Evidence map›Paper›PMID 22704476›Full record

ArticleAnalytica chimica acta2012

Unraveling virus identity by detection of depleted probes with capillary electrophoresis.

Chin-Yu Wang, Tzu-Hung Hsiao, Liang-Hui Chu, Yi-Ling Lin, Jau-Ling Huang, Chung-Hsuan Chen, Konan Peck

Open access · bronzeAbstract read
In one paragraph

Article in Analytica chimica acta, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% of its field
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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

7 authors at 3 institutions in 1 country.

Chin-Yu WangThe Genomics Research Center, Academia Sinica, Taipei 11529, Taiwan.
Tzu-Hung Hsiao
Liang-Hui Chu
Yi-Ling Lin
Jau-Ling Huang
Chung-Hsuan Chen
Konan Peck
Institute of Biomedical Sciences, Academia Sinica · TWGenomics Research Center, Academia Sinica · TWChang Jung Christian University · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the emergence of new viral infections and pandemics, there is a need to develop faster methods to unravel the virus identities in a large number of clinical samples. This report describes a virus identification method featuring high throughput, high resolution, and high sensitivity detection of viruses. Identification of virus is based on liquid hybridization of different lengths of virus-specific probes to their corresponding viruses. The probes bound to target sequences are removed by a biotin-streptavidin pull-down mechanism and the supernatant is analyzed by capillary electrophoresis. The probes depleted from the sample appear as diminished peaks in the electropherograms and the remaining probes serve as calibrators to align peaks in different capillaries. The virus identities are unraveled by a signal processing and peak detection algorithm developed in-house. Nine viruses were used in the study to demonstrate how the system works to unravel the virus identity in single and double virus infections. With properly designed probes, the system is able to distinguish closely related viruses. The system takes advantage of the high resolution feature of capillary electrophoresis to resolve probes that differ by length. The method may facilitate virus identity screen from more candidate viruses with an automated 4-color DNA sequencer.

Indexed as

Electrophoresis, CapillaryDNA ProbesHumansReal-Time Polymerase Chain ReactionSensitivity and SpecificityTime FactorsVirus DiseasesVirusesDNA Probes

Identifiers

PMID22704476
PMCPMC7094614
OpenAlexW1978645987

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.