ArticleFrontiers in microbiology2012
Diversity and subcellular distribution of archaeal secreted proteins.
Article in Frontiers in microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 26 citations in OpenAlex.
- Ayu: a machine intelligence tool for identification of extracellular proteins in the marine secretome.Nature communications · 2025Article
- Tat-fimbriae ("tafi"): An unusual type of haloarchaeal surface structure depending on the twin-arginine translocation pathway.iScience · 2025Article
- Activity-Based Protein Profiling for the Identification of Novel Carbohydrate-Active Enzymes Involved in Xylan Degradation in the Hyperthermophilic EuryarchaeonFrontiers in microbiology · 2021Article
- Article
- Novel Hyperthermophilic CrenarchaeonFrontiers in microbiology · 2019Article
- Archaeal biofilm formation.Nature reviews. Microbiology · 2018Review
- Archaeal cell surface biogenesis.FEMS microbiology reviews · 2018Article
- On the Archaeal Origins of Eukaryotes and the Challenges of Inferring Phenotype from Genotype.Trends in cell biology · 2016Review
- Exploring the Secretomes of Microbes and Microbial Communities Using Filamentous Phage Display.Frontiers in microbiology · 2016Review
- Membrane Association and Catabolite Repression of the Sulfolobus solfataricus α-Amylase.Microorganisms · 2015Article
- Archaeal type IV pili and their involvement in biofilm formation.Frontiers in microbiology · 2015Article
- Molecular characterization of the thioredoxin system from Methanosarcina acetivorans.The FEBS journal · 2014Article
- S-layers: principles and applications.FEMS microbiology reviews · 2014Article
- Biomimetic interfaces based on S-layer proteins, lipid membranes and functional biomolecules.Journal of the Royal Society, Interface · 2014Review
- Extracellular DNA metabolism in Haloferax volcanii.Frontiers in microbiology · 2014Article
- The modern "3G" age of archaeal molecular biology.Frontiers in microbiology · 2012Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Secreted proteins make up a significant percentage of a prokaryotic proteome and play critical roles in important cellular processes such as polymer degradation, nutrient uptake, signal transduction, cell wall biosynthesis, and motility. The majority of archaeal proteins are believed to be secreted either in an unfolded conformation via the universally conserved Sec pathway or in a folded conformation via the Twin arginine transport (Tat) pathway. Extensive in vivo and in silico analyses of N-terminal signal peptides that target proteins to these pathways have led to the development of computational tools that not only predict Sec and Tat substrates with high accuracy but also provide information about signal peptide processing and targeting. Predictions therefore include indications as to whether a substrate is a soluble secreted protein, a membrane or cell wall anchored protein, or a surface structure subunit, and whether it is targeted for post-translational modification such as glycosylation or the addition of a lipid. The use of these in silico tools, in combination with biochemical and genetic analyses of transport pathways and their substrates, has resulted in improved predictions of the subcellular localization of archaeal secreted proteins, allowing for a more accurate annotation of archaeal proteomes, and has led to the identification of potential adaptations to extreme environments, as well as phyla-specific pathways among the archaea. A more comprehensive understanding of the transport pathways used and post-translational modifications of secreted archaeal proteins will also facilitate the identification and heterologous expression of commercially valuable archaeal enzymes.
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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.