Evidence map›Paper›PMID 18930015›Full record

ArticleAnalytical biochemistry2009

DNA sequencing by denaturation: principle and thermodynamic simulations.

Ying-Ja Chen, Xiaohua Huang

Abstract read
In one paragraph

Article in Analytical biochemistry, 2009. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Nucleotide extension genotyping by high-resolution melting.The Journal of molecular diagnostics : JMD · 2010
    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

2 authors.

Ying-Ja ChenDepartment of Bioengineering, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA 92093-0412, USA.
Xiaohua Huang

Funding

Massively Parallel Cloning and Sequencing of DNAR21HG003587 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HUANG, XIAOHUA · 2005 to 2007
$731k
Genome Sequencing by Ligation Using Nano-Arrays of Single DNA MoleculesR21HG004130 · NHGRI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI HUANG, XIAOHUA · 2006 to 2007
$501k
NHGRI NIH HHS HG003587NHGRI NIH HHS R21 HG003587NHGRI NIH HHS R21 HG004130
6 · The paper itself

Abstract

We describe a new DNA sequencing method called sequencing by denaturation (SBD). A Sanger dideoxy sequencing reaction is performed on the templates on a solid surface to generate a ladder of DNA fragments randomly terminated by fluorescently labeled dideoxyribonucleotides. The labeled DNA fragments are sequentially denatured from the templates and the process is monitored by measuring the change in fluorescence intensities from the surface. By analyzing the denaturation profiles, the base sequence of the template can be determined. Using thermodynamic principles, we simulated the denaturation profiles of a series of oligonucleotides ranging from 12 to 32 bases and developed a base-calling algorithm to decode the sequences. These simulations demonstrate that DNA molecules up to 20 bases can be sequenced by SBD. Experimental measurements of the melting profiles of DNA fragments in solution confirm that DNA sequences can be determined by SBD. The potential limitations and advantages of SBD are discussed. With SBD, millions of sequencing reactions can be performed on a small area on a surface in parallel with a very small amount of sequencing reagents. Therefore, DNA sequencing by SBD could potentially result in a significant increase in speed and reduction in cost in large-scale genome resequencing.

Indexed as

Nucleic Acid DenaturationThermodynamicsDNAModels, BiologicalSequence Analysis, DNATemperatureDNA

Identifiers

PMID18930015
PMCPMC2621085

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.