ArticleMethods (San Diego, Calif.)2018
HiCTMap: Detection and analysis of chromosome territory structure and position by high-throughput imaging.
Article in Methods (San Diego, Calif.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed, 20 citations in OpenAlex.
- Article
- Allele-level visualization of transcription and chromatin by high-throughput imaging.Histochemistry and cell biology · 2024Article
- Allele-level visualization of transcription and chromatin by high-throughput imaging.Research square · 2024Article
- Allele-level visualization of transcription and chromatin by high-throughput imaging.bioRxiv : the preprint server for biology · 2024Article
- BioS2Net: Holistic Structural and Sequential Analysis of Biomolecules Using a Deep Neural Network.International journal of molecular sciences · 2022Article
- Review
- Radial Organization in the Mammalian Nucleus.Frontiers in genetics · 2020Review
- Transcriptional Bursting and Co-bursting Regulation by Steroid Hormone Release Pattern and Transcription Factor Mobility.Molecular cell · 2019Article
- Topokaryotyping demonstrates single cell variability and stress dependent variations in nuclear envelope associated domains.Nucleic acids research · 2018Article
- Effects of human sex chromosome dosage on spatial chromosome organization.Molecular biology of the cell · 2018Article
- Condensin II drives large-scale folding and spatial partitioning of interphase chromosomes in Drosophila nuclei.PLoS genetics · 2018Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 1 country.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.