As an important effector in response to various intracellular or extracellular stimuli, the NF-κB family extensively participates in a wide spectrum of biological events, and its dysregulation may result in many pathological conditions, such as microbial infection, tumor progression, and neurodegenerative disorders. Previous investigations showed that multiple types of ubiquitination play critical roles in the modulation of the NF-κB signaling pathway, yet the molecular mechanisms are still poorly understood. In the current study, we identified TRIM25, an E3 ubiquitin ligase, as a novel positive regulator in mediating NF-κB activation in human embryonic kidney 293T (HEK293T), HeLa cells, THP-1 cells, and PBMCs. The expression of TRIM25 promoted TNF-α–induced NF-κB signaling, whereas the knockdown had the opposite effect. Furthermore, TRIM25 interacted with TRAF2 and enhanced the K63-linked polyubiquitin chains attached to TRAF2. Moreover, TRIM25 bridged the interaction of TRAF2 and TAK1 or IKKβ. To our knowledge, our study has identified a previously unrecognized role for TRIM25 in the regulation of NF-κB activation by enhancing the K63-linked ubiquitination of TRAF2.

Exhaustion of chimeric antigen receptor (CAR) T cells is one of the limitations for CAR T efficacy in solid tumors and for tumor recurrence after initial CAR T treatment. Tumor treatment with a combination of programmed cell death receptor-1 (PD-1)/programmed cell death ligand-1 (PD-L1) blockage and CD28-based CAR T cells has been intensively studied. However, it remains largely unclear whether autocrine single-chain variable fragments (scFv) PD-L1 antibody can improve 4-1BB-based CAR T cell anti-tumor activity and revert CAR T cell exhaustion. Here, we studied T cells engineered with autocrine PD-L1 scFv and 4-1BB-containing CAR. The antitumor activity and exhaustion of CAR T cells were investigated in vitro and in a xenograft cancer model using NCG mice. CAR T cells with autocrine PD-L1 scFv antibody demonstrate enhanced anti-tumor activity in solid tumors and hematologic malignancies by blocking the PD-1/PD-L1 signaling. Importantly, we found that CAR T exhaustion was largely diminished by autocrine PD-L1 scFv antibody in vivo. As such, 4-1BB CAR T with autocrine PD-L1 scFv antibody combined the power of CAR T cells and the immune checkpoint inhibitor, thereby increasing the anti-tumor immune function and CAR T persistence, providing a cell therapy solution for a better clinical outcome.

RIG-I is an essential receptor in the initiation of the type I interferon (IFN) signaling pathway upon viral infection. Although K63-linked ubiquitination plays an important role in RIG-I activation, the optimal modulation of conjugated and unanchored ubiquitination of RIG-I as well as its functional implications remains unclear. In this study, we determined that, in contrast to the RIG-I CARD domain, full-length RIG-I must undergo K63-linked ubiquitination at multiple sites to reach full activity. A systems biology approach was designed based on experiments using full-length RIG-I. Model selection for 7 candidate mechanisms of RIG-I ubiquitination inferred a hierarchical architecture of the RIG-I ubiquitination mode, which was then experimentally validated. Compared with other mechanisms, the selected hierarchical mechanism exhibited superior sensitivity and robustness in RIG-I-induced type I IFN activation. Furthermore, our model analysis and experimental data revealed that TRIM4 and TRIM25 exhibited dose-dependent synergism. These results demonstrated that the hierarchical mechanism of multi-site/type ubiquitination of RIG-I provides an efficient, robust and optimal synergistic regulatory module in antiviral immune responses.

B-cell epitopes (BCEs) are a set of specific sites on the surface of an antigen that binds to an antibody produced by B-cell. The recognition of BCEs is a major challenge for drug design and vaccines development. Compared with experimental methods, computational approaches have strong potential for BCEs prediction at much lower cost. Moreover, most of the currently methods focus on using local information around target residue without taking the global information of the whole antigen sequence into consideration. We propose a novel deep leaning method through combing local features and global features for BCEs prediction. In our model, two parallel modules are built to extract local and global features from the antigen separately. For local features, we use Graph Convolutional Networks (GCNs) to capture information of spatial neighbors of a target residue. For global features, Attention-Based Bidirectional Long Short-Term Memory (Att-BLSTM) networks are applied to extract information from the whole antigen sequence. Then the local and global features are combined to predict BCEs. The experiments show that the proposed method achieves superior performance over the state-of-the-art BCEs prediction methods on benchmark datasets. Also, we compare the performance differences between data with or without global features. The experimental results show that global features play an important role in BCEs prediction. Our detailed case study on the BCEs prediction for SARS-Cov-2 receptor binding domain confirms that our method is effective for predicting and clustering true BCEs.

Advances in stem cell biology have posed the challenges in revealing the mechanistic themes underlying whole tissues and organs formation during regeneration. The planarian Dugesia japonica is an ideal model organism for the study of regeneration and stem cell biology. However, the genome resources for this species are still limited. Here, we combined single-molecule real-time DNA sequencing platform Pacific Biosciences (PacBio) sequencing, Illumina paired-end sequencing and 10× Genomics linked reads data to obtain the whole-genome sequence of the planarian D. japonica. The final assembled D. japonica genome is 1.13G with contig N50 of 248.44 kb, and scaffold N50 of 652.52 kb. Repeat elements account for 64.92% of the genome, and 12,031 protein coding genes were annotated, of which 10,114 genes had at least one functional annotation, representing 84.07% of the total genes. We present a highly contiguous genome assembly of D. japonica. The D. japonica genome assembly, together with gene annotation and transcriptome data provide a valuable resource to investigate molecular mechanism of planarian and stem cell research.

Transcriptional factor nuclear factor κB (NF-κB) can be activated by various intracellular or extracellular stimuli and its dysregulation leads to pathological conditions, such as neurodegenerative disorders, infection, and cancer. The carboxyl terminus of HSC70-interacting protein (CHIP), a pathogenic gene of spinocerebellar autosomal recessive 16 (SCAR16), plays an important roles in protein degradation, trafficking, and multiple signaling transductions. It has been reported that CHIP participates in the regulation of NF-κB signaling, and the mutant of CHIP (p.T246M) leads to the occurrence of SCAR16. However, the detailed mechanism of CHIP and CHIP (p.T246M) in the regulation of NF-κB signaling in neurological disorders remains unclear. Here, we found that CHIP promoted the activation of NF-κB signaling, while the knockdown had the opposite effect. Furthermore, CHIP interacted with TAK1 and targeted it for K63-linked ubiquitination. Finally, CHIP enhanced the interaction between TAK1 and NEMO. However, CHIP (p.T246M) couldn’t upregulate NF-κB signaling, potentiate the ubiquitination of TAK1, and enhance the interactions. Taken together, our study demonstrated for the first time that CHIP positively regulates NF-κB signaling by targeting TAK1 and enhancing its K63-linked ubiquitination.