Hypatia: Comparative Isoform Profiling Across Cell Populations from Long-Read Single-Cell Transcriptomes

bioRxiv (Cold Spring Harbor Laboratory) 2026 Preprint Open access

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Authors: Timothy Pan, Cheng-Kai Shiau, Lina Lu, Changhu Wang, Minhua Wang, Yueying He, A. Bhimaraj, Daniel Brat, Jason Huse, Jingyi Jessica Li, Ruli Gao
DOI: 10.64898/2026.01.13.699341
Cited by: 1
References: 18

Abstract

High-throughput long-read single-cell RNA-sequencing enables isoform-level study across single cells, yet methods for systematically assessing cell-to-cell variations remain limited. Here, we develop Hypatia, a comprehensive platform for dissecting isoform complexities across cell populations, devising Tsallis entropy and Cramer's V to facilitate robust comparative profiling. Hypatia revealed prominent isoform species variations and usage shifts across cell-types in glioblastoma, renal cell carcinoma, and heart, highlighting clinically relevant applications for studying isoform-derived, cell-specific functions.

Fields of Study & Subjects

Single-cell and spatial transcriptomics Cancer Genomics and Diagnostics Cell Image Analysis Techniques

Publication details

Journal / source
bioRxiv (Cold Spring Harbor Laboratory)
Publisher
openRxiv
Publication date
14 January 2026
Language
EN
Document type
Preprint