Evidence map›Paper›PMID 31470090›Full record

ReviewMethods (San Diego, Calif.)2020

Computational approaches for inferring 3D conformations of chromatin from chromosome conformation capture data.

Dario Meluzzi, Gaurav Arya

Abstract readReview
In one paragraph

Review in Methods (San Diego, Calif.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Altered Cohesin Dynamics During Cellular Differentiation.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. The 3D Organization of Chromatin Colors in Mammalian Nuclei.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  8. Modeling the 3D genome of plants.Nucleus (Austin, Tex.) · 2021
    Article
  9. Article
  10. 4D nucleome modeling.Current opinion in genetics & development · 2021
    Review
  11. Article
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

2 authors.

Dario MeluzziDepartment of Medicine, University of California San Diego, La Jolla, CA 92093, United States.
Gaurav AryaDepartment of Mechanical Engineering and Materials Science, Duke University, Durham, NC 27708, United States. Electronic address: gaurav.arya@duke.edu.

Funding

See-ing the 4D Nucleome: Enhancer Cooperativity in Phase Separated StructuresK01DK119687 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MELUZZI, DARIO · 2018 to 2020
$356k
Enhancer networks and chromosomal architecture in ligand-regulated gene transcription programsF32DK112682 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MELUZZI, DARIO · 2016 to 2018
$106k
NIDDK NIH HHS F32 DK112682NIDDK NIH HHS K01 DK119687
6 · The paper itself

Abstract

Chromosome conformation capture (3C) and its variants are powerful experimental techniques for probing intra- and inter-chromosomal interactions within cell nuclei at high resolution and in a high-throughput, quantitative manner. The contact maps derived from such experiments provide an avenue for inferring the 3D spatial organization of the genome. This review provides an overview of the various computational methods developed in the past decade for addressing the very important but challenging problem of deducing the detailed 3D structure or structure population of chromosomal domains, chromosomes, and even entire genomes from 3C contact maps.

Indexed as

AnimalsChromatinChromosome MappingChromosomesDNAGenomicsHigh-Throughput Nucleotide SequencingHistonesHumansNucleic Acid ConformationProtein Structure, TertiaryChromatinDNAHistones

Identifiers

PMID31470090
PMCPMC7044057

What OpenQuestion holds

Textmetadata
LicenceTDM
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.