Biology subjects

Luo, W.

Publications and source records attributed to Luo, W..

At least 109 records · Page 6Linked to original sources

bioRxiv2022

17α-estradiol, a lifespan-extending compound, attenuates liver fibrosis by modulating collagen turnover rates in male mice

BackgroundEstrogen signaling is protective against chronic liver diseases, although men and a subset of women are contraindicated for chronic treatment with 17{beta}-estradiol (17{beta}-E2) or combination hormone replacement therapies. We sought to determine if 17-estradiol (17-E2), a naturally-occurring diastereomer of 17{beta}-E2, could attenuate liver fibrosis. MethodsWe evaluated the effects of 17-E2 treatment on collagen synthesis and degradation rates using tracer-based labeling approaches in male mice subjected to carbon tetrachloride (CCl4)-induced liver fibrosis. We also assessed the effects of 17-E2 on markers of hepatic stellate cell (HSC) activation, collagen crosslinking, collagen degradation, and liver macrophage content and polarity. FindingsWe found that 17-E2 significantly reduced collagen synthesis rates and increased collagen degradation rates, which was mirrored by declines in transforming growth factor {beta}1 (TGF-{beta}1) and lysyl oxidase-like 2 (LOXL2) protein content in liver. These improvements were associated with increased matrix metalloproteinase 2 (MMP2) activity and suppressed stearoyl-coenzyme A desaturase 1 (SCD1) protein levels, the latter of which has been linked to the resolution of liver fibrosis. We also found that 17-E2 increased liver fetuin-A protein, a strong inhibitor of TGF-{beta}1 signaling, and reduced pro-inflammatory macrophage activation and cytokines expression in the liver. InterpretationWe conclude that 17-E2 reduces fibrotic burden by suppressing HSC activation and enhancing collagen degradation mechanisms. Future studies will be needed to determine if 17-E2 acts directly in hepatocytes, HSCs, and/or immune cells to elicit these benefits. FundingThis work was supported by the US National Institutes of Health and US Department of Veterans Affairs. RESEARCH IN CONTEXTO_ST_ABSEvidence before this studyC_ST_ABSThe prevalence and severity of chronic liver diseases are greater in men than women and men are twice as likely to die from chronic liver diseases. However, the prevalence and severity of nonalcoholic fatty liver disease (NAFLD), nonalcoholic steatohepatitis (NASH), and liver fibrosis becomes comparable between the sexes following menopause, particularly when hormone replacement therapies (HRT) are not initiated. These observations suggest that estrogen signaling is protective against liver disease onset and progression, which is supported by studies in rodents demonstrating that 17{beta}-estradiol (17{beta}-E2) ameliorates hepatic steatosis and fibrogenesis. However, chronic administration of 17{beta}-E2 or combination HRTs are unrealistic in men due to feminization and increased risk for stroke and prostate cancer, and a subset of the female population are also at an increased risk for breast cancer and cardiovascular events when on HRTs. Therefore, we have begun exploring the therapeutic potential of 17-estradiol (17-E2), a naturally-occurring, nonfeminizing, diastereomer of 17{beta}-E2, for the treatment of liver diseases. Added value of this studyIn this study, using tracer-based labeling approaches in male mice subjected to CCl4-induced liver fibrosis, we show that 17-E2 reduces liver fibrosis by attenuating collagen synthesis and enhancing collagen degradation mechanisms. Both transforming growth factor {beta}1 (TGF-{beta}1) and lysyl oxidase-like 2 (LOXL2) protein content in liver were reduced by 17-E2. We also found that 17-E2 increased matrix metalloproteinase 2 (MMP2) activity and suppressed stearoyl-coenzyme A desaturase 1 (SCD1) protein levels, the latter of which has been linked to the resolution of liver fibrosis. We also found that 17-E2 increased liver fetuin-A protein, a strong inhibitor of TGF-{beta}1 signaling, and reduced pro-inflammatory macrophage activation and cytokine expression in the liver. Implications of all the available evidenceThis study supports the idea that estrogens are protective against chronic liver diseases and that 17-E2 may have therapeutic utility for the treatment of liver fibrosis.

physiology↗

bioRxiv2022

Senolytic Treatment Reduces Cell Senescence and Necroptosis in Sod1 Knockout Mice that is Associated with Reduced Inflammation and Hepatocellular Carcinoma

The goal of this study was to test the role cellular senescence plays in the increase in inflammation, chronic liver disease, and hepatocellular carcinoma, which are seen in mice null for Cu/Zn-Superoxide dismutase (Sod1KO). To inhibit senescence, six-month-old wildtype (WT) and Sod1KO mice were given the senolytics, dasatinib and quercetin (D+Q) for seven months. D+Q treatment reduced the expression of p16 in the livers of Sod1KO mice to WT levels as well as the expression of several SASP (senescence associated secretory phenotype) factors (IL-6, IL-1{beta}, CXCL-1, and GDF-15). D+Q treatment also reduced markers of inflammation in livers of the Sod1KO mice, e.g., cytokines, chemokines, macropthage levels, and Kupffer cell clusters. D+Q treatment had no effect on various markers of liver fibrosis in the Sod1KO mice but reduced the expression of genes involved in liver cancer (Myc, Tgfbr2, Socs3, and Cdkn2a) as well as dramatically reducing the incidence of hepatocellular carcinoma. Surprisingly, D+Q also reduced markers of necroptosis (phosphorylated and oligomerized MLKL) in the Sod1KO mice to WT levels. We also found that inhibiting necroptosis in the Sod1KO mice with necrostatin-1s reduced the markers of cellular senescence (p16, p21, and p53). The data from our study suggest that an interaction occurs between cellular senescence and necroptosis in the liver of Sod1KO mice. We propose that these two cell fates interact through a positive feedback loop resulting in a cycle amplifying both cellular senescence and necroptosis leading to inflammaging and age-associated pathology in the Sod1KO mice.

biochemistry↗

bioRxiv2022

Kidney collecting duct cells make vasopressin in response to NaCl induced hypertonicity

Vasopressin has traditionally been thought to be produced by the neurohypophyseal system and then released into the circulation where it regulates water homeostasis. The syndrome of inappropriate secretion of anti-diuretic hormone (vasopressin) raised the question if vasopressin could be produced outside of the brain and whether the kidney could be a source of vasopressin. We found that mouse and human kidneys expressed vasopressin mRNA. Using an antibody that detects the pre-pro-vasopressin, we found that immunoreactive pre-pro-vasopressin protein is found in mouse and human kidneys. Moreover, we found that murine collecting duct cells make biologically active vasopressin which increases in response to NaCl mediated hypertonicity, and that water restriction increases the abundance of kidney-derived vasopressin mRNA and protein expression in mouse kidneys. Thus, we provide evidence of biologically active production of kidney-derived vasopressin in kidney tubular epithelial cells.

physiology↗

bioRxiv2022

Spatiotemporal atlas of the fetal brain depicts cortical developmental gradient in Chinese population

The fetal brains experience rapid and complex development in utero during the second and third trimesters. MRI atlas of the fetal brain in this period enables us to quantify the normal fetal brain development in the spatiotemporal domain. In this study, we constructed a high quality spatiotemporal atlas between 23-38 weeks gestational age (GA) from 90 healthy Chinese fetuses using a pairwise and groupwise registration-based pipeline. We quantified the fetal cortical morphology and characterized the developmental trajectories of each morphological index. The cortical thickness exhibited a biphasic growth pattern; the developmental trend of curvature fitted well into the Gompertz model; sulcal depth increased linearly while surface area expanded exponentially. The cortical thickness and curvature trajectories consistently pointed to a characteristic time-point during development around 31 weeks of GA. The characteristic GA and growth rate obtained from individual cortical regions suggested a central-to-peripheral developmental gradient, with the earliest development in the parietal lobe, and we also observed within-lobe regional orders, which may be linked to biophysical events such as dendritic arborization and thalamocortical fibers ingrowth. The proposed atlas was also compared with an existing fetal atlas from a Caucasian/mixed population. Finally, we examined the structural asymmetry of the fetal brains and found extensive asymmetry that dynamically changed with development. The current study depicted a comprehensive profile of fetal cortical development and the established atlas could be used as a normative reference for neurodevelopmental and diagnostic purposes, especially in the Chinese population.

bioengineering↗

bioRxiv2022

CLASP2 stabilizes GDP-associated terminal tubulins to prevent microtubule catastrophe

CLASPs are ubiquitous stabilizers of microtubule dynamics but their molecular targets at the microtubule plus-end are not understood. Using DNA origami-based reconstructions we show that clusters of human CLASP2 form a load-bearing bond with terminal GDP-tubulins at the stabilized microtubule tip. This activity relies on the unconventional TOG2 domain of CLASP2, which releases its high-affinity bond with the GDP-dimers upon their conversion into polymerization-competent GTP-tubulin. By tethering dynamic microtubule ends near immobilized CLASP2, we show that the targets for CLASP2 binding at the polymerizing tip arise stochastically, leading to nanoscale disruptions in microtubule tip integrity. The ability of CLASP2 to recognize nucleotide-specific tubulin conformation and stabilize the catastrophe-promoting GDP-tubulins intertwines with the previously underappreciated exchange between GDP and GTP at terminal tubulins, providing a distinct molecular mechanism to suppress microtubule catastrophe without affecting tubulin incorporation.

biophysics↗

bioRxiv2022

BOS1 is a positive regulator of wounding induced cell death and plant susceptibility to Botrytis

Programmed cell death (PCD) is required for many aspects of plant biology, including stress responses, immunity, and plant development including root and flower development. Our understanding of PCD regulation is incomplete, especially concerning regulators involved in multiple divergent processes. The botrytis-suscetible1 (bos1) mutant is one of the genotypes most susceptible to Botrytis cinerea (Botrytis) and has revealed the role of BOS1 in cell death propagation during plant responses to wounding. The bos1-1 allele harbours a T-DNA located in the 5UTR upstream from the start codon that results in elevated BOS1 transcript levels. Here, we resequenced the bos1-1 genome and found a MAS promoter at the ends of the T-DNAs. Expression of the BOS1 gene under control of the MAS promoter conferred the characteristic bos1-1 Botrytis- sensitivity and wounding phenotypes in wildtype plants. We used Crispr-Cas9 to create new bos1 alleles that disrupt exons. These lines lacked the typical bos1-1 wounding and Botrytis phenotypes, but exhibited reduced fertility, as previously observed in other bos1 T-DNA alleles. With multiple overexpression lines of BOS1, we demonstrate that BOS1 is involved in regulation of cell death propagation in a dosage dependent manner. Our data support that bos1-1 is a gain-of-function mutant and that BOS1 acts as a positive regulator of wounding and Botrytis-induced PCD. Taken together these finding suggest that BOS1 function in both fertility and Botrytis response could be unified under cell death control.

plant biology↗

bioRxiv2022

A novel form of macropinocytosis mediates ultra-rapid transfer of pathological alpha- synuclein to lysosomes

The nervous system spread of alpha-synuclein fibrils is thought to cause Parkinsons disease (PD) and other synucleinopathies, yet the mechanisms underlying internalization and cellular spread are enigmatic. Here we use confocal and super-resolution microscopy, subcellular fractionation and electron microscopy (EM) of immunogold labelled alpha-synuclein preformed fibrils (PFF) to demonstrate that this fibril form of alpha-synuclein undergoes rapid internalization and is targeted directly to lysosomes in as little as 2 minutes. Uptake of PFF is disrupted by macropinocytic inhibitors and circumvents classical endosomal pathways. Immunogold-labelled PFF are seen at the highly curved inward edge of membrane ruffles, in newly formed macropinosomes, in multivesicular bodies and in lysosomes. While most fibrils remain in lysosomes, a portion is transferred to neighboring naive cells along with markers of exosomes. These data indicate that PFF use a unique internalization mechanism as a component of cell-to-cell propagation.

cell biology↗

bioRxiv2021

Single-nuclei isoform RNA sequencing reveals combination patterns of transcript elements across human brain cell types

Single-nuclei RNA-Seq is being widely employed to investigate cell types, especially of human brain and other frozen samples. In contrast to single-cell approaches, however, the majority of single-nuclei RNA counts originate from partially processed RNA leading to intronic cDNAs, thus hindering the investigation of complete isoforms. Here, using microfluidics, PCR-based artifact removal, target enrichment, and long-read sequencing, we developed single-nuclei isoform RNA-sequencing ( SnISOr-Seq), and applied it to the analysis of human adult frontal cortex samples. We found that exons associated with autism exhibit coordinated and more cell-type specific inclusion than exons associated with schizophrenia or ALS. We discovered two distinct modes of combination patterns: first, those distinguishing cell types in the human brain. These are enriched in combinations of TSS-exon, exon-polyA site, and distant (non-adjacent) exon pairs. Second, those with all isoform combinations found within one neural cell type, which are enriched in adjacent exon pairs. Furthermore, adjacent exon pairs are predominantly mutually associated, while distant pairs are frequently mutually exclusive. Finally, we observed that human-specific exons are as tightly coordinated as conserved exons, pointing to an efficient evolutionary mechanism underpinning coordination. SnISOr-Seq opens the door to single-nuclei long-read isoform analysis in the human brain, and in any frozen, archived or hard-to-dissociate sample.

genomics↗

bioRxiv2021

Fast Medical Image Auto-segmentation for Bleeding Gastric Tissue Detection based on Deep DuS-KFCM Clustering

BackgroundDetection and classification of gastric bleeding tissues are one of the challenging tasks in endoscopy image analysis. Lesion detection plays an important role in gastric cancer (GC) diagnosis and follow-up. Manual segmentation of endoscopy images is a very time-consuming task and subject to intra- and interrater variability. Accurate GB segmentation in abdominal sequences is an essential and crucial task for surgical planning and navigation in gastric lesion ablation. However, GB segmentation in endoscope is a substantially challenging work because the intensity values of gastric blood are similar to those of adjacent structures. ObjectiveIn this paper the idea is to combine two parts: Neural Network and Fuzzy Logic--Hybrid Neuro-Fuzzy system. The objective of this manuscript is to provide an efficient way to segment the gastric bleeding lesion area. This work focuses on design and development of an automated diagnostic system using gastric bleeding cancer endoscopy images. MethodsIn this paper, a coarse-to-fine method was applied to segment gastric bleeding lesion from endoscopy images, which consists of two stages including rough segmentation and refined segmentation. The rough segmentation is based on a kernel fuzzy C-means algorithm with spatial information (SKFCM) algorithm combined with spatial gray level co-occurrence matrix (GLCM) and the refined segmentation is implemented with deeplabv3+ (backbone with resnet50) algorithm to improve the overall accuracy. ResultsExperimental results for gastric bleeding segmentation show that the method provides an accuracy of 87.9476% with specificity of 96.3343% and performs better than other related methods. onclusionsThe performance of the method was evaluated using two benchmark datasets: The GB Segmentation and the healthy datasets. Then use the gastric red spots (GRS) dataset to do the final test to verify weak bleeding symptoms. Our method achieves high accuracy in gastric bleeding lesion segmentation. The work describes an innovative way of using GLCM based textural features to extract underlying information in gastric bleeding cancer imagery. Modified deep DuS-KFCM endoscopy image segmentation method based on GLCM feature, The experimental results shown to be effective in image segmentation and has good performance of resisting noise, segmentation effect more ideal.

bioinformatics↗

bioRxiv2021

KDM6B sensitizes PARthanatos via suppression of O6-methylguanine DNA methyltransferase repair and sustained checkpoint response

Poly(ADP-ribose) polymerase-1 (PARP-1) is a DNA damage sensor and contributes to both DNA repair and cell death processes. However, how PARP-1 signaling is regulated to switch its function from DNA repair to cell death remains largely unknown. Here, we found that PARP-1 plays a central role in alkylating agent-induced PARthanatic cancer cell death. Lysine demethylase 6B (KDM6B) was identified as a key cell death effector in PARthanatos. Knockout of KDM6B or loss of KDM6B demethylase activity conferred cancer cells resistance to PARthanatic cell death in response to alkylating agents. Mechanistically, KDM6B knockout suppressed methylation at the promoter of O6-methylguanine-DNA methyltransferase (MGMT) to enhance MGMT expression and its direct DNA repair function, thereby inhibiting DNA damage-evoked PARP-1 hyperactivation and subsequent cell death. Moreover, KDM6B knockout triggered sustained Chk1 phosphorylation and activated a second repair machinery to fix DNA damage evading from MGMT repair. Inhibition of MGMT or checkpoint response re-sensitized KDM6B deficient cells to PARthanatos induced by alkylating agents. These findings provide new molecular insights into epigenetic regulation of PARP-1 signaling mediating DNA repair or cell death and identify KDM6B as a biomarker for prediction of cancer cell vulnerability to alkylating agent treatment.

molecular biology↗

bioRxiv2021

Immunoglobulin-producing AT2-like cells secrete IgA into the extracellular matrix in pulmonary fibrosis

Pulmonary fibrosis is an interstitial lung disease that can be caused by various factors. Here, we first observed extensive IgA deposition in the extracellular matrix (ECM) of the lungs of mice with pulmonary fibrosis induced by silica inhalation. Consistent with this phenomenon, spatial transcriptomic sequencing of fresh mouse lung tissues from control mice and model mice showed that Igha transcripts were highly expressed in the lesion area. Single-cell RNA sequencing (scRNA-seq) and reconstruction of B cell receptor (BCR) sequences revealed a new cluster of cells with a shared BCR and high expression of genes related to immunoglobulin IgA production. Surprisingly, these clonal cells had more characteristics of AT2 (alveolar epithelial cell type 2) cells than B cells; thus, these cells were named AT2-like cells. Therefore, we propose that secretion of IgA into the ECM by AT2-like cells is an important process that occurs during lung fibrosis.

cell biology↗

bioRxiv2021

Variations in EEG predicts the individual differences in social tasks

People experience events and form an impression of others in a way that is affected by social influence every day. In the present study, we designed a series of tasks centered on social influence to investigate peoples bias in following others opinions and its underlying neural predictors. Our results showed social conformity and proved that social influence-induced change can be predicted by the amount of inter-trial electroencephalogram (EEG) variations when people view others faces. This prediction effect is robust in the alpha-band over the right frontal and left occipital electrodes for negative influence. Inter-trial EEG variations can also predict the subsequent trust difference between negatively and positively influenced faces. Our findings suggest that higher Inter-trial EEG variations in the pre-influence task may serve as a predictor of high vulnerability to social influence. The present study provides a novel approach that considers both the stability of ones endogenous EEG and the variations in external task components to predict human social behaviors.

neuroscience↗

bioRxiv2021

Serine/arginine-rich splicing factor 7 plays oncogenic roles through specific regulation of m6A RNA modification

Serine/Arginine-Rich Splicing Factor 7 (SRSF7), which is previously recognized as a splicing factor, has been revealed to play oncogenic roles in multiple cancers. However, the mechanisms underlying its oncogenic roles have not been well addressed. Here, based on N6-methyladenosine (m6A) co-methylation network analysis across diverse cell lines, we found SRSF7 positively correlated with glioblastoma cell-specific m6A methylation. We then proved SRSF7 is a novel m6A regulator that specifically facilitates the m6A methylation near its binding sites on the mRNAs involved in cell proliferation and migration through recruiting methyltransferase complex. Moreover, SRSF7 promotes the proliferation and migration of glioblastoma cells largely dependent on the m6A methyltransferase. The two single-nucleotide m6A sites on PBK are regulated by SRSF7 and partially mediate the effects of SRSF7 on glioblastoma cells through recognition by IGF2BP2. Together, our discovery revealed a novel role of SRSF7 in regulating m6A and timely confirmed the existence and functional importance of RNA binding protein (RBP) mediated specific regulation of m6A.

molecular biology↗

bioRxiv2021

A practical framework RNMF for the potential mechanism of cancer progression with the analysis of genes cumulative contribution abundance

Mutational signatures can reveal the mechanism of tumorigenesis. We developed the RNMF software for mutational signatures analysis, including a key model of cumulative contribution abundance (CCA) which was designed to highlight the association between genes and mutational signatures. Applied it to 1073 esophageal squamous cell carcinoma (ESCC) and found that APOBEC signatures (SBS2* and SBS13*) mediated the occurrence of PIK3CA E545k mutation. Furthermore, we found that age signature is strongly linked to the TP53 R342* mutation. In addition, the CCA matrix image data of genes in the signatures New, SBS3* and SBS17b* were helpful for the preliminary evaluation of shortened survival outcome. In a word, RNMF can successfully achieve the correlation analysis of genes and mutational signatures, proving a strong theoretical basis for the study of tumor occurrence and development mechanism and clinical adjuvant medicine.

bioinformatics↗

bioRxiv2021

The synergistic effect of circRNA methylation promotes pulmonary fibrosis

RationaleN6-Methyladenosine (m6A) is the most common type of RNA methylation modification, mainly occurring on mRNA. Whether m6A-modified circRNAs are involved in different settings of pulmonary fibrosis remains unclear. Methods and ResultsUsing an m6A-circRNA epitranscriptomic chip, candidate circRNAs were selected, in which hsa_circ_0000672 and hsa_circ_0005654 were specifically involved in SiO2-induced pulmonary fibrosis by targeting the same protein, eIF4A3, indicating that the m6A modification of these two circRNAs has a synergistic effect on fibroblast dysfunction induced by SiO2. A mechanistic study revealed that the m6A modification of circRNAs was mainly mediated by the methyltransferase METTL3. Furthermore, METTL3 promoted the activation, migration and activity of pulmonary fibroblasts and participated in SiO2-induced pulmonary fibrosis via circRNA m6A modification. Conclusionm6A methylation of circRNAs mediates silica-induced fibrosis via synergistic effects, enriching the understanding of circRNAs and uncovering a potential new target to treat fibrosis-related diseases.

pharmacology and toxicology↗

bioRxiv2021

Inside Information: Systematic within-node connectivity changes observed across tasks or groups

Mapping the human connectome and understanding its relationship to brain function holds tremendous clinical potential. The connectome has two fundamental components: the nodes and the connections between them. While much attention has been given to deriving atlases and measuring the connections between nodes, there have been no studies examining the networks within nodes. Here we demonstrate that each node contains significant connectivity information, that varies systematically across task-induced states and subjects, such that measures based on these variations can be used to classify tasks and identify subjects. The results are not specific for any particular atlas but hold across different atlas resolutions. To date, studies examining changes in connectivity have focused on edge changes and assumed there is no useful information within nodes. Our findings illustrate that for typical atlases, within-node changes can be significant and may account for a substantial fraction of the variance currently attributed to edge changes.

neuroscience↗

bioRxiv2021

In planta genome editing with CRISPR/Cas9 ribonucleoproteins

In planta genome editing represents an attractive approach to engineering crops/varieties that are recalcitrant to culture-based transformation methods. Here, we report the direct delivery of CRISPR/Cas9 ribonucleoproteins into the shoot apical meristem using in planta particle bombardment and introduction of a semidwarf1 (sd1)-orthologous mutation into wheat. The triple knockout tasd1 mutant of an elite wheat variety reduced culm length by 10% without a reduction in yield.

plant biology↗

bioRxiv2021

ZHX2 Promotes HIF1α Oncogenic Signaling in Triple-Negative Breast Cancer

Triple-negative breast cancer (TNBC) is an aggressive and highly lethal disease, which warrants the critical need to identify new therapeutic targets. We show that Zinc Fingers And Homeoboxes 2 (ZHX2) is amplified or overexpressed in TNBC cell lines and patients. Functionally, depletion of ZHX2 inhibited TNBC cell growth and invasion in vitro, orthotopic tumor growth and spontaneous lung metastasis in vivo. Mechanistically, ZHX2 bound with hypoxia inducible factor (HIF) family members and positively regulated HIF1 activity in TNBC. Integrated ChIP-Seq and gene expression profiling demonstrated that ZHX2 co-occupied with HIF1 on transcriptionally active promoters marked by H3K4me3 and H3K27ac, thereby promoting gene expression. Furthermore, multiple residues (R491, R581 and R674) on ZHX2 are important in regulating its phenotype, which correspond with their roles on controlling HIF1 activity in TNBC cells. These studies establish that ZHX2 activates oncogenic HIF1 signaling, therefore serving as a potential therapeutic target for TNBC.

cancer biology↗