Analytical and Bioanalytical ChemistryBiochemistryPeer-reviewed journal article
Next-Generation Protein Sequencing and individual ion mass spectrometry enable complementary analysis of interleukin-6
Kenneth A. SkinneriD, Troy D. FisheriD, Andrew LeeiD, Taojunfeng SuiD, Eleonora ForteiD, Aniel SáncheziD, Michael A. CaldwelliD, Neil L. KelleheriD
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Abstract
The vast complexity of the proteome currently overwhelms any single analytical technology in capturing the full spectrum of proteoform diversity. In this study, we evaluated the complementarity of two cutting-edge proteomic technologies--single-molecule protein sequencing and individual ion mass spectrometry--for analyzing recombinant human IL-6 (rhIL-6) at the amino acid, peptide, and intact proteoform levels. For single-molecule protein sequencing, we employ the recently released Platinum(R) instrument. Next-Generation Protein Sequencing (NGPS) on Platinum utilizes cycles of N-terminal amino acid recognizer binding and aminopeptidase cleavage to enable parallelized sequencing of single peptide molecules. We found that NGPS produces single amino acid coverage of multiple key regions of IL-6, including two peptides within helices A and C which harbor residues that reportedly impact IL-6 function. For top-down proteoform evaluation, we use individual ion mass spectrometry (I2MS), a highly parallelized orbitrap-based charge detection MS platform. Single ion detection of gas-phase fragmentation products (I2MS2) gives significant sequence coverage in key regions in IL-6, including two regions within helices B and D that are involved in IL-6 signaling. Together, these complementary technologies deliver a combined 52% sequence coverage, offering a more complete view of IL-6 structural and functional diversity than either technology alone. This study highlights the synergy of complementary protein detection methods to more comprehensively cover protein segments relevant to biological interactions. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=114 SRC="FIGDIR/small/637157v1_ufig1.gif" ALT="Figure 1"> View larger version (39K): org.highwire.dtl.DTLVardef@82d72aorg.highwire.dtl.DTLVardef@1fc39f3org.highwire.dtl.DTLVardef@40a677org.highwire.dtl.DTLVardef@70f6c3_HPS_FORMAT_FIGEXP M_FIG C_FIG
- organism: human
- assay: proteomics
- research focus: protein folding & dynamics
- approach: deep learning
- approach: statistical model
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