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Cole Trapnell

Researcher at University of Washington

Publications -  148
Citations -  101469

Cole Trapnell is an academic researcher from University of Washington. The author has contributed to research in topics: Biology & Gene. The author has an hindex of 57, co-authored 123 publications receiving 84590 citations. Previous affiliations of Cole Trapnell include Iowa State University & Massachusetts Institute of Technology.

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Connect-seq to superimpose molecular on anatomical neural circuit maps

TL;DR: Application of this method to hypothalamic neurons controlling physiological responses to fear and stress reveal subsets of upstream neurons that express diverse constellations of signaling molecules and can be distinguished by their anatomical locations.
Posted ContentDOI

The cis-regulatory dynamics of embryonic development at single cell resolution

TL;DR: The power of shotgun single cell profiling of embryos to resolve dynamic changes in open chromatin during development, and to uncover the cis-regulatory programs of germ layers and cell types are demonstrated.
Journal ArticleDOI

Single cell biology—a Keystone Symposia report

Jennifer Cable, +44 more
TL;DR: The 2019 Keystone eSymposium "Single Cell Biology" as discussed by the authors discussed advances both in single cell applications and technologies, which underlies complex processes such as embryonic development, drug resistance, response to injury, and cellular reprogramming.
Posted ContentDOI

The accessible chromatin landscape of the hippocampus at single-cell resolution

TL;DR: A comprehensive map of the accessible chromatin landscape of the mouse hippocampus at single-cell resolution is presented, shedding light on key dynamic loci that reconfigure to specify hippocampal cell lineages.
Posted ContentDOI

Visual Cell Sorting: A High-throughput, Microscope-based Method to Dissect Cellular Heterogeneity

TL;DR: This work presents Visual Cell Sorting, a method that physically separates hundreds of thousands of live cells based on their visual phenotype, and uses it to recover cells that retain normal nuclear morphologies after paclitaxel treatment, then derive their single cell transcriptomes to identify multiple pathways associated with pac litaxel resistance in human cancers.