Radiation-induced DNA damage and repair effects on 3D genome organization

Integration of DNA damage responses with dynamic spatial genome organization

The maintenance of genome stability and cellular homeostasis depends on the temporal and spatial coordination of successive events constituting the classical DNA damage response (DDR). Recent findings suggest close integration and coordination of DDR signaling with specific cellular processes. The mechanisms underlying such coordination remain unclear. We review emerging crosstalk between DNA repair factors, chromatin remodeling, replication, transcription, spatial genome organization, cytoskeletal forces, and liquid-liquid phase separation (LLPS) in mediating DNA repair. We present an overarching DNA repair framework within which these dynamic processes intersect in nuclear space over time. Collectively, this interplay ensures the efficient assembly of DNA repair proteins onto shifting genome structures to preserve genome stability and cell survival.

DNA Double-Strand Break Repair: All Roads Lead to HeterochROMAtin Marks

In response to DNA double-strand breaks (DSBs), chromatin modifications orchestrate DNA repair pathways thus safeguarding genome integrity. Recent studies have uncovered a key role for heterochromatin marks and associated factors in shaping DSB repair within the nucleus. In this review, we present our current knowledge of the interplay between heterochromatin marks and DSB repair. We discuss the impact of heterochromatin features, either pre-existing in heterochromatin domains or de novo established in euchromatin, on DSB repair pathway choice. We emphasize how heterochromatin decompaction and mobility further support DSB repair, focusing on recent mechanistic insights into these processes. Finally, we speculate about potential molecular players involved in the maintenance or the erasure of heterochromatin marks following DSB repair, and their implications for restoring epigenome function and integrity.

Recombination-mediated genome rearrangements

Homologous recombination (HR) is a universal DNA double-strand break (DSB) repair pathway that uses an intact DNA molecule as a template. Signature HR reactions are homology search and DNA strand invasion catalyzed by the prototypical RecA-ssDNA filament (Rad51 and Dmc1 in eukaryotes), which produces heteroduplex DNA-containing joint molecules (JMs). These reactions uniquely infringe on the DNA strands association established at replication, on the basis of substantial sequence similarity. For that reason, and despite the high fidelity of its templated nature, DSB repair by HR authorizes the alteration of genome structure, guided by repetitive DNA elements. The resulting structural variations (SVs) can involve vast genomic regions, potentially affecting multiple coding sequences and regulatory elements at once, with possible pathological consequences. Here, we discuss recent advances in our understanding of genetic and molecular vulnerabilities of HR leading to SVs, and of the various fidelity-enforcing factors acting across scales on the balancing act of this complex pathway. An emphasis is put on extra-chomosomal DNAs, both product of, and substrate for HR-mediated chromosomal rearrangements.

Quantitative proteomic analysis of the effects of melatonin treatment for mice suffered from small intestinal damage induced by γ-ray radiation

PURPOSE

Intestinal damage induced by radiation exposure is a major clinic concern of radiotherapy for patients with abdominal or pelvic tumor. Melatonin (N-acetyl-5-methoxytryptamine) is likely be an ideal radioprotector to protect individuals from radiation exposure. The study aimed to define the role of melatonin in small intestinal damage caused by abdominal irradiation (ABI).

MATERIALS AND METHODS

30-day survival rate and pathological histology of the intestines from melatonin-treated mice after 13 Gy ABI exposure was first detected. Next, quantitative proteomics analysis of the small intestines tissue was examined and GO term and KEGG pathways analysis were performed.

RESULTS

Melatonin treatment before ABI exposure significantly increased 30-day survival rate to 83% and ameliorated damage to the intestinal epithelial cells. Melatonin significantly altered the proteins profile of the small intestines following irradiation. For the irradiated mice treated with melatonin in comparison with the irradiated mice, the enriched GO terms were mainly involved in defense response to other organism (BP, GO: 0098542), response to other organism (BP, GO: 0051707), anion transmembrane transporter activity (MF, GO: 0008509), and secondary active transmembrane transporter activity (MF, GO: 0015291). In the process of antioxidant activity (MF, GO: 0016209), melatonin treatment prior to radiation exhibited high protein levels of Sod3 and Gpx3. The markedly KEGG pathways for melatonin treatment prior to radiation mainly included protein digestion and absorption (ko 04974) and mineral absorption (ko 04978). p53 signaling pathway and DNA repair pathways were enriched in melatonin treated mice. The amount of radiation-induced DNA damage and the cell apoptosis of the small intestines was decreased in the melatonin-treated mice.

CONCLUSIONS

Melatonin may protect small intestines from radiation damage through increasing DNA repair and decreasing cell apoptosis of the small intestines. Our data provided perspective for the study of melatonin in mitigating ABI-caused intestinal damage.

KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers

Motivation

Synthetic lethality (SL) is a promising gold mine for the discovery of anti-cancer drug targets. Wet-lab screening of SL pairs is afflicted with high cost, batch-effect, and off-target problems. Current computational methods for SL prediction include gene knock-out simulation, knowledge-based data mining and machine learning methods. Most of the existing methods tend to assume that SL pairs are independent of each other, without taking into account the shared biological mechanisms underlying the SL pairs. Although several methods have incorporated genomic and proteomic data to aid SL prediction, these methods involve manual feature engineering that heavily relies on domain knowledge.

Results

Here, we propose a novel graph neural network (GNN)-based model, named KG4SL, by incorporating knowledge graph (KG) message-passing into SL prediction. The KG was constructed using 11 kinds of entities including genes, compounds, diseases, biological processes and 24 kinds of relationships that could be pertinent to SL. The integration of KG can help harness the independence issue and circumvent manual feature engineering by conducting message-passing on the KG. Our model outperformed all the state-of-the-art baselines in area under the curve, area under precision-recall curve and F1. Extensive experiments, including the comparison of our model with an unsupervised TransE model, a vanilla graph convolutional network model, and their combination, demonstrated the significant impact of incorporating KG into GNN for SL prediction.

Availability and implementation

: KG4SL is freely available at https://github.com/JieZheng-ShanghaiTech/KG4SL.

Supplementary information

Supplementary data are available at Bioinformatics online.

Single-Cell Transcriptome Analysis in Melanoma Using Network Embedding

Single-cell sequencing technology provides insights into the pathology of complex diseases like cancer. Here, we proposed a novel computational framework to explore the molecular mechanisms of cancer called melanoma. We first constructed a disease-specific cell–cell interaction network after data preprocessing and dimensionality reduction. Second, the features of cells in the cell–cell interaction network were learned by node2vec which is a graph embedding technology proposed previously. Then, consensus clusters were identified by considering different clustering algorithms. Finally, cell markers and cancer-related genes were further analyzed by integrating gene regulation pairs. We exploited our model on two independent datasets, which showed interesting results that the differences between clusters obtained by consensus clustering based on network embedding (CCNE) were observed obviously through visualization. For the KEGG pathway analysis of clusters, we found that all clusters are extremely related to MicroRNAs in cancer and HTLV-I infection, and the hub genes in cluster specific regulatory networks, i.e., ETS1, TP53, E2F1, and GATA3 are highly associated with melanoma. Furthermore, our method can also be extended to other scRNA-seq data.

A Newly Assigned Role of CTCF in Cellular Response to Broken DNAs

Best known as a transcriptional factor, CCCTC-binding factor (CTCF) is a highly conserved multifunctional DNA-binding protein with 11 zinc fingers. It functions in diverse genomic processes, including transcriptional activation/repression, insulation, genome imprinting and three-dimensional genome organization. A big surprise has recently emerged with the identification of CTCF engaging in the repair of DNA double-strand breaks (DSBs) and in the maintenance of genome fidelity. This discovery now adds a new dimension to the multifaceted attributes of this protein. CTCF facilitates the most accurate DSB repair via homologous recombination (HR) that occurs through an elaborate pathway, which entails a chain of timely assembly/disassembly of various HR-repair complexes and chromatin modifications and coordinates multistep HR processes to faithfully restore the original DNA sequences of broken DNA sites. Understanding the functional crosstalks between CTCF and other HR factors will illuminate the molecular basis of various human diseases that range from developmental disorders to cancer and arise from impaired repair. Such knowledge will also help understand the molecular mechanisms underlying the diverse functions of CTCF in genome biology. In this review, we discuss the recent advances regarding this newly assigned versatile role of CTCF and the mechanism whereby CTCF functions in DSB repair.

Loop extrusion as a mechanism for formation of DNA damage repair foci

The repair of DNA double-strand breaks (DSBs) is essential for safeguarding genome integrity. When a DSB forms, the PI3K-related ATM kinase rapidly triggers the establishment of megabase-sized, chromatin domains decorated with phosphorylated histone H2AX (γH2AX), which act as seeds for the formation of DNA-damage response foci1. It is unclear how these foci are rapidly assembled to establish a 'repair-prone' environment within the nucleus. Topologically associating domains are a key feature of 3D genome organization that compartmentalize transcription and replication, but little is known about their contribution to DNA repair processes2,3. Here we show that topologically associating domains are functional units of the DNA damage response, and are instrumental for the correct establishment of γH2AX-53BP1 chromatin domains in a manner that involves one-sided cohesin-mediated loop extrusion on both sides of the DSB. We propose a model in which H2AX-containing nucleosomes are rapidly phosphorylated as they actively pass by DSB-anchored cohesin. Our work highlights the importance of chromosome conformation in the maintenance of genome integrity and demonstrates the establishment of a chromatin modification by loop extrusion.

Super hotspots and super coldspots in the repair of UV-induced DNA damage in the human genome

The formation of UV-induced DNA damage and its repair are influenced by many factors that modulate lesion formation and the accessibility of repair machinery. However, it remains unknown which genomic sites are prioritized for immediate repair after UV damage induction, and whether these prioritized sites overlap with hotspots of UV damage. We identified the super hotspots subject to the earliest repair for (6-4) pyrimidine-pyrimidone photoproduct by using the eXcision Repair-sequencing (XR-seq) method. We further identified super coldspots for (6-4) pyrimidine-pyrimidone photoproduct repair and super hotspots for cyclobutane pyrimidine dimer repair by analyzing available XR-seq time-course data. By integrating datasets of XR-seq, Damage-seq, adductSeq, and cyclobutane pyrimidine dimer-seq, we show that neither repair super hotspots nor repair super coldspots overlap hotspots of UV damage. Furthermore, we demonstrate that repair super hotspots are significantly enriched in frequently interacting regions and superenhancers. Finally, we report our discovery of an enrichment of cytosine in repair super hotspots and super coldspots. These findings suggest that local DNA features together with large-scale chromatin features contribute to the orders of magnitude variability in the rates of UV damage repair.