Author

Dann Huh

Biogen (United States)

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 Genomics· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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Approach:statistical model· 3 Research Focus:differential expression· 2 Organism:human· 2 Research Focus:benchmarking· 1 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Research Focus:gene regulatory network inference· 1 Assay:scRNA-seq· 1

Frequent Co-Authors

Shaolong CaoiD· 2 shared Alfica Sehgal· 1 shared Ali Al Abdullatif· 1 shared Alla A. SigovaiD· 1 shared Amanda J. GuiseiD· 1 shared Baobao SongiD· 1 shared Baohong ZhangiD· 1 shared Bryan J. MatthewsiD· 1 shared

Activity by Year

2024-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 16 mutual co-author links

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2 shared papersBioinformatics

Shaolong CaoORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

SpaceSequest: A unified pipeline for spatial transcriptomics data analysis

Yu Henry Sun, Sarbottam Piya, Zhengyu Ouyang, Yirui Chen, Jake Gagnon, Shaolong Cao, Haotian Zhang, Baobao Song, Jing Ke Zhu, Khyati Raghunath Chandratre, Houlin Yu, Wenxing Hu, Matthew M. Ryals, Fergal Casey, Dann Huh, Baohong Zhang

SpaceSequest provides a unified pipeline for analyzing spatial transcriptomics data from multiple platforms, enabling standardized processing, analysis, and visualization.

Journal of Advance Research in Pharmacy & Biological Science · Jan 19, 2026Peer-reviewedBioinformatics

Comparative snRNAseq study of C9orf72, SOD1, and sALS spinal cord

Shaolong Cao, Mark J. Sheehan, Victor Cox, Dirk M. Walther, Amanda J. Guise, Edward D. Plowey, Maria I. Zavodszky, Thomas M. Carlile, Ravi Challa, Yi Chen, Guoqiang Zhang, Helen McLaughlin, Catherine L. Worth, Chia‐Yen Chen, Shih‐Ching Lo, , Dann Huh

This study compares snRNAseq data from C9orf72, SOD1, and sporadic ALS spinal cords, identifying shared and distinct molecular features across cell types.

bioRxiv · Aug 26, 2025 · PreprintNeuroscience

Transcriptional characterization of iPSC-derived microglia as a model for therapeutic development in neurodegeneration

Gokul Ramaswami, Yeliz Yuva-Aydemir, Brynn N. Akerberg, Bryan J. Matthews, Jenna Williams, Gabriel Golczer, Jiaqi Huang, Ali Al Abdullatif, Dann Huh, Linda C. Burkly, Sandra J. Engle, Iris Grossman, Alfica Sehgal, Alla A. Sigova, Robert T. Fremeau, , David A. Bumcrot

This study assesses iPSC-derived microglia-like cells using bulk and single-cell RNA sequencing, showing they resemble primary human microglia in gene expression and respond to LXR agonists.

Scientific Reports · Jan 25, 2024Peer-reviewedGenomics