Evidence map›Paper›PMID 36494593›Full record

ReviewMolecular biotechnology2023

The SHERLOCK Platform: An Insight into Advances in Viral Disease Diagnosis.

Ambreen Zahra, Ayesha Shahid, Amen Shamim, Sultan Habibullah Khan, Muhammad Imran Arshad

Open access · bronzeAbstract readReview
In one paragraph

Review in Molecular biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

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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

5 authors at 1 institution in 1 country.

Ambreen ZahraCenter for Advanced Studies (CAS) for Agriculture and Food Security, One Health Lab, University of Agriculture, Faisalabad, 38000, Pakistan.
Ayesha ShahidCenter for Advanced Studies (CAS) for Agriculture and Food Security, One Health Lab, University of Agriculture, Faisalabad, 38000, Pakistan.
Amen ShamimCenter for Advanced Studies (CAS) for Agriculture and Food Security, One Health Lab, University of Agriculture, Faisalabad, 38000, Pakistan.
Sultan Habibullah KhanCenter for Advanced Studies (CAS) for Agriculture and Food Security, One Health Lab, University of Agriculture, Faisalabad, 38000, Pakistan.
Muhammad Imran ArshadCenter for Advanced Studies (CAS) for Agriculture and Food Security, One Health Lab, University of Agriculture, Faisalabad, 38000, Pakistan. drimranarshad@yahoo.com.ORCID http://orcid.org/0000-0003-2218-9054
University of Agriculture Faisalabad · PK

Funding

Ministry of Science and Technology, Pakistan DDWP-2021
6 · The paper itself

Abstract

Persistence and prevalence of microbial diseases (pandemics, epidemics) is the most alarming threats to the human resulting in huge health and economic losses. Rapid detection and understanding of the disease dynamics by molecular biotechnology tools allow for robust reporting, treatment and control of diseases. As per WHO, the optimal diagnostic approach should be quick, specific, sensitive, without a stringed instrument, and low cost. The drawbacks of traditional detection techniques promote the use of CRISPR-mediated nucleic acid detection methods such as SHERLOCK as detection method. It takes advantage of the unexpected in vitro features of CRISPR-Cas system to develop field-deployable sensitive detection tools. Previously, CRISPR-mediated diagnostic methods have extensively been reviewed particularly for SARS-COV-2 detection, but it fails to provide the insight into advances of this technique. This study is the first attempt to review the advances of SHERLOCK approach as diagnostic tool for viral diseases detection. Variations of SHERLOCK mechanism for improved efficiency are discussed. Particularly integrated SHERLOCK approaches in terms of extraction-free assay and Bluetooth-enabled detection are reviewed to access their feasibility for the development of simpler and cost-effective diagnostic toolkits. Insight in to perks and limitations of diagnostic methods indicates its potential as ultimate diagnostic instrument for disease management.

Indexed as

COVID-19SARS-CoV-2COVID-19 TestingHumansCOVID-19CRISPRDiagnosticsInfectious diseasesRobust techniquesSHERLOCK

Identifiers

PMID36494593
PMCPMC9735230
OpenAlexW4311293133

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.