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Vizgen is developing the next generation of genomics tools to expand on the capabilities of spatially resolved transcriptomics. Our technology will aide the acceleration of biological research and discovery to advance human health. Access supporting resources by selecting the category below.

Publications

Imaging-based pooled CRISPR screening reveals regulators of lncRNA localization

Chong Wanga,Tian Lua, George Emanuel, Hazen P. Babcock and Xiaowei Zhuang
PNAS 116 (22) 10842-10851 (2019)

Pooled-library CRISPR screening provides a powerful means to discover genetic factors involved in cellular processes in a high-throughput manner. However, the phenotypes accessible to pooled-library screening are limited. Complex phenotypes, such as cellular morphology and…

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Publications

Mammalian gene expression variability is explained by underlying cell state

Robert Foreman, Roy Wollman
Mol Syst Biol (2020)16:e9146

Gene expression variability in mammalian systems plays an important role in physiological and pathophysiological conditions. This variability can come from differential regulation related to cell state (extrinsic) and allele-specific transcriptional bursting (intrinsic). Yet, the relative…

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Publications

Spatial transcriptome profiling by MERFISH reveals subcellular RNA compartmentalization and cell cycle-dependent gene expression

Chenglong Xia, Jean Fan, George Emanuel, Junjie Hao, and Xiaowei Zhuang
PNAS 116, 19490-19499 (2019)

The expression profiles and spatial distributions of RNAs regulate many cellular functions. Image-based transcriptomic approaches provide powerful means to measure both expression and spatial information of RNAs in individual cells within their native environment. Among…

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Publications

Multiplexed detection of RNA using MERFISH and branched DNA amplification

Chenglong Xia, Hazen P. Babcock, Jeffrey R. Moffitt & Xiaowei Zhuang
Scientific Reports 9, 7721 (2019)

Multiplexed error-robust fluorescence in situ hybridization (MERFISH) allows simultaneous imaging of numerous RNA species in their native cellular environment and hence spatially resolved single-cell transcriptomic measurements. However, the relatively modest brightness of signals from single RNA molecules…

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Publications

Molecular, spatial, and functional single-cell profiling of the hypothalamic preoptic region

Jeffrey R. Moffitt, Dhananjay Bambah-Mukku, Stephen W. Eichhorn, Eric Vaughn, Karthik Shekhar, Julio D. Perez, Nimrod D. Rubinstein, Junjie Hao, Aviv Regev, Catherine Dulac, Xiaowei Zhuang
Science 362, 6416-eaau5324 (2018)

The hypothalamus controls essential social behaviors and homeostatic functions. However, the cellular architecture of hypothalamic nuclei—including the molecular identity, spatial organization, and function of distinct cell types—is poorly understood. Here, we developed an imaging-based in…

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Publications

High-Throughput, Image-Based Screening of Genetic Variant Libraries

George Emanuel, Jeffrey R. Moffitt & Xiaowei Zhuang
Nature Methods 14, 1159-1162 (2017)

We report a high-throughput screening method that allows diverse genotypes and corresponding phenotypes to be imaged in individual cells. We achieve genotyping by introducing barcoded genetic variants into cells as pooled libraries and reading the…

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Publications

High-Performance Multiplexed Fluorescence in situ Hybridization in Culture and Tissue with Matrix Imprinting and Clearing

Jeffrey R. Moffitt, Junjie Hao, Dhananjay Bambah-Mukku, Tian Lu, Catherine Dulac, and Xiaowei Zhuang
PNAS 113, 14456-14461 (2016)

Highly multiplexed single-molecule FISH has emerged as a promising approach to spatially resolved single-cell transcriptomics because of its ability to directly image and profile numerous RNA species in their native cellular context. However, background—from off-target…

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Publications

High-Throughput Single-Cell Gene-Expression Profiling with Multiplexed Error-Robust Fluorescence in situ Hybridization

Jeffrey R. Moffitt, Junjie Hao, Guiping Wang, Kok Hao Chen, Hazen P. Babcock, and Xiaowei Zhuang
PNAS 113, 11046-11051 (2016)

Image-based approaches to single-cell transcriptomics, in which RNA species are identified and counted in situ via imaging, have emerged as a powerful complement to single-cell methods based on RNA sequencing of dissociated cells. These image-based…

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