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Last update 08 May 2025

SRPRB

Last update 08 May 2025

Basic Info

Synonyms

APMCF1, Protein APMCF1, Signal recognition particle receptor subunit beta

+ [3]

Introduction

Component of the signal recognition particle (SRP) complex receptor (SR) (By similarity). Ensures, in conjunction with the SRP complex, the correct targeting of the nascent secretory proteins to the endoplasmic reticulum membrane system (By similarity). May mediate the membrane association of SR (By similarity).

Drugs associated with SRPRB

US20240101585

Patent Mining

Target

SRPRB

Mechanism-

Active Org.

Floratek Pharma SA

Originator Org.

Floratek Pharma SA

Active Indication

Neoplasms

Inactive Indication-

Drug Highest PhaseDiscovery

First Approval Ctry. / Loc.-

First Approval Date20 Jan 1800

100 Clinical Results associated with SRPRB

100 Translational Medicine associated with SRPRB

0 Patents (Medical) associated with SRPRB

Literatures (Medical) associated with SRPRB

01 Oct 2024·Combinatorial Chemistry & High Throughput Screening

Selenomethionine Suppress the Progression of Poorly Differentiated Thyroid Cancer via LncRNA NONMMUT014201/miR-6963-5p/Srprb Pathway

Article

Author: Pan, Rongfang ; Liao, Lin ; Yao, Jinming ; Zhao, Junyu ; Gao, Yanyan

Background:Poorly differentiated thyroid cancer (PDTC) is a special type of thyroid cancer that threatens the life of the patients. Unfortunately, there are no effective treatments for PDTC right now, so it is urgent to search for new efficacious drugs. This experiment was designed to elucidate the effects of selenomethionine (SeMet) on PDTC in vitro and vivo.Methods:A xenograft animal model was used to assay the volume and weight of PDTC. LncRNA NOMMMUT014201 expression was detected by fluorescence in situ hybridization and Real-time quantitative PCR (qRT-PCR). In vitro experiments were carried on in WRO cells. The Cell Counting Kit-8 assay was performed to test the effect of SeMet on the proliferation of cells. And the migration and invasion of WRO cells by the wound-healing assay, Transwell migration and invasion assays. The cell apoptosis was measured by flow cytometry. In addition, genes related to proliferation, migration, invasion and apoptosis were detected through qRT-PCR and Western Blot.Results:SeMet inhibited the proliferation, migration and invasion and promoted the apoptosis of WRO cells in a dose-dependent manner. Then vivo, SeMet significantly suppressed the volume and weight of PDTC. And SeMet downregulated the expressions of Ki67, PCNA, MMP2, MMP9 and BCL2, but upregulated that of BAX and Cleaved-Caspase 3. Moreover, SeMet upregulated the level of LncRNA NOMMMUT014201 both vivo and in vitro. In addition, repression of LncRNA NOMMMUT014201 removed the inhibition effect of SeMet on WRO cell growth significantly (p<0.05). Further investigation showed that LncRNA NOMMMUT014201 downregulated the expression of miR-6963-5p in PDTC cells, but miR-6963-5p inhibited the level of Srprb. In addition, sh-LncRNA NOMMMUT014201 enhanced the proliferation, migration and invasion but inhibited the apoptosis of WRO cells. However, inhibited miR-6963-5p or overexpressed Srprb relieved the effects of sh-LncRNA NOMMMUT014201on WRO cells.Conclusion:Collectively, SeMet inhibits the growth of PDTC in a dose-dependent manner through LncRNA NONMMUT014201/miR-6963-5p/Srprb signal pathway, thus suggesting that SeMet might be a potential drug for PDTC treatment.

01 Nov 2023·RNA

Examining SRP pathway function in mRNA localization to the endoplasmic reticulum

Article

Author: Yang, Brenda H ; Hannigan, Molly M ; Elles, Andrew L ; Chen, Qiang ; Nicchitta, Christopher V ; Hofler, Alex C ; Reid, David W ; Kristofich, JohnCarlo ; Child, Jessica R ; Zheng, Tianli

Signal recognition particle (SRP) pathway function in protein translocation across the endoplasmic reticulum (ER) is well established; its role in RNA localization to the ER remains, however, unclear. In current models, mRNAs undergo translation- and SRP-dependent trafficking to the ER, with ER localization mediated via interactions between SRP-bound translating ribosomes and the ER-resident SRP receptor (SR), a heterodimeric complex comprising SRA, the SRP-binding subunit, and SRB, an integral membrane ER protein. To study SRP pathway function in RNA localization, SR knockout (KO) mammalian cell lines were generated and the consequences of SR KO on steady-state and dynamic mRNA localization examined. CRISPR/Cas9-mediatedSRPRBKO resulted in profound destabilization of SRA. Pairing siRNA silencing ofSRPRAinSRPRBKO cells yielded viable SR KO cells. Steady-state mRNA compositions and ER-localization patterns in parental and SR KO cells were determined by cell fractionation and deep sequencing. Notably, steady-state cytosol and ER mRNA compositions and partitioning patterns were largely unaltered by loss of SR expression. To examine SRP pathway function in RNA localization dynamics, the subcellular trafficking itineraries of newly exported mRNAs were determined by 4-thiouridine (4SU) pulse-labeling/4SU-seq/cell fractionation. Newly exported mRNAs were distinguished by high ER enrichment, with ER localization being SR-independent. Intriguingly, under conditions of translation initiation inhibition, the ER was the default localization site for all newly exported mRNAs. These data demonstrate that mRNA localization to the ER can be uncoupled from the SRP pathway function and reopen questions regarding the mechanism of RNA localization to the ER.

01 Nov 2023·Journal of cancer research and clinical oncology

Integration of scRNA-seq and bulk RNA-seq constructs a stemness-related signature for predicting prognosis and immunotherapy responses in hepatocellular carcinoma.

Article

Author: Cai, Daren ; Chen, Xinyi ; Yan, Fangrong ; Zhao, Mengmeng ; Li, Guanjie ; Wang, Xin ; Fang, Jingya

PURPOSECancer stem cells are associated with unfavorable prognosis in hepatocellular carcinoma (HCC). However, existing stemness-related biomarkers and prognostic models are limited.METHODSThe stemness-related signatures were derived from taking the union of the results obtained by performing WGCNA and CytoTRACE analysis at the bulk RNA-seq and scRNA-seq levels, respectively. Univariate Cox regression and the LASSO were applied for filtering prognosis-related signatures and selecting variables. Finally, ten gene signatures were identified to construct the prognostic model. We evaluated the differences in survival, genomic alternation, biological processes, and degree of immune cell infiltration in the high- and low-risk groups. pRRophetic and Tumor Immune Dysfunction and Exclusion (TIDE) algorithms were utilized to predict chemosensitivity and immunotherapy response. Human Protein Atlas (HPA) database was used to evaluate the protein expressions.RESULTSA stemness-related prognostic model was constructed with ten genes including YBX1, CYB5R3, CDC20, RAMP3, LDHA, MTHFS, PTRH2, SRPRB, GNA14, and CLEC3B. Kaplan-Meier and ROC curve analyses showed that the high-risk group had a worse prognosis and the AUC of the model in four datasets was greater than 0.64. Multivariate Cox regression analyses verified that the model was an independent prognostic indicator in predicting overall survival, and a nomogram was then built for clinical utility in predicting the prognosis of HCC. Additionally, chemotherapy drug sensitivity and immunotherapy response analyses revealed that the high-risk group exhibited a higher likelihood of benefiting from these treatments.CONCLUSIONThe novel stemness-related prognostic model is a promising biomarker for estimating overall survival in HCC.

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