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Chen, L.

Publications and source records attributed to Chen, L..

At least 865 records · Page 48Linked to original sources

TAZ inhibits GR and coordinates hepatic glucose homeostasis in normal physiologic states

The elucidation of the mechanisms whereby the liver maintains glucose homeostasis is crucial for the understanding of physiologic and pathologic states. Here, we show a novel role of hepatic transcriptional co-activator with PDZ-binding motif (TAZ) in the inhibition of glucocorticoid receptor (GR). TAZ interacts via its WW domain with the ligand-binding domain of GR to limit the binding of GR to gluconeogenic gene promoters. Therefore, liver-specific TAZ knockout mice show increases in glucose production and blood glucose concentration. Conversely, the overexpression of TAZ in mouse liver reduces the binding of GR to gluconeogenic gene promoters and glucose production. Thus, our findings demonstrate distinct roles of the hippo pathway effector proteins yes-associated protein 1 (YAP) and TAZ in liver physiology: while deletion of hepatic YAP has little effect on glucose homeostasis, hepatic TAZ protein expression decreases upon fasting and coordinates gluconeogenesis in response to physiologic fasting and feeding.

biochemistry↗

A systematic dissection of human primary osteoblasts in vivo at single-cell resolution

Osteoblasts are multifunctional bone cells, which play essential roles in bone formation, angiogenesis regulation, as well as maintenance of hematopoiesis. Although both in vivo and in vitro studies on mice have identified several potential osteoblast subtypes based on their different transition stages or biological responses to external stimuli, the categorization of primary osteoblast subtypes in vivo in humans has not yet been achieved. Here, we used single-cell RNA sequencing (scRNA-seq) to perform a systematic cellular taxonomy dissection of freshly isolated human osteoblasts. Based on the gene expression patterns and cell lineage reconstruction, we identified three distinct cell clusters including preosteoblasts, mature osteoblasts, and an undetermined rare osteoblast subpopulation. This novel subtype was mainly characterized by the nuclear receptor subfamily 4 group A member 1 and 2 (NR4A1 and NR4A2), and its existence was confirmed by immunofluorescence staining. Trajectory inference analysis suggested that the undetermined cluster, together with the preosteoblasts, are involved in the regulation of osteoblastogenesis and also give rise to mature osteoblasts. Investigation of the biological processes and signaling pathways enriched in each subpopulation revealed that in addition to bone formation, preosteoblasts and undetermined osteoblasts may also regulate both angiogenesis and hemopoiesis. Finally, we demonstrated that there are systematic differences between the transcriptional profiles of human osteoblasts in vivo and mouse osteoblasts both in vivo and in vitro, highlighting the necessity for studying bone physiological processes in humans rather than solely relying on mouse models. Our findings provide novel insights into the cellular heterogeneity and potential biological functions of human primary osteoblasts at the single-cell level, which is an important and necessary step to further dissect the biological roles of osteoblasts in bone metabolism under various (patho-) physiological conditions.

bioinformatics↗

Histone deacetylase inhibitors butyrate and bufexamac inhibit de novo HIV-1 infection in CD4 T-cells

While current combined antiretroviral therapy (cART) allows control of HIV replication in patients and effectively suppresses plasma viral loads, it is unable to target latent reservoirs, which are responsible for virus rebound after discontinuation of therapy. Several histone deacetylase inhibitors (HDACIs) have been shown to target reservoirs and to reactivate latent HIV. While this effect is highly desired, it carries the risk that HIV-1 may be reactivated in tissue compartments were cART concentrations are insufficient and thus leading to de novo infections in this sites. To address this concern, we evaluated the effect of different HDACIs for their ability to reverse HIV latency and to modulate de novo infections. Two of the inhibitors, sodium butyrate and bufexamac, significantly inhibited de novo HIV-1 infection in activated CD4+ T-cells. Transcriptome and proteome analysis indicated global changes of protein abundancies, exhibited reduced proliferation of CD4+ T-cells, and revealed butyrate-based proteasomal degradation of EP300, an important factor for HIV-1 replication. Our results disclose new potential treatment strategies and minimizes the concern of potential reservoir reseeding by HDACIs.

microbiology↗

Discovery of isoplumbagin as a novel NQO1 substrate and anti-cancer quinone

Isoplumbagin (5-hydroxy-3-methyl-1,4-naphthoquinone), a naturally occurring quinone from Lawsonia inermis and Plumbago europaea, that has been reported to have anti-inflammatory and anti-microbial activity. Inflammation has long been implicated in cancer progression. In this study, we examined the anti-cancer effect of chemically-synthesized isoplumbagin. Our results revealed that isoplumbagin treatment suppressed cell viability and invasion of highly invasive oral squamous cell carcinoma (OSCC) OC3-IV2 cells, glioblastoma U87 cells, non-small cell lung carcinoma H1299 cells, prostate cancer PC3 cells, and cervical cancer Hela cells by using MTT and Boyden chamber assays. In vivo studies demonstrate the inhibitory effect of 2 mg/kg isoplumbagin on the growth of orthotopic xenograft tumors derived from OSCC cells. Mechanistically, isoplumbagin exerts its cytotoxic effect through acting as a substrate of NAD(P)H quinone dehydrogenase 1 (NQO1) to generate hydroquinone, which reverses mitochondrial fission phenotype, reduces mitochondrial complex IV activity and thus compromises mitochondrial function. Collectively, this work reveals an anti-cancer activity of isoplumbagin mainly through modulating mitochondrial dynamics and function. Chemical compounds: Isoplumbagin (PubChem CID: 375105)

pharmacology and toxicology↗

Transient high glucose causes delayed wound healing by the DNMT1-mediated Ang-1/NF-κB pathway

The progression of diabetic complications does not halt despite termination of hyperglycemia, suggesting a "metabolic memory" phenomenon. However, whether metabolic memory exists in and affects the healing of diabetic wounds, as well as the underlying molecular mechanisms, remain unclear. In this study, we found that wound healing was delayed and angiogenesis was decreased in diabetic mice, despite normalization of glycemic control. Thus, we hypothesized that transient hyperglycemic spikes may be a risk factor for diabetic wound healing. We showed that transient hyperglycemia caused persistent damage to the vascular endothelium. Transient hyperglycemia directly upregulated DNMT1 expression, leading to the hypermethylation of Ang-1 and reduced Ang-1 expression, which, in turn, induced long-lasting activation of nuclear factor (NF)-{kappa}B and subsequent endothelial dysfunction. An in vivo study further showed that inhibition of DNMT1 promoted angiogenesis and accelerated diabetic wound healing by regulating the Ang-1/NF-{kappa}B signaling pathway. These results highlight the dramatic and long-lasting effects of transient hyperglycemic spikes on wound healing and suggest that DNMT1 is a novel target for diabetic vascular complications.

cell biology↗

Reference-free and de novo Identification of Circular RNAs

BackgroundEarly studies have unveiled multiple regulatory functions of circular RNAs (circRNAs); however, accurate detection and quantification of circRNAs, especially in understudied organisms, is unsolved yet. ResultsIn this study, we developed a new reference-free method, namely Cirit, to de novo detect circRNAs with sequence support from the next generation sequencing (NGS) transcriptome. The Cirit showed remarkable performance in accurate detection and quantification of circRNAs via comparing with current methods from different aspects. Using Cirit, we detected 28,813 nonredundant human circRNAs from 91 transcriptome datasets, as well as 2,385 circRNAs from four understudied organisms. Subsequent analyses found that the majority of human circRNAs expressed spatiotemporally; only a very small portion of circRNAs were back-splice junction (BSJ)-consistent (maximally 5.17%) or sequence-consistent (under 2%). Furthermore, circRNA genesis were relatively flexible that only about 60% of human circRNAs used the canonical GT-AG pattern for back-splice. The inconsistent expression of circRNAs challenges their roles as precise transcriptional regulators. ConclusionsIn summary, the reference-free method provides a straightforward and universal way for reliable circRNA research. It will largely boost the successful rate in designing highly specific probes to monitor circRNA behavior in cell. In particular, it brings circRNA research to the organisms that have no genome or draft genome.

bioinformatics↗

Structural basis for active-site probes targeting Staphylococcus aureus serine hydrolase virulence factors

Staphylococcus aureus is a major cause of infection in the community and in hospitals. Serine hydrolases play key roles in bacterial homeostasis, in particular biofilms. Activity-based profiling has previously identified a family of serine hydrolases, designated fluorophosphonate-binding hydrolases (Fphs), which contribute to virulence of S. aureus in the biofilm niche. Here we report structures of the putative tributyrin esterase FphF, alone and covalently bound by a substrate analog, and small molecule inhibitors that occupy the hydrophobic substrate-binding pocket. We show that FphF has promiscuous esterase activity. Building from this, we extended our analysis to the wider Fph protein family using homology modeling and docking tools. We predict that other Fph enzymes, including FphB which was linked directly to virulence, may be more specific than FphF. This study provides insight into Fph function and a template for designing new imaging agents, diagnostic probes, and inhibitors to treat S. aureus infections.

biochemistry↗

Structural basis for human TRPC5 channel inhibition by two distinct inhibitors

TRPC5 channel is a non-selective cation channel that participates diverse physiological processes. Human TRPC5 inhibitors show promise in the treatment of anxiety disorder, depression and kidney disease. Despite the high relevance of TRPC5 to human health, its inhibitor binding pockets have not been fully characterized due to the lack of structural information, which greatly hinders structure-based drug discovery. Here we show cryo-EM structures of human TRPC5 in complex with two distinct inhibitors, namely clemizole and HC-070, to the resolution of 2.7 [A]. Based on the high-quality cryo-EM maps, we uncover the different binding pockets and detailed binding modes for these two inhibitors. Clemizole binds inside the voltage sensor-like domain of each subunit, while HC-070 binds close to the ion channel pore and is wedged between adjacent subunits. Both of them exert the inhibitory function by stabilizing the ion channel in a closed state. These structures provide templates for further design and optimization of inhibitors targeting human TRPC5.

biophysics↗

The Coevolution of Promoters and Transcription Factors in Animal and Plant Cells

Coevolution has been acknowledged to play a significant role in driving the evolution of molecules and species. Promoters and transcription factors (TFs), especially their interactions, are key determinants for the regulation of gene expression. However, the evolutionary processes and mechanisms of promoter and TF interactions are still poorly understood. Here we conduct extensive physicochemical analyses of multi-omics sequences in 440 animal species and 223 plant species which span nearly one billion years of phylogeny. We demonstrate that promoters and TFs obey antagonistic coevolution in the animal kingdom while follow mutualistic coevolution in the plant kingdom. Furthermore, we reveal that such two coevolutionary strategies result in different evolutionary transitions of transcriptional networks in the two kingdoms. These results suggest that the two distinct coevolutionary mechanisms are likely to be major drivers of far greater genetic divergence between animals and plants, and open a new door to understanding the roles of promoters and TFs in tumor initiation and progression, and human ageing as well in molecular interactions and evolution.

evolutionary biology↗

Transcriptional Difference between SARS-COV-2 and other Human Coronaviruses Revealed by Sub-genomic RNA Profiling

BackgroundFundamental to viral biology is identification and annotation of viral genes and their function. Determining the level of coronavirus gene expression is inherently difficult due to the positive stranded RNA genome and the identification of sub-genomic RNAs (sgRNAs) that are required for expression of most viral genes. In the COVID-19 epidemic so far, few genomic studies have looked at viral sgRNAs and none have systematically examined the sgRNA profiles of large numbers of SARS-CoV2 datasets in conjuction with data for other coronaviruses. ResultsWe developed a bioinformatic pipeline to analyze the sgRNA profiles of coronaviruses and applied it to 588 individual samples from 20 independent studies, covering more than 10 coronavirus species. Our result showed that SARS-CoV, SARS-CoV-2 and MERS-CoV each had a core sgRNA repertoire generated via a canonical mechanism. Novel sgRNAs that encode peptides with evolutionarily conserved structures were identified in several coronaviruses and were expressed in vitro and in vivo. Two novel peptides may have direct functional relevance to disease, by alluding interferon responses and disrupting IL17E (IL25) signaling. Relevant to coronavirus infectivity and transmission, we also observed that the level of Spike sgRNAs were significantly higher in-vivo than in-vitro, while the opposite held true for the Nucleocapside protein. ConclusionsOur results greatly expanded the predicted number of coronaviruses proteins and identified potential viral peptide suggested to be involved in viral virulence. These methods and findings shed new light on coronavirus biology and provides a valuable resource for future genomic studies of coronaviruses.

bioinformatics↗

Mitochondrial ROS1 increases mitochondrial fission and respiration in oral squamous cancer carcinoma

Increased ROS1 oncogene expression has been implicated in the invasiveness of human oral squamous cell carcinoma (OSCC). The cellular distribution of ROS1 has long been assumed at the plasma membrane. However, a previous work reported a differential cellular distribution of mutant ROS1 derived from chromosomal translocation, resulting in increased carcinogenesis. We thus hypothesized that cellular distribution of up-regulated ROS1 in OSCC may correlate with invasiveness. We found that ROS1 can localize to mitochondria in the highly invasive OSCC and identified a mitochondria-targeting signal sequence in ROS1. We also demonstrated that ROS1 targeting to mitochondria is required for mitochondrial fission phenotype in the highly invasive OSCC cells. OSCC cells expressing high levels of ROS1 consumed more oxygen and had increased levels of cellular ATP levels. Our results also revealed that ROS1 regulates mitochondrial biogenesis and cellular metabolic plasticity. Together, these findings demonstrate that ROS1 targeting to mitochondria enhances OSCC invasion through regulating mitochondrial morphogenesis and cellular respiratory. Summary StatementThis study discovers a new role for the ROS1 in mitochondrial fission and metabolic activities.

cancer biology↗

Genome-wide circadian rhythm detection methods: systematic evaluations and practical guidelines

Circadian rhythms are oscillations of behavior, physiology, and metabolism in many organisms. Recent advancements in omics technology make it possible for genome-wide profiling of circadian rhythms. Here, we conducted a comprehensive analysis of seven existing algorithms commonly used for circadian rhythm detection. Using gold-standard circadian and non-circadian genes, we systematically evaluated the accuracy and reproducibility of the algorithms on empirical datasets generated from various omics platforms under different experimental designs. We also carried out extensive simulation studies to test each algorithms robustness to key variables, including sampling patterns, replicates, waveforms, signal-to-noise ratios, uneven samplings, and missing values. Furthermore, we examined the distributions of the nominal p-values under the null and raised issues with multiple testing corrections using traditional approaches. With our assessment, we provide method selection guidelines for circadian rhythm detection, which are applicable to different types of high-throughput omics data. Key pointsO_LIVarious methods have been developed for circadian rhythm detection on a genome-wide scale using omics technologies, yet there has not been a comprehensive summary and evaluation of all existing methods to date. C_LIO_LIUsing gold-standard circadian and non-circadian genes, we systematically evaluated the accuracy and reproducibility of seven existing algorithms for circadian rhythm detection on empirical datasets generated from various omics platforms. C_LIO_LIWe carried out extensive simulation studies to test each algorithms robustness to key variables, including sampling patterns, replicates, waveforms, signal-to-noise ratios, uneven samplings, and missing values. C_LIO_LIWe examined the distributions of the nominal p-values under the null and raised issues with multiple testing corrections using the Benjamini-Hochberg procedure due to gene-gene correlation and testing being overly conservative. C_LIO_LIWe provide method selection guidelines for circadian rhythm detection, which are applicable to different types of high-throughput omics data. C_LI

bioinformatics↗

SCYN: Single cell CNV profiling method using dynamic programming

Copy number variation is crucial in deciphering the mechanism and cure of complex disorders and cancers. The recent advancement of scDNA sequencing technology sheds light upon addressing intratumor heterogeneity, detecting rare subclones, and reconstructing tumor evolution lineages at single-cell resolution. Nevertheless, the current circular binary segmentation based approach proves to fail to efficiently and effectively identify copy number shifts on some exceptional trails. Here, we propose SCYN, a CNV segmentation method powered with dynamic programming. SCYN resolves the precise segmentation on two in silico datasets. Then we verified SCYN manifested accurate copy number inferring on triple negative breast cancer scDNA data, with array comparative genomic hybridization results of purified bulk samples as ground truth validation. We tested SCYN on two datasets of the newly emerged 10x Genomics CNV solution. SCYN successfully recognizes gastric cancer cells from 1% and 10% spike-ins 10x datasets. Moreover, SCYN is about 150 times faster than state of the art tool when dealing with the datasets of approximately 2000 cells. SCYN robustly and efficiently detects segmentations and infers copy number profiles on single cell DNA sequencing data. It serves to reveal the tumor intra-heterogeneity. The source code of SCYN can be accessed in https://github.com/xikanfeng2/SCYN. The visualization tools are hosted on https://sc.deepomics.org/.

bioinformatics↗

Reconstruction of the Hypothalamo-Neurohypophysial System and Functional Dissection of Magnocellular Oxytocin Neurons in the Brain

The hypothalamo-neurohypophysial system (HNS), comprising hypothalamic magnocellular neuroendocrine cells (MNCs) and the neurohypophysis, plays a pivotal role in regulating reproduction and fluid homeostasis by releasing oxytocin and vasopressin into the bloodstream. However, it remains incompletely understood on its structure and whether it contributes to the central actions of oxytocin and vasopressin. Using viral tracing and whole brain imaging, we reconstructed the three-dimensional architecture of the HNS and uncovered that subsets of MNCs collaterally project to multiple extrahypothalamic regions. Moreover, selective activation of magnocellular oxytocin neurons promoted peripheral oxytocin release and facilitated central oxytocin-mediated social interactions. Further, MNCs-released oxytocin in the caudate putamen enhanced locomotion to orchestrate social investigation. Our work reveals the previously unrecognized complexity of the HNS and provides structural and functional evidence for MNCs in coordinating both peripheral and central oxytocin-mediated actions, which will shed light on the mechanistic understanding of oxytocin-related psychiatric diseases.

neuroscience↗

The Genomic Formation of Human Populations in East Asia

The deep population history of East Asia remains poorly understood due to a lack of ancient DNA data and sparse sampling of present-day people. We report genome-wide data from 191 individuals from Mongolia, northern China, Taiwan, the Amur River Basin and Japan dating to 6000 BCE - 1000 CE, many from contexts never previously analyzed with ancient DNA. We also report 383 present-day individuals from 46 groups mostly from the Tibetan Plateau and southern China. We document how 6000-3600 BCE people of Mongolia and the Amur River Basin were from populations that expanded over Northeast Asia, likely dispersing the ancestors of Mongolic and Tungusic languages. In a time transect of 89 Mongolians, we reveal how Yamnaya steppe pastoralist spread from the west by 3300-2900 BCE in association with the Afanasievo culture, although we also document a boy buried in an Afanasievo barrow with ancestry entirely from local Mongolian hunter-gatherers, representing a unique case of someone of entirely non-Yamnaya ancestry interred in this way. The second spread of Yamnaya-derived ancestry came via groups that harbored about a third of their ancestry from European farmers, which nearly completely displaced unmixed Yamnaya-related lineages in Mongolia in the second millennium BCE, but did not replace Afanasievo lineages in western China where Afanasievo ancestry persisted, plausibly acting as the source of the early-splitting Tocharian branch of Indo-European languages. Analyzing 20 Yellow River Basin farmers dating to [~]3000 BCE, we document a population that was a plausible vector for the spread of Sino-Tibetan languages both to the Tibetan Plateau and to the central plain where they mixed with southern agriculturalists to form the ancestors of Han Chinese. We show that the individuals in a time transect of 52 ancient Taiwan individuals spanning at least 1400 BCE to 600 CE were consistent with being nearly direct descendants of Yangtze Valley first farmers who likely spread Austronesian, Tai-Kadai and Austroasiatic languages across Southeast and South Asia and mixing with the people they encountered, contributing to a four-fold reduction of genetic differentiation during the emergence of complex societies. We finally report data from Jomon hunter-gatherers from Japan who harbored one of the earliest splitting branches of East Eurasian variation, and show an affinity among Jomon, Amur River Basin, ancient Taiwan, and Austronesian-speakers, as expected for ancestry if they all had contributions from a Late Pleistocene coastal route migration to East Asia.

genomics↗

A newly-identified inactive starch synthase simultaneously regulates starch synthesis and carbon allocation in storage roots of cassava (Manihot esculenta Crantz)

Starch is a glucose polymer synthesized by green plants for energy storage, and is crucial for plant growth and reproduction. The biosynthesis of starch polysaccharides is mediated by members of the large starch synthase (SS) protein superfamily. Here, we showed that in cassava storage roots, soluble starch synthase II (MeSSII) plays an important role in starch biosynthesis via forming protein complexes with other starch biosynthetic enzymes by directly interacting with MeSSI, MeSBEII and MeISAII. The MeSSII-RNAi cassava lines showed increased amylose content and reduced intermediate chain of amylopectin (B1 type) biosynthesis in their storage roots, leading to altered starch physico-chemical properties. Further gel permeation chromatography analysis of starch biosynthetic enzymes between the wild type and MeSSII-RNAi lines confirmed the key rule of MeSSII in the organization of heteromeric starch synthetic protein complexes, including the MeSSII-MeSSI-MeGBSSI and MeSBEII-MeSSI-MeSSII-MeISAII-MeISAI complexes. The lack of MeSSII in cassava also reduced the binding capacity of the MeSSI, MeSBEII, MeISAI, and MeISAII to starch granules. Our results show a close coordination between granule-bound starch synthase and amylopectin biosynthetic enzymes, which implies that the processes of amylose synthesis and amylopectin synthesis are directly interrelated. These findings shed light on the key components of the starch biosynthesis machinery in root crops. One Sentence SummaryHere, by focusing on cassava SSII, we elucidated its function and the molecular mechanism by which it chaperones the starch synthase complex to regulate starch biosynthesis in cassava storage roots.

plant biology↗

Population sequencing enhances understanding of tea plant evolution

Tea is an economically important plant characterized by a large genome size and high heterozygosity and species diversity. In this study, we assembled a 3.26 Gb high-quality chromosome-scale genome for tea using the Longjing 43 cultivar of Camellia sinensis var. sinensis. Population resequencing of 139 tea accessions from around the world was used to investigate the evolution of tea and to reveal the phylogenetic relationships among tea accessions. With the spread of tea cultivation, hybridization has increased the heterozygosity and wide-ranging gene flow among tea populations. Population genetics and transcriptomics analyses revealed that during domestication, the selection for disease resistance and flavor in C. sinensis var. sinensis populations has been stronger than that in C. sinensis var. assamica populations. The data compiled in this study provide new resources for the marker assisted breeding of tea and are a basis for further research on the genetics and evolution of tea.

genomics↗

Subanesthetic ketamine reactivates adult cortical plasticity to restore vision from amblyopia

Subanesthetic ketamine evokes rapid and long-lasting antidepressant effects in human patients. The mechanism for ketamines effects remains elusive, but ketamine may broadly modulate brain plasticity processes. We show that single-dose ketamine reactivates adult mouse visual cortical plasticity and promotes functional recovery of visual acuity defects from amblyopia. Ketamine specifically induces down-regulation of neuregulin-1 (NRG1) expression in parvalbumin-expressing (PV) inhibitory neurons in mouse visual cortex. NRG1 downregulation in PV neurons co-tracks both the fast onset and sustained decreases in synaptic inhibition to excitatory neurons, along with reduced synaptic excitation to PV neurons in vitro and in vivo following a single ketamine treatment. These effects are blocked by exogenous NRG1 as well as PV targeted receptor knockout. Thus ketamine reactivation of adult visual cortical plasticity is mediated through rapid and sustained cortical disinhibition via downregulation of PV-specific NRG1 signaling. Our findings reveal the neural plasticity-based mechanism for ketamine-mediated functional recovery from adult amblyopia. Highlights{circ} Disinhibition of excitatory cells by ketamine occurs in a fast and sustained manner {circ}Ketamine evokes NRG1 downregulation and excitatory input loss to PV cells {circ}Ketamine induced plasticity is blocked by exogenous NRG1 or its receptor knockout {circ}PV inhibitory cells are the initial functional locus underlying ketamines effects

neuroscience↗