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Joy S. Xiang

Researcher at Stanford University

Publications -  10
Citations -  233

Joy S. Xiang is an academic researcher from Stanford University. The author has contributed to research in topics: RNA & Biology. The author has an hindex of 5, co-authored 6 publications receiving 172 citations.

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Journal ArticleDOI

High-throughput cellular RNA device engineering

TL;DR: A framework for engineering RNA devices from preexisting aptamers that exhibit ligand-responsive ribozyme tertiary interactions is described, which performed better in terms of gene silencing, activation ratio and ligand sensitivity than optimized RNA devices that rely on secondary-structure changes.
Posted ContentDOI

Single-cell transcriptomic characterization of 20 organs and tissues from individual mice creates a Tabula Muris

Nicholas Schaum, +124 more
- 20 Dec 2017 - 
TL;DR: A compendium of single cell transcriptome data from the model organism Mus musculus comprising more than 100,000 cells from 20 organs and tissues, which represent a new resource for cell biology, revealing gene expression in poorly characterized cell populations and allowing for direct and controlled comparison in cell types shared between tissues.
Journal ArticleDOI

Mammalian synthetic biology for studying the cell.

TL;DR: This study reviews synthetic biology tools that are being applied to effectively investigate diverse cellular processes, regulatory networks, and multicellular interactions and discusses current challenges and future developments in the field that may transform the types of investigation possible in cell biology.
Journal ArticleDOI

Massively parallel RNA device engineering in mammalian cells with RNA-Seq.

TL;DR: A quantitative, rapid and high-throughput mammalian cell-based RNA-Seq assay to efficiently engineer ribozyme switches that respond to theophylline, hypoxanthine, cyclic-di-GMP, and folinic acid from libraries of ~22,700 sequences in total are developed.
Journal ArticleDOI

A multiplexed, automated evolution pipeline enables scalable discovery and characterization of biosensors.

TL;DR: In this paper, the de novo rapid in vitro evolution of RNA biosensors (DRIVER) enables multiplexed discovery of RNA sensors using aptamer-coupled ribozyme libraries.