Evidence map›Paper›PMID 23202445›Full record

ArticleViruses2012

High content image based analysis identifies cell cycle inhibitors as regulators of Ebola virus infection.

Krishna P Kota, Jacqueline G Benko, Rajini Mudhasani, Cary Retterer, Julie P Tran, Sina Bavari, Rekha G Panchal

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.3field-weighted citation impact, top 21% 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

12 citing papers in PubMed, 16 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

7 authors at 2 institutions in 1 country.

Krishna P KotaPerkinElmer, 940 Waltham, MA 02451, USA. krishna.kota@amedd.army.mil
Jacqueline G Benko
Rajini Mudhasani
Cary Retterer
Julie P Tran
Sina Bavari
Rekha G Panchal
United States Army Medical Research Institute of Infectious Diseases · USPerkinElmer (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Viruses modulate a number of host biological responses including the cell cycle to favor their replication. In this study, we developed a high-content imaging (HCI) assay to measure DNA content and identify different phases of the cell cycle. We then investigated the potential effects of cell cycle arrest on Ebola virus (EBOV) infection. Cells arrested in G1 phase by serum starvation or G1/S phase using aphidicolin or G2/M phase using nocodazole showed much reduced EBOV infection compared to the untreated control. Release of cells from serum starvation or aphidicolin block resulted in a time-dependent increase in the percentage of EBOV infected cells. The effect of EBOV infection on cell cycle progression was found to be cell-type dependent. Infection of asynchronous MCF-10A cells with EBOV resulted in a reduced number of cells in G2/M phase with concomitant increase of cells in G1 phase. However, these effects were not observed in HeLa or A549 cells. Together, our studies suggest that EBOV requires actively proliferating cells for efficient replication. Furthermore, multiplexing of HCI based assays to detect viral infection, cell cycle status and other phenotypic changes in a single cell population will provide useful information during screening campaigns using siRNA and small molecule therapeutics.

Indexed as

Cell Cycle CheckpointsAphidicolinBenzimidazolesCell CycleCell LineCell NucleusCell ProliferationCulture MediaEbolavirusHemorrhagic Fever, EbolaHumansImage Processing, Computer-AssistedNocodazoleSerumTime FactorsVirus ReplicationAphidicolinBenzimidazolesbisbenzimide ethoxide trihydrochlorideCulture MediaNocodazole

Identifiers

PMID23202445
PMCPMC3497033
OpenAlexW2073119899

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.