SysQuan: Repurposing SILAC Mice for the Cost-Effective Absolute Quantitation of the Human Proteome

Relative quantitation, used by most mass spectrometry-based proteomics laboratories to determine protein fold-changes, requires samples being processed and analyzed together for best comparability through minimizing batch differences. This limits the adoption of mass spectrometry-based proteomics in population-wide studies and the detection of subtle but relevant changes in heterogeneous samples. Absolute quantitation circumvents these limitations and enables comparison of results across laboratories, studies, and over time. However, high cost of the essential stable isotope labeled (SIL) standards prevents widespread access and limits the number of quantifiable proteins. Our new approach, called "SysQuan", repurposes SILAC mouse tissues/biofluids as system-wide internal standards for matched human samples to enable absolute quantitation of, theoretically, two-thirds of the human proteome using 157,086 shared tryptic peptides, of which 73,901 with lysine on the c terminus. We demonstrate that SysQuan enables quantification of 70% and 31% of the liver and plasma proteomes, respectively. We demonstrate for 14 metabolic proteins that abundant SIL mouse tissues enable cost-effective reverse absolute quantitation in, theoretically, 1000s of human samples. Moreover, 10,000s of light/heavy doublets in untargeted SysQuan datasets enable unique postacquisition absolute quantitation. SysQuan empowers researchers to replace relative quantitation with affordable absolute quantitation at scale, making data comparable across laboratories, diseases and tissues, enabling completely novel study designs and increasing reusability of data in repositories.

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Publication Details

Journal
Molecular & Cellular Proteomics
Published
2025-04-18
DOI
https://doi.org/10.1016/j.mcpro.2025.100974
Citations
2
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
1.51
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article

SysQuan: Repurposing SILAC Mice for the Cost-Effective Absolute Quantitation of the Human Proteome

Ying Lao, Wolfgang Kleinekofort, René P. Zahedi, Robert L. Popp et al.
2 citations
Molecular & Cellular Proteomics
Advanced Proteomics Techniques and Applications
1.51
article

SysQuan: Repurposing SILAC Mice for the Cost-Effective Absolute Quantitation of the Human Proteome

Ying Lao, Wolfgang Kleinekofort, René P. Zahedi, Robert L. Popp, Vincent R. Richard, Claudia Gaither, Victor Spicer, Christoph H. Borchers, Yassene Mohammed, M. Immanuel Reyes Madlangsakay, Laura Hennecken
article en
2 citations

Abstract

Relative quantitation, used by most mass spectrometry-based proteomics laboratories to determine protein fold-changes, requires samples being processed and analyzed together for best comparability through minimizing batch differences. This limits the adoption of mass spectrometry-based proteomics in population-wide studies and the detection of subtle but relevant changes in heterogeneous samples. Absolute quantitation circumvents these limitations and enables comparison of results across laboratories, studies, and over time. However, high cost of the essential stable isotope labeled (SIL) standards prevents widespread access and limits the number of quantifiable proteins. Our new approach, called "SysQuan", repurposes SILAC mouse tissues/biofluids as system-wide internal standards for matched human samples to enable absolute quantitation of, theoretically, two-thirds of the human proteome using 157,086 shared tryptic peptides, of which 73,901 with lysine on the c terminus. We demonstrate that SysQuan enables quantification of 70% and 31% of the liver and plasma proteomes, respectively. We demonstrate for 14 metabolic proteins that abundant SIL mouse tissues enable cost-effective reverse absolute quantitation in, theoretically, 1000s of human samples. Moreover, 10,000s of light/heavy doublets in untargeted SysQuan datasets enable unique postacquisition absolute quantitation. SysQuan empowers researchers to replace relative quantitation with affordable absolute quantitation at scale, making data comparable across laboratories, diseases and tissues, enabling completely novel study designs and increasing reusability of data in repositories.

Molecular & Cellular ProteomicsVol. 24(6)
Jewish General Hospital (CA), Research Manitoba (CA), Cegep de Saint Hyacinthe (CA), CancerCare Manitoba (CA), Abterra Biosciences (United States) (US), University of Manitoba (CA), RheinMain University of Applied Sciences (DE), Université de Montréal (CA)
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Openalex Percentile: Top 20%
Advanced Proteomics Techniques and Applications
1.51
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