Evidence map›Paper›PMID 30566285›Full record

ReviewWiley interdisciplinary reviews. Systems biology and medicine2019

Models of polymer physics for the architecture of the cell nucleus.

Andrea Esposito, Carlo Annunziatella, Simona Bianco, Andrea M Chiariello, Luca Fiorillo, Mario Nicodemi

Abstract readReview
In one paragraph

Review in Wiley interdisciplinary reviews. Systems biology and medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–field-weighted citation impact
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

7 citing papers in PubMed.

  1. Article
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  3. Review
  4. Review
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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.

Andrea EspositoDipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli Complesso Universitario di Monte Sant'Angelo, Naples, Italy.
Carlo AnnunziatellaDipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli Complesso Universitario di Monte Sant'Angelo, Naples, Italy.
Simona BiancoDipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli Complesso Universitario di Monte Sant'Angelo, Naples, Italy.
Andrea M ChiarielloDipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli Complesso Universitario di Monte Sant'Angelo, Naples, Italy.
Luca FiorilloDipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli Complesso Universitario di Monte Sant'Angelo, Naples, Italy.
Mario NicodemiDipartimento di Fisica, Università di Napoli Federico II, and INFN Napoli Complesso Universitario di Monte Sant'Angelo, Naples, Italy.

Funding

San Diego Center for 4D Nucleome ResearchU54DK107977 · NIDDK · LUDWIG INSTITUTE FOR CANCER RES LTD · PI MURRE, CORNELIS, REN, BING · 2015 to 2019
$9.4M
NIDDK NIH HHS U54 DK107977NIH HHS 1U54DK107977-01
6 · The paper itself

Abstract

The depth and complexity of data now available on chromosome 3D architecture, derived by new technologies such as Hi-C, have triggered the development of models based on polymer physics to explain the observed patterns and the underlying molecular folding mechanisms. Here, we give an overview of some of the ideas and models from physics introduced to date, along with their progresses and limitations in the description of experimental data. In particular, we focus on the Strings&Binders and the Loop Extrusion model of chromatin architecture. This article is categorized under: Analytical and Computational Methods > Computational Methods.

Indexed as

Models, BiologicalCell NucleusChromatinChromatin Assembly and DisassemblyDNAHumansPolymersThermodynamicsChromatinDNAPolymerschromatincomputational biologypolymer physics

Identifiers

PMID30566285
PMCPMC6565494

What OpenQuestion holds

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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.