Biology subjects

Lin, C.

Publications and source records attributed to Lin, C..

At least 163 records · Page 9Linked to original sources

bioRxiv2019

Principles of 3D Nucleus Organization and Epigenetic Regulation in Diploid Genome Revealed by Multi-omic Data from Hybrid Mouse

Most mammalian genomes are diploid and previous studies have extensively investigated the average epigenetic profiles of homologous chromosomes. Here we use hybrid mice to distinguish the epigenetic status and three-dimensional organization of homologous chromosomes. We generated Hi-C, ChIP-seq and RNA-seq datasets from CD4 T cells of B6, Cast and hybrid mice, respectively, and systematically analyzed the 3D nucleus organization and epigenetic regulation. Our data indicate that the inter-chromosomal interaction patterns between homologous chromosomes are similar and the similarity is highly correlated with their allelic co-expression levels. Construction of 3D nucleus based on allele-specific interaction frequency revealed symmetric positioning of homologous chromosomes in the 3D nuclear space. The inter-chromosomal interactions at centromeres are significantly weaker than those at telomeres, indicating positioning of centromeres toward the inside of chromosome territories and telomeres toward the surface of chromosome territories. The majority A|B compartments or topologically associated domains (TADs) are consistent between B6 and Cast. We found 58% of the haploids in hybrids maintain their parental compartment status at B6/Cast divergent compartments due to cis-effect. About 95% of the trans-effected B6/Cast divergent compartments converge to same compartment status potentially due to a shared cellular environment. We found the differentially expressed genes between the two haploids in hybrid were associated with either genetic associated cis-effects or epigenetic associated trans-effects. The widespread epigenetic differences between B6 and Cast suggest that epigenetic changes may be major contributors to differences between B6 and Cast. Our data revealed symmetrical positioning of homologous chromosomes in 3D nucleus and enhanced our understanding of allele-specific epigenetic regulation.

genomics↗

bioRxiv2019

CpG-ODN 2007 protects zebrafish against Vibrio vulnificus-induced infection

Vibrio vulnificus (V. vulnificus) is an aquatic pathogen that can cause primary sepsis and soft tissue infection. CpG oligodeoxynucleotides (CpG-ODN) are a type of essential immunomodulators, which can trigger or enhance immune responses in mammals, fish, and humans. In this study, we evaluated the effect of CpG-ODN 2007 as a potential immunostimulant for zebrafish infected with V. vulnificus (FJ03-X2). Fish injected with the CpG-ODN 2007 showed lower mortality rate compared with the fish that did not receive treatment. The survival rates of CpG-ODN 2007-treated group and PBS-treated group were 85% and 57.9%, respectively. In addition, our in vitro results demonstrated that CpG-ODN 2007 can effectively reduce the toxicity of V. vulnificus (FJ03-X2) to zebrafish embryonic fibroblast (ZF4) cells. Furthermore, we assessed immune-related genes expression patterns in FJ03-X2 infected zebrafish or ZF4 cells with and without CpG-ODN 2007 treatment, such as TLRs and IL-1{beta}. To sum up, our data indicated that CpG-ODN 2007 protects zebrafish against Vibrio vulnificus induced infection.

immunology↗

bioRxiv2019

Lyb-2-4, a unique genomic region of hypervirulent carbapenem-resistant Acinetobacter baumannii

Acinetobacter baumannii is an important human pathogen due to its multi-drug resistance, but is usually with low-grade virulence. Although a mouse model revealed different virulence grades of clinical carbapenem-resistant A. baumannii (CRAB) strains, the genetic basis remains unknown. We collected 61 CRAB isolates from intensive care unit of Shenzhen Peoples Hospital (Shenzhen, China), and analyzed them used whole genome sequencing (WGS), multilocus sequence typing (MLST) and core genome MLST (cgMLST), transmission chain reconstruction and Comparative genomic tools. A mouse pneumonia model was used to confirm the hypervirulent phenotype. Eleven complex types (CT) were identified based on core genome multilocus sequence typing scheme. CT512 showed higher transmissibility and bloodstream infection rates than other CTs. A genomic region Lyb-2-4 was shared by CT512 and CT2092 but not CT2085. The mortality rates of patient infected with CRAB harboring Lyb-2-4 was significantly higher than those infected with CRAB isolates without Lyb-2-4 (77.8% vs 24.5%, p < 0.01). In the mouse model, the survival rates of strains containing the Lyb-2-4 region (LAC-4, 5122 and 2092) were significantly lower than for strains without Lyb-2-4 (7152, 71517, 20859 and ATCC17978). One open reading frame (ORF) was a marker for the presence of Lyb-2-4, and PCR of a segment of this ORF, designated as hvcT, served as a tag for hypervirulent CRAB. Our study should be very useful in advising the clinician to implement medical intervention earlier, and also making the worldwide surveillance of these hypervirulent CRAB strains easier.\n\nIMPORTANCEHypervirulent CRAB strains are expected to pose a threat to human health because infection of these strains is associated with high mortality and multidrug resistance. The rapid hypervirulent CRAB identification assay will facilitate prompt medical intervention. Our findings should provoke surveillance for hypervirulent CRAB strains harboring Lyb-2-4 in other countries. Further research should focus on the mechanism of hypervirulence, the acquisition of this genomic region and the development of control measures to prevent further dissemination.

microbiology↗

bioRxiv2019

Genome-wide analysis of GATA factors in moso bamboo (Phyllostachys edulis) unveils that PeGATAs regulate shoot rapid-growth and rhizome development

BackgroundMoso bamboo is well-known for its rapid-growth shoots and widespread rhizomes. However, the regulatory genes of these two processes are largely unexplored. GATA factors regulate many developmental processes, but its role in plant height control and rhizome development remains unclear.\n\nResultsHere, we found that bamboo GATA factors (PeGATAs) are involved in the growth regulation of bamboo shoots and rhizomes. Bioinformatics and evolutionary analysis showed that there are 31 PeGATA factors in bamboo, which can be divided into three subfamilies. Light, hormone, and stress-related cis-elements were found in the promoter region of the PeGATA genes. Gene expression of 12 PeGATA genes was regulated by phytohormone-GA but there was no correlation between auxin and PeGATA gene expression. More than 27 PeGATA genes were differentially expressed in different tissues of rhizomes, and almost all PeGATAs have dynamic gene expression level during the rapid-growth of bamboo shoots. These results indicate that PeGATAs regulate rhizome development and bamboo shoot growth partially via GA signaling pathway. In addition, PeGATA26, a rapid-growth negative regulatory candidate gene modulated by GA treatment, was overexpressed in Arabidopsis, and over-expression of PeGATA26 significantly repressed Arabidopsis primary root length and plant height. The PeGATA26 overexpressing lines were also resistant to exogenous GA treatment, further emphasizing that PeGATA26 inhibits plant height from Arabidopsis to moso bamboo via GA signaling pathway.\n\nConclusionsOur results provide an insight into the function of GATA transcription factors in regulating shoot rapid-growth and rhizome development, and provide genetic resources for engineering plant height.

plant biology↗

bioRxiv2019

Musculoskeletal fat imaging and quantification by high-resolution metabolite cycling magnetic resonance spectroscopic imaging at 3 T: A fast method to generate separate distribution maps of lipid components

PurposeTo provide a rapid, non-invasive fat quantification technique capable of producing separate lipid component maps.\n\nMethodsThe calf muscles in 5 healthy adolescents (age 12-16 years; BMI = 20 {+/-} 3 Kg/m2) were scanned by two different fat fraction (FF) quantification methods. A high-resolution, density-weighted concentric ring trajectory (DW-CRT) metabolite cycling (MC) magnetic resonance spectroscopic imaging (MRSI) technique was implemented to collect data with 0.25 mL resolution within 3 minutes and 16 seconds. For comparative purposes, the standard Dixon technique was performed. The two techniques were compared using structural similarity (SSIM) analysis. Additionally, the difference in the distribution of each lipid over the adolescent calf muscles was assessed based on the MRSI data.\n\nResultsThe proposed MRSI technique provided individual FF maps for eight musculoskeletal lipids identified by LCModel analysis (L09, L11, L13, L15, L21, L23, L53, and L55) with mean SSIM indices of 0.19, 0.04, 0.03, 0.50, 0.45, 0.04, 0.07, and 0.12, respectively compared to that of Dixons FF map. Further analysis of voxels with zero SSIM demonstrated an increased sensitivity of FF lipid maps from data acquired using this MRSI technique over the standard Dixon technique. The trend of lipid spatial distribution over calf muscles was consistent with previously published findings in adults.\n\nConclusionThe advantages of this MRSI technique make it a useful tool when individual lipid FF maps are desired within a short scanning time.

biochemistry↗

bioRxiv2019

Conformational Dynamics of Nonenveloped Circovirus Capsid to the Host Cell Receptor

Circovirus, comprising one capsid protein, is the smallest nonenveloped virus and induces lymphopenia. Circovirus can be used to explore the cell adhesion mechanism of nonenveloped viruses. We developed a single-molecule fluorescence resonance energy transfer (smFRET) assay to directly visualize the capsids conformational feature. The capsid underwent reversible dynamic transformation between three conformations. The cell surface receptor heparan sulfate (HS) altered the dynamic equilibrium of the capsid to the high-FRET state, revealing the HS binding region. Neutralizing antibodies restricted capsid transition to a low-FRET state, masking the HS binding domain. The lack of positively charged amino acids in the HS binding site reduced cell surface affinity and attenuated virus infectivity via conformational changes. These intrinsic characteristics of the capsid suggested that conformational dynamics is critical for the structural changes occurring upon cell surface receptor binding, supporting a dynamics-based mechanism of receptor binding.\n\nImportanceViral proteins were commom working as ligand to interacte with cell surface glycosaminoglycan receptors to achieve the virus attachment, during which the conformational dynamics of the protein ligand are also vital for the binding properties. In this study, PCV2 capsid and heparin sulfate were used to study the protein conformational dynamics of nonenveloped and icosahedral circovirus capsid during triggering to cell surface receptor. we demonstrated the PCV2 capsid could acts as a dynamic machine, spontaneously adopting multiple conformations with reversible interconversion and intrinsic conformational features could be regulated by glycosaminoglycan receptors and neutralizing antibodies. These increased our understanding of the mechanism by which nonenveloped virus attach to cells.

microbiology↗

bioRxiv2019

Multiple Measures Reveal The Value of Both Race And Geographic Ancestry For Self-Identification

There is long-standing tension regarding whether and how to use race or geographic ancestry in biomedical research. We examined multiple self-reported measures of race and ancestry from a cohort of over 100,000 U.S. residents alongside genetic data. We found that these measures are often non-overlapping, and that no single self-reported measure alone provides a better fit to genetic ancestry than a combination including both race and geographic ancestry. We also found that patterns of reporting for race and ancestry appear to be influenced by participation in direct-to-consumer genetic ancestry testing. Our results demonstrate that there is a place for the language of both race and geographic ancestry as we seek to empower individuals to fully describe their family history in research and medicine.\n\nOne Sentence SummarySelf-identification in the United States according to both racial and geographic terms best reflects genetic ancestry in individuals.

genetics↗

bioRxiv2019

The full-length transcriptome of Spartina alterniflora reveals the complexity of high salt tolerance in monocotyledonous halophyte

Spartina alterniflora (Spartina) is the only halophyte in the salt marsh. However, the molecular basis of its high salt tolerance remains elusive. In this study, we used PacBio full-length single molecule long-read sequencing and RNA-seq to elucidate the transcriptome dynamics of high salt tolerance in Spartina by salt-gradient experiments (0, 350, 500 and 800 mM NaCl). We systematically analyzed the gene expression diversity and deciphered possible roles of ion transporters, protein kinases and photosynthesis in salt tolerance. Moreover, the co-expression network analysis revealed several hub genes in salt stress regulatory networks, including protein kinases such as SaOST1, SaCIPK10 and three SaLRRs. Furthermore, high salt stress affected the gene expression of photosynthesis through down-regulation at the transcription level and alternative splicing at the post-transcriptional level. In addition, overexpression of two Spartina salt-tolerant genes SaHSP70-I and SaAF2 in Arabidopsis significantly promoted the salt tolerance of transgenic lines. Finally, we built the SAPacBio website for visualizing the full-length transcriptome sequences, transcription factors, ncRNAs, salt-tolerant genes, and alternative splicing events in Spartina. Overall, this study sheds light on the high salt tolerance mechanisms of monocotyledonous-halophyte and demonstrates the potential of Spartina genes for engineering salt-tolerant plants.

plant biology↗

bioRxiv2019

Early Stem Cell Aging in the Mature Brain

Stem cell dysfunction drives many age-related disorders. Identifying mechanisms that initially compromise stem cell function represent early targets to enhance stem cell behavior later in life. Here, we pinpoint multiple factors that disrupt neural stem cells (NSC) in the adult hippocampus. We find that NSCs exhibit asynchronous maintenance by identifying short-term (ST-NSC) and intermediate-term NSCs (IT-NSCs). ST-NSC divide rapidly to generate neurons and deplete in the young brain. Meanwhile, multipotent IT-NSCs persist for months, but are pushed out of homeostasis by lengthening quiescence. Single cell transcriptome analysis of deep NSC quiescence revealed several hallmarks of biological aging in the mature brain and identified tyrosine-protein kinase Abl1 as an NSC pro-aging factor. Treatment with the Abl-inhibitor Imatinib increased NSC proliferation without impairing NSC maintenance in the middle-aged brain. Further intersectional analysis of mature NSC with old epidermal, hematopoietic and muscle stem cell transcriptomes identified consensus changes in stem cell aging. Our study elucidates multiple origins of adult neurogenesis decline and reveals that hippocampal NSCs are particularly vulnerable to a shared stem cell aging signature.

neuroscience↗

bioRxiv2019

Predicting the prognosis of non-small cell lung cancer by integrating microarray and clinical data with deep learning

AO_SCPLOWBSTRACTC_SCPLOWNon-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate prognostic stratification of NSCLC can become an important clinical reference when designing therapeutic strategies for cancer patients. With this clinical application in mind, we developed a deep neural network (DNN) combining heterogeneous data sources of gene expression and clinical data to accurately predict the prognosis of NSCLC patients. Based on microarray data from a cohort set (614 patients), seven well-known NSCLC markers were used to group patients into marker- and marker+ subgroups. Using a systems biology approach, prognosis relevance values (PRV) were then calculated to select eight additional novel prognostic gene markers. Gene markers along with clinical data were then used to develop an integrative DNN via bimodal learning to predict the 5-year survival rate of NSCLC patients with tremendously high accuracy (AUC: 0.8163, accuracy: 75.44%), which is superior to all other existing methods based on AUC. Using the capability of deep learning, we believe that our predicted cancer prognosis can be a promising index helping oncologists and physicians develop personalized therapy and build the foundation of precision medicine in the future.

bioinformatics↗

bioRxiv2019

A Clostridia-rich microbiota contributes to increased excretion of bile acids in diarrhea-predominant irritable bowel syndrome

ObjectiveAn excess of fecal bile acids (BAs) is thought to be one of the mechanisms for diarrhea-predominant irritable bowel syndrome (IBS-D). However, the factors causing excessive BA excretion remains unclear. Given the importance of gut microbiota in BA metabolism, we hypothesized that gut dysbiosis might contribute to excessive BA excretion in IBS-D.\n\nDesignMetabolomic and metagenomic analyses were performed of specimens from 290 IBS-D patients and 89 healthy volunteers. By transplanting human microbiota and manipulating specific microbiome species in mice, the effects of microbiota on host BA metabolism were assessed at metabolic, genetic and protein levels. Effects of individual and mixed BAs on enterohepatic feedback pathways were also tested in vitro and in vivo.\n\nResultsTotal fecal BAs were excessively excreted in 24.5% of IBS-D patients. Their fecal metagenomes showed increased abundances of Clostridia and BA-transforming genes (hdhA and bais). The increases of Clostridia bacteria (e.g. C. scindens) were positively associated with the levels of fecal BAs and serum 7-hydroxy-4-cholesten-3-one (C4), while being negatively correlated with serum fibroblast growth factor 19 (FGF19). Both Clostridia-rich human microbiota and C. scindens enhanced levels of serum C4 and hepatic conjugated BAs in mice recipients and reduced ileal FGF19 expression. Inhibition of Clostridium species by vancomycin yielded opposite findings. Clostridia-derived BAs (e.g. conjugated and free ursodeoxycholic acid) significantly suppressed intestinal FGF19 expression.\n\nConclusionThe Clostridia-rich microbiota contributes to excessive BA excretion in IBS-D patients. This study provided the basis for more precise clinical diagnosis and management for IBS-D.

microbiology↗

bioRxiv2019

The Role of the Public Health Service Equalization Program in the Control of Hypertension in China: Results from a Cross-sectional Health Interview Survey

ObjectivesNon-communicable diseases (NCDs) have become the main cause of mortality in China. In 2009, the Chinese government introduced the Public Health Service Equalization (PHSE) program to restore the primary healthcare system in both essential medical care and public health service provision. This study evaluates the impact of management on hypertension control and evaluate how the program works.\n\nMethodsThe China National Health Development Research Centre (CNHDRC) undertook the Cross-sectional Health Service Interview Survey (CHSIS) of 62,097 people from primary healthcare reform pilot areas, across 17 provinces from eastern, central and western parts of China in 2014. This study is based on CHSIS survey responses from 9,607 participants, who had been diagnosed with hypertension. Regression analysis was used to estimate the impact of management provided under PHSE on hypertension control adjusting for the effects of other known determinants of hypertension control.\n\nFindingsUncontrolled hypertension was markedly lower among respondents, whose hypertension had been managed (22.4% in managed patients versus 31.1% in unmanaged patients, p<0.001). The interaction between PHSE management and the geographical region was highly significant in the model (p<0.001), suggesting that the PHSE program was not equally effective in all regions. Further analysis suggested that approximately 10% of regional variability was attributed to differences in administrative systems, as there was a significant association (P=0.014) between the presence of established regional Information Management Systems (IMS) and increased PHSE effectiveness. Insurance ({chi}2(5)=4.4, p=0.496) and Hukou ({chi}2(1)=2.4, p=0.121), which denote social security and urban rural differences, respectively, were not significant predictor of hypertension control.\n\nConclusionActive management of hypertension through the PHSE program was effective with 7.31 million more patients receiving hypertension control and equalization of service delivery was reflected to some extent. The link between established IMS and regional variability in the impact of PHSE highlights the importance of effective management of patient referrals and follow-up. Further investigation is needed to explore the factors that influence the effectiveness of PHSE.

scientific communication and education↗

bioRxiv2019

Single-cell Lineage Tracing by Integrating CRISPR-Cas9 Mutations with Transcriptomic Data

Recent studies combine two novel technologies, single-cell RNA-sequencing and CRISPR-Cas9 barcode editing for elucidating developmental lineages at the whole organism level. While these studies provided several insights, they face several computational challenges. First, lineages are reconstructed based on noisy and often saturated random mutation data. Additionally, due to the randomness of the mutations, lineages from multiple experiments cannot be combined to reconstruct a consensus lineage tree. To address these issues we developed a novel method, LinTIMaT, which reconstructs cell lineages using a maximum-likelihood framework by integrating mutation and expression data. Our analysis shows that expression data helps resolve the ambiguities arising in when lineages are inferred based on mutations alone, while also enabling the integration of different individual lineages for the reconstruction of a consensus lineage tree. LinTIMaT lineages have better cell type coherence, improve the functional significance of gene sets and provide new insights on progenitors and differentiation pathways.

bioinformatics↗

bioRxiv2019

A programmable DNA-origami platform for studying protein-mediated lipid transfer between bilayers

Non-vesicular lipid transport between bilayers at membrane contact sites plays important physiological roles. Mechanistic insight into the action of lipid transport proteins localized at these sites (bridge/tunnel versus shuttle models) requires a determination of the distance between bilayers at which this transport can occur. Here, we developed DNA-origami nanostructures to organize size-defined liposomes at precise distances and used them to study lipid transfer by the SMP domain of E-Syt1. Pairs of DNA ring-templated donor and acceptor liposomes were docked through DNA pillars, which determined their distance. The SMP domain was anchored to donor liposomes via an unstructured linker and lipid transfer was assessed via a FRET-based assay. We show that lipid transfer can occur over distances that exceed the length of SMP dimer, compatible with a shuttle model. The DNA nanostructures developed here can be adapted to study other processes occurring where two membranes are closely apposed to each other.

biochemistry↗

bioRxiv2019

Quantification of biomolecular dynamics inside real and synthetic nuclear pore complexes using time-resolved atomic force microscopy

Over the past decades, atomic force microscopy (AFM) has emerged as an increasingly powerful tool to study the dynamics of biomolecules at nanometre length scales. However, the more stochastic the nature of such biomolecular dynamics, the harder it becomes to distinguish them from AFM measurement noise. Rapid, stochastic dynamics are inherent to biological systems comprising intrinsically disordered proteins. One role of such proteins is in the formation of the transport barrier of the nuclear pore complex (NPC): the selective gateway for macromolecular traffic entering or exiting the nucleus. Here, we use AFM to observe the dynamics of intrinsically disordered proteins from two systems: the transport barrier of native NPCs, and the transport barrier of a mimetic NPC made using a DNA origami scaffold. Analysing data recorded with 50-200 ms temporal resolution, we highlight the importance of drift correction and appropriate baseline measurements in such experiments. In addition, we describe an auto-correlation analysis to quantify time scales of observed dynamics and to assess their veracity -- an analysis protocol that lends itself to the quantification of stochastic fluctuations in other biomolecular systems. The results reveal the surprisingly slow rate of stochastic, collective transitions inside mimetic NPCs, highlighting the importance of FG-nup cohesive interactions.

biophysics↗

bioRxiv2019

Molecular subtyping and prognostic assessment based on tumor mutation burden in patients with lung adenocarcinomas

Tumor mutation burden (TMB) is a potential biomarker for response to immunotherapy. The subset of patients with TMB has not been well characterized in lung adenocarcinomas. Here we performed molecular subtyping based on TMB and compared the features of different subtypes including clinical features, somatic driver genes and mutational signatures. We found that patients with lower tumor mutation burden had a longer disease-free survival, while higher tumor mutation burden is associated with smoking and aging. Analysis of somatic driver genes and mutational signatures demonstrates a significant association between somatic RYR2 mutations and the subtype with higher mutation burden. Overall, our study identified two molecular subtypes based on TMB and described the corresponding difference in their clinical and genomic levels.

genomics↗

bioRxiv2019

Gene Panel Sequencing in a Chinese High-risk Breast Cancer Cohort

Currently, over 20 genes have been defined that can confer susceptibility for high-risk breast cancer. Although research has proved the utility of multiple-gene sequencing in the assessment of breast cancer risk, there is little data from China patients. Here, we use a multiple-gene sequencing panel to identify the variant spectrum in Chinese high-risk breast cancer subjects.\n\nA total of 829 Chinese high-risk breast cancer patients participated in the research. The coding regions of 115 hereditary cancer susceptibility genes were sequenced using a next generation sequencing platform. In total, 193 pathogenic variants were identified in 45 genes from 177 patients. The pathogenic variant carrier rate is 21.4%: with 10.5% patients carrying a BRCA1 or BRCA2 mutation only, 10.0% of patients carried non-BRCA gene mutations only, while 1.0% of patients carried both a BRCA1/2 and a non-BRCA gene mutation. Variants of uncertain significance (VUS) totaling 2632 were identified in 115 genes from 787 of 829 patients: 82.5% patients carried more than one VUS, and only 5.1% patients did not carry any VUS. Families carrying pathogenic variants were tracked and adenoma was founded in three of them. Our data provide a comprehensive analysis of potential susceptibility variations of high-risk for breast cancer in a Chinese population. This data will be useful for the comparison of the susceptibility variation spectrum between different populations and to discover potential pathogenic variants to improve the prevention and treatment of high-risk breast cancer.

cancer biology↗

bioRxiv2018

Cell lineage inference from SNP and scRNA-Seq data

Several recent studies focus on the inference of developmental and response trajectories from single cell NA-Seq (scRNA-Seq) data. A number of computational methods, often referred to as pseudo-time ordering, have been developed for this task. Recently, CRISPR has also been used to reconstruct lineage trees by inserting random mutations. However, both approaches suffer from drawbacks that limit their use. Here we develop a method to detect significant, cell type specific, sequence mutations from scRNA-Seq data. We show that only a few mutations are enough for reconstructing good branching models. Integrating these mutations with expression data further improves the accuracy of the reconstructed models. As we show, the majority of mutations we identify are likely RNA editing events indicating that such information can be used to distinguish cell types.

genomics↗