XBP1 negatively regulates CENPF expression via recruiting ATF6α to the promoter during ER stress

Vernonia amygdalina Leaf Extract Induces Apoptosis in HeLa Cells: A Metabolomics and Proteomics Study

Medicinal plants produce various bioactive molecules with potential anti-cancer properties with favorable safety profiles. We aimed to investigate the comprehensive composition of Vernonia amygdalina leaf extract and its cytotoxic effects via apoptosis in HeLa cells. The metabolomics approach using LC-MS/MS was conducted to gather the metabolite profile of the extract. Proteomics was performed to understand the comprehensive mechanistic pathways of action. The apoptosis was visualized by cellular staining and the apoptotic proteins were evaluated. V. amygdalina leaf extract exhibited dose-dependent cytotoxic effects on both HeLa and Vero cells after 24 h of exposure in the MTT assay with the IC50 values of 0.767 ± 0.0334 and 4.043 ± 0.469 µg mL-1, respectively, which demonstrated a higher concentration required for Vero cell cytotoxicity. The metabolomic profile of 112 known metabolites specified that the majority of them were alkaloids, phenolic compounds, and steroids. Among these metabolites, deacetylvindoline and licochalcone B were suggested to implicate cytotoxicity. The cytotoxic pathways involved the response to stress and cell death which was similar to doxorubicin. The upstream regulatory proteins, phosphatase and tensin homolog deleted on chromosome ten (PTEN) and X-box binding protein 1 (XBP1), were significantly altered, supporting the regulation of apoptosis and cell death. The levels of apoptotic proteins, c-Jun N-terminal kinases (JNK), p53, and caspase-9 were significantly increased. The novel insights gained from the metabolomic profiling and proteomic pathway analysis of V. amygdalina leaf extract have identified crucial components related to apoptosis induction, highlighting its potential to develop future chemotherapy.

Pivotal role of the endoplasmic reticulum stress-related XBP1s/miR-22/SIRT1 axis in acute myeloid leukemia apoptosis and response to chemotherapy

Malignant growth relies on rapid protein synthesis frequently leading to endoplasmic reticulum (ER) overload and accumulation of unfolded or misfolded protein in this cellular compartment. In the ER, protein homeostasis is finely regulated by a mechanism called the unfolded protein response (UPR), involving the activation of signalization pathways mediated by three transmembrane proteins, namely PERK, IRE1 and ATF6. IRE1 endoribonuclease activation leads in particular to the splicing of the cytosolic mRNA encoding the key UPR-specific transcription factor XBP1s. Our study shows that sustained activation of XBP1s expression in acute myeloid leukemia (AML) cells induces apoptosis in vitro and in vivo, whereas a moderate XBP1s expression sensitizes cells to chemotherapeutic treatments. ChIP-seq experiments identified specific XBP1s target genes including the MIR22HG lncRNA, the precursor transcript of microRNA-22-3p. miR-22-3p upregulation by XBP1s or forced expression of miR-22 significantly decreases cell's viability and sensitizes leukemic cells to chemotherapy. We found that miR-22-3p intracellular effects result at least partially from the targeting of the mRNA encoding the deacetylase sirtuin-1 (SIRT1), a well-established pro-survival factor. Therefore, this novel XBP1s/miR-22/SIRT1 axis identified could play a pivotal role in the proliferation and chemotherapeutic response of leukemic cells.

Identification of brain endothelial cell-specific genes and pathways in ischemic stroke by integrated bioinformatical analysis

BACKGROUND

Ischemic stroke (IS) is a life-threatening condition with limited treatment options; thus, finding the potential key genes for novel therapeutic targets is urgently needed. This study aimed to explore novel candidate genes and pathways of brain microvessel endothelial cells (ECs) in IS by bioinformatics analysis.

MATERIALS AND METHODS

The gene expression profiles of brain tissues or brain ECs in IS mice were downloaded from the online gene expression omnibus (GEO) to obtain the differentially expressed genes (DEGs) by R software. Functional enrichment analyses were used to cluster the functions and signaling pathways of the DEGs, while DEG-associated protein-protein interaction network was performed to identify hub genes. The target microRNAs and competitive endogenous RNA networks of key hub genes were constructed by Cytoscape.

RESULTS

Totally 84 DEGs were obtained from 6 brain tissue samples and 4 brain vascular EC samples both from IS mice in the datasets GSE74052 and GSE137482, with significant enrichment in immune responses, such as immune system processes and T-cell activation. Eight hub genes filtered by Cytoscape were validated by two other GEO datasets, wherein key genes of interest were verified by reverse transcription-polymerase chain reaction using an in vitro ischemic model of EC cultures. Our data indicated that AURKA and CENPF might be potential therapeutic target genes for IS, and Malat1/Snhg12/Xist-miR-297b-3p-CENPF, as well as Mir17 hg-miR-34b-3p-CENPF, might be RNA regulatory pathways to control IS progression.

CONCLUSIONS

Our work identified two brain EC-specific expressed genes in IS, namely, AURKA and CENPF, as potential gene targets for IS treatment. In addition, we presented miR-297b-3p/miR-34b-3p-CENPF as the potential RNA regulatory axes to prevent pathogenesis of IS.

Upregulated mitosis-associated genes CENPE, CENPF, and DLGAP5 predict poor prognosis and chemotherapy resistance of Acute Myeloid Leukemia

BACKGROUND

Mitosis-associated genes are dysregulated in many types of cancers and play important roles in disease progression and chemotherapy resistance. However, their expression and functions in chemotherapy-resistant Acute Myeloid Leukemia (AML) are still largely undetermined.

OBJECTIVE

This study aims to explore the roles of spindle assembly checkpoint (SAC) genes CENPE, CENPF, and DLGAP5 in chemotherapy-resistant AML.

METHODS

RNA-sequencing (RNA-seq) was performed in patients with chemotherapy-resistant AML and chemotherapy-sensitive AML. AML mRNA data from 151 patients with recurrence were downloaded from TCGA. Integrated analysis of the differentially expressed genes (DEGs), GO and KEGG pathways. CENPE, CENPF, or DLGAP5 knockdown cell lines were used to analyse proliferation, apoptosis and cell cycle alterations.

RESULTS

A total of 87 DEGs (48 upregulated and 39 downregulated) were obtained through gene analysis of R/R-AML and a total of 329 DEGs (202 upregulated and 127 downregulated) were obtained in refractory S-AML. Upregulated DEGs were mainly enriched in cell cycle (GO: 0007049, hsa04110) and mitotic cell cycle (GO: 0000278) processes and pathway. Venn diagram analysis identified the most upregulated DEGs (including CENPE, CENPF, and DLGAP5) in chemoresistant AML. The expression of CENPE, CENPF and DLGAP5 in R-AML (TCGA) was significantly higher than that of primary AML (GEO). The proliferation of K562 cells after CENPE and DLGAP5 knockdown was significantly decreased (P= 0.0001 and P= 0.0006). In THP-1 cells, the CCK-8 values after CENPE, CENPF and DLGAP5 knockdown were significantly decreased (P= 0.01, P= 0.0395 and P= 0.0362). Knockdown of CENPE, CENPF and DLGAP5 significantly increased cell apoptosis by regulating Caspase-9, BAX, TP-53 and bcl-2, and induced cell cycle arrested by regulating CDK1, CDK2, CDKN1A, and CyclinD1.

CONCLUSIONS

In conclusion, the mitotic cell cycle-associated genes CENPE, CENPF, and DLGAP5 were upregulated in chemotherapy-resistant AML patients and might be useful for predicting poor prognosis.