Evidence map›Paper›PMID 33086041›Full record

ArticleBiophysical journal2020

Data-Driven Polymer Model for Mechanistic Exploration of Diploid Genome Organization.

Yifeng Qi, Alejandro Reyes, Sarah E Johnstone, Martin J Aryee, Bradley E Bernstein, Bin Zhang

Abstract read
In one paragraph

Article in Biophysical journal, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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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.

Yifeng QiDepartments of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts.
Alejandro ReyesBroad Institute of MIT and Harvard, Cambridge, Massachusetts; Department of Data Sciences, Dana Farber Cancer Institute, Boston, Massachusetts; Department of Biostatistics, Harvard School of Public Health, Boston, Massachusetts.
Sarah E JohnstoneBroad Institute of MIT and Harvard, Cambridge, Massachusetts; Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Center for Cancer Research, Massachusetts General Hospital, Boston, Massachusetts.
Martin J AryeeBroad Institute of MIT and Harvard, Cambridge, Massachusetts; Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Center for Cancer Research, Massachusetts General Hospital, Boston, Massachusetts.
Bradley E BernsteinBroad Institute of MIT and Harvard, Cambridge, Massachusetts; Department of Pathology, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts; Center for Cancer Research, Massachusetts General Hospital, Boston, Massachusetts.
Bin ZhangDepartments of Chemistry, Massachusetts Institute of Technology, Cambridge, Massachusetts. Electronic address: binz@mit.edu.

Funding

Probing and Perturbing Transcriptional Condensates with Multiscale Modeling and Deep LearningR35GM133580 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Bin Zhang · 2019 to 2026
$3.1M
NIGMS NIH HHS R35 GM133580
6 · The paper itself

Abstract

Chromosomes are positioned nonrandomly inside the nucleus to coordinate with their transcriptional activity. The molecular mechanisms that dictate the global genome organization and the nuclear localization of individual chromosomes are not fully understood. We introduce a polymer model to study the organization of the diploid human genome. It is data-driven because all parameters can be derived from Hi-C data; it is also a mechanistic model because the energy function is explicitly written out based on a few biologically motivated hypotheses. These two features distinguish the model from existing approaches and make it useful both for reconstructing genome structures and for exploring the principles of genome organization. We carried out extensive validations to show that simulated genome structures reproduce a wide variety of experimental measurements, including chromosome radial positions and spatial distances between homologous pairs. Detailed mechanistic investigations support the importance of both specific interchromosomal interactions and centromere clustering for chromosome positioning. We anticipate the polymer model, when combined with Hi-C experiments, to be a powerful tool for investigating large-scale rearrangements in genome structure upon cell differentiation and tumor progression.

Indexed as

DiploidyPolymersCell NucleusChromosomesGenome, HumanHumansPolymers

Identifiers

PMID33086041
PMCPMC7677132

What OpenQuestion holds

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Registered trials

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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.