ArticleBMC research notes2021
Time-course transcriptome analysis of host cell response to poxvirus infection using a dual long-read sequencing approach.
Article in BMC research notes, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
What it found
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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.
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.
Who cites it
5 citing papers in PubMed.
- Monkeypox Virus Transcriptional Profiles and Host Responses in Skin Lesion Swabs Among Individuals With Human Immunodeficiency Virus.The Journal of infectious diseases · 2025Article
- Elucidating the Mechanism of VVTT Infection Through Machine Learning and Transcriptome Analysis.International journal of molecular sciences · 2025Article
- Exploring the transcriptomic profile of human monkeypox virus via CAGE and native RNA sequencing approaches.mSphere · 2024Article
- In-depth Temporal Transcriptome Profiling of Monkeypox and Host Cells using Nanopore Sequencing.Scientific data · 2023Article
- High temporal resolution Nanopore sequencing dataset of SARS-CoV-2 and host cell RNAs.GigaScience · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
objectiveIn this study, we applied two long-read sequencing (LRS) approaches, including single-molecule real-time and nanopore-based sequencing methods to investigate the time-lapse transcriptome patterns of host gene expression as a response to Vaccinia virus infection. Transcriptomes determined using short-read sequencing approaches are incomplete because these platforms are inefficient or fail to distinguish between polycistronic RNAs, transcript isoforms, transcriptional start sites, as well as transcriptional readthroughs and overlaps. Long-read sequencing is able to read full-length nucleic acids and can therefore be used to assemble complete transcriptome atlases.
resultsIn this work, we identified a number of novel transcripts and transcript isoforms of Chlorocebus sabaeus. Additionally, analysis of the most abundant 768 host transcripts revealed a significant overrepresentation of the class of genes in the "regulation of signaling receptor activity" Gene Ontology annotation as a result of viral infection.
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Registered trials
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.