Evidence map›Paper›PMID 26562833›Full record

ArticlePloS one2015

Genomic Pathogen Typing Using Solid-State Nanopores.

Allison H Squires, Evrim Atas, Amit Meller

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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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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

3 authors.

Allison H SquiresDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, 02215, United States of America.
Evrim AtasDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, 02215, United States of America.
Amit MellerDepartment of Biomedical Engineering, Boston University, Boston, Massachusetts, 02215, United States of America.

Funding

Single Molecule Sequencing by Nanopore induced Photon Emission (SM-SNIPE)R01HG005871 · NHGRI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI KLAPPERICH, CATHERINE M., MELLER, AMIT · 2010 to 2013
$4.0M
Tunable Nanofiber Mesh Coatings for Improved Nanopores SensingR21EB017377 · NIBIB · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI GRINSTAFF, MARK W., MELLER, AMIT · 2013 to 2014
$444k
NHGRI NIH HHS R01 HG-005871NHGRI NIH HHS R01 HG005871NIBIB NIH HHS R21 EB017377
6 · The paper itself

Abstract

In clinical settings, rapid and accurate characterization of pathogens is essential for effective treatment of patients; however, subtle genetic changes in pathogens which elude traditional phenotypic typing may confer dangerous pathogenic properties such as toxicity, antibiotic resistance, or virulence. Existing options for molecular typing techniques characterize the critical genomic changes that distinguish harmful and benign strains, yet the well-established approaches, in particular those that rely on electrophoretic separation of nucleic acid fragments on a gel, have room for only incremental future improvements in speed, cost, and complexity. Solid-state nanopores are an emerging class of single-molecule sensors that can electrophoretically characterize charged biopolymers, and which offer significant advantages in terms of sample and reagent requirements, readout speed, parallelization, and automation. We present here the first application of nanopores for single-molecule molecular typing using length based "fingerprints" of critical sites in bacterial genomes. This technique is highly adaptable for detection of different types of genetic variation; as we illustrate using prototypical examples including Mycobacterium tuberculosis and methicillin-resistant Streptococcus aureus, the solid-state nanopore diagnostic platform may be used to detect large insertions or deletions, small insertions or deletions, and even single-nucleotide variations in bacterial DNA. We further show that Bayesian classification of test samples can provide highly confident pathogen typing results based on only a few tens of independent single-molecule events, making this method extremely sensitive and statistically robust.

Indexed as

NanoporesBayes TheoremDNA, BacterialDNA FingerprintingGenome, BacterialGenomicsHumansMethicillin ResistanceMolecular TypingMycobacterium tuberculosisNanotechnologyPolymorphism, GeneticStreptococcal InfectionsStreptococcusTuberculosisDNA, Bacterial

Identifiers

PMID26562833
PMCPMC4643041

What OpenQuestion holds

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LicenceCC BY
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.