Erratum to “Development of immobilized enzyme reactors for the characterization of the glycosylation heterogeneity of a protein” [Talanta 206 (2020) 120171]

The Power of Trypsin Immobilized Enzyme Reactors (IMERs) Deployed in Online MDLC–MS Applications

Immobilized enzyme reactors (IMERs) are a powerful and essential part of multidimensional liquid chromatography–tandem mass spectrometry (MDLC–MS/MS) approaches that enable online identification, characterization, and quantification of post-translational modifications of therapeutic antibodies. This review gives an overview of commercially available and selected trypsin IMERs in regard to their application in LC-based and automated sample preparation. Additionally, we address the challenges of IMER application in online systems and the advantages of self-made IMERs.

Constructing a novel competing Endogenous RNAs network based on NR3C1 and X-linked inhibitor of apoptosis protein genes reveals potential prognostic biomarkers in colorectal cancer

Background:

Long noncoding RNAs (lncRNAs) have been recognized as the main modulatory molecules in various cancers and perform as competing endogenous RNAs (ceRNAs). The nuclear hormone receptor superfamily of ligand-activated transcription factors (NR3C1) regulates numerous proliferative and metabolic processes such as tumorigenesis and metabolic diseases. Furthermore, X-linked inhibitor of apoptosis protein (XIAP) belongs to a family of the inhibitors of apoptosis proteins, is located downstream of the glucocorticoid receptor (GR or NR3C1) pathway, and cooperates with GR to suppress apoptosis. However, the underlying mechanisms of NR3C1 and XIAP in colorectal cancer (CRC) remain mainly unclear. This research aims to clarify the potential RNA biomarkers and to construct a novel ceRNA network in CRC.

Materials and Methods:

Multistep bioinformatics methods such as Lnc2cancer and miRDB databases were applied to identify candidate lncRNAs and miRNAs. The interaction energy between lncRNAs, NR3C1, and XIAP genes was analyzed by the LncRRIsearch database. Plus, microRNAs and lncRNA were evaluated via the Diana tools database to select microRNAs with the most binding scores. Quantitative reverse transcription–polymerase chain reaction (QRT-PCR) was applied to verify RNA molecules’ expression levels and their association with the clinicopathological factors in 30 CRC tissues compared to 30 adjacent tissues.

Results:

QRT-PCR showed upregulation of KCNQ1OT1, NR3C1, and XIAP and downregulation of miR-421. The ceRNA network was constructed with 17 lncRNAs, 2 mRNAs, and 42 miRNAs. Thus, we explained the potential interactions between KCNQ1OT1 and miR-421 with NR3C1 and XIAP genes.

Conclusion:

Our study represents potential prognostic biomarkers and a new ceRNA network for further study in CRC.