPD_DilutionCurve_Adjust_Bounds_Opt_Trans_2024-05-29_14-17-24.sky.zip2024-05-30 19:03:585788048043,59455
P1_Neo_100SPD_DilutionCurve_Adjust_Bounds_Opt_Trans_2024-05-29_14-15-58.sky.zip2024-05-30 19:03:585788048043,54255
P1_Neo_60SPD_Replicates_2024-05-29_14-14-47.sky.zip2024-05-30 19:03:585798188187,85710
P1_Neo_100SPD_Replicates_2024-05-29_14-13-46.sky.zip2024-05-30 19:03:585798188187,74010
P1_Neo_60SPD_ToAlign_Refined_2024-05-29_14-12-54.sky.zip2024-05-30 19:03:585798188187,8601
P1_Neo_100SPD_ToAlign_Refined_2024-05-29_14-11-54.sky.zip2024-05-30 19:03:585798188187,7401
P1_Neo_60SPD_Unscheduled_2024-05-16_23-19-22.sky.zip2024-05-30 19:03:5857981881812,1411
P1_Neo_100SPD_Unscheduled_2024-05-16_23-14-13.sky.zip2024-05-30 19:03:5857981881812,1411
ecoli_large_replicates_loaded_refined_2024-05-30_14-02-04.sky.zip2024-05-30 18:19:193669899894,9408
ecoli_large_replicates_loaded_2024-05-30_14-00-59.sky.zip2024-05-30 18:19:194611,3021,3027,5248
ecoli_large_replicates_2024-05-30_14-00-05.sky.zip2024-05-30 18:19:194611,3021,3027,5240
ecoli_subset_replicates_refined_cv_2024-05-30_13-58-18.sky.zip2024-05-30 18:19:197592,2662,26612,8072
ecoli_subset_replicates_refined_2024-05-30_13-57-25.sky.zip2024-05-30 18:19:197592,4372,43713,6022
ecoli_subset_replicates_2024-05-30_13-56-16.sky.zip2024-05-30 18:19:197592,4372,44130,8572
gpf_results_importer_2024-05-30_13-54-14.sky.zip2024-05-30 18:19:191,1925,3967,42785,6731
gpf_results_manual_2024-05-30_13-52-23.sky.zip2024-05-30 18:19:191,1925,3967,42785,6731
pq500_100spd_plasma_final_lightheavy_replicates_2024-05-30_13-50-10.sky.zip2024-05-30 18:16:015798181,62213,69910
pq500_60spd_plasma_final_lightheavy_replicates_2024-05-30_13-48-26.sky.zip2024-05-30 18:16:015798181,62213,87610
pq500_100spd_plasma_final_replicates_2024-05-30_13-47-38.sky.zip2024-05-30 18:16:015798188187,08110
pq500_60spd_plasma_final_replicates_2024-05-30_13-46-43.sky.zip2024-05-30 18:16:015798188186,97710
pq500_100spd_plasma_multireplicate_results_refined_2024-05-30_13-46-07.sky.zip2024-05-30 18:16:015798188187,0811
pq500_60spd_plasma_multireplicate_results_refined_2024-05-30_13-45-40.sky.zip2024-05-30 18:16:015798188186,9771
pq500_100spd_plasma_multireplicate_results_2024-05-30_13-45-07.sky.zip2024-05-30 18:16:015798188187,6512
pq500_60spd_plasma_multireplicate_results_2024-05-30_13-44-21.sky.zip2024-05-30 18:16:015798188187,6012
pq500_100spd_neat_multireplicate_results_refined_2024-05-30_13-43-42.sky.zip2024-05-30 18:16:015798188187,6891
pq500_60spd_neat_multireplicate_results_refined_2024-05-30_13-43-05.sky.zip2024-05-30 18:16:015798188187,6011
pq500_100spd_neat_multireplicate_results_2024-05-30_13-42-26.sky.zip2024-05-30 18:16:0157981881811,0881
pq500_60spd_neat_multireplicate_results_2024-05-30_13-41-26.sky.zip2024-05-30 18:16:0157981881811,0881
pq500_60spd_neat_multireplicate_2024-05-30_13-40-53.sky.zip2024-05-30 18:16:0157981881811,0880
Coho SRM for panorama_2024-05-21_11-24-52.sky.zip2024-05-21 22:55:503799993,17662
figure2_PRM_system_suitability_2024-05-16_12-43-59.sky.zip2024-05-15 22:46:1921717189133
20240429_OG_Dataset6.sky.zip2024-05-15 12:50:14101935791
20240429_OG_Dataset6_filtered.sky.zip2024-05-15 12:50:1410802401
20240429_U87MGNG_Dataset4_filtered.sky.zip2024-05-15 12:50:1410471411
20240429_U87MGNG_Dataset4.sky.zip2024-05-15 12:50:14104891,4671
20240429_PermFet_Dataset3_filtered.sky.zip2024-05-15 12:50:14103761,1281
20240429_Fetuin_Dataset1.sky.zip2024-05-15 12:50:14102407201
20240429_GSL_Dataset5_2024-05-01.sky.zip2024-05-15 12:50:14102928761
20240429_GSL_Dataset5_filtered.sky.zip2024-05-15 12:50:1410772311
20240429_CSFNG_Dataset2_2024-05-01.sky.zip2024-05-15 12:50:14101,4804,4401
20240429_CSFNG_Dataset2_filtered.sky.zip2024-05-15 12:50:141016481
20240429_PermFet_Dataset3.sky.zip2024-05-15 12:50:14103,37010,1101
20240429_Fetuin_Dataset1_filtered.sky.zip2024-05-15 12:50:141029871
IO3_library_tissue_v01D.sky.zip2024-05-08 08:09:52224121
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
CRBN_neosubstrate_rabbit_embryo_IMiD_enriched_top_transition_2024-03-11_17-39-14.sky.zip2024-03-12 20:53:131116323248
Reverse_curve_unenriched_top_transition_2024-03-11_14-47-12.sky.zip2024-03-12 20:53:131920404030

Mass shifts and proposed structures of all derivatized carbonyl modifications considered in this study.

 

Note: for "Mass search" of modified peptides with modifications from table round up mass shifts to first decimal.

 

  Attached Files  
   
 Table S1.xlsx