OHSU · Knight Cancer Institute

Decoding the epigenetic logic of hormone-driven cancers

We combine single-cell multiomics and proteomics to understand how genetic and epigenetic heterogeneity shapes hormone response in breast and prostate cancer — toward earlier detection and treatment.

Based at OHSU's Knight Cancer Institute in Portland — a small group studying the epigenetics of hormone-driven cancers, with methods built in the lab: RIME, scNMT-seq and TITAN.

Our mission

To understand the fundamentals of epigenetic and transcriptional regulation in cellular dynamics — for early detection and treatment.

The lab is based at Oregon Health and Science University's Knight Cancer Institute, dedicated to detecting and eliminating lethal cancers early.

What we study

Two complementary lines of inquiry

AREA 01

Proteomics of transcription factor complexes

We developed RIME to assay endogenous protein complexes — from cancer to embryonic stem cells — and are now building nanoparticle-based approaches to push its sensitivity to a wider range of biological samples.

Nature Protocols 2016 · Cell Reports 2013 · Nature 2016

AREA 02

Single-cell multiomics of hormone response

Using methods like scNMT-seq, we profile tumor cell state at transcriptional and epigenetic resolution — connecting underlying genetic and epigenetic variation to how hormones function in cancer, in cell lines and primary patient samples.

Nature 2019 · Cell Reports 2017 · Cell Systems 2018

Our technologies

Methods built in the lab

scNMT-seq

Single-cell nucleosome, methylation and transcription sequencing

Parallel profiling of the transcriptome, chromatin accessibility, and DNA methylation — in the same single cell.

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RIME

Rapid immunoprecipitation mass spectrometry of endogenous proteins

Rapid, robust study of protein complexes — in particular chromatin and transcription factor complexes — by mass spectrometry.

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TITAN

Topic inference of transcriptionally associated networks

A topic-modeling machine learning approach that identifies transcriptional cell states in single-cell RNA-seq data.

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The Mohammed Lab team

The people behind the work

Meet the scientists behind the work, and see how to join the lab. We recruit at all levels.

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