The Storage Conditions of High-Fat Diet Are the Key Factors for Diet-Induced Obesity and Liver Damage.

The diet-induced obesity (DIO) mouse model has been widely used for obesity studies. The effects of storage conditions on the composition of nutrients in high-fat diets (HFDs) and their impact on metabolic homeostasis have not been systemically investigated. In the current study, we tested the effects of HFDs stored under different conditions and found that mice fed a HFD stored in the fridge (HFDfri) gained less weight than those fed HFDs stored in the freezer (HFDfre). Further analysis revealed that changes in the relative abundance of medium-chain triglyceride (MCT) in the HFDfri, which have much lower intestinal absorption rates, contributed to the body weight differences. In contrast, exacerbated liver damage and elevated levels of unfolded protein response (UPR) was observed in the mice fed by HFDfri. Depletion of the UPR-regulated gene Nnmt alleviated liver damage via the inhibition of the integrated stress response (ISR). Our study, for the first time, provides evidence that HFD storage conditions can have a significant impact on both body weight changes and liver damage in the DIO model.

Deep transfer learning enables lesion tracing of circulating tumor cells.

Liquid biopsy offers great promise for noninvasive cancer diagnostics, while the lack of adequate target characterization and analysis hinders its wide application. Single-cell RNA sequencing (scRNA-seq) is a powerful technology for cell characterization. Integrating scRNA-seq into a CTC-focused liquid biopsy study can perhaps classify CTCs by their original lesions. However, the lack of CTC scRNA-seq data accumulation and prior knowledge hinders further development. Therefore, we design CTC-Tracer, a transfer learning-based algorithm, to correct the distributional shift between primary cancer cells and CTCs to transfer lesion labels from the primary cancer cell atlas to CTCs. The robustness and accuracy of CTC-Tracer are validated by 8 individual standard datasets. We apply CTC-Tracer on a complex dataset consisting of RNA-seq profiles of single CTCs, CTC clusters from a BRCA patient, and two xenografts, and demonstrate that CTC-Tracer has potential in knowledge transfer between different types of RNA-seq data of lesions and CTCs.

SNORA42 enhances prostate cancer cell viability, migration and EMT and is correlated with prostate cancer poor prognosis.

Prostate cancer (PCa) is one of the most common invasive cancers and the second leading cause of cancer-related death in male worldwide, reflecting the needs of diagnostic and prognostic biomarkers for PCa. Emerging evidence has revealed small nucleolar RNAs (snoRNAs) playing a significant role in tumorigenesis and cancer progression. However, there are few reports about snoRNAs in PCa. Here, we found SNORA42 rather than its host gene (KIAA0907) was up-regulated in PCa cell lines. Meanwhile, an obvious up-regulation of SNORA42 was observed in cancer tissues compared to their adjacent normal tissues. SNORA42 could be induced by DHT stimulation. Over-expression of SNORA42 increased prostate cancer cell proliferation and inhibited apoptosis. Importantly, SNORA42 increased prostate cancer cell migration and invasion. Higher SNORA42 expression level was found to be correlated with shorter survival in metastatic PCa tissues by Kaplan-Meier survival analysis, but this effect was not found in primary PCa tissues. In conclusion, over-expression of SNORA42 could have an oncogenic effect on the progression of PCa. SNORA42 might serve as a prognostic biomarker in PCa.

Co-expression analysis revealed PTCH1-3'UTR promoted cell migration and invasion by activating miR-101-3p/SLC39A6 axis in non-small cell lung cancer: implicating the novel function of PTCH1.

Metastasis is the most common cause of mortality for non-small cell lung cancer (NSCLC). PTCH1, a receptor of Hedgehog (Hh) pathway, is reported to suppress cell proliferation. Interestingly, our previous study showed PTCH1 silencing promoted cell proliferation but inhibited cell migration and invasion of NSCLC cells. However, the precise mechanisms of PTCH1 regulating NSCLC metastasis remain unclear. PTCH1 has multiple splicing variants, which all share the same 3'UTR sequence, meanwhile, emerging studies have shown competing endogenous RNAs (ceRNAs) play important roles in regulating cancer progression. Therefore, we hypothesized the functions of PTCH1-3'UTR in NSCLC in present study to reveal its role as a ceRNA. Here, we find overexpression of PTCH1-3'UTR promotes cell migration, invasion and adhesion, but does not affect cell proliferation in NSCLC cells. By combining weighted correlation network analysis (WGCNA) analysis and experimental validation, we reported PTCH1-3'UTR acted as a sponge to absorb miR-101-3p and promoted SLC39A6 expression. Moreover, we observed low expression of miR-101-3p and PTCH1 and high SLC39A6 levels were positively correlated with NSCLC progression. Therefore, our results help to understand the function of PTCH1 in NSCLC tumorigenesis and provide novel insights for the prevention of NSCLC metastasis.