Advancing cross-linking mass spectrometry to elucidate cellular networks

Advancing cross-linking mass spectrometry to elucidate cellular networks

🎙 Lan Huang 👥 2K 📅 November 13, 2025 ⏱ 50 min 👁 245 📄 original study 🧭 2026-08-15
Available in: English (current) Français

Keywords

XL-MSprotein interaction networksDSSODSPSOgastric cancer

Summary

Dr. Lan Huang presents her laboratory’s work on advancing cross-linking mass spectrometry (XL-MS) to study protein-protein interactions (PPIs) in cellular networks. She begins by highlighting the importance of PPIs in cellular processes and disease, and the limitations of traditional affinity-based methods. Her lab has developed MS-cleavable cross-linkers, such as DSSO and DSPSO, which enable efficient identification of cross-linked peptides. These tools have been applied to map PPIs in HEK293 cells and clinical samples, including breast cancer PDX models and gastric cancer tissues. Using a TMT-based multiplexed quantitative approach, they identified thousands of cross-links and revealed stage-specific interaction rewiring in gastric cancer. The data show that changes in PPIs do not always correlate with protein abundance, providing additional insights. They also identified novel interactions and potential therapeutic targets. Furthermore, they are expanding the technology to cysteine-reactive cross-linkers and multi-linker reagents to cover more of the proteome and characterize multimeric complexes. The presentation underscores the potential of XL-MS to uncover disease-relevant protein networks and inform therapeutic strategies.

165 words

Critical Evaluation

Value of the Information & Strength of the Argument

The presentation provides substantial value by showcasing novel XL-MS technologies and their applications to clinically relevant samples. The argumentation is solid, grounded in experimental data and published studies. The speaker clearly explains the technical challenges and how their innovations address them, such as the development of MS-cleavable cross-linkers to simplify peptide identification. The use of TMT labeling for quantitative analysis is well-justified, and the presentation of stage-dependent interaction changes in gastric cancer is compelling. The argument that XL-MS provides information beyond protein abundance is supported by examples where interaction changes occur without corresponding expression changes. The inclusion of unpublished data from the CPTAC project adds novelty but also introduces some uncertainty. Overall, the value is high, and the argumentation is coherent and evidence-based.

Scientific Rigor, Source Quality, Title Accuracy

The scientific rigor is high, with detailed methodological descriptions and references to published work. The speaker cites her own publications and collaborations, such as the Nature Cancer paper on AML. However, specific citations are not explicitly listed in the video, and the description lacks direct links to sources. The title accurately reflects the content, focusing on advancements in XL-MS and their application to cellular networks. The presentation is well-structured and technically sound, though some data are unpublished and thus not yet peer-reviewed. The adequacy between title and content is good, with no significant mismatch.

232 words

Title / Content Match

The title accurately reflects the content, focusing on advancements in cross-linking mass spectrometry and its application to cellular networks.

Quality & Reliability

8/10

The presentation is based on peer-reviewed research and includes detailed methodological descriptions, but it is a webinar with limited external verification and some unpublished data.

Key Moments

Cited Sources

  • Nature Cancer publication on AML integrin conformation — Mentioned as a collaborative work with Professor Aron Wita's lab at UCSF, published in Nature Cancer.

Concurring Sources

  • Nature Cancer publication on AML integrin conformation — Mentioned as a collaborative work with Professor Aron Wita's lab at UCSF, published in Nature Cancer.

Contribution & Novelties

The presentation highlights several novel contributions: the development of MS-cleavable cross-linkers (DSSO, DSPSO) that simplify identification, the application of XL-MS to clinical samples for disease-specific interaction mapping, and the integration of TMT-based quantitation for multiplexed analysis. The work on gastric cancer provides a resource for understanding stage-dependent rewiring of protein interaction networks. Additionally, the development of cysteine-reactive and multi-linker cross-linkers expands the coverage of the proteome and enables characterization of multimeric complexes.

Pour aller plus loin :

108 words

Radar Profile

The radar profile shows high scores in technical level and information quality, reflecting the advanced methodology and detailed data presented. The fiabilite_globale is also high, though slightly lower due to some unpublished results. The quantite_information is substantial, but the presentation could benefit from more explicit citations.

Reliability 8/10