Evidence map›Paper›PMID 34632419›Full record

ArticleSTAR protocols2021

A protocol to quantify chromatin compaction with confocal and super-resolution microscopy in cultured cells.

Laura Martin, Chiara Vicario, Álvaro Castells-García, Melike Lakadamyali, Maria Victoria Neguembor, Maria Pia Cosma

Open access · goldAbstract read
In one paragraph

Article in STAR protocols, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

23 citing papers in PubMed, 44 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

6 authors at 4 institutions in 3 countries.

Laura MartinCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08003 Barcelona, Spain.
Chiara VicarioCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08003 Barcelona, Spain.
Álvaro Castells-GarcíaCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08003 Barcelona, Spain.
Melike LakadamyaliPerelman School of Medicine, Department of Physiology, University of Pennsylvania, Philadelphia, PA 19104, USA.
Maria Victoria NeguemborCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08003 Barcelona, Spain.
Maria Pia CosmaCentre for Genomic Regulation (CRG), The Barcelona Institute of Science and Technology, 08003 Barcelona, Spain.
Centre for Genomic Regulation · ESGuangzhou Regenerative Medicine and Health Guangdong Laboratory · CNInstitució Catalana de Recerca i Estudis Avançats · ESUniversity of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Here, we describe three complementary microscopy-based approaches to quantify morphological changes of chromatin organization in cultured adherent cells: the analysis of the coefficient of variation of DNA, the measurement of DNA-free nuclear areas, and the quantification of chromatin-associated proteins at the nuclear edge. These approaches rely on confocal imaging and stochastic optical reconstruction microscopy and allow a fast and robust quantification of chromatin compaction. These approaches circumvent inter-variability between imaging conditions and apply to every type of adherent cells. For complete details on the use and execution of this protocol, please refer to Neguembor et al. (2021).

Indexed as

Cell Culture TechniquesCell NucleusCells, CulturedChromatinHeLa CellsHumansImage Processing, Computer-AssistedMicroscopy, ConfocalChromatinCell BiologyMicroscopyMolecular Biology

Identifiers

PMID34632419
PMCPMC8488755
OpenAlexW3204915897

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.