Evidence map›Paper›PMID 33866136›Full record

ArticleBiosensors & bioelectronics2021

Rapid and accurate nucleobase detection using FnCas9 and its application in COVID-19 diagnosis.

Mohd Azhar, Rhythm Phutela, Manoj Kumar, Asgar Hussain Ansari, Riya Rauthan, Sneha Gulati, Namrata Sharma, Dipanjali Sinha, Saumya Sharma, Sunaina Singh and 17 more

Abstract read
In one paragraph

Article in Biosensors & bioelectronics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed, 3 pooled it
–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

70 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
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  4. Review
  5. Article
  6. Bacteria as living biosensors for DNA.Nature reviews bioengineering · 2026
    Article
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  15. A Critical Review of the CRISPR-Cas Technology in the Detection of SARS-CoV-2 Variants.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Review
  16. Article
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10 more citing papers are in PubMed but not listed here.

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

27 authors.

Mohd AzharCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
Rhythm PhutelaCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
Manoj KumarCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
Asgar Hussain AnsariCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
Riya RauthanCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
Sneha GulatiCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.
Namrata SharmaCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.
Dipanjali SinhaCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
Saumya SharmaCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
Sunaina SinghCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.
Sundaram AcharyaCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
Sajal SarkarCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.
Deepanjan PaulCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.
Poorti KathpaliaCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.
Meghali AichCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
Paras SehgalCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
Gyan RanjanCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
Rahul C BhoyarCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India.
Indian CoV2 Genomics & Genetic Epidemiology (IndiCovGEN) Consortium
Khushboo SinghalCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India.
Harsha LadCSIR-Sickle Cell Anemia Mission Laboratory, Chhattisgarh Institute of Medical Sciences, Bilaspur, 495001, Chhattisgarh, India.
Pradeep Kumar PatraCSIR-Sickle Cell Anemia Mission Laboratory, Chhattisgarh Institute of Medical Sciences, Bilaspur, 495001, Chhattisgarh, India.
Govind MakhariaAll India Institute of Medical Sciences, Ansari Nagar East, New Delhi, 110029, India.
Giriraj Ratan ChandakCSIR-Center for Cellular and Molecular Biology, Uppal Road, Hyderabad, Telengana, 500007, India.
Bala PesalaCSIR-Central Electronics Engineering Research Institute, Chennai, India.
Debojyoti ChakrabortyCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India. Electronic address: debojyoti.chakraborty@igib.in.
Souvik MaitiCSIR-Institute of Genomics & Integrative Biology, Mathura Road, New Delhi, 110025, India; Academy of Scientific & Innovative Research (AcSIR), Ghaziabad, 201002, India; CSIR-National Chemical Laboratory, Dr. Homi Bhabha Road, Pune, 411008, India. Electronic address: souvik@igib.res.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid detection of DNA/RNA pathogenic sequences or variants through point-of-care diagnostics is valuable for accelerated clinical prognosis, as witnessed during the recent COVID-19 outbreak. Traditional methods relying on qPCR or sequencing are tough to implement with limited resources, necessitating the development of accurate and robust alternative strategies. Here, we report FnCas9 Editor Linked Uniform Detection Assay (FELUDA) that utilizes a direct Cas9 based enzymatic readout for detecting nucleobase and nucleotide sequences without trans-cleavage of reporter molecules. We also demonstrate that FELUDA is 100% accurate in detecting single nucleotide variants (SNVs), including heterozygous carriers, and present a simple web-tool JATAYU to aid end-users. FELUDA is semi-quantitative, can adapt to multiple signal detection platforms, and deploy for versatile applications such as molecular diagnosis during infectious disease outbreaks like COVID-19. Employing a lateral flow readout, FELUDA shows 100% sensitivity and 97% specificity across all ranges of viral loads in clinical samples within 1hr. In combination with RT-RPA and a smartphone application True Outcome Predicted via Strip Evaluation (TOPSE), we present a prototype for FELUDA for CoV-2 detection closer to home.

Indexed as

Biosensing TechniquesCOVID-19COVID-19 TestingHumansRNA, ViralSARS-CoV-2Sensitivity and SpecificityRNA, ViralCRISPRDxFELUDAFnCas9LFASARS-CoV2SNV detection

Identifiers

PMID33866136
PMCPMC8020606

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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.