Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 194

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Cell cycle staging of individual cells by fluorescence microscopy

Open access
Roukos, Vassilis, Pegoraro, Gianluca, Voss, Ty C, Misteli, Tom·2015·Nature Protocols

Abstract

Progression through the cell cycle is one of the most fundamental features of cells. Studies of the cell cycle have traditionally relied on the analysis of populations, and they often require specific markers or the use of genetically modified systems, making it difficult to determine the cell cycle stage of individual, unperturbed cells. We describe a protocol, suitable for use in high-resolution imaging approaches, for determining cell cycle staging of individual cells by measuring their DNA content by fluorescence microscopy. The approach is based on the accurate quantification by image analysis of the integrated nuclear intensity of cells stained with a DNA dye, and it can be used in combination with several histochemical methods. We describe and provide the algorithms for two automated image analysis pipelines and the derivation of cell cycle profiles with both commercial and open-source software. This 1–2-d protocol is applicable to adherent cells, and it is adaptable for use with several DNA dyes.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nprot.2015.016

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 4 references

Cited by

See all 194

Metadata

Authors
Roukos, V., Pegoraro, G., Voss, T. C., & Misteli, T.
Venue
Nature Protocols
Published
2015-01-29
Volume
10
Issue
2
Pages
334-348
ISSN
  • 1750-2799 (ISSN-L)
  • 1754-2189
OpenAlex
W1994363917
Cited by
194
References
4
FWCI
8.10
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Cell cycle staging of individual cells by fluorescence microscopy. https://app.cochat.ai/papers/10.1038/nprot.2015.016
The paper
Roukos, V., Pegoraro, G., Voss, T. C., & Misteli, T. (2015). Cell cycle staging of individual cells by fluorescence microscopy. Nature Protocols. https://doi.org/10.1038/nprot.2015.016

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.