Evidence map›Paper›PMID 27795749›Full record

ArticleBiomicrofluidics2016

Modeling the relaxation of internal DNA segments during genome mapping in nanochannels.

Aashish Jain, Julian Sheats, Jeffrey G Reifenberger, Han Cao, Kevin D Dorfman

Abstract read
In one paragraph

Article in Biomicrofluidics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.5field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Advances in optical mapping for genomic research.Computational and structural biotechnology journal · 2020
    Review
  4. Measuring the wall depletion length of nanoconfined DNA.The Journal of chemical physics · 2018
    Article
  5. Article
  6. 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

5 authors at 2 institutions in 1 country.

Aashish JainDepartment of Chemical Engineering and Materials Science, University of Minnesota-Twin Cities , 421 Washington Ave. SE, Minneapolis, Minnesota 55455, USA.ORCID 0000-0001-7580-8694
Julian SheatsDepartment of Chemical Engineering and Materials Science, University of Minnesota-Twin Cities , 421 Washington Ave. SE, Minneapolis, Minnesota 55455, USA.ORCID 0000-0002-0293-702X
Jeffrey G ReifenbergerBioNano Genomics , 9640 Towne Centre Drive, Suite 100, San Diego, California 92121, USA.
Han CaoBioNano Genomics , 9640 Towne Centre Drive, Suite 100, San Diego, California 92121, USA.
Kevin D DorfmanDepartment of Chemical Engineering and Materials Science, University of Minnesota-Twin Cities , 421 Washington Ave. SE, Minneapolis, Minnesota 55455, USA.
University of Minnesota · USBioNano Genomics (United States) · US

Funding

Dynamics of DNA Barcoding in NanochannelsR01HG006851 · NHGRI · UNIVERSITY OF MINNESOTA · PI DORFMAN, KEVIN D · 2013 to 2018
$2.1M
NHGRI NIH HHS R01 HG006851
6 · The paper itself

Abstract

We have developed a multi-scale model describing the dynamics of internal segments of DNA in nanochannels used for genome mapping. In addition to the channel geometry, the model takes as its inputs the DNA properties in free solution (persistence length, effective width, molecular weight, and segmental hydrodynamic radius) and buffer properties (temperature and viscosity). Using pruned-enriched Rosenbluth simulations of a discrete wormlike chain model with circa 10 base pair resolution and a numerical solution for the hydrodynamic interactions in confinement, we convert these experimentally available inputs into the necessary parameters for a one-dimensional, Rouse-like model of the confined chain. The resulting coarse-grained model resolves the DNA at a length scale of approximately 6 kilobase pairs in the absence of any global hairpin folds, and is readily studied using a normal-mode analysis or Brownian dynamics simulations. The Rouse-like model successfully reproduces both the trends and order of magnitude of the relaxation time of the distance between labeled segments of DNA obtained in experiments. The model also provides insights that are not readily accessible from experiments, such as the role of the molecular weight of the DNA and location of the labeled segments that impact the statistical models used to construct genome maps from data acquired in nanochannels. The multi-scale approach used here, while focused towards a technologically relevant scenario, is readily adapted to other channel sizes and polymers.

Identifiers

PMID27795749
PMCPMC5065570
OpenAlexW2531637912

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.