Author

Yingjie Guo

Arc Research Institute

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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Bioinformatics· 1 Genetics· 1 Immunology· 1 Synthetic Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:mouse· 2 Research Focus:benchmarking· 1 Research Focus:cell signaling & trafficking· 1 Assay:CITE-seq· 1 Research Focus:clustering· 1 Assay:CRISPR screen· 1 Approach:deep learning· 1

Frequent Co-Authors

Abdulmajeed SalamahiD· 1 shared Alon KeinaniD· 1 shared Arjun Biddanda· 1 shared Bo ZhuiD· 1 shared Chia-Hao ChengiD· 1 shared Chu-Yen Chen· 1 shared Diana Chang· 1 shared Enoch AntwiiD· 1 shared

Activity by Year

2015-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperSynthetic Biology

Abdulmajeed SalamahORCID

Mutual co-authors in cluster

Author profile →

4 papers

Recent·Most cited

ENPP1 buffers extracellular cGAMP in brown adipose tissue to limit insulin resistance

Songnan Wang, Yingjie Guo, Weidong An, J. Michelle Lee, Yu Li, Valentino Sudaryo, Jacqueline A. Carozza, Gabriel Grenot, Gemini M. Skariah, Saranya Chidambaranathan Reghupaty, Sonny Young, Xiaochen Bai, Katrin J. Svensson, Lingyin Li

This study shows that the ENPP1 K173Q variant reduces cGAMP hydrolysis, leading to increased extracellular cGAMP and insulin resistance in brown adipose tissue.

Cell Reports · Sep 15, 2026Peer-reviewedImmunology

TREND: A generalizable synthetic enhancer discovery platform for targeted immunotherapy

Yingbo Jia, Chu-Yen Chen, Bo Zhu, Zhigui Wu, Yi‐Chia Wu, Ren‐Qi Wang, Abdulmajeed Salamah, Sushmita Halder, Yen‐Nien Liu, Yingjie Guo, Ying Chen, Luca Scimeca, Hang Yin, Tejas Sabu, Yutao Wang, , Ming-Ru Wu

TREND identifies context-specific enhancers for targeted immunotherapy by analyzing TF-responsive enhancer libraries in ovarian cancer.

bioRxiv · May 7, 2026 · PreprintSynthetic Biology

Global and cross-omics feature aggregation improves single-cell multi-omics integration and clustering

Yingjie Guo, Chia-Hao Cheng, Zheqing Zhu, Jin Zhou, Haiping Lu, Yuhua Qian, Zhen Liang

scCODI improves single-cell multi-omics integration and clustering by aggregating cross-omics features and using contrastive learning, outperforming existing methods across nine datasets.

bioRxiv · Apr 10, 2025 · PreprintBioinformatics

XWAS: a software toolset for genetic data analysis and association studies of the X chromosome

Feng Gao, Diana Chang, Arjun Biddanda, Li Ma, Yingjie Guo, Zilu Zhou, Alon Keinan

XWAS provides tools for X chromosome analysis in GWAS, identifying new genetic associations in immune disorders and coronary artery disease risk factors.

Journal of Heredity · Aug 12, 2015Peer-reviewedGenetics