A Small Molecule Drug-Based Ru(II) Polypyridine Mass-Tag for Multimodal Imaging of Tissue Samples

Mass spectrometry imaging (MSI) is a powerful tool for spatially resolved multiomics analysis of tissue samples in clinical research. However, its proteomics application is still limited due to challenges such as low ionization efficiency and signal interference from complex tissue environments. On-tissue mass-tag labeling (OTMT) addresses these limitations using affinity-based imaging agents that incorporate cleavable, highly ionizable reporter groups known as mass-tags (MTs). The majority of existing MTs rely on antibodies as targeting elements and organic moieties as reporter groups. Here, we introduce a new class of MTs featuring small-molecule inhibitors as binding motifs. Specifically, we present <b>PARPi-MT</b>, composed of a photocleavable and luminescent Ru-(II)-based reporter and the poly-(ADP-ribose) polymerase (PARP) inhibitor Olaparib for the targeted bimodal imaging of PARP1 in H446 xenograft tumor and mouse brain sections, via desorption electrospray ionization (DESI)-MSI and fluorescence microscopy. Using small-molecule inhibitors as binding motifs expands the design versatility and potential applications of OTMT, while overcoming some of the challenges of antibody-based mass-tags. The Ru-(II)-based reporter group offers further advantages, including distinct isotopic signatures derived from the metal center and inherent multimodal imaging capabilities.

Authors

Institutions

Publication Details

Journal
ACS Central Science
Published
2025-10-21
DOI
https://doi.org/10.1021/acscentsci.5c01381
Citations
1
Primary Topic
Advanced biosensing and bioanalysis techniques
Type
article
Field-Weighted Citation Impact
0.81
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Small Molecule Drug-Based Ru(II) Polypyridine Mass-Tag for Multimodal Imaging of Tissue Samples

Katja Steiger, Mihyun Park, Guillermo Moreno‐Alcántar, Lieby Zborovsky et al.
1 citations
ACS Central Science
Advanced biosensing and bioanalysis techniques
0.81
article

A Small Molecule Drug-Based Ru(II) Polypyridine Mass-Tag for Multimodal Imaging of Tissue Samples

Katja Steiger, Mihyun Park, Guillermo Moreno‐Alcántar, Lieby Zborovsky, Susanne Kossatz, Melina Rumpf, M. Seiler, Nicole Strittmatter, Angela Casini
article en
1 citations

Abstract

Mass spectrometry imaging (MSI) is a powerful tool for spatially resolved multiomics analysis of tissue samples in clinical research. However, its proteomics application is still limited due to challenges such as low ionization efficiency and signal interference from complex tissue environments. On-tissue mass-tag labeling (OTMT) addresses these limitations using affinity-based imaging agents that incorporate cleavable, highly ionizable reporter groups known as mass-tags (MTs). The majority of existing MTs rely on antibodies as targeting elements and organic moieties as reporter groups. Here, we introduce a new class of MTs featuring small-molecule inhibitors as binding motifs. Specifically, we present <b>PARPi-MT</b>, composed of a photocleavable and luminescent Ru-(II)-based reporter and the poly-(ADP-ribose) polymerase (PARP) inhibitor Olaparib for the targeted bimodal imaging of PARP1 in H446 xenograft tumor and mouse brain sections, via desorption electrospray ionization (DESI)-MSI and fluorescence microscopy. Using small-molecule inhibitors as binding motifs expands the design versatility and potential applications of OTMT, while overcoming some of the challenges of antibody-based mass-tags. The Ru-(II)-based reporter group offers further advantages, including distinct isotopic signatures derived from the metal center and inherent multimodal imaging capabilities.

ACS Central ScienceVol. 11(11)
Institute of Catalysis and Petrochemistry (RU), Translational Research in Oncology (FR), Department of Chemistry and Earth Sciences (BY), Czech Academy of Sciences, Institute of Experimental Medicine (CZ), Analytical Biosciences (China) (CN), Technical University of Munich (DE)
Openalex Percentile: Top 22%
Advanced biosensing and bioanalysis techniques
0.81
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.