Evidence map›Paper›PMID 26110537›Full record

ArticlePloS one2015

Orientation of DNA Minicircles Balances Density and Topological Complexity in Kinetoplast DNA.

Yuanan Diao, Victor Rodriguez, Michele Klingbeil, Javier Arsuaga

Abstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Assembling a True "Olympic Gel" From over 16 000 Combinatorial DNA Rings.Advanced materials (Deerfield Beach, Fla.) · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Human bloodsucking parasite in service of materials science.Proceedings of the National Academy of Sciences of the United States of America · 2020
    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

4 authors.

Yuanan DiaoDepartment of Mathematics and Statistics, University of North Carolina at Charlotte, Charlotte, North Carolina, United States of America.
Victor RodriguezCollege of Physicians and Surgeons, Columbia University, New York, New York, United States of America.
Michele KlingbeilDepartment of Microbiology, University of Massachusetts, Amherst, Massachusetts, United States of America.
Javier ArsuagaDepartment of Mathematics, University of California at Davis, Davis, California, United States of America; Department of Molecular and Cellular Biology, University of California at Davis, Davis, California, United States of America.

Funding

SFSU MA-MS/PHD BRIDGE TO THE FUTURER25GM048972 · NIGMS · SAN FRANCISCO STATE UNIVERSITY · PI BAYLISS, FRANK T, FUSE, MEGUMI M. · 1992 to 2020
$5.6M
Reconstruction of 3D Genome Architecture from Chromatin Conformation Capture DataR01GM109457 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SEGAL, MARK R · 2013 to 2020
$2.8M
NIGMS NIH HHS 1R01GM109457NIGMS NIH HHS 5R25-GM048972NIGMS NIH HHS R01 GM109457NIGMS NIH HHS R25 GM048972
6 · The paper itself

Abstract

Kinetoplast DNA (kDNA), a unique mitochondrial structure common to trypanosomatid parasites, contains thousands of DNA minicircles that are densely packed and can be topologically linked into a chain mail-like network. Experimental data indicate that every minicircle in the network is, on average, singly linked to three other minicircles (i.e., has mean valence 3) before replication and to six minicircles in the late stages of replication. The biophysical factors that determine the topology of the network and its changes during the cell cycle remain unknown. Using a mathematical modeling approach, we previously showed that volume confinement alone can drive the formation of the network and that it induces a linear relationship between mean valence and minicircle density. Our modeling also predicted a minicircle valence two orders of magnitude greater than that observed in kDNA. To determine the factors that contribute to this discrepancy we systematically analyzed the relationship between the topological properties of the network (i.e., minicircle density and mean valence) and its biophysical properties such as DNA bending, electrostatic repulsion, and minicircle relative position and orientation. Significantly, our results showed that most of the discrepancy between the theoretical and experimental observations can be accounted for by the orientation of the minicircles with volume exclusion due to electrostatic interactions and DNA bending playing smaller roles. Our results are in agreement with the three dimensional kDNA organization model, initially proposed by Delain and Riou, in which minicircles are oriented almost perpendicular to the horizontal plane of the kDNA disk. We suggest that while minicircle confinement drives the formation of kDNA networks, it is minicircle orientation that regulates the topological complexity of the network.

Indexed as

Cell CycleCrithidia fasciculataDNA, KinetoplastDNA, MitochondrialDNA ReplicationDNA, KinetoplastDNA, Mitochondrial

Identifiers

PMID26110537
PMCPMC4482025

What Socratic holds

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LicenceCC BY
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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 Socratic graph.