Guoyun Kao

ORCID: 0000-0003-0399-1041
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About
Contact & Profiles
Research Areas
  • Single-cell and spatial transcriptomics
  • T-cell and B-cell Immunology
  • Immune Cell Function and Interaction
  • Cell Adhesion Molecules Research
  • RNA Interference and Gene Delivery
  • PARP inhibition in cancer therapy
  • Extracellular vesicles in disease
  • Adenosine and Purinergic Signaling
  • MicroRNA in disease regulation
  • Calcium signaling and nucleotide metabolism
  • Protease and Inhibitor Mechanisms
  • Monoclonal and Polyclonal Antibodies Research

University of Southern California
2022-2025

10.1016/j.abb.2023.109849 article EN publisher-specific-oa Archives of Biochemistry and Biophysics 2023-12-05

Nicotinamide adenine dinucleotide (NAD+) is required for a myriad of metabolic, signaling, and post-translational events in cells. Its levels tissues organs are closely associated with health conditions. The homeostasis NAD+ regulated by biosynthetic pathways consuming enzymes. As membrane-bound protein robust hydrolase activity, cluster differentiation 38 (CD38) major degrader NAD+. Deficiency or inhibition CD38 enhances vivo, resulting various therapeutic benefits. metabolic precursor...

10.1021/jacsau.4c00695 article EN cc-by-nc-nd JACS Au 2024-10-30

T cell receptor (TCR) studies have grown substantially with the advancement in sequencing techniques of repertoire (TCR-Seq). The analysis TCR-Seq data requires computational skills to run TCR tools. However biomedical researchers limited backgrounds face numerous obstacles properly and efficiently utilizing bioinformatics tools for analyzing data. Here we report pyTCR, a notebook-based solution comprehensive scalable analysis. Computational notebooks, which combine code, calculations,...

10.3389/fimmu.2022.954078 article EN cc-by Frontiers in Immunology 2022-10-27

Abstract T cell receptor (TCR) studies have grown substantially with the advancement in sequencing techniques of repertoire (TCR-Seq). The analysis TCR-Seq data requires computational skills to run TCR tools. However biomedical researchers limited backgrounds face numerous obstacles properly and efficiently utilizing bioinformatics tools for analyzing data. Here we report pyTCR, a notebook-based platform comprehensive scalable analysis. Computational notebooks, which combine code,...

10.1101/2022.05.26.22275650 preprint EN cc-by-nc-nd medRxiv (Cold Spring Harbor Laboratory) 2022-05-27
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