Author

Renjie Liao

Arizona State University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Systems Biology· 2 Bioinformatics· 1 Molecular Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 3 Research Focus:cell type annotation· 2 Organism:human· 2 Assay:proteomics· 2 Assay:spatial transcriptomics· 2 Research Focus:benchmarking· 1 Research Focus:clustering· 1 Approach:deep learning· 1

Frequent Co-Authors

Diego MastroeniiD· 2 shared Erkai LiuiD· 2 shared Gufeng WangiD· 2 shared Jia GuoiD· 2 shared Joshua LaBaeriD· 2 shared Luyang ZhaoiD· 2 shared Paul D. ColemaniD· 2 shared Yuanye Bao· 2 shared

Activity by Year

2020-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 21 mutual co-author links

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2 shared papersSystems Biology

Diego MastroeniORCID

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Author profile →

4 papers

Recent·Most cited

OCellus: A Language-Model Framework for Single-Cell, Spatial, and Perturbation Biology with Natural-Language Reasoning

C H I Zhang, Jia Sun, Zaoxu Xu, Renjie Liao, An Yin, Hui Gao, Erkai Liu, Yuanye Bao, Luyang Zhao, Gufeng Wang

OCellus is a language model that addresses limitations in single-cell, spatial, and perturbation biology by integrating natural-language reasoning across multiple tasks.

bioRxiv · Jul 12, 2026 · PreprintBioinformatics

Sequencing-based Spatial Transcriptomics with scRNA-seq Sensitivity

Renjie Liao, Defeng Fu, Zaoxu Xu, Han Liang, Xiaoran Zhou, Yiling Elaine Chen, Xue‐Qi Liu, Ji Cheng, Ruidong Guo, Li Chen, Huihua Xia, Gailing Li, Diewen Feng, Wei Chen, Yang Chen, , Gufeng Wang

This paper introduces a sequencing-based spatial transcriptomics system with sub-cellular resolution and significantly improved capture efficiency compared to existing methods.

bioRxiv · Jan 15, 2025 · PreprintMolecular Biology

Highly sensitive in situ proteomics with cleavable fluorescent tyramide reveals human neuronal heterogeneity

Renjie Liao, Manas Mondal, Christopher D. Nazaroff, Diego Mastroeni, Paul D. Coleman, Joshua LaBaer, Jia Guo

This paper introduces a highly sensitive in situ proteomics method using cleavable fluorescent tyramide and antibodies, enabling detailed analysis of protein expression in human tissues.

bioRxiv · Aug 30, 2020 · PreprintSystems Biology

Highly sensitive and multiplexed in situ protein profiling with cleavable fluorescent streptavidin

Renjie Liao, Thai H. Pham, Diego Mastroeni, Paul D. Coleman, Joshua LaBaer, Jia Guo

This paper introduces a method for highly sensitive and multiplexed in situ protein profiling using cleavable fluorescent streptavidin and biotin conjugated antibodies, achieving 10-fold improved sensitivity over existing methods.

Cells · Apr 1, 2020Peer-reviewedSystems Biology