Combining fluorescence imaging with Hi-C to study 3D genome architecture of the same single cell.
David LandoSrinjan BasuTim J StevensAndy RiddellKai J WohlfahrtYang CaoWayne BoucherMartin LeebLiam P AtkinsonSteven F LeeBrian HendrichDave KlenermanErnest D LauePublished in: Nature protocols (2018)
Fluorescence imaging and chromosome conformation capture assays such as Hi-C are key tools for studying genome organization. However, traditionally, they have been carried out independently, making integration of the two types of data difficult to perform. By trapping individual cell nuclei inside a well of a 384-well glass-bottom plate with an agarose pad, we have established a protocol that allows both fluorescence imaging and Hi-C processing to be carried out on the same single cell. The protocol identifies 30,000-100,000 chromosome contacts per single haploid genome in parallel with fluorescence images. Contacts can be used to calculate intact genome structures to better than 100-kb resolution, which can then be directly compared with the images. Preparation of 20 single-cell Hi-C libraries using this protocol takes 5 d of bench work by researchers experienced in molecular biology techniques. Image acquisition and analysis require basic understanding of fluorescence microscopy, and some bioinformatics knowledge is required to run the sequence-processing tools described here.
Keyphrases
- fluorescence imaging
- single cell
- high throughput
- single molecule
- photodynamic therapy
- rna seq
- genome wide
- deep learning
- randomized controlled trial
- optical coherence tomography
- healthcare
- copy number
- high resolution
- dna methylation
- high speed
- mass spectrometry
- machine learning
- energy transfer
- big data
- molecularly imprinted
- mesenchymal stem cells
- cell therapy
- crystal structure
- liquid chromatography