Biology subjects

Jiang, X.

Publications and source records attributed to Jiang, X..

At least 415 records · Page 23Linked to original sources

bioRxiv2019

Sequencing and comparative analysis of three Chlorella genomes provide insights into strain-specific adaptation to wastewater

Microalgal Chlorella has been demonstrated to process wastewater efficiently from piggery industry, yet optimization through genetic engineering of such a bio-treatment is currently challenging, largely due to the limited data and knowledge in genomics. In this study, we first investigated the differential growth rates among three wastewater-processing Chlorella strains: Chlorella sorokiniana BD09, Chlorella sorokiniana BD08 and Chlorella sp. Dachan, and the previously published Chlorella sorokiniana UTEX 1602, showing us that BD09 maintains the best tolerance in synthetic wastewater. We then performed genome sequencing and analysis, resulting in a high-quality assembly for each genome with scaffold N50 >2 Mb and genomic completeness [≥] 91%, as well as genome annotation with 9,668, 10,240, 9,821 high-confidence gene models predicted for BD09, BD08, and Dachan, respectively. Comparative genomics study unravels that metabolic pathways, which are involved in nitrogen and phosphorus assimilation, were enriched in the faster-growing strains. We found that gene structural variation and genomic rearrangement might contribute to differential capabilities in wastewater tolerance among the strains, as indicated by gene copy number variation, domain reshuffling of orthologs involved, as well as a [~]1 Mb-length chromosomal inversion we observed in BD08 and Dachan. In addition, we speculated that an associated bacterium, Microbacterium chocolatum, which was identified within Dachan, play a possible role in synergizing nutrient removal. Our three newly sequenced Chlorella genomes provide a fundamental foundation to understand the molecular basis of abiotic stress tolerance in wastewater treatment, which is essential for future genetic engineering and strain improvement.

genomics↗

bioRxiv2019

Powerful solution for experimental cerebral malaria treatment: artesunate and tetramethylpyrazine

BackgroundCerebral malaria (CM) is a kind of serious neurological complication caused by the acute Plasmodium falciparum infection. About 300000 patients including children under 5 years old died from this disease every year. Even intravenous artesunate (Art) is employed as the most effictive drug in the treatment of CM, high incidence of death and neurological sequelae are still inevitable. Therefore, we assessed the combination of Art and tetramethylpyrazine (TMP), to treat experimental CM (ECM) in C57BL/6 mice infected with Plasmodium berghei ANKA (PbA). A non-biased whole brain quantitative proteomic analysis was also conducted to get some insight of the mechanism of the combinational treatment.\n\nResultsTreatment of (ECM)-C57BL/6 mice with the combination of Art and TMP increased the survival, improved clinical signs and prevented neurological manifestations. These effects were related to reduction of parasitised red blood cells (pRBC) adhesion, sequestration, maintaining brain microvascular integrity, increasing nerve growth factor, neurotrophin levels, and alleviating hippocampal neuronal damage and astrocyte activation. The pharmacological effects of Art-TMP combination therapy were analyzed by ECM mice brain proteomic function enrichment. Based on an isobaric tag for relative and absolute quantitation (iTRAQ) fold-change of 1.2 (P-value < 0.05), 217 down-regulated and 177 up-regulated proteins were identified, presenting a significantly altered proteome profile of the combined Art and TMP group as compared to the group treated with Art or TMP alone. These results suggested that the Art-TMP combination could be used as a powerful solution for CM and its neurologic damage.\n\nConclusionsAn effictive therapy for CM with low mortality rate and protect against ECM-induced neurocognitive impairment has been proposed through the combination of Art and TMP, which can provide an effective adjuvant treatment in the clinic. iTRAQ proteomics provide a resource for further mechanistic studies to examine the synergistic effects of Art and TMP and their potential to serve as an adjunctive treatment method and intervention targets.\n\nAuthor SummaryCerebral malaria (CM) is the most serious neurological complication caused by Plasmodium falciparum infection. Even after antimalarial treatment, severe neurological sequelae still exist. We used tetramethylpyrazine (TMP), the main ingredient of the traditional Chinese medicine Chuanxiong, and artesunate (Art) as a combination of drugs. We found that Art-TMP combination could improve the clinical symptoms of CM and protect the nervous system. At the same time, proteomics was used to analyze the protective mechanism of Art-TMP combination administration on ECM mice. This study suggests that the combination of Art and TMP may be used as an adjuvant therapy for clinical CM and iTRAQ proteomics provides resources for further study of Art-TMP combination and provides potential prognostic biomarkers for this therapeutic intervention.

pathology↗

bioRxiv2019

TCR repertoire analysis reveals effector memory T cells differentiation into Th17 cells in rheumatoid arthritis

The pathogenesis of rheumatoid arthritis (RA), a systemic autoimmune disease characterized by autoreactive T-cell accumulation and pro-inflammatory cytokine overproduction, is unclear. Systematically addressing T-cell receptor (TCR) repertoires of different CD4+ T-cell subsets could help understand RA pathogenesis. Here, peripheral CD4+ T cells from treatment-naive RA patients and healthy controls were sorted into seven subsets including naive, effector, central memory, effector memory (EMT), Th1, Th17, and regulatory T cells. T-cell receptor {beta} chain repertoires were then analyzed by next-generation sequencing. We identified T-cell clonal expansion in EMT and Th17 cells, with highly similar TCR repertoires between them. Ex vivo experiments demonstrated the preferred differentiation from EMT to Th17 cells in RA. Moreover, TCR diversity in subsets including Th17 was negatively correlated with RA disease activity indices such as C-reactive protein and erythrocyte sedimentation rate. Thus, shared and abnormally expanded EMT and Th17 TCR repertoires might be pivotal for RA pathogenesis.

immunology↗

bioRxiv2019

Genomic landscape of the global oak phylogeny

O_LIThe tree of life is highly reticulate, with the history of population divergence buried amongst phylogenies deriving from introgression and lineage sorting. In this study, we test the hypothesis that there are regions of the oak (Quercus, Fagaceae) genome that are broadly informative about phylogeny and investigate global patterns of oak diversity.\nC_LIO_LIWe utilize fossil data and restriction-site associated DNA sequencing (RAD-seq) for 632 individuals representing ca. 250 oak species to infer a time-calibrated phylogeny of the worlds oaks. We use reversible-jump MCMC to reconstruct shifts in lineage diversification rates, accounting for among-clade sampling biases. We then map the > 20,000 RAD-seq loci back to a recently published oak genome and investigate genomic distribution of introgression and phylogenetic support across the phylogeny.\nC_LIO_LIOak lineages have diversified among geographic regions, followed by ecological divergence within regions, in the Americas and Eurasia. Roughly 60% of oak diversity traces back to four clades that experienced increases in net diversification due to climatic transitions or ecological opportunity.\nC_LIO_LIThe support we find for the phylogeny contrasts with high genomic heterogeneity in phylogenetic signal and introgression. Oaks are phylogenomic mosaics, and their diversity may in fact depend on the gene flow that shapes the oak genome.\nC_LI

evolutionary biology↗

bioRxiv2019

Interaction of Hippocampal Ripples and Cortical Slow Waves Leads to Coordinated Large-Scale Sleep Rhythm

The dialogue between cortex and hippocampus is known to be crucial for sleep dependent consolidation of long lasting memories. During slow wave sleep memory replay depends on slow oscillation (SO) and spindles in the (neo)cortex and sharp wave-ripple complexes (SWR) in the hippocampus, however, the mechanisms underlying interaction of these rhythms are poorly understood. Here, we examined the interaction between cortical SOs and hippocampal SWRs in a computational model of the hippocampo-cortico-thalamic network and compared the results with human intracranial recordings during sleep. We observed that ripple occurrence peaked following the onset of SO (Down-to-Up-state transition) and that cortical input to hippocampus was crucial to maintain this relationship. Ripples influenced the spatiotemporal structure of cortical SO and duration of the Up/Down-states. In particular, ripples were capable of synchronizing Up-to-Down state transition events across the cortical network. Slow waves had a tendency to initiate at cortical locations receiving hippocampal ripples, and these \"initiators\" were able to influence sequential reactivation within cortical Up states. We concluded that during slow wave sleep, hippocampus and neocortex maintain a complex interaction, where SOs bias the onset of ripples, while ripples influence the spatiotemporal pattern of SOs.

neuroscience↗

bioRxiv2019

Geographic Patterns of Bacterioplankton among Lakes of the Middle and Lower Reaches of the Yangtze River Basin, China

In aquatic ecosystems, microbial biogeography research is critical for unveiling the mechanisms of microbial community succession. However, little is known about the microbial biogeography among interconnected lakes. To address this deficit, we used high-throughput sequencing to explore geographic patterns and the relative importance of ecological processes that shape these patterns in abundant and rare bacterial subcommunities from 25 lakes across the middle and lower reaches of Yangtze River basin (MLYB, located in southeast China), where most of the lakes are interconnected by river networks. We found that there were significant differences in both abundant and rare bacterial subcommunities between the two lake groups that were far from each other, while were no difference among the nearby lakes in each group. Both abundant and rare bacteria followed a strong distance-decay relationship, especially for rare bacteria. These findings suggest that although the interconnectivity between lakes breaks the geographical isolation of bacteria, the dispersal capability of bacterial taxa was still limited by geographic distance. We also found that although deterministic processes and stochastic processes together drive the bacterial subcommunities assembly, the stochastic processes (based on adjusted R2 in redundancy analysis) exhibited a greater influence on bacterial subcommunities. Our results implied that bacterial dispersal among interconnected lakes was more stochastically. ImportanceUnraveling the relative importance of ecological processes regulating microbial community structure is a central goal in microbial ecology. In aquatic ecosystems, microbial communities often occur in spatially structured habitats, where connectivity directly affects dispersal and metacommunity processes. Recent theoretical work suggests that directional dispersal among connected habitats leads to higher variability in local diversity and among-community composition. However, the study of microbial biogeography among natural interconnected habitats is still lacking. The findings of this study revealed interesting phenomena of microbial biogeography among natural interconnected habitats, suggested that the high interconnectivity reduced the spatial heterogeneity of bacteria, and caused the dispersal of bacteria to be more stochastically. This study has provided a deeper understanding of the biogeographic patterns of rare and abundant bacterial taxa and their determined processes among interconnected aquatic habitats.

microbiology↗

bioRxiv2019

Cell type composition and circuit organization of neocortical radial clones

SummaryExcitatory neurons arising from a common progenitor establish radially-oriented clonal units in the neocortex which have been proposed to serve as elementary information processing modules. To characterize the cell types and circuit diagram within these clonal units, we performed single-cell RNA-sequencing and multi-cell patch clamp recordings of neurons derived from Nestin-positive progenitors. We found that radial clones do not appear to be fate-restricted, but instead individual clones are composed of a random sampling of the transcriptomic cell types present in a particular cortical area. The effect of lineage on synaptic connectivity depends on the type of connection tested: pairs of clonally related neurons were more likely to be connected vertically, across cortical layers, but not laterally within the same layer, compared to unrelated pairs. We propose that integration of vertical input from related neurons with lateral input from unrelated neurons may represent a developmentally programmed motif for assembling neocortical circuits.

neuroscience↗

bioRxiv2019

Fine-mapping of 150 breast cancer risk regions identifies 178 high confidence target genes

Genome-wide association studies have identified breast cancer risk variants in over 150 genomic regions, but the mechanisms underlying risk remain largely unknown. These regions were explored by combining association analysis with in silico genomic feature annotations. We defined 205 independent risk-associated signals with the set of credible causal variants (CCVs) in each one. In parallel, we used a Bayesian approach (PAINTOR) that combines genetic association, linkage disequilibrium, and enriched genomic features to determine variants with high posterior probabilities (HPPs) of being causal. Potentially causal variants were significantly over-represented in active gene regulatory regions and transcription factor binding sites. We applied our INQUSIT pipeline for prioritizing genes as targets of potentially causal variants, using gene expression (eQTL), chromatin interaction and functional annotations. Known cancer drivers, transcription factors and genes in the developmental, apoptosis, immune system and DNA integrity checkpoint gene ontology pathways, were over-represented among the 178 highest confidence target genes.

genetics↗

bioRxiv2019

Molecular basis of P major human rotavirus VP8* domain interactions with histo-blood group antigens

Initial cell attachment of rotavirus (RV) to specific cell surface glycans, which is the essential first step in RV infection, is mediated by the VP8* domain of the spike protein VP4. Recently, human histo-blood group antigens (HBGAs) have been identified as ligands or receptors for human RV strains. RV strains in the P[4] and P[8] genotypes of the P[II] genogroup share common recognition of the Lewis b and H type 1 antigens, while P[6], which is one of the other genotypes in P[II], only recognizes the H type 1 antigen. The molecular basis of receptor recognition by the major human P[8] RVs remains unknown due to lack of experimental structural information. Here, we used nuclear magnetic resonance (NMR) titration experiments and NMR-derived high ambiguity driven docking (HADDOCK) methods to elucidate the molecular basis for P[8] VP8* recognition of the Leb and type 1 HBGAs and for P[6] recognition of H type 1 HBGAs. Unlike P[6] VP8* that recognizes H type 1 HGBAs in a binding surface composed of an -helix and a {beta}-sheet, referred as \"{beta} binding domain\", the P[8] VP8* binds the type 1 HBGAs requiring the presence of the Lewis epitope in a previously undescribed pocket formed by two {beta}-sheets, referred as \"{beta}{beta} binding domain\". The observation that P[6] and P[8] VP8* domains recognize different glycan structures at distinct binding sites supports the hypothesis that RV evolution is driven, at least in part, by selective pressure driven adaptation to HBGA structural diversity of their natural hosts living in the world. Recognition of the role that HBGAs play in driving RV evolution is essential to understanding RV diversity, host ranges, disease burden and zoonosis and to developing strategies to improve vaccines against RV infections.\n\nAuthor summaryRotaviruses (RV)s are the main cause of severe diarrhea in humans and animals. Significant advances in understanding RV diversity, evolution and epidemiology have been made after discovering that RVs recognize histo-blood group antigens (HBGAs) as host cell receptors. While different RV strains are known to have distinct binding preferences for HBGA receptors, the molecular basis in controlling strain-specific host ranges remains unclear. In this study, we used solution nuclear magnetic resonance to determine the molecular level details for interactions of the human P[8] and P[6] RV VP8* domains with their HBGA receptors. The distinct binding patterns observed between these major human RVs and their respective receptor ligands provides insight into the evolutionary relationships between different P[II] genotypes that ultimately determine host ranges, disease burden, zoonosis and epidemiology, which may impact future strategies for vaccine development against RVs.

biochemistry↗

bioRxiv2018

Neocortical layer 4 in adult mouse differs in major cell types and circuit organization between primary sensory areas

Layer 4 (L4) of mammalian neocortex plays a crucial role in cortical information processing, yet a complete census of its cell types and connectivity remains elusive. Using whole-cell recordings with morphological recovery, we identified one major excitatory and seven inhibitory types of neurons in L4 of adult mouse visual cortex (V1). Nearly all excitatory neurons were pyramidal and almost all Somatostatin-positive (SOM+) neurons were Martinotti cells. In contrast, in somatosensory cortex (S1), excitatory cells were mostly stellate and SOM+ cells were non-Martinotti. These morphologically distinct SOM+ interneurons correspond to different transcriptomic cell types and are differentially integrated into the local circuit with only S1 cells receiving local excitatory input. Our results challenge the classical view of a canonical microcircuit repeated through the neocortex. Instead we propose that cell-type specific circuit motifs, such as the Martinotti/pyramidal pair, are optionally used across the cortex as building blocks to assemble cortical circuits.

neuroscience↗

bioRxiv2018

Rapid functional divergence of grass duplicate genes

Gene duplication has played an important role in the evolution and domestication of flowering plants. Yet little is known about how plant duplicate genes evolve and are retained over long timescales, particularly those arising from small-scale duplication (SSD) rather than whole-genome duplication (WGD) events. Here we address this question in the Poaceae (grass) family by analyzing gene expression data from nine tissues of Brachypodium distachyon, Oryza sativa japonica (rice), and Sorghum bicolor (sorghum). Consistent with theoretical predictions, expression profiles of most grass genes are conserved after SSD, suggesting that functional conservation is the primary outcome of SSD in grasses. However, we also uncover support for widespread functional divergence, much of which occurs asymmetrically via the process of neofunctionalization. Moreover, neofunctionalization preferentially targets younger (child) duplicate gene copies, is associated with RNA-mediated duplication, and occurs quickly after duplication. Further analysis reveals that functional divergence of SSD-derived genes is positively correlated with both sequence divergence and tissue specificity in all three grass species, and particularly with anther expression in B. distachyon. Therefore, as found in many animal species, SSD-derived grass genes often undergo rapid functional divergence that may be driven by natural selection on male-specific phenotypes.

evolutionary biology↗

bioRxiv2018

Biosynthetic intermediates of the enterobacterial common antigen overcome outer membrane lipid dyshomeostasis in Escherichia coli

The outer membrane (OM) is an essential component of the Gram-negative bacterial envelope that protects cells against external threats. To maintain a functional OM, cells require distinct mechanisms to ensure balance of proteins and lipids in the membrane. Mutations in OM biogenesis and/or homeostasis pathways often result in permeability defects, but how molecular changes in the OM affect barrier function is unclear. Here, we seek potential mechanism(s) that can alleviate permeability defects in Escherichia coli cells lacking the Tol-Pal complex, which accumulate excess PLs in the OM. We identify mutations in enterobacterial common antigen (ECA) biosynthesis that re-establish OM barrier function against large hydrophilic molecules, yet did not restore lipid homeostasis. Furthermore, we demonstrate that build-up of biosynthetic intermediates, but not loss of ECA itself, contributes to the rescue. This suppression of OM phenotypes is unrelated to known effects that accumulation of ECA intermediates have on the cell wall. Finally, we reveal that an unusual diacylglycerol pyrophosphoryl-linked lipid species also accumulates in ECA mutants, and might play a role in the rescue phenotype. Our work provides insights into how OM barrier function can be restored independent of lipid homeostasis, and highlights previously unappreciated effects of ECA-related species in OM biology.

microbiology↗

bioRxiv2018

The LIM-Only Protein FHL2 is Involved in Autophagy to Regulate the Development of Skeletal Muscle

Four and a half LIM domain protein 2 (FHL2) is a LIM domain protein expressed in muscle tissue whose deletion is causative of myopathies. Although FHL2 has a confirmed important role in muscle development, its autophagy-related function in muscle differentiation has not been fully determined. To explore the role of FHL2 in autophagy-related muscle regulation, FHL2-silenced and -overexpressing C2C12 mouse cells were examined. Immunofluorescence and co-immunoprecipitation assay findings showed that FHL2 silencing reduced LC3- protein expression and the amount of LC3 that co-immunoprecipitated with FHL2, indicating that FHL2 interacts with LC3- in the formation of autophagosomes. Moreover, the expression of muscle development marker genes such as MyoD1 and MyoG was lower in FHL2-silenced C2C12 cells but not in FHL2-overexpressing C2C12 cells. Electron microscopy analysis revealed large empty autophagosomes in FHL2-silenced myoblasts, while flow cytometry suggested that FHL2 silencing made cells more vulnerable to staurosporine-induced cell death. In conclusion, we propose that FHL2 interacts with LC3- in autophagosome formation to regulate the development of muscle cells.

molecular biology↗

bioRxiv2018

Shared heritability and functional enrichment across six solid cancers

Quantifying the genetic correlation between cancers can provide important insights into the mechanisms driving cancer etiology. Using genome-wide association study summary statistics across six cancer types based on a total of 296,215 cases and 301,319 controls of European ancestry, we estimate the pair-wise genetic correlations between breast, colorectal, head/neck, lung, ovary and prostate cancer, and between cancers and 38 other diseases. We observed statistically significant genetic correlations between lung and head/neck cancer (rg=0.57, p=4.6x10-8), breast and ovarian cancer (rg=0.24, p=7x10-5), breast and lung cancer (rg=0.18, p=1.5x10-6) and breast and colorectal cancer (rg=0.15, p=1.1x10-4). We also found that multiple cancers are genetically correlated with non-cancer traits including smoking, psychiatric diseases and metabolic characteristics. Functional enrichment analysis revealed a significant excess contribution of conserved and regulatory regions to cancer heritability. Our comprehensive analysis of cross-cancer heritability suggests that solid tumors arising across tissues share in part a common germline genetic basis.

genomics↗

bioRxiv2018

Virus infection might cause cells producing black swimming dots

Black swimming dots (BSDs) are nanoscale dot-like contaminants in the dishes of cultured cells. Until now, the identity of BSDs has not yet been determined. In our recent study, we proposed that BSDs per se are nonliving inorganic nanoparticles yet should derive from the cells infected with an unidentified airborne pathogen. We showed the pathogen possessed the characteristics including airborne transmitted, cell-dependent, insensitive to antibiotics, filterable through 0.1 m membrane. These properties prompt us to speculate that the pathogen of BSDs might be one kind of unidentified virus-like organism. However, the imperfection is that we have not isolated this putative pathogen from BSD+ samples [1]. Here, we report a further investigation of finding the virus-like pathogen in the serum and tissue extracts from BSD+ mice. Most importantly, this virus-like pathogen can be reisolated from the BSD+ extracts-inoculated, diseased BSD- cells.\n\nTo de ...

cell biology↗

bioRxiv2018

The design, analysis and application of mouse clinical trials in oncology drug development

Mouse clinical trials (MCTs) are becoming widely used in pre-clinical oncology drug development. In this study, we provide some general guidelines on the design, analysis and application of MCTs. We first established empirical quantitative relationships between mouse number and measurement accuracy for both categorical and continuous efficacy endpoints, and showed that more mice are needed to achieve given accuracy for syngeneic models than for PDXs and CDXs. There is considerable disagreement between categorical methods on calling drug responses as objective response, indicating limitations of such approaches. We then introduced linear mixed models, or LMMs, to describe MCTs as clustered longitudinal studies, which explicitly model growth and drug response heterogeneities across mouse models and among mice within a mouse model. Several case studies were used to demonstrate the advantages of LMMs in discovering biomarkers and exploring a drugs mechanism of action. We also introduced the additive frailty models to perform survival analysis on MCTs, which more accurately estimate hazard ratios by modeling the clustered population structures in MCTs. We performed computational simulations for LMMs and frailty models to generate statistical power curves, and showed that statistical power is close for designs with similar total number of mice at given drug efficacy. Finally, we explained how MCTs can explain discrepant results in clinical trials, hence, MCTs are more than preclinical versions of clinical trials but possess their unique values. Results in the report will make MCTs a better tool for oncology drug development.

cancer biology↗

bioRxiv2018

Metagenomics Analyses of Cellulose and Volatile Fatty Acids Metabolism by Microorganisms in the Cow Rumen

The purpose of this study was to evaluate the effects of different forage-to-concentrate (F:C) ratios (7:3 high-forage, 3:7 high-concentrate) on rumen microflora and fiber degradation mechanism. Compared with the high-concentrate (HC) group, the high-forage(HF) group showed improved fiber degradation and a sustained high level of carboxymethyl cellulose (CMCase), {beta}-glucosidase and {beta}-xylosidase activities, but the total VFAs decreased. Among bacteria at the family level, Lachnospiraceae and Succinivibrionaceae in HF groups were 2-fold and 4-fold more abundant than in the HC group, respectively. A KEGG analysis revealed that succinate-CoA synthetase (EC: 6.2.1.5) and propionate-CoA transferase (EC: 2.8.3.1) leading directly to propionate production were more abundant in HC group. Conversely, butyryl-CoA dehydrogenase (EC: 1.3.8.1) was directly related to butyrate production and was higher in the HF group. A gene expression analysis showed that the relative content of Fibrobacter succinogenes and Butyrivibrio fibrisolvens was higher in the HF group and contributed more to fiber degradation and VFA production. Prevotella ruminicola, Selenomonas ruminantium, and Veillonella alkalescens contributed more to starch degradation and propionate production, which relative content was higher in the HC group. This research gave a further explanation of the fiber degradation parameters and microbiota under different F:C ration. The fiber-degrading bacteria in the roughage group have a high content level, and the corresponding cellulase activity is also high. These results supported the potential of diets for microbial manipulation, which can increase feed digestibility and explored new fibrinolytic bacteria.\n\nIMPORTANCEThe forage of the cows feed occupies a large proportion. The shortage of high-quality forage in cow breeding has become an important factor limiting the Chinas dairy industry. The effective measure is to improve the utilization of low-quality forage. Based on traditional nutrient metabolism, the reasons for the effects of roughage on the growth and metabolism of dairy cows can be explored, but the metabolic mechanism is not well analyzed, and the further utilization of forage is also limited. Metagenomics has proven to be a powerful tool for studying rumen microbial structures and gene function. This experiment used metagenomics to study the metabolism of cellulose and volatile acids in the rumen. Our research showed that different forage-to-concentrate shifted the composition of microorganisms and the activity of enzymes, resulting in different metabolic pathways of volatile fatty acids. This work provides a background for microbial community composition and further use of forage.

microbiology↗

bioRxiv2018

The Histone Demethylase KDM4D Promotes Hepatic Fibrogenesis by Modulating Toll-Like Receptor 4 Signaling Pathway

Accumulating evidence has revealed the pivotal role of epigenetic regulation in the pathogenesis of liver disease. However, the epigenetic mechanism that accounts for hepatic stellate cells (HSCs) activation in liver fibrosis remains largely unknown. In this study, primary HSCs were used to screen the differentially expressed histone H3 lysine methyltransferases and demethylases during HSC activation. KDM4D was identified as a remarkable up-regulated histone H3 demethylase during HSC activation. The overexpression profile of KDM4D was further confirmed in three fibrosis animal models and human fibrotic liver tissues. In vitro genetic silencing of Kdm4d impaired the collagen gel contraction and migration capacity of primary HSCs. In established CCl4-induced mice model, Kdm4d knockdown inhibited fibrosis progression, and promoted fibrosis reversal, with enhanced thinning and splitting of fibrotic septa, as well as a dramatic decrease in collagen area. Whole gene transcriptome analysis showed the regulatory role of KDM4D in Toll-Like Receptor (TLR) signaling pathway. Mechanistically, KDM4D catalyzed histone 3 on lysine 9 (H3K9) di-, and tri-demethylation, which promoted TLR4 expression, and subsequently prompted liver fibrogenesis by activating NF-{kappa}B signaling pathways. KDM4D facilitates TLR4 transcription through demethylation of H3K9, thus activating TLR4/NF-{kappa}B signaling pathways in HSCs, contributing to HSC activation and collagen crosslinking, further, hepatic fibrosis progression.

cell biology↗