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li, z.

Publications and source records attributed to li, z..

15 recordsLinked to original sources

Nucleoid-associated proteins sense phage-induced genome damage to elicit abortive infection

Bacteria have evolved diverse immune strategies to detect and neutralize bacteriophage infection. Here, we describe an unprecedented paradigm in which a chromosome-architecting nucleoid-associated protein (NAP) is repurposed as a viral infection sensor. When phage attack leads to genome degradation, the NAP sensor is released from the nucleoid to the cytoplasm, where it binds and activates diverse immune effectors. One such effector is a nucleotide-modifying toxin normally existing as an inactive homotetramer. NAP binding converts it into a catalytically active heterotrimer that halts both transcription and translation. Phylogenetic analyses unveiled the high modularity, polyphyletic origin, and wide distribution of NAP-mediated defenses. Collectively, we define a distinct class of defense systems in which bacteria sense phage-induced genome damage through NAP relocation, highlighting an unexpected but essential role for these proteins as sentinels of genome integrity.

microbiology↗

TRiC-assisted folding of class I HDAC family proteins regulated by distinct co-chaperone and cofactor networks

Class I histone deacetylases (HDACs), including HDAC1, HDAC2, HDAC3, and HDAC8, are essential for diverse cellular processes. Although the chaperonin TRiC is implicated in the activation of class I HDACs, the underlying mechanisms remain elusive. Using cryo-electron microscopy (cryo-EM), cross-linking mass spectrometry (XL-MS), and biochemistry analyses, we established class I HDACs as novel TRiC substrates and elucidate TRiC-assisted folding of HDAC1 and HDAC3 during its ATPase cycle, orchestrated by distinct co-chaperone and cofactor networks. In the closed TRiC chamber, both HDAC1 and HDAC3 adopt near-native states with shared binding interfaces. However, their open-state configurations diverge: Hsp70 and PDCD5 engage atop and within TRiC, respectively, for HDAC3, whereas prefoldin (PFD) binds atop TRiC for HDAC1, suggesting roles in substrate delivery and folding modulation. Furthermore, an unexpected bent conformation of CCT4, detected in TRiC-HDAC1 complex, may facilitate co-chaperone dissociation from TRiC. In contrast, HDAC8 folds independently of TRiC. Our study reveals the mechanism governing TRiC-assisted folding of class I HDACs in orchestration of dynamic co-chaperone/cofactor network, shielding new lights on the sophisticated regulatory landscape of TRiC, and open promising avenues for designing peptides or small molecules to selectively modulate TRiC-assisted folding of class I HDACs and other substrates.

molecular biology↗

A rapid and efficient in vivo inoculation method for introducing tree stem canker pathogens onto leaves, suitable for large-scale assessment of resistance in poplar breeding progeny

Hybrid breeding, a direct and efficient strategy for disease control and management in tree species, is currently limited by the selection method of resist clones: the "in vitro stem segment inoculation method." This method, constrained by the availability of inoculating materials, cannot rapidly, efficiently, and cost-effectively screen the resistance of all hybrid clones. To overcome these limitations, we introduce a novel pathogen inoculation method for the resistance assessment of hybrid clones in the poplar-Valsa sordida pathosystem. This method involves inoculating the stem canker pathogen on the host leaf, a unique and promising approach we have successfully validated. Results showed that stem canker pathogen V. sordida induced the extended necrotic lesion and even induced the formation of pycnidium structure and conidia on the leaf surface five days after mycelium inoculation; 1) the upper 5-7th leaves exhibited higher resistance than the middle 18-20th leaves; 2) the shading conditions induced more severe symptoms on the leaves than lighting conditions; 3) the juvenile mycelium inoculums (4-day-cultured) were more susceptible to poplar leaves than the old ones (7-day-cultured). Our results demonstrate the robustness of the "in vivo leaf inoculation method" in revealing the resistance differentiation in poplar hybrid clones. According to the leaf necrotic area disease index, we divided these poplar clones into seven different resistance groups. The resistance assessed by leaf assessment was validated in 15 selected poplar clones using the "in vitro stem segment inoculation method." Results showed that the effectiveness of these two methods was consistent. Moreover, the leaf inoculation method can be used to detect the pathogenicity diversity of the pathogen population of tree species. Compared to the conventional "in vitro stem segment inoculation method," the leaf method has the advantages of abundant inoculation materials, easy operation, rapid disease onset, and almost no adverse effect on the host. It is particularly suitable for the resistance screening of all progeny and the early (seedling) phenotypic selection of resistant poplar clones in poplar stem disease resistance breeding. The "in vivo leaf inoculation method" holds significant promise in poplar breeding, tree pathology, and molecular biology research on tree stem diseases.

plant biology↗

Human DDIT4L intron retention contributes to cognitive impairment and amyloid plaque formation.

Cognitive impairment and amyloid plaques are the most important clinical and neuropathological feature for dementia, especially in Alzheimers disease (AD). However, the etiology of dementia is complicated. The present study reveals that an aberrant splicing of DDIT4L, the isoform DDIT4L intron retention (DIR), occurs in AD patients. Homozygous DIR-knock-in (KI) mice showed DIR expression in hippocampal neurons, marked cognitive impairment, augmented A{beta} deposition and enhanced Tau phosphorylation. The DIR colocalized with thioflavin S-positive plaques and gelsolin in AD patients. The DIR induced A{beta} deposition and cognitive impairment by interacting with gelsolin. Moreover, DIR interacted with GluA1, the subunit of the AMPA receptor, contributing to synaptic deficiency and cognitive impairment. Furthermore, an anti-DIR monoclonal antibody (mAb) alleviated cognitive impairment and reduced A{beta} deposition and Tau phosphorylation. Thus, DIR contributes to cognitive impairment and amyloid plaques, and could be a potential therapeutic target for dementia.

neuroscience↗

Structural basis for the concerted antiphage activity in the SIR2-HerA system

Recently, a novel two-gene bacterial defense system against phages, encoding a SIR2 NADase and a HerA translocase, has been identified. However, the molecular mechanism of the bacterial SIR2-HerA immune system remains unclear. Here, we determine the cryo-EM structures of SIR2, HerA and their complex in different functional states. The SIR2 proteins oligomerize into a dodecameric ring-shaped structure consisting of two layers of interlocked hexamers, in which each SIR2 unit exhibits an auto-inhibited conformation. Distinct from the canonical AAA+ proteins, the HerA hexamer in this antiphage system adopts a split spiral arrangement, resembling the substrate-binding state, which is stabilized by a unique C-terminal extension. SIR2 and HerA proteins assemble into a [~] 1.1 MDa torch-shaped complex to fight against phage infection. Importantly, disruption of the interactions between SIR2 and HerA largely abolishes the antiphage activity. Interestingly, HerA binding alters the oligomer state of SIR2, switching from a 12-mer state to a 14-mer state. On the other hand, binding of SIR2 stimulates the ATPase activity of HerA. Together, our study not only provides a structural basis for the functional communications between SIR2 and HerA proteins, but also unravels a novel concerted antiviral mechanism through nucleotide (NAD+ and ATP) depletion.

biochemistry↗

Predication of the Post Mining Land Use Based on Random Forest and DBSCAN

Mine reclamation is one of the most important stages of the mining activities in line with the basic principles of sustainable development. In this study, different post-mining land uses are evaluated in the Hongliulin mining area, which is located in Shen mu country of China. 145 soil samples were collected in the May,2021 by using the soil auger, and the sampling depths were 0-20 cm. The sampling points contains 45 to be reclaimed samples and 100 existing classification land use types. 14 environmental factors including soil organic matter (SOM), total nitrogen (TN) and other soil nutrients and terrain factors were extracted and calculated based on laboratory test and digital elevation map. Meanwhile, random forest classier was utilized to determine the post-mining land use based on GINI index and 14 environmental factors by using 100 existing classification land use types. 82 of 100 samples were utilized to build the model and the other 18 samples were utilized to validate the accuracy of the classification model. Density-Based Spatial Clustering of Applications with Noise (DBSCAN) techniques were utilized to determine the specific land use types in cropland, shrub and grassland. the random forest classier showed a great prediction capability, with only 1 miss-classified sample in the validation data-set, the accuracy of the classification model was 95%. Among the 45 samples to be reclaimed, 15 samples were classified into cropland, 23 samples were classified into shrub and grassland, 5 samples were classified into arbor land, 2 samples were classified into solar station. By using DBSCAN, the 58 samples classified into cropland in terms of the post-mining were separated into cluster 1 and 2, cluster 1 comprises 24 samples while cluster 2 comprises 34 samples. Among the 61 samples classified into shrubland and grassland, Cluster -1 comprises 24 samples and Cluster 0 comprise 22 samples. The results could provide technological support for land reclamation determination. The content of TN of C1 is 5 times more than C2 and 4 times more than C3. Also, the K valve of C1 column is maximum and over 0.4, which means the soil particle is relatively smaller and the soil texture of it is sandy loam. The TWI of C1 is minimum, in consideration of a positive valve of profile curvature and a negative valve of plan curvature. In terms of the 45 to be reclaimed samples, 15 samples were classified into C1, 23 samples were classified into C2, 5 samples were classified into C3, 2 samples were classified into C4. The valve of K and content of soil nutrients of the samples classified to be C1 column(C1-C) is maximum. Simultaneously, the slope steepness({degrees}) is below 5{degrees} and is perceived as gentle surface. Cluster 1 comprises 24 samples and the average content of TN, AP and SOM is 0.566g/kg, 11.93mg/kg and 19.975g/kg respectively, while Cluster 2 comprises 34 samples and the average content of TN, AP and SOM is 0.304g/kg, 3.12mg/kg and 8.36g/kg respectively. The result may contribute to the land use planning and idle land utilization strategy.

ecology↗

Integrated multi-omics data reveals the molecular subtypes and the contruction of novel signature to aid Immunotherapy

Malignant cancer exhibits a severe imbalance between the active of immune response and tolerance. And the different and connection between the establishment and deficiency of the tumor immune response is still unknown entirely. Here, we used ten clustering algorithms based on five immune cells infiltration matrix to identified two specific molecular subtypes and determine its potential clinical outcomes and immune response effect. The cluster A subtype can be called the cold inflammatory subtype, which revealed the worst prognosis. And the cluster B can be identified as hot inflammatory subtype with high activated immune-related pathways. Then we used the WGCNA algorithms and limma to confirm the driven genes between the cluster A and B. 67 genes were identified the cluster A signature genes, and based on that we used the ssgsea algorithm to quantize the two subtypes. We confirmed the high score group had high activated level of immune activity pathways and better survival rate. The tumorigenesis-associated pathways were analysed in low score group, indicating active cell proliferation may be associated with poor prognosis. An in-silico drug screen predicted the erlotinib can be an effective compound in low score group based on the lung cancer cell line. Our research confirmed that the score can worked as an effective immunotherapy index, which provide a promising therapeutic strategies on immune therapeutics for lung adenocarcinoma.

cancer biology↗

OaAEP1-mediated PNA-protein conjugation enables erasable imaging of membrane protein

Methods to efficiently and site-specifically conjugate proteins to nucleic acids could enable exciting application in bioanalytics and biotechnology. Here, we report the use of the strict protein ligase to covalently ligate a protein to a peptide nucleic acid (PNA). The rapid ligation requires only a short N-terminal GL dipeptide in target protein and a C-terminal NGL tripeptide in PNA. We demonstrate the versatility of this approach by conjugating three different types of proteins with a PNA strand. The biostable PNA strand then serves as a generic landing platform for nucleic acid hybridization. Lastly, we show the erasable imaging of EGFR on HEK293 cell membrane through toehold-mediated strand displacement. This work provides a controlled tool for precise conjugation of proteins with nucleic acids through an extremely small peptide linker and facilitates further study of membrane proteins. TOC O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=56 SRC="FIGDIR/small/467647v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@a8e3adorg.highwire.dtl.DTLVardef@1fba15borg.highwire.dtl.DTLVardef@11e606eorg.highwire.dtl.DTLVardef@14cfc49_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

CPEB2 m6A Methylation Regulates BTB Permeability via Affecting Splicing Factor SRSF5 Stability

The existence of the blood tumor barrier (BTB) severely hinders the delivery of anti-tumor drugs to gliomas, affecting the targeted therapeutic effects of drugs. Therefore, BTB selective opening has become a hot spot for glioma treatment. This study found that the up-regulated METTL3 and IGF2BP3 in GECs increase the stability of CPEB2 mRNA through m6A methylation of CPEB2 mRNA; CPEB2 binds and increases the stability of splicing factor SRSF5 mRNA; SRSF5 promotes the ETS1 exon inclusion; P51-ETS1 promotes the transcriptional expression of tight junction related proteins ZO-1, occludin and claudin-5, regulating BTB permeability. CPEB2, SRSF5 and P51-ETS1 alone or in combination can effectively enhance the role of Dox in promoting glioma cell apoptosis through BTB. The results of this study provide a new theoretical and experimental basis for the molecular regulation of BTB from the perspective of epigenetics, as well as new ideas for the comprehensive treatment of glioma.

cancer biology↗

Differential effect of ethanol intoxication on peripheral markers of cerebral injury in murine blunt TBI

Blood-based biomarkers have proven to be a reliable measure of traumatic brain injury (TBI) severity and outcome, in both murine models and patients. In particular, neuron-specific enolase (NSE) and neurofilament light (NFL) have been investigated in the clinical setting post injury. Ethanol intoxication (EI) remains a significant comorbidity in TBI, with 30-40% of patients having a positive blood alcohol level (BAC) post TBI. The effect of ethanol on blood-based biomarkers on the prognosis and diagnosis of TBI remain unclear. In this study, we investigated the effect of EI on NSE and NFL and their correlation with blood-brain barrier (BBB) integrity in a murine model of TBI. We have used ultra-sensitive single molecule array technology (SIMOA) and ELISA methods to measure NFL, NSE and Claudin-5 concentrations in plasma 3h post TBI. We showed that both NFL and NSE were increased 3h post TBI. However, ethanol blood concentrations only showed an inverse correlation with NSE, but not NFL. Claudin-5 levels were increased post injury, but no difference was detected in EI. The Claudin-5 increase post TBI was correlated with NFL, but not with NSE. Thus, the data indicate that ethanol has a confined effect on biomarker release in the bloodstream and neuronal biomarkers reflect a different pathophysiology upon TBI.

neuroscience↗

DreamAI: algorithm for the imputation of proteomics data

Deep proteomics profiling using labeled LC-MS/MS experiments has been proven to be powerful to study complex diseases. However, due to the dynamic nature of the discovery mass spectrometry, the generated data contain a substantial fraction of missing values. This poses great challenges for data analyses, as many tools, especially those for high dimensional data, cannot deal with missing values directly. To address this problem, the NCI-CPTAC Proteogenomics DREAM Challenge was carried out to develop effective imputation algorithms for labeled LC-MS/MS proteomics data through crowd learning. The final resulting algorithm, DreamAI, is based on an ensemble of six different imputation methods. The imputation accuracy of DreamAI, as measured by Pearson correlation, is about 15%-50% greater than existing tools among less abundant proteins, which are more vulnerable to be missed in proteomics data sets. This new tool notably enhances data analysis capabilities in proteomics research.

bioinformatics↗

A Reference Feature based method for Quantification and Identification of LC-MS based untargeted metabolomics

Batch inconsistency is a major problem when applying LC-MS based untargeted metabolomics in real-time analysis situation such as clinical diagnosis or health monitoring. And inefficiency of collecting MS2 is a major problem for metabolite identification. Here, we developed a reference-feature based quantification and identification strategy (RFQI). In RFQI, samples are individually profiled using a pre-fixed reference feature table. Quantification results show that RFQI improves features overlap rate and reduce variance across batches significantly in real-time-analysis mode, and can find more than 4-fold numbers of features. Besides, RFQI collects MS2 from consecutive increasing samples for metabolite identification of pre-fixed features, thus it can effectively compensate for the poor efficiency of MS2 collection in data-dependent acquisition mode. In summary, RFQI can make full advantage of consecutive increasing samples in real-time analysis situation, both for quantification and identification.

bioinformatics↗

A direct link between Prss53, hair curvature, and skeletal dysplasia

In humans, protease serine S1 family member 53 (Prss53) is highly expressed in the hair follicle, especially the inner root sheath, which is associated with hair shape according to recent genome-wide association study (GWAS) data. However, no animal evidence has indicated a link between Prss53 and hair shape to date. Here, we used CRISPR/Cas9 to generate Prss53-mutated rabbits. The homozygous (Prss53-/-) rabbits exhibited curved hair and skeletal dyskinesia with severe malformation, while the heterozygous (Prss53+/-) rabbits did not exhibit these features. The curvature features of the hair were accompanied by lesions that were generally denser and less well-defined in the cuticular septation of the hair shaft, and the compartments of the hair follicle were incomplete, as evidenced by decreased expression levels of keratinocyte differentiation genes. In addition, skeletal dysplasia, an increased lethality rate and decreased plasma calcium and serum alkaline phosphatase (ALP) levels were determined in the Prss53-/- rabbits. Furthermore, disrupted calcium metabolism, which may play a role in the hair curvature and skeletal dysplasia of Prss53+/- rabbits, was demonstrated by using high-throughput RNA sequencing data. Thus, our study confirmed for the first time that the loss of Prss53 lead to curved hair in animals and provides new insights into the crucial role of Prss53 in calcium metabolism. Author SummaryNo animal evidence has indicated a link between Prss53 and hair shape to date. The Prss53-/- rabbits exhibited curved hair and skeletal dyskinesia. The disrupted calcium metabolism may play a role in the hair curvature and skeletal dysplasia of Prss53+/- rabbits.

genomics↗

Hypoxic Training Increases the Concentration of Serum Irisin and Reduces Weight in Diet-induced Obese Rats

Irisin promotes browning of white fat, improves energy metabolism, and-weight loss. In this study, we investigated the effects of different oxygen concentrations during hypoxic training on the serum irisin and the PGC-1(peroxisome proliferator-activated receptor gamma coactivator 1-alpha)-FNDC5(fibronectin type III domain containing 5)-UCPl(uncoupling protein 1) signaling pathway in the skeletal muscle of obese rats. Male Sprague-Dawley Obese rats (n=80) were randomly divided into 8 groups as follows: the control group (group A, n=10); the endurance exercise group (AE group, n=10), which involved animal treadmill training at slope 0{degrees}, 20 m/min, 40 min/d, and 5 d/w; the 16.3% hypoxia exposure group (group B, n=10), 13.3% hypoxia exposure group (group C, n=10), and 11.3% hypoxia exposure group (group D, n=10), which were exposed to a low oxygen environment with oxygen concentrations of 16.3%, 13.3%, and 11.3%, respectively, for 12 h/d; and the 16.3% hypoxic training group (BE group, n=10), 13.3% hypoxic training group (CE group, n=10), and 11.3% hypoxic training group (DE group, n=10) with animal treadmill training during hypoxia exposure. After 8 weeks, the serum irisin concentrations in the AE, BE, CE, and DE groups were significantly higher than that in the A group (p<0.05). Hypoxia exposure and hypoxic training at the three different concentrations significantly increased PGC-1 and FNDC5 gene expression in the skeletal muscle. The PGC-1 and FNDC5 protein contents were significantly higher in the skeletal muscle of the obese rats in the C, AE, and DE groups than those in group A (p<0.05). UCP1 protein expression was significantly higher in groups C, CE, D, and DE than in group A (p<0.05). To conclude, training at oxygen concentrations of 13.3% and 11.3% significantly increased the serum irisin level, and 11.3% hypoxic training enhanced the effects of the PGC-l-Irisin-UCP1 signaling pathway in skeletal muscle.

biochemistry↗

Combined use of procalcitonin and C-reactive protein levels can help clinically diagnose bacterial co-infections in children infected with H1N1 influenza

ObjectiveThis study evaluated the diagnostic value of measuring the levels of procalcitonin (PCT) and C-reactive protein (CRP) to differentiate children co-infected with H1N1 influenza and bacteria from children infected with H1N1 influenza alone and to provide a reliable clinical diagnostic support system with improved accuracy and precision control.\n\nMethodsConsecutive patients (children aged <5 years) with laboratory-confirmed H1N1 influenza who were hospitalized or received outpatient care from a tertiary-care hospital in Canton, China between 1 January 2012 and 1 September 2017 were included in the present study. Laboratory results, including serum PCT and CRP levels, white blood cell (WBC) counts, and blood and sputum cultures, were analyzed. The predictive value of the combination of biomarkers versus either biomarker alone for diagnosing bacterial co-infections was evaluated using logistic regression analyses.\n\nResultsOf 3180 children infected with H1N1 influenza, 226 (7.1%) met the bacterial co-infection criteria, with Staphylococcus pneumoniae being the most commonly identified bacteria (36.28%). Significantly higher PCT (1.46 vs 0.21 ng/ml, p<0.001) and CRP (19.20 vs 5.10 mg/dl, p<0.001) levels were detected in the bacterial co-infection group than in the H1N1 infection only group. Multivariate logistic regression analysis showed independent associations between PCT (odds ratio [OR]: 1.73, 95% confidence interval [CI],1.34-2.42, p<0.001) and CRP levels (OR:1.09, 95% CI, 1.06-1.13, p<0.001) with bacterial co-infections. Using PCT or CRP levels alone, the areas under the curves (AUCs) for predicting bacterial co-infections were 0.801 (95%CI, 0.772-0.855) and 0.762 (95%CI, 0.722-0.803), respectively. Using a combination of PCT and CRP, the logistic regression-based model, Logit(P)=-1.912+0.546 PCT+0.087 CRP, showed significantly greater accuracy (AUC: 0.893, 95%CI: 0.842-0.934) than did the other three biomarkers.\n\nConclusionsThe combination of PCT and CRP levels could provide a useful method of distinguishing bacterial co-infections from an H1N1 influenza infection alone in children during the early disease phase. After further validation, the flexible model derived here could assist clinicians in decision-making processes.

microbiology↗