Evidence map›Paper›PMID 30250292›Full record

ArticleNature protocols2018

Use of the iNo score to discriminate normal from altered nucleolar morphology, with applications in basic cell biology and potential in human disease diagnostics.

Vassiliki Stamatopoulou, Pascaline Parisot, Christophe De Vleeschouwer, Denis L J Lafontaine

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In one paragraph

Article in Nature protocols, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing 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

25 citing papers in PubMed, 40 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

4 authors at 3 institutions in 2 countries.

Vassiliki StamatopoulouDepartment of Biochemistry, School of Medicine, University of Patras, Patras, Greece.
Pascaline ParisotICTEAM-ELEN, Université Catholique de Louvain, Louvain-la-Neuve, Belgium.
Christophe De VleeschouwerICTEAM-ELEN, Université Catholique de Louvain, Louvain-la-Neuve, Belgium.
Denis L J LafontaineRNA Molecular Biology, F.R.S./FNRS, Université Libre de Bruxelles, Charleroi-Gosselies, Belgium. denis.lafontaine@ulb.ac.be.ORCID http://orcid.org/0000-0001-7295-6288
UCLouvain · BEUniversité Libre de Bruxelles · BEUniversity of Patras · GR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ribosome biogenesis is initiated in the nucleolus, a cell condensate essential to gene expression, whose morphology informs cancer pathologists on the health status of a cell. Here, we describe a protocol for assessing, both qualitatively and quantitatively, the involvement of trans-acting factors in the nucleolar structure. The protocol involves use of siRNAs to deplete cells of factors of interest, fluorescence imaging of nucleoli in an automated high-throughput platform, and use of dedicated software to determine an index of nucleolar disruption, the iNo score. This scoring system is unique in that it integrates the five most discriminant shape and textural features of the nucleolus into a parametric equation. Determining the iNo score enables both qualitative and quantitative factor classification with prediction of function (functional clustering), which to our knowledge is not achieved by competing approaches, as well as stratification of their effect (severity of defects) on nucleolar structure. The iNo score has the potential to be useful in basic cell biology (nucleolar structure-function relationships, mitosis, and senescence), developmental and/or organismal biology (aging), and clinical practice (cancer, viral infection, and reproduction). The entire protocol can be completed within 1 week.

Indexed as

Cell NucleolusCellular SenescenceHeLa CellsHigh-Throughput Screening AssaysHumansImage Processing, Computer-AssistedInterphaseMitosisNeoplasmsNuclear ProteinsOptical ImagingRNA InterferenceRNA, Small InterferingSoftwareNuclear ProteinsRNA, Small Interfering

Identifiers

PMID30250292
OpenAlexW2892533594

What OpenQuestion holds

Textmetadata
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.