Author

Adrian T. Grzybowski

University of ChicagoORCID 0000-0002-7340-9603Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Genomics· 1 Molecular Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

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Approach:experimental assay· 2 Organism:human· 2 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Assay:ChIP-seq· 1 Research Focus:differential expression· 1 Research Focus:drug response / drug discovery· 1 Research Focus:gene regulatory network inference· 1

Frequent Co-Authors

Alexander J. RuthenburgiD· 1 shared Alexandru OdainiciD· 1 shared Andrei M. Komarov· 1 shared Aparna Sahajan· 1 shared Beat FierziD· 1 shared Bingqing Zhang· 1 shared Carolin C. Lechner· 1 shared Chan Ho ParkiD· 1 shared

Activity by Year

2021-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 24 mutual co-author links

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1 shared paperMolecular Biology

Alexander J. RuthenburgORCID

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3 papers

Recent·Most cited

TRAILBLAZER: generative multicellular perturbation model of biology

Julián Neñer, Padmalochini Selvamani, Smitha Srinivasachar Badarinarayan, Naveen Chandramohan, Adrian T. Grzybowski

TRAILBLAZER predicts multicellular patient-level responses to interventions while preserving single-cell resolution and enabling generalization.

bioRxiv · Mar 23, 2026 · PreprintSystems Biology

NULISA: a novel proteomic liquid biopsy platform with attomolar sensitivity and high multiplexing

Wei Feng, Joanne C. Beer, Qinyu Hao, Ishara S. Ariyapala, Aparna Sahajan, Andrei M. Komarov, Katie Cha, Mason Moua, Xiaolei Qiu, Xiaomei Xu, Shweta Iyengar, Thu Yoshimura, Rajini Nagaraj, Li Wang, Ming Yu, , Xiao-Jun Ma

NULISA is a proteomic platform with attomolar sensitivity and high multiplexing, enabling detection of low-abundance proteins in liquid biopsies.

Nature Communications · Nov 9, 2023Peer-reviewedGenomics

Re-evaluating the role of nucleosomal bivalency in early development

Rohan N. Shah, Adrian T. Grzybowski, Jimmy Elias, Zhonglei Chen, Takamitsu Hattori, Carolin C. Lechner, Peter W. Lewis, Shohei Koide, Beat Fierz, Alexander J. Ruthenburg

This study re-evaluates the bivalency model using a new ChIP method, finding widespread bivalency that does not resolve with differentiation and is not specific for poised developmental genes.

bioRxiv · Sep 9, 2021 · PreprintMolecular Biology