Biology subjects

Wu, G.

Publications and source records attributed to Wu, G..

At least 109 records · Page 6Linked to original sources

bioRxiv2022

Single-cell transcriptomics reveals a mechanosensitive injury signaling pathway in early diabetic nephropathy

Diabetic nephropathy (DN) is the leading cause of end-stage renal disease and histopathologic glomerular lesions are among the earliest structural alterations of DN. However, the signaling pathways that initiate these glomerular alterations are incompletely understood. To delineate the cellular and molecular basis for DN initiation, we performed single-cell and bulk RNA sequencing of renal cells from type 2 diabetes mice (BTBR ob/ob) at the early stage of DN. Analysis of differentially expressed genes revealed glucose-independent responses in glomerular cell types. The gene regulatory network upstream of glomerular cell programs suggested the activation of mechanosensitive transcriptional pathway MRTF-SRF predominantly taking place in mesangial cells. Importantly, activation of MRTF-SRF transcriptional pathway was also identified in DN glomeruli in independent patient cohort datasets. Furthermore, ex vivo kidney perfusion suggested that the regulation of MRTF-SRF is a common mechanism in response to glomerular hyperfiltration. Overall, our study presents a comprehensive single-cell transcriptomic landscape of early DN, highlighting mechanosensitive signaling pathways as novel targets of diabetic glomerulopathy.

molecular biology↗

bioRxiv2022

A bioinformatics approach to systematically analyze the molecular patterns of monkeypox virus-host cell interactions

Monkeypox has been spreading worldwide since May 2022, when the World Health Organization (WHO) declared the outbreak of a "Public health emergency of international concern". The spread of monkeypox has posed a serious threat to the health of people all over the world but few studies have been carried out on it, and the molecular mechanism of monkeypox after infection remains unclear. We therefore implemented a transcriptome analysis to identify signaling pathways and biomarkers in monkeypox-infected cells to help understand monkeypox-host cell interactions. In this study, the dataset GSE36854 and GSE11234 were obtained from GEO. Among them, 84 significantly different genes were identified in the dataset GSE36854, followed by KEGG, GO analysis protein-protein interaction (PPI) construction and Hub gene extraction. We also analyzed the expression regulation patterns of hub genes and screened the drugs targeting the hub genes. The results showed that monkeypox-infected cells significantly activated the cellular immune response, and induced inflammatory response. IER3, IFIT2, IL11, ZC3H12A, EREG, IER2, NFKBIE, FST, IFIT1 and AREG were the top 10 hub genes, in which anti-viral gene IFIT1 and IFIT2 were significantly suppressed. AP-26113 and itraconazole promoting the expression of IFIT1 and IFIT2 may be used as new candidates for the treatment of monkeypox viral infection. Our results provide a new entry point for understanding the mode of interaction between monkeypox virus and its host.

microbiology↗

bioRxiv2022

Dual states of Bmi1-expressing intestinal stem cells drive epithelial development and tissue regeneration

Intestinal development, response to injury and disease states rely upon balanced stem cell proliferation. Historically, two subtypes of intestinal epithelial stem cells (ISCs)--slow-cycling/label-retaining, and actively-cycling/canonical Wnt-dependent--coordinate to drive proliferation and regulate epithelial renewal during adult tissue homeostasis and injury response. Recent studies focused on Bmi1-expressing cells revealed that differentiated Bmi1+ enteroendocrine cells could dedifferentiate towards a canonical Wnt-dependent stem cell state, calling into question the dogma that a dual stem cell axis regulates epithelial proliferation. Herein, we identify stem cell function in a Bmi1+ cell population in early murine intestinal development prior to the establishment of canonical Wnt-dependent, Lgr5-expressing ISCs. In-depth analyses of developmental Bmi1+ ISCs using lineage-tracing and single cell RNA-sequencing reveal their distinct identity and capacity to differentiate into Lgr5+ ISCs and other differentiated lineages. Further, during in utero development, the Bmi1+ ISCs initially exists in a highly proliferative state then transitions to a slow-cycling state, with the emergence of actively-cycling Lgr5+ ISCs. In adult tissue, Bmi1+ ISCs are a distinct population that re-express developmental gene and protein profiles, and a non-canonical Wnt signaling signature in response to injury and in human colorectal tumors. Further, developmental Bmi1+ ISCs are distinct from Lgr5+ ISCs and the previously identified differentiated Bmi1+ progenitor cells. Re-evaluation of an under-appreciated Bmi1+ ISC population with fundamental importance in intestinal development re-establishes the importance of the dynamic interplay between discrete ISC populations that are regulated by opposing Wnt signaling pathways. This finding opens opportunities and targetable pathways to augment regeneration or inhibit tumorigenesis.

developmental biology↗

bioRxiv2022

Enhancing Sox/Oct cooperativity induces higher-grade developmental reset

The discovery of induced pluripotent stem cell (iPSC) technology by Shinya Yamanaka has truly enabled the stem cell field. After 16 years of intense research, the delivery methods and culture media have improved but the original factors--Oct4, Sox2, Klf4, and Myc (OSKM)--remain central for driving reprogramming. Here we define structural elements in chimeric Sox2/Sox17 transcription factors that rescued the ability of nonfunctional Oct factors to induce pluripotency. Most importantly, we discovered a single amino acid swap in the DNA-binding domain of Sox2, A61V, that stabilizes the Sox/Oct heterodimer on DNA through hydrophobic interaction with Oct. The highly cooperative Sox2AV mutant enables iPSC generation with Oct4 orthologs, such as Oct2 and Oct6, as well as rescues otherwise detrimental Oct4 mutants and domain deletions. Sox2AV has a dramatic effect on the cell fate reset, significantly improving the developmental potential of OSKM iPSCs. Moreover, by swapping multiple beneficial elements of Sox17 into Sox2 we have built a chimeric super-SOX factor--Sox2-17--that delivers unprecedented reprogramming efficiency and kinetics in five tested species. Sox2-17 enhances five-, four-, and three-factor reprogramming up to hundreds of times, enables two-factor generation of human iPSCs, and allows integration-free reprogramming of otherwise non-permissive aged human, non-human primate, and cattle fibroblasts. Our study demonstrates that a complete developmental reset requires both robust activation of regulatory elements controlled by the canonical SoxOct motif and limiting cellular proliferation driven by Oct4 and Myc. A high level of Sox2 expression and Sox2/Oct4 heterodimerization emerge as the key determinants of high-grade pluripotency that fades along the naive-to-primed continuum. Transient expression of SK cocktail can restore the naivety, providing a powerful technology to induce more complete developmental reset in pluripotent cells across species.

developmental biology↗

bioRxiv2022

Guild-level microbiome signature associated with COVID-19 severity and prognosis

COVID-19 severity has been associated with alterations of the gut microbiota. However, the relationship between gut microbiome alterations and COVID-19 prognosis remains elusive. Here, we performed a genome-resolved metagenomic analysis on fecal samples collected from 300 in-hospital COVID-19 patients at time of admission. Among the 2,568 high quality metagenome-assembled genomes (HQMAGs), Redundancy Analysis identified 33 HQMAGs which showed differential distribution among mild, moderate, and severe/critical severity groups. Random Forest model based on these 33 HQMAGs classified patients from different severity groups (average AUC = 0.79). Co-abundance network analysis found that the 33 HQMAGs were organized as two competing guilds. Guild 1 harbored more genes for short-chain fatty acid biosynthesis, and fewer genes for virulence and antibiotic resistance, compared with Guild 2. Random Forest regression showed that these 33 HQMAGs at admission had the capacity to predict 8 clinical parameters, which are predictors for COVID-19 prognosis, at Day 7 in hospital. Moreover, the dominance of Guild 1 over Guild 2 at admission predicted the death/discharge outcome of the critical patients (AUC = 0.92). Random Forest models based on these 33 HQMAGs classified patients with different COVID-19 symptom severity, and differentiated COVID-19 patients from healthy subjects, non-COVID-19, and pneumonia controls in three independent datasets. Thus, this genome-based guild-level signature may facilitate early identification of hospitalized COVID-19 patients with high risk of more severe outcomes at time of admission.

microbiology↗

bioRxiv2022

Productive and latent HIV infections originate in resting CD4+ T cells

Productively and latently HIV-infected cells are the source of virus that respectively establishes and sustains systemic infections and the reservoir in which HIV persists and rebounds when anti-retroviral therapy (ART) is interrupted. While infected activated CD4+ T cells are thought to be the principal source of HIV production, and reversion of activated infected cells to a resting state as the major pathway to establishment of the latently infected cell reservoir, we now show that in the earliest stages of detectable HIV infection in the lymphoid tissue reservoir, infection of resting CD4+ T cells establishes the first populations of both productively and latently infected cells. We further show that the early infection of resting T cells reflects their predominance in lymphoid tissues and the expression of pTEFb in vivo in resting T cells to support their infection. The immediate establishment of productively and latently infected cell populations enable HIV to propagate and persist, and generates reservoirs from which infection can rebound despite instituting ART at the earliest stage of detectable infection.

immunology↗

bioRxiv2022

Development and validation of PainFace, a software platform that simplifies and standardizes mouse grimace analyses

Facial grimaces are now commonly used to quantify spontaneous pain in mice and other mammalian species, but scoring remains subjective and relies on humans with very different levels of proficiency. Here, we developed a Mouse Grimace Scale (MGS) for black-coated (C57BL/6) mice consisting of four facial action units (orbitals, nose, ears, whiskers). We used this scale to generate ground truth data from over 70,000 images of black mice in different settings. With this large data set, we developed a deep neural network and cloud-based software platform called PainFace (http://painface.net) that accurately scores facial grimaces of black mice on a 0-8 scale. PainFace generates over two orders of magnitude more MGS data than humans can realistically achieve, and at superhuman speed. By analyzing the frequency distribution of grimace scores, we found that mice spent >7x more time in a high grimace state following laparotomy surgery relative to sham surgery controls. The analgesic carprofen reduced the amount of time animals spent in this high grimace state after surgery. Specific facial action unit score combinations were overrepresented following laparotomy surgery, suggesting that characteristic facial expressions are associated with a high grimace state. We performed validation experiments in two labs located in different countries to demonstrate reproducibility of the PainFace platform. To further enhance rigor and reproducibility, we will invite pain researchers to beta test PainFace and then incorporate their feedback into the software and manuscript prior to peer review. While this study is focused on mice, PainFace was designed to simplify, standardize, and scale up grimace analyses with many other mammalian species, including humans.

neuroscience↗

bioRxiv2022

Phosphorylation and ubiquitination independent endocytosis of BRI1

The brassinosteroid (BR) hormone and its plasma membrane receptor BR INSENSITIVE1 (BRI1) is one of the best-studied receptor-ligand pairs for understanding the interplay between receptor endocytosis and signaling in plants. BR signaling is mainly determined by the plasma membrane pool of BRI1, whereas BRI1 endocytosis ensures signal attenuation. Since BRs are ubiquitously distributed in the plant, the tools available to study BRI1 function without interference from endogenous BRs are limited. Here, we designed a BR-binding-deficient mutant based on protein sequence-structure analysis and homology modeling of BRI1 and its close homologues. This new tool allowed us to re-examine the BRI1 endocytosis and signal attenuation model. We show that despite decreased phosphorylation and ubiquitination, the BR-binding-deficient BRI1 was internalized similar to the wild type form. These results reinforce the hypothesis that BRI1 is internalized via parallel endocytic routes and machineries. In addition, BR-binding-deficient mutant provides opportunities to study non-canonical ligand-independent BRI1 functions.

plant biology↗

bioRxiv2022

MrgprA3-expressing pruriceptors drive pruritogen-induced alloknesis through mechanosensitive Piezo2 channel

Although touch and itch are coded by distinct neuronal populations, light touch also provokes itch in the presence of exogenous pruritogens, resulting in a phenomenon called alloknesis. However, the cellular and molecular mechanisms underlying the initiation of pruritogen-induced mechanical itch sensitization are poorly understood. Here we show that intradermal injections of histamine or chloroquine (CQ) provoke alloknesis through activation of TRPV1- and MrgprA3- expressing prurioceptors, and functional ablation of these neurons reverses pruritogen-induced alloknesis. Moreover, genetic ablation of mechanosensitive Piezo2 channel function from MrgprA3-expressing prurioceptors also dampens pruritogen-induced alloknesis. Mechanistically, histamine and CQ sensitize Piezo2 channel function through activation of the PLC-PKC{delta} signaling. Collectively, our data uncovered a TRPV1+/MrgprA3+ prurioceptor-Piezo2 signaling axis in the initiation of pruritogen-induced mechanical itch sensitization in the skin.

neuroscience↗

bioRxiv2022

Detecting sources of immune activation and viral rebound in HIV infection

Antiretroviral therapy (ART) generally suppresses HIV replication to undetectable levels in peripheral blood, but immune activation associated with increased morbidity and mortality is sustained during ART, and infection rebounds when treatment is interrupted. To identify drivers of immune activation and potential sources of viral rebound, we modified RNAscope in situ hybridization to visualize HIV-virus producing cells as a standard to compare the following assays of potential sources of immune activation and virus rebound following treatment interruption: 1) EDITS (envelope detection by induced transcription-based sequencing) assay; 2) HIV-Flow; and 3) Flow-FISH assays that can scan tissues and cell suspensions to detect rare cells expressing env mRNA, gag mRNA/Gag protein and p24 respectively; and 4) an ultrasensitive immunoassay that detects p24 in cell/tissue lysates at subfemtomolar levels. We show that the sensitivity of these assays is sufficient to detect a rare HIV-producing/env mRNA+/p24+ cell in a million uninfected cells. These high-throughput technologies thus provide contemporary tools to detect and characterize rare cells producing virus and viral antigens as potential sources of immune activation and viral rebound. ImportanceAnti-retroviral therapy (ART) has greatly improved the quality and length of life for people living with HIV, but immune activation does not normalize during ART, and persistent immune activation has been linked to increased morbidity and mortality. We report a comparison of assays of two potential sources of immune activation during ART: rare cells producing HIV virus or the virus major viral protein, p24, benchmarked on a cell model of active and latent infections and a method to visualize HIV-producing cells. We show that assays of HIV Envelope mRNA (EDITS assay) and gag mRNA and p24 (Flow-FISH, HIV-Flow and ultrasensitive p24 immunoassay) detect HIV-producing cells and p24 at sensitivities of one infected cell in a million uninfected cells, thus providing validated tools to explore sources of immune activation during ART in the lymphoid and other tissue reservoirs.

immunology↗

bioRxiv2022

Pathobionts from chemically disrupted gut microbiota induce insulin-dependent diabetes in mice

BackgroundDysbiotic gut microbiome, genetically predisposed or chemically disrupted, has been linked with insulin-dependent diabetes (IDD) including autoimmune type 1 diabetes (T1D) in both humans and animal models. However, specific IDD-inducing gut bacteria remain to be identified and their casual role in disease development demonstrated via experiments that can fulfill Kochs postulates. ResultsHere, we show that novel gut pathobionts in the Muribaculaceae family, enriched by a low-dose dextran sulfate sodium (DSS) treatment, translocated to the pancreas and caused local inflammation, beta cell destruction and IDD in C57BL/6 mice. Antibiotic removal and transplantation of gut microbiota showed that this low DSS disrupted gut microbiota was both necessary and sufficient to induce IDD. Reduced butyrate content in the gut and decreased gene expression levels of an antimicrobial peptide in the pancreas allowed for the enrichment of members in the Muribaculaceae family in the gut and their translocation to the pancreas. Pure isolate of one such members induced IDD in wildtype germ-free mice on normal diet either alone or in combination with normal gut microbiome after gavaged into stomach and translocated to pancreas. ConclusionThe pathobionts that are chemically enriched in dysbiotic gut microbiota are sufficient to induce insulin-dependent diabetes after translocation to the pancreas. This indicates that IDD can be mainly a microbiome-dependent disease, inspiring the need to search for novel pathobionts for IDD development in humans.

microbiology↗

bioRxiv2022

scDeepC3: scRNA-seq Deep Clustering by A Skip AutoEncoder Network with Clustering Consistency

Single-cell RNA sequencing (scRNA-seq) reveals the heterogeneity and diversity among individual cells and allows researchers conduct cell-wise analysis. Clustering analysis is a fundamental step in analyzing scRNA-seq data which is needed in many downstream tasks. Recently, some deep clustering based methods exhibit very good performance by combining the AutoEncoder reconstruction-based pre-training and the fine-tune clustering. Their common idea is to cluster the samples by the learned features from the bottleneck layer of the pre-trained model. However, these reconstruction-based pre-training cannot guarantee that the learned features are beneficial to the clustering. To alleviate these issues, we propose an improved scRNA-seq Deep Clustering method by a skip AutoEncoder network with Clustering Consistency (i.e., named scDeepC3) from two aspects, an efficient network structure and a stable loss function. In particular, we introduce an adaptive shortcut connection layer to directly add the shallow-layer (encoder) features to deep-layer (decoder). This will increase the flow of forward information and back-forward gradients, and make the network training more stable. Considering the complementarity between the features of different layers, which can be seen as different views of the original samples, we introduce a clustering consistency loss to make the clustering results of different views consistent. Experimental results demonstrate that our proposed scDeepC3 achieves better performance than state-of-the-arts and the detailed ablation studies are conducted to help us understand how these parts make sense.

bioinformatics↗

bioRxiv2022

Saturated cell lysing is critical for high sensitivity microbiome analysis

Introductory paragraphFor robust DNA-based gut microbiome analysis, all cells in the stool samples need to be lysed. However, no standards have been developed to evaluate a DNA extraction protocols capability of lysing all cells and its sensitivity on detecting microbial structural differences among samples. In this study, we incrementally increased the intensity of mechanical lysis and integrated lysozyme pretreatment to Protocol Q (PQ), which was recommended as the best from 21 protocols1. A new protocol (LPQ) was optimized when DNA yield, Gram-positive bacteria ratio, and beta diversity all reached to a plateau with no further significant changes, indicating the achievement of saturated lysing. LPQ detected significant differences among three groups of fiber-treated human stool samples and identified 64 responsive ASVs, while a commercial kit failed to detect any significant treatment effects and PQ only detected 17 responsive ASVs. Therefore, saturated lysing as defined in this study should be adopted for evaluating microbiome DNA extraction protocols.

microbiology↗

bioRxiv2022

An in silico genome-wide screen for circadian clock strength in human samples

Years of time-series gene expression studies have built a strong understanding of clock-controlled pathways across species. However, comparatively little is known about how non-clock pathways influence clock function. We developed a new computational approach to explore candidate pathways coupled to the clock in human tissues. This method, termed LTM, is an in silico screen to infer genetic influences on circadian clock function. LTM uses natural variation in gene expression in human data and directly links gene expression variation to clock strength independent of longitudinal data. We applied LTM to three human skin and one melanoma datasets and found that the cell cycle is the top candidate clock-coupled pathway in healthy skin. In addition, we applied LTM to thousands of tumor samples from 11 cancer types in the TCGA database and found that extracellular matrix organization-related pathways are tightly associated with the clock strength in humans. Further analysis shows that clock strength in tumor samples are correlated with the proportion of cancer-associated fibroblasts and endothelial cells. Therefore, we show both the power of LTM in predicting clock-coupled pathways and classify factors associated with clock strength in human tissues. LTM is available on GitHub to facilitate its use.

bioinformatics↗

bioRxiv2022

Genome Mining and Biochemical Characterization of a Bifunctional Type I Diterpene Synthase from a Marine-Derived Fungus

We report the identification of the tnd biosynthetic cluster from the marine-derived fungal strain Aspergillus flavipes CNL-338 and in vivo characterization of a cryptic type I diterpene synthase. Heterologous expression of the bifunctional terpene synthase TndC in Saccharomyces cerevisiae led to the discovery of a new diterpene backbone, talarodiene, harboring a benzo[a]cyclopenta[d]cyclooctane tricyclic fused ring system. The cyclization mechanism that converts geranylgeranyl diphosphate to the tricyclic hydrocarbon skeleton was investigated using 13C-labeling studies and stable isotope tracer experiments showed the biotransformation of talarodiene into talaronoid C.

bioengineering↗

bioRxiv2022

Two Competing Guilds as a Core Microbiome Signature for Chronic Diseases

Summary ParagraphOver eons of co-evolution, the gut microbiota has become an essential organ for humans1,2. However, it is unclear what core members and their ecological organization ensures the stable provision of this organs essential health-relevant functions to the host. With high quality metagenome-assembled genomes as network nodes, here we identified two competing guilds3 of the most stably and highly connected bacteria that together correlate with a wide range of host health conditions. Genomes in these two guilds kept their ecological relationship unchanged despite experiencing profound abundance changes during a 3-month high fiber intervention and 1-year follow-up in patients with type 2 diabetes (T2DM). The genomes of one guild harbored more genes for plant polysaccharide degradation and butyrate production, while the other guild had more genes for virulence or antibiotic resistance. A Random Forest regression model showed that the abundance distributions of these genomes were associated with 41 out of 43 bio-clinical parameters in the study cohort. With these genomes as reference, Random Forest modeling successfully classified case and control of T2DM, atherosclerotic cardiovascular disease, liver cirrhosis, inflammatory bowel diseases, colorectal cancer, ankylosing spondylitis, schizophrenia, and Parkinsons disease in 12 independent metagenomic datasets from 1,816 participants across ethnicity and geography. This core microbiome signature may serve as a common target for health recovery.

microbiology↗

bioRxiv2022

Metformin decreases Cyp26a1 to prevent hepatocarcinogenesis through down- regulating CD8+ T cells

Hepatocellular carcinoma (HCC) is a highly heterogeneous cancer, which limits the selectivity of prevention and treatment. Preclinical and clinical studies suggested that in patients with diabetes, prolonged use of metformin, the AMPK activator, was associated with a reduction of HCC incidence. This association promotes us to investigate the possible functions and mechanisms of metformin in HCC without diabetes backgrounds. Here, we found that several unique pathways that changed during chronic liver injury of Fah-/- mice, including glucose metabolic process and retinol metabolism. Further, metformin suppressed the tumor formation in chronic liver injury of Fah-/- mice. RNA sequencing, in vivo and in vitro experiments showed that metformin suppressed Cyp26a1 gene expression of hepatocyte. Moreover, the down-regulation of Cyp26a1 leads to the increased level of all-trans-retinoic acid (atRA), which could suppress the tumor formation in our model. On the other hand, flow multicolor analysis showed that the cell number and proportion of cancer promoting (pro-tumor) CD8+ T cells increased significantly during chronic liver injury in Fah-/- mice, and both metformin and atRA treatment could reduce the number and proportion of pro-tumor CD8+ T cells. We also found metformin decreased the Cyp26a1 expression through the AMPK/JNK/c-Jun pathway. In short, the association between the metformin and atRA may explain the commonness of their anti-tumor activities. Our findings highlight the importance of targeting the precancerous microenvironment for the prognosis, prevention and treatment of HCC.

cancer biology↗

bioRxiv2022

Gut microbiota-derived tryptamine impairs insulin sensitivity

Gut-microbiota plays a pivotal role in development of type 2 diabetes (T2D), yet the molecular mechanism remains elusive. Here, we show that tryptamine, a microbial metabolite of tryptophan, impairs glucose tolerance and insulin sensitivity. Tryptamine presents a higher level in monkeys with spontaneous diabetes and human with T2D and positively correlated with the glucose tolerance. In parallel, tryptamine level was suppressed by dietary fibers intervention in T2D subjects and negatively correlated with improvement of glucose tolerance. The inhibitory effect of tryptamine on insulin signaling as shown was dependent on a trace amine-associated receptor 1 (TAAR1)-extracellular signal-regulated kinase (ERK) signaling axis. Monoassociation of T2D-associated tryptamine-producing bacteria Ruminococcus gnavus impairs insulin sensitivity in pseudo germ-free mice. Our findings indicate gut microbiota-derived tryptamine contributes to the development of insulin resistance in T2D and may serve as a new target for intervention. Graphical Abstract O_FIG_DISPLAY_L [Figure 1] M_FIG_DISPLAY C_FIG_DISPLAY

microbiology↗