U of Leipzig AG Bioanalytics - Carbonylation in Rheumatoid Arthritis

Screening of protein carbonylation sites in human serum by ion mobility mass spectrometry
Data License: CC BY 4.0 | ProteomeXchange: PXD058666 | doi: https://doi.org/10.6069/w1vq-ft51
  • Organism: Homo sapiens
  • Instrument: SYNAPT G2-Si
  • SpikeIn: No
  • Keywords: Carbonylation; aldehyde reactive probe (ARP); ion mobility spectrometry; DDA; DIA; human serum
  • Lab head: Ralf Hoffmann Submitter: Juan Camilo Rojas Echeverri
Abstract
Excessive oxidative stress, which is associated with several diseases, can trigger oxidative protein modifications, including protein carbonylation, which refers to the oxidative formation of aldehyde or keto groups in proteins. The structural diversity of these non-enzymatic reactive carbonyl groups and their low abundance pose a significant challenge to their detection and quantitation. Here, we report a strategy to identify and quantify protein carbonylation in human serum samples from 39 patients diagnosed with rheumatoid arthritis and 29 healthy donors. Reactive carbonyl groups were derivatized with aldehyde reactive probe (ARP), digested with trypsin, enriched via the biotin in ARP by avidin affinity chromatography, and analyzed by RP-HPLC-ESI-IMS-MS/MS. Ion mobility spectrometry (IMS) was used in both data dependent and independent acquisition (DDA/DIA) modes. DDA was used to generate spectral libraries of ARP-derivatized carbonylated peptides (ARP-peptides), which were used for their peptide-centric detection in DIA data. This allowed the identification of 86 manually confirmed ARP-peptides that were consistently detected in the serum samples, with 93.8% of all peak areas having a signal-to-background ratio greater than 3. Of the 32 carbonylation sites identified, 28 belonged to human serum albumin, including residues Cys58, Lys214, Lys219, Lys223, Lys456, Lys543, Lys549, and Lys565, which were identified as hotspots with multiple modification types. To the best of our knowledge, six previously unreported species were identified at these hotspots based on IMS, DIA, ARP-reporter ions, and de-novo sequencing. The 86 identified carbonylated peptides were consistently quantified in serum quality controls samples with an intra-batch reproducibility of at least 75%, considering an area coefficient of variation (CV) of less than 20%. All studied modifications were present at similar levels in patient and control samples, suggesting basal disease-independent modification levels for the selected modification within the accuracy of the quantitation.
Experiment Description
Covalently bound carbonyls from human serum proteins were derivatized with the Aldehyde Reactive Probe (ARP), a biotinylated, carbonyl-specific derivatization reagent. Proteins were derivatized and then digested in ultrafiltration units using a modified FASP procedure. The peptide digest was enriched for ARP-derivatized peptides by avidin chromatography. The initial digest and avidin chromatography elution fractions were analyzed by LC-TWIMS-MS/MS using a Q-IMS-TOF instrument (Synapt G2-Si) in DDA and broadband DIA modes with ion mobility spectrometry (IMS). DDA was used to generate spectral libraries of modified peptides and DIA was used for relative quantitation of ARP-derivatized carbonylated peptides.
Sample Description
Serum samples were collected from 39 patients (30 females and 9 males) fulfilling the ACR/EULAR 2010 classification criteria for rheumatoid arthritis recruited from the Rheumatology Clinic (Leipzig University, Germany). Age-matched serum samples were collected from 29 healthy blood donors (control, 16 females and 13 males).
Created on 12/7/24, 7:08 PM

Sample design (top panel): Donor samples from 39 rheumatoid arthritis (RA) patients and 29 healthy individuals (control, Ctrl) were block randomized into two batches based on gender and disease classification. Equal aliquots of all serum samples were mixed (serum pool) to prepare three sample replicates for each batch (sample preparation quality controls, SPQCs). An additional aliquot was added to each batch and prepared in parallel with all other samples, but without the addition of ARP (negative control).

Sample preparation using a modified FASP protocol (middle panel): Serum samples containing 2.0 mg of protein were derivatized with ARP, ultra-filtered (10 kDa cutoff) and digested with trypsin. An aliquot (50 µg protein) was taken for analysis and the remaining sample was enriched by avidin affinity chromatography. Aliquots from each fraction were combined as matrix-specific LC-MS run quality controls (RQCs) to monitor instrumental drift. Additional cohort-specific enriched digest pools, the Ctrl pool and the RA pool, were prepared from the enriched fractions.

Data acquisition (bottom panel): RQCs and the enriched Ctrl and RA pools were analyzed by two DDA methods using precursor ion preference lists to generate DDA spectral libraries of ARP peptides. In addition, ARP peptides identified in the ProteomeXchange data set deposited as PXD023738 were cross-referenced based on their iRT. For quantitative interrogation, RQCs, SPQCs, NCs, and individual RA and Ctrl samples were measured using UDMSE. Initial DDA measurements were used to condition the system, followed by SPQCs from Batch #1 (B1) and Batch #2 (B2). Next, all donor samples from B1 and B2 were measured, interspersed with RQCs every 10 samples.

Clustergrammer Heatmap
 
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ARP-Serum_RA_enriched_DDA_preFiltering_2024-11-30_21-00-26.sky.zip2024-12-07 18:43:29791,0181,1338,881870
ARP-Serum_RA_NonEnriched_clinical_filtered_2024-11-30_20-30-58.sky.zip2024-12-07 18:43:29224505285,579102450
ARP-Serum_RA_enriched_filtered_2024-11-30_20-01-07.sky.zip2024-12-07 18:43:29141271471,2141550
PXD002966_lc-BHZ_Plasma_2024-03-24_14-42-16.sky.zip2024-12-07 18:43:29656047492,96340

This study included data re-analysis from public datasets available under the following ProteomeXchange identifiers:

 

PXD023738: A workflow towards the reproducible identification and quantitation of protein carbonylation sites in human plasma 

PXD002966: OXIPEP: mass spectrometry strategy to characterize protein carbonylation

Data outputs from PEAKS, Skyline, and mgfHunter have been analyzed and visualized with R. All analysis steps have been documented in an RNotebook. The notebook and all required data deposited in the "Supplementary Files" tab of this repository.