Biology subjects

Zhai, M.

Publications and source records attributed to Zhai, M..

7 recordsLinked to original sources

bioRxiv2026

Elevated endocytic trafficking mediated by GPRASP2 maintains HSC fidelity.

Endolysosomal trafficking supports cellular homeostasis through coordinated regulation of extrinsic signaling inputs. Hematopoietic stem cell (HSC) function requires a tightly regulated balance between quiescence for long-term preservation and rapid activation for blood production. Although lysosomal regulation of metabolism and quiescence has been linked to stem cell maintenance, the contribution of endocytic routing to lysosomal function remains incompletely understood. Here, we show that quiescent HSCs rely on elevated endocytosis to maintain self-renewal. This activity is mediated in part by GPRASP2, a post-endosomal sorting protein. HSCs enriched in GPRASP2 are functionally dormant yet molecularly primed for activation however, in response to proliferative cues, dormant HSCs exhibit reduced signaling and proliferation. Disruption of GPRASP2-mediated endocytosis induces rapid proliferation and increased expression of signaling constituents, consistent with a model in which elevated endocytosis attenuates signaling through receptor internalization. Thus, we identify endocytosis as a mechanism by which HSCs limit functional exhaustion arising from chronic activation.

cell biology↗

bioRxiv2023

Spatiotemporal transcriptome atlas of human embryos after gastrulation

The spatial and temporal atlas of gene expression in the human embryo at early gestation is critical in understanding embryo development, organogenesis, and disease origins. We obtained the spatiotemporal transcriptome from 90 sagittal sections of 16 whole human embryos from 3 to 8 post-conception weeks by Stereo-seq with high resolution and ultra-large field, establishing the development trajectory/regulatory profiling of 49 organs. We uncovered the organ-specific regulons as potential lineage-determining factors and identified the new regulatory networks during heart and brain development. The atlas refines the key organs/cell types vulnerable to virus infection and genetic disorders, and, reveals the dynamics of allelic gene expression in specific organs at different stages. These results present the first comprehensive delineation of the spatiotemporal transcriptomic dynamics of human organogenesis. One Sentence SummaryThe spatiotemporal transcriptome atlas presents a comprehensive delineation of human embryogenesis after gastrulation.

developmental biology↗

bioRxiv2022

Clean-PIE: a novel strategy for efficiently constructing precise circRNA with thoroughly minimized immunogenicity to direct potent and durable protein expression

Translatable circular RNAs (circRNAs) are emerging as a crucial molecular format for transient protein expression, with high potential to be an alternative for linear mRNA to reshape the landscape of mRNA pharmaceutical industry. Canonical Anabaena permuted intron-exon (Ana PIE) format that developed by ORNA is an efficient method for RNA circularization, and the engineered circRNAs direct supreme protein expression in eukaryotic cells. However, recent studies revealed that this method may unavoidably result in a remain of immunogenicity in the circRNA products, albeit after thorough RNA purification. In the current study, we develop a novel strategy for efficient generation of circRNA, via the permuted T4Td introns mediated autocatalytically ribozymatic reaction mediated ligation of the flanking segment sequences that concealing in ORF or translation initiation sequence (normally equal to IRES). This strategy universally realizes around 90% circularization effectivity, and the circRNA products can be purified to around 90% purity by our new purification method, and presented thoroughly minimized immunogenicity, thus is termed "Clean-PIE". The purified circRNAs are found to direct potent and durable expression of various proteins in vitro and in vivo. The partly purified Fluc circRNA by HPLC-SEC was found to direct Fluc expression in muscle for no less than 20 days. The highly purified circRNA exhibits much stronger protein expression in vitro and in vivo, and presumed a longer duration. Additionally, the scale-up of RNA circularization with the RNA precursors from 1 L transcription revealed high circularization effectivity (around 90%) and a high productivity of the final circRNA products. Collectively, Clean-PIE is a novel circRNA platform that possesses high circularization effectivity, enabled high RNA purity and thoroughly minimized immunogenicity, as well as scaling-up accessibility and directing extreme durability of protein expression, thus has the potential to develop advanced RNA vaccines and therapeutics in pharmaceutical industrial scale.

molecular biology↗

bioRxiv2022

Endothelial TET2 Regulates Cardiac Remodeling by Modifying Endothelial-to-Mesenchymal Transition

DNA methylation modification has been proved to play an important role in heart diseases. In this study, the role of Ten-Eleven Translocation-2 (TET2), which is a key demethylation enzyme, is investigated in cardiac remodeling. TET2 is abundant in endothelial cells but decreased in hypertrophic hearts. TET2 knockdown in endothelial cells triggers endothelial-to-mesenchymal transition (EndMT), while overexpression of TET2 inhibits the EndMT. In vivo, Cdh5-CreERT2/TET2flox/flox; Rosa26-mTmG+/- mice are developed and undergo transverse aortic constriction (TAC) subsequently to induce pathological cardiac hypertrophy model. Hearts of Cdh5-CreERT2/TET2flox/flox mice show more severe hypertrophy and fibrosis than controls in the TAC model. Furthermore, EGLN3 is identified to participate in EndMT as the downstream target of TET2 by using RNA sequencing and whole-genome bisulfite sequencing (WGBS). Finally, vitamin C, which can mimic TET2 restoration, is found to partially improve cardiac function and inhibit myocardial fibrosis. These insights into how TET2 alleviates cardiac fibrosis may open new avenues for treating cardiac remodeling in the future.

genetics↗

bioRxiv2021

Intratumoral Delivered Novel Circular mRNA Encoding Cytokines for Immune Modulation and Cancer Therapy

The application of mRNA as a novel kind of vaccine has been proved recently, due to the emergence use authorization (EUA) by FDA for the two COVID-19 mRNA vaccines developed by Moderna and BioNTech. Both of the two vaccines are based on canonical linear mRNA, and encapsulated by lipid nanoparticle (LNP). Circular mRNA, which is found to mediate potent and durable protein expression, is an emerging technology recently. Owing to its simplicity of manufacturing and superior performance of protein expression, circular mRNA is believed to be a disruptor for mRNA area. However, the application of circular mRNA is still at an initiation stage, proof of concept for its usage as future medicine or vaccine is necessary. In the current study, we established a novel kind of circular mRNA, termed C-RNA, based on Echovirus 29 (E29)-derived internal ribosome entry sites (IRES) and newly designed homology arms and RNA spacers. Our results demonstrated that this kind of circular mRNA is able to mediate strong and durable protein expression, compared to typical linear mRNA. Moreover, for the first time, our study demonstrated that direct intratumoral administration of C-RNA encoding a mixture of cytokines achieved successful modulation of intratumoral and systematic anti-tumor immune responses and finally leading to an enhancement of anti-PD-1 antibody-induced tumor repression in syngeneic mouse model. Additionally, after an optimization of the circular mRNA formulation, a significant improvement of C-RNA mediated protein expression was observed. With this optimized formulation, C-RNA induced enhanced anti-tumor effect via intratumoral administration and elicited significant activation of tumor-infiltrated total T cells and CD8+ T cells. Collectively, we established C-RNA, a novel circular mRNA platform, and demonstrated that it can be applied for direct intratumoral administration for cancer therapy.

cancer biology↗

bioRxiv2021

DeepHBV: A deep learning model to predict hepatitis B virus (HBV) integration sites.

Hepatitis B virus (HBV) is one of the main causes for viral hepatitis and liver cancer. Previous studies showed HBV can integrate into host genome and further promote malignant transformation. In this study, we developed an attention-based deep learning model DeepHBV to predict HBV integration sites by learning local genomic features automatically. We trained and tested DeepHBV using the HBV integration sites data from dsVIS database. Initially, DeepHBV showed AUROC of 0.6363 and AUPR of 0.5471 on the dataset. Adding repeat peaks and TCGA Pan Cancer peaks can significantly improve the model performance, with an AUROC of 0.8378 and 0.9430 and an AUPR of 0.7535 and 0.9310, respectively. On independent validation dataset of HBV integration sites from VISDB, DeepHBV with HBV integration sequences plus TCGA Pan Cancer (AUROC of 0.7603 and AUPR of 0.6189) performed better than HBV integration sequences plus repeat peaks (AUROC of 0.6657 and AUPR of 0.5737). Next, we found the transcriptional factor binding sites (TFBS) were significantly enriched near genomic positions that were paid attention to by convolution neural network. The binding sites of AR-halfsite, Arnt, Atf1, bHLHE40, bHLHE41, BMAL1, CLOCK, c-Myc, COUP-TFII, E2A, EBF1, Erra and Foxo3 were highlighted by DeepHBV attention mechanism in both dsVIS dataset and VISDB dataset, revealing the HBV integration preference. In summary, DeepHBV is a robust and explainable deep learning model not only for the prediction of HBV integration sites but also for further mechanism study of HBV induced cancer. Author summaryHepatitis B virus (HBV) is one of the main causes for viral hepatitis and liver cancer. Previous studies showed HBV can integrate into host genome and further promote malignant transformation. In this study, we developed an attention-based deep learning model DeepHBV to predict HBV integration sites by learning local genomic features automatically. The performance of DeepHBV model significantly improves after adding genomic features, with an AUROC of 0.9430 and an AUPR of 0.9310. Furthermore, we enriched the transcriptional factor binding sites of proteins by convolution neural network. In summary, DeepHBV is a robust and explainable deep learning model not only for the prediction of HBV integration sites but also for the further study of HBV integration mechanism.

bioinformatics↗

bioRxiv2020

Pulsed Electromagnetic Fields Alleviates Hepatic Oxidative Stress and Lipids Accumulation in db/db mice

PurposeNonalcoholic fatty liver disease (NAFLD), affected more than 70 % of patients with type 2 diabetes (T2DM), has become a common metabolic liver disease worldwide. However, the specifically treatments targeting NAFLD have not been found until now. Pulsed electromagnetic fields have positive effects on multiple diseases. However, the effects of PEMF on NAFLD in T2DM require further investigation. The present study assessed the effects of pulsed electromagnetic fields on the liver oxidative stress and lipid accumulation of db/db mice. Patients and methodsAnimals were exposed to 2 h of pulsed electromagnetic fields (15.38 Hz, 2 mT) or sham stimulated, and thereafter sacrificed at 8 weeks later. The biomarkers of oxidative stress, such as MDA, GSSG and GSH levels, were analysed with commercial kits. The activity of liver antioxidant enzymes as CAT, SOD and GSH-Px was detected. Hepatic expressions of CAT, GR, GSH-Px, SOD1, SOD2 and SREBP-1c at protein levels were determined with Western blotting. Hepatic weight was measured and triglyceride accumulation were visualized by Oil Red O staining. ResultsPEMF exposure could protect the liver from oxidative stress injury by decreasing MDA and GSSG level, promoting reduced GSH level, and increasing GSH-Px activity and expression in comparison with sham group. But CAT and SOD activity have no statistic difference as same as CAT, GR, SOD1 and SOD2 expression. Furthermore, PEMF exposure reduced liver weight and triglyceride content. Meanwhile, PEMF exposure ameliorated hepatic steatosis through reducing the expression of SREBP-1c to regulate the lipid synthesis. ConclusionThe present study provides evidence that PEMF could increase antioxidant enzymes activity and alleviate lipid accumulation in fatty liver. This implies that PEMF exposure has beneficial effects for the treatment of NAFLD in accompany with T2DM.

bioengineering↗