Author

Jamie L. Endicott

Van Andel 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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Genomics· 2

Signature Assays, Organisms & Methods

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Assay:DNA methylation· 2 Research Focus:gene regulatory network inference· 2 Organism:human· 2 Approach:statistical model· 2 Research Focus:cell type annotation· 1 Approach:deep learning· 1 Research Focus:differential expression· 1 Research Focus:trajectory inference· 1

Frequent Co-Authors

Hui SheniD· 2 shared Paula A. Nolte· 2 shared Peter W. LairdiD· 2 shared Benjamin K. JohnsoniD· 1 shared David Sokol· 1 shared Emily Eugster· 1 shared Hsiao-yun Milliron· 1 shared Jacob MorrisoniD· 1 shared

Activity by Year

2022-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersGenomics

Hui ShenORCID

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2 papers

Recent·Most cited

High-coverage allele-resolved single-cell DNA methylation profiling by scDEEP-mC reveals cell lineage, X-inactivation state, and replication dynamics

Nathan J. Spix, Walid Abi Habib, Zhouwei Zhang, Emily Eugster, Hsiao-yun Milliron, David Sokol, KwangHo Lee, Paula A. Nolte, Jamie L. Endicott, Kelly F. Krzyzanowski, Toshinori Hinoue, Jacob Morrison, Benjamin K. Johnson, Wanding Zhou, Hui Shen, Peter W. Laird

The paper introduces scDEEP-mC, a single-cell DNA methylation profiling method, and shows it can identify cell types, X-inactivation states, and replication dynamics with high coverage.

Nature Communications · Jul 7, 2025Peer-reviewedGenomics

Cell division drives DNA methylation loss in late-replicating domains in primary human cells

Jamie L. Endicott, Paula A. Nolte, Hui Shen, Peter W. Laird

The paper shows that DNA methylation loss in late-replicating domains is driven by cell division and replication, and introduces a model to estimate replicative history.

Nature Communications · Nov 8, 2022Peer-reviewedGenomics