Author

Steven Chu

Stanford MedicineORCID 0000-0002-4572-0154Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:cell signaling & trafficking· 2 Approach:experimental assay· 2 Research Focus:differential expression· 1 Assay:fluorescence / live-cell microscopy· 1 Organism:mouse· 1 Assay:proteomics· 1 Assay:scRNA-seq· 1 Approach:statistical model· 1

Frequent Co-Authors

Brian K. KobilkaiD· 2 shared John JanetzkoiD· 2 shared Jonathan C. DeutschiD· 2 shared Rabindra V. ShivnaraineiD· 2 shared Asuka InoueiD· 1 shared Charles M. SchroederiD· 1 shared Daniel HilgeriD· 1 shared Dirk H. SiepeiD· 1 shared

Activity by Year

2022-2025 · peak 2/yr

Co-Author Collaboration Network

10 top collaborators · 30 mutual co-author links

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2 shared papersBiophysics

Brian K. KobilkaORCID

Mutual co-authors in cluster

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3 papers

Recent·Most cited

Ligand-dependent G protein dynamics underlying opioid signaling efficacy

Jonathan C. Deutsch, Daniel Hilger, John Janetzko, Charles M. Schroeder, Steven Chu, Brian K. Kobilka, Rabindra V. Shivnaraine

This study uses smFRET to show that opioid ligands modulate Gi protein conformational dynamics, with higher-efficacy agonists promoting open, low-nucleotide-affinity states.

bioRxiv · Jun 30, 2025 · PreprintBiophysics

Membrane phosphoinositides allosterically tune β-arrestin dynamics to facilitate GPCR core engagement

John Janetzko, Jonathan C. Deutsch, Yuqi Shi, Dirk H. Siepe, Matthieu Masureel, Weijing Liu, Rosa Viner, Asuka Inoue, Steven Chu, Brian K. Kobilka, Rabindra V. Shivnaraine

This study reveals that membrane phosphoinositides allosterically regulate β-arrestin dynamics, enabling engagement with minimally phosphorylated GPCRs.

bioRxiv · Jun 6, 2025 · PreprintBiophysics

Aging causes changes in transcriptional noise across a diverse set of cell types

G. Edward Marti, Steven Chu, Stephen R. Quake

The paper examines age-related changes in gene expression noise across multiple cell types and tissues using single-cell transcriptomics, identifying thousands of genes with significant noise changes.

bioRxiv · Jun 23, 2022 · PreprintBioinformatics