Author

Mingyao Li

University of Pennsylvania

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

Same name, identified by ORCID

Biology Disciplines

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Bioinformatics· 1 Genetic & Genomic Medicine· 1 Genomics· 1 Neuroscience· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 5 Research Focus:cell type annotation· 2 Organism:human· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Assay:spatial transcriptomics· 2 Research Focus:batch correction / integration· 1 Research Focus:cell-cell communication· 1

Frequent Co-Authors

Alan M. Kwong· 1 shared Alexander Chan Chi HuangiD· 1 shared Alexander J. Brucker· 1 shared Alexis Boleda· 1 shared Ali NajiiD· 1 shared Amanda J. GuiseiD· 1 shared Amelia R. Schroeder· 1 shared Andrew R. GehrkeiD· 1 shared

Activity by Year

2024-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 12 mutual co-author links

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1 shared paperGenetic & Genomic Medicine

Alan M. Kwong

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5 papers

Recent·Most cited

Single-cell transcriptomics reveals cell-type-specific circadian rhythms and their disruption by acute misalignment in mouse aorta

Benjamin J. Auerbach, Ronan Lordan, Soon Y. Tang, Elizabeth Hennessy, Seán T. Anderson, Ujjalkumar Subhash Das, Ryan McConnell, Mingyao Li, Garret A. FitzGerald

This study uses single-cell RNA sequencing to analyze circadian rhythms in mouse aorta cells and shows how acute misalignment disrupts these rhythms and vascular function.

bioRxiv · Sep 21, 2026 · PreprintGenomics

Spatial transcriptomics reveals heterogeneous cell-cell interactions among brain regions in a cuprizone model consistent with multiple sclerosis lesions

Hui‐Hsin Tsai, Sarbottam Piya, Jing Wang, Jing Zhu, Wenxing Hu, Andrew R. Gehrke, Shaolong Cao, Amanda J. Guise, Su Jing Chan, Mark J. Sheehan, Jenhwa Chu, Zhengyu Ouyang, Matthew M. Ryals, Michelle Lee, Wanli Wang, , Baohong Zhang

The paper uses spatial transcriptomics to analyze cell-cell interactions in a cuprizone model, finding region-specific changes and partial translatability to multiple sclerosis lesions.

Frontiers in Bioinformatics · Aug 6, 2026Peer-reviewedNeuroscience

HistoSweep enables cellular-resolution tissue quality control for gigapixel images in digital pathology and spatial omics

Amelia R. Schroeder, Xiaokang Yu, Wei Li, Musu Yuan, Liran Mao, Jiyuan Yang, Nadja Sachs, Bernhard Dumoulin, George Xu, Xunda Luo, Alexander Chan Chi Huang, Katalin Suszták, Tae Hyun Hwang, Humam N. Kadara, Lars Mäegdefessel, , Mingyao Li

HistoSweep improves tissue quality control in gigapixel images by removing artifacts and preserving biologically relevant structures, enhancing analysis accuracy in digital pathology and spatial omics.

bioRxiv · Feb 2, 2026 · PreprintBioinformatics

Single-cell multiome analysis supports α-to-β transdifferentiation in human pancreas

Michelle Y. Y. Lee, Omar Guessoum, Hilana El‐Mekkoussi, Mitchell Conery, Elisabetta Manduchi, Jonathan Schug, Hélène C. Descamps, Deeksha Lahori, Tong Da, Chengyang Liu, Ali Naji, Benjamin F. Voight, Mingyao Li, Klaus H. Kaestner

The paper identifies transitional cell states between alpha and beta cells in human islets using single-cell multiome data, suggesting potential for alpha-to-beta transdifferentiation.

bioRxiv · Feb 14, 2025 · PreprintSystems Biology

Distinctive cross-ancestry genetic architecture for age-related macular degeneration

Bryan R. Gorman, Georgios Voloudakis, Robert P. Igo, Tyler G. Kinzy, Christopher W. Halladay, Tim B. Bigdeli, Biao Zeng, Sanan Venkatesh, Jessica N. Cooke Bailey, Dana C. Crawford, Kyriacos Markianos, Frederick N. Dong, Patrick A. Schreiner, Wen Zhang, VA Million Veteran Program, , Srinivas V. Goverdhan

This study identifies 63 AMD risk loci across multiple ancestries, highlighting ancestry-dependent genetic heterogeneity and potential therapeutic targets.

Nature Genetics · Dec 1, 2024Peer-reviewedGenetic & Genomic Medicine