Biology subjects

Zeng, M.

Publications and source records attributed to Zeng, M..

24 records · Page 2Linked to original sources

bioRxiv2022

A CREBZF/Zhangfei isoform activates CHOP during prolonged cellular stress

The basic leucine zipper transcription factor CREBZF (Zhangfei or ZF) was identified through its interaction with Herpes Simplex Virus-1 related cellular protein HCF-1. CREBZF has been implicated in cellular stress responses through its interaction with other proteins, such as CREB3/Luman and ATF4. Here we investigated the production of four CREBZF isoforms, which arise from translational initiation of a downstream AUG at codon 83, and mRNA alternative splicing that adds an IFFFR pentapeptidyl tail to the C-terminus. We found that in addition to transcriptional activation, the short-tailed CREBZF (stZF) isoform was specifically induced by prolonged ER stress treatment. This stZF isoform is a potent transcriptional activator of the pro-apoptotic protein CHOP. Overexpression of stZF activates transcription of CHOP through a CCAAT enhancer binding protein (C/EBP)-ATF site, and promotes apoptosis. We propose that 1) CREBZF is a key component of the Integrated Stress Response (ISR); 2) stZF is essential for the role of CREBZF in inducing CHOP and promoting cell death upon prolonged cellular stress.

molecular biology↗

bioRxiv2022

Mechanistic basis for targeting homologous recombination defective liver cancer via synthetic lethality

Many cancers harbour homologous recombination defects (HRD). The identification of PARP inhibitors as synthetic lethal with HRD has led to new therapeutic strategies for HRD cancers. Here we report a subtype of HRD that is caused by the perturbation of a previously uncharacterised proteasome variant, CDW19S, in hepatitis virus B (HBV) positive hepatocellular carcinoma (HBVHCC). CDW19S contains the 19S complex decorated with a Cullin 4 ubiquitin ligase (CRL4WDR70) that is assembled at broken chromatin and regulates end processing nucleases. The HBV oncoprotein, HBx, prevents integration of the CRL4 backbone into CDW19S. We show that CDW19S directly ubiquitinates ADRM1Rpn13, targeting it for degradation, and that HBx interferes with this, leading to the imposition of a novel ADRM1Rpn13-dependent resection barrier that results in HRD and promotes carcinogenesis with concurrent TP53 loss. Using cellular and patient-derived xenograft models we demonstrate that HRD in HBVHCC can be exploited to restrict tumour progression. Our work clarifies the mechanism of a virally-induced HRD and suggests a new route for targeted HBVHCC therapy.

cancer biology↗

bioRxiv2022

Identifying disease-associated circRNAs based on edge-weighted graph attention and heterogeneous graph neural network

MotivationCircular RNAs (circRNAs) with varied biological activities are implicated in pathogenic processes, according to new findings. They are regarded as promising biomarkers for the diagnosis and prognosis due to their structural features. Computational approaches, as opposed to traditional experiments, can identify the circRNA-disease connections at a lower cost. Multi-source pathogenesis data can help to reduce data sparsity and infer probable connections at the system level. The majority of available approaches create a homologous network using multi-source data, but they lose the datas heterogeneity. Effective solutions that make use of the peculiarities of multi-source data are urgently needed. ResultsIn this paper, we propose a model (CDHGNN) based on edge-weighted graph attention and heterogeneous graph neural networks for discovering probable circRNA-disease correlations prediction. The circRNA network, miRNA network, disease network and heterogeneous network are constructed based on the introduced multi-source data on circRNAs, miRNAs, and diseases. The features for each type of node in the network are then extracted using a designed edge-weighted graph attention network model. Using the revised node features, we learn meta-path contextual information and use heterogeneous neural networks to assign attention weights to different types of edges. CDHGNN outperforms state-of-the-art algorithms with comparable accuracy, according to the findings of the trial. Edge-weighted graph attention networks and heterogeneous graph networks have both improved performance significantly. Furthermore, case studies suggest that CDHGNN is capable of identifying particular molecular connections and can be used to investigate pathogenic pathways. Contactjxwang@mail.csu.edu.cn

bioinformatics↗

bioRxiv2021

DeepLncLoc: a deep learning framework for long non-coding RNA subcellular localization prediction based on subsequence embedding

MotivationLong non-coding RNAs (IncRNAs) are a class of RNA molecules with more than 200 nucleotides. A growing amount of evidence reveals that subcellular localization of lncRNAs can provide valuable insights into their biological functions. Existing computational methods for predicting lncRNA subcellular localization use k-mer features to encode lncRNA sequences. However, the sequence order information is lost by using only k-mer features. ResultsWe proposed a deep learning framework, DeepLncLoc, to predict lncRNA subcellular localization. In DeepLncLoc, we introduced a new subsequence embedding method that keeps the order information of lncRNA sequences. The subsequence embedding method first divides a sequence into some consecutive subsequences, and then extracts the patterns of each subsequence, last combines these patterns to obtain a complete representation of the lncRNA sequence. After that, a text convolutional neural network is employed to learn high-level features and perform the prediction task. Compared to traditional machine learning models with k-mer features and existing predictors, DeepLncLoc achieved better performance, which shows that DeepLncLoc could effectively predict lncRNA subcellular localization. Our study not only presented a novel computational model for predicting lncRNA subcellular localization but also provided a new subsequence embedding method which is expected to be applied in other sequence-based prediction tasks. AvailabilityThe DeepLncLoc web server, source code and datasets are freely available at http://bioinformatics.csu.edu.cn/DeepLncLoc/, and https://github.com/CSUBioGroup/DeepLncLoc. Contactlimin@mail.csu.edu.cn

bioinformatics↗

bioRxiv2020

Wide-spectrum cancer killing by ENDOD1 ablation

The atypical nuclease ENDOD1 functions with cGAS-STING in innate immunity. Here we identify a previously uncharacterized ENDOD1 function in DNA repair. ENDOD1 is enriched in the nucleus following H2O2 treatment and ENDOD1-/- cells show increased PARP chromatin-association. Loss of ENDOD1 function is synthetic lethal with homologous recombination defects, with affected cells accumulating DNA double strand breaks. Remarkably, we also uncover an additional synthetic lethality between ENDOD1 and p53. ENDOD1 depletion in TP53 mutated tumour cells, or p53 depletion in ENDOD1-/- cells, results in rapid single stranded DNA accumulation and cell death. Because TP53 is mutated in [~]50% of tumours, ENDOD1 has potential as a wide-spectrum target for synthetic lethal treatments. To support this we demonstrate that systemic knockdown of mouse EndoD1 is well tolerated and whole-animal siRNA against human ENDOD1 restrains TP53 mutated tumour progression in xenograft models. These data identify ENDOD1 as a potential cancer-specific target for SL drug discovery.

cancer biology↗

bioRxiv2017

Embryonic lethality in mice lacking Trim59 due to impaired gastrulation development

TRIM family members have been implicated in a variety of biological processes such as differentiation and development. We here found that Trim59 plays a critical role in early embryo development from blastocyst stage to gastrula. There existed delayed development and empty yolk sacs from embryonic day (E) 8.5 in Trim59 -/- embryos. No viable Trim59 -/- embryos were observed beyond E9.5. Trim59 deficiency affected primary germ layer formation at the beginning of gastrulation. In Trim59 -/- embryos at E6.5 and E7.5, the expression of primary germ layer formation associated genes including Brachyury, lefty2, Cer1, Otx2, Wnt3 and BMP4 was reduced. Homozygous mutant embryonic epiblast was contracted and the mesoderm was absent. Trim59 could interact with actin and myosin associated proteins. Trim59 deficiency disturbed F-actin polymerization during inner cell mass differentiation. Trim59 mediated polymerization of F-actin was via WASH K63-linked ubiquitination. Thus, Trim59 may be a critical regulator for early embryo development from blastocyst stage to gastrula through modulating F-actin assembly.

developmental biology↗