# A scalable kit-based assay for multi-omic analyses of transcriptional protein binding and chromatin interactions from ultra-low input frozen and FFPE samples at single-cell resolution

> **NIH NIH R44** · ARIMA GENOMICS, INC. · 2022 · $1,015,129

## Abstract

A scalable kit-based assay for multi-omic analyses of transcriptional protein binding and chromatin
interactions from ultra-low input frozen and FFPE samples at single-cell resolution
Arima Genomics
Project Summary/Abstract
Precise regulation of gene expression is paramount to establishing cellular identities, and mis-regulation of genes
causes human disease. Cells regulate gene expression using regulatory elements (REs), short DNA sequences
embedded throughout the genome, who are bound by transcriptional proteins (TBPs) to facilitate their regulatory
function. Molecular mapping tools, such as Chromatin immunoprecipitation with sequencing (ChIP-seq), produce
“maps” of REs along the genome and have been a ubiquitous approach towards understanding gene regulation.
However, REs mapped using ChIP-seq are only understood in context of a linear genome. In reality, REs execute
gene control within a three dimensional (3D) genome. Therefore to truly understand gene regulation – gene
regulation must be mapped in 3D. Indeed, high throughput chromatin interaction capture (HiC) was developed
to produce 3D interaction maps of all 3 billion bases in the human genome, however, HiC does measure
transcriptional protein binding, nor whether an interaction is regulatory, thus having limited utility in advancing
our understanding of 3D gene regulation. To truly obtain 3D gene regulation maps, a multi-omic assay that
concurrently captures the binding of transcriptional proteins and their mediated interactions is necessary.
Recently, novel approaches attempt to combine the molecular steps of ChIP-seq and chromatin interaction
capture to measure transcriptional protein binding and mediated chromatin interactions in a single, multi-omic
assay. However these approaches, termed ChIA-PET and HiChIP, do not efficiently capture chromatin
interactions or transcriptional protein binding, respectively. Consequently, there is need for improved assays that
produce true multi-omic maps of 3D gene regulation.
To satisfy this unmet need, we have developed and commercialized our optimized minimal viable product (MVP)
Arima-HiChIP (A-HiChIP) solution. This phase-1 product incorporates innovations designed to meet the needs
of early adopter customers, achieving efficient multi-omic mapping of TBP and chromatin interactions in higher
input frozen cells and tissues, and a defined subset of transcriptional proteins. We have also developed our
phase-1 product for workflow integration, leveraging industry and academic partnerships to reduce barriers in
ChIP and bioinformatics components of the workflow, respectively. Our team has deep expertise in the science
of chromatin interaction capture, gene regulation, and its commercialization. In 2018, we commercialized Arima-
HiC kits for studying general principles of chromatin interactions and within 2 years have accumulated 500+
customers, providing tools to enable published discoveries across a host of basic science and disease research.
Based ...

## Key facts

- **NIH application ID:** 10487566
- **Project number:** 5R44HG011897-02
- **Recipient organization:** ARIMA GENOMICS, INC.
- **Principal Investigator:** Anthony Schmitt
- **Activity code:** R44 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $1,015,129
- **Award type:** 5
- **Project period:** 2021-09-10 → 2023-08-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10487566

## Citation

> US National Institutes of Health, RePORTER application 10487566, A scalable kit-based assay for multi-omic analyses of transcriptional protein binding and chromatin interactions from ultra-low input frozen and FFPE samples at single-cell resolution (5R44HG011897-02). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/10487566. Licensed CC0.

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