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Biology subjects

He, Z.

Publications and source records attributed to He, Z..

At least 289 records · Page 16Linked to original sources

Performance assessment of age-adapted SOFA, qSOFA, and PELOD-2, PCIS, P-MODS for Hand, Foot and Mouth Disease

ObjectivesHand, foot and mouth disease (HFMD) is a common infectious disease in children caused by intestinal virus and an important cause of child death. Early identification of critical HFMD and timely intervention are the key to reduce mortality. However, there is no available unified critical HFMD screening standard. This study aimed to explore the predictive evaluation of HFMD with critical illness scoring systems.\n\nMethodsA total of 31 patients with mild HFMD, 30 with severe HFMD, and 25 with critical HFMD were included. The platelet index in age-adapted sequential organ failure assessment score (SOFA) was re-assigned to constitute the SOFA for HFMD (H-SOFA). The results of age-adapted SOFA, quick SOFA (qSOFA), and pediatric logistic organ dysfunction score-2 (PELOD-2), pediatric multiple organ dysfunction score (P-MODS), pediatric critical illness score (PCIS), H-SOFA of the three groups were compared.\n\nResultsSignificant differences in the following parameters were found between severe group and critical group: enterovirus 71 positive, heart rate, respiration, vomiting, cold sweat, moist rales, disturbance in consciousness, platelet, and blood glucose (P<0.05), as well as all critical illness scoring data (P<0.001). age-adapted SOFA, qSOFA, and PELOD-2, P-MODS, H-SOFA were positively correlated with critical HFMD (odds ratio (OR): 3.213, 8.66, 2.64, 2.56, and 4.297 respectively; P<0.01), with area under the curve (AUC) values of 0.938, 0.823, 0.848, 0.910, and 0.956, respectively. PCIS was negatively correlated with critical HFMD (OR=0.76, P<0.001), with an AUC value of 0.865.\n\nConclusionIncrease in platelet count was related to the severity of HFMD. Age-adapted SOFA, qSOFA, and PELOD-2, P-MODS, PCIS, H-SOFA had high predictive value on critical HFMD, with H-SOFA being the highest.

epidemiology↗

N-Glycome regulation limits the transdifferentiation of endothelial cells into hematopoietic stem cells

Hematopoietic stem and progenitor cells (HSPCs) that establish and maintain the blood system in adult vertebrates arise from the transdifferentiation of hemogenic endothelial cells (hemECs) during embryogenesis. This endothelial-to-hematopoietic transition (EHT) is tightly regulated, but the mechanisms are poorly understood. Here, we show that microRNA (miR)-223-mediated regulation of N-glycan biosynthesis in endothelial cells (ECs) regulates EHT. Single cell RNA-sequencing revealed that miR-223 is enriched in hemECs and in oligopotent nascent HSPCs. miR-223 restricts the EHT of lymphoid/myeloid lineages by suppressing the expression of mannosyltransferase alg2 and sialyltransferase st3gal2, two enzymes involved in N-linked protein glycosylation. High-throughput glycomics of ECs lacking miR-223 showed a decrease of high mannose versus sialylated complex/hybrid sugars on N-glycoproteins involved in EHT such as the metalloprotease Adam10. Endothelial-specific expression of an N-glycan Adam10 mutant or of the N-glycoenzymes phenocopied the aberrant HSPC production of miR-223 mutants. Thus, the N-glycome plays a previously unappreciated role as an intrinsic regulator of EHT, with specific mannose and sialic acid modifications serving as key endothelial determinants of their hematopoietic fate. One Sentence SummaryThe N-glycan "sugar code" governs the hematopoietic fate of endothelial cells and regulates blood stem cell production in vivo.

developmental biology↗

Potential role of heat shock protein 90 in regulation of hyperthermia-driven differentiation of neural stem cells

ObjectiveOur previous studies indicated that hyperthermia may play a role in differentiation of neural stem cells and that hypoxia inducible factor-1(HIF-1) was critical in this process. Heat shock protein 90 (Hsp90) is one of the most common heat-related proteins and involved in HIF-1 expression by regulating its activity and stabilization. Here, we hypothesized that HSP90 may be involved in regulation of hyperthermia-driven differentiation of neural stem cells(NSCs). We also investigated whether the HSP90 activity exert its regulatory action via HIF-1 pathway and the transcriptional level of the target genes of HIF-1.\n\nMethodThe cultured NSCs were divided into three groups: an hyperthermic treatment group(40NSC) which NSCs was induced under 40{degrees}C temperature; a control group(37NSC) which NSCs was induced under 37{degrees}C temperature; an hyperthermic treatment and HSP90-inhibited group(40NSC+GA) which NSCs was induced with 0.5M HSP90 inhibitor Geldanamycin(GA) under 40{degrees}C temperature. We examined cells HSPa and HIF-1a expression during a time window of 5 days(12h, 1d, 3d, 5d) post-differentiation. The expression HSP, HIF-1, VEGF (vascular endothelial growth factor) and erythmpoietin(EPO) of during a time window was evaluated by RT-qPCR. The proportion of Tuj-1 positive differentiated cells were observed by flow cytometry.\n\nResultHyperthermia promoted neuronal differentiation of NSC, and this effect could be blocked by HSP90 inhibitor GA. We observed the up-regulation of HSP90 during hyperthermia treatment, and that the protein levels of HIF-1 changed depending of the GA treatment. GA could not inhibited HSP90 expression but suppressed HSP activity and decreased the expression HIF-1 protein. Inhibition of HIF-1 expression by GA could consequently affect expression of its targeted genes such as VEGF and EPO.\n\nConclusionHyperthermia promote differentiation of NSCs into neurons. HSP90 involved in the regulation of hyperthermia-driven differentiation of NSC, and the mechanism is related to HIF-1 and its downstream gene activation.

cell biology↗

DeepSSV: detecting somatic small variants in paired tumor and normal sequencing data with convolutional neural network

MotivationIt is of considerable interest to detect somatic mutations in paired tumor and normal sequencing data. A number of callers that are based on statistical or machine learning approaches have been developed to detect somatic small variants. However, they take into consideration only limited information about the reference and potential variant allele in both samples at a candidate somatic site. Also, they differ in how biological and technological noises are addressed. Hence, they are expected to produce divergent outputs.\n\nResultsTo overcome the drawbacks of existing somatic callers, we develop a deep learning-based tool called DeepSSV, which employs a convolutional neural network (CNN) model to learn increasingly abstract feature representations from the raw data in higher feature layers. DeepSSV creates a spatially-oriented representation of read alignments around the candidate somatic sites adapted for the convolutional architecture, which enables it to expand to effectively gather scattered evidences. Moreover, DeepSSV incorporates the mapping information of both reference-allele-supporting and variant-allele-supporting reads in the tumor and normal samples at a genomic site that are readily available in the pileup format file. Together, the CNN model can process the whole alignment information. Such representational richness allows the model to capture the dependencies in the sequence and identify context-based sequencing artifacts, and alleviates the need of post-call filters that heavily depend on prior knowledge. We fitted the model on ground truth somatic mutations, and did benchmarking experiments on simulated and real tumors. The benchmarking results demonstrate that DeepSSV outperforms its state-of-the-art competitors in overall F1 score.\n\nAvailability and Implementationhttps://github.com/jingmeng-bioinformatics/DeepSSV\n\nContacta.salim@latrobe.edu.au\n\nSupplementary informationSupplementary data are available at online.

bioinformatics↗

Construction and validation of EGFP-expressing Staphylococcus aureus clinical strains for adhesion and internalization assays on epithelial cells

BackgroundStaphylococcus aureus is both a major pathogen and a commensal bacterium in humans. It is able to adhere at the surface of epithelial cells of the anterior nares and can trigger its internalization inside these non-professional phagocytic cells. To better understand the interactions of clinical isolates with keratinocytes in the anterior nares, we developed and validated a one-step protocol expressing enhanced green fluorescent protein (EGFP) in S. aureus clinical strains with the aim to study adhesion to and internalization into mammalian cells.\n\nMethodsTwenty S. aureus clinical isolates belonging to clonal complexes 5, 8, 30, 45, 398 were selected for one-step transformation protocol with the EGFP-encoding plasmid pBSU101. EGFP expression was analysed by flow cytometry and confocal microscopy. Wild type and isogenic EGFP-expressing strains were compared for adhesion and internalization levels by using the HaCaT cell model.\n\nResultsTransformation was achieved in all the S. aureus strains regardless of their genetic background. The flow cytometry analysis showed that the mean proportion of EGFP-expressing bacteria was 97.2% ({+/-} 2.1) after 4h of incubation. Adhesion and internalization levels were similar in wild-type and isogenic EGFP-expressing S. aureus strains. Confocal laser scanning microscopy confirmed that EGFP-expressing S. aureus bacteria could be easily identified inside HaCaT keratinocytes.\n\nConclusionThis study reports an efficient protocol for expressing EGFP in S. aureus clinical strains and demonstrates that these EGFP-expressing strains are suitable for adhesion and internalization assays using HaCaT cells, which allows to perform static and dynamic in vitro studies of S. aureus colonization.

microbiology↗

Noninvasive prenatal diagnosis for Hemophilia A by haplotype-based approach using cell-free fetal DNA in maternal plasma

ObjectivesThis study was used to demonstrate the feasibility of haplotype-based noninvasive prenatal diagnosis for Hemophilia A. MethodsTwo families affected by Hemophilia A participated in our study. Maternal haplotypes associated with pathogenic mutation was built using targeted region genotypes of mother and the proband. Combined with maternal pathogenic haplotype, a Hidden Markov Model was constructed to deduce fetal haplotype using high-coverage targeted sequencing of maternal plasma. The presence of pathogenic haplotype in male indicated affected fetus, in female indicated carrier. Prenatal diagnosis was confirmed with amniocentesis by long distance PCR. ResultsThe haplotype-based noninvasive prenatal diagnosis was successfully performed in Hemophilia A. One fetus was identified to be normal, another fetus was identified as carrier, and the results were confirmed by amniocentesis . ConclusionOur research demonstrated the feasibility of noninvasive prenatal diagnosis for Hemophilia A by haplotype-based approach.

molecular biology↗

An MCMC-based method for Bayesian inference of natural selection from time series DNA data across linked loci

Recent advances in DNA sequencing techniques have made it possible to monitor genomes in great detail over time. This improvement provides an opportunity for us to study natural selection based on time serial samples of genomes while accounting for genetic recombination effect and local linkage information. Such genomic time series data allow for more accurate estimation of population genetic parameters and hypothesis testing on the recent action of natural selection. In this work, we develop a novel Bayesian statistical framework for inferring natural selection at a pair of linked loci by capitalising on the temporal aspect of DNA data with the additional flexibility of modelling the sampled chromosomes that contain unknown alleles. Our approach is based on a hidden Markov model where the underlying process is a two-locus Wright-Fisher diffusion with selection, which enables us to explicitly model genetic recombination and local linkage. The posterior probability distribution for the selection coefficients is obtained by using the particle marginal Metropolis-Hastings algorithm, which allows us to efficiently calculate the likelihood. We evaluate the performance of our Bayesian inference procedure through extensive simulations, showing that our method can deliver accurate estimates of selection coefficients, and the addition of genetic recombination and local linkage brings about significant improvement in the inference of natural selection. We illustrate the utility of our approach on real data with an application to ancient DNA data associated with white spotting patterns in horses.

genetics↗

MicroRNA-143 plays a protective role in ischemia-induced retinal neovascularization

Retinal neovascularization is a severe complication of proliferative diabetic retinopathy. MicroRNAs (miRNAs) are master regulators of gene expression that play important roles in retinal neovascularization. Here, we investigated the retinal miRNA expression profile in a rat model of oxygen-induced retinopathy (OIR) through miRNA-Seq. We found that miR-143-3p, miR-126-3p, miR-150-5p and miR-145-5p were significantly down-regulated in the retina of OIR rats, and directly involved in the development of retinal neovascularization. Of these identified miRNAs, miR-143 is enriched in retina and was first reported being associated with pathological retinal angiogenesis. Our RNA-Seq data further suggested that miR-143 alleviates retinal neovascularization by mediating the inflammation/stress pathways via Fos. Moreover, the computational analysis indicated that Transforming Growth Factor-beta Activated Kinase 1 (TAK1) is involved in several key pathways associated with the dysregulated miRNAs. The pharmacological inhibition of TAK1 suppressed angiogenesis in vitro and retinal neovascularization in vivo. Our data highlight the utility of next-generation sequencing in the development of therapeutics for ocular neovascularization and further suggest that therapeutic targeting the dysregulated miRNAs or TAK1 may be a feasible adjunct therapeutic approach in patients with retinal neovascularization.

molecular biology↗

Molecular evolution in large steps - Codon substitutions under positive selection

Molecular evolution is believed to proceed in small steps. The step size can be defined by a distance reflecting physico-chemical disparities between amino acid (AA) pairs that can be exchanged by single 1 bp mutations. We show that AA substitution rates are strongly and negatively correlated with this distance but only when positive selection is relatively weak. We use the McDonald and Kreitman (MK) test to separate the influences of positive and negative selection. While negative selection is indeed stronger on AA substitutions generating larger changes in chemical properties of amino acids, positive selection operates by different rules. For 65 of the 75 possible pairs, positive selection is comparable in strength regardless of AA distance. However, the 10 pairs under the strongest positive selection all exhibit large leaps in chemical properties. Five of the 10 pairs are shared between hominoids and Drosophila, thus hinting at a common but modest biochemical basis of adaptation across taxa. The hypothesis that adaptive changes often take large functional steps will need to be extensively tested. If validated, molecular models will need to better integrate positive and negative selection in the search for adaptive signal.

evolutionary biology↗

The kinetochore protein Spc105, a novel interaction partner of LaeA, regulates development and secondary metabolism in Aspergillus flavus

Nuclear protein LaeA is known as the global regulator of secondary metabolism in Aspergillus. LaeA connects with VeA and VelB to form a heterotrimeric complex, which coordinates fungal development and secondary metabolism. Here, we describe a new interaction partner of LaeA, the kinetochore protein Spc105, from the aflatoxin-producing fungus Aspergillus flavus. We showed that in addition to involvement in nuclear division, Spc105 is required for normal conidiophore development and sclerotia production of A. flavus. Moreover, Spc105 positively regulates the production of secondary metabolites such as aflatoxin and kojic acid, and negatively regulates the production of cyclopiazonic acid. Transcriptome analysis of the{Delta} spc105 strain revealed that 23 backbone genes were differentially expressed, corresponding to 19 of the predicted 56 secondary metabolite gene clusters, suggesting a broad regulatory role of Spc105 in secondary metabolism. Notably, the reduced expression of laeA in our transcriptome data led to the discovery of the correlation between Spc105 and LaeA, and double mutant analysis indicated a functional interdependence between Spc105 and LaeA. Further, yeast two-hybrid (Y2H) and GST pull-down assays revealed that Spc105 interacts directly with the S-adenosylmethionine (SAM)-binding domain of LaeA, and that the leucine zipper motif in Spc105 is required for this interaction. The Spc105-LaeA interaction identified in our study indicates a cooperative interplay of distinct regulators in A. flavus, providing new insights into fungal secondary metabolism regulation networks.\n\nAuthor summaryThe worldwide concern on agriculture and food safety due to aflatoxin contamination has prompted increasing interest in understanding aflatoxin biosynthesis regulation that has become a model for exploring secondary metabolism regulation in fungi. In Aspergillus, the nuclear protein LaeA is considered as a global regulator of secondary metabolism that forms a regulatory unit with VeA and VelB. LaeA is proposed to control secondary metabolism epigenetically through altering the chromatin structure for gene expression, however, the exact mechanism is still enigmatic. Here we identified a new interaction partner of LaeA, a kinetochore protein Spc105, in aflatoxigenic Aspergillus flavus. We presented a regulatory role of this kinetochore protein in fungal development and aflatoxin biosynthesis for the first time, and demonstrated its interdependent relationship with LaeA. The finding that such a conserved cell division related gene regulates A. flavus secondary metabolism will offer new insights into the fungal secondary metabolism regulation and improve our understanding of LaeA involved networks.

microbiology↗

FAM83D directs protein kinase CK1α to the mitotic spindle for proper spindle positioning

The concerted action of many protein kinases helps orchestrate the error-free progression through mitosis of mammalian cells. The roles and regulation of some prominent mitotic kinases, such as cyclin-dependent kinases, are well-established. However, these and other known mitotic kinases alone cannot account for the extent of protein phosphorylation that has been reported during mammalian mitosis. Here we demonstrate that CK1, of the casein kinase 1 family of protein kinases, localises to the spindle and is required for proper spindle-positioning and timely cell division. CK1 is recruited to the spindle by FAM83D, and cells devoid of FAM83D, or those harbouring CK1-binding-deficient FAM83DF283A/F283A knockin mutation, display pronounced spindle-positioning defects, and a prolonged mitosis. Restoring FAM83D at the endogenous locus in FAM83D-/- cells, or artificially delivering CK1 to the spindle in FAM83DF283A/F283A cells, rescues these defects. These findings implicate CK1 as new mitotic kinase that orchestrates the kinetics and orientation of cell division.

cell biology↗

USP15 participates in HCV propagation through the regulation of viral RNA translation and lipid droplet formation

Hepatitis C virus (HCV) utilizes cellular factors for an efficient propagation. Ubiquitin is covalently conjugated to the substrate to alter its stability or to modulate signal transduction. In this study, we examined the importance of ubiquitination for HCV propagation. We found that inhibition of de-ubiquitinating enzymes (DUBs) or overexpression of non-specific DUBs impaired HCV replication, suggesting that ubiquitination regulates HCV replication. To identify specific DUBs involved in HCV propagation, we set up an RNAi screening against DUBs and successfully identified ubiquitin-specific protease 15 (USP15) as a novel host factor for HCV propagation. Our studies showed that USP15 is involved in translation of HCV RNA and production of infectious HCV particles. In addition, deficiency of USP15 in human hepatic cell lines (Huh7 and Hep3B/miR122 cells) but not in a non-hepatic cell line (293T cells) impaired HCV propagation, suggesting that USP15 participates in HCV propagation through the regulation of hepatocyte-specific functions. Moreover, we showed that loss of USP15 had no effect on innate immune responses in vitro and in vivo. We also found that USP15-deficient Huh7 cells showed reductions in the sizes and numbers of lipid droplets (LDs), and addition of palmitic acids restored the production of infectious HCV particles. Taken together, these data suggest that USP15 participates in HCV propagation by regulating the translation of HCV RNA and formation of LDs.

microbiology↗

Multiple Toll-Spätzle Pathways in Drosophila melanogaster Immunity

The Drosophila melanogaster Toll-Spatzle pathway plays an important role in development and immunity. Drosophila genome encodes nine Toll receptors and six Spatzle (Spz) proteins, and only the canonical Toll-Spz (Toll-1-Spz-1) pathway has been well investigated. In this study, we compared the nine Drosophila Tolls and showed that similarly to Toll, Toll-7 also strongly activated drosomycin promoter. Importantly, we showed that both Toll and Toll-7 interacted with Spz, Spz-2 and Spz-5, and co-expression of Toll or Toll-7 with Spz, Spz-2 and Spz-5 activated the drosomycin promoter. Furthermore, Toll and Toll-7 both recognized vesicular stomatitis virus (VSV) by binding to the VSV glycoprotein. Septic infection in Toll and Toll-7 mutant flies suggested that Toll and Toll-7 differentially affected defense responses in adult males and females after systemic infection by Enterococcus faecalis, Pseudomonas aeruginosa, Candida albicans or VSV. Our results suggest multiple Toll family members activate the expression of antimicrobial peptides. Our results also provide evidence that Toll and Toll-7 bind multiple Spatzle proteins and differentially affect immune defense against different pathogens in adult male and female flies.

immunology↗

An \"inverse approach\" to the treatment of amblyopia

Recent laboratory finding suggest that short-term patching the amblyopic eye (i.e., inverse occlusion) results in a larger and more sustained improvement in the binocular balance compared with normal controls. In this study, we investigate the cumulative effects of the short-term inverse occlusion in adults and old children with amblyopia. A prospective cohort study of 18 amblyopes (10-35 years old; 3 with strabismus) who have been subjected to 2 hours/day of inverse occlusion for 2 months. Patients who required refractive correction or whose refractive correction needed updating were given a 2-month period of refractive adaptation. The primary outcome measure was the binocular balance which was measured using a phase combination task, the secondary outcome measures were the best corrected visual acuity which was measured with a Tumbling E acuity chart and convert to logMAR units and the stereo acuity which was measured with the Random-dot preschool stereotest. The averaged binocular gain was 0.11 in terms of the effective contrast ratio (z = -2.344, p = 0.019, 2-tailed Related samples Wilcoxon Signed Ranks Test). The average acuity gain was 0.14 logMAR equivalent (t(17) = 0.13, p < 0.001, 2-tailed paired samples t-test). The averaged stereo acuity gain was 253 arc seconds (z = -2.689, p = 0.007). Based on more recent research concerning adult ocular dominance plasticity, contrary to current practice, patching the amblyopic eye makes more sense; comparable acuity benefits, better compliance, better binocular outcome and applicable to adults as well as old children.

neuroscience↗

Skepticism toward adaptive signals in DNA sequence comparisons - Is the neutral theory dead yet?

A recent study suggests that the evidence of adaptive DNA sequence evolution accumulated in the last 20 years may be suspect1. The suspicion thus calls for a re-examination of the reported evidence. The two main lines of evidence are from the McDonald-Kreitman (MK) test, which compares divergence and polymorphism data, and the PAML test, which analyzes multi-species divergence data. Here, we apply these two tests concurrently on the genomic data of Drosophila and Arabidopsis. To our surprise, the >100 genes identified by the two tests do not overlap beyond random expectations. The results could mean i) high false positives by either test or ii) high false-negatives by both tests due to low powers. To rule out the latter, we merge every 20 - 30 genes into a "supergene". At the supergene level, the power of detection is high, with 8% - 56% yielding adaptive signals. Nevertheless, the calls still do not overlap. Since it is unlikely that one test is largely correct and the other is mostly wrong (see Discussion), the total evidence of adaptive DNA sequence evolution should be deemed unreliable. As suggested by Chen et al.1, the reported evidence for positive selection may in fact be signals of fluctuating negative selection, which are handled differently by the two tests. Possible paths forward on this central evolutionary issue are discussed.

evolutionary biology↗

Genome-wide selection footprints and deleterious variations in young Asian allotetraploid rapeseed

Brassica napus (AACC, 2n=38), is an important oilseed crop grown worldwide. However, little is known about the population evolution of this species, the genomic difference between its major genetic clusters, such as European and Asian rapeseed, and impacts of historical large-sale introgression events in this young tetraploid. In this study, we reported the de novo assembly of the genome sequences of an Asian rapeseed (B. napus), Ningyou 7 and its four progenitors and carried out de novo assembly-based comparison, pedigree and population analysis with other available genomic data from diverse European and Asian cultivars. Our results showed that Asian rapeseed originally derived from European rapeseed, but it had subsequently significantly diverged, with rapid genome differentiation after intensive local breeding selection. The first historical introgression of B. rapa dramatically broadened the allelic pool of Asian B. napus, but decreased their deleterious variations. The secondary historical introgression of European rapeseed (canola-quality) has reshaped Asian rapeseed into two groups, accompanied by an increase in genetic load. This study demonstrates distinctive genomic footprints by recent intra- and inter-species introgression events for local adaptation, and provide novel insights for understanding the rapid genome evolution of a young allopolyploid crop.

genomics↗

Wheat avenin-like protein and its significant Fusarium Head Blight resistant functions

Wheat Avenin-like proteins (TaALP) are atypical storage proteins belonging to the Prolamin superfamily. Previous studies on ALPs have focused on the proteins positive effects on dough strength, whilst no correlation has been made between TaALPs and the plant immune system. Here, we performed genome-wide characterization of ALP encoding genes in bread wheat. In silico analyses indicated the presence of critical peptides in TaALPs that are active in the plant immune system. Pathogenesis-related nucleotide motifs were also identified in the putative promoter regions of TaALP encoding genes. RT-PCR was performed on TaALP and previously characterised pathogenesis resistance genes in developing wheat caryopses under control and Fusarium graminearum infection conditions. The results showed that TaALP and NMT genes were upregulated upon F. graminearum inoculation. mRNA insitu hybridization showed that TaALP genes were expressed in the embryo, aleurone and sub-aleurone layer cells. Seven TaALP genes were cloned for the expression of recombinant proteins in Escherichia coli, which displayed significant inhibitory function on F. graminearum under anti-fungal tests. In addition, FHB index association analyses showed that allelic variations of two ALP genes on chromosome 7A were significantly correlated with FHB symptoms. Over-expression of an ALP gene on chromosome 7A showed an enhanced resistance to FHB. Yeast two Hybridization results revealed that ALPs have potential proteases inhibiting effect on metacaspases and beta-glucosidases. A vital infection process related pathogen protein, F. graminearum Beta-glucosidase was found to interact with ALPs. Our study is the first to report a class of wheat storage protein or gluten protein with biochemical functions. Due to its abundance in the grain and the important multi-functions, the results obtained in the current study are expected to have a significant impact on wheat research and industry.

molecular biology↗

Inhibition of HtrA2 alleviated colitis by preventing necroptosis of intestinal epithelial cells

Necroptosis of intestinal epithelial cells has been indicated to play an important role in the pathogenesis of inflammatory bowel disease (IBD). The identification of dysregulated proteins that can regulate necroptosis in dextran sulfate sodium (DSS)-induced colitis is the key to the rational design of therapeutic strategies for colitis. Through Tandem Mass Tag (TMT)-based quantitative proteomics, HtrA2 was found to be downregulated in the colon of DSS-treated mice. UCF-101, a specific serine protease inhibitor of HtrA2, significantly alleviated DSS-induced colitis as indicated by prevention of body weight loss and decreased mortality. UCF-101 decreased DSS-induced colonic inflammation, prevented intestinal barrier function loss and inhibited necroptosis of intestinal epithelial cells. In vitro, UCF-101 or silencing of HtrA2 decreased necroptosis of HT-29 and L929 cells. UCF-101 decreased phosphorylation of RIPK1 and subsequent phosphorylation of RIPK3 and MLKL during necroptosis. HtrA2 directly interacted with RIPK1 and promoted its degradation during a specific time phase of necroptosis. Our findings highlight the importance of HtrA2 in regulating colitis by modulation of necroptosis and suggest HtrA2 as an attractive target for anti-colitis treatment.

molecular biology↗