Massachusetts Institute of Technology

Harvard College

The Broad Institute, Inc.

The General Hospital Corporation

Sam Rodriques

Fei Chen

Vidya Subramanian

Jesse Engreitz

Robert Stickels

Evan Macosko

Jamie Marshall

Caroline Anne Martin

Compositions and methods for assessing relative macromolecule abundance (for example, RNA expression levels) in a spatially-defined manner across a tissue sample (for example, from brain, lung, liver, kidney, pancreas, and/or heart) are disclosed, specifically providing deep transcriptomic coverage at high-resolution (for example, at approximate 10 μm (single cell) resolution) across multiple locations assessed across the tissue sample.

High-resolution spatial macromolecule abundance assessment

Provided herein are methods for generating single-cell molecular analysis comprising a) delivering one or more proximity dependent probes to a cell population, wherein each proximity dependent probe comprises a target binding region configured to bind a target RNA and a primer binding site region; b) linking bound proximity dependent probes; c) isolating single cells from the cell population in separate individual discrete volumes, the individual discrete volumes further comprising a primer pair and amplification reagents, wherein the primer pair binds to the primer binding sites of the ligation dependent probes, and wherein at least one primer comprises a barcode sequence that uniquely identifies the individual discrete volume; d) amplifying the ligated probes using the primer pair, wherein the barcode is incorporated into each resulting amplicon; and e) quantifying target RNAs in each individual cell based at least in part on sequencing the resulting amplicons.

Multimodal readouts for quantifying and sequencing nucleic acids in single cells

Growing community of inventors

Cambridge, MA, United States of America

Sam Rodriques