Identification and characterization of a novel nuclear structure containing members of the homologous recombination and DNA damage response pathways

Integrating Statistical and Machine-Learning Approach for Meta-Analysis of Bisphenol A-Exposure Datasets Reveals Effects on Mouse Gene Expression within Pathways of Apoptosis and Cell Survival

Bisphenols are important environmental pollutants that are extensively studied due to different detrimental effects, while the molecular mechanisms behind these effects are less well understood. Like other environmental pollutants, bisphenols are being tested in various experimental models, creating large expression datasets found in open access storage. The meta-analysis of such datasets is, however, very complicated for various reasons. Here, we developed an integrating statistical and machine-learning model approach for the meta-analysis of bisphenol A (BPA) exposure datasets from different mouse tissues. We constructed three joint datasets following three different strategies for dataset integration: in particular, using all common genes from the datasets, uncorrelated, and not co-expressed genes, respectively. By applying machine learning methods to these datasets, we identified genes whose expression was significantly affected in all of the BPA microanalysis data tested; those involved in the regulation of cell survival include: Tnfr2, Hgf-Met, Agtr1a, Bdkrb2; signaling through Mapk8 (Jnk1)); DNA repair (Hgf-Met, Mgmt); apoptosis (Tmbim6, Bcl2, Apaf1); and cellular junctions (F11r, Cldnd1, Ctnd1 and Yes1). Our results highlight the benefit of combining existing datasets for the integrated analysis of a specific topic when individual datasets are limited in size.

AEG-1 Knockdown Sensitizes Glioma Cells to Radiation Through Impairing Homologous Recombination Via Targeting RFC5

Radiotherapy is the most important adjuvant treatment for glioma; however, radioresistance is the major cause for inevitable recurrence and poor survival of glioma patients. Thus, this study aims to investigate the effect of astrocyte elevated gene-1 (AEG-1) on the radiosensitivity of glioma cells. Immunohistochemistry assay found that AEG-1 was generally overexpressed in glioma tissues and was correlated with poor clinicopathological features of glioma patients. AEG-1 knockdown inhibited proliferation of glioma cells. And γ-H2AX foci assay, colony formation assay, and flow cytometry analysis demonstrated that AEG-1 depletion enhanced radiosensitivity and promoted apoptosis as well as cell cycle arrest in G2 phase of glioma cells treated by ionizing radiation. Moreover, replication factor C5 (RFC5) was screened as the target of AEG-1 by using Affymetrix human gene expression array, and RFC5 expression was downregulated in AEG-1 knockdown glioma cells. Mechanistically, AEG-1 knockdown impaired homologous recombination repair activity induced by radiation through inhibiting RFC5 expression. Furthermore, the Kaplan-Meier analysis and multivariate Cox regression analysis indicated that high levels of AEG-1 and RFC5 were related to poor prognosis of glioma patients treated with radiotherapy. Taken together, our findings indicate that AEG-1 may serve as a reliable radiosensitizing target for glioma radiotherapy.

Whole genome sequencing of a snailfish from the Yap Trench (~7,000 m) clarifies the molecular mechanisms underlying adaptation to the deep sea

Hadal environments (depths below 6,000 m) are characterized by extremely high hydrostatic pressures, low temperatures, a scarce food supply, and little light. The evolutionary adaptations that allow vertebrates to survive in this extreme environment are poorly understood. Here, we constructed a high-quality reference genome for Yap hadal snailfish (YHS), which was captured at a depth of ~7,000 m in the Yap Trench. The final YHS genome assembly was 731.75 Mb, with a contig N50 of 0.75 Mb and a scaffold N50 of 1.26 Mb. We predicted 24,329 protein-coding genes in the YHS genome, and 24,265 of these genes were successfully functionally annotated. Phylogenetic analyses suggested that YHS diverged from a Mariana Trench snailfish approximately 0.92 million years ago. Many genes associated with DNA repair show evidence of positive selection and have expanded copy numbers in the YHS genome, possibly helping to maintain the integrity of DNA under increased hydrostatic pressure. The levels of trimethylamine N-oxide (TMAO), a potent protein stabilizer, are much higher in the muscles of YHS than in those of shallow-water fish. This difference is perhaps due to the five copies of the TMAO-generating enzyme flavin-containing monooxygenase-3 gene (fmo3) in the YHS genome and the abundance of trimethylamine (TMA)-generating bacteria in the YHS gut. Thus, the high TMAO content might help YHS adapt to high hydrostatic pressure by improving protein stability. Additionally, the evolutionary features of the YHS genes encoding sensory-related proteins are consistent with the scarce food supply and darkness in the hadal environments. These results clarify the molecular mechanisms underlying the adaptation of hadal organisms to the deep-sea environment and provide valuable genomic resources for in-depth investigations of hadal biology.

Hadal environments (depths below 6,000 m) are characterized by extremely high hydrostatic pressures, low temperatures, a scarce food supply, and little light. Fish are the only vertebrates inhabiting the hadal zone, and hadal snailfishes have been found in at least five geographically separated marine trenches. However, the genetic mechanisms that allow vertebrates to live in such extreme conditions are not well understood. Here, we constructed a high-quality reference genome for Yap hadal snailfish (YHS) captured at a depth of ~7,000 m in the Yap Trench, using long reads obtained by Pacific Biosciences Sequel sequencing. Comparative genomic analyses revealed that many genes associated with DNA repair show evidence of positive selection and have expanded copy numbers in the YHS genome, which potentially reflect the difficulty of maintaining DNA integrity under high hydrostatic pressure. Moreover, the five copies of the trimethylamine N-oxide (TMAO)-generating enzyme flavin-containing monooxygenase-3 gene (fmo3) and the abundance of trimethylamine (TMA)-generating bacteria in the YHS gut could provide enough TMAO to improve protein stability under hadal conditions. In addition, characteristics of the YHS sensory system genes were consistent with the scarce food supply and darkness in the hadal zone. Our results provide new insights into the molecular mechanisms underlying the adaptation of hadal organisms to the deep-sea environment and valuable genomic resources that will help further clarify hadal adaptations.

Genome-Scale CRISPR-Cas9 Transcriptional Activation Screening in Metformin Resistance Related Gene of Prostate Cancer

Metformin is a classic type II diabetes drug which possesses anti-tumor properties for various cancers. However, different cancers do not respond to metformin with the same effectiveness or acquire resistance. Thus, searching for vulnerabilities of metformin-resistant prostate cancer is a promising strategy to improve the therapeutic efficiency of the drug. A genome-scale CRISPR-Cas9 activation library search targeting 23,430 genes was conducted to identify the genes that confer resistance to metformin in prostate cancer cells. Candidate genes were selected by total reads of sgRNA and sgRNA diversity, and then a CCK8 assay was used to verify their resistance to metformin. Interestingly, we discovered that the activation of ECE1, ABCA12, BPY2, EEF1A1, RAD9A, and NIPSNAP1 contributed to in vitro resistance to metformin in DU145 and PC3 cell lines. Notably, a high level of RAD9A, with poor prognosis in PCa, was the most significant gene in the CCK8 assay. Furthermore, we discerned the tumor immune microenvironment with RAD9A expression by CIBERSORT. These results suggested that a high level of RAD9A may upregulate regulatory T cells to counterbalance metformin in the tumor immune microenvironment.