Evidence map›Paper›PMID 23319145›Full record

ArticleIntegrative biology : quantitative biosciences from nano to macro2013

Functional interplay between the cell cycle and cell phenotypes.

Wei-Chiang Chen, Pei-Hsun Wu, Jude M Phillip, Shyam B Khatau, Jae Min Choi, Matthew R Dallas, Konstantinos Konstantopoulos, Sean X Sun, Jerry S H Lee, Didier Hodzic and 1 more

Abstract read
In one paragraph

Article in Integrative biology : quantitative biosciences from nano to macro, 2013. 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
2.8field-weighted citation impact, top 10% 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, 32 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

11 authors at 3 institutions in 1 country.

Wei-Chiang ChenJohns Hopkins Physical Sciences-Oncology Center, The Johns Hopkins University, Baltimore, Maryland 21218, USA.
Pei-Hsun Wu
Jude M Phillip
Shyam B Khatau
Jae Min Choi
Matthew R Dallas
Konstantinos Konstantopoulos
Sean X Sun
Jerry S H Lee
Didier Hodzic
Denis Wirtz
Johns Hopkins University · USOffice of the Director · USWashington University in St. Louis · US

Funding

Single-cell phenotyping for therapeutic stratification in pancreatic cancerR01CA174388 · NCI · JOHNS HOPKINS UNIVERSITY · PI WIRTZ, DENIS · 2012 to 2016
$3.8M
T32: Predoctoral and Postdoctoral Training Program in Nanotechnology for Cancer ResearchT32CA153952 · NCI · JOHNS HOPKINS UNIVERSITY · PI Denis Wirtz · 2015 to 2026
$3.5M
Bacterial Division and the Dynamics of the Z-ringR01GM075305 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI SUN, SEAN X · 2005 to 2014
$2.9M
NUCLEAR DYNAMICS IN RETINAL DEVELOPMENT AND HOMEOSTASISR01EY022632 · NEI · WASHINGTON UNIVERSITY · PI HODZIC, DIDIER · 2013 to 2017
$1.9M
The Johns Hopkins Cancer Nanotechnology Training CenterR25CA153952 · NCI · JOHNS HOPKINS UNIVERSITY · PI MAO, HAI-QUAN, WIRTZ, DENIS · 2010 to 2014
$1.7M
The nucleus-cytoskeleton connection in health and diseaseR01GM084204 · NIGMS · JOHNS HOPKINS UNIVERSITY · PI HODZIC, DIDIER, WIRTZ, DENIS · 2008 to 2011
$1.5M
NCI NIH HHS R01 CA174388NCI NIH HHS R25 CA153952NCI NIH HHS T32 CA153952NEI NIH HHS R01 EY022632NIGMS NIH HHS R01 GM075305NIGMS NIH HHS R01 GM084204
6 · The paper itself

Abstract

Cell cycle distribution of adherent cells is typically assessed using flow cytometry, which precludes the measurements of many cell properties and their cycle phase in the same environment. Here we develop and validate a microscopy system to quantitatively analyze the cell-cycle phase of thousands of adherent cells and their associated cell properties simultaneously. This assay demonstrates that population-averaged cell phenotypes can be written as a linear combination of cell-cycle fractions and phase-dependent phenotypes. By perturbing the cell cycle through inhibition of cell-cycle regulators or changing nuclear morphology by depletion of structural proteins, our results reveal that cell cycle regulators and structural proteins can significantly interfere with each other's prima facie functions. This study introduces a high-throughput method to simultaneously measure the cell cycle and phenotypes at single-cell resolution, which reveals a complex functional interplay between the cell cycle and cell phenotypes.

Indexed as

Cell CycleActinsAnimalsCell AdhesionCell Culture TechniquesCell LineCell Line, TumorCell NucleusCyclin-Dependent Kinase 4CytoplasmDNAFlow CytometryHumansLamin Type AMiceMicroscopy, FluorescenceActinsCDK4 protein, humanCyclin-Dependent Kinase 4DNALamin Type A

Identifiers

PMID23319145
PMCPMC3813296
OpenAlexW2144139554

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.