Biology subjects

Chen, L.

Publications and source records attributed to Chen, L..

At least 1,009 records · Page 56Linked to original sources

bioRxiv2018

A conserved role of the insulin-like signaling pathway in uric acid pathologies revealed in Drosophila melanogaster

Elevated uric acid (UA) is a key factor for disorders, including gout or kidney stones and result from abrogated expression of Urate Oxidase (Uro) and diet. To understand the genetic pathways influencing UA metabolism we established a Drosophila melanogaster model with elevated UA using Uro knockdown. Reduced Uro expression resulted in the accumulation of UA concretions and diet-dependent shortening of lifespan. Inhibition of insulin-like signaling (ILS) pathway genes reduced UA and concretion load. In humans, SNPs in the ILS genes AKT2 and FOXO3 were associated with UA levels or gout, supporting a conserved role for ILS in modulating UA metabolism. Downstream of the ILS pathway UA pathogenicity was mediated partly by NADPH Oxidase, whose inhibition attenuated the reduced lifespan and concretion accumulation. Thus, genes in the ILS pathway represent potential therapeutic targets for treating UA associated pathologies, including gout and kidney stones.\n\nHighlightsO_LIIn Drosophila high uric acid (UA) levels shorten lifespan and cause UA aggregation\nC_LIO_LIConserved in flies and humans, the ILS pathway associates with UA pathologies\nC_LIO_LIFoxO dampens concretion formation by reducing UA levels and ROS formation\nC_LIO_LIInhibition of NOX alleviates the lifespan attenuation and UA aggregation\nC_LI

pathology↗

bioRxiv2018

Hessian single molecule localization microscopy using sCMOS camera

Single-molecule localization microscopy (SMLM) has the highest spatial resolution among the existing super-resolution (SR) imaging techniques, but its temporal resolution needs further improvement. An sCMOS camera can effectively increase the imaging rate due to its large field of view and fast imaging speed. Using an sCMOS camera for SMLM imaging can significantly improve the imaging time resolution, but the unique single pixel-dependent readout noise of sCMOS cameras severely limits their application in SMLM imaging. This paper develops a Hessian-based SMLM (Hessian-SMLM) method that can correct the variance, gain and offset of a single pixel of a camera and effectively eliminate the pixel-dependent readout noise of sCMOS cameras, especially when the signal-to-noise ratio is low. Using Hessian SMLM to image mEos3.2-labeled actin was able to significantly reduce the artifacts due to camera noise.

biophysics↗

bioRxiv2018

RNA-Seq and Protein Mass Spectrometry in Microdissected Kidney Tubules Reveal Signaling Processes that Initiate Lithium-Induced Diabetes Insipidus

ABSTRACT1Lithium salts, used for treatment of bipolar disorder, frequently induce nephrogenic diabetes insipidus (NDI), limiting therapeutic success. NDI is associated with loss of expression of the molecular water channel, aquaporin-2, in the renal collecting duct (CD). Here, we use the methods of systems biology in a well-established rat model of lithium-induced NDI to identify signaling pathways activated at the onset of polyuria. Using single-tubule RNA-Seq, full transcriptomes were determined in microdissected cortical CDs of rats 72 hrs after initiation of lithium chloride (LiCl) administration (vs. time-controls without LiCl). Transcriptome-wide changes in mRNA abundances were mapped to gene sets associated with curated canonical signaling pathways, showing evidence for activation of NF-{kappa}B signaling with induction of genes coding for multiple chemokines as well as most components of the Major Histocompatibility Complex (MHC) Class I antigen-presenting complex. Administration of antiinflammatory doses of dexamethasone to LiCl-treated rats countered the loss of aquaporin-2 protein. RNA-Seq also confirmed prior evidence of a shift from quiescence into the cell cycle with arrest. Time course studies demonstrated an early (12 hrs) increase in multiple immediate early genes including several transcription factors. Protein mass spectrometry in microdissected cortical CDs provided corroborative evidence but also identified decreased abundance of several anti-oxidant proteins. Integration of new data with prior data about lithium effects at a molecular level leads to a signaling model in which lithium increases ERK activation leading to induction of NF-{kappa}B signaling and an inflammatory-like response that represses Aqp2 gene transcription.

systems biology↗

bioRxiv2018

What you see depends on what you hear: temporal averaging and crossmodal integration

In our multisensory world, we often rely more on auditory information than on visual input for temporal processing. One typical demonstration of this is that the rate of auditory flutter assimilates the rate of concurrent visual flicker. To date, however, this auditory dominance effect has largely been studied using regular auditory rhythms. It thus remains unclear whether irregular rhythms would have a similar impact on visual temporal processing; what information is extracted from the auditory sequence that comes to influence visual timing; and how the auditory and visual temporal rates are integrated together in quantitative terms. We investigated these questions by assessing, and modeling, the influence of a task-irrelevant auditory sequence on the type of \"Ternus apparent motion\": group motion versus element motion. The type of motion seen critically depends on the time interval between the two Ternus display frames. We found that an irrelevant auditory sequence preceding the Ternus display modulates the visual interval, making observers perceive either more group motion or more element motion. This biasing effect manifests whether the auditory sequence is regular or irregular, and it is based on a summary statistic extracted from the sequential intervals: their geometric mean. However, the audiovisual interaction depends on the discrepancy between the mean auditory and visual intervals: if it becomes too large, no interaction occurs - which can be quantitatively described by a partial Bayesian integration model. Overall, our findings reveal a crossmodal perceptual averaging principle that may underlie complex audiovisual interactions in many everyday dynamic situations.

neuroscience↗

bioRxiv2018

Evolutionary trade-offs between unicellularity and multicellularity in budding yeast

Multicellular organisms appeared on Earth through several independent major evolutionary transitions. Are such transitions reversible? Addressing this fundamental question entails understanding the benefits and costs of multicellularity versus unicellularity. For example, some wild yeast strains form multicellular clumps, which might be beneficial in stressful conditions, but this has been untested. Here we show that unicellular yeast evolves from clump-forming ancestors by propagating samples from suspension after larger clumps have settled. Unicellular yeast strains differed from their clumping ancestors mainly by mutations in the AMN1 (Antagonist of Mitotic exit Network) gene. Ancestral yeast clumps were more resistant to freeze/thaw, hydrogen peroxide, and ethanol stressors than their unicellular counterparts, while unicellularity was advantageous without stress. These findings inform mathematical models, jointly suggesting a trade-off between the benefits and downsides of multicellularity, causing bet-hedging by regulated phenotype switching as a survival strategy in unexpected stress.

evolutionary biology↗

bioRxiv2018

Exploration of miRNA-mediated fertility regulation network of cytoplasmic male sterility during flower bud development in soybean

Cytoplasmic male sterility (CMS) plays an important role in the production of soybean hybrid seeds. MicroRNAs (miRNAs) are a class of non-coding endogenous ~21 nt small RNAs that play crucial roles in flower and pollen development by targeting genes in plants. Here, two small RNA libraries and two degradome libraries were constructed from the flower buds of the soybean CMS line NJCMS1A and its restorer (Rf) line NJCMS1C. Following high-throughput sequencing, 558 known miRNAs, 103 novel miRNAs on the other arm of known pre-miRNAs, 10 novel miRNAs, and a number of base-edited miRNAs were identified. Among the identified miRNAs, 76 differentially expressed miRNAs were discovered with greater than two-fold changes between NJCMS1A and NJCMS1C. By degradome analysis, a total of 466 distinct transcripts targeted by 200 miRNAs and 122 distinct transcripts targeted by 307 base-edited miRNAs were detected. Further integrated analysis of transcriptome and small RNA found some miRNAs and their targets expression patterns showing a negative correlation, such as miR156b-GmSPL and miR4413b-GmPPR. Previous reports showed that these targets might be related to flower bud development, suggesting that miRNAs might act as regulators of soybean CMS fertility. These findings may provide a better understanding of the miRNA-mediated regulatory networks in CMS mechanisms of soybean.

genomics↗

bioRxiv2018

Feedback Regulation between Initiation and Maturation Networks Orchestrates the Chromatin Dynamics of Epidermal Lineage Commitment

Tissue development results from lineage-specific transcription factors (TF) programming a dynamic chromatin landscape through progressive cell fate transitions. Here, we interrogate the epigenomic landscape during epidermal differentiation and create an inference network that ranks the coordinate effects of TF-accessible regulatory element-target gene expression triplets on lineage commitment. We discover two critical transition periods: surface ectoderm initiation and keratinocyte maturation, and identify TFAP2C and p63 as lineage initiation and maturation factors, respectively. Surprisingly, we find that TFAP2C, and not p63, is sufficient to initiate surface ectoderm differentiation, with TFAP2C-initiated progenitor cells capable of maturing into functional keratinocytes. Mechanistically, TFAP2C primes the surface ectoderm chromatin landscape and induces p63 expression and binding sites, thus allowing maturation factor p63 to positively auto-regulate its expression and close a subset of the TFAP2C-initiated early program. Our work provides a general framework to infer TF networks controlling chromatin transitions that will facilitate future regenerative medicine advances.

cell biology↗

bioRxiv2018

Cell-Type Selective Markers Represented in Whole-Kidney RNA-Seq Data

Bulk-tissue RNA-Seq is seeing increasing use in the study of physiological and pathophysiological processes in the kidney. However, the presence of multiple cell types in kidney complicates the data interpretation. Here we address the question, \"What cell types are represented in whole-kidney RNA-Seq data?\" to identify circumstances in which bulk-kidney RNA-Seq can be successfully interpreted. We carried out RNA-Seq in mouse whole kidneys and microdissected renal tubule segments. To aid in the interpretation of the data, we compiled a database of cell-type selective protein markers for 43 cell types believed to be present in kidney tissue. The whole-kidney RNA-Seq analysis identified transcripts corresponding to 17742 genes, distributed over 5 orders of magnitude of expression level. Markers for all 43 curated cell types were detectable. Analysis of the cellular makeup of mouse and rat kidney, calculated from published literature, suggests that proximal tubule cells account for more than half of the mRNA in a kidney. Comparison of RNA-Seq data from microdissected proximal tubules with whole-kidney data supports this view. RNA-Seq data for cell-type selective markers in bulk-kidney samples provide a valid means to identify changes in minority-cell abundances in kidney tissue. Because proximal tubules make up a substantial fraction of whole-kidney samples, changes in proximal tubule gene expression can be assessed presumptively by bulk-kidney RNA-Seq, although results could potentially be obscured by the presence of mRNA from other cell types. The dominance of proximal tubule cells in whole-kidney samples also has implications for the interpretation of single-cell RNA-Seq data.

systems biology↗

bioRxiv2018

Interleukin 22 mediates interleukin 23-induced pathology in newborn mice by disrupting the function of intestinal and pancreatic cells

Mice expressing IL-23 constitutively in the intestine or skin fail to grow and die prematurely. These phenotypes are associated with marked changes in the levels of circulating cytokines and with changes in the transcriptome of the pancreas and intestine. Marked changes are observed in the expression of molecules involved in digestion and absorption of carbohydrates, proteins, and lipids, resulting in a malabsorptive condition. Genetic ablation of IL-22, or one of the subunits of the IL-22R in mice expressing IL-23, restores normal growth and increases the life span of the animals. Mechanistically, IL-22 acts directly at the level of pancreatic acinar cells to decrease expression of the pancreas associated transcription factor 1a (Ptfla), an important transcription factor controlling expression of genes encoding pancreatic enzymes, and acinar cell identity. The results indicate that dysregulated expression of IL-23 and IL-22 has severe consequences in newborns and reveal an unsuspected role for IL-22 in controlling pancreatic enzyme secretion and food absorption.

immunology↗

bioRxiv2018

Transcriptional trajectories of human kidney disease progression

Our molecular understanding of clinical conditions progressing from acute organ injury to irreversible dysfunction is limited. We used renal transplantation as a model to characterize the transcriptional response along the transition from acute kidney injury to allograft fibrosis in humans. The integrated analysis of 163 transcriptomes with machine learning techniques identified shared and divergent transcriptional trajectories determining distinct clinical outcomes in a heterogeneous population. The molecular map of renal responses to injury was validated in a mouse ischemia-reperfusion injury model and highlighted early markers of disease progression. This generally applicable approach opens the way for an unbiased analysis of progressive diseases.

pathology↗

bioRxiv2018

Enterobacter cloacae complex ST171 Isolates Expressing KPC-4 Carbapenemase Recovered from Canine Patients in Ohio, USA

Carbapenem resistant Enterobacteriaceae (CRE) have emerged as a critical public health threat. Organisms expressing the Klebsiella pneumoniae carbapenemase (KPC) were first recognized in the US in the late 1990s and continue to be the predominant CRE genotype reported in clinical isolates. Strains harboring blaKPC alleles have been observed in multiple species of Enterobacteriaceae, including the Enterobacter cloacae complex. A major E. cloacae clone, Enterobacter xiangfangensis ST171, has emerged as an important cause of hospital associated infections (HAI) and has been shown to carry different alleles of KPC in the context of Tn4401, residing on plasmids of multiple incompatibility groups. While CRE are commonly isolated from infected humans, their recovery from animals has been rare, particularly from companion animals. In the US, only six CRE have been reported from companion animals, and one from livestock, none of which were blaKPC. This report describes two E. xiangfangensis sequence type ST171 isolates each with a large IncHI2 plasmid bearing blaKPC-4 recovered from dogs with infections at the Ohio State University Veterinary Medical Center. Our phylogenetic comparison of these canine isolates with available sequences from clinical human isolates of KPC-4 identified in ST171 suggest an epidemiologically significant clonal strain.

epidemiology↗

bioRxiv2018

Overexpressed microRNA-141-3p enhance proliferation via targeting PLAG1 in non-diabetic macrosomia

Several studies have shown microRNAs (miRNAs) could regulate the placental development, yet the role and mechanism of miRNAs in the development of non-diabetic macrosomia (NDFMS) remains unclear. The key miRNA that abnormal expressed in NDFMS placentas was screened out by miRNA microarray and verified using qRT-PCR in 91 subjects. The effects of the key miRNA were verified by proliferation assay and invasion assay in HTR-8/SVneo cell, and also in pregnant C57BL/6J mice. miR-141-3p was determined as the key miRNA with the most significant difference, which could promote the proliferation and invasion by regulating the expression of target gene PLAG1. Overexpression of PLAG1 could reverse the effect of cell proliferation and invasion ability caused by miR-141-3p overexpression. Significant difference in fetal birth weight was observed between the control group and treated group with miR-141-3p agomir in late pregnancy, but not in early pregnancy. This study revealed miR-141-3p could increase the proliferation of placenta to participate in the occurrence and development of NDFMS through regulating PLAG1 expression.

developmental biology↗

bioRxiv2018

Co-outbreak of ST37 and a novel ST3006 Klebsiella pneumoniae from multi-site infection in a neonatal intensive care unit, Fuzhou, China

BackgroundThe outbreak of carbapenems resistant Klebsiella pneumoniae (K. pneumoniae) is a serious public health problem, especially in the neonatal intensive care unit (NICU).\n\nMethodsFifteen strains of K. pneumoniae were isolated from seven neonates during June 3-28, 2017 in a NICU. Antimicrobial susceptibility was determined by the Vitek 2 system and micro-broth dilution method. Multi-locus sequence typing (MLST) and pulsed-field gel electrophoresis (PFGE) were used to analyse the genetic relatedness of isolates. Genome sequencing and gene function analyses were performed for investigating pathogenicity and drug resistance and screening genomic islands.\n\nFindingsTwo K. pneumoniae clones were identified from seven neonates, one ST37 strain and another new sequence type ST3006. The ST37 strain exhibited multi-drug resistance genes and resistance to carbapenem. MLST and PFGE showed that 15 strains were divided into three groups, with a high level of homology. Gene sequencing and analysis indicated that KPN1343 harboured 12 resistance genes, 15 genomic islands and 205 reduced virulence genes. KPN1344 harboured four resistance genes, 19 genomic islands and 209 reduced virulence genes.\n\nConclusionCo-outbreak of K. pneumoniae involved two clones, ST36 and ST3006, causing multi-site infection. Genome sequencing and analysis is an effective method for studying bacterial resistance genes and their functions.

microbiology↗

bioRxiv2018

Systematic Discovery of the Functional Impact of Somatic Genome Alterations in Individual Tumors through Tumor-specific Causal Inference

We report a tumor-specific causal inference (TCI) framework, which discovers causative somatic genome alterations (SGAs) through inferring causal relationships between SGAs and molecular phenotypes (e.g., transcriptomic, proteomic, or metabolomic changes) within an individual tumor. We applied the TCI algorithm to tumors from The Cancer Genome Atlas (TCGA) and identified those SGAs that causally regulate the differentially expressed genes (DEGs) within each tumor. Overall, TCI identified 634 SGAs that cause cancer-related DEGs in a significant number of tumors, including most of the previously known drivers and many novel candidate cancer drivers. The inferred causal relationships are statistically robust and biologically sensible, and multiple lines of experimental evidence support the predicted functional impact of both well-known and novel candidate drivers. By identifying major candidate drivers and revealing their functional impact in a tumor, TCI shed light on disease mechanisms of each tumor, providing useful information for advancing cancer biology and precision oncology.\n\nSignificance statementsCancer is mainly caused by SGAs. Precision oncology involves identifying and targeting tumor-specific aberrations resulting from causative SGAs. TCI is a novel computational framework for discovering the causative SGAs and their impact on oncogenic processes, thus revealing tumor-specific disease mechanisms. This information can be used to guide precision oncology.

cancer biology↗

bioRxiv2018

MTAP loss correlates with an immunosuppressive profile in GBM and its substrate MTA stimulates alternative macrophage polarization

Glioblastoma (GBM) is a lethal brain cancer known for its potent immunosuppressive effects. Loss of Methylthioadenosine Phosphorylase (MTAP) expression, via gene deletion or epigenetic silencing, is one of the most common alterations in GBM. Here, we show that MTAP loss in GBM cells is correlated with differential expression of immune regulatory genes. In silico analysis of gene expression profiles in GBM samples revealed that low MTAP expression is correlated with reduced proportions of {gamma}{delta}T cells, fewer activated CD4 cells, and an increased proportion of M2 macrophages. Using in vitro macrophage models, we found that methylthioadenosine (MTA), the metabolite that accumulates as a result of MTAP loss in GBM cells, promotes the immunosuppressive alternative activation (M2) of macrophages. We show that this effect of MTA on macrophages is independent of IL4/IL3 signaling, is mediated by the adenosine A2B receptor, and can be pharmacologically reversed. This study suggests that MTAP loss in GBM cells contributes to the immunosuppressive microenvironment, and that MTAP status should be a factor for consideration in understanding GBM immune states and devising immunotherapy-based approaches for treating MTAP-null GBM.

cancer biology↗

bioRxiv2018

MS-PyCloud: An open-source, cloud computing-based pipeline for LC-MS/MS data analysis

Rapid development and wide adoption of mass spectrometry-based proteomics technologies have empowered scientists to study proteins and their modifications in complex samples on a large scale. This progress has also created unprecedented challenges for individual labs to store, manage and analyze proteomics data, both in the cost for proprietary software and high-performance computing, and the long processing time that discourages on-the-fly changes of data processing settings required in explorative and discovery analysis. We developed an open-source, cloud computing-based pipeline, MS-PyCloud, with graphical user interface (GUI) support, for LC-MS/MS data analysis. The major components of this pipeline include data file integrity validation, MS/MS database search for spectral assignment, false discovery rate estimation, protein inference, determination of protein post-translation modifications, and quantitation of specific (modified) peptides and proteins. To ensure the transparency and reproducibility of data analysis, MS-PyCloud includes open source software tools with comprehensive testing and versioning for spectrum assignments. Leveraging public cloud computing infrastructure via Amazon Web Services (AWS), MS-PyCloud scales seamlessly based on analysis demand to achieve fast and efficient performance. Application of the pipeline to the analysis of large-scale iTRAQ/TMT LC-MS/MS data sets demonstrated the effectiveness and high performance of MS-PyCloud. The software can be downloaded at: https://bitbucket.org/mschnau/ms-pycloud/downloads/

bioinformatics↗

bioRxiv2018

Extracellular HBV RNAs are heterogeneous in length and circulate as virions and capsid-antibody-complexes in chronic hepatitis B patients

Extracellular HBV RNA has been detected in both HBV-replicating cell culture media and sera from chronic hepatitis B (CHB) patients, but its exact origin and composition remain controversial. Here, we demonstrated that extracellular HBV RNA species were of heterogeneous lengths, ranging from the length of pregenomic RNA to a few hundred nucleotides. In cell models, these RNAs were predominantly associated with naked capsids although virions also harbored a minority of them. Moreover, HBV RNAs in hepatitis B patients blood circulation were localized in unenveloped capsids in the form of capsid-antibody-complexes (CACs) and in virions. Furthermore, we showed that extracellular HBV RNAs could serve as template for viral DNA synthesis. In conclusion, extracellular HBV RNAs mainly consist of pgRNA or the pgRNA species degraded by the RNase H domain of the polymerase in the process of viral DNA synthesis and circulate as CACs and virions. Their presence in the blood circulation of CHB patients may be exploited to develop novel biomarkers for HBV persistence.

microbiology↗

bioRxiv2018

Evaluation of the GenoType MTBDRplus and MTBDRsl for the detection of drug-resistant Mycobacterium tuberculosis on isolates from Beijing,China

The incidence of tuberculosis (TB) and especially multidrug-resistant TB (MDR) and extreme drug resistance (XDR-TB) continue to increase alarmingly worldwide and reliable and fast diagnosis of MDR-TB and XDR-TB is essential for the adequate treatment of patients. So molecular line probe assays (LPAs) for detection of MDR-TB and XDR-TB have been endorsed by the World Health Organization (WHO). We analyzed 96 isolates from Beijing comparing culture-based drug susceptibility testing (DST) to LPAs detecting rifampicin (RFP), isoniazid (INH), and levofloxacin (LFX), amikacin (AM), capreomycin (CMP), ethambutol (EMB) resistance. Compared to phenotypic DST, the GenoType MTBDRplus and MTBDRsl showed a sensitivity of 98.7% and a specificity of 88.9% for detection of RFP resistance, 82.1% and 94.4% for INH, 89.7% and 94.4% for LFX, 60.0% and 98.7% for AM/CPM, 57.5% and 98.2% for EMB, respectively. The sensitivity and specificity of LPAs for MDR-TB and XDR-TB were 80.8%, 100% and 50.0%, 97.6%. Mutations in codon S531L of the rpoB gene and S315T1 of KatG gene were dominated in MDR-TB strains. The most frequently observed mutations were in codon A90V of the gyrA gene, A1401G of the rrs gene and M306V of the embB gene, according to the MTBDRsl results. Our study showed that, in combination to phenotypic DST, application of the LPAs might be an efficient and reliable supplementary DST assay for rapid susceptibility screening of MDR-TB and XDR-TB. Using LPAs in high MDR/XDR burden countries allows for appropriate and timely treatment, which will reduce transmission rates, morbidity and improve treatment outcomes in patients.

microbiology↗