Author

Clarissa Tan

The University of QueenslandORCID 0000-0002-8686-8833Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Cell Biology· 1 Developmental Biology· 1 Systems Biology· 1

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 3 Approach:statistical model· 3 Research Focus:benchmarking· 1 Research Focus:cell type annotation· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Research Focus:GWAS / association mapping· 1 Research Focus:host-pathogen & immune response· 1

Frequent Co-Authors

Nathan J. PalpantiD· 3 shared Woo Jun ShimiD· 3 shared Yuanzhao CaoiD· 3 shared Amy D. HannaiD· 2 shared Chris Siu Yeung ChowiD· 2 shared Dalia MizikovskyiD· 2 shared James E. HudsoniD· 2 shared Shaine Chenxin BaoiD· 2 shared

Activity by Year

2024-2026 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 45 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

3 shared papersCell Biology

Nathan J. PalpantORCID

Mutual co-authors in cluster

Author profile →

3 papers

Recent·Most cited

Glycaemic variability underlies myocyte dysfunction and myocardial injury risk in diabetes

Yuanzhao Cao, Meredith A. Redd, Jennifer E. Outhwaite, Dalia Mizikovsky, Woo Jun Shim, Chen Fang, Courtney Vedelago, Clarissa Tan, Zhixuan Wu, Venea Dara Daygon, Terra Stark, Robin William Palfreyman, Han Sheng Chiu, Ulrich Thomas, Elena Dragicevic, , Nathan J. Palpant

This study shows glycaemic variability, not just hyperglycaemia, increases heart muscle dysfunction and myocardial injury risk in diabetes using genetic and experimental models.

Nature Communications · Apr 18, 2026Peer-reviewedCell Biology

Protocol-dependent cardiomyocyte states determine disease modelling capacity of human iPSCs

Sophie Shen, Clarissa Tan, Yuanzhao Cao, Chris Siu Yeung Chow, Dalia Mizikovsky, Janice D. Reid, Steve Dingwall, Andrew B.J. Prowse, Yuliangzi Sun, Zhixuan Wu, Sumedha Negi, Shaine Chenxin Bao, Enakshi Sinniah, Woo Jun Shim, Qiongyi Zhao, , Nathan J. Palpant

This study compares sixteen iPSC-CM differentiation protocols to identify how protocol-dependent cell states affect disease modeling capacity for cardiovascular conditions.

bioRxiv · Mar 31, 2026 · PreprintSystems Biology

A community-oriented, data-driven resource to improve protocol design for cardiac modelling from human pluripotent stem cells

Chris Siu Yeung Chow, Sophie Shen, Amy Hanna, Sumedha Negi, Clarissa Tan, Shaine Chenxin Bao, Fang Chen, James E. Hudson, Woo Jun Shim, Yuanzhao Cao, Nathan J. Palpant

The paper develops a resource to improve cardiac modelling protocols using hPSC-CMs by analyzing decades of research data and providing tools for protocol benchmarking.

bioRxiv · Sep 4, 2024 · PreprintDevelopmental Biology