Author

Charles A. Giardina

University of ConnecticutORCID 0000-0002-6001-6843Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Cancer Biology· 1 Developmental Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Research Focus:cell type annotation· 2 Research Focus:differential expression· 2 Organism:human· 2 Assay:scRNA-seq· 2 Approach:statistical model· 2 Research Focus:gene regulatory network inference· 1 Approach:machine learning (classical)· 1 Research Focus:spatial domain detection· 1

Frequent Co-Authors

Alan KuoiD· 1 shared Daniel W. RosenbergiD· 1 shared Klea NitoiD· 1 shared Marina BleileriD· 1 shared Masako NakanishiiD· 1 shared Nicholas A. Danese· 1 shared Pratik MehtaiD· 1 shared Shan Kurkcu· 1 shared

Activity by Year

2023-2026 · peak 1/yr

Co-Author Collaboration Network

8 top collaborators · 21 mutual co-author links

Click any collaborator node to inspect or filter shared papers

Focal author (center)Selected co-authorORCID co-authorUnlinked name

Curved chords = mutual co-authorship

1 shared paperCancer Biology

Alan KuoORCID

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

Cancer BiologybioRxivPreprintMay 5, 2026

Integrated Single-Cell and Spatial Profiling of MMP Gene Expression in Colorectal Cancer

Nicholas A. Danese, Shan Kurkcu, Marina Bleiler…·Charles A. Giardina

The paper analyzes MMP gene expression in colorectal cancer using single-cell and spatial transcriptomic data, identifying cell-type-specific and spatial patterns associated with cancer progression.

DOI 10.64898/2026.04.17.719089

humanscRNA-seq

𝕏 PostBluesky

Developmental BiologybioRxivPreprintOct 25, 2023

A model for angiogenesis suppression via SERPINF1 in the surrounding pro-acinar microenvironment during human fetal pancreas development

Pratik Mehta, Charles A. Giardina

The paper proposes a model explaining how SERPINF1 suppresses angiogenesis in the human fetal pancreas acinar microenvironment using single-cell RNA-seq data.

1 citation

humanscRNA-seq

𝕏 PostBluesky