Evidence map›Paper›PMID 31553880›Full record

ArticleAnalytical chemistry2019

Single-Molecule Topochemical Analyses for Large-Scale Multiplexing Tasks.

Shankar Mandal, Xiaoqing Zhang, Shankar Pandey, Hanbin Mao

Abstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Mechanical Stability of DNA Corona Phase on Gold Nanospheres.Langmuir : the ACS journal of surfaces and colloids · 2022
    Article
  4. Single-Molecule Mechanochemical Sensing.Accounts of chemical research · 2022
    Article
  5. 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

4 authors.

Shankar MandalDepartment of Chemistry and Biochemistry , Kent State University , Kent , Ohio 44242 , United States.ORCID 0000-0002-2653-8760
Xiaoqing ZhangDepartment of Chemistry and Biochemistry , Kent State University , Kent , Ohio 44242 , United States.
Shankar PandeyDepartment of Chemistry and Biochemistry , Kent State University , Kent , Ohio 44242 , United States.
Hanbin MaoDepartment of Chemistry and Biochemistry , Kent State University , Kent , Ohio 44242 , United States.ORCID 0000-0002-6720-9429

Funding

Specific Recognition of G-quadruplexesR01CA236350 · NCI · KENT STATE UNIVERSITY · PI MAO, HANBIN · 2018 to 2022
$1.6M
NCI NIH HHS R01 CA236350
6 · The paper itself

Abstract

Multitasking is the pivotal feature in next-generation chemo- or bioanalyses. However, simultaneous analyses rarely exceed over three different tasks, which is ascribed to the limited space to accommodate analyzing units and the compromised signal-to-noise (S/N) level as the number of tasks increases. Here, by leveraging superior S/N of single-molecule techniques, we analyzed five microRNA biomarkers by spatially encoding miRNA recognition units with nanometers resolution in a DNA template, while decoding the analyte binding temporally in seconds. The hairpin stem is interspersed by internal loops to encode recognition units for miRNA. By mechanical unfolding of the hairpin, individual internal loops are sequentially interrogated for the binding of each miRNA. Using this so-called topochemical spatiotemporal analysis, we were able to achieve subpicomolar detection limits of miRNAs. We anticipate that this new single-molecule topochemical analysis can massively analyze single-molecule targets.

Indexed as

AnimalsBiomarkersDNAHumansLab-On-A-Chip DevicesLimit of DetectionMicroRNAsNucleic Acid ConformationSerumSerum Albumin, BovineSingle Molecule ImagingBiomarkersDNAMicroRNAsSerum Albumin, Bovine

Identifiers

PMID31553880
PMCPMC7011503

What OpenQuestion holds

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Registered trials

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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.