ReviewGenomics, proteomics & bioinformatics2010
Transcriptomics and proteomics in the study of H1N1 2009.
Review in Genomics, proteomics & bioinformatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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.
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
11 citing papers in PubMed.
- Transcriptomics and network pharmacology reveal that baicalin alleviates acute lung injury induced by H1N1 via targeting STAT1.Archives of microbiology · 2026Article
- Profiling Plant Proteome and Transcriptome Changes during Grapevine Fanleaf Virus Infection.Journal of proteome research · 2023Article
- Selenium nanoparticles inhibited H1N1 influenza virus-induced apoptosis by ROS-mediated signaling pathways.RSC advances · 2022Article
- Differential Gene Sets Profiling in Gram-Negative and Gram-Positive Sepsis.Frontiers in cellular and infection microbiology · 2022Article
- Differential proteomic analysis of respiratory samples from patients suffering from influenza.Virusdisease · 2016Article
- Systems biology unravels interferon responses to respiratory virus infections.World journal of biological chemistry · 2014Review
- Identifying proteins controlling key disease signaling pathways.Bioinformatics (Oxford, England) · 2013Article
- Identification of Host Kinase Genes Required for Influenza Virus Replication and the Regulatory Role of MicroRNAs.PloS one · 2013Article
- Response of primary human airway epithelial cells to influenza infection: a quantitative proteomic study.Journal of proteome research · 2012Article
- Gram-negative and Gram-positive bacterial infections give rise to a different metabolic response in a mouse model.Journal of proteome research · 2012Article
- Conserved host response to highly pathogenic avian influenza virus infection in human cell culture, mouse and macaque model systems.BMC systems biology · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Influenza A virus (H1N1) 2009, a new swine-origin influenza A virus, has been spread worldwidely and caused great public fear. High-throughput transcriptomics and proteomics methods are now being used to identify H1N1 and H1N1-host interaction. This article reviews recent transcriptomics and proteomics research in H1N1 diagnosis, treatment, and H1N1 virus-host interaction, to offer some help for further understanding the infection mechanism and controlling H1N1 transmission.
Indexed as
Identifiers
What OpenQuestion holds
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.