Evidence map›Paper›PMID 29408376›Full record

ArticleMethods (San Diego, Calif.)2018

HiCTMap: Detection and analysis of chromosome territory structure and position by high-throughput imaging.

Ziad Jowhar, Prabhakar R Gudla, Sigal Shachar, Darawalee Wangsa, Jill L Russ, Gianluca Pegoraro, Thomas Ried, Armin Raznahan, Tom Misteli

Open access · greenAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.1field-weighted citation impact, top 22% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 20 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 3 institutions in 1 country.

Ziad JowharCell Biology of Genomes Group, National Cancer Institute, NIH, Bethesda, MD 20892, United States.
Prabhakar R GudlaNCI High-throughput Imaging Facility, National Cancer Institute, NIH, Bethesda, MD 20892, United States.
Sigal ShacharCell Biology of Genomes Group, National Cancer Institute, NIH, Bethesda, MD 20892, United States.
Darawalee WangsaGenetics Branch, National Cancer Institute, NIH, Bethesda, MD 20892, United States.
Jill L RussHuman Genetics Branch, National Institute of Mental Health, NIH, Bethesda, MD 20892, United States.
Gianluca PegoraroNCI High-throughput Imaging Facility, National Cancer Institute, NIH, Bethesda, MD 20892, United States.
Thomas RiedGenetics Branch, National Cancer Institute, NIH, Bethesda, MD 20892, United States.
Armin RaznahanHuman Genetics Branch, National Institute of Mental Health, NIH, Bethesda, MD 20892, United States.
Tom MisteliCell Biology of Genomes Group, National Cancer Institute, NIH, Bethesda, MD 20892, United States. Electronic address: mistelit@mail.nih.gov.
National Cancer Institute · USNational Institute of Mental Health · USNational Institutes of Health · US

Funding

Nuclear Architecture and DiseaseZIABC010309 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI MISTELI, THOMAS A · 2009 to 2025
$39.8M
Section on Developmental NeurogenomicsZIAMH002949 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI RAZNAHAN, ARMIN · 2016 to 2025
$30.0M
HiTIF Microscopy Core FacilityZICBC011567 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI PEGORARO, GIANLUCA · 2014 to 2025
$15.8M
Intramural NIH HHS ZIA BC010309
6 · The paper itself

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.

Indexed as

AnimalsCell NucleusChromosome MappingChromosomes, Human, Pair 18Chromosomes, Human, XChromosomes, Human, YFemaleFibroblastsHumansImage Processing, Computer-AssistedIn Situ Hybridization, FluorescenceMalePrimary Cell CultureRNA, Long NoncodingSkinStaining and LabelingRNA, Long NoncodingXIST non-coding RNAChromosome paintChromosome territoryHigh-throughput imagingMachine learningRandom forestX-chromosome inactivation

Identifiers

PMID29408376
PMCPMC5993577
OpenAlexW2950227400

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.