Evidence map›Paper›PMID 24918650›Full record

ArticleAnalytical chemistry2014

Atomic force microscopic detection enabling multiplexed low-cycle-number quantitative polymerase chain reaction for biomarker assays.

Andrey Mikheikin, Anita Olsen, Kevin Leslie, Bud Mishra, James K Gimzewski, Jason Reed

Abstract readLetter
In one paragraph

Article in Analytical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Using a PCR-Based Method To Analyze and Model Large, Heterogeneous Populations of DNA.Chembiochem : a European journal of chemical biology · 2020
    Article
  2. Review
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

6 authors.

Andrey MikheikinDepartment of Physics, Virginia Commonwealth University , Richmond, Virginia 23284, United States.
Anita Olsen
Kevin Leslie
Bud Mishra
James K Gimzewski
Jason Reed

Funding

(PQD5) Mass Profiling Melanoma Responses to Improve Therapy Choices and PrognosisR01CA185189 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI REED, JASON C, TEITELL, MICHAEL A · 2014 to 2017
$1.9M
Nanotechnologies for Determining Gene Expression Patterns from Single CellsR01GM094388 · NIGMS · VIRGINIA COMMONWEALTH UNIVERSITY · PI REED, JASON C · 2010 to 2013
$1.3M
Novel high-throughput technology for gene expression profiling based on AFMR21GM080999 · NIGMS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI GIMZEWSKI, JAMES K · 2007 to 2009
$690k
NCI NIH HHS R01 CA185189NIGMS NIH HHS R01 GM094388NIGMS NIH HHS R01GM094388NIGMS NIH HHS R21 GM080999
6 · The paper itself

Abstract

Quantitative polymerase chain reaction is the current "golden standard" for quantification of nucleic acids; however, its utility is constrained by an inability to easily and reliably detect multiple targets in a single reaction. We have successfully overcome this problem with a novel combination of two widely used approaches: target-specific multiplex amplification with 15 cycles of polymerase chain reaction (PCR), followed by single-molecule detection of amplicons with atomic force microscopy (AFM). In test experiments comparing the relative expression of ten transcripts in two different human total RNA samples, we find good agreement between our single reaction, multiplexed PCR/AFM data, and data from 20 individual singleplex quantitative PCR reactions. This technique can be applied to virtually any analytical problem requiring sensitive measurement concentrations of multiple nucleic acid targets.

Indexed as

Gene ExpressionHumansMicroscopy, Atomic ForceMultiplex Polymerase Chain ReactionRNARNA

Identifiers

PMID24918650
PMCPMC4082389

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.