Biology subjects

Xu, G.

Publications and source records attributed to Xu, G..

At least 73 records · Page 4Linked to original sources

bioRxiv2024

Hyperbaric Oxygen-Induced acute lung injury: A Mouse Model Study on Pathogenesis and Recovery Dynamics

Hyperbaric oxygen (HBO) therapy is extensively used to treat a number of ailments. Although oxygen is crucial for survival, too much oxygen can be harmful. Excessive oxygen inhalation in a short period of time can lead to injury, and the lung is one of the main target organs. Lung injury induced by hyperbaric oxygen is notably more severe than that caused by normobaric oxygen, yet systematic research on such injury and its regression is scarce. In this study, mice were exposed to 2 atmospheres absolute (ATA), [>=] 95% oxygen for 2, 4, 6, 8 hours. Changes in lung histopathology, inflammation and expression of chemokines, vascular endothelial permeability, 8-OHdG and apoptotic cells were detected before and after the exposure. These parameters were also measured immediately, 12 hours, and 24 hours following 6 hours of exposure to 2 ATA of [>=]95% oxygen. The study indicates that lung damage from HBO is histologically characterized by bronchiolar and alveolar dilation, atelectasis, inflammatory cell infiltration, and hemorrhage. At 2 ATA with over 95% oxygen for 4 hours, there is a significant increase in pulmonary vascular permeability, as evidenced by elevated Evans blue scores (p = 0.02). After 6 hours of HBO exposure, there is a significant rise in pulmonary tissue pathology scores, 8-OHdG levels, and inflammatory and chemotactic factors (such as IL-6, CCL2, CCL3, CXCL5, and CXCL10), along with intercellular adhesion molecule 1 (ICAM1), vascular cell adhesion molecule 1(VCAM1). Moreover, it was observed that these markers continued to progress even after leaving the hyperoxic environment, peaking at 12 hours and starting to recover after 24 hours, suggesting that the peak of inflammatory lung damage occurs within 12 hours post-exposure, with recovery beginning at 24 hours. However, the content of Evans Blue, reflecting vascular endothelial damage, and ICAM1, VCAM1 remain significantly elevated 24 hours after leaving the hyperoxic environment, indicating that the pulmonary vasculature endothelium is the most sensitive to damage and the slowest to recover in HBO-induced lung injury. These findings provide evidence for the prevention and treatment of acute lung injury complications caused by HBO. NEW & NOTEWORTHYThis study systematically observed the development and outcome changes of ALI induced by HBO. In lung injuries caused by high partial pressure of oxygen, the pulmonary vascular endothelial cells are the first to be damaged and the slowest to recover. A 6-hour exposure to 2 ATA, [>=]95% oxygen of hyperbaric oxygen primarily causes oxidative DNA damage and inflammatory responses without significant apoptosis. The lung injury progresses even after leaving the high-oxygen setting, with inflammation peaking at 12 hours post-exposure and beginning to subside after 24 hours.

physiology↗

bioRxiv2024

Integrated multi-omics analysis of Klebsiella pneumoniae revealed the discrepancy in flavonoid effect against strain growth between Rutin and Luteolin

The emergence of drug resistant pathogenic bacteria is increasingly challenging conventional antibiotics. Plant derived flavonoids are always considered as potential alternatives to antibiotics due to their antimicrobial properties. However, the molecular mechanisms by which flavonoids inhibit pathogenic microorganisms growth are not fully understood. In order to better understand the inhibitory mechanism of flavonoids, two flavonoids were used to incubate Klebsiella pneumoniae ATCC700603. After incubation for 4 hours, both the metabolomic and transcriptomic analysis were performed. In present study, 5,483 genes and 882 metabolites were measured. Compared to wild control, the Rutin and Luteolin induced 507 and 374 differentially expressed genes (DEGs), respectively. However, the number of differential abundant metabolites (DAMs) were the same. The correlation between DEGs and DAMs were studied. The top 10 correlated DEGs and DAMs were identified in each comparative groups. Our results showed that, compared to Luteolin, Rutin induced the accumulation of metabolites and suppressed genes expression. Our results provided an explanation for the disparate effects of two flavonoids and demonstrated the inhibitory mechanism of Rutin on strain growth.

bioinformatics↗

bioRxiv2024

Microbial community assembly during aging of food waste-derived hydrochar: key bacterial guilds mediate nutrient dynamics

Hydrochar aging may mitigate the adverse effects of direct application on plant growth. However, little is known about the strategies for accelerating this process and the microbiological mechanisms involved. This study explored the effects of three strategies, including the additions of straw and efficient-degrading microorganisms, on the aging processes of food waste-derived hydrochar, and the key microbial drivers. The bacterial and fungal community compositions in hydrochar were estimated at different aging periods (i.e., day 1, 7, 14 and 35) using 16S and ITS rRNA gene sequencing. The results showed that straw and microbial inoculum addition improved the temperature and shortened the aging time by [~]30%. Three bacterial guilds, mainly including Bacillus-like species, were identified that had significant correlations with the nitrogen (N) and phosphorus (P) dynamics during aging. This study demonstrates the feasibility of manipulating key microbial guilds artificially to achieve efficient harmless-treatment of hydrochar. HighlightsO_LIStraw and microbial inoculum addition reduced ageing duration by 30%. C_LIO_LIMicrobial inoculum addition increases the aging reaction temperature by 13%. C_LIO_LIBacteria, rather than fungi, play the critical role in hydrochar aging. C_LIO_LIBacillus and related species drive nitrogen and phosphorus cycles of aging. C_LI Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=155 SRC="FIGDIR/small/580608v1_ufig1.gif" ALT="Figure 1"> View larger version (68K): org.highwire.dtl.DTLVardef@b2c2c9org.highwire.dtl.DTLVardef@124ab1org.highwire.dtl.DTLVardef@e5c00borg.highwire.dtl.DTLVardef@1a31deb_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2023

CLSY docking to Pol IV requires a conserved domain critical for small RNA biogenesis and transposon silencing.

Eukaryotes must balance the need for gene transcription by RNA polymerase II (Pol II) against the danger of mutations caused by transposable element (TE) proliferation. In plants, these gene expression and TE silencing activities are divided between different RNA polymerases. Specifically, RNA polymerase IV (Pol IV), which evolved from Pol II, transcribes TEs to generate small interfering RNAs (siRNAs) that guide DNA methylation and block TE transcription by Pol II. While the Pol IV complex is recruited to TEs via SNF2-like CLASSY (CLSY) proteins, how Pol IV partners with the CLSYs remains unknown. Here we identified a conserved CYC-YPMF motif that is specific to Pol IV and is positioned on the complex exterior. Furthermore, we found that this motif is essential for the co-purification of all four CLSYs with Pol IV, but that only one CLSY is present in any given Pol IV complex. These findings support a "one CLSY per Pol IV" model where the CYC-YPMF motif acts as a CLSY-docking site. Indeed, mutations in and around this motif phenocopy pol iv null mutants. Together, these findings provide structural and functional insights into a critical protein feature that distinguishes Pol IV from other RNA polymerases, allowing it to promote genome stability by targeting TEs for silencing.

molecular biology↗

bioRxiv2023

Liver Protects Cytoarchitecture, Neuron Viability and Electrocortical Activity in Post-Cardiac Arrest Brain Injury

BACKGROUNDBrain injury is the major reason for patient deaths in victims who survive after cardiac arrest. Clinical studies have shown that the presence of hypoxic hepatitis and pre-cardiac arrest liver disease is associated with increased mortality and inferior neurological recovery. However, how the liver might impact the pathogenesis of post-cardiac arrest is still unknown. METHODSAn in vivo global cerebral ischemia model was established to assess how simultaneous liver ischemia affected the recovery of brain ischemic injury. In addition, an ex vivo brain normothermic machine perfusion (NMP) model was established to evaluate how addition of a functioning liver might impact the circulation, cytoarchitecture, neuron viability and electrocortical activity of the reperfused brain post-cardiac arrest. RESULTSIn the in vivo model, we observed a larger infarct area in the frontal lobe, elevated tissue injury scores in the CA1 region, as well as increased intravascular immune cell adhesion in the reperfused brains with hepatic ischemia, compared to those without simultaneous hepatic ischemia. The results of the ex vivo model demonstrated that the addition of a functioning liver to the brain NMP circuit significantly reduced post-cardiac arrest brain injury, increased neuronal viability and improved electrocortical activity. Furthermore, we observed significant alterations in gene expressions and metabolites in the presence or absence of hepatic ischemia. CONCLUSIONSOur research highlights the crucial role of the liver in the pathogenesis of post-cardiac arrest brain injury. These findings shed lights on a cardio-pulmonary-hepatic brain resuscitation strategy for patients with cardiac arrest.

neuroscience↗

bioRxiv2023

Breakage fusion bridge cycles drive high oncogene copy number, but not intratumoral genetic heterogeneity or rapid cancer genome change

Oncogene amplification is a major driver of cancer pathogenesis. Breakage fusion bridge (BFB) cycles, like extrachromosomal DNA (ecDNA), can lead to high copy numbers of oncogenes, but their impact on intratumoral heterogeneity, treatment response, and patient survival are not well understood due to difficulty in detecting them by DNA sequencing. We describe a novel algorithm that detects and reconstructs BFB amplifications using optical genome maps (OGMs), called OM2BFB. OM2BFB showed high precision (>93%) and recall (92%) in detecting BFB amplifications in cancer cell lines, PDX models and primary tumors. OM-based comparisons demonstrated that short-read BFB detection using our AmpliconSuite (AS) toolkit also achieved high precision, albeit with reduced sensitivity. We detected 371 BFB events using whole genome sequences from 2,557 primary tumors and cancer lines. BFB amplifications were preferentially found in cervical, head and neck, lung, and esophageal cancers, but rarely in brain cancers. BFB amplified genes show lower variance of gene expression, with fewer options for regulatory rewiring relative to ecDNA amplified genes. BFB positive (BFB (+)) tumors showed reduced heterogeneity of amplicon structures, and delayed onset of resistance, relative to ecDNA(+) tumors. EcDNA and BFB amplifications represent contrasting mechanisms to increase the copy numbers of oncogene with markedly different characteristics that suggest different routes for intervention.

cancer biology↗

bioRxiv2023

Structural insights into specific recognition of PTENα/β-NTE by WDR5 in cancer progression

PTEN/{beta}, two variants of PTEN, play a key role in promoting tumor growth by interacting with WDR5 through their N-terminal extensions (NTEs). This interaction facilitates the recruitment of the SET1/MLL methyltransferase complex, resulting in histone H3K4 trimethylation and upregulation of oncogenes such as NOTCH3, which in turn promotes tumor growth. However, the molecular mechanism underlying this interaction has remained elusive. In this study, we determined the crystal structure of PTEN-NTE in complex with WDR5, which reveal that PTEN specifically binds to the WIN site of WDR5 through a novel binding motif specifically found in the NTE domain of PTEN/{beta}. Disruption of this interaction significantly impedes cell proliferation and tumor growth, highlighting the potential of the WIN site inhibitors of WDR5 as therapeutic agents for PTEN/{beta} associated cancers. These findings not only shed light on the important role of the PTEN/{beta}-WDR5 interaction in carcinogenesis, but also present a promising avenue for developing cancer treatments that target this pathway.

cancer biology↗

bioRxiv2023

A novel antagonist of the CCL5/CCR5 axis suppresses the tumor growth and metastasis of triple-negative breast cancer by CCR5-YAP1 regulation.

Triple-negative breast cancer (TNBC) is the most aggressive subtype of breast cancer (BC) with a high mortality rate, and few effective therapeutic strategies are available. CCL5/CCR5 is an appealing immunotherapeutic target for TNBC. However, its signaling mechanism is poorly understood and its direct antagonists have not been reported. Here, we developed a high-throughput screening (HTS) assay for discovering its antagonists. Verteporfin was identified as a more selective and potent antagonist than the known CCR5 antagonist maraviroc. Without photodynamic therapy, verteporfin demonstrated significant inhibition on TNBC tumor growth through immune regulation, remarkable suppression of lung metastasis by cell-intrinsic mechanism, and a significant extension of overall survival in vivo. Mechanistically, CCR5 was found to be essential for expression of the key hippo effector YAP1. It promoted YAP1 transcription via HIF-1 and exerted further control over the migration of CD8+ T, NK, and MDSC immune cells through chemokines CXCL16 and CXCL8 which were identified from RNA-seq. Moreover, the CCR5-YAP1 axis played a vital role in promoting metastasis by modulating {beta}-catenin and core epithelial-mesenchymal transition transcription factors ZEB1 and ZEB2. It is noteworthy that the regulatory relationship between CCR5 and YAP1 was observed across various BC subtypes, TNBC patients, and showed potential relevance in fifteen additional cancer types. Overall, this study introduced an easy-to-use HTS assay that streamlines the discovery of CCL5/CCR5 axis antagonists. Verteporfin was identified as a specific molecular probe of this axis with great potentials as a therapeutic agent for treating sixteen malignant diseases characterized by heightened CCR5 and YAP1 levels.

cancer biology↗

bioRxiv2023

OPUS-Rota5: A Highly Accurate Protein Side-chain Modeling Method with 3D-Unet and RotaFormer

Accurate protein side-chain modeling is crucial for protein folding and design. This is particularly true for molecular docking as ligands primarily interact with side chains. A protein structure with large errors in side chains has limited usage such as in drug design. Previous research on AlphaFold2 (AF2) predictions of GPCR targets indicates that the docking of natural ligands back on AF2-predicted structures has limited successful rate presumably due to large errors in side chains. Here, we introduce a two-stage side-chain modeling approach called OPUS-Rota5. It leverages a modified 3D-Unet to capture the local environmental features including ligand information of each residue, and then employs RotaFormer module to aggregate various types of feature. Evaluation on three test sets, including recently released targets from CAMEO and CASP15, reveals that side chains modeled by OPUS-Rota5 are significantly more accurate than those predicted by other methods. We also employ OPUS-Rota5 to refine the side chains of 25 GPCR targets predicted by AF2 and then performed docking of their natural ligands back with a significantly improved successful rate. Such results suggest that OPUS-Rota5 could be a valuable tool for molecular docking, particularly for targets with relatively accurate predicted backbones, but not side chains.

bioinformatics↗

bioRxiv2023

Detecting time-varying genetic effects in Alzheimer's disease using a longitudinal GWAS model

BackgroundThe development and progression of Alzheimers disease (AD) is a complex process that can change over time, during which genetic influences on phenotypes may also fluctuate. Incorporating longitudinal phenotypes in genome wide association studies (GWAS) could help unmask genetic loci with time-varying effects. In this study, we incorporated a varying coefficient test in a longitudinal GWAS model to identify single nucleotide polymorphisms (SNPs) that may have time- or age-dependent effects in AD. MethodsGenotype data from 1,877 participants in the Alzheimers Neuroimaging Data Initiative (ADNI) were imputed using the Haplotype Reference Consortium (HRC) panel, resulting in 9,573,130 SNPs. Subjects longitudinal impairment status at each visit was considered as a binary and clinical phenotype. Participants composite standardized uptake value ratio (SUVR) derived from each longitudinal amyloid PET scan was considered as a continuous and biological phenotype. The retrospective varying coefficient mixed model association test (RVMMAT) was used in longitudinal GWAS to detect time-varying genetic effects on the impairment status and SUVR measures. Post-hoc analyses were performed on genome-wide significant SNPs, including 1) pathway analyses; 2) age-stratified genotypic comparisons and regression analyses; and 3) replication analyses using data from the National Alzheimers Coordinating Center (NACC). ResultsOur model identified 244 genome-wide significant SNPs that revealed time-varying genetic effects on the clinical impairment status in AD; among which, 12 SNPs on chromosome 19 were successfully replicated using data from NACC. Post-hoc age-stratified analyses indicated that for most of these 244 SNPs, the maximum genotypic effect on impairment status occurred between 70 to 80 years old, and then declined with age. Our model further identified 73 genome-wide significant SNPs associated with the temporal variation of amyloid accumulation. For these SNPs, an increasing genotypic effect on PET-SUVR was observed as participants age increased. Functional pathway analyses on significant SNPs for both phenotypes highlighted the involvement and disruption of immune responses- and neuroinflammation-related pathways in AD. ConclusionWe demonstrate that longitudinal GWAS models with time-varying coefficients can boost the statistical power in AD-GWAS. In addition, our analyses uncovered potential time-varying genetic variants on repeated measurements of clinical and biological phenotypes in AD.

neuroscience↗

bioRxiv2023

A hybrid machine learning and regression method for cell type deconvolution of spatial barcoding-based transcriptomic data

Spatial barcoding-based transcriptomic (ST) data require cell type deconvolution for cellular-level downstream analysis. Here we present SDePER, a hybrid machine learning and regression method, to deconvolve ST data using reference single-cell RNA sequencing (scRNA-seq) data. SDePER uses a machine learning approach to remove the systematic difference between ST and scRNA-seq data (platform effects) explicitly and efficiently to ensure the linear relationship between ST data and cell type-specific expression profile. It also considers sparsity of cell types per capture spot and across-spots spatial correlation in cell type compositions. Based on the estimated cell type proportions, SDePER imputes cell type compositions and gene expression at unmeasured locations in a tissue map with enhanced resolution. Applications to coarse-grained simulated data and four real datasets showed that SDePER achieved more accurate and robust results than existing methods, suggesting the importance of considering platform effects, sparsity and spatial correlation in cell type deconvolution.

bioinformatics↗

bioRxiv2023

Lymphotoxin-β Promotes Bone Colonization and Osteolytic Outgrowth of Indolent Bone Metastatic cells of Breast Cancer

Bone metastatic relapse is a lethal consequence of breast cancer, occurring years after initial diagnosis. By analyzing single-cell transcriptomes of bone-seeding tumor cells and in vivo barcoded cDNA library screening, LT{beta} (lymphotoxin-{beta}) is identified as a key factor highly expressed in early-stage bone metastatic cells, associated with poor bone metastasis-free survival, and capable of promoting dormancy reactivation in multiple breast cancer models. Mechanistically, tumor-derived LT{beta} activates NF-{kappa}B2 signaling in osteoblasts to express CCL2/5, facilitating tumor cell seeding and accelerating osteoclastogenesis. Both processes contribute to the reactivation of dormancy and metastatic outgrowth. Blocking LT{beta} signaling with a decoy receptor significantly suppressed bone colonization and metastatic progression, whereas clinical sample analysis revealed significantly higher LT{beta} expression in bone metastases than in primary tumors. Our findings highlight LT{beta} as a bone niche-induced factor that promotes tumor cell seeding and dormancy reactivation, underscoring its potential as a therapeutic target for preventing bone metastatic relapse in patients with breast cancer.

cell biology↗

bioRxiv2023

Detection of interactions between genetic marker sets and environment in a genome-wide study of hypertension

As human complex diseases are influenced by the interplay of genes and environment, detecting gene-environment interactions (G x E) can shed light on biological mechanisms of diseases and play an important role in disease risk prediction. Development of powerful quantitative tools to incorporate G x E in complex diseases has potential to facilitate the accurate curation and analysis of large genetic epidemiological studies. However, most of existing methods that interrogate G x E focus on the interaction effects of an environmental factor and genetic variants, exclusively for common or rare variants. In this study, we proposed two tests, MAGEIT_RAN and MAGEIT_FIX, to detect interaction effects of an environmental factor and a set of genetic markers containing both rare and common variants, based on the MinQue for Summary statistics. The genetic main effects in MAGEIT_RAN and MAGEIT_FIX are modeled as random or fixed, respectively. Through simulation studies, we illustrated that both tests had type I error under control and MAGEIT_RAN was overall the most powerful test. We applied MAGEIT to a genome-wide analysis of gene-alcohol interactions on hypertension in the Multi-Ethnic Study of Atherosclerosis. We detected two genes, CCNDBP1 and EPB42, that interact with alcohol usage to influence blood pressure. Pathway analysis identified sixteen significant pathways related to signal transduction and development that were associated with hypertension, and several of them were reported to have an interactive effect with alcohol intake. Our results demonstrated that MAGEIT can detect biologically relevant genes that interact with environmental factors to influence complex traits.

genetics↗

bioRxiv2023

Use of Artificial Intelligence for Automated Detection and Surveillance of Red Imported Fire Ants Nests

The red imported fire ant, Solenopsis invicta Buren is a destructive invasive species that has spread around the world. Early detection of S. invicta nests is critical for effective monitoring and control in invaded regions. This study presents a novel surveillance system for S. invicta nests combining artificial intelligence and robotic dogs. The system was designed with intelligent recognition algorithms to accurately identify S. invicta nests. With a precision rate of 95%, the system yielded efficient detection of S. invicta nests with increased sensitivity and low missing and false discovery rates, which can aid or even replace humans in locating and delivering pesticides to fire ant nests in open fields to effective control of this invasive pest.

ecology↗

bioRxiv2023

Rice OsHAK18 mediates shoot-to-root circulation of potassium and sodium and source-to-sink transport of soluble sugar

High-affinity potassium (K+) transporters HAK/KUP/KT have been identified in all genome-sequenced terrestrial plants. They play important role in K+ acquisition, translocation and enhancing salt tolerance. Here we report that the plasma-membrane-located OsHAK18 functions in K+ and sodium (Na+) circulation and sugar translocation in rice. OsHAK18 is expressed mainly, though not exclusively, in vascular tissues and particularly in the phloem. Knockout (KO) of OsHAK18 reduced K+ concentration in phloem sap and in the root but increased K+ accumulation in the shoot of both Nipponbare and Zhonghua11 cultivars, while overexpression (OX) of OsHAK18 driven by its endogenous promoter increased K+ concentration in phloem sap and in roots, and promoted Na+ retrieval from shoot to root under salt stress. Split-root experimental analysis of rubidium (Rb+) uptake and circulation indicated that OsHAK18-OX promoted Rb+ translocation from shoot to root. In addition, OsHAK18-KO increased while OsHAK18-OX reduced soluble sugar content in the shoot and affected oppositely the sugar concentration in the phloem and its content in the root. Moreover, OsHAK18-OX increased dramatically grain yield and physiological K+ utilization efficiency. Taken together, our results suggest that - unlike other OsHAKs analyzed heretofore - OsHAK18 is critical to K+ and Na+ re-circulation from shoot to root and enhances the source-to-sink translocation of a photo-assimilate. One sentence summaryRice potassium transporter OsHAK18 mediates shoot-to-root circulation of potassium and sodium and source-to-sink translocation of soluble sugar which improves potassium use efficiency and grain yield.

plant biology↗

bioRxiv2023

DNA 5-methylcytosine regulates genome-wide formation of G-quadruplex structures

G-quadruplex structures (G4s) have been identified in genomes of multiple organisms and proven to play important epigenetic regulatory roles in various cellular functions. However, the G4 formation mechanism remains largely unknown. Here, we found a negative correlation between DNA 5mC methylation and G4 abundance. The abundance of genomic G4s significantly increased when the whole-genome methylation level was reduced in DNMT1-knockout cells. This increase was then suppressed by DNMT1 over-expression. And more G4s were detected in the hypomethylated cancer cell line HepG2 and rectal cancer tissues. Besides, 5mC modification significantly inhibited G4 formation of the potential G-quadruplex sequences (PQSs). The transcription of genes with 5mC modification sites in their promoter PQSs was affected after treatment with G4 stabilizer pyridostatin or methylation inhibitor 5-aza-dC. The global reduction of genomic methylation elevates gene transcription levels through increased G4s. Taken together, DNA 5mC methylation prevents PQSs from folding into G4s in genomes.

molecular biology↗

bioRxiv2022

STING-dependent cytosolic DNA sensing pathway drives the progression to leukemia in TET2-mutated HSPCs

Somatic loss-of-function mutations of the dioxygenase Ten-eleven translocation-2 (TET2) occur frequently in individuals with clonal hematopoiesis (CH) and acute myeloid leukemia (AML). These common hematopoietic disorders can be recapitulated in mouse models. However, the underlying mechanisms by which the deficiency in TET2 promotes these disorders remain largely unknown. Here we show that the cyclic guanosine monophosphate-adenosine monophosphate synthase (cGAS)-stimulator of interferon genes (STING) pathway is activated to mediate the effect of TET2 deficiency in leukemogenesis in mouse models. DNA damage arising in Tet2-deficient hematopoietic stem/progenitor cells (HSPCs) leads to activation of the cGAS-STING pathway which in turn induces the development of CH and myeloid transformation. Notably, both pharmacological inhibition and genetic deletion of STING suppresses Tet2 mutation-induced aberrant myelopoiesis. In patient-derived xenograft (PDX) models, STING inhibition specifically attenuates the proliferation of leukemia cells from TET2-mutated individuals. These observations suggest that the hematopoietic transformation associated with TET2 mutations is powered through sterile inflammation dependent on the activated cGAS-STING pathway, and that STING may represent a potential target for intervention of relevant hematopoietic malignancies. Key pointsO_LITet2 deficiency leads to DNA damage which in turn activates the cGAS-STING pathway to induce an inflammatory response C_LIO_LIBlocking STING in TET2-mutated hematopoietic stem/progenitor cells suppresses clonal hematopoiesis in mice and leukemogenesis in patient-derived xenograft models C_LI

cancer biology↗

bioRxiv2022

Genetic Variants of Phospholipase C-γ 2 Confer Altered Microglial Phenotypes and Differential Risk for Alzheimers Disease

Genetic association studies have demonstrated the critical involvement of the microglial immune response in Alzheimers disease (AD) pathogenesis. Phospholipase C-gamma-2 (PLCG2) is selectively expressed by microglia and acts in many immune receptor signaling pathways. In AD, PLCG2 is induced uniquely in plaque-associated microglia. A genetic variant of PLCG2, PLCG2P522R, is a mild hypermorph that attenuates AD risk. We report the identification of a PLCG2 variant, PLCG2M28L, associated with loss-of-function and confers increased AD risk. PLCG2P522R attenuates disease in an amyloidogenic murine AD model, whereas PLCG2M28L exacerbates the plaque burden associated with altered phagocytosis and A{beta} clearance. The variants bidirectionally modulate disease pathology by inducing distinct transcriptional programs that identify microglial subpopulations associated with protective or detrimental phenotypes. In summary, these findings identify PLCG2M28L as a new AD risk variant and demonstrate that PLCG2 variants can differentially orchestrate microglial responses in AD pathogenesis that can be therapeutically targeted. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=122 SRC="FIGDIR/small/519685v1_ufig1.gif" ALT="Figure 1"> View larger version (48K): org.highwire.dtl.DTLVardef@19f0aa6org.highwire.dtl.DTLVardef@74191eorg.highwire.dtl.DTLVardef@1d3a3forg.highwire.dtl.DTLVardef@db2a44_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIA genetic variant of PLCG2, M28L, is associated with an increased risk for Alzheimers disease (AD) C_LIO_LIIn an amyloidogenic AD mouse model, PLCG2M28L exacerbates disease pathogenesis C_LIO_LIConversely, PLCG2P522R, a protective PLCG2 variant, attenuates AD pathogenesis C_LIO_LIThe PLCG2 variants uniquely alter the microglial transcriptome and phenotypes C_LI

neuroscience↗