Biology subjects

Mao, P.-Z.

Publications and source records attributed to Mao, P.-Z..

4 recordsLinked to original sources

bioRxiv2026

Enhancing the Identification of NHS Ester-Mediated Lysine-Cysteine Cross-Linking via Reduced Trypsin Digestion Time

Abstract Chemical cross-linking mass spectrometry (XL-MS) is a powerful technique for elucidating protein structures and interactions, with NHS ester-based cross-linkers being the most widely used. Traditionally, NHS esters are considered highly specific for primary amines; although their reactivity toward cysteine thiols has been reported, it has not been systematically characterized in XL-MS due to the extreme lability of the resulting thioester bonds. Here, we demonstrate that NHS esters efficiently label cysteine residues and form stable lysine-cysteine (K-C) cross-links--species previously deemed labile in XL-MS. To preserve these thioester-based cross-linked sites , we optimized the standard XL-MS workflow and applied it to four model proteins. K-C cross-links constitute 23% to 59% of total detected cross-links, with C-C distances predominantly ranging from 12 to 40 [A], and 60% satisfying theoretical linker constraints -- confirming that K-C cross-links are as reliable as canonical lysine-lysine (K-K) cross-link sites. Cross-software validation and benchmarking against the heterobifunctional K-C cross-linker GMBS further demonstrated that our optimized workflow captures ~ 40% of GMBS-identified K-C cross-linked sites. Collectively, these findings expand the practical utility of NHS esters and enhance protein structural characterization by enabling simultaneous acquisition of K-K and K-C distance constraints.

biochemistry↗

bioRxiv2025

Improved identification of peptides, cross-link sites, and modification sites by Target-enhanced Accurate Inclusion Mass Screening (TAlMS)

Chemical cross-linking of proteins coupled with mass spectrometry provides structural insights by identifying cross-linked peptide pairs, abbreviated as cross-links. Presently, cross-link identification suffers from ambiguity and poor sensitivity, because they are typically of lower abundance and consequently of lower MS2 quality than linear peptides present in the same sample. Here, we present Target-enhanced Accurate Inclusion Mass Screening (TAIMS), a meticulously optimized targeted mass spectrometry method. TAIMS significantly improved the quality of MS2 as indicated by fragment ion coverage (FIC) and other metrics. From data-dependent acquisition (DDA) to TAIMS, high-FIC cross-links increased by 401 or 678 on yeast ribosome or E. coli lysate, respectively, or from about 40% to around 90%. As a result, TAIMS substantially enhanced the accuracy of cross-link site localization and mitigated sensitivity loss in cross-link identification from large database searches. Enhanced identification sensitivity of TAIMS is further evidenced by its capacity to recover genuine cross-link identifications from data that would typically be discarded. On cross-linked E. coli lysate, 10.5% (284/2711) of the inclusion-list entries generated from unidentified cross-link-spectrum matches gained identity through TAIMS. Of these, 230 were linear peptides and 54 were cross-links, including 10 inter-molecular cross-links missed entirely by DDA. Additionally, we demonstrate that TAIMS is a general method for identification of low-abundance, post-translationally modified peptides. On a mouse brain sample, TAIMS increased the number of phosphopeptides identified with accurate phosphosite assignment by 67%. These findings indicate that TAIMS holds broad applicability in proteomics.

biochemistry↗

bioRxiv2025

Accurate and Fast Protein Acylation Identification by Eliminating Position Effects of Cyclic Immonium Ions with Stepped HCD

Mass spectrometry (MS)-based proteomics is indispensable for studying post-translational modifications (PTMs). Cyclic immonium (CycIm) ions serve as invaluable diagnostic markers for lysine acylations, yet the principles governing their generation efficiency are poorly understood. Here, we systematically investigate this question and uncover a robust "position effect": the generation of immonium ions is strongly favored when the modified residue is located near the N-terminus of a tryptic peptide. Utilizing LysargiNase digestion and isotope-labeled synthetic peptides, we demonstrate that this effect is likely driven by the inherent instability of b-type fragment ions during collision-induced dissociation. Furthermore, we show that a stepped HCD strategy enables enhanced sequence coverage and robust CycIm ion detection ([~]99%), thereby improving the depth, reliability and speed of PTM identification. Collectively, this work provides fundamental understanding of immonium ion formation and establishes an optimized acquisition and analysis strategy that enhances the efficiency and confidence of PTM analysis.

biochemistry↗

bioRxiv2023

Comparative analysis of chemical cross-linking mass spectrometry data indicates that protein STY residues rarely react with N-hydroxysuccinimide ester cross-linkers

Chemical cross-linking of proteins coupled with mass spectrometry (CXMS) has enjoyed growing popularity in biomedical research. Most CXMS experiments utilize cross-linkers based on N-hydroxysuccinimide (NHS) ester, which react selectively with the amine groups found on the free N-termini of proteins and on the side chain of lysine (K) residues. It is also reported that under certain conditions they can react with the hydroxyl groups of serine (S), threonine (T), and tyrosine (Y). Some of the popular cross-link search engines including MeroX and xiSearch set STY, in addition to K, as cross-linkable sites by default. However, to what extent NHS ester cross-linkers react with STY under the typical CXMS experimental conditions remains unclear, nor has the reliability of STY-cross-link identifications. Here, by setting amino acids with chemically inert side chains such as glycine (G), valine (V), and leucine (L) as cross-linkable sites, which serves as a negative control, we show that software-identified STY-cross-links are only as reliable as GVL-cross-links. This is true across different NHS ester cross-linkers including DSS, DSSO, and DSBU, and across different search engines including MeroX, xiSearch, and pLink. Using a published dataset originated from synthetic peptides, we demonstrate that STY-cross-links indeed have a high false discovery rate. Further analysis revealed that depending on the data and the CXMS search engine used to analyze the data, up to 65% of the STY-cross-links identified are actually K-K cross-links of the same peptide pairs, up to 61% are actually K-mono-links, and the rest tend to contain short peptides at high risk of false identification.

biochemistry↗