Biology subjects

Luo, J.

Publications and source records attributed to Luo, J..

At least 163 records · Page 9Linked to original sources

bioRxiv2024

CRM1 regulates androgen receptor stability and impacts DNA repair pathways in prostate cancer, independent of the androgen receptor.

Among the known nuclear exportins, CRM1 is the most studied prototype. Dysregulation of CRM1 occurs in many cancers, hence, understanding the role of CRM1 in cancer can help in developing synergistic therapeutics. The study investigates how CRM1 affects prostate cancer growth and survival. It examines the role of CRM1 in regulating androgen receptor (AR) and DNA repair in prostate cancer. Our findings reveal that CRM1 influences AR mRNA and protein stability, leading to a loss of AR protein upon CRM1 inhibition. Furthermore, it highlights the involvement of HSP90 alpha, a known AR chaperone, in the CRM1-dependent regulation of AR protein stability. The combination of CRM1 inhibition with an HSP90 inhibitor demonstrates potent effects on decreasing prostate cancer cell growth and survival. The study further explores the influence of CRM1 on DNA repair proteins and proposes a strategy of combining CRM1 inhibitors with DNA repair pathway inhibitors to decrease prostate cancer growth. Overall, the findings suggest that CRM1 plays a crucial role in prostate cancer growth, and a combination of inhibitors targeting CRM1 and DNA repair pathways could be a promising therapeutic strategy.

cancer biology↗

bioRxiv2024

Puzzle Hi-C: an accurate scaffolding software

High-quality, chromosome-scale genomes are essential for genomic analyses. Analyses, including 3D genomics, epigenetics, and comparative genomics rely on a high-quality genome assembly, which is often accomplished with the assistance of Hi-C data. Current Hi-C-assisted assembling algorithms either generate ordering and orientation errors or fail to assemble high-quality chromosome-level scaffolds. Here, we offer the software Puzzle Hi-C, which uses Hi-C reads to accurately assign contigs or scaffolds to chromosomes. Puzzle Hi-C uses the triangle region instead of the square region to count interactions in a Hi-C heatmap. This strategy dramatically diminishes scaffolding interference caused by long-range interactions. This software also introduces a dynamic, triangle window strategy during assembly. Initially small, the window expands with interactions to produce more effective clustering. Puzzle Hi-C outperforms available scaffolding tools.

bioinformatics↗

bioRxiv2024

LSD1 inhibition suppresses ASCL1 and de-represses YAP1 to drive potent activity against neuroendocrine prostate cancer

Progression to lethal metastatic castration-resistant prostate cancer (mCRPC) is driven in part by epigenetic modulators such as LSD1 (KDM1A), a lysine-specific demethylase. Yet, mCRPC is increasingly recognized as a highly heterogeneous disease whose classification into subtypes is defined by the extent of androgen receptor (AR) and/or neuroendocrine (NE) characteristics. Meanwhile, the role of LSD1 in driving the different subtypes of mCRPC has remained unclear. Here, we assess the necessity of LSD1 in driving progression of mCRPC subtypes including AR+/NE- (ARPC), AR-/NE+ (NEPC), AR+/NE+ (amphicrine; AMPC), and AR-/NE- (double-negative; DNPC) through the use of LSD1 inhibitors in clinical development. LSD1 inhibition (LSD1i) was observed to be highly effective in restricting growth of NEPC, and efficacy was associated with TP53 loss-of-function. Mice bearing NEPC patient-derived xenografts treated with the LSD1 inhibitors, bomedemstat (MK-3543) or iadademstat (ORY-1001), exhibited suppression of the NE transcriptional profile, including ASCL1. LSD1i also induced expression and activity of YAP1, a non-NE transcription factor canonically silenced in NEPC (YAPOFF cancer), thereby switching NEPC from a YAPOFF to a YAPON cancer class. Therapeutically-induced YAPON NEPC tumors exhibited cell cycle arrest and repression of proliferative transcriptional programs. Importantly, the LSD1i-mediated YAPON state induced sensitivity to an inhibitor of YAP/TEAD function, IAG933, which extended antitumor efficacy against NEPC. Altogether, these findings indicate that patients diagnosed with NEPC may obtain greater relative benefit from LSD1-targeted therapies compared to those with other mCRPC subtypes and that dual inhibition of LSD1 and YAP/TEAD function demonstrates a promising treatment strategy potentially extending to other YAPOFF cancers. SignificanceAcross prostate cancer subtypes, NEPC is exceptionally responsive to LSD1 inhibition and this response is enhanced in combination with a YAP/TEAD disruptor which may improve patient selection and outcomes. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=171 HEIGHT=200 SRC="FIGDIR/small/576106v2_ufig1.gif" ALT="Figure 1"> View larger version (53K): org.highwire.dtl.DTLVardef@77332eorg.highwire.dtl.DTLVardef@1c127d0org.highwire.dtl.DTLVardef@1cec77org.highwire.dtl.DTLVardef@e87ed7_HPS_FORMAT_FIGEXP M_FIG C_FIG

cancer biology↗

bioRxiv2024

Inhibition of Alpha Interferon-Induced miR-873 Negatively Affects the Hepatitis B Virus Expression

BackgroundAlpha interferon (IFN-)-based therapy can effectively treat chronic hepatitis B virus (HBV) infection, which remains a serious public health problem. This study aims to identify the potential biomarker of IFN treatment and investigate the effects of miR-873 on chronic hepatitis B (CHB). MethodsWe utilized the random forest to screen core differentially expressed miRNAs (DEmiRNAs) based on the miRNA (GSE29911) dataset. DEmiRNAs expressions were determined in clinical samples from CHB patients and normal controls. HBV-transfected hepatoma cell lines were constructed for vitro study. Quantitative real-time reverse transcription PCR (RT-qPCR) was used to determine miRNA mRNA expressions. ELISA assays were used to detect the secretion levels of HBsAg and HBeAg. ResultsBoruta feature selection revealed miR-873 hinting at a predictive marker for IFN response. MiR-873 was significantly up-regulated in the CHB patients, as compared with normal controls (P<0.001). Increased expression of miR-873 was also found in HBV-infected cells (P<0.001). With IFN- treatment, miR-873 was significantly down-regulated in HBV-infected Huh-7 and HepG-NTCP cells (P<0.05). IFN- treatment and miR-873 inhibitor significantly reduced HBsAg and HBeAg level (P<0.05). The inhibitory effect was enhanced by blocking the IFN--induced miR-873 downregulation by inhibitor transfection (P<0.05). In miR-873 mimic-treated cells, the inhibitory effect was greatly supressed by blocking the IFN--induced miR-873 downregulation by mimic transfection (P< 0.01). ConclusionWe provide evidence that inhibition of miR-873 by IFN- enhances the antiviral effects of IFN-. Our study provides a potential strategy to enhance the anti-HBV effect of IFN- by inhibiting miR-873 expression.

molecular biology↗

bioRxiv2023

Dispersal and evolution of the invasive snail Pomacea canaliculata, an intermediate host of Angiostrongylus cantonensis: A field study around its initial introduction site in China

Eosinophilic meningitis caused by Angiostrongylus cantonensis is an emerging infectious disease in mainland China. The invasive snail (Pomacea canaliculata) is one of the main intermediate host of the zoonotic nematode. To gain insights into the spatial distribution, phenotypic variation and dispersal pattern of the snail populations. A field survey was conducted using modified nested sampling and selecting ditches as the main habitats. Snail distribution and abundance were displayed with predictions based on an inverse distance-weighted model. Correlation and spatial autocorrelation were analyzed among the measured parameters. The findings of this study demonstrate the well-established and abundant presence of P. canaliculata in ditches. A total of 564 sampling sites were assessed, with measurements taken on 10,145 snails having shell heights greater than 1.5 cm. The average population density was determined to be 20.31 {+/-} 11.55 snails per square meter. Morphological analysis revealed an average snail body mass of 8.93 {+/-} 3.95 g, shell height of 3.38 {+/-} 0.66 cm, a sex ratio of 2.39 {+/-} 1.01 female to male, and a shell color ratio of 9.34 {+/-} 7.52 brown to yellow. Among these measurements, body mass was found to be significantly correlated with shell height (r = 0.88, p < 0.01) and shell color (r = 0.55, p < 0.05). Spatial-correlation analysis proved that shell height was the only factor significantly spatially autocorrelated (MI = 0.27, z = 2.20, p = 0.03), although weak autocorrelations appeared in body mass and shell color. The observed geographic variations of phenotypic traits indicated a human-mediated evolving process of the snail populations and a potential complexity of the parasite transmission system. These findings may enhance the assessment of the epidemiological health risk posed by angiostrongyliasis and inform strategies for controlling infectious snails.

ecology↗

bioRxiv2023

Neratinib Synergizes with Trastuzumab Antibody Drug Conjugate or with Vinorelbine to Treat HER2 Mutated Breast Cancer Patient Derived Xenografts and Organoids.

HER2 (ERBB2) is a major therapeutic drug target in breast cancer and The Cancer Genome Atlas (TCGA) Breast Cancer project and other studies have identified HER2 activating mutations in breast cancers without HER2 gene amplification. HER2 activating mutations occur in 2-5% of metastatic breast cancer patients (MBC), and clinical trials have shown that the irreversible pan-HER tyrosine kinase inhibitor, neratinib, produces a 31-40% clinical benefit rate for HER2 mutated MBC patients. We developed breast cancer patient-derived xenografts (PDX) from ER+, HER2 mutated MBC patients and used them to test neratinib-based drug combinations. Using organoid culture of these PDX breast cancer cells, we performed rapid, high-throughput ex vivo screening assays to test novel drug combinations. These organoid culture experiments identified drug synergy with the neratinib plus ado-trastuzumab emtansine (T-DM1) and neratinib plus vinorelbine combinations and we validated these results with in vivo PDX experiments. Statement of SignificancePDXs are a ready source of human cancer organoids, and with thousands of PDXs already available worldwide, PDX derived organoids (PDxOs) can dramatically accelerate cancer drug testing. This strategy of PDxO drug testing is particularly useful for rare cancer subtypes or mutations to identify the most promising treatment strategies for clinical trials testing.

cancer biology↗

bioRxiv2023

Activating SRC/MAPK signaling via 5-HT1A receptor contributes to the effect of vilazodone on improving thrombocytopenia

Thrombocytopenia caused by long-term radiotherapy and chemotherapy exists in cancer treatment. Previous research demonstrates that 5-Hydroxtrayptamine (5-HT) and its receptors induces the formation of megakaryocytes (MKs) and platelets. However, the relationships between 5-HT1A receptor (5-HTR1A) and MKs is unclear so far. We screened and investigated the mechanism of vilazodone as a 5-HTR1A partial agonist in promoting MK differentiation and evaluated its therapeutic effect in thrombocytopenia. We employed a drug screening model based on machine learning (ML) to screen the megakaryocytopoiesis activity of VLZ. The effects of Vilazodone (VLZ) on megakaryocytopoiesis were verified in HEL and Meg-01 cells. Tg (itga2b: eGFP) zebrafish was performed to analyze the alterations in thrombopoiesis. Moreover, we established a thrombocytopenia mice model to investigate VLZ administration accelerates platelet recovery and function. We carried out network pharmacology, Western blot and immunofluorescence to demonstrate the potential targets and pathway of VLZ. VLZ has been predicted to have a potential biological action. Meanwhile, VLZ administration promotes MK differentiation and thrombopoiesis in cells and zebrafish models. Progressive experiments showed that VLZ has a potential therapeutic effect on radiation-induced thrombocytopenia in vivo. The network pharmacology and associated mechanism study indicated that SRC and MAPK signaling are both involved in the processes of megakaryopoiesis facilitated by VLZ. Furthermore, the expression of 5-HTR1A during megakaryocyte differentiation is closely related to the activation of SRC and MAPK. Our findings demonstrated that the expression of 5-HTR1A on MK, VLZ could bind to the 5-HTR1A receptor and further regulate the SRC/MAPK signaling pathway to facilitate megakaryocyte differentiation and platelet production, which provides new insights into the alternative therapeutic options for thrombocytopenia.

pharmacology and toxicology↗

bioRxiv2023

Single-cell Total-RNA Profiling Unveils Regulatory Hubs of Transcription Factors

Recent development of RNA velocity uses master equations to establish the kinetics of the life cycle of RNAs from nascent RNA to mature RNA to degradation. To feed this kinetic analysis, simultaneous measurement of nascent RNA and mature RNA in single cells is greatly desired. However, the majority of single-cell RNA-seq chemistry only captures mature RNA species to measure gene expressions. Here, we develop a one-step total-RNA chemistry-based scRNA-seq method: snapTotal-seq. We benchmarked this method with multiple single-cell RNA-seq assays in their performance in kinetic analysis of cell cycle by RNA velocity. Next, with LASSO regression between transcription factors, we identified the critical regulatory hubs mediating the cell cycle dynamics. We also applied snapTotal-seq to profile the oncogene-induced senescence and identified the key regulatory hubs governing the entry of senescence. Furthermore, from the comparative analysis of nascent RNA and mature RNA, we identified a significant portion of genes whose expression changes occurred in mature RNA but not to the same degree in nascent RNA, indicating these gene expression changes are mainly controlled by post-transcriptional regulation. Overall, we demonstrate that snapTotal-seq can provide enriched information about gene regulation, especially during the transition between cell states.

genomics↗

bioRxiv2023

Genome-wide CRISPRi Screen in Human iNeurons to Identify Novel Focal Cortical Dysplasia Genes

Focal cortical dysplasia (FCD) is a common cause of focal epilepsy that typically results from brain mosaic mutations in the mTOR cell signaling pathway. To identify new FCD genes, we developed an in vitro CRISPRi screen in human neurons and used FACS enrichment based on the FCD biomarker, phosphorylated S6 ribosomal protein (pS6). Using whole-genome (110,000 gRNAs) and candidate (129 gRNAs) libraries, we discovered 12 new genes that significantly increase pS6 levels. Interestingly, positive hits were enriched for brain-specific genes, highlighting the effectiveness of using human iPSC-derived induced neurons (iNeurons) in our screen. We investigated the signaling pathways of six candidate genes: LRRC4, EIF3A, TSN, HIP1, PIK3R3, and URI1. All six genes increased phosphorylation of S6. However, only two genes, PIK3R3 and HIP1, caused hyperphosphorylation more proximally in the AKT/mTOR/S6 signaling pathway. Importantly, these two genes have recently been found independently to be mutated in resected brain tissue from FCD patients, supporting the predictive validity of our screen. Knocking down each of the other four genes (LRRC4, EIF3A, TSN, and URI1) in iNeurons caused them to become resistant to the loss of growth factor signaling; without growth factor stimulation, pS6 levels were comparable to growth factor stimulated controls. Our data markedly expand the set of genes that are likely to regulate mTOR pathway signaling in neurons and provide additional targets for identifying somatic gene variants that cause FCD. Significance StatementFocal cortical dysplasia (FCD) is a common cause of focal epilepsy due to somatic variants in mTOR pathway genes in FCD brain tissue. Unbiased sequencing to identify novel FCD genes is challenging since these variants are often in a small subset of neurons. To overcome this challenge, we used an in vitro genetic screen in human neurons using an FCD biomarker, uncovering genes that increase neuronal mTOR signaling when their expression is lost. Two candidate genes were mutated in patient FCD brain tissues in a recent study, supporting a causative role for these genes in FCD. Our work suggests gene candidates for somatic variant analysis in FCD tissue and indicates added value for genetic screening in neurons over cell lines.

neuroscience↗

bioRxiv2023

E3 ligase ASB3 downregulates antiviral innate immunity by targeting MAVS for ubiquitin-proteasomal degradation

E3 ubiquitin ligases are very important to regulate antiviral immunity during viral infection. Here, we discovered that Ankyrin repeat and SOCS box-containing protein 3 (ASB3), an E3 ligase, are upregulated in the presence of RNA viruses, particularly Influenza A virus (IAV). Notably, overexpression of ASB3 inhibits type I IFN (IFN-I) responses induced by Sendai virus (SeV) and H9N2, and ablation of ASB3 restores SeV and H9N2 infection-mediated transcription of IFN-{beta} and its downstream interferon-stimulated genes (ISGs). Interestingly, animals lacking ASB3 showed a decreased susceptibility to H9N2 and PR8 infections. Mechanistically, ASB3 interacts with MAVS and directly mediates K48-linked polyubiquitination and degradation of MAVS at K297, thereby inhibiting the phosphorylation levels of TBK1 and IRF3, downregulating downstream antiviral signaling. These findings establish ASB3 as a critical negative regulator in controlling the activation of antiviral signaling and describe a novel function of ASB3 that has not been previously reported. IMPORTANCEIAV is a significant zoonotic pathogen that causes infections of the respiratory system. Hosts have evolved multiple strategies to defend against IAV infection. However, not all host proteins play an active defense role. In this study, we found that the E3 ligase ASB3 regulates antiviral immunity by manipulating MAVS stability. Briefly, overexpression of ASB3 degrades MAVS, thereby promoting viral replication. In contrast, ASB3 deletion restores MAVS expression, upregulating IFN-I responses. Additional research revealed that ASB3 mediates the K48-linked polyubiquitination of MAVS at K297, resulting in ASB3 being degraded via the ubiquitin-proteasome pathway. These findings reveal, for the first time, a novel mechanism by which ASB3 negatively regulates antiviral immunity and provides a potential target for anti-IAV drug development.

immunology↗

bioRxiv2023

Flexible and Controllable Protein Design by Prefix-tuning Large-Scale Protein Language Models

The design of novel proteins with tailored functionalities, particularly in drug discovery and vaccine development, presents a transformative approach to addressing pressing biomedical challenges. Inspired by the remarkable success of pre-trained language models in natural language processing (NLP), protein language models (ProtLMs) have emerged as powerful tools in advancing protein science. While NLP leverages flexible text-based control tags to prompt language model generation, the restricted amino acid space (limited to 20 residues) imposes inherent constraints on achieving analogous controllability. In this study, we propose PrefixProt, a framework for controllable protein design that employs prefix tuning to learn virtual tokens as control tags. These virtual tokens are adaptively tailored to diverse protein properties through a data-driven manner and can be combinatorially integrated to enable multi-objective control over protein generation. The effectiveness of PrefixProt was validated through extensive experiments encompassing both protein structure design (e.g. alpha-helix or beta-sheet topologies) and protein function design (e.g. antimicrobial or anticancer peptide activities). Benchmark results demonstrate that prefix virtual tokens efficiently guide the pre-trained ProtLM by optimizing a smaller number of trainable parameters, out-performing other parameter-efficient fine-tuning methods and text-guided ProtLMs, particularly in scenarios with limited data availability. More importantly, the compositional flexibility of virtual tokens facilitates the generation of proteins with multiple target properties, substantially expanding the scope of design possibilities. By harmonizing controllability, efficiency and generalizability, PrefixProt establishes a robust framework for de novo protein design, with promising applications in drug discovery and biomedicine. Availability and implementationThe models and code are available at: https://github.com/chen-bioinfo/PrefixProt

bioinformatics↗

bioRxiv2023

Host signature as major driver of root and rhizosphere core microbiomes that differently affect plant functional traits

BackgroundPlant can evolve with a core root microbiome that maintains essential functions for host performance. However, the relative importance of plant traits and soil factors on the structure, assembly, co-occurrence networks of the core root microbiomes and their relevance for plant characteristics remain elusive. Here, we investigated how plant species identity and soil environment affect the core bacterial communities in the bulk soil, rhizosphere and root endosphere of four plants with a gradient of Cd/Zn accumulation capacity under controlled and field environments. We further tested on the role of the core bacterial isolates in plant growth and accumulation of metal and nutrients. ResultsWe identified root compartment and plant species rather than environmental parameters as the primary driver of Cd-accumulator root microbiome. Stochastic processes were more important for the assembly of endosphere generalists (58.5%) than rhizosphere counterparts (45.2%), indicating that generalists were more robust to environmental changes. Increasing host selection from epiphytes to endophytes resulted in the existence of the endosphere and rhizosphere generalist core microbiota common to different plants under varying growth environments, highlighting that shared environmental and physiological features of host plants are decisive for core microbiome establishment. Further, endophytic core microbiota conferred greater biotic connectivity within networks and was more important predictors of plant metal accumulation, whereas the rhizosphere cores were more closely linked to plant biomass and nutrient status. The divergent functions of rhizosphere and endosphere core microbes on plant characteristics were also validated by inoculating the synthetic communities comprising bacterial isolates belonging to the core microbiota. ConclusionThis study indicated the pivotal role of plant trait in the assembly of conserved and functionally important core microbiome common to different Cd-accumulators, which brings us closer to manipulating the persistent root microbial associations to accelerate the rejuvenation of metal-disturbed soils through host genetics.

microbiology↗

bioRxiv2023

MiRGraph: A transformer-based feature learning approach to identify miRNA-target interactions

MicroRNAs (miRNAs) mediates gene expression regulation by targeting specific messenger RNAs (mRNAs) in the cytoplasm. They can function as both tumor suppressors and oncogenes depending on the specific miRNA and its target genes. Detecting miRNA-target interactions (MTIs) is critical for unraveling the complex mechanisms of gene regulation and promising towards RNA therapy for cancer. There is currently a lack of MTIs prediction methods that simultaneously perform feature learning from heterogeneous gene regulatory network (GRN) and genomic sequences. To improve the prediction performance of MTIs, we present a novel transformer-based multiview feature learning method - MiRGraph, which consists of two main modules for learning the sequence-based and GRN-based feature embedding. For the former, we utilize the mature miRNA sequences and the complete 3UTR sequence of the target mRNAs to encode sequence features using a hybrid transformer and convolutional neural network (CNN) (TransCNN) architecture. For the latter, we utilize a heterogeneous graph transformer (HGT) module to extract the relational and structural information from the GRN consisting of miRNA-miRNA, gene-gene and miRNA-target interactions. The TransCNN and HGT modules can be learned end-to-end to predict experimentally validated MTIs from MiRTarBase. MiRGraph outperforms existing methods in not only recapitulating the true MTIs but also in predicting strength of the MTIs based on the in-vitro measurements of miRNA transfections. In a case study on breast cancer, we identified plausible target genes of an oncomir.

bioinformatics↗

bioRxiv2023

Repression of mRNA translation initiation by GIGYF1 via blocking the eIF3-eIF4G1 interaction

Viruses commonly interfere with the function of the eukaryotic translation initiation factor 4G1 (eIF4G1), a pivotal factor in the recruitment of the eIF3 complex and ribosome to the mRNA. This results in the inhibition of general host protein synthesis and redirecting ribosomes toward viral mRNAs. Certain viruses also selectively repress the translation of mRNAs involved in the host antiviral response. GIGYF2 and its interacting cap-binding protein 4EHP enable the transcript-specific repression of mRNA translation mediated by microRNAs and RNA-binding proteins (RBPs). RNA viruses, such as SARS-CoV-2, exploit the GIGYF2/4EHP complex to selectively repress the translation of transcripts such as Ifnb1 mRNA, which encodes the antiviral cytokine Interferon {beta} (IFN-{beta}). Herein, we reveal that GIGYF1, a paralogue of GIGYF2, robustly represses cellular mRNA translation through a distinct mechanism independent of 4EHP. Upon recruitment to a target mRNA by RBPs, the C-terminal region of GIGYF1 binds to subunits of eIF3 at the interaction interface of eIF3-eIF4G1. This disrupts binding of eIF3 to eIF4G1, resulting in mRNA-specific translational repression. This mechanism exerts profound influences on the host cells response to viral infection. Depletion of GIGYF1 induces a robust immune response by derepressing Ifnb1 mRNA translation. Overall, our study highlights a unique mechanism of translational regulation by GIGYF1 that involves sequestering eIF3 and abrogating its binding to eIF4G1. This mechanism can be utilized by RBPs that interact with GIGYF1 to specifically repress the translation of their target mRNAs, significantly affecting critical biological processes, including host-pathogen interactions.

cell biology↗

bioRxiv2023

Characterization of Cancer Evolution Landscape Based on Accurate Detection of Somatic Mutations in Single Tumor Cells

Accurate detection of somatic mutations in single tumor cells is greatly desired as it allows us to quantify the single-cell mutation burden and construct the mutation-based phylogenetic tree. Here we developed scNanoSeq chemistry and profiled 842 single cells from 21 human breast cancer samples. The majority of the mutation-based phylogenetic trees comprise a characteristic stem evolution followed by the clonal sweep. We observed the subtype-dependent lengths in the stem evolution. To explain this phenomenon, we propose that the differences are related to different reprogramming required for different subtypes of breast cancer. Furthermore, we reason that the time that the tumor-initiating cell took to acquire the critical clonal-sweep-initiating mutation by random chance set the time limit for the reprogramming process. We refer to this model as a reprogramming and critical mutation co-timing (RCMC) subtype model. Next, in the sweeping clone, we observed that tumor cells undergo a branched evolution with rapidly decreasing selection. In the most recent clades, effectively neutral evolution has been reached, resulting in a substantially large number of mutational heterogeneities. Integrative analysis with 522-713X ultra-deep bulk whole genome sequencing (WGS) further validated this evolution mode. Mutation-based phylogenetic trees also allow us to identify the early branched cells in a few samples, whose phylogenetic trees support the gradual evolution of copy number variations (CNVs). Overall, the development of scNanoSeq allows us to unveil novel insights into breast cancer evolution.

genomics↗

bioRxiv2023

miRNA and mRNA Signatures in Human Acute Kidney Injury Tissue

Acute kidney injury (AKI) is an important contributor to the development of chronic kidney disease (CKD). There is a need to understand molecular mediators that drive either recovery or progression to CKD. In particular, the role of miRNA and its regulatory role in AKI is poorly understood. We performed miRNA and mRNA sequencing on biobanked human kidney tissues obtained in the routine clinical care of patients with the diagnoses of AKI and minimal change disease (MCD), in addition to nephrectomized (Ref) tissue from individuals without known kidney disease. Transcriptomic analysis of mRNA revealed that Ref tissues exhibited a similar injury signature to AKI, not identified in MCD samples. The transcriptomic signature of human AKI was enriched with genes in pathways involved in cell adhesion and epithelial-to-mesenchymal transition (e.g., CDH6, ITGB6, CDKN1A). miRNA DE analysis revealed upregulation of miRNA associated with immune cell recruitment and inflammation (e.g., miR-146a, miR-155, miR-142, miR-122). These miRNA (i.e., miR-122, miR-146) are also associated with downregulation of mRNA such as DDR2 and IGFBP6, respectively. These findings suggest integrated interactions between miRNAs and target mRNAs in AKI-related processes such as inflammation, immune cell activation and epithelial-to-mesenchymal transition. These data contribute several novel findings when describing the epigenetic regulation of AKI by miRNA, and also underscores the importance of utilizing an appropriate reference control tissue to understand canonical pathway alterations in AKI.

cell biology↗

bioRxiv2023

The Diversity of NLRs in Brassica rapa Pan-genome

The species Brassica rapa is mainly cultivated as a vegetable crop with high economic value. But infectious diseases, such as soft rot disease and clubroot disease can cause severe yield losses. Introducing resistance genes through breeding is an efficient and sustainable way to reduce the susceptibility and improve the yield of crops. Nucleotide-Binding Leucine-Rich Repeat (NLR) genes are the main types of resistance genes. They can recognize pathogen effectors and initiate downstream immune response. However, the intraspecific diversity of NLR genes in Brassica rapa has remained unknown. Based on domain similarity search and machine learning pipeline, we identified 2188 NLRs in 17 accessions of Brassica rapa genomes, which constitute the species-wide pan-NLRome in Brassica rapa. The diversity of the four types of NLR genes are significantly different in the aspects of chromosome location, number stability, integrated domains (IDs), evolutionary trajectory, and positive selection sites. Phylogenetic analyses show TNL-type NLRs whose N terminus contain Toll/interleukin-1 receptor (TIR) domain experienced accession-specific expansion. Moreover, the expanded TNL-type NLRs carry more positively selected amino acid residues which are mainly located on the protein surface based on their 3D structures. These evidences might imply their important biological function in perceiving pathogen effectors. Taken together, our study provides better insights into the diversity and variation of NLR genes in Brassica rapa pangemone, which can facilitate the biofunction assigning, cloning, and subsequent application in breeding programs.

genomics↗

bioRxiv2023

EZH2 synergizes with BRD4-NUT to drive NUT carcinoma growth through silencing of key tumor suppressor genes

NUT carcinoma (NC) is an aggressive carcinoma driven by the BRD4-NUT fusion oncoprotein, which activates chromatin to promote expression of pro-growth genes. BET bromodomain inhibitors (BETi) impede BRD4-NUTs ability to activate genes and are thus a promising treatment but limited as monotherapy. The role of gene repression in NC is unknown. Here, we demonstrate that EZH2, which silences genes through establishment of repressive chromatin, is a dependency in NC. Inhibition of EZH2 with the clinical compound tazemetostat (taz) potently blocked growth of NC cells. Epigenetic and transcriptomic analysis revealed that taz reversed the EZH2-specific H3K27me3 silencing mark, and restored expression of multiple tumor suppressor genes while having no effect on key oncogenic BRD4- NUT-regulated genes. CDKN2A was identified as the only gene amongst all taz-derepressed genes to confer resistance to taz in a CRISPR-Cas9 screen. Combined EZH2 inhibition and BET inhibition synergized to downregulate cell proliferation genes resulting in more pronounced growth arrest and differentiation than either inhibitor alone. In pre-clinical models, combined taz and BETi synergistically blocked growth and prolonged survival of NC-xenografted mice, with all mice cured in one cohort. STATEMENT OF SIGNIFICANCEIdentification of EZH2 as a dependency in NC substantiates the reliance of NC tumor cells on epigenetic dysregulation of functionally opposite, yet highly complementary chromatin regulatory pathways to maintain NC growth. In particular, repression of CDKN2A expression by EZH2 provides a mechanistic rationale for combining EZH2i with BETi for the clinical treatment of NC.

cancer biology↗