Crosstalk of TetR-like regulator SACE_4839 and a nitrogen regulator for erythromycin biosynthesis.

TetR family transcriptional regulators (TFRs) are widespread in actinomycetes, which exhibit diverse regulatory modes in antibiotic biosynthesis. Nitrogen regulators play vital roles in modulation of primary and secondary metabolism. However, crosstalk between TFR and nitrogen regulator has rarely been reported in actinomycetes. Herein, we demonstrated that a novel TFR, SACE_4839, was negatively correlated with erythromycin yield in Saccharopolyspora erythraea A226. SACE_4839 indirectly suppressed erythromycin synthetic gene eryAI and resistance gene ermE and directly inhibited its adjacent gene SACE_4838 encoding a homologue of nitrogen metabolite repression (NMR) regulator NmrA (herein named NmrR). The SACE_4839-binding sites within SACE_4839-nmrR intergenic region were identified. NmrR positively controlled erythromycin biosynthesis by indirectly stimulating eryAI and ermE and directly repressing SACE_4839. NmrR was found to affect growth viability under the nitrogen source supply. Furthermore, NmrR directly repressed glutamine and glutamate utilization-related genes SACE_1623, SACE_5070 and SACE_5979 but activated nitrate utilization-associated genes SACE_1163, SACE_4070 and SACE_4912 as well as nitrite utilization-associated genes SACE_1476 and SACE_4514. This is the first reported NmrA homolog for modulating antibiotic biosynthesis and nitrogen metabolism in actinomycetes. Moreover, combinatorial engineering of SACE_4839 and nmrR in the high-yield S. erythraea WB resulted in a 68.8% increase in erythromycin A production. This investigation deepens the understanding of complicated regulatory network for erythromycin biosynthesis. KEY POINTS: • SACE_4839 and NmrR had opposite contributions to erythromycin biosynthesis. • NmrR was first identified as a homolog of another nitrogen regulator NmrA. • Cross regulation between SACE_4839 and NmrR was revealed.

REEP3 is a potential diagnostic and prognostic biomarker correlated with immune infiltration in pancreatic cancer.

Receptor Expression-Enhancing Protein 3 (REEP3) serves as a pivotal enzyme crucial for endoplasmic reticulum (ER) clearance during mitosis and is implicated in the advancement of diverse malignancies. Nonetheless, the biological role and mechanisms of REEP3 in pancreatic cancer patients, along with its interplay with immune infiltration, remain inadequately elucidated. In this study, we initially analyzed the differential expression of REEP3 between pancreatic cancer tissues and normal pancreas tissues using the Cancer Genome Atlas (TCGA), GTEx and Gene Expression Omnibus (GEO) databases. Subsequently, we utilized Kaplan-Meier analysis, Cox regression and ROC curve to determine the predictive value of REEP3 for the clinical outcomes of pancreatic cancer patients. Functional enrichment analyses, including Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG) and Gene Set Enrichment Analysis (GSEA), were conducted to explore the potential signaling pathways and biological functions associated with pancreatic cancer. Furthermore, we investigated the PPI network, miRNA, RBP and transcription factor interactions of REEP3 using databases such as GeneMania, STRING, StarBase, KnockTK, ENCODE, Jaspar and hTFtarget. Lastly, the "ssGSEA" algorithm and TIMER database were employed to investigate the correlation between REEP3 expression and immune infiltration as well as immune checkpoints. The expression of REEP3 in pancreatic cancer showed a significantly higher level compared to that in normal tissues. ROC curve analysis indicated that REEP3 holds substantial diagnostic potential for pancreatic cancer patients. Elevated REEP3 expression correlated with unfavorable outcomes in terms of both overall survival and relapse-free survival, establishing it as a notable adverse prognostic marker in pancreatic cancer. Moreover, both univariate and multivariate Cox regression analyses demonstrated that REEP3 maintained an independent association with overall survival. Functional enrichment analyses revealed pathways significantly linked to REEP3, including cytoplasmic translation, wound healing, viral processes, regulation of cellular component size and actin filament organization. Additionally, REEP3 expression displayed a significant positive correlation with CD8+ T cells, B cells, natural killer cells, dendritic cells and macrophages. REEP3 is a potential diagnostic, prognostic marker and immunotherapeutic target for pancreatic cancer.