Biology subjects

Wu, H.

Publications and source records attributed to Wu, H..

At least 361 records · Page 20Linked to original sources

bioRxiv2022

The thermodynamic state of aerobic glycolytic flux plays a critical role in stabilizing aerobic glycolytic flux of cancer cells

Inhibition of aerobic glycolysis (AG) is a strategy for cancer treatment, but its clinical translation has not been successful, suggesting that the mechanism underlying the inhibition of AG is not completely understood. We introduce thermodynamic state of AG (TSAG) into AG flux control, which refers the actual change of Gibbs free energy ({Delta}G) of reactions along the pathway. By using PKM2 knockdown and knockout models, we found that TSAG is resistant to PKM2 perturbation and it can effectively counteract the inhibitory effect of PKM2 perturbation on AG flux. Moreover, we deciphered the interrelationship between TSAG, AG rate, intermediate concentrations, and PK activity, revealed that TSAG is a system property of AG independent of cancer cells pathophysiological features and it plays important roles in stabilizing AG flux responding to perturbation. We propose that both inhibition of glycolytic enzyme and disruption of TSAG are required for effective AG inhibition.

cancer biology↗

bioRxiv2022

Text mining and portal development for gene-specific publications on Alzheimer's disease and other neurodegenerative diseases

BackgroundTremendous research efforts have been made in the Alzheimers disease (AD) field to understand the disease etiology, progression and discover treatments for AD. Many mechanistic hypotheses, therapeutic targets and treatment strategies have been proposed in the last few decades. Reviewing previous work and staying current on this ever-growing body of AD publications is an essential yet difficult task for AD researchers. MethodsIn this study, we designed and implemented a natural language processing (NLP) pipeline to extract gene-specific neurodegenerative disease (ND) -focused information from the PubMed database. The collected publication information was filtered and cleaned to construct AD-related gene-specific publication profiles. Six categories of AD-related information are extracted from the processed publication data: publication trend by year, dementia type occurrence, brain region occurrence, mouse model information, keywords occurrence, and co-occurring genes. A user-friendly web portal is then developed using Django framework to provide gene query functions and data visualizations for the generalized and summarized publication information. ResultsBy implementing the NLP pipeline, we extracted gene-specific ND-related publication information from the abstracts of the publications in the PubMed database. The results are summarized and visualized through an interactive web query portal. Multiple visualization windows display the ND publication trends, mouse models used, dementia types, involved brain regions, keywords to major AD-related biological processes, and co-occurring genes. Direct links to PubMed sites are provided for all recorded publications on the query result page of the web portal. ConclusionThe resulting portal is a valuable tool and data source for quick querying and displaying AD publications tailored to users interested research areas and gene targets, which is especially convenient for users without informatic mining skills. Our study will not only keep AD field researchers updated with the progress of AD research, assist them in conducting preliminary examinations efficiently, but also offers additional support for hypothesis generation and validation which will contribute significantly to the communication, dissimilation and progress of AD research.

bioinformatics↗

bioRxiv2022

Separation of transcriptional repressor and activator functions in HDAC3

The histone deacetylase HDAC3 is associated with the NCoR/SMRT co-repressor complex and its canonical function is in transcriptional repression, but it can also activate transcription. Here we show that the repressor and activator functions of HDAC3 can be genetically separated in Drosophila. A lysine substitution in the N-terminus (K26A) disrupts its catalytic activity and activator function, whereas a combination of substitutions (HEBI) abrogating the interaction with SMRTER enhance repressor activity beyond wild-type in the early embryo. We conclude that the critical functions of HDAC3 in embryo development involve catalytic-dependent gene activation and non-enzymatic repression by several mechanisms, including tethering of loci to the nuclear periphery.

molecular biology↗

bioRxiv2022

Pre-assembled Cas9 ribonucleoprotein-mediated gene deletion identifies the carbon catabolite repressor and its target genes in Coprinopsis cinerea

Cre1 is an important transcription factor that regulates carbon catabolite repression (CCR) and is widely conserved across fungi. This gene has been extensively studied in several Ascomycota species, whereas its role in gene expression regulation in the Basidiomycota remains poorly understood. Here, we identified and investigated the role of cre1 in Coprinopsis cinerea, a basidiomycete model mushroom that can efficiently degrade lignocellulosic plant wastes. We used a rapid and efficient gene deletion approach based on PCR-amplified split-marker DNA cassettes together with in-vitro assembled Cas9-guide RNA ribonucleoproteins (Cas9-RNPs) to generate C. cinerea cre1 gene deletion strains. Gene expression profiling of two independent C. cinerea cre1 mutants showed significant deregulation of carbohydrate metabolism, plant cell wall degrading enzymes (PCWDEs), plasma membrane transporter-related and several transcription factor encoding genes, among others. Our results support the notion that, similarly to reports in the ascomycetes, Cre1 of C. cinerea orchestrates CCR through a combined regulation of diverse genes, including PCWDEs, transcription factors that positively regulate PCWDEs and membrane transporters which could import simple sugars that can induce the expression of PWCDEs. Somewhat paradoxically, though in accordance with other Agaricomycetes, genes related to lignin degradation were mostly downregulated in cre1 mutants, indicating they fall under different regulation than other PCWDEs. The gene deletion approach and the data presented in this paper expand our knowledge of CCR in the Basidiomycota and provide functional hypotheses on genes related to plant biomass degradation. ImportanceMushroom-forming fungi include some of the most efficient degraders of lignocellulosic plant biomass. They degrade dead plant materials by a battery of lignin-, cellulose-, hemicellulose- and pectin-degrading enzymes, the encoding genes of which are under tight transcriptional control. One of the highest-level regulation of these metabolic enzymes is known as carbon catabolite repression, which is orchestrates by the transcription factor Cre1, and ensures that costly lignocellulose-degrading enzyme genes are expressed only when simple carbon sources (e.g. glucose) are not available. Here, we identified the Cre1 ortholog in a litter-decomposer Agaricomycete, Coprinopsis cinerea, knocked it out and characterized transcriptional changes in the mutants. We identified several dozen lignocellulolytic enzyme genes as well as membrane transporters and other transcription factors as putative target genes. These results extend knowledge on carbon catabolite repression to litter decomposer Basidiomycota.

microbiology↗

bioRxiv2022

A bacterial E2 enzyme regulates an antiviral cGAS through a peptide exchange-ligation-cleavage mechanism

The cyclic oligonucleotide-based anti-phage signaling system (CBASS) is a family of defense system in prokaryotes1, 2. Composed of a cyclic GMP-AMP synthase (cGAS) and CBASS-associated proteins, CBASS utilizes cyclic oligonucleotides to activate antiviral immunity3-6. One major group of CBASS-associated proteins are homologs of eukaryotic E2 ubiquitin-conjugating enzymes. However, the function of E2 in CBASS remains elusive. Here, we report that a bacterial E2 enzyme regulates cGAS by imitating the entire ubiquitination cascade. This includes the processing of the cGAS C-terminus, conjugation of cGAS to a cysteine residue, ligation of cGAS to a lysine residue, cleavage of the isopeptide bond, and poly-cGASylation. The poly-cGASylation fully activates cGAS to produce cGAMP, which acts as an antiviral signal and leads to cell death. Our findings reveal unique regulatory roles of E2 in CBASS and provide insights into the origin of the ubiquitin system.

microbiology↗

bioRxiv2022

Myeloid cell evolution uncovered by shrimp immune cell analysis at single-cell resolution

How myeloid cells evolved from invertebrate to vertebrate is still a mystery. Here we collected circulating hemocytes from a marine invertebrate-Penaeus vannamei via gradient centrifugation and identified prohemocyte, monocytic hemocyte and granulocyte as three major types of cells in shrimp hemolymph by single-cell mRNA sequencing. Additional pseudotime trajectory analysis revealed that shrimp monocytic hemocytes and granulocytes were differentiated from a common progenitor which was similar with that of human myeloid cells. More interestingly, we identified that MH2, a terminal differentiated monocytic hemocyte, was a macrophage-like phagocytic cell which could engulf fluorescein labelled Vibrio parahaemolyticus and shared nine marker genes including inflammasome components Nlrp3 and Casp1 with human macrophage. After that, we compared our classification with traditional shrimp hemocytes classification and found that hyalinocyte included both prohemocyte and monocytic hemocyte while semi-granulocyte included both monocytic hemocyte and granulocyte. In general, our results redefine shrimp hemocyte classification based on functional marker genes and unveil evolutionary trace of myeloid cells in marine invertebrate.

immunology↗

bioRxiv2022

A live attenuated vaccine confers superior mucosal and systemic immunity to SARS-CoV-2 variants

Vaccines are a cornerstone in COVID-19 pandemic management. Here, we compare immune responses to and preclinical efficacy of the mRNA vaccine BNT162b2, an adenovirus-vectored spike vaccine, and the live-attenuated-virus vaccine candidate sCPD9 after single and double vaccination in Syrian hamsters. All regimens containing sCPD9 showed superior efficacy. The robust immunity elicited by sCPD9 was evident in a wide range of immune parameters after challenge with heterologous SARS-CoV-2 including rapid viral clearance, reduced tissue damage, fast differentiation of pre-plasmablasts, strong systemic and mucosal humoral responses, and rapid recall of memory T cells from lung tissue. Our results demonstrate that use of live-attenuated vaccines may offer advantages over available COVID-19 vaccines, specifically when applied as booster, and may provide a solution for containment of the COVID-19 pandemic.

immunology↗

bioRxiv2022

Microbial metabolite butyrate-prodrug polymeric micelles promote gut health and treat food allergies

The microbiome modulates host immunity and aids in maintenance of tolerance in the gut, where microbial and food-derived antigens are abundant. Modern lifestyle practices, including diet and antibiotic use, have depleted beneficial taxa, specifically butyrate-producing Clostridia. This depletion is associated with the rising incidence of food allergy, inflammatory bowel diseases, and other noncommunicable chronic diseases. Although butyrate is known to play important roles in regulating gut immunity and maintaining epithelial barrier function, its clinical translation is challenging due to its offensive odor and quick absorption in the upper gut. Here, we have developed two polymeric micelle systems, one with a neutral charge (NtL-ButM) and one with a negative charge (Neg-ButM) that release butyrate from their polymeric core in different regions of the gastrointestinal tract when administered intragastrically to mice. We show that these butyrate-containing micelles, used in combination, restore a barrier-protective response in mice treated with either dextran sodium sulfate or antibiotics. Moreover, butyrate micelle treatment protects peanut-allergic dysbiotic mice from an anaphylactic reaction to peanut challenge and rescues their antibiotic-induced dysbiosis by increasing the abundance of Clostridium Cluster XIVa. Butyrate micelle treatment also reduces the severity of colitis in a murine model. By restoring microbial and mucosal homeostasis, these butyrate-prodrug polymeric micelles may function as a new, antigen-agnostic approach for the treatment of allergic and inflammatory disease.

bioengineering↗

bioRxiv2022

Piezo mechanosensory channels regulate centrosome integrity

Piezo1 and 2 are evolutionarily conserved mechanosensory cation channels known to function on the cell surface by responding to external pressure and transducing a mechanically activated Ca2+ current. Here we show that both Piezo1 and 2 also exhibit concentrated intracellular localization at centrosomes. Both Piezo1 and 2 loss-of-function and Piezo1 activation by the small molecule Yoda1 produced supernumerary centrosomes due to inappropriate centriole disengagement. Using a centrosome-localized GCaMP Ca2+-sensitive reporter, we show that perturbations in Piezo modulate Ca2+ local concentration at centrosomes. We designed a photoactivable Yoda1 analog (caged-Yoda1) and revealed that its photoactivation specifically at centrosomes leads to rapid premature centriole disengagement within minutes. We identified the sorting nexin Snx5, which is involved in endocytic uptake and trafficking, as a protein-interactor with the conserved Piezo C-terminal domain, and Snx5 also co-localizes with Piezo1 and 2 at centrosomes. Moreover, inhibition of Polo-like-kinase 1 (PLK1) abolishes Yoda1-induced centriole disengagement. Collectively, these data suggest that Piezo1 and 2 in pericentrosomal endosomes control centrosome integrity, likely by maintaining local Ca2+ within a defined range through mechanotransduction of cell intrinsic forces from microtubules.

cell biology↗

bioRxiv2022

Every individual makes a difference: A trinity derived from linking individual brain morphometry, connectivity and mentalising ability

Mentalising ability, indexed as the ability to understand others beliefs, feelings, intentions, thoughts and traits, is a pivotal and fundamental component of human social cognition. However, considering the multifaceted nature of mentalising ability, little research has focused on characterising individual differences in different mentalising components. And even less research has been devoted to investigating how the variance in the structural and functional patterns of the amygdala and hippocampus, two vital subcortical regions of the social brain, are related to inter-individual variability in mentalising ability. Here, as a first step toward filling these gaps, we exploited inter-subject representational similarity analysis (IS-RSA) to assess relationships between amygdala and hippocampal morphometry (surface-based multivariate morphometry statistics, MMS), connectivity (resting-state functional connectivity, rs-FC) and mentalising ability (interactive mentalisation questionnaire (IMQ) scores) across the participants (N = 24). In IS-RSA, we proposed a novel pipeline, i.e., computing patching and pooling operations-based surface distance (CPP-SD), to obtain a decent representation for high-dimensional MMS data. On this basis, we found significant correlations (i.e., secondorder isomorphisms) between these three distinct modalities, indicating that a trinity existed in idiosyncratic patterns of brain morphometry, connectivity and mentalising ability. Notably, a region-related mentalising specificity emerged from these associations: self-self and self-other mentalisation are more related to the hippocampus, while other-self mentalisation shows a closer link with the amygdala. Furthermore, by utilising the dyadic regression analysis, we observed significant interactions such that subject pairs with similar morphometry had even greater mentalising similarity if they were also similar in rs-FC. Altogether, we demonstrated the feasibility and illustrated the promise of using IS-RSA to study individual differences, deepening our understanding of how individual brains give rise to their mentalising abilities.

neuroscience↗

bioRxiv2022

Kinetic and Redox Characterization of KRAS G12C Inhibition

The development of mutant-selective inhibitors for the KRASG12C allele has generated considerable excitement. These KRASG12C inhibitors covalently engage the mutant C12 thiol located within the phosphoryl binding loop of RAS, locking the KRASG12C protein in an inactive state. While clinical trials of these inhibitors have been promising, mechanistic questions regarding the reactivity of this thiol remain, motivating the present studies. Measurement of the C12 thiol pKa by NMR and an independent biochemical assay found a depressed pKa (relative to free cysteine) of 7.6 consistent with its susceptibility to chemical ligation. Using a novel and validated fluorescent KRASY137W variant amenable to stopped-flow spectroscopy, we characterized the kinetics of KRASG12C fluorescence changes upon addition of ARS-853 or AMG 510, noting that ARS-853 addition at 5{degrees}C elicited both a rapid first phase (attributed to binding, yielding a Kd of 36.0 {+/-} 0.7 M), and a second, slower pH-dependent phase taken to represent covalent ligation. Consistent with the lower pKa of the C12 thiol, we found that reversible and irreversible oxidation of KRASG12C occurred readily both in vitro and in the cellular environment, preventing the covalent binding of ARS-853. Moreover, we found that oxidation of the KRASG12C thiol to sulfinic acid alters RAS conformation and dynamics to be more similar to KRASG12D in comparison to the unmodified protein, as assessed by molecular dynamics simulations. Taken together, these findings provide insight for future KRASG12C drug discovery efforts as well as identifying the occurrence of G12C oxidation with currently unknown biological ramifications.

biochemistry↗

bioRxiv2022

DTSyn: a dual-transformer-based neural network to predict synergistic drug combinations

Drug combination therapies are superior to monotherapy for cancer treatment in many ways when addressing tumor heterogeneity issue. For wet-lab experiment, screening out novel synergistic drug pairs is challenging due to the enormous searching space of possible drug pairs. Thus, computational methods have been developed to predict drug pairs with potential synergistic function. Notwithstanding the success of current models, the power of generalization to other datasets as wells as understanding of mechanism for chemical-chemical interaction or chemical-sample interaction are lack of study, hindering current algorithms from real application. In this paper, we proposed a deep neural model termed DTSyn (Dual Transformer model for drug pair Synergy prediction) based on multi-head attention mechanism to identify novel drug combinations. We designed a fine-granularity transformer for capturing chemical substructure-gene and gene-gene associations and a coarse-granularity transformer for extracting chemical-chemical and chemical-cell line interactions. DTSyn achieves highest Receiver operating characteristic area under curve (ROC AUC) of 0.73, 0.78. 0.82 and 0.81 on four different cross validation tasks, outperforming all competing methods. Further, DTSyn achieved best True Positive Rate (TPR) over five independent datasets. The ablation study showed that both transformer blocks contributed to the performance of DTSyn. In addition, DTSyn can extract interactions among chemicals and cell lines, which may represent the mechanisms of drug action. Thus, we envision our model a valuable tool to prioritize synergistic drug pairs by utilizing chemicals and transcriptome data.

bioinformatics↗

bioRxiv2022

Plant Virus Database: a resource for exploring the diversity of plant viruses and their interactions with hosts

Plant viruses cause huge damage to commercial crops, yet the studies towards plant viruses are limited and the diversity of plant viruses are under-estimated yet. This study built an up-to-date atlas of plant viruses by computationally identifying viruses from the RNA-seq data in the One Thousand Plant Transcriptomes Initiative (1KP) and by integrating plant viruses from public databases, and further built the Plant Virus Database (PVD, freely available at http://47.90.94.155/PlantVirusBase/#/home) to store and organize these viruses. The PVD contained 3,206 virus species and 9,604 virus-plant host interactions which were more than twice that reported in previous plant virus databases. The plant viruses were observed to infect only a few plant hosts and vice versa. Analysis and comparison of the viromes in the Monocots and Eudicots, and those in the plants in tropical and temperate regions showed significant differences in the virome composition. Finally, several factors including the viral group (DNA and RNA viruses), enveloped or not, and the transmission mode of viruses, were found to have no or weak associations with the host range of plant viruses. Overall, the study not only provides a valuable resource for further studies of plant viruses, but also deepens our understanding towards the genetic diversity of plant viruses and the virus-host interactions.

microbiology↗

bioRxiv2022

Zfp281 inhibits the pluripotent-to-totipotent state transition in mouse embryonic stem cells

The cell-fate transition between pluripotent and totipotent states determines embryonic development and the first cell-lineage segregation. However, limited by the scarcity of totipotent embryos, regulators on this transition remain largely elusive. A novel model to study the transition has been recently established, named the 2-cell-like (2C-like) model. The 2C-like cells are rare totipotent-like cells in the mouse embryonic stem cell (mESC) culture. Pluripotent mESCs can spontaneously transit into and out of the 2C-like state. We previously dissected the transcriptional roadmap of the transition. In this study, we revealed that Zfp281 is a novel regulator for the pluripotent-to-totipotent transition in mESCs. Zfp281 is a transcriptional factor involved in the cell-fate transition. Our study shows that Zfp281 represses transcripts upregulated during the 2C-like transition via Tet1 and consequentially inhibits mESCs from transiting into the 2C-like state. Interestingly, we found that the inhibitory effect of Zfp281 on the 2C-like transition leads to an impaired 2C-like-transition ability in primed-state mESCs. Altogether, our study reveals a novel mediator for the pluripotent-to-totipotent state transition in mESCs and provides insights into the dynamic transcriptional control of the transition.

cell biology↗

bioRxiv2022

A chemical molecule promotes Trop2+ biliary duct organoids differentiation into insulin-secreting cells

Cell replacement therapy is a hopeful strategy for diabetes treatment, whereas lack of pancreas donors leads this strategy to a dilemma. Here, we demonstrate that Trop2 is a useful marker to enrich the progenitors with a long-term organoid formation capability from extrahepatic bile ducts in both mouse and human. Based on BMP7 initiation, the Trop2-positive mouse extrahepatic bile duct organoids (mBDOs) could be induced to produce 8.49 {+/-} 0.45% of insulin-secreting cells. We further screened out a chemical small molecule TLY142, which significantly increased the proportion of insulin-secreting cells to 19.9 {+/-} 0.62% and 25.50 {+/-} 4.82% in induced mouse and human extrahepatic bile duct organoids (hBDOs) in vitro, and transplantation of these differentiated organoids into STZ-induced diabetic nude mice remarkably improved their blood glucose and enhanced glucose sensitivity. This study provides a novel strategy that using small molecules promotes biliary duct organoids differentiation into {beta} cells to cure diabetes. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=198 HEIGHT=200 SRC="FIGDIR/small/483710v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@3c85b5org.highwire.dtl.DTLVardef@16e3874org.highwire.dtl.DTLVardef@13c509corg.highwire.dtl.DTLVardef@d0608f_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

bioRxiv2022

Single-cell RNA Sequencing of Pediatric Ependymoma Unravels Subclonal Heterogeneity Associated with Patient Survival

Ependymoma (EPN) is a malignant glial tumor occurring throughout central nervous system which commonly presents in children. Although recent studies have characterized EPN samples at both the bulk and single-cell level, intra-tumoral heterogeneity across subclones remains a confounding factor which impedes understanding of EPN biology. In this study, we generated a high-resolution single-cell dataset of pediatric ependymoma with a particular focus on the comparison of subclone differences within tumors, and show upregulation of cilium-associated genes in more highly differentiated subclone populations. As a proxy to traditional pseudotime analysis, we applied a novel trajectory scoring method to reveal cellular compositions associated with poor survival outcomes across primary and relapsed patients. Furthermore, we identified putative cell-cell communication features between relapsed and primary samples and show upregulation of pathways associated with immune cell crosstalk. Our results reveal both inter- and intratumoral gene expression profiles and tumor differentiation and provide a framework for studying transcriptomic signatures of individual subclones in ependymoma at single-cell resolution.

bioinformatics↗

bioRxiv2022

Measuring brain beats: cardiac-aligned fast fMRI signals

Blood and cerebrospinal fluid (CSF) pulse and flow throughout the brain, driven by the cardiac cycle. These fluid dynamics, which are essential to healthy brain function, are characterized by several noninvasive magnetic resonance imaging (MRI) methods. Recent developments in fast MRI, specifically simultaneous multislice (SMS) acquisition methods, provide a new opportunity to rapidly and broadly assess cardiac-driven flow, including CSF spaces, surface vessels and parenchymal vessels. We use these techniques to assess blood and CSF flow dynamics in brief (3.5 minute) scans on a conventional 3T MRI scanner. Cardiac pulses are measured with a photoplethysmograph (PPG) on the index finger, along with fMRI signals in the brain. We retrospectively analyze the fMRI signals gated to the heart beat. Highly reliable cardiac-gated fMRI temporal signals are observed in CSF and blood on the timescale of one heartbeat (test-retest reliability within subjects R2>0.50). Cardiac pulsations with a local minimum following systole are observed in blood vessels, with earlier extrema in the carotid and basilar arteries and in branches of the anterior, posterior and middle cerebral arteries and extrema [~]200 ms later in the superior sagittal, transverse and straight sinuses. CSF spaces in the ventricles and subarachnoid space showed cardiac pulsations with a local maximum following systole instead. Similar responses are observed, with less temporal detail, in slower resting state scans with slice timing retrospectively aligned to the cardiac pulse in the same manner. The SMS measurements rapidly, noninvasively and reliably sample brain-wide fMRI signal pulsations aligned to the heartbeat. The measurements estimate the amplitude and phase of cardiac driven fMRI pulsations in the CSF relative to those in the arteries, which is thought to be an estimate of the local intracranial impedance. Cardiac aligned fMRI signals can provide new insights about fluid dynamics or diagnostics for diseases where these dynamics are important.

neuroscience↗

bioRxiv2022

Comprehensive dissection of immune microenvironment in the progression of early gastric cancer at spatial and single-cell resolution

While the changes of tumor immune microenvironment (TME) have critical implications for most tumor progression, works that could reveal the compositions and immunity features of TME are needed. Profiling gastric malignant cells at single-cells resolution has shown the transcriptional heterogeneity is represented at different states of gastric cancer, implying that diverse cell states may exist, including immune cells, and all components in TME make some balances in early gastric cancer (EGC) progression. However, it remains unclear how immune cells contributing malignancy of gastritis, constituting general characteristics of gastric TME. Furthermore, the role of specific interactions among cells in gastric TME remains to be illustrated. Here, we performed spatial transcriptomes and single-cell RNA-seq analysis across 18 gastric samples, identifying 17 celltypes and reconstructing their location information. We found that immune cells represented different degree of dysregulations during the progression from non-atrophic gastritis (NAG), atrophic gastritis (AG) to EGC, including imbalance of cytotoxic and inhibitory effects in T cells, maturation inhibition in B cells and malignant genes up-regulated obviously in myeloid cells. Besides, pathway activities showed that hypoxia, reactive oxygen species and fatty metabolism signaling were activated from AG stage, which may accelerate progression of EGC. Moreover, cellular interactions further identified the roles of hypoxia in gastric TME. Overall, the multi-omics data presented in this study offer a comprehensive view of immune cell types, states changes and locations within the gastric tissues during the progression from NAG, AG to EGC, advancing our understanding of the composition and immunity of different gastric states, offering diagnostic and preventive thoughts for EGC.

cancer biology↗