Evidence map›Paper›PMID 40641555›Full record

ArticleiScience2025

Suboptimal dengue genome leverages non-canonical translation mechanisms.

Priyanka Mehta, Priti Devi, Sandeep Budhiraja, Bansidhar Tarai, Rajesh Pandey

Abstract read
In one paragraph

Article in iScience, 2025. 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

5 authors.

Priyanka MehtaDivision of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India.
Priti DeviDivision of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India.
Sandeep BudhirajaMax Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, Delhi 110017, India.
Bansidhar TaraiMax Super Speciality Hospital (A Unit of Devki Devi Foundation), Max Healthcare, Delhi 110017, India.
Rajesh PandeyDivision of Immunology and Infectious Disease Biology, INtegrative GENomics of HOst-PathogEn (INGEN-HOPE) Laboratory, CSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mall Road, Delhi 110007, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue is a notable example of vector-borne RNA virus responsible for severe hemorrhagic fever. Its compact genome necessitates reliance on the host's translational machinery for replication. This study investigates the plausible adaptive strategies employed by dengue serotypes for effective translation within the human host. By analyzing viral reads from the RNA-seq dataset derived from the hospital-admitted patients, we explored the impact of dinucleotide diversity on codon optimization, and compatibility of serotypes with the host. Our findings reveal only moderate congruency of serotypes with the host and identified genomic composition common to several RNA viruses. Notably, unique coverage patterns were observed within the genome of DENV-2 serotypes. Using ribosome profileing (Ribo-seq) data, we extended our analysis to assess the translatability of potential internal open reading frames (iORFs) identified in the RNA-seq dataset. Nine common iORFs were identified across both the datasets, underscoring potential non-canonical translational mechanisms that might enhance DENV genome optimization.

Indexed as

GenomicsMicrobiology

Identifiers

PMID40641555
PMCPMC12245444

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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.