Abstract 5075: Detection and spatial analysis of mRNA delivered by lipid nanoparticles through spatial transcriptomics

Abstract Background: Lipid nanoparticle (LNP) platforms are widely used for mRNA delivery, but the precise distribution of mRNA within tissues remains poorly understood. Spatial transcriptomics technologies have enabled detailed mapping of RNA localization in tissues. In this study, LNPs targeting the spleen were used to encapsulate tdTomato mRNA, and spatial transcriptomics was employed to analyze its distribution and interactions within the spleen microenvironment. Methods: Spleen-targeting LNPs were developed to deliver codon-optimized tdTomato mRNA. Space Ranger and advanced alignment algorithms were used to distinguish endogenous and externally delivered mRNA. Overlapping sequences with mouse hemoglobin genes were excluded to ensure accurate analysis. After mapping tdTomato mRNA onto the ST data, we performed colocalization analysis with the ST data of the mouse spleen to demonstrate the precise distribution of tdTomato mRNA within the tissues. Results: The transcriptomic analysis of mouse spleen tissues revealed distinct red pulp, white pulp, and marginal zone morphologies. Similar gene expression profiles between control (‘Con’) and experimental (‘Exp’) samples indicated comparable tissue conditions. tdTomato mRNA was observed exclusively in the ‘Exp’ sample, predominantly localized in the red pulp, aligning with the expected LNP delivery pathway via blood circulation. Spatial correlation analysis in the ‘Exp’ sample revealed that hemoglobin genes were highly correlated with tdTomato mRNA, while ribosome-related genes showed the lowest correlation. RNA degradation analysis demonstrated intact tdTomato mRNA in the medulla, whereas significant degradation was observed in the cortex. Compared to fluorescence imaging, the platform used provides distinct advantages, such as absence of autofluorescence, offering PCR-level sensitivity, and enabling absolute quantification, thereby enhancing the precision of these findings. Conclusion: Using spatial transcriptomics, the study successfully mapped the distribution of externally delivered tdTomato mRNA within tissue and analyzed its spatial interactions with the surrounding microenvironment. RNA degradation patterns revealed distinct microenvironments affecting mRNA stability. These findings provide insights into the pharmacokinetics of mRNA-loaded LNPs and support the development of optimized nucleic acid delivery systems. Citation Format: Jeongbin Park, Yuchang Seong, Dongjoo Lee, Jinyeong Choi, Hanna Jung, Somin Lee, Hongyoon Choi, Hyungjun Im. Detection and spatial analysis of mRNA delivered by lipid nanoparticles through spatial transcriptomics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 5075.

Authors

Institutions

Publication Details

Journal
Cancer Research
Published
2025-04-21
DOI
https://doi.org/10.1158/1538-7445.am2025-5075
Primary Topic
Molecular Biology Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 5075: Detection and spatial analysis of mRNA delivered by lipid nanoparticles through spatial transcriptomics

Jeongbin Park, Dongjoo Lee, Jinyeong Choi, Hongyoon Choi et al.
Cancer Research
Molecular Biology Techniques and Applications
article

Abstract 5075: Detection and spatial analysis of mRNA delivered by lipid nanoparticles through spatial transcriptomics

Jeongbin Park, Dongjoo Lee, Jinyeong Choi, Hongyoon Choi, Somin Lee, Hyungjun Im, Youngmo Seong, Ho Kyung Jung
article en

Abstract

Abstract Background: Lipid nanoparticle (LNP) platforms are widely used for mRNA delivery, but the precise distribution of mRNA within tissues remains poorly understood. Spatial transcriptomics technologies have enabled detailed mapping of RNA localization in tissues. In this study, LNPs targeting the spleen were used to encapsulate tdTomato mRNA, and spatial transcriptomics was employed to analyze its distribution and interactions within the spleen microenvironment. Methods: Spleen-targeting LNPs were developed to deliver codon-optimized tdTomato mRNA. Space Ranger and advanced alignment algorithms were used to distinguish endogenous and externally delivered mRNA. Overlapping sequences with mouse hemoglobin genes were excluded to ensure accurate analysis. After mapping tdTomato mRNA onto the ST data, we performed colocalization analysis with the ST data of the mouse spleen to demonstrate the precise distribution of tdTomato mRNA within the tissues. Results: The transcriptomic analysis of mouse spleen tissues revealed distinct red pulp, white pulp, and marginal zone morphologies. Similar gene expression profiles between control (‘Con’) and experimental (‘Exp’) samples indicated comparable tissue conditions. tdTomato mRNA was observed exclusively in the ‘Exp’ sample, predominantly localized in the red pulp, aligning with the expected LNP delivery pathway via blood circulation. Spatial correlation analysis in the ‘Exp’ sample revealed that hemoglobin genes were highly correlated with tdTomato mRNA, while ribosome-related genes showed the lowest correlation. RNA degradation analysis demonstrated intact tdTomato mRNA in the medulla, whereas significant degradation was observed in the cortex. Compared to fluorescence imaging, the platform used provides distinct advantages, such as absence of autofluorescence, offering PCR-level sensitivity, and enabling absolute quantification, thereby enhancing the precision of these findings. Conclusion: Using spatial transcriptomics, the study successfully mapped the distribution of externally delivered tdTomato mRNA within tissue and analyzed its spatial interactions with the surrounding microenvironment. RNA degradation patterns revealed distinct microenvironments affecting mRNA stability. These findings provide insights into the pharmacokinetics of mRNA-loaded LNPs and support the development of optimized nucleic acid delivery systems. Citation Format: Jeongbin Park, Yuchang Seong, Dongjoo Lee, Jinyeong Choi, Hanna Jung, Somin Lee, Hongyoon Choi, Hyungjun Im. Detection and spatial analysis of mRNA delivered by lipid nanoparticles through spatial transcriptomics [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2025; Part 1 (Regular Abstracts); 2025 Apr 25-30; Chicago, IL. Philadelphia (PA): AACR; Cancer Res 2025;85(8_Suppl_1):Abstract nr 5075.

Cancer ResearchVol. 85(8_Supplement_1)
Seoul National University of Science and Technology (KR)
Openalex Percentile: Top 93%
Molecular Biology Techniques and Applications
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.