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Our Research

Seeing is Believing

We’re working to develop tools to enable discovery-driven biology in tissues. We aim to comprehensively map molecular processes in healthy and diseased tissues.

Modern sequencing methods have brought many new insights into transcriptome-wide analysis, but crucially lose a native spatial context. Additionally, traditional fluorescent imaging methods only identify a few different molecules in one sample.

We developed seqFISH to identify tens of thousands of different molecules. We’re continually building on our ability to identify, quantify, and understand how cell environments drive cell function.

View our publications

Our Lab

The rapid growth of in situ imaging from a few genes to nearly the whole transcriptome was made possible by our interdisciplinary team of scientists and engineers. We developed the new molecular, fluidic, optical, and computational tools that made seqFISH+ possible.

  1. 2010

    Cai Lab is founded

  2. 2012

    First paper showing multiplexed RNA detection in single cells with super-resolution microscopy

  3. 2014

    First demonstration of seqFISH

  4. 2016

    249 genes imaged in brain sections with seqFISH

    MEMOIR lineage tracing with seqFISH

    Cai Lab moves from Caltech Chemistry to Caltech Biology

  5. 2017

    10,212 genes identified in vitro with RNA SPOTs

  6. 2018

    10,421 genes visualized by intron seqFISH

    Cai Lab officially joins Caltech Biology

  7. 2019

    10,000 mRNAs detected with RNA seqFISH+

Research in the Cai Lab

Featured Collaborations

Elowitz Lab

Caltech

Biorxiv preprint (2020) Imaging cell lineage with a synthetic digital recording system

Nature Biotechnology (2019) In situ readout of DNA barcodes and single base edits facilitated by in vitro transcription

Nature (2016) Synthetic recording and in situ readout of lineage information in single cells

Nature (2015) Combinatorial gene regulation by modulation of relative pulse timing

Molecular Cell (2014) Dynamic heterogeneity and DNA methylation in embryonic stem cells

Rothenberg Lab

Caltech

Cell Systems (2019) Single-Cell Analysis Reveals Regulatory Gene Expression Dynamics Leading to Lineage Commitment in Early T Cell Development

Anderson Lab

Caltech

Cell (2019) Multimodal Analysis of Cell Types in a Hypothalamic Node Controlling Social Behavior

Guttman Lab

Caltech

Cell (2018) Higher-Order Inter-chromosomal Hubs Shape 3D Genome Organization in the Nucleus

Yuan Lab

Harvard

Nature Biotechnology (2018) Identification of spatially associated subpopulations by combining scRNAseq and sequential fluorescence in situ hybridization data

Genome Biology (2017) Challenges and emerging directions in single-cell analysis

Biorxiv preprint (2019) Giotto, a toolbox for integrative analysis and visualization of spatial expression data

Gradinaru Lab

Caltech

Cell (2014) Single-Cell Phenotyping within Transparent Intact Tissue through Whole-Body Clearing

Nature Protocols (2015) Whole-body tissue stabilization and selective extractions via tissue-hydrogel hybrids for high-resolution intact circuit mapping and phenotyping

Cairns Lab

University of Utah

Cell Research (2018) The adult human testis transcriptional cell atlas

Bronner Lab

Caltech

Nature Communications (2017) Identification of a neural crest stem cell niche by Spatial Genomic Analysis

Trapnell Lab

University of Washington

A Spatially resolved molecular Atlas of Human Endothelium (NIH)

Schier Lab

Harvard

Shendure Lab

University of Washington

Allen Discovery Center for Lineage Tracing

Paul G. Allen Frontiers GroupHuman Cell AtlasThe BRAIN InitiativeHuBMAP