A signal recognition particle receptor gene from the sea cucumber, Apostichopus japonicas.
Journal
Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288
Informations de publication
Date de publication:
27 Dec 2023
27 Dec 2023
Historique:
received:
27
09
2023
accepted:
18
12
2023
medline:
28
12
2023
pubmed:
28
12
2023
entrez:
27
12
2023
Statut:
epublish
Résumé
The signal recognition particle (SRP) system delivers approximately 30% of the proteome to the endoplasmic reticulum (ER) membrane. SRP receptor alpha (SRα) binds to SRP for targeting nascent secreted proteins to the ER membrane in eukaryotic cells. In this study, the SRα homologous gene was identified in the sea cucumber, Apostichopus japonicus (AjSRα). AjSRα codes for 641 amino acids and has 54.94% identity with its mammalian homologs. Like mammalian SRα, it is expected to contain the SRP-alpha N domain, SRP54_N domain, and SRP54 domain. In addition, AjSRα is ubiquitously expressed in adult tissues and exhibits a sexually dimorphic expression pattern, with significantly higher expression in ovaries compared to testes. As a maternal factor, AjSRα can be continuously detected during embryonic development. Importantly, we first attempted to investigate its function by using lentiviral vectors for delivering SRα gene-specific shRNA, and we revealed that lentiviral vectors do not induce an upregulation of immune-related enzymes in sea cucumbers. However, compared to the dsRNA-based RNA interference (RNAi) method, lentivirus-mediated RNAi caused dynamic changes in gene expression at a later time. This study supplied the technical support for studying the functional mechanism of SRα in sea cucumbers.
Identifiants
pubmed: 38151522
doi: 10.1038/s41598-023-50320-z
pii: 10.1038/s41598-023-50320-z
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
22973Subventions
Organisme : General Project of Department of Education in Liaoning Province
ID : LJKMZ20221119
Organisme : Liaoning Province "Xingliao Talent Plan" project
ID : (XLYC2002107)
Informations de copyright
© 2023. The Author(s).
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