ArticleActa parasitologica2022
Ribosomal RNA Transcription Machineries in Intestinal Protozoan Parasites: A Bioinformatic Analysis.
Article in Acta parasitologica, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 6 citations in OpenAlex.
- The ribosomal RNA transcription landscapes of Plasmodium falciparum and related apicomplexan parasites.Nucleic acids research · 2025Review
- In Silico Investigation of TATA-Binding Protein as a Therapeutic Target for Chagas Disease: Insights into FDA Drug Repositioning.Pharmaceuticals (Basel, Switzerland) · 2025Article
- TATA-Binding Protein-Based Virtual Screening of FDA Drugs Identified New Anti-Giardiasis Agents.International journal of molecular sciences · 2024Article
- The nucleolus of Giardia and its ribosomal biogenesis.Parasitology research · 2023Review
- Analysis ofPharmaceuticals (Basel, Switzerland) · 2023Review
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Authors and funding
1 author at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeRibosome biogenesis is a key process in all living organisms, energetically expensive and tightly regulated. Currently, little is known about the components of the ribosomal RNA (rRNA) transcription machinery that are present in intestinal parasites, such as Giardia duodenalis, Cryptosporidium parvum, and Entamoeba histolytica. Thus, in the present work, an analysis was carried out looking for the components of the rRNA transcription machinery that are conserved in intestinal parasites and if these could be used to design new treatment strategies.
methodsThe different components of the rRNA transcription machinery were searched in the studied parasites with the NCBI BLAST tool in the EuPathDB Bioinformatics Resource Center database. The sequences of the RRN3 and POLR1F orthologs were aligned and important regions identified. Subsequently, three-dimensional models were built with different bioinformatic tools and a structural analysis was performed.
resultsAmong the protozoa examined, C. parvum is the parasite with the fewest identifiable components of the rRNA transcription machinery. TBP, RRN3, POLR1A, POLR1B, POLR1C, POLR1D, POLR1F, POLR1H, POLR2E, POLR2F and POLR2H subunits were identified in all species studied. Furthermore, the interaction regions between RRN3 and POLR1F were found to be conserved and could be used to design drugs that inhibit rRNA transcription in the parasites studied.
conclusionThe inhibition of the rRNA transcription machinery in parasites might be a new therapeutic strategy against these microorganisms.
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