Author

Mark E. Sherman

Mayo ClinicORCID 0000-0002-9222-8808Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell type annotation· 3 Approach:experimental assay· 3 Organism:human· 3 Research Focus:differential expression· 2 Research Focus:gene regulatory network inference· 2 Assay:proteomics· 2 Assay:scRNA-seq· 2 Assay:ATAC-seq· 1

Frequent Co-Authors

Anguraj SadanandamiD· 3 shared David J. H. F. KnappiD· 3 shared Megan L. RittingiD· 3 shared Nagarajan KannaniD· 3 shared Syed Mohammed Musheer AalamiD· 3 shared Akhilesh PandeyiD· 2 shared Amy C. DegnimiD· 2 shared Chitra Priya EmperumaliD· 2 shared

Activity by Year

2025-2026 · peak 3/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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3 shared papersCancer Biology

Anguraj SadanandamORCID

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Author profile →

4 papers

Recent·Most cited

The Human Male Mammary Gland has Similar Epithelial Populations to Female but Distinct Composition and Transcriptional Properties

Myriam Iliana Ibanez-Rios, Syed Mohammed Musheer Aalam, Megan L. Ritting, Ashlyn Jore, Keyur Chaludia, Chitra Priya Emperumal, James W. Jakub, Sarah A. McLaughlin, Amy C. Degnim, Judy Caroline Boughey, Fergus J. Couch, Siddhartha Yadav, Anguraj Sadanandam, Mark E. Sherman, Derek C. Radisky, , Nagarajan Kannan

This paper presents a single-cell RNA sequencing atlas of the adult human male breast, revealing distinct transcriptional properties and composition compared to female breast tissue.

bioRxiv · Mar 31, 2026 · PreprintCancer Biology

A high-throughput platform for biophysical antibody developability assessment to enable AI/ML model training

Ammar Arsiwala, Rebecca Bhatt, Lood van Niekerk, Porfirio Quintero-Cadena, Xiang Ao, Adam Rosenbaum, Aanal Bhatt, Alexander Smith, Yaoyu Yang, KC Anderson, Lucía Daniela Grippo, Xing Cao, Rich Cohen, Jay Patel, Joshua Moller, , David W. Borhani

The paper introduces a high-throughput platform to generate large datasets for training machine learning models to predict antibody developability properties.

mAbs · Dec 2, 2025Peer-reviewedBiophysics

A Rare Multipotent Peg-like Epithelial Cell is a Candidate Cell-of-Origin for High-Grade Serous Ovarian Cancer

Megan L. Ritting, Wenmei Yang, Syed Mohammed Musheer Aalam, Hui Zhao, Feng Liang, Jianning Song, Mihai Gabriel Dumbrava, Wazim Mohammed Ismail, Dong‐Gi Mun, Chunling Hu, Opalina Roy, Keyur Chaludiya, Geng Xian Shi, Daphne Norma Crasta, Kenneth Schaufelberger, , Nagarajan Kannan

The paper identifies a rare multipotent epithelial cell in the fallopian tube as a potential cell-of-origin for high-grade serous ovarian cancer using multi-omic profiling and organoid models.

bioRxiv · Sep 23, 2025 · PreprintCancer Biology

Receptor Tyrosine Kinase Profiling Identifies Chronic Constitutive Floodgate Oxidative Signaling in Glutathione-Independent Human Mammary Luminal Progenitor Cells

Syed Mohammed Musheer Aalam, Megan L. Ritting, Hari PS, Geng‐Xian Shi, Kingsley Shih, Yifei Dong, Guruprasad Kalthur, Miao Cao, Yifan Yu, David J. H. F. Knapp, Peter D. Eirew, Davide Pellacani, Chitra Priya Emperumal, Hequn Wang, Jeffrey R. Janus, , Nagarajan Kannan

This study identifies cKIT as a key mediator of oxidative signaling in human mammary luminal progenitor cells and links its activation to poor outcomes in basal-like breast cancers.

bioRxiv · Jul 15, 2025 · PreprintCancer Biology