ReviewFEMS microbiology reviews2023
Exposing the small protein load of bacterial life.
Review in FEMS microbiology reviews, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Advances in Decoding Bacterial N-Terminal Proteoforms: Technologies, Challenges, and Functional Insights.Microorganisms · 2026Review
- TRAINSPOTTER: profiling nascent protein N-termini indicative of bacterial translation initiation via deformylation-assisted N-terminomics.Nucleic acids research · 2026Article
- A light-induced microprotein triggers regulated intramembrane proteolysis to promote photo-sensing in a pathogenic bacterium.Nature communications · 2025Article
- Structure, Function, and Regulation of LytA: TheMicroorganisms · 2025Review
- RIBOSS detects novel translational events by combining long- and short-read transcriptome and translatome profiling.Briefings in bioinformatics · 2025Article
- sORFdb - a database for sORFs, small proteins, and small protein families in bacteria.BMC genomics · 2025Article
- Detection of antimicrobial peptides from fecal samples of FMT donors using deep learning.Frontiers in veterinary science · 2025Article
- An overview of computational methods for gene prediction in eukaryotes: strengths, limitations, and future directions.Bioinformatics advances · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The ever-growing repertoire of genomic techniques continues to expand our understanding of the true diversity and richness of prokaryotic genomes. Riboproteogenomics laid the foundation for dynamic studies of previously overlooked genomic elements. Most strikingly, bacterial genomes were revealed to harbor robust repertoires of small open reading frames (sORFs) encoding a diverse and broadly expressed range of small proteins, or sORF-encoded polypeptides (SEPs). In recent years, continuous efforts led to great improvements in the annotation and characterization of such proteins, yet many challenges remain to fully comprehend the pervasive nature of small proteins and their impact on bacterial biology. In this work, we review the recent developments in the dynamic field of bacterial genome reannotation, catalog the important biological roles carried out by small proteins and identify challenges obstructing the way to full understanding of these elusive proteins.
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.