Sex specific regulation of TSPY-Like 2 in the DNA damage response of cancer cells

TSPYL1 as a Critical Regulator of TGFβ Signaling through Repression of TGFBR1 and TSPYL2

Nucleosome assembly proteins (NAPs) have been identified as histone chaperons. Testis-Specific Protein, Y-Encoded-Like (TSPYL) is a newly arisen NAP family in mammals. TSPYL2 can be transcriptionally induced by DNA damage and TGFβ causing proliferation arrest. TSPYL1, another TSPYL family member, has been poorly characterized and is the only TSPYL family member known to be causal of a lethal recessive disease in humans. This study shows that TSPYL1 and TSPYL2 play an opposite role in TGFβ signaling. TSPYL1 partners with the transcription factor FOXA1 and histone methyltransferase EZH2, and at the same time represses TGFBR1 and epithelial-mesenchymal transition (EMT). Depletion of TSPYL1 increases TGFBR1 expression, upregulates TGFβ signaling, and elevates the protein stability of TSPYL2. Intriguingly, TSPYL2 forms part of the SMAD2/3/4 signal transduction complex upon stimulation by TGFβ to execute the transcriptional responses. Depletion of TSPYL2 rescues the EMT phenotype of TSPYL1 knockdown in A549 lung carcinoma cells. The data demonstrates the prime role of TSPYL2 in causing the dramatic defects in TSPYL1 deficiency. An intricate counter-balancing role of TSPYL1 and TSPYL2 in regulating TGFβ signaling is also unraveled.

CRISPR/Cas9 mediated Y-chromosome elimination affects human cells transcriptome

BACKGROUND

Sexual dimorphism represents a key concept in the comprehension of molecular processes guiding several sex-specific physiological and pathological mechanisms. It has been reported that genes involved in many disorders show a sex-dependent expression pattern. Moreover, the loss of Y chromosome (LOY), found to be a physiological age-driven phenomenon, has been linked to many neurodegenerative and autoimmune disorders, and to an increased cancer risk. These findings drove us towards the consideration that LOY may cause the de-regulation of disease specific networks, involving genes located in both autosomal and sex chromosomes.

RESULTS

Exploiting the CRISPR/Cas9 and RNA-sequencing technologies, we generated a Y-deficient human cell line that has been investigated for its gene expression profile. Our results showed that LOY can influence the transcriptome displaying relevant enriched biological processes, such as cell migration regulation, angiogenesis and immune response. Interestingly, the ovarian follicle development pathway was found enriched, supporting the female-mimicking profile of male Y-depleted cells.

CONCLUSION

This study, besides proposing a novel approach to investigate sex-biased physiological and pathological conditions, highlights new roles for the Y chromosome in the sexual dimorphism characterizing human health and diseases. Moreover, this analysis paves the way for the research of new therapeutic approaches for sex dimorphic and LOY-related diseases.

A risk signature based on endoplasmic reticulum stress-associated genes predicts prognosis and immunity in pancreatic cancer

Introduction: The involvement of endoplasmic reticulum (ER) stress in cancer biology is increasingly recognized, yet its role in pancreatic cancer (PC) remains unclear. This study aims to elucidate the impact of ER stress on prognosis and biological characteristics in PC patients. Methods: A bioinformatic analysis was conducted using RNA-seq data and clinicopathological information from PC patients in the TCGA and ICGC databases. The ER stress-associated gene sets were extracted from MSigDB. ER stress-associated genes closely linked with overall survival (OS) of PC patients were identified via log-rank test and univariate Cox analysis, and further narrowed by LASSO method. A risk signature associated with ER stress was formulated using multivariate Cox regression and assessed through Kaplan-Meier curves, receiver operating characteristic (ROC) analyses, and Harrell's concordance index. External validation was performed with the ICGC cohort. The single-sample gene-set enrichment analysis (ssGSEA) algorithm appraised the immune cell infiltration landscape. Results: Worse OS in PC patients with high-risk signature score was observed. Multivariate analysis underscored our ER stress-associated signature as a valuable and independent predictor of prognosis. Importantly, these results based on TCGA were further validated in ICGC dataset. In addition, our risk signature was closely associated with homeostasis, protein secretion, and immune regulation in PC patients. In particular, PC microenvironment in the high-risk cluster exhibited a more immunosuppressive status. At last, we established a nomogram model by incorporating the risk signature and clinicopathological parameters, which behaves better in predicting prognosis of PC patients. Discussion: This comprehensive molecular analysis presents a new predictive model for the prognosis of PC patients, highlighting ER stress as a potential therapeutic target. Besides, the findings indicate that ER stress can have effect modulating PC immune responses.