Contract · Total Small Business Set-Aside (FAR 19.5)

Dovetail Genomics LLC Micro-C Service

Agency: HEALTH AND HUMAN SERVICES, DEPARTMENT OF / NATIONAL INSTITUTES OF HEALTH
Location: Bethesda, MD
Amount: Amount not listed
Deadline: Closes in 7 days (Jul 25, 2026)
Posted: Jul 14, 2026
Set-aside: Total Small Business Set-Aside (FAR 19.5)
NAICS code: 541715

What this contract is for

Requirements: 1. Purpose Dovetail Genomics LLC Micro-C service employs micrococcal nuclease (MNase) digestion to generate highly uniform fragments, enabling precise capture of nucleosome positioning with even genomic coverage. This approach provides increased mapping resolution at the nucleosome level, while proximity ligation data enriched for long-range informative reads allows detection of higher-order chromatin organization, including chromatin loops and interaction frequencies. The purpose of this Statement of Work is to acquire Dovetail Genomics LLC Micro-C services for samples processing and associated data generation in support of NCI/CCR/LRBGE research on the effects of substrate stiffness on 3D chromatin architecture in colon cancer cell lines. This information will allow us to better understand the impact of substrate stiffness on gene regulation and cancer cell behavior. 2. Background Mechanical cues regulate cell behavior in development, regeneration, aging, and disease, and in colon cancer, extracellular matrix stiffening may promote malignancy by altering focal adhesions, YAP1 transcription factor activity, invasion, transcriptional programs, and nuclear organization. Given the rising incidence of colorectal cancer in young adults and the NIH emphasis on human-based, animal-free research models, we will compare human colon cancer cells grown on substrates of different stiffnesses to determine whether physiologically relevant soft hydrogels, compared with rigid plastic, alter 3D nuclear architecture assessed by Micro-C. This work will test whether matrix stiffness reshapes chromatin organization and mechanosensitive transcriptional responses in ways that may be missed in conventional culture, supporting more predictive human-based models for cancer biology...

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