Author

Diane D. Mao

Washington University in St. Louis

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· 1 Molecular Biology· 1 Neuroscience· 1

Signature Assays, Organisms & Methods

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

Frequent Co-Authors

Albert H. KimiD· 3 shared Sonika M DahiyaiD· 2 shared Akash J. PateliD· 1 shared Akdes Serin HarmancıiD· 1 shared Alicia Yang· 1 shared Allegra A. PettiiD· 1 shared Anthony T. WuiD· 1 shared Aziz TaghbaloutiD· 1 shared

Activity by Year

2020-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 26 mutual co-author links

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3 shared papersGenomics

Albert H. KimORCID

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Author profile →

3 papers

Recent·Most cited

Extrachromosomal DNA Associates with Nuclear Condensates and Reorganizes Chromatin Structures to Enhance Oncogenic Transcription

Aziz Taghbalout, Chia-Hao Tung, Patricia A. Clow, Harianto Tjong, Ping Wang, Chee‐Hong Wong, Diane D. Mao, Rahul Maurya, Meng‐Fan Huang, Chew Yee Ngan, Albert H. Kim, Chia‐Lin Wei

This study shows ecDNA forms nuclear condensates and reorganizes chromatin to enhance oncogenic transcription across cancer types.

Cancer Cell · Sep 23, 2025Peer-reviewedGenomics

NF2 Loss-of-Function and Hypoxia Drive Radiation Resistance in Grade 2 Meningiomas

Bhuvic Patel, Sangami Pugazenthi, Collin William English, Vijay Nitturi, Shree S. Pari, Tatenda Mahlokozera, William A. Leidig, Hsiang‐Chih Lu, Alicia Yang, Kaleigh F. Roberts, Patrick DeSouza, Kyle P. McGeehan, Diane D. Mao, Namita Sinha, Joseph E. Ippolito, , Albert H. Kim

This study identifies NF2 loss-of-function and hypoxia as drivers of radiation resistance in Grade 2 meningiomas through genetic, histopathological, and transcriptional analyses.

JNCI Journal of the National Cancer Institute · Jan 27, 2025Peer-reviewedMolecular Biology

Diffusion Histology Imaging Combining Diffusion Basis Spectrum Imaging (DBSI) and Machine Learning Improves Detection and Classification of Glioblastoma Pathology

Zezhong Ye, Richard L. Price, Xiran Liu, Joshua Yao-Yu Lin, Qingsong Yang, Peng Sun, Anthony T. Wu, Liang You Wang, Rowland H. Han, Chunyu Song, Ruimeng Yang, Sam E. Gary, Diane D. Mao, Michael Wallendorf, Jian Li Campian, , Sheng‐Kwei Song

This paper introduces a novel Diffusion Histology Imaging (DHI) approach combining DBSI and machine learning to improve detection and classification of glioblastoma histopathology features.

Clinical Cancer Research · Jul 21, 2020Peer-reviewedNeuroscience