Evidence map›Paper›PMID 37212995›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Segmentation, 3D Reconstruction, and Analysis of PcG Proteins in Fluorescence Microscopy Images in Different Cell Culture Conditions.

Francesco Gregoretti, Federica Lucini, Elisa Cesarini, Gennaro Oliva, Chiara Lanzuolo, Laura Antonelli

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 country.

Francesco GregorettiInstitute for High Performance Computing and Networking, ICAR-CNR, Naples, Italy. francesco.gregoretti@icar.cnr.it.
Federica LuciniIstituto Nazionale di Genetica Molecolare "Romeo ed Enrica Invernizzi", Milan, Italy.
Elisa CesariniInstitute of Biochemistry and Cellular Biology, IBBC-CNR, Rome, Italy.
Gennaro OlivaInstitute for High Performance Computing and Networking, ICAR-CNR, Naples, Italy.
Chiara LanzuoloIstituto Nazionale di Genetica Molecolare "Romeo ed Enrica Invernizzi", Milan, Italy.
Laura AntonelliInstitute for High Performance Computing and Networking, ICAR-CNR, Naples, Italy. laura.antonelli@cnr.it.
Institute for High Performance Computing and Networking · ITIFOM · ITInstitute of Cell Biology and Neurobiology · ITIstituto Nazionale Genetica Molecolare · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Polycomb-group (PcG) of proteins are evolutionarily conserved transcription factors necessary for the regulation of gene expression during the development and the safeguard of cell identity in adulthood. In the nucleus, they form aggregates whose positioning and dimension are fundamental for their function. We present an algorithm, and its MATLAB implementation, based on mathematical methods to detect and analyze PcG proteins in fluorescence cell image z-stacks. Our algorithm provides a method to measure the number, the size, and the relative positioning of the PcG bodies in the nucleus for a better understanding of their spatial distribution, and thus of their role for a correct genome conformation and function.

Indexed as

Cell NucleusImaging, Three-DimensionalCell Culture TechniquesMicroscopy, FluorescencePolycomb-Group ProteinsPolycomb-Group ProteinsCellular and subcellular segmentationFluorescence microscopyImage processing and analysisNuclear organizationPcG stainingUnsupervised classification algorithmVariational segmentation model

Identifiers

PMID37212995
OpenAlexW4377220309

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.