Evidence map›Paper›PMID 30202427›Full record

ArticleCell division2018

Measuring DNA content in live cells by fluorescence microscopy.

Cecil J Gomes, Michael W Harman, Sara M Centuori, Charles W Wolgemuth, Jesse D Martinez

Open access · goldAbstract read
In one paragraph

Article in Cell division, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

24 citing papers in PubMed, 52 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

5 authors at 3 institutions in 1 country.

Cecil J Gomes1University of Arizona Cancer Center, University of Arizona, 1515 N. Campbell Ave, Tucson, AZ 85724 USA.
Michael W Harman6Rhode Island Hospital, Providence, RI 02903 USA.
Sara M Centuori1University of Arizona Cancer Center, University of Arizona, 1515 N. Campbell Ave, Tucson, AZ 85724 USA.
Charles W Wolgemuth3Department of Physics, University of Arizona, Tucson, AZ 85724 USA.
Jesse D Martinez1University of Arizona Cancer Center, University of Arizona, 1515 N. Campbell Ave, Tucson, AZ 85724 USA.
University of Arizona · USUniversity of Arizona Cancer CenterProvidence College · US

Funding

VITAMIN AP30CA023074 · NCI · UNIVERSITY OF ARIZONA · PI Teri L Bankhead · 1985 to 2026
$110.2M
The Role of Physical Cues in Collective Cell InvasionU54CA210173 · NCI · JOHNS HOPKINS UNIVERSITY · PI SUN, SEAN X · 2016 to 2020
$9.9M
Integrative Cancer Scholars Training GrantT32CA009213 · NCI · UNIVERSITY OF ARIZONA · PI CAREW, JENNIFER S, CURIEL-LEWANDROWSKI, CLARA · 1985 to 2024
$8.6M
The Role of p53 and 14-3-3 in Genomic InstabilityR01CA107510 · NCI · UNIVERSITY OF ARIZONA · PI MARTINEZ, JESSE D. · 2004 to 2008
$1.4M
Cancer Prevention and Control Health Disparities Training ProgramT32CA078447 · NCI · UNIVERSITY OF ARIZONA · PI ALBERTS, DAVID SAMUEL, HARRIS, ROBIN B · 2016 to 2020
$1.2M
The role of p53 and 14-3-3 in genomic instabilityR56CA107510 · NCI · UNIVERSITY OF ARIZONA · PI MARTINEZ, JESSE D. · 2009 to 2009
$272k
NCI NIH HHS P30 CA023074NCI NIH HHS R01 CA107510NCI NIH HHS R56 CA107510NCI NIH HHS T32 CA009213NCI NIH HHS T32 CA078447NCI NIH HHS U54 CA210173
6 · The paper itself

Abstract

backgroundLive-cell fluorescence microscopy (LCFM) is a powerful tool used to investigate cellular dynamics in real time. However, the capacity to simultaneously measure DNA content in cells being tracked over time remains challenged by dye-associated toxicities. The ability to measure DNA content in single cells by means of LCFM would allow cellular stage and ploidy to be coupled with a variety of imaging directed analyses. Here we describe a widely applicable nontoxic approach for measuring DNA content in live cells by fluorescence microscopy. This method relies on introducing a live-cell membrane-permeant DNA fluorophore, such as Hoechst 33342, into the culture medium of cells at the end of any live-cell imaging experiment and measuring each cell's integrated nuclear fluorescence to quantify DNA content. Importantly, our method overcomes the toxicity and induction of DNA damage typically caused by live-cell dyes through strategic timing of adding the dye to the cultures; allowing unperturbed cells to be imaged for any interval of time before quantifying their DNA content. We assess the performance of our method empirically and discuss adaptations that can be implemented using this technique.

resultsPresented in conjunction with cells expressing a histone 2B-GFP fusion protein (H2B-GFP), we demonstrated how this method enabled chromosomal segregation errors to be tracked in cells as they progressed through cellular division that were later identified as either diploid or polyploid. We also describe and provide an automated Matlab-derived algorithm that measures the integrated nuclear fluorescence in each cell and subsequently plots these measurements into a cell cycle histogram for each frame imaged. The algorithm's accurate assessment of DNA content was validated by parallel flow cytometric studies.

conclusionsThis method allows the examination of single-cell dynamics to be correlated with cellular stage and ploidy in a high-throughput fashion. The approach is suitable for any standard epifluorescence microscope equipped with a stable illumination source and either a stage-top incubator or an enclosed live-cell incubation chamber. Collectively, we anticipate that this method will allow high-resolution microscopic analysis of cellular processes involving cell cycle progression, such as checkpoint activation, DNA replication, and cellular division.

Indexed as

DNA contentHoechst 33342ImagingLive-cell microscopy

Identifiers

PMID30202427
PMCPMC6123973
OpenAlexW2891843147

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.