# High-content single-cell epigenetic technologies scalable to the human brain

> **NIH NIH RF1** · OREGON HEALTH & SCIENCE UNIVERSITY · 2021 · $1,939,037

## Abstract

PROJECT ABSTRACT
To meet the goal of the BRAIN Initiative Cell Census Network to catalogue and produce molecular profiles of
every cell type in the human brain; order-of-magnitude improvements in single-cell assay throughput and
coverage are required. In this proposal, we detail strategies to meet these needs by leveraging novel chemistry
workflows and combinatorial indexing techniques. This will include the development of two complementary
techniques (s3 and s4) that overcome the major limitations of current technologies to produce far higher
coverage of DNA-based properties, including chromatin accessibility (s3-ATAC) and histone marks (s4-CAT).
These technologies will also be leveraged to develop assays that capture RNA transcription alongside the
DNA-encoded property. We will also extend these workflows to produce order-of-magnitude improvements in
cell coverage for our previously-described technology to profile single-cell DNA methylation in high throughput
(sci-MET). The improved coverage will also enable the development of targeted capture for pooled single-cell
DNA methylation libraries to reduce sequencing costs per cell while profiling regions of interest. These capture
libraries will enable much larger cell datasets that can complement whole-genome single-cell profiles from a
smaller sampling of cells. Finally, we will demonstrate these technologies by producing a preliminary atlas of
epigenetic profiles in the human primary visual cortex and hippocampus to serve as a starting point for the
large scale coordinated efforts of the BICCN.

## Key facts

- **NIH application ID:** 10369335
- **Project number:** 1RF1MH128842-01
- **Recipient organization:** OREGON HEALTH & SCIENCE UNIVERSITY
- **Principal Investigator:** Andrew Adey
- **Activity code:** RF1 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $1,939,037
- **Award type:** 1
- **Project period:** 2021-09-17 → 2025-09-16

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10369335

## Citation

> US National Institutes of Health, RePORTER application 10369335, High-content single-cell epigenetic technologies scalable to the human brain (1RF1MH128842-01). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10369335. Licensed CC0.

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