Evidence map›Paper›PMID 27862402›Full record

ArticleAdvanced materials (Deerfield Beach, Fla.)2016

A Simple Thermoplastic Substrate Containing Hierarchical Silica Lamellae for High-Molecular-Weight DNA Extraction.

Ye Zhang, Yi Zhang, Jeffrey M Burke, Kristin Gleitsman, Sarah M Friedrich, Kelvin J Liu, Tza-Huei Wang

Abstract read
In one paragraph

Article in Advanced materials (Deerfield Beach, Fla.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
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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

7 authors.

Ye ZhangBiomedical Engineering Department, Johns Hopkins University, Baltimore, MD 21218, USA.
Yi ZhangBiomedical Engineering Department, Johns Hopkins University, Baltimore, MD 21218, USA.
Jeffrey M BurkeCirculomics Inc, Baltimore, MD, 21211, USA.
Kristin GleitsmanPacific Biosciences Inc, Menlo Park, CA 94025, 94025, USA.
Sarah M FriedrichBiomedical Engineering Department, Johns Hopkins University, Baltimore, MD 21218, USA.
Kelvin J LiuCirculomics Inc, Baltimore, MD, 21211, USA.
Tza-Huei WangBiomedical Engineering Department, Johns Hopkins University, Baltimore, MD 21218, USA.

Funding

Multiplexed Detection of Cell Free DNA Biomarkers for CancerR01CA155305 · NCI · JOHNS HOPKINS UNIVERSITY · PI WANG, TZA-HUEI JEFF · 2011 to 2015
$1.7M
Nanobind Hierarchical Silica Lamella for High Molecular Weight DNA ExtractionR44GM109618 · NIGMS · CIRCULOMICS, INC. · PI LIU, KELVIN, WANG, TZA-HUEI JEFF · 2015 to 2016
$1.5M
Nanobind FFPE DNA/RNA ExtractionR43ES024180 · NIEHS · CIRCULOMICS, INC. · PI LIU, KELVIN, WANG, TZA-HUEI JEFF · 2014 to 2014
$224k
High Integrity and High Yield DNA Extraction Using a Nanostructured SurfaceR43GM109618 · NIGMS · CIRCULOMICS, INC. · PI LIU, KELVIN, WANG, TZA-HUEI JEFF · 2014 to 2014
$175k
NCI NIH HHS R01 CA155305NIEHS NIH HHS R43 ES024180NIGMS NIH HHS R43 GM109618NIGMS NIH HHS R44 GM109618
6 · The paper itself

Abstract

An inexpensive, magnetic thermoplastic nanomaterial is developed utilizing a hierarchical layering of micro- and nanoscale silica lamellae to create a high-surface-area and low-shear substrate capable of capturing vast amounts of ultrahigh-molecular-weight DNA. Extraction is performed via a simple 45 min process and is capable of achieving binding capacities up to 1 000 000 times greater than silica microparticles.

Indexed as

MagneticsDNAHumansMCF-7 CellsMolecular WeightNanostructuresSilicon DioxideSolid Phase ExtractionDNASilicon Dioxidehigh molecular weightlong read sequencingnanoscale silicasolid-phase extractionthermoplastic

Identifiers

PMID27862402
PMCPMC5234087

What OpenQuestion holds

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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.