Author

Langley Grace Wallace

Gladstone Institutes

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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Developmental Biology· 2

Signature Assays, Organisms & Methods

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Research Focus:gene regulatory network inference· 2 Organism:mouse· 2 Assay:scRNA-seq· 2 Assay:ATAC-seq· 1 Research Focus:cell type annotation· 1 Research Focus:cell-cell communication· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1

Frequent Co-Authors

Angelo PeloneroiD· 2 shared Arun PadmanabhaniD· 2 shared Benjamin J. van SoldtiD· 2 shared Casey A. GiffordiD· 2 shared Deepak SrivastavaiD· 2 shared Lin YeiD· 2 shared Mauro W. CostaiD· 2 shared Michael AlexanianiD· 2 shared

Activity by Year

2022-2023 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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2 shared papersDevelopmental Biology

Angelo PeloneroORCID

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2 papers

Recent·Most cited

Single Cell Multimodal Analyses Reveal Epigenomic and Transcriptomic Basis for Birth Defects in Maternal Diabetes

Tomohiro Nishino, Sanjeev S. Ranade, Angelo Pelonero, Benjamin J. van Soldt, Lin Ye, Michael Alexanian, Frances L. Koback, Yu Huang, Langley Grace Wallace, Nandhini Sadagopan, Adrienne Lam, Lyandysha V. Zholudeva, Feiya Li, Arun Padmanabhan, Reuben Thomas, , Deepak Srivastava

The paper uses single-cell multimodal analyses to show how maternal diabetes alters epigenomic and transcriptomic states in cardiac and craniofacial progenitors, leading to developmental defects.

Nature Cardiovascular Research · Nov 30, 2023Peer-reviewedDevelopmental Biology

Single Cell Epigenetics Reveal Cell-Cell Communication Networks in Normal and Abnormal Cardiac Morphogenesis

Sanjeev S. Ranade, Sean Whalen, Ivana Zlatanova, Tomohiro Nishino, Benjamin J. van Soldt, Lin Ye, Angelo Pelonero, Langley Grace Wallace, Yu Huang, Michael Alexanian, Arun Padmanabhan, Bárbara González‐Terán, Pawel F. Przytycki, Mauro W. Costa, Casey A. Gifford, , Deepak Srivastava

The paper uses single-cell epigenomics and machine learning to model cell-cell communication networks in cardiac development and identify dysregulation in TBX1 deletion.

bioRxiv · Jul 25, 2022 · PreprintDevelopmental Biology