Hiring in life sciences? Share your open positions with our professional community. Read more Close

Advertisement

Tandem MICROFASP Method-Enabled High-Sensitivity In Vivo Cross-Linking Mass Spectrometry Analysis of Low-Cell-Number Samples without Enrichment.

Created on 18 Jul 2026

Authors

Yu He, Yang Li, Rong Liu, Keqi Tang, Zhengyan Hu, Zhenbin Zhang

Published in

Analytical chemistry. Jul 17, 2026. Epub Jul 17, 2026.

Abstract

Cross-linking mass spectrometry (XL-MS) has emerged as an indispensable tool for dissecting protein conformations and protein-protein interactions (PPIs) within native biological systems. However, conventional in vivo XL-MS workflows suffer from significant sample loss during sample preparation, necessitating large input quantities of the starting material and fundamentally limiting their widespread applicability to mass-limited samples. Herein, we report the development of a tandem MICROFASP platform that uniquely integrates in vivo chemical cross-linking with seamless in situ sample preparation to drastically minimize sample loss throughout the entire workflow. Using disuccinimidyl suberate (DSS) as a model cross-linker, we systematically optimized all critical experimental parameters, including cross-linking reaction duration, lysis buffer formulation, and mass spectrometry data acquisition conditions. Without any pre-enrichment, we identified 517 intercross-linked peptides from just 10,000 K562 cells, a 3.5-fold increase relative to the state-of-the-art result with enrichment reported to date. Notably, 318 cross-linked peptides were identified from only 2500 living K562 cells. Structural mapping and PPI network analysis confirmed the validity of the identified cross-links, with over 97% of the cross-linked sites falling within the distance constraint of the DSS. This tandem MICROFASP method resolves the long-standing sensitivity limitation of in vivo XL-MS in low-cell-number samples, paving the way for systematic analysis of protein conformations and dynamic PPIs in clinical biopsies and the tumor microenvironment.

PMID:
42467932
Bibliographic data and abstract were imported from PubMed on 18 Jul 2026.

Read full publication at:
Please sign in to see all details.

Advertisement

Stats

  • Community rating n/a 0 votes
  • Reviewers' rating n/a 0 votes
  • Your rating

1-terrible, 9-excellent. How would you rate this publication? Sign in in to submit your rating.

  • Recommendations n/a n/a positive of 0 vote(s)
  • Views 3
  • Comments 0

Recommended by

  • No recommendations yet.

Post a comment

You need to be signed in to post comments. You can sign in here.

Comments

There are no comments yet.

Advertisement