HiCTMap: Detection and Analysis of Chromosome Territory Structure and Position by High-throughput Imaging
Z. M. Jowhar, P. Gudla, S. Shachar, D. Wangsa, J. L. Russ, G. Pegoraro, T. Ried, A. Raznahan, T. Misteli
Abstract
The spatial organization of chromosomes in the nuclear space is an extensively studied field that relies on measurements of structural features and 3D positions of chromosomes with high precision and robustness. However, no tools are currently available to image and analyze chromosome territories in a high-throughput format. Here, we have developed High-throughput Chromosome Territory Mapping (HiCTMap), a method for the robust and rapid analysis of 2D and 3D chromosome territory positioning in mammalian cells. HiCTMap is a high-throughput imaging-based chromosome detection method which enables routine analysis of chromosome structure and nuclear position. Using an optimized FISH staining protocol in a 384-well plate format in conjunction with a bespoke automated image analysis workflow, HiCTMap faithfully detects chromosome territories and their position in 2D and 3D in a large population of cells per experimental condition. We apply this novel technique to visualize chromosomes 18, X, and Y in male and female primary human skin fibroblasts, and show accurate detection of the correct number of chromosomes in the respective genotypes. Given the ability to visualize and quantitatively analyze large numbers of nuclei, we use HiCTMap to measure chromosome territory area and volume with high precision and determine the radial position of chromosome territories using either centroid or equidistant-shell analysis. The HiCTMap protocol is also compatible with RNA FISH as demonstrated by simultaneous labeling of X chromosomes and Xist RNA in female cells. We suggest HiCTMap will be a useful tool for routine precision mapping of chromosome territories in a wide range of cell types and tissues.
02 /Specification & Classification
Click any tag to browse matching papers- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling
Guy Nir, Irene Farabella, … Chao-ting Wu·PLoS GeneticsPeer-reviewed·Dec 26, 2018
- Automated nuclear cartography reveals conserved sperm chromosome territory localization across 2 million years of mouse evolution
Benjamin Matthew Skinner, Joanne Bacon, … Peter J. I. Ellis·GenesPeer-reviewed·Feb 1, 2019
- Inferring Chromosome Radial Organization from Hi-CData
Priyojit Das, Tongye Shen, Rachel Patton McCord·BMC BioinformaticsPeer-reviewed·Nov 9, 2020
- Ultrastructural details of mammalian chromosome architecture
Nils Krietenstein, Sameer Abraham, … Oliver J. Rando·Molecular CellPeer-reviewed·Mar 25, 2020
- Allele-level visualization of transcription and chromatin by high-throughput imaging
Faisal Almansour, Adib Keikhosravi, … Tom Misteli·Histochemistry and Cell BiologyPeer-reviewed·May 9, 2024
- Centromere Detection of Human Metaphase Chromosome Images using a Candidate Based Method
Akila Subasinghe, Jagath Samarabandu, … Peter K. Rogan·F1000ResearchPeer-reviewed·Jul 1, 2016