Evidence map›Paper›PMID 35367703›Full record

ArticleBiosensors & bioelectronics2022

Probing the mutation independent interaction of DNA probes with SARS-CoV-2 variants through a combination of surface-enhanced Raman scattering and machine learning.

Parikshit Moitra, Ardalan Chaichi, Syed Mohammad Abid Hasan, Ketan Dighe, Maha Alafeef, Alisha Prasad, Manas Ranjan Gartia, Dipanjan Pan

Open access · greenAbstract read
In one paragraph

Article in Biosensors & bioelectronics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.4field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 57 citations in OpenAlex.

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  12. Optical lateral flow assays in early diagnosis of SARS-CoV-2 infection.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2024
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  17. Development of practical techniques for simultaneous detection and distinction of current and emerging SARS-CoV-2 variants.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2023
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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

8 authors at 2 institutions in 2 countries.

Parikshit MoitraDepartment of Pediatrics, Center for Blood Oxygen Transport and Hemostasis, University of Maryland Baltimore School of Medicine, Baltimore, MD, 21201, United States.
Ardalan ChaichiDepartment of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA, 70803, United States.
Syed Mohammad Abid HasanDepartment of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA, 70803, United States.
Ketan DigheDepartment of Pediatrics, Center for Blood Oxygen Transport and Hemostasis, University of Maryland Baltimore School of Medicine, Baltimore, MD, 21201, United States; Department of Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, Baltimore, MD, 21250, United States.
Maha AlafeefDepartment of Pediatrics, Center for Blood Oxygen Transport and Hemostasis, University of Maryland Baltimore School of Medicine, Baltimore, MD, 21201, United States; Bioengineering Department, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, United States; Department of Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, Baltimore, MD, 21250, United States; Biomedical Engineering Department, Jordan University of Science and Technology, Irbid, 22110, Jordan.
Alisha PrasadDepartment of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA, 70803, United States.
Manas Ranjan GartiaDepartment of Mechanical and Industrial Engineering, Louisiana State University, Baton Rouge, LA, 70803, United States. Electronic address: mgartia@lsu.edu.
Dipanjan PanDepartment of Pediatrics, Center for Blood Oxygen Transport and Hemostasis, University of Maryland Baltimore School of Medicine, Baltimore, MD, 21201, United States; Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland Baltimore School of Medicine, Baltimore, MD, 21201, United States; Bioengineering Department, University of Illinois at Urbana-Champaign, Urbana, IL, 61801, United States; Department of Chemical, Biochemical, and Environmental Engineering, University of Maryland Baltimore County, Baltimore, MD, 21250, United States. Electronic address: dipanjan@som.umaryland.edu.
Louisiana State University · USUniversity of Maryland, Baltimore · US

Funding

A Sensing Platform for Rapid at Home-Test of COVID-19R03EB028026 · NIBIB · UNIVERSITY OF MARYLAND BALTIMORE COUNTY · PI PAN, DIPANJAN · 2019 to 2020
$300k
NIBIB NIH HHS R03 EB028026
6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) evolution has been characterized by the emergence of sets of mutations impacting the virus characteristics, such as transmissibility and antigenicity, presumably in response to the changing immune profile of the human population. The presence of mutations in the SARS-CoV-2 virus can potentially impact therapeutic and diagnostic test performances. We design and develop here a unique set of DNA probes i.e., antisense oligonucleotides (ASOs) which can interact with genetic sequences of the virus irrespective of its ongoing mutations. The probes, developed herein, target a specific segment of the nucleocapsid phosphoprotein (N) gene of SARS-CoV-2 with high binding efficiency which do not mutate among the known variants. Further probing into the interaction profile of the ASOs reveals that the ASO-RNA hybridization remains unaltered even for a hypothetical single point mutation at the target RNA site and diminished only in case of the hypothetical double or triple point mutations. The mechanism of interaction among the ASOs and SARS-CoV-2 RNA is then explored with a combination of surface-enhanced Raman scattering (SERS) and machine learning techniques. It has been observed that the technique, described herein, could efficiently discriminate between clinically positive and negative samples with ∼100% sensitivity and ∼90% specificity up to 63 copies/mL of SARS-CoV-2 RNA concentration. Thus, this study establishes N gene targeted ASOs as the fundamental machinery to efficiently detect all the current SARS-CoV-2 variants regardless of their mutations.

Indexed as

Biosensing TechniquesCOVID-19DNA ProbesHumansMachine LearningMutationRNA, ViralSARS-CoV-2Spectrum Analysis, RamanDNA ProbesRNA, ViralAntisense oligonucleotideMutation resistant probeSARS-CoV-2 variantsSelective and ultrasensitive diagnosisSurface-enhanced Raman scattering

Identifiers

PMID35367703
PMCPMC8938299
OpenAlexW4220749192

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.