ReviewFuture microbiology2010
Host-microbe interaction systems biology: lifecycle transcriptomics and comparative genomics.
Review in Future microbiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 15 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
15 citing papers in PubMed, 29 citations in OpenAlex.
- In silico characterization, docking, and simulations to understand host-pathogen interactions in an effort to enhance crop production in date palms.Journal of molecular modeling · 2021Article
- Rediscovering a Forgotten System of Symbiosis: Historical Perspective and Future Potential.Genes · 2020Review
- Study on the differential gene expression of elm leaves fed on by Tetraneura akinire Sasaki.Genes & genomics · 2019Article
- Prediction of microbe-disease association from the integration of neighbor and graph with collaborative recommendation model.Journal of translational medicine · 2017Article
- In vivo expression technology and 5' end mapping of the Borrelia burgdorferi transcriptome identify novel RNAs expressed during mammalian infection.Nucleic acids research · 2017Article
- Trachoma and Ocular Chlamydial Infection in the Era of Genomics.Mediators of inflammation · 2015Review
- Multi-omic network signatures of disease.Frontiers in genetics · 2014Article
- Interspecies protein-protein interaction network construction for characterization of host-pathogen interactions: a Candida albicans-zebrafish interaction study.BMC systems biology · 2013Article
- Cell extract-containing medium for culture of intracellular fastidious bacteria.Journal of clinical microbiology · 2013Article
- 21st century natural product research and drug development and traditional medicines.Natural product reports · 2013Review
- Systems biology of host-fungus interactions: turning complexity into simplicity.Current opinion in microbiology · 2012Review
- Characterization and identification of productivity-associated rhizobacteria in wheat.Applied and environmental microbiology · 2012Article
- RNA-seq based transcriptional map of bovine respiratory disease pathogen "Histophilus somni 2336".PloS one · 2012Article
- From transcriptional landscapes to the identification of biomarkers for robustness.Microbial cell factories · 2011Review
- Systems biology approaches to understanding mycobacterial survival mechanisms.Drug discovery today. Disease mechanisms · 2010Article
Corrections and comments
- Erratum issuedOhmsland, Anders [corrected to Omsland, Anders]
Authors and funding
17 authors at 2 institutions in 1 country.
Funding
Abstract
The use of microarray and comparative genomic technologies for the analysis of host-pathogen interactions has led to a greater understanding of the biological systems involved in infectious disease processes. Transcriptome analysis of intracellular pathogens at single or multiple time points during infection offers insight into the pathogen intracellular lifecycle. Host-pathogen transcriptome analysis in vivo, over time, enables characterization of both the pathogen and the host during the dynamic, multicellular host response. Comparative genomics using hybridization microarray-based comparative whole-genome resequencing or de novo whole-genome sequencing can identify the genetic factors responsible for pathogen evolutionary divergence, emergence, reemergence or the genetic basis for different pathogenic phenotypes. Together, microarray and comparative genomic technologies will continue to advance our understanding of pathogen evolution and assist in combating human infectious disease.
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.