Biology subjects

Chen, C.

Publications and source records attributed to Chen, C..

At least 721 records · Page 40Linked to original sources

bioRxiv2019

A collection of yeast cellular electron cryotomography data

BackgroundCells are powered by a large set of macromolecular complexes, which work together in a crowded environment. The in situ mechanisms of these complexes are unclear because their 3-D distribution, organization, and interactions are largely unknown. Electron cryotomography (cryo-ET) is a key tool to address these knowledge gaps because it produces cryotomograms -- 3-D images that reveal biological structure at approximately 4-nm resolution. Cryo-ET does not involve any fixation, dehydration, staining, or plastic embedment, meaning that cellular features are visualized in a life-like, frozen-hydrated state. To study chromatin and mitotic machinery in situ, we have subjected yeast cells to a variety of genetic and/or chemical perturbations, cryosectioned them, and then imaged the cells by cryo-ET.\n\nFindingsEvery study from our group has generated more cryo-ET data than needed. Only the small subset of data that contributed to figures in these studies have been publicly shared. Here we share more than 1,000 cryo-ET raw datasets of cryosectioned budding yeast S. cerevisiae. This data will be valuable to cell biologists who are interested in the nanoscale organization of yeasts and of eukaryotic cells in general. To facilitate access, all the unpublished tilt series and a subset of corresponding cryotomograms have been deposited in the EMPIAR resource for the cell-biology community to use freely. To improve tilt series discoverability, we have uploaded metadata and preliminary notes to publicly accessible google spreadsheets.\n\nConclusionsCellular cryo-ET data can be mined to obtain new cell-biological, structural, and 3-D statistical insights in situ. Because these data capture cells in a life-like state, they contain some structures that are either absent or not visible in traditional EM data. Template matching and subtomogram averaging of known macromolecular complexes can reveal their 3-D distributions and low-resolution structures. Furthermore, these data can serve as testbeds for high-throughput image-analysis pipelines, as training sets for feature-recognition software, for feasibility analysis when planning new structural cell-biology projects, and as practice data for students who are learning cellular cryo-ET.

cell biology↗

bioRxiv2019

A smooth muscle-like niche facilitates lung epithelial regeneration

The mammalian lung is a highly complex organ due to its branched, tree-like structure and diverse cellular composition. Recent efforts using state-of-the-art genetic lineage tracing and single-cell transcriptomics have helped reduce this complexity and delineate the ancestry and fate of various cell subpopulations during organogenesis, homeostasis and repair after injury. However, mesenchymal cell heterogeneity and function in development and disease remain a longstanding issue in the lung field. In this study, we break down smooth muscle heterogeneity into the constituent subpopulations by combining in vivo lineage tracing, single-cell RNA sequencing and in vitro organoid cultures. We identify a repair-supportive mesenchymal cell (RSMC) population that is distinct from pre-existing airway smooth muscle cells (ASMC) and is critical for regenerating the conducting airway epithelium. Progenitors of RSMCs are intertwined with airway smooth muscle, undergo active WNT signaling, transiently acquire the expression of the smooth muscle marker ACTA2 in response to epithelial injury and are marked by PDGFR expression. Our data simplify the cellular complexity of the peribronchiolar domain of the adult lung and represent a forward step towards unraveling the role of mesenchymal cell subpopulations in instructing epithelial behavior during repair processes.

developmental biology↗

bioRxiv2019

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

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

molecular biology↗

bioRxiv2019

Identification of new MmpL3 inhibitors by untargeted and targeted mutant screens defines MmpL3 domains with differential resistance

The Mycobacterium tuberculosis (Mtb) mycolic acid flippase MmpL3 has been the proposed target for multiple inhibitors with diverse chemical scaffolds. This diversity in chemical scaffolds has made it difficult to predict compounds that inhibit MmpL3 without whole genome sequencing of isolated resistant mutants. Here we describe the identification of four new inhibitors that select for resistance mutations in mmpL3. Using these resistant mutants, we conducted a targeted whole-cell phenotypic screen of 163 novel Mtb growth inhibitors for differential growth inhibition of wild type Mtb as compared to a pool of twenty-four unique mmpL3 mutants. The screen successfully identified six additional putative MmpL3 inhibitors. The compounds were bactericidal both in vitro and against intracellular Mtb. Mtb cells treated with these compounds were shown to accumulate trehalose monomycolate and have reduced levels of trehalose dimycolate, supporting MmpL3 as the target. The inhibitors were mycobacteria specific with several also showing activity against the non-tuberculosis mycobacterial species M. abscessus. Cluster analysis of cross resistance profiles generated by dose response experiments for each combination of 13 MmpL3 inhibitors against each of the 24 mmpL3 mutants defined two clades of inhibitors and two clades of mmpL3 mutants. Pairwise combination studies of the inhibitors revealed interactions that were specific to the clades identified in the cross-resistance profiling. Additionally, modeling of resistance substitutions to the MmpL3 crystal structure revealed clade specific localization of the residues to specific domains of MmpL3, with the clades showing differential resistance. Several compounds exhibited high solubility and stability in microsomes and low cytotoxicity in macrophages, supporting their further development. The combined study of multiple mutants and novel compounds provides new insights into structure-function interactions of MmpL3 and small molecule inhibitors.

microbiology↗

bioRxiv2019

Evaluating brain cell marker genes based on differential gene expression and co-expression

Reliable identification of brain cell types is necessary for studying brain cell biology. Many brain cell marker genes have been proposed, but their reliability has not been fully validated. We evaluated 540 commonly-used marker genes of astrocyte, microglia, neuron, and oligodendrocyte with six transcriptome and proteome datasets from purified human and mouse brain cells (n=125). By setting new criteria of cell-specific fold change, we identified 22 gold standard marker genes (GSM) with stable cell-specific expression. Our results call into question the specificity of many proposed marker genes. We used two single-cell transcriptome datasets from human and mouse brains to explore the co-expression of marker genes (n=3337). The mouse co-expression modules were perfectly preserved in human transcriptome, but the reverse was not. Also, we proposed new criteria for identifying marker genes based on both differential expression and co-expression data. We identified 16 novel candidate marker genes (NCM) for mouse and 18 for human independently, which have the potential for use in cell sorting or other tagging techniques. We validated the specificity of GSM and NCM by in-silico deconvolution analysis. Our systematic evaluation provides a list of credible marker genes to facilitate correct cell identification, cell labeling, and cell function studies.

neuroscience↗

bioRxiv2019

Haplotype-Based Noninvasive Prenatal Diagnosis for Duchenne Muscular Dystrophy: A pilot study in South China

ObjectiveTo explore the accuracy and feasibility of noninvasive prenatal diagnosis (NIPD) for Duchenne Muscular Dystrophy (DMD) based on the haplotype approach. MethodsWe recruited singleton pregnancies at-risk of DMD at 12-25 weeks of gestation from 17 families who all had a proband children affected by DMD. We have identified the pathogenic mutations in probands and their mothers by multiplex ligation-dependent probe amplification (MLPA). To construct parental haplotypes, we performed captured sequencing on genomic DNA from parents and probands. The integration analysis of parental haplotypes and targeted sequencing results of maternal plasma DNA were used to infer the fetal haplotype and genotypes in DMD gene. Fetal DMD genotypes were further confirmed by invasive prenatal diagnosis. ResultsWe have successfully performed the haplotype-based NIPD in all recruited families. Ten fetuses were identified as normal, including four female and six male fetuses. Four female fetuses were carriers and the other three male fetuses were affected by DMD with exons 49-52 deletion, exons 8-37 deletion and c.628G > T mutation, respectively. The results of NIPD were consistent with those of invasive diagnosis. ConclusionHaplotype-based NIPD for DMD by targeted sequencing is promising and has potential for clinical application.

genetics↗

bioRxiv2019

An Interscholastic Network to Generate LexA Enhancer Trap Lines in Drosophila

Binary expression systems like the LexA-LexAop system provide a powerful experimental tool kit to study gene and tissue function in developmental biology, neurobiology and physiology. However, the number of well-defined LexA enhancer trap insertions remains limited. In this study, we present the molecular characterization and initial tissue expression analysis of nearly 100 novel StanEx LexA enhancer traps, derived from the StonEx1 index line. This includes 76 insertions into novel, distinct gene loci not previously associated with enhancer traps or targeted LexA constructs. Additionally, our studies revealed evidence for selective transposase-dependent replacement of a previously-undetected KP element on chromosome III within the StanEx1 genetic background during hybrid dysgenesis, suggesting a molecular basis for the over-representation of LexA insertions at the NK7.1 locus in our screen. Production and characterization of novel fly lines were performed by students and teachers in experiment-based genetics classes within a geographically diverse network of public and independent high schools. Thus, unique partnerships between secondary schools and university-based programs have produced and characterized novel genetic and molecular resources in Drosophila for open-source distribution, and provide paradigms for development of science education through experience-based pedagogy.

genetics↗

bioRxiv2019

Inter- and Intra-Generation Genomic Predictions for Douglas-fir Growth in Unobserved Environments

Conifers are prime candidates for genomic selection (GS) due to their long breeding cycles. Previous studies have shown much reduced prediction accuracies (PA) of breeding values in unobserved environments, which may impede its adoption. The impact of explicit environmental heterogeneity modeling including genotype-by-environment (GxE) interaction effects using environmental covariates (EC) in a reaction-norm genomic prediction model was tested using single-step GBLUP (ssGBLUP). A three-generation coastal Douglas-fir experimental population with 14 genetic trials (n = 13,615) permitted estimation of intra- and inter-generation PA in unobserved environments using 66,969 SNPs derived from exome capture. Intra- and inter-generation PAs ranged from 0.447-0.640 and 0.317-0.538, respectively. The inclusion of ECs in the prediction models explained up to 23% of the phenotypic variation for the fully specified model and resulted in the best model fit. Modeling GxE effects in the training population increased PA up to 6% and 13% over the base model for inter- and intra-generations, respectively. GS-PA can be substantially improved using ECs to explain environmental heterogeneity and GxE effects. The ssGBLUP methodology allows historical genetic trials containing non-genotyped samples to contribute in genomic prediction, and, thus, effectively boosting training population size which is a critical step. Further pheno- and enviro-typing developments may improve GS-PA.

genetics↗

bioRxiv2019

Effectiveness of Genomic Selection by Response to Selection for Winter Wheat Variety Improvement

The genomic revolution opened up the possibility for predicting un-tested phenotypes in schemes commonly referred as genomic selection (GS). Considering the practicality of applying GS in the line development stage of a hard red winter (HRW) wheat variety development program (VDP), effectiveness of GS was evaluated by prediction accuracy, as well as by the response to selection across field seasons that demonstrated challenges for crop improvement under significant climate variability. Important breeding targets for HRW wheat improvement in the southern Great Plains of USA, including Grain Yield, Kernel Weight, Wheat Protein content, and Sodium Dodecyl Sulfate (SDS) Sedimentation Volume as a rapid test for predicting bread-making quality, were used to estimate GSs effectiveness across harvest years from 2014 (drought) to 2016 (normal). In general, nonparametric algorithms RKHS and RF produced higher accuracies in both same-year/environment cross validations and cross-year/environment predictions, for the purpose of line selection in this bi-parental doubled haploid (DH) population. Further, the stability of GS performance was greatest for SDS Sedimentation Volume but least for Wheat Protein content. To ensure long-term genetic gain, our study on selection response suggested that across this sample of environmental variability, and though there are cases where phenotypic selection (PS) might be still preferential, training conducted under drought stress or in suboptimal conditions could still provide an encouraging prediction outcome, when selection decisions were made in normal conditions. However, it is not advisable to use training information collected from a normal field season to predict trait performance under drought conditions. Further, the superiority of response to selection was most evident if the training population can be optimized. Core IdeasO_LIPrediction performance for winter wheat grain yield and end-use quality traits. C_LIO_LIPrediction accuracy evaluated by cross validations significantly overestimated. C_LIO_LINon-parametric algorithms outperform, when considering cross-year predictions. C_LIO_LIStrategically designing training population improves response to selection. C_LIO_LIResponse to selection varied across growing seasons/environments. C_LI

plant biology↗

bioRxiv2019

The vagino-cervical microbiome as a woman's life history

The gut microbiome has been the center of attention for human commensal microbiome studies. The vaginal microbiome is also densely populated with bacteria, viruses and fungi, and the presence of microorganisms beyond the cervix is increasingly reported in non-infectious conditions1-3. Due to the over 90% of human sequences in female reproductive tract samples3,4, metagenomic information has been very limited. 16S rRNA gene amplicon sequencing studies have identified community types in the vaginal microbiota, and observed its dynamic changes due to menstrual cycles and sexual behaviors in small cohorts5,6. Here we perform metagenomic shotgun sequencing on cervical samples from 516 women of reproductive age (more than 10-fold of the Human Microbiome Project (HMP)4), and dissect major factors, especially pregnancy and delivery histories and contraception methods on the microbiome composition. Features of other body sites, such as mood fluctuations and facial speckles could potentially be deduced from the vagino-cervical microbiome. Our results offer an unprecedented glimpse into the microbiota in the female reproductive tract and imply disease susceptibilities that may be relieved by behavioural changes.

microbiology↗

bioRxiv2019

Intra-familial phenotypic heterogeneity and telomere abnormality in von Hippel-Lindau disease

Von Hippel-Lindau (VHL) disease is a hereditary cancer syndrome with poor survival. The current recommendations have proposed uniform surveillance strategies for all patients, neglecting the obvious phenotypic varieties. In this study, we aim to confirm the phenotypic heterogeneity in VHL disease and the underlying mechanism. A total of 151 parent-child pairs were enrolled for genetic anticipation analysis, and 77 sibling pairs for birth order effect analysis. Four statistical methods were used to compare the onset age of patients among different generations and different birth orders. The results showed that the average onset age was 18.9 years earlier in children than in their parents, which was statistically significant in all of the four statistical methods. Furthermore, the first-born siblings were affected 8.3 years later than the other ones among the maternal patients. Telomere shortening was confirmed to be associated with genetic anticipation in VHL families, while it failed to explain the birth order effect. Moreover, no significant difference was observed for overall survival between parents and children (p=0.834) and between first-born patients and the other siblings (p=0.390). This study provides definitive evidence and possible mechanisms of intra-familial phenotypic heterogeneity in VHL families, which is helpful to the update of surveillance guidelines.

genetics↗

bioRxiv2019

High-quality genome assembly and high-density genetic map of asparagus bean

Asparagus bean (Vigna. unguiculata ssp. sesquipedialis), known for its very long and tender green pods, is an important vegetable crop broadly grown in the developing countries. Despite its agricultural and economic values, asparagus bean does not have a high-quality genome assembly for breeding novel agronomic traits. In this study, we reported a high-quality 632.8 Mb assembly of asparagus bean based on the whole genome shotgun sequencing strategy. We also generated a high-density linkage map for asparagus bean, which helped anchor 94.42% of the scaffolds into 11 pseudo-chromosomes. A total of 42,609 protein-coding genes and 3,579 non-protein-coding genes were predicted from the assembly. Taken together, these genomic resources of asparagus bean will facilitate the investigation of economically valuable traits in a variety of legume species, so that the cultivation of these plants would help combat the protein and energy malnutrition in the developing world.

genomics↗

bioRxiv2018

RNA Polymerase II Independent Recruitment of SPT6 at Transcription Start Sites in Arabidopsis

SPT6 is a conserved transcription regulator that is generally viewed as an elongation factor. However, emerging evidence show its potential role in the control of transcription initiation at genic and intragenic promoters. Here we first present the genome-wide occupancy of Arabidopsis SPT6-like (SPT6L) and demonstrate its conserved role in facilitating RNA Polymerase II (RNAPII) occupancy across transcribed genes. Further, we show that SPT6L enrichment is shifted, unexpectedly, from gene body to the transcription starting site (TSS) when its association with RNAPII is disrupted. Finally, we demonstrate that recruitment of SPT6L starts at TSS, and then spreads to the gene body during transcription. These findings refine the mechanisms underlying SPT6L recruitment in transcription and shed light on the role of SPT6L in transcription initiation.

molecular biology↗

bioRxiv2018

A VTA GABAergic neural circuit mediates visually evoked innate defensive responses

Innate defensive responses are essential for animal survival and are conserved across species. The ventral tegmental area (VTA) plays important roles in learned appetitive and aversive behaviors, but whether it plays a role in mediating or modulating innate defensive responses is currently unknown. We report that GABAergic neurons in the mouse VTA (VTAGABA+) are preferentially activated compared to VTA dopaminergic (VTADA+) neurons when a threatening visual stimulus evokes innate defensive behavior. Functional manipulation of these neurons showed that activation of VTAGABA+ neurons is indispensable for looming-evoked defensive flight behavior and photoactivation of these neurons is sufficient for looming-evoked defensive-like flight behavior, whereas no such role can be attributed for VTADA+ neurons. Viral tracing and in vivo and in vitro electrophysiological recordings showed that VTAGABA+ neurons receive direct excitatory inputs from the superior colliculus (SC). Furthermore, we showed that glutamatergic SC-VTA projections synapse onto VTAGABA+ neurons that project to the central nucleus of the amygdala (CeA) and that the CeA is involved in mediating the defensive behavior. Our findings demonstrate that visual information about aerial threats access to the VTAGABA+ neurons mediating innate behavioral responses, suggesting a more general role for the VTA.

neuroscience↗

bioRxiv2018

Discovery of Alstrom syndrome gene as a regulator of centrosome duplication in asymmetrically dividing stem cells in Drosophila.

Stereotypical inheritance of the mother vs. daughter centrosomes has been reported in several stem cells that divide asymmetrically. We report the identification of a protein that exhibits asymmetric localization between mother and daughter centrosomes in asymmetrically dividing Drosophila male germline stem cells (GSCs). We show that Alms1a, a Drosophila homolog of the causative gene for the human ciliopathy Alstrom Syndrome, is a ubiquitous mother centriole protein with a unique additional localization to the daughter centriole only in the mother centrosome of GSCs. Depletion of alms1a results in rapid loss of centrosomes due to failure in daughter centriole duplication. We reveal that alms1a is specifically required for centriole duplication in asymmetrically dividing cells but not in symmetrically dividing differentiating cells in multiple stem cell lineages. The unique requirement of alms1a in asymmetric dividing cells may shed light onto the molecular mechanisms of Alstrom syndrome pathogenesis.

developmental biology↗

bioRxiv2018

Genetic effect of type 2 Diabetes to the progression of Neurological Diseases

Neurological Diseases (NDs) are progressive disorder often advances with age and comorbidities of Type 2 diabetes (T2D). Epidemiological, clinical and neuropathological evidence advocate that patients with T2D are at an increased risk of getting NDs. However, it is very little known how T2D affects the risk and severity of NDs.\n\nTo tackle these problems, we employed a transcriptional analysis of affected tissues using agnostic approaches to identify overlapping cellular functions. In this study, we examined gene expression microarray human datasets along with control and disease-affected individuals. Differentially expressed genes (DEG) were identified for both T2D and NDs that includes Alzheimer Disease (AD), Parkinson Disease (PD), Amyotrophic Lateral Sclerosis (ALS), Epilepsy Disease (ED), Huntington Disease (HD), Cerebral Palsy (CP) and Multiple Sclerosis Disease (MSD).\n\nWe have developed genetic association and diseasome network of T2D and NDs based on the neighborhood-based benchmarking and multilayer network topology approaches. Overlapping DEG sets go through protein-protein interaction for hub protein identification and gene enrichment using pathway analysis and gene ontology methods that enhance our understanding of the fundamental molecular procedure of NDs progression.\n\nGene expression analysis platforms have been extensively used to investigate altered pathways and to identify potential biomarkers and drug targets. Finally, we validated our identified biomarkers using the gold benchmark datasets which identified the corresponding relationship of T2D and NDs. Therapeutic targets aimed at attenuating identified altered pathway could ameliorate neurological dysfunction in a T2D patient.

bioinformatics↗

bioRxiv2018

Comparative transcriptome and proteome profiling of the chlorophyll metabolism pathway in four cultivars of Magnolia officinalis

Magnolia officinalis is an important herb in Chinese medicine that has good therapeutic effects on gastrointestinal motility and helps regulate the spleen and stomach. Magnolia officinalis Rehd.et Wils. (abbreviated as CH) Magnolia officinalis Rehd.et Wils. var. biloba DaAoye (abbreviated as DA) Magnolia officinalis Rehd.et Wils. var. biloba XiaoAoye (abbreviated as XA)Magnolia officinalis Rehd.et Wils. var. biloba Liuye (abbreviated as LY) are the four main cultivars in Dujiangyan city, Sichuan province in China, and DA has better medicinal effects and higher levels of green pigment than the other three cultivars. Proteomics research not only provides new insights into protein expression patterns but also enables the identification of many attractive candidates for further research on the effects of pesticides on chlorophyll metabolism in Magnolia officinalis. Transcriptome and proteome analysis of the four main Magnolia officinalis cultivars in Sichuan province in China identified 125,100 unigenes and 6,012 proteins. Proteomic data and parallel reaction monitoring (PRM) revealed that porphobilinogen deaminase, uroporphyrinogen decarboxylase, oxygen-dependent coproporphyrinogen-III oxidase, protoporphyrinogen oxidase 1, magnesium protoporphyrin IX methyltransferase, magnesium-protoporphyrin IX monomethyl ester oxidative cyclase, and protochlorophyllide reductase-like protein, all of which are involved in chlorophyll synthesis, have higher expression levels in DA than in the other three cultivars. This finding is consistent with the observation that DA has the highest concentration of chlorophyll (37.56 mg/g Fw) of the four cultivars. This research is beneficial to the understanding of the differences in the growth of the four cultivars on the molecular level.

bioinformatics↗

bioRxiv2018

Characterization of glutamatergic VTA neural population responses to aversive and rewarding conditioning in freely-moving mice

The Ventral Tegmental Area (VTA) is a midbrain structure known to integrate aversive and rewarding stimuli, a function involving VTA Dopaminergic and GABAergic neurons. VTA also contains a less known population: glutamatergic (VGluT2) neurons. Direct activation of VGluT2 soma evokes rewarding behaviors, while stimulation of their axonal projections to the Nucleus Accumbens (NAc) and the Lateral Habenula (LHb) evokes aversive behaviors. Here, a systematic investigation of the VTAVGluT2+ population response to aversive or rewarding conditioning facilitated our understanding these conflicting properties. We recorded calcium signals from VTA glutamatergic population neurons using fiber photometry in VGluT2-cre mice to investigate how the VTA glutamatergic neuronal population was recruited by aversive and rewarding stimulation, both during unconditioned and conditioned protocols. Our results revealed that, as a population, VTAVGluT2+ neurons responded similarly to unconditioned-aversive and unconditioned-rewarding stimulation. During aversive and rewarding conditioning, the CS-evoked responses gradually increased across trials whilst the US-evoked response remained stable. Retrieval 24 h after conditioning, during which mice received only CS presentation, resulted in VTAVGluT2+ neurons strongly responding to CS presentation and to the expected-US but only for aversive conditioning. The inputs and outputs of VTAVGluT2+ neurons were then investigated using Cholera Toxin B (CTB) and rabies virus, and we propose based on all results that VTAVGluT2+ neurons specialized function may be partially due to their connectivity.

neuroscience↗