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Related Concept Videos

Three-Dimensional Microscopy in Microbiology01:28

Three-Dimensional Microscopy in Microbiology

Three-dimensional imaging techniques are essential in cell biology, allowing researchers to visualize intricate cellular structures with high resolution. Two prominent methods, Differential Interference Contrast Microscopy (DIC) and Confocal Scanning Laser Microscopy (CSLM), provide distinct advantages for imaging live and thick specimens, respectively.Differential Interference Contrast MicroscopyDIC microscopy enhances contrast in transparent, unstained samples by converting phase...

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Related Experiment Video

Updated: May 12, 2026

Mapping Mammalian 3D Genome Interactions with Micro-C-XL
11:41

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

A low-input Micro-C protocol for high-resolution 3D genome mapping.

Fengnian Shan1,2, Chongren Pei2, Sijian Xia2

  • 1School of Biology and Biological Engineering, South China University of Technology, Guangzhou 510006, China.

Biology Methods & Protocols
|May 11, 2026
PubMed
Summary
This summary is machine-generated.

A new low-input Micro-C method uses 100,000 cells to map 3D genome architecture, including compartments, TADs, and chromatin loops. This breakthrough enables high-resolution genome mapping for studies with limited cell samples.

Keywords:
Micro-cchromatin architecturenucleosome resolution

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Related Experiment Videos

Last Updated: May 12, 2026

Mapping Mammalian 3D Genome Interactions with Micro-C-XL
11:41

Mapping Mammalian 3D Genome Interactions with Micro-C-XL

Published on: November 3, 2023

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.
22:27

Hi-C: A Method to Study the Three-dimensional Architecture of Genomes.

Published on: May 6, 2010

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C
09:32

Deciphering High-Resolution 3D Chromatin Organization via Capture Hi-C

Published on: October 14, 2022

Area of Science:

  • Genomics
  • Molecular Biology
  • Epigenetics

Background:

  • Standard Micro-C protocols require millions of cells, limiting their use for rare cell populations.
  • Investigating 3D genome organization is crucial for understanding gene regulation.

Purpose of the Study:

  • To develop and validate an optimized low-input Micro-C workflow.
  • To enable high-resolution 3D genome mapping with limited cell numbers.

Main Methods:

  • Developed a low-input Micro-C protocol requiring only 100,000 cells.
  • Downsampled datasets to compare low-input and standard protocols.
  • Analyzed key architectural features: Compartments, TADs, and Chromatin loops.

Main Results:

  • Reliably detected all key architectural features from as few as 100,000 cells.
  • Achieved high cis-interaction ratio (96.1%) and low PCR duplication rate (3.0%).
  • Observed loss of loops and TAD boundaries upon CTCF degradation, validating the method.

Conclusions:

  • The optimized low-input Micro-C protocol is effective for high-resolution 3D genome mapping.
  • This method expands the applicability of Micro-C to sample-limited studies.
  • Enables detailed investigation of genome architecture dynamics.