Evidence map›Paper›PMID 42734808›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2027

Optimized Amplicon Strategy for Long-Read Sequencing of the Chikungunya Virus Genome.

Chenyang Wu, Sara Ann Thannickal, Tommaso Cabani, Maria Gabriela Noval

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2027. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chenyang WuDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Sara Ann ThannickalDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Tommaso CabaniDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Maria Gabriela NovalDepartment of Microbiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA. maria.noval@mssm.edu.ORCID http://orcid.org/0000-0002-9140-0565

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chikungunya virus (CHIKV) is a positive-sense RNA alphavirus transmitted to humans primarily by Aedes aegypti and Aedes albopictus mosquitoes. Its global circulation and significant public health impact underscore the need to better understand the molecular mechanisms driving CHIKV pathogenesis and transmission. Although robust molecular biology methods exist for CHIKV genome sequencing, a major limitation for surveillance and research is the inability to determine whether two nucleotide variations co-occur within the same viral genome when they are separated beyond the span of typical short-read designs. Here, we describe an optimized approach for processing CHIKV RNA samples that generates large amplicons suitable for long-read nanopore sequencing. This protocol enables amplification of the complete CHIKV genome in only two or three amplicons and facilitates detection of co-occurring nucleotide variations across 4-7.5 kb within the same molecule, thereby simplifying sequencing workflows and improving resolution in studies of viral evolution.

Indexed as

Chikungunya FeverChikungunya virusGenome, ViralHigh-Throughput Nucleotide SequencingNanopore SequencingAedesAnimalsHumansRNA, ViralRNA, ViralAlphavirusAmplicon sequencingChikungunya virusLong-read sequencingNanopore sequencingViral evolution

Identifiers

PMID42734808

What OpenQuestion holds

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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.