A Novel Lithium Ion-Assisted TPP Approach for Enhanced Target Discovery

Traditional thermal proteome profiling (TPP) suffers from limitations in detecting membrane and weakly bound proteins, potentially overlooking up to 20% of drug targets. To overcome this, we developed a lithium ion-assisted TPP (Li-TPP) method that significantly enhances protein thermal stability detection. Li-TPP successfully captured thermal shifts in weakly bound proteins like lactate dehydrogenase A (LDHA) and resolved changes within NMDA receptor complexes. Compared to traditional TPP, Li-TPP identified 718 additional proteins (R<sup>2</sup> > 0.8, min_slope ≤ -0.06) and significantly increased thermal displacement values (ΔTm ≥ 1.5 °C) in 368 coidentified proteins. Importantly, Li-TPP identified known mania-associated targets like GSK3β as well as novel regulatory proteins such as CRMP2. Functional enrichment analysis revealed that Li-TPP-identified proteins were significantly enriched in pathways critical to bipolar disorder, including microtubule dynamics (MT3 complex), synaptic plasticity (NMDA receptor assemblies), and energy metabolism (ATP-binding proteins). This provides mechanistic insights into lithium's therapeutic action, highlighting its role in stabilizing neuronal energy homeostasis and microtubule architecture. This study demonstrates Li-TPP's superior performance in detecting challenging protein targets and provides a powerful new platform for elucidating drug mechanisms and accelerating the development of multitarget therapeutics for bipolar disorder.

Authors

Institutions

Publication Details

Journal
Analytical Chemistry
Published
2025-11-28
DOI
https://doi.org/10.1021/acs.analchem.5c04876
Citations
1
Primary Topic
Advanced Proteomics Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.76
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Novel Lithium Ion-Assisted TPP Approach for Enhanced Target Discovery

Yiying Wu, Dezhi Kong, Qian Wang, Panpan Zhang et al.
1 citations
Analytical Chemistry
Advanced Proteomics Techniques and Applications
0.76
article

A Novel Lithium Ion-Assisted TPP Approach for Enhanced Target Discovery

Yiying Wu, Dezhi Kong, Qian Wang, Panpan Zhang, Yuting Chen, Yan Ma, Yuyu Zhang, Wei Zhang, Jingwen Yan
article en
1 citations

Abstract

Traditional thermal proteome profiling (TPP) suffers from limitations in detecting membrane and weakly bound proteins, potentially overlooking up to 20% of drug targets. To overcome this, we developed a lithium ion-assisted TPP (Li-TPP) method that significantly enhances protein thermal stability detection. Li-TPP successfully captured thermal shifts in weakly bound proteins like lactate dehydrogenase A (LDHA) and resolved changes within NMDA receptor complexes. Compared to traditional TPP, Li-TPP identified 718 additional proteins (R<sup>2</sup> > 0.8, min_slope ≤ -0.06) and significantly increased thermal displacement values (ΔTm ≥ 1.5 °C) in 368 coidentified proteins. Importantly, Li-TPP identified known mania-associated targets like GSK3β as well as novel regulatory proteins such as CRMP2. Functional enrichment analysis revealed that Li-TPP-identified proteins were significantly enriched in pathways critical to bipolar disorder, including microtubule dynamics (MT3 complex), synaptic plasticity (NMDA receptor assemblies), and energy metabolism (ATP-binding proteins). This provides mechanistic insights into lithium's therapeutic action, highlighting its role in stabilizing neuronal energy homeostasis and microtubule architecture. This study demonstrates Li-TPP's superior performance in detecting challenging protein targets and provides a powerful new platform for elucidating drug mechanisms and accelerating the development of multitarget therapeutics for bipolar disorder.

Analytical ChemistryVol. 97(48)
Hebei Medical University (CN), State Administration of Traditional Chinese Medicine of the People's Republic of China (CN), Second Hospital of Hebei Medical University (CN), Hebei University of Chinese Medicine (CN), Integrative Medicine Institute (US), CM Hospital (KR), Instituto Medicina Integrativa (Portugal)
Openalex Percentile: Top 23%
Advanced Proteomics Techniques and Applications
0.76
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.