A specific nanobody-based affinity chromatography resin as a platform for small ubiquitin-related modifier fusion protein purification.

As an excellent fusion tag for expressing heterologous proteins, yeast SUMO (small ubiquitin-related modifier) has unique advantages such as improving solubility, promoting stability, and reducing degradation, but it lacks a simple and rapid purification method. Camelid single-domain antibodies (VHHs or nanobodies) show great promise as an efficient tool in analytical application. In this study, VHHs against SUMO protein were isolated for the first time using biopanning of an immune camelid nanobody library. Among these nanobodies, VS2 demonstrated a high expression level (1.12 g L - 1), and a high affinity for SUMO (2.26 nM). Meanwhile, VHHs were coupled to agarose resins by cysteine at the C-terminal to form affinity chromatography resins. The VS2 resin showed excellent specificity and a dynamic binding capacity for SUMO, SUMO-DsbA (disulfide oxidoreductase) and SUMO-SAM (S-adenosylmethionine synthetase) were 2.41 mg/mL resin, 7.57 mg/mL resin and 16.23 mg/mL resin, respectively. Furthermore, the VS2 resin enabled one-step purification of SUMO-fusions [SUMO-Fc (human IgG1-Fc fragment), SUMO-IGF1 (human insulin-like growth factor 1), SUMO-FGF21 (human fibroblast growth factor 21), SUMO-G-CSF (human Granulocyte colony-stimulating factor), SUMO-PDGF (human platelet-derived growth factor) and SUMO-PAS200 (conformationally disordered polypeptide chains with expanded hydrodynamic volume comprising the small residues Pro, Ala-and Ser)], and maintained binding capacity and selectivity over 25 purification cycles, each including 15 min of cleaning-in-place with 0.1 M NaOH. This study demonstrated that the VS2 resin was a useful tool at the laboratory scale for one-step purification of various SUMO fusions from complex mixtures.

LRRC superfamily expression in stromal cells predicts the clinical prognosis and platinum resistance of ovarian cancer.

BACKGROUND: Leucine-rich repeat sequence domains are known to mediate protein‒protein interactions. Recently, some studies showed that members of the leucine rich repeat containing (LRRC) protein superfamily may become new targets for the diagnosis and treatment of tumours. However, it is not known whether any of the LRRC superfamily genes is expressed in the stroma of ovarian cancer (OC) and is associated with prognosis. METHODS: The clinical data and transcriptional profiles of OC patients from the public databases TCGA (n = 427), GTEx (n = 88) and GEO (GSE40266 and GSE40595) were analysed by R software. A nomogram model was also generated through R. An online public database was used for auxiliary analysis of prognosis, immune infiltration and protein‒protein interaction (PPI) networks. Immunohistochemistry and qPCR were performed to determine the protein and mRNA levels of genes in high-grade serous ovarian cancer (HGSC) tissues of participants and the MRC-5 cell line induced by TGF-ß. RESULTS: LRRC15 and LRRC32 were identified as differentially expressed genes from the LRRC superfamily by GEO transcriptome analysis. PPI network analysis suggested that they were most enriched in TGF-ß signalling. The TCGA-GTEx analysis results showed that only LRRC15 was highly expressed in both cancer-associated fibroblasts (CAFs) and the tumour stroma of OC and was related to clinical prognosis. Based on this, we developed a nomogram model to predict the incidence of adverse outcomes in OC. Moreover, LRRC15 was positively correlated with CAF infiltration and negatively correlated with CD8 + T-cell infiltration. As a single indicator, LRRC15 had the highest accuracy (AUC = 0.920) in predicting the outcome of primary platinum resistance. CONCLUSIONS: The LRRC superfamily is related to the TGF-ß pathway in the microenvironment of OC. LRRC15, as a stromal biomarker, can predict the clinical prognosis of HGSC and promote the immunosuppressive microenvironment. LRRC15 may be a potential therapeutic target for reversing primary resistance in OC.

Claudin18.2 as a potential therapeutic target for primary ovarian mucinous carcinomas and metastatic ovarian mucinous carcinomas from upper gastrointestinal primary tumours.

BACKGROUND: The vast majority of ovarian mucinous carcinomas are metastatic tumours derived from nonovarian primary cancers, typically gastrointestinal neoplasms. Therapy targeting claudin18.2 might be used in gastric, gastroesophageal junction and pancreatic cancers with high expression of claudin18.2. In this study, we aimed to profile the expression of claudin18.2 in primary ovarian mucinous carcinoma (POMC) and metastatic gastrointestinal mucinous carcinoma (MGMC). METHODS: Immunohistochemistry was used to detect claudin 18.2 expression in whole tissue sections of ovarian mucinous carcinomas, including 32 POMCs and 44 MGMCs, 23 of which were derived from upper gastrointestinal primary tumours and 21 of which were derived from lower gastrointestinal primary tumours. Immunohistochemical studies for claudin18.2, SATB2, PAX8, CK7 and CK20 were performed in all 76 cases. RESULTS: Among 76 primary and metastatic mucinous carcinomas, claudin18.2 was expressed in 56.6% (43/76) of cases. MGMCs from the upper gastrointestinal tract, including 22 derived from primary stomach tumours and one derived from a pancreas tumour, were positive for claudin 18.2 in 69.5% (16/23) of cases. MGMCs from the lower gastrointestinal tract, including 10 derived from primary appendiceal cancer and 11 derived from colorectal cancers, showed no claudin18.2 expression (0/21). The expression rate of claudin18.2 in primary ovarian mucinous neoplasms, including 22 primary ovarian mucinous carcinomas and 10 primary ovarian borderline mucinous tumours, was 84.4% (27/32). The common immunophenotypic characteristics of POMCs, upper gastrointestinal tract-derived MGMCs, and lower gastrointestinal tract-derived MGMCs were claudin18.2 + /PAX8 + /SATB2- (17/32), claudin18.2 + /PAX8-/SATB2- (16/23) and claudin18.2-/PAX8-/SATB2 + (19/21), respectively. CONCLUSION: Claudin18.2 is highly expressed in POMCs and MGMCs derived from upper gastrointestinal tract primary tumours; therefore, claudin18.2-targeted therapy might serve as a potential therapeutic strategy for POMCs and MGMCs from the upper gastrointestinal tract.

Membranous and nuclear staining of CLDN18 in HPV-independent and HPV-associated endocervical adenocarcinomas.

OBJECTIVES: A classification system for endocervical adenocarcinoma (ECA) based on high-risk human papillomavirus (HPV) status has been established; however, the immunohistochemical markers distinguishing HPV-independent and HPV-associated ECAs have not been fully described. Here, we aimed to characterize ECA immunopathological features. METHODS: We evaluated the immunohistochemical profile of CLDN18, CDX2, PAX8, p16, p53, and CEA in 60 ECAs comprising 10 HPV-independent ECAs and 50 HPV-associated ECAs. Both the membranous and nuclear expression levels of CLDN18 were analyzed. RESULTS: Membranous CLDN18 (CLDN18 [M]) was found to be expressed in the mucinous epithelium of all HPV-independent ECAs, including eight gastric-type ECAs (G-ECAs), one endometrioid ECA, and one clear cell ECA, but no nuclear CLDN18 (CLDN18 [N]) expression was detected in HPV-independent ECAs. Among HPV-associated ECAs, CLDN18 (M) expression levels in intestinal-type (I-ECAs) and usual-type ECAs (U-ECAs) were significantly different from those in invasive stratified mucin-producing (iSMILE) carcinomas (p = 0.036). Positive CLDN18 (M) staining was present in 55.6% (5/9) of intestinal-type and 39.4% (13/33) of usual-type ECAs and was not present in iSMILE ECAs. Silva pattern C cancers expressed higher levels of CLDN18 (M) than Silva pattern A and B cancers (p = 0.004), whereas the CLDN18 (N) expression levels in cancers showing Silva pattern A were significantly higher than those in cancers exhibiting Silva patterns B and C (p < 0.001). CONCLUSION: Membranous CLDN18 is expressed in ECAs and is particularly frequently expressed in HPV-independent ECAs, and membranous CLDN18 expression has potential as a therapeutic target. Nuclear staining of CLDN18 is a new immunohistochemical marker for diagnosing Silva pattern A HPV-associated ECAs and is associated with a good prognosis. Further studies should investigate the therapeutic and prognostic significance of membranous and nuclear CLDN18 expression and develop a related test that can be implemented in the clinical evaluation of ECAs.

SLC7A1 Overexpression Is Involved in Energy Metabolism Reprogramming to Induce Tumor Progression in Epithelial Ovarian Cancer and Is Associated with Immune-Infiltrating Cells.

Cationic amino acid transporters (SLC7A1/CAT1) are highly expressed in human ovarian cancer (OC) tissues. However, the specific biological functions and mechanisms involved remain unclear. We used bioinformatics analysis to explore SLC7A1 expression level, prognostic value, and tumor mutation burden (TMB) in ovarian cancer (OC) tissues. We performed in vitro experiments to identify the expression and biological function of SLC7A1 in epithelial ovarian cancer (EOC) tissues and cells. An amino acid autoanalyzer was used to detect the effect of SLC7A1 on amino acid metabolism in EOC cells. Finally, SLC7A1 in OC was evaluated for cell-to-cell signalling and immune infiltration using online databases. We found that increased SLC7A1 expression in EOC cells and tissues was associated with poorer survival outcomes (P < 0.05) but not with tumor stage or grade of OC (P > 0.05). SLC7A1 is involved in the transport of phenylalanine and arginine in EOC cells, and its knockdown reduced the proliferation and migration of EOC cells and the resistance of cells to cisplatin. Furthermore, the TIMER database indicated that SLC7A1 overexpression was significantly positively correlated with levels of CD4+ memory resting cells, CD8+ effector memory cells, M0 macrophages, and cancer-associated fibroblasts (CAFs) in OC (P < 0.05) and significantly negatively correlated with CD4+ memory-activated cells (P < 0.05). Cell immunofluorescence indicated that SLC7A1 overexpression may affect the distribution of immune-infiltrating lymphocytes in tumors by inhibiting the expression of CCL4. Therefore, we concluded that SLC7A1 is involved in the metabolic remodelling of amino acids in EOC to promote tumor development and cisplatin resistance and is related to the tumor-infiltrating immune microenvironment of OC. SLC7A1 is a biomarker for predicting EOC progression and cisplatin resistance and represents a promising target for EOC treatment.

[Study on the transgenic tobacco expressing truncated wheat cold shock protein gene TA3-13 and analysis of disease resistance].

TA3-13 is a truncated gene coding for the fragment of wheat (Triticum aestivum L.) cold shock protein WCP1. It has been shown previously that the procaryotically expressed TA3-13 can induce resistance to Tobacco mosaic virus (TMV) when sprayed onto plant leaves. In this study, we constructed an expression vector pB-3-13 by cloning TA3-13 into the bionary vector pBI121 and transformed it into Agrobacterium tumefaciense strain EHA105 via freeze-thaw method. Tobacco (Nicotiana tobacum cv. Xanthi nc.) transformation was performed using the leaf disc infection method. After screening on MS medium containing kanamycin and PCR analysis, 33 T0 plantlets were identified as transgenic. Seeds from twenty T0 plants were collected and planted as T1 lines. Two T1 lines were selected for further characterization. PCR and GUS staining analysis showed that TA3-13 was integrated into the T1 tobacco genome and expressed. When inoculated on leaves, the transgenic tobacco showed significant resistance against TMV and rot pathogen Pectobactrium carotovorum subsp. carotovorum. These results suggest that the expression of TA3-13 in tobacco can induce defense responses to pathogen infection.

Sweeping with electrokinetic injection and analyte focusing by micelle collapse in two-dimensional separation via integration of micellar electrokinetic chromatography with capillary zone electrophoresis.

A novel integrated concentration/separation approach involving online combination of sweeping with electrokinetic injection and analyte focusing by micelle collapse (AFMC) with heart-cutting two-dimensional (2D) capillary electrophoresis (CE) in a single capillary was developed for analysis of Herba Leonuri and mouse blood samples. First, a new sweeping with an electrokinetic injection preconcentration method was developed to inject a large volume sample solution and significantly enhance detection sensitivity. Then, the preconcentration scheme was integrated to the 2D-CE to provide significant analyte concentration and extremely high resolving power. The sample was preconcentrated by sweeping with electrokinetic injection and separated in first dimension micellar electrokinetic chromatography (MEKC). Then, only a desirable fraction of the first dimension separation was transferred into the second dimension of the capillary by pressure and further analyzed by capillary zone electrophoresis (CZE) acting as the second dimension. As the key to successful integration of MEKC and CZE, an AFMC step was integrated between the two dimensions to release analytes from the micelle interior to a liquid zone and to overcome the sample zone diffusion caused by mobilization pressure. The injected sample plug lengths for flavonoids under 15 kV for 60 min were experimentally estimated as 546 cm. The dual concentration methods resulted in the increased detection factors of 6000-fold relative to the traditional pressure injection method. The relative standard deviation (RSD) values of peak height, peak area, and migration time were 2.7-4.5%, 1.9-4.3%, and 4.7-6.8% (n = 10), respectively. The limits of detection (S/N = 3) were in the range of 7.3-36.4 ng/L, and the theoretical plate numbers (N) were in the range of 1.7-4.3 × 10(4) plates/m. This method has been successfully applied to determine flavonoids in Herba Leonuri and postdosing mouse blood samples. The pharmacokinetic study also demonstrated that the proposed concentration/separation method was convenient and sensitive and would become an attractively alternative method for online sample concentration and separation in complex samples.