Non-coding RNAs-glycolysis axis in cancer therapy resistance: Insight into mechanism to therapeutic solution.

Despite advancements in cancer therapy, including radiotherapy and chemotherapy, resistance to cancer treatment remains a significant clinical challenge. Metabolic reprogramming and dysfunctional glycolysis, a defining characteristic of cancer cells, are commonly observed in drug-resistant cancer cells. Besides glycolytic enzymes, several signaling molecules-including EGFR, HIF-1α, AMPK, and β-catenin-are involved in the regulation of glycolysis and play crucial roles in mediating resistance to cancer therapy.

Therapeutic Implications of Traditional Chinese Medicine in Clinically Relevant Diseases: Perspectives From microRNA-Modulated Apoptotic Signaling.

Traditional Chinese medicines (TCMs) have been employed as a potent therapeutic modality within Chinese cultural contexts to address a spectrum of diseases. MicroRNAs (miRNAs) are endogenous, non-coding RNA (ncRNA) molecules that regulate genetic expression via post-transcriptional mechanisms. By modulating miRNA expression, TCMs have been proven to confer protective benefits, notably by facilitating apoptosis induction.

ELISA protein detector (EPD): A Python-based ELISA tool for accurate low-level protein quantification.

The enzyme-linked immunosorbent assay (ELISA) is a cornerstone technique for quantifying protein secretion in biological research. However, the built-in software provided by ELISA plate readers often struggles to accurately detect low-concentration proteins, particularly in the sub-nanogram/mL range, due to limitations in calibration curve fitting. We developed the ELISA Protein Detector (EPD) to overcome these challenges.