ArticleNucleic acids research2018
High-resolution analysis of the pneumococcal transcriptome under a wide range of infection-relevant conditions.
Article in Nucleic acids research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.
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Who cites it
87 citing papers in PubMed.
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- Transcriptional regulation of the pneumococcal capsule can dictate serotype-specific infection.Nature communications · 2026Article
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- Bioinformatic evaluation of ClpP as a vaccine target in Streptococcus pneumoniae.Biotechnology letters · 2026Article
- Transcriptomic analysis ofMicrobial genomics · 2025Article
- Multi-omics profiling reveals atypical sugar utilization and a key membrane composition regulator in Streptococcus pneumoniae.Nature communications · 2025Article
- Label-free microscopy enables high-throughput identification of genes controlling biofilm development.bioRxiv : the preprint server for biology · 2025Article
- Shining Light on Oral Biofilm Fluorescence In Situ Hybridization (FISH): Probing the Accuracy of In Situ Biogeography Studies.Molecular oral microbiology · 2025Article
- The global transcriptional regulator MgaSpn affects the virulence of Streptococcus pneumoniae by regulating PcpA.BMC microbiology · 2025Article
- Glucose affects capsular polysaccharides synthesis via CcpA and HPr in Streptococcus pneumoniae.Journal of microbiology (Seoul, Korea) · 2025Article
- HU promotes higher order chromosome organization and influences DNA replication rates in Streptococcus pneumoniae.Nucleic acids research · 2025Article
- Structure, Function, and Regulation of LytA: TheMicroorganisms · 2025Review
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- PneumoBrowse 2: an integrated visual platform for curated genome annotation and multiomics data analysis of Streptococcus pneumoniae.Nucleic acids research · 2025Article
27 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
Streptococcus pneumoniae is an opportunistic human pathogen that typically colonizes the nasopharyngeal passage and causes lethal disease in other host niches, such as the lung or the meninges. The expression and regulation of pneumococcal genes at different life-cycle stages, such as commensal or pathogenic, are not entirely understood. To chart the transcriptional responses of S. pneumoniae, we used RNA-seq to quantify the relative abundance of the transcriptome under 22 different infection-relevant conditions. The data demonstrated a high level of dynamic expression and, strikingly, all annotated pneumococcal genomic features were expressed in at least one of the studied conditions. By computing the correlation values of every pair of genes across all studied conditions, we created a co-expression matrix that provides valuable information on both operon structure and regulatory processes. The co-expression data are highly consistent with well-characterized operons and regulons, such as the PyrR, ComE and ComX regulons, and have allowed us to identify a new member of the competence regulon. Lastly, we created an interactive data center named PneumoExpress (https://veeninglab.com/pneumoexpress) that enables users to access the expression data as well as the co-expression matrix in an intuitive and efficient manner, providing a valuable resource to the pneumococcal research community.
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