BrIS: Visualizing Internal Standards at the MS1 Level via Bromine Fingerprint for Sensitive and Robust Proteomics Quality Control

Data fidelity in mass spectrometry (MS)-based proteomics demands stringent quality control, for which spiking internal standards into biological samples is a straightforward practice. Yet, conventional internal-standard tracking relies on MS/MS-dependent identification, which can be unavailable or unreliable under challenging analytical conditions. Herein, we introduce a suite of Brominated Internal Standards (BrIS) and a tailored scanning algorithm, BrScan-MS1, which exploits bromine isotopic fingerprints and conserved elution order of BrIS peptides to directly track them at the MS1 level and enable reliable retention time (RT) assignment. Across a DDA dilution series, BrScan-MS1 recognized all BrIS peptides in every BrIS-spiked replicate and provided consistent RT assignments. In long-term DIA analyses using a plasma matrix, BrIS showed greater RT stability and quantitative consistency than iRT peptides and enabled sensitive tracking of instrumental drift. Cross-platform analyses demonstrated robust BrIS-based RT calibration of endogenous peptides across LC-MS platforms. In single-cell proteomics involving three cell lines, BrIS enabled reliable tracking at low sample inputs while largely maintaining cell-line-specific proteomic patterns and showed a modest tendency to better preserve control-derived differential-expression patterns than iRT peptides. Together, BrIS and BrScan-MS1 provide a practical approach for quality control across diverse proteomics settings ranging from complex matrices to ultra-low-input samples.

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Publication Details

Journal
Angewandte Chemie International Edition
Published
2026-09-15
DOI
https://doi.org/10.1002/anie.1708018
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

BrIS: Visualizing Internal Standards at the MS1 Level via Bromine Fingerprint for Sensitive and Robust Proteomics Quality Control

Haoru Song, Chenxin Li, Ying Zhang, Guoli Wang et al.
Angewandte Chemie International Edition
Advanced Proteomics Techniques and Applications
article

BrIS: Visualizing Internal Standards at the MS1 Level via Bromine Fingerprint for Sensitive and Robust Proteomics Quality Control

Haoru Song, Chenxin Li, Ying Zhang, Guoli Wang, Bin Fu, Jiale Li, Chong Li, Jiawei Fan, Haojie Lu
article en

Abstract

Data fidelity in mass spectrometry (MS)-based proteomics demands stringent quality control, for which spiking internal standards into biological samples is a straightforward practice. Yet, conventional internal-standard tracking relies on MS/MS-dependent identification, which can be unavailable or unreliable under challenging analytical conditions. Herein, we introduce a suite of Brominated Internal Standards (BrIS) and a tailored scanning algorithm, BrScan-MS1, which exploits bromine isotopic fingerprints and conserved elution order of BrIS peptides to directly track them at the MS1 level and enable reliable retention time (RT) assignment. Across a DDA dilution series, BrScan-MS1 recognized all BrIS peptides in every BrIS-spiked replicate and provided consistent RT assignments. In long-term DIA analyses using a plasma matrix, BrIS showed greater RT stability and quantitative consistency than iRT peptides and enabled sensitive tracking of instrumental drift. Cross-platform analyses demonstrated robust BrIS-based RT calibration of endogenous peptides across LC-MS platforms. In single-cell proteomics involving three cell lines, BrIS enabled reliable tracking at low sample inputs while largely maintaining cell-line-specific proteomic patterns and showed a modest tendency to better preserve control-derived differential-expression patterns than iRT peptides. Together, BrIS and BrScan-MS1 provide a practical approach for quality control across diverse proteomics settings ranging from complex matrices to ultra-low-input samples.

Angewandte Chemie International Edition
Fudan University (CN)
Fudan University, National Key Research and Development Program of China, Fundamental Research Funds for the Central Universities, Shanghai Medical College, Fudan University
Openalex Percentile: Top 22%
Advanced Proteomics Techniques and Applications
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