Micro-C is a high-resolution chromosome conformation capture method derived from Hi-C. By introducing a micrococcal nuclease (MNase) digestion step, Micro-C measures contacts between pairs of crosslinked nucleosomes, enabling investigation of chromatin organization at ~100 bp (nucleosome-level) resolution. Side-by-side comparisons have shown that Micro-C can robustly recapitulate key 3D genome features such as TADs and chromatin loops with high reproducibility and comparable data quality, while revealing finer-scale structures below conventional Hi-C. CD BioSciences' Micro-C sequencing service provides an end-to-end solution—from experimental design and MNase optimization to sequencing-ready libraries and downstream 3D genome analysis—helping you resolve chromatin folding and regulatory interactions at nucleosome scale.
Micro-C captures spatial proximity of chromatin loci through crosslinking and proximity ligation, similar to Hi-C, but uses MNase digestion to fragment chromatin toward nucleosome-sized units. This enables detection of chromatin features at scales that are difficult to resolve with restriction enzyme–based Hi-C.
Micro-C data can be used to profile key architectural features including:

Fig.1 The heatmaps of the averaged contact maps of real Micro-C, Hi-C, C2c-predicted Micro-C, and HiCNN-enhanced HiC that centered at the loops from the real Micro-C data. (Zhu, H., et al., 2024)

CD BioSciences offers a complete Micro-C sequencing service designed for reliable nucleosome-resolution contact maps and interpretable 3D genome features. Given the technical sensitivity of Micro-C—especially MNase digestion and sequencing depth requirements—our workflow is built around standardized QC checkpoints to ensure reproducibility and data usability.
Micro-C Library Construction
Bioinformatics & 3D Genome Interpretation
Sequencing & Library Quality Control

Resolve chromatin architecture at nucleosome scale with CD BioSciences' Micro-C sequencing service. Contact us with your sample type, organism, and study goals—we'll recommend an optimized Micro-C design and deliver high-resolution contact maps ready for downstream regulatory and mechanistic discovery.
Reference
1. Zhu, H., et al. (2024). C2c: Predicting Micro-C from Hi-C. Genes, 15(6), 673.
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