Biology subjects

Shi, C.

Publications and source records attributed to Shi, C..

140 records · Page 8Linked to original sources

bioRxiv2020

SMRT sequencing yields the chromosome-scale reference genome of tea tree, Camellia sinensis var. sinensis

Tea is the oldest and most popular nonalcoholic beverage consumed in the world. It provides abundant secondary metabolites that account for its diverse flavors and health benefits. Here we present the first high-quality chromosome-length reference genome of C. sinensis var. sinensis using long read single-molecule real time (SMRT) sequencing and Hi-C technologies to anchor the [~]2.85-Gb genome assembly into 15 pseudo-chromosomes with a scaffold N50 length of [~]195.68 Mb. We annotated at least 2.17 Gb ([~]74.13%) of repetitive sequences and high-confidence prediction of 40,812 protein-coding genes in the [~]2.92-Gb genome assembly. This accurately assembled genome allows us to comprehensively annotate functionally important gene families such as those involved in the biosynthesis of catechins, theanine and caffeine. The contiguous genome assembly provides the first view of the repetitive landscape allowing us to accurately characterize retrotransposon diversity. The large tea tree genome is dominated by a handful of Ty3-gypsy long terminal repeat (LTR) retrotransposon families that recently expanded to high copy numbers. We uncover the latest bursts of numerous non-autonomous LTR retrotransposons that may interfere with the propagation of autonomous retroelements. This reference genome sequence will largely facilitate the improvement of agronomically important traits relevant to the tea quality and production.

genomics↗

bioRxiv2019

Chromatin-based techniques map DNA interaction landscapes in psoriasis susceptibility loci and highlight KLF4 as a target gene in 9q31

Genome-wide association studies (GWAS) have uncovered many genetic risk loci for psoriasis, yet many remain uncharacterised in terms of the causal gene and their biological mechanism in disease. Here, we use a disease-focused Capture Hi-C experiment to link psoriasis-associated variants with their target genes in psoriasis-relevant cell lines (HaCaT keratinocytes and My-La CD8+ T cells). We confirm previously assigned genes, suggest novel candidates and provide evidence for complexity at psoriasis GWAS loci. In the 9q31 risk locus we combine further epigenomic evidence to demonstrate how the psoriasis association forms a functional interaction with the distant (>500 kb) KLF4 gene. We use CRISPR activation coupled with RNA-seq to demonstrate how activation of psoriasis-associated enhancers upregulates KLF4 in HaCaT cells. Our study design provides a robust pipeline for following up on GWAS disease-associated variants, paving the way for functional translation of genetic findings into clinical benefit.

genomics↗

bioRxiv2019

Exploring the overlap between rheumatoid arthritis susceptibility loci and long non-coding RNA annotations

Whilst susceptibility variants for many complex diseases, such as rheumatoid arthritis (RA), have been well characterised, the mechanism by which risk is mediated is still unclear for many loci. This is especially true for the majority of variants that do not affect protein-coding regions. lncRNA represent a group of molecules that have been shown to be enriched amongst variants associated with RA and other complex diseases, compared to random variants. In order to establish to what degree direct disruption of lncRNA may represent a potential mechanism for mediating RA susceptibility, we chose to further explore this overlap. By testing the ability of annotated features to improve a model of disease susceptibility, we were able to demonstrate a local enrichment of enhancers from immune-relevant cell types amongst RA susceptibility variants (log2 enrichment 3.40). This was not possible for lncRNA annotations in general, however a small, but significant enrichment was observed for immune-enriched lncRNA (log2 enrichment 0.867002). This enrichment was no longer apparent when the model was conditioned on immune-relevant enhancers (log2 enrichment -0.372734), suggesting that direct disruption of lncRNA sequence, independent of enhancer disruption, does not represent a major mechanism by which susceptibility to complex diseases is mediated. Furthermore, we demonstrated that, in keeping with general lncRNA characteristics, immune-enriched lncRNA are expressed at low levels that may not be amenable to functional characterisation.

genetics↗

bioRxiv2019

Complete chloroplast genomes of 14 mangroves: phylogenetic and genomic comparative analyses

Mangroves are main components of an ecosystem which connect land and ocean and is of significant ecological importance. They are found around the world and taxonomically distributed in 17 families. Until now there has been no evolutionary phylogenetic analyses on mangroves based on complete plastome sequences. In order to infer the relationship between mangroves and terrestrial plants at the molecular level, we generated chloroplast genomes of 14 mangrove species from eight families, spanning six orders: Fabales (Pongamia pinnata), Lamiales (Avicennia marina), Malpighiales (Excoecaria agallocha, Bruguiera sexangula, Kandelia obovata, Rhizophora stylosa, Ceriops tagal), Malvales (Hibiscus tiliaceus, Heritiera littoralis, Thespesia populnea), Myrtales (Laguncularia racemose, Sonneratia ovata, Pemphis acidula), and Sapindales (Xylocarpus moluccensis). The whole-genome length of these chloroplasts is from 149kb to 168kb. They have a conserved structure, with two Inverted Repeat (IRa and IRb, ~25.8kb), a large single-copy region (LSC, ~89.0kb), a short single-copy (SSC, ~18.9kb) region, as well as ~130 genes (85 protein-coding, 37 tRNA, and 8 rRNA). The number of simple sequence repeats (SSRs) varied between mangrove species. Phylogenetic analysis using complete chloroplast genomes of 71 mangrove and land plants, confirmed the previously reported phylogeny within rosids, including the positioning of obscure families such as Linaceae within Malpighiales. Most mangrove chloroplast genes are conserved and we found six genes subjected to positive or neutral selection. Genomic comparison showed IR regions have lower divergence than other regions. Our study firstly reported several plastid genetic resource for mangroves, and the determined evolutionary locations as well as comparative analyses of these species provid insights into the mangrove genetic and phylogenetic research.

genomics↗

bioRxiv2019

Mutant ACTB mRNA 3′UTR Promotes Hepatocellular Carcinoma Development by Regulating miR-1 and miR-29a

In recent years, mounting studies have shown that ACTB is closely related to various tumors. Although ACTB is dysregulated in numerous cancer types, limited data are available on the potential function and mechanism of ACTB in hepatocellular carcinoma (HCC). This study evaluated the expression and biological roles of mutant ACTB mRNA 3'UTR in HCC. Transcriptome sequence and qRT-PCR analysis determined that mutant ACTB mRNA 3'UTR was high expression in HCC tissues. Luciferase reporter assay showed that the ACTB mRNA 3'UTR mutations made it easier to interact with miR-1 and miR-29a. Moreover, mutant ACTB mRNA 3'UTR regulated miR-1 and miR-29a degradation via AGO2. Furthermore, mutant ACTB mRNA 3'UTR promoted hepatocellular carcinoma cells migration and invasion in vitro and in vivo by up-regulating miR-1 target gene MET and miR-29a target gene MCL1. In a word, our study demonstrates that 3'UTR of ACTB plays a key role in the tumor growth of hepatocellular carcinoma (HCC) and highlights the molecular mechanisms of ACTB-involved cancer growth and development.

cancer biology↗

bioRxiv2019

HiChIP-Peaks: A HiChIP peak calling algorithm

MotivationHiChIP is a powerful tool to interrogate 3D chromatin organization. Current tools to analyse chromatin looping mechanisms using HiChIP data require the identification of loop anchors to work properly. However, current approaches to discover these anchors from HiChIP data are not satisfactory, having either a very high false discovery rate or strong dependence on sequencing depth. Moreover, these tools do not allow quantitative comparison of peaks across different samples, failing to fully exploit the information available from HiChIP datasets.\n\nResultsWe develop a new tool based on a representation of HiChIP data centred on the re-ligation sites to identify peaks from HiChIP datasets, which can subsequently be used in other tools for loop discovery. This increases the reliability of these tools and improves recall rate as sequencing depth is reduced. We also provide a method to count reads mapping to peaks across samples, which can be used for differential peak analysis using HiChIP data.\n\nAvailabilityHiChIP-Peaks is freely available at https://github.com/ChenfuShi/HiChIP_peaks\n\nContact: chenfu.shi@postgrad.manchester.ac.uk

bioinformatics↗

bioRxiv2019

A Bayesian Zero-Inflated Binomial Regression and Its Application in Dose-Finding Study

In early phase clinical trial, finding maximum-tolerated dose (MTD) is a very important goal. Many researches show that finding a correct MTD can improve drug efficacy and safety significantly. Usually, dose-finding trials start from very low doses, so in many cases, more than 50% patients or cohorts do not have dose-limiting toxicity (DLT), but DLT may occur suddenly and increase fast along with just two or three doses. Although some fantastic models were built to find MTD, little consideration was given to those 0 DLTs and the jump of DLTs. We developed a Bayesian zero-inflated binomial regression for dose-finding study based on Hall (2000), which analyses dose-finding data from two aspects: 1) observation of only zeros, 2) number of DLTs based on binomial distribution, so it can help us analyse if the cohorts without DLT have potential possibility to have DLT and fit the jump of DLTs.

bioinformatics↗

bioRxiv2019

The crystal structure of a cardiac calsequestrin filament reveals an atomic mechanism of calsequestrin-associated catecholaminergic polymorphic ventricular tachycardia

Mutations in the calcium-binding protein calsequestrin cause a highly lethal familial arrhythmia, catecholaminergic polymorphic ventricular tachycardia (CPVT). In vivo, calsequestrin multimerizes into filaments, but a compelling atomic-resolution structure of a calsequestrin filament is lacking. We report a crystal structure of a cardiac calsequestrin filament with supporting mutation analysis provided by an in vitro fomentation assay. We also report and characterize a novel disease-associated calsequestrin mutation, S173I, which localizes to the filament-forming interface. In addition, we show that a previously reported dominant disease mutation, K180R, maps to the same multimerization surface. Both mutations disrupt filamentation, suggesting that dominant disease arises from defects in multimer formation. A ytterbium-derivatized structure pinpoints multiple credible calcium sites at filament-forming interfaces, explaining the atomic basis of calsequestrin filamentation in the presence of calcium. This work advances our understanding of calsequestrin biochemistry and provides a unifying structure-function molecular mechanism by which dominant-acting calsequestrin mutations provoke lethal arrhythmias.

biochemistry↗

bioRxiv2019

The mineralization characteristics of organic carbon and particle composition analysis in reconstructed soil with different proportions of soft rock and sand

The organic carbon mineralization process can reflect the release intensity of soil CO2. Therefore, the study of organic carbon mineralization and particle composition analysis of soft rock and sand compound soil can provide technical support and theoretical basis for the theory of soil organic reconstruction. Based on the previous research, this paper mainly selected four typical treatments of 0:1 (CK), 1:5 (C1), 1:2 (C2) and 1:1 (C3), respectively, and analyzed the soil organic carbon mineralization process and particle composition by lye absorption method, laser particle size meter and scanning electron microscope. The results showed that there was no significant difference in organic carbon content between C1, C2 and C3 treatments, but they were significantly higher than CK treatment (P < 0.05). The organic carbon mineralization rate of each treatment accords with a logarithmic function throughout the culture period (P < 0.01), which can be divided into a rapid decline phase of 1-11 days and a steady decline phase of 11-30 days. The cumulative mineralization amount on the 11th day reached 54.96%-74.44% of the total mineralization amount. At the end of the culture, the cumulative mineralization and potential mineralizable organic carbon content of C1 and C2 treatments were significantly higher than those of CK treatment, and the cumulative mineralization rate was also the lowest with C1 and C2 treatment. The turnover rate constant of soil organic carbon in each treatment was significantly lower than that of CK treatment, and the residence time increased. With the increase of volume fraction of soft rock, the content of silt and clay particles increases gradually, the texture of soil changes from sandy soil to sandy loam, loam and silty loam, and because of the increase of small particles, the structure of soil appears to collapse when the volume ratio of soft rock was 50%. In summary, the ratio of soft rock to sand volume was 1:5-1: 2, which can effectively increased the accumulation of soil organic carbon. At this time, the distribution of soil particles was more uniform, the soil structure was stable, and the mineralization level of unit organic carbon was lower. The research results have practical significance for the large area popularization of soft rock and sand compound technology.

ecology↗

bioRxiv2018

Molecular profiles and mutation burden analysis in Chinese patients with gastric carcinoma

The goal of this work was to investigate the molecular profiles and mutation burden in Chinese patients with gastric carcinoma (GC). In total, we performed whole exome sequencing (WES) on 74 GC patients with tumor and adjacent normal formalin-fixed, paraffin-embedded (FFPE) tissue samples. The mutation spectrum of these samples showed a high concordance with TCGA and other studies on GC. We found the alterations of 17 DNA repair genes (including BRCA2, POLE and MSH3, etc.) were strongly correlated with the tumor mutation burden (TMB) and tumor neoantigen burden (TNB) of GC patients. Patients with mutations of these genes tend to have high TMB (median of TMB = 12.77, p=2.3e-6) and TNB (median of TNB = 5.97, p= 2.8e-3). In addition, younger GC patients (age < 60) have lower TMB (p = 0.0021) and TNB (p = 0.034) than older patients (age >= 60). Furthermore, we found a list of 18 genes and two genomic regions (1p36.21 and Xq26.3) were associated with peritoneal metastasis (PM) of GC, and patients with amplification of 1p36.21 and Xq26.3 have a worse prognosis (p=0.002, 0.01, respectively). Our analysis provides GC patients with potential markers for single and combination therapies.

cancer biology↗

bioRxiv2018

SCDT: Detecting CNVs of low chimeric ratio in cf-DNA

MotivationSequencing of cell-free DNA (cf-DNA) has enabled Noninvasive Prenatal Testing (NIPT) and\"liquid biopsy\" of cancers. However, while the aneuploidy and point mutations were focused on by most of NITP and liquid biopsy studies, detecting sub-chromosome CNVs that affect a few to dozens of megabases was rarely reported, likely attributable to the difficulty in accurately identifying them, especially for those present in a small fraction of cf-DNA.\n\nResultsWe developed a somatic CNV detection tool (SCDT), for detecting sub-chromosome CNVs in cf-DNA using whole genome sequencing (WGS) data or off-target reads in target sequencing data. Additional to using control samples for correcting genome position specific bias, two GC correction steps were performed, which regressed GC content of DNA fragments and that of genome bins, respectively. After GC correction, the coefficients of variation of copy ratios approximated the lower boundary of theoretical values, suggesting removing of almost all systematic errors. Finally, CNVs were detected by a piecewise least squares fitting based segmentation algorithm, which outperformed other segmentation methods. We applied SCDT on simulated and real maternal plasma samples, and target cf-DNA sequencing of 118 normal individuals and 240 cancer patients, and demonstrated high sensitivity and specificity.\n\nAvailabilitySCDT is available at https://github.com/Martiantian/Somatic_cnv_detect_tool.\n\nContactzhuhongmei@genomics.cn\n\nSupplementary InformationSupplementary data are available at Bioinformatics online

bioinformatics↗

bioRxiv2018

Different subtypes of EGFR exon19 mutation can affect prognosis of patients with non-small cell lung adenocarcinoma

AimsIn this study, we determined whether different subtypes of epidermal growth factor receptor (EGFR) exon19 mutation are associated with the therapeutic effect of EGFR-tyrosine kinase inhibitors (TKIs) on advanced non-small cell lung adenocarcinoma.\n\nMethodsA total of 122 patients with stage III or IV non-small cell lung adenocarcinoma were retrospectively reviewed. Clinical characteristics of these patients, including progression-free survival (PFS) outcome for EGFR-TKI treatment, were analyzed.\n\nResultsAccording to the mutation pattern, we classified the in-frame deletions detected on EGFR Exon19 into three different types: codon deletion (CD), with a deletion of one or more original codons; codon substitution and skipping (CSS), with a deletion of one or two nucleotides but the residues could be translated into a new amino acid without changing following amino acid sequence; CD or CSS plus single nucleotide variant (SNV) (CD/CSS+SNV), exclude CD or CSS, theres another SNV nearby the deletion region. The clinical characteristics of three groups were analyzed and as a result, no significant difference was found. By comparing the average number of missing bases and amino acids of the three mutation subtypes, it could be discovered that the number of missing bases and amino acids of the three mutation subtypes is diverse, and group CSS> group CD> group CD/CSS+SNV. Finally, survival analysis was performed between three groups of patients. The median PFS of group CD, group CSS and group CD/CSS+SNV was 11 months, 9 months and 14 months respectively. There was a distinct difference in the PFS between group CSS and group CD/CSS+SNV (P=0.035<0.05), and the PFS of group CD/CSS+SNV was longer.\n\nConclusionsDifferent mutation subtypes of EGFR exon19 can predict the therapeutic effect of EGFR-TKIs on advanced non-small cell lung adenocarcinoma.

cancer biology↗

bioRxiv2018

Sequencing of Panax notoginseng genome reveals genes involved in disease resistance and ginsenoside biosynthesis

Panax notoginseng is a traditional Chinese herb with high medicinal and economic value. There has been considerable research on the pharmacological activities of ginsenosides contained in Panax spp.; however, very little is known about the ginsenoside biosynthetic pathway. We reported the first de novo genome of 2.36 Gb of sequences from P. notoginseng with 35,451 protein-encoding genes. Compared to other plants, we found notable gene family contraction of disease-resistance genes in P. notoginseng, but notable expansion for several ATP-binding cassette (ABC) transporter subfamilies, such as the Gpdr subfamily, indicating that ABCs might be an additional mechanism for the plant to cope with biotic stress. Combining eight transcriptomes of roots and aerial parts, we identified several key genes, their transcription factor binding sites and all their family members involved in the synthesis pathway of ginsenosides in P. notoginseng, including dammarenediol synthase, CYP716 and UGT71. The complete genome analysis of P. notoginseng, the first in genus Panax, will serve as an important reference sequence for improving breeding and cultivation of this important nutraceutical and medicinal but vulnerable plant species.

genomics↗

bioRxiv2018

The Roles of Different Spatial Frequency Channels in Real-World Visual Motion Perception

Speed perception is an important task performed by our visual system in various daily life tasks. In various psychophysical tests, relationship between spatial frequency, temporal frequency, and speed has been examined in human subjects. The role of vision impairment in speed perception has also been previously examined. In this work, we examine the inter-relationship between speed, spatial frequency, low vision conditions, and the type of input motion stimuli in motion perception accuracy. For this purpose, we propose a computational model for speed perception and evaluate it in custom generated natural and stochastic sequences by simulating low-vision conditions (low pass filtering at different cutoff frequencies) as well as complementary vision conditions (high pass versions at the same cutoff frequencies). Our results show that low frequency components are critical for accurate speed perception, whereas high frequencies do not play any important role in speed estimation. Since perception of low frequencies may not be impaired in visual acuity loss, speed perception was not found to be impaired in low vision conditions compared to normal vision condition. We also report significant differences between natural and stochastic stimuli, notably an increase in speed estimation error when using stochastic stimuli compared to natural sequences, emphasizing the use of natural stimuli when performing future psychophysical studies for speed perception.

neuroscience↗