Author

Katherine Tin Heng Liu

Stanford MedicineORCID 0000-0002-9616-9403Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

Click to filter author papers

Signature Assays, Organisms & Methods

Click to filter · or open tag

Organism:human· 2 Assay:bulk RNA-seq· 1 Research Focus:cell type annotation· 1 Assay:CRISPR screen· 1 Research Focus:differential expression· 1 Approach:experimental assay· 1 Approach:genetic perturbation / CRISPR· 1 Research Focus:perturbation response prediction· 1

Frequent Co-Authors

Kaitlyn K. Spees· 2 shared Michael Cory BassikiD· 2 shared Adi Xiyal MukundiD· 1 shared Ahmad S. KhaliliD· 1 shared Alun Vaughan-JacksoniD· 1 shared AradhanaiD· 1 shared Catherine R. ZhangiD· 1 shared Christina N. CurtisiD· 1 shared

Activity by Year

2024-2025 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 33 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

2 shared papersCancer Biology

Kaitlyn K. Spees

Mutual co-authors in cluster

Author profile →

2 papers

Recent·Most cited

RIG-I-dependent tumor-intrinsic type I interferon signaling restricts growth in breast cancer 3D culture

Katherine Tin Heng Liu, Lise Mangiante, Roni Levin‐Konigsberg, Cristina Sotomayor-Vivas, Wenting Yang, Kaitlyn K. Spees, Zhicheng Ma, Jennifer Lee Caswell-Jin, Christina N. Curtis, Michael Cory Bassik

This study identifies type I interferon signaling as a tumor-intrinsic suppressor of proliferation in 3D breast cancer spheroids through RIG-I-mediated sensing of cytosolic RNA.

bioRxiv · Aug 10, 2025 · PreprintCancer Biology

Development of compact transcriptional effectors using high-throughput measurements in diverse contexts

Josh Tycko, Mike V. Van, Aradhana, Nicole V. DelRosso, Hanrong Ye, David Yao, Raeline Valbuena, Alun Vaughan-Jackson, Xiaoshu Xu, Connor Ludwig, Kaitlyn K. Spees, Katherine Tin Heng Liu, Mingxin Gu, Venya Khare, Adi Xiyal Mukund, , Michael Cory Bassik

The paper develops HT-recruit to measure transcriptional effector function across contexts and identifies context-dependent effectors for CRISPR-based transcription control.

Nature Biotechnology · Nov 1, 2024Peer-reviewedSystems Biology