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Zheng, C.

Publications and source records attributed to Zheng, C..

At least 127 records · Page 7Linked to original sources

QTL Mapping in Outbred Tetraploid (and Diploid) Diallel Populations

Over the last decade, multiparental populations have become a mainstay of genetics research in diploid species. Our goal was to extend this paradigm to autotetraploids by developing software for quantitative trait locus (QTL) mapping in connected F1 populations derived from a set of shared parents. For QTL discovery, phenotypes are regressed on the dosage of parental haplotypes to estimate additive effects. Statistical properties of the model were explored by simulating half-diallel diploid and tetraploid populations with different population sizes and numbers of parents. Across scenarios, the number of progeny per parental haplotype (pph) largely determined the statistical power for QTL detection and accuracy of the estimated haplotype effects. Multi-allelic QTL with heritability 0.2 were detected with 90% probability at 25 pph and genome-wide significance level 0.05, and the additive haplotype effects were estimated with over 90% accuracy. Following QTL discovery, the software enables a comparison of models with multiple QTL and non-additive effects. To illustrate, we analyzed potato tuber shape in a half-diallel population with 3 tetraploid parents. A well-known QTL on chromosome 10 was detected, for which the inclusion of digenic dominance lowered the Deviance Information Criterion (DIC) by 17 points compared to the additive model. The final model also contained a minor QTL on chromosome 1, but higher order dominance and epistatic effects were excluded based on the DIC. In terms of practical impacts, the software is already being used to select offspring based on the effect and dosage of particular haplotypes in breeding programs.

genetics↗

Haplotype Reconstruction in Connected Tetraploid F1 Populations

In diploid species, many multi-parental populations have been developed to increase genetic diversity and quantitative trait loci (QTL) mapping resolution. In these populations, haplotype reconstruction has been used as a standard practice to increase QTL detection power in comparison with the marker-based association analysis. To realize similar benefits in tetraploid species (and eventually higher ploidy levels), a statistical framework for haplotype reconstruction has been developed and implemented in the software PolyOrigin for connected tetraploid F1 populations with shared parents. Haplotype reconstruction proceeds in two steps: first, parental genotypes are phased based on multi-locus linkage analysis; second, genotype probabilities for the parental alleles are inferred in the progeny. PolyOrigin can utilize genetic marker data from single nucleotide polymorphism (SNP) arrays or from sequence-based genotyping; in the latter case, bi-allelic read counts can be used (and are preferred) as input data to minimize the influence of genotype call errors at low depth. To account for errors in the input map, PolyOrigin includes functionality for filtering markers, inferring inter-marker distances, and refining local marker ordering. Simulation studies were used to investigate the effect of several variables on the accuracy of haplotype reconstruction, including the mating design, the number of parents, population size, and sequencing depth. PolyOrigin was further evaluated using an autotetraploid potato dataset with a 3x3 half-diallel mating design. In conclusion, PolyOrigin opens up exciting new possibilities for haplotype analysis in tetraploid breeding populations.

bioinformatics↗

Improved prime editors enable pathogenic allele correction and cancer modelling in adult mice

Prime editors (PEs) mediate genome modification without utilizing double-stranded DNA breaks or exogenous donor DNA as a template. PEs facilitate nucleotide substitutions or local insertions or deletions within the genome based on the template sequence encoded within the prime editing guide RNA (pegRNA). However, the efficacy of prime editing in adult mice has not been established. Here we report an NLS-optimized SpCas9-based prime editor that improves genome editing efficiency in both fluorescent reporter cells and at endogenous loci in cultured cell lines. Using this genome modification system, we could also seed tumor formation through somatic cell editing in the adult mouse. Finally, we successfully utilize dual adeno-associated virus (AAVs) for the delivery of a split-intein prime editor and demonstrate that this system enables the correction of a pathogenic mutation in the mouse liver. Our findings further establish the broad potential of this genome editing technology for the directed installation of sequence modifications in vivo, with important implications for disease modeling and correction.

bioengineering↗

An Integrated Clinical, Omic, and Image Atlas of an Evolving Metastatic Breast Cancer

Mechanisms of therapeutic resistance manifest in metastatic cancers as tumor cell intrinsic alterations and extrinsic microenvironmental influences that can change during treatment. To support the development of methods for the identification of these mechanisms in individual patients, we present here an Omic and Multidimensional Spatial (OMS) Atlas generated from four serial biopsies of a metastatic breast cancer patient during 3.5 years of therapy. This resource links detailed, longitudinal clinical metadata including treatment times and doses, anatomic imaging, and blood-based response measurements to exploratory analytics including comprehensive DNA, RNA, and protein profiles, images of multiplexed immunostaining, and 2- and 3-dimensional scanning electron micrographs. These data reveal aspects of therapy-associated heterogeneity and evolution of the cancers genome, signaling pathways, immune microenvironment, cellular composition and organization, and ultrastructure. We present illustrative examples showing how integrative analyses of these data provide insights into potential mechanisms of response and resistance, and suggest novel therapeutic vulnerabilities.

cancer biology↗

Ethylenediaminetetraacetic acid promotes the accumulation of nitric oxide

Ethylenediaminetetraacetic acid (EDTA) is a well-established chelating agent used in industry, agriculture, food, and medicine. However, the analysis of an EDTA-sensitive Arabidopsis thaliana mutant revealed that EDTA can significantly promote nitric oxide (NO) accumulation, indicating that EDTA has unexpected biological functions beyond its chelating activity. This finding challenges our current understanding about the effects of EDTA on biological systems. One Sentence SummaryAn analysis of ethylenediaminetetraacetic acid (EDTA)-sensitive mutants suggests that EDTA can promote the accumulation of nitric oxide.

molecular biology↗

β-Amyloid peptides tailor switching behaviors of Donor-Acceptor Stenhouse Adducts

Molecular switching plays a critical role in biological and displaying systems. Here we demonstrate the first use of peptides to operate molecular switches of donor-acceptor Stenhouse adducts (DASAs), a series of negative photochromes that are highly promising for applications ranging from smart material to biological systems. Fluorescence imaging proved A{beta}40 species could make SHA-2 more stable in the linear configuration than without peptide and decrease the rate of molecular switching. According to molecular dynamics simulation, SHA-2 bound to protein resulted in substantial changes in the tertiary structure of A{beta}40 monomer with the region of Glu22-Ala30 partially unfolded and being more exposed to water. This structural change is likely to impede the aggregation of A{beta}40, as evidenced by fluorescence and ProteoStat(R) aggresome detection experiments. SHA-2 is able to inhibit the aggregation of A{beta}40 by producing the off-pathway structures. These results open ample opportunities for optically addressable potential widely apply DASAs in the biological system based on this peptides-tailor process.

biochemistry↗

The Contributions of the Allopolyploid Parents of the Mesopolyploid Brassiceae are Evolutionarily Distinct but Functionally Compatible

The members of the tribe Brassiceae share a whole genome triplication (WGT), and one proposed model for its formation is a "two-step" pair of hybridizations producing hexaploid descendants. However, evidence for this model is incomplete, and the evolutionary and functional constraints that drove evolution after the hexaploidy are even less understood. Here we report a new genome sequence of Crambe hispanica, a species sister to most sequenced Brassiceae. Using this new genome and three others that share the hexaploidy, we traced the history of gene loss after the WGT using POInT (the Polyploidy Orthology Inference Tool). We confirm the two-step formation model and infer that there was a significant temporal gap between those two allopolyploidizations, with about a third of the gene losses from the first two subgenomes occurring prior to the arrival of the third. We also, for the 90,000 individual genes in our study, make parental "subgenome" assignments, inferring, with measured uncertainty, which of the progenitor genomes of the allohexaploidy each gene derives from. We further show that each subgenome has a statistically distinguishable rate of homoeolog losses. There is little indication of functional distinction between the three subgenomes: the individual subgenomes show no patterns of functional enrichment, no excess of shared protein-protein or metabolic interactions between their members, and no biases in their likelihood of having experienced a recent selective sweep. We propose a "mix and match" model of allopolyploidy, where subgenome origin drives homoeolog loss propensities but where genes from different subgenomes function together without difficulty.

genomics↗

Impairments in Hippocampal Place Cell Sequences during Errors in Spatial Memory

Theta and gamma rhythms temporally coordinate sequences of hippocampal place cell ensembles during active behaviors, while sharp wave-ripples coordinate place cell sequences during rest. We used a delayed match-to-place memory task to investigate whether such coordination of hippocampal place cell sequences is disrupted when memory errors occur. As rats approached a learned reward location, place cell sequences represented paths extending toward the reward location during correct trials. During error trials, paths coded by place cell sequences were significantly shorter as rats approached incorrect stop locations, with place cell sequences starting at a significantly delayed phase of the theta cycle. During rest, place cell sequences replayed representations of paths that were highly likely to end at the correct reward location during correct but not error trials. The relationship between place cell sequences and gamma rhythms, however, did not differ between correct and error trials. These results suggest that coordination of place cell sequences by theta rhythms and sharp wave-ripples is important for successful spatial memory.

neuroscience↗

NOGEA: Network-Oriented Gene Entropy Approach for Dissecting Disease Comorbidity and Drug Repositioning

Rapid development of high-throughput technologies has permitted the identification of an increasing number of disease-associated genes (DAGs), which are important for understanding disease initiation and developing precision therapeutics. However, DAGs often contain large amounts of redundant or false positive information, leading to difficulties in quantifying and prioritizing potential relationships between these DAGs and human diseases. In this study, a network-oriented gene entropy approach (NOGEA) is proposed for accurately inferring master genes that contribute to specific diseases by quantitatively calculating their perturbation abilities on directed disease-specific gene networks. In addition, we confirmed that the master genes identified by NOGEA have a high reliability for predicting disease-specific initiation events and progression risk. Master genes may also be used to extract the underlying information of different diseases, thus revealing mechanisms of disease comorbidity. More importantly, approved therapeutic targets are topologically localized in a small neighborhood of master genes on the interactome network, which provides a new way for predicting new drug-disease associations. Through this method, 11 old drugs were newly identified and predicted to be effective for treating pancreatic cancer and then validated by in vitro experiments. Collectively, the NOGEA was useful for identifying master genes that control disease initiation and co-occurrence, thus providing a valuable strategy for drug efficacy screening and repositioning. NOGEA codes are publicly available at https://github.com/guozihuaa/NOGEA.

systems biology↗

Accurate Diagnosis of Colorectal Cancer Based on Histopathology Images Using Artificial Intelligence

BackgroundAccurate and robust pathological image analysis for colorectal cancer (CRC) diagnosis is time-consuming and knowledge-intensive, but is essential for CRC patients treatment. The current heavy workload of pathologists in clinics/hospitals may easily lead to unconscious misdiagnosis of CRC based on their daily image analyses. MethodsBased on a state-of-the-art transfer-learned deep convolutional neural network in artificial intelligence (AI), we proposed a novel patch aggregation strategy for clinic CRC prediction/diagnosis using weakly labeled pathological whole slide image (WSI) patches. This approach was trained and validated using an unprecedented and enormously large number of 170,099 patches, >14,680 WSIs, from >9,631 subjects that covered diverse and representative clinical cases from multi-independent-sources across China, U.S., and Germany. ResultsOur innovative AI tool was consistently nearly perfectly agreed with (average Kappa-statistic 0.896) and even often better than most of the experienced expert pathologists when tested in diagnosing CRC WSIs from multi-centers. The average area under the receiver operating characteristics curve (AUC) of AI was greater than that of the pathologists (0.981 vs 0.970) and achieved the best performance among the application of other AI methods to CRC diagnosis. Our AI-generated heatmap highlights the image regions of cancer tissue/cells. ConclusionsThis first-ever generalizable AI system can handle large amounts of WSIs consistently and robustly without potential bias due to fatigue commonly experienced by clinical pathologists. Hence, it will drastically alleviate the heavy clinical burden of daily pathology diagnosis, and improve the treatment for CRC patients. This tool is generalizable to other cancer diagnosis based on image recognition.

pathology↗

Genome assembly and annotation of Macadamia tetraphylla

Macadamia is a kind of evergreen nut trees which belong to the Proteaceae family. The two commercial macadamia species, Macadamia integrifolia and M. tetraphylla, are highly prized for their edible kernels. Catherine et al. reported M. integrifolia genome using NGS sequencing technology. However, the lack of a high-quality assembly for M. tetraphylla hinders the progress in biological research and breeding program. In this study, we report a high-quality genome sequence of M. tetraphylla using the Oxford Nanopore Technologies (ONT) technology. We generated an assembly of 750.54 Mb with a contig N50 length of 1.18 Mb, which is close to the size estimated by flow cytometry and k-mer analysis. Repetitive sequence represent 58.57% of the genome sequence, which is strikingly higher compared with M. integrifolia. A total of 31,571 protein-coding genes were annotated with an average length of 6,055 bp, of which 92.59% were functionally annotated. The genome sequence of M. tetraphylla will provide novel insights into the breeding of novel strains and genetic improvement of agronomic traits.

genomics↗

Artesunate interacts with Vitamin D receptor to reverse mouse model of sepsis-induced immunosuppression via enhancing autophagy

Background and PurposeImmunosuppression is the predominant cause of mortality for sepsis due to failure to eradicate invading pathogens. Unfortunately, no effective and specific drugs capable of reversing immunosuppression are available for clinical use. Increasing evidence implicates vitamin D receptor (VDR) involved in sepsis-induced immunosuppression. Herein, artesunate (AS) was discovered to reverse sepsis-induced immunosuppression and its molecular mechanism is investigated. Experimental ApproachEffect of artesunate on sepsis-induced immunosuppression was investigated in mice and in vitro. VDR was predicted to be an interacted candidate of AS by bioinformatics predict, then identified using PCR and immunoblotting. VDR, ATG16L1 and NF-{kappa}B p65 were modified to investigate the alteration of ASs effect on pro-inflammatory cytokines release, bacteria clearance and autophagy activities in sepsis-induced immunosuppression. Key ResultsAS significantly reduced the mortality of cecal ligation and puncture (CLP)-induced sepsis immunosuppression mice challenged with Pseudomonas Aeruginosa, and enhanced proinflammatory cytokines release and bacterial clearance to reverse sepsis-induced immunosuppression in vivo and in vitro. Mechanically, AS interacted with VDR thereby inhibited the nuclear translocation of VDR, then influencing ATG16L1 transcription and subsequent autophagy activity. In addition, AS inhibited physical interaction between VDR and NF-{kappa}B p65 in LPS tolerance macrophages, then promoted nuclear translocation of NF-{kappa}B p65, which activated the transcription of NF-{kappa}B p65 target genes such as pro-inflammatory cytokines. Conclusion and ImplicationsOur findings provide an evidence that AS interacted with VDR to reverse sepsis-induced immunosuppression in an autophagy and NF-{kappa}B dependent way, highlighting a novel approach for sepsis treatment and drug repurposing of AS in the future.

pharmacology and toxicology↗

The CEPR2-mediated phosphorylation of NRT1.2 mainly regulates ABA import in Arabidopsis

Abscisic acid (ABA) transport plays important role in systematic plant responses to environmental factors. Here, we showed that C-terminally encoded peptide receptor 2 (CEPR2) directly interacted with the ABA transporter NRT1.2. Using transgenic seedlings, we demonstrated that NRT1.2 positively regulated the ABA response, and that CEPR2 acted on NRT1.2 epistatically and negatively. Under normal conditions, CEPR2 phosphorylated NRT1.2 at least at serine 292 to promote the degradation of NRT1.2. However, ABA and serine 292 nonphospharylation strongly inhibited the degradation of NRT1.2, indicating that ABA-inhibited the phosphorylation of NRT1.2. Transport assays in yeast and Xenopus oocytes showed that nonphosphorylated NRT1.2 had high levels of ABA-import activity, but phosphorylated NRT1.2 did not import ABA. Analyses of complement nrt1.2 mutants by mimicking nonphospharylated and phospharylated NRT1.2 confirmed that nonphospharylated NRT1.2S292A had high stability and ABA import activity in planta. Further experiments indicated that NRT1.2 was degraded via the 26S proteasome and vacuolar degradation pathways. UBC32, UBC33, and UBC34 interacted with, and mediated the ubiquitination of NRT1.2. UBC32, UBC33, and UBC34 acted on NRT1.2 epistatically and negatively in planta. Thus, our results suggested the existence of novel plant mechanisms regulating NRT1.2 stability and ABA import activity in response to environmental conditions.

molecular biology↗

The inner scaffold protects from centriole fracture

Centrioles are characterized by a nine-fold arrangement of long-lived microtubule triplets that are held together by an inner protein scaffold. These structurally robust organelles experience strenuous cellular processes such as cell division or ciliary beating while performing their function. However, the molecular mechanisms underlying the stability of microtubule triplets, as well as centriole architectural integrity remain poorly understood. Here, using ultrastructure expansion microscopy (U-ExM) for nanoscale protein mapping, we reveal that POC16 and its human homolog WDR90 are components of the centriolar microtubule wall along the central core region of the centriole. We further found that WDR90 is an evolutionary microtubule associated protein with a predicted structurally homology with the ciliary inner junction protein FAP20. Finally, we demonstrate that WDR90 depletion impairs the localization of inner scaffold components, leading to centriole structural abnormalities in both human and Chlamydomonas cells. Altogether, this work highlights that POC16/WDR90 is a crucial evolutionary conserved molecular player participating in centriole architecture integrity.

cell biology↗

F-box protein MEC-15 promotes microtubule stability and neurite growth by antagonizing the HSP90 chaperone network in Caenorhabditis elegans

Molecular chaperones often work collaboratively with the ubiquitination-proteasome system (UPS) to facilitate the degradation of misfolded proteins, which typically safeguards cellular differentiation and protects cells from stress. In this study, however, we report that the Hsp70/Hsp90 chaperone machinery and an F-box protein, MEC-15, have opposing effects on neuronal differentiation and that the chaperones negatively regulate neuronal morphogenesis and functions. Using the touch receptor neurons (TRNs) of Caenorhabditis elegans, we find that mec-15(-) mutants display defects in microtubule formation, neurite growth, synaptic development, and neuronal functions, and these defects can be rescued by the loss of Hsp70/Hsp90 chaperones and cochaperones. MEC-15 likely functions in a SCF complex to degrade DLK-1, which is an Hsp90 client protein stabilized by the chaperones. The abundance of DLK-1, and likely other Hsp90 substrates, is fine-tuned by the antagonism between MEC-15 and chaperones; this antagonism regulates TRN development as well as synaptic functions of GABAergic motor neurons. Therefore, a balance between UPS and chaperones tightly controls neuronal differentiation. Summary statementMolecular chaperones are known to protect cells from stress. However, in this study the authors showed that the Hsp90 chaperone negatively regulates neuronal differentiation when the ubiquitination-proteasome system is compromised.

developmental biology↗

High contiguity long read assembly of Brassica nigra allows localization of active centromeres and provides insights into the ancestral Brassica genome.

High-quality nanopore genome assemblies were generated for two Brassica nigra genotypes (Ni100 and CN115125); a member of the agronomically important Brassica species. The N50 contig length for the two assemblies were 17.1 Mb (58 contigs) and 0.29 Mb (963 contigs), respectively, reflecting recent improvements in the technology. Comparison with a de novo short read assembly for Ni100 corroborated genome integrity and quantified sequence related error rates (0.002%). The contiguity and coverage allowed unprecedented access to low complexity regions of the genome. Pericentromeric regions and coincidence of hypo-methylation enabled localization of active centromeres and identified a novel centromere-associated ALE class I element which appears to have proliferated through relatively recent nested transposition events (<1 million years ago). Computational abstraction was used to define a post-triplication Brassica specific ancestral genome and to calculate the extensive rearrangements that define the genomic distance separating B. nigra from its diploid relatives.

genomics↗

A perinuclear microtubule-organizing center controls nuclear positioning and basement membrane secretion

Non-centrosomal microtubule-organizing centers (ncMTOCs) have a variety of roles presumed to serve the diverse functions of the range of cell types in which they are found. ncMTOCs are diverse in their composition, subcellular localization, and function. Here we report a novel perinuclear MTOC in Drosophila fat body cells that is anchored by Msp300/Nesprin at the cytoplasmic surface of the nucleus. Msp300 recruits the MT minus-end protein Patronin/CAMSAP, which functions redundantly with Ninein to further recruit the MT polymerase Msps/XMAP215 to assemble non-centrosomal MTs and does so independently of the widespread MT nucleation factor{gamma} -tubulin. Functionally, the fat body ncMTOC and the radial MT arrays it organizes is essential for nuclear positioning and for secretion of basement membrane components via retrograde dynein-dependent endosomal trafficking that restricts plasma membrane growth. Together, this study identifies a perinuclear ncMTOC with unique architecture and MT regulation properties that serves vital functions. HighlightsO_LIA novel perinuclear MTOC in differentiated fat body cells C_LIO_LIThe predominant nucleator,{gamma} -tubulin, is not required at the fat body ncMTOC C_LIO_LIMsp300/Nesprin organizes the ncMTOC at the nuclear surface by recruiting Patronin/CAMSAP and the spectraplakin Shot C_LIO_LIPatronin cooperates with Ninein to control MT assembly at the fat body ncMTOC by recruiting Msps C_LIO_LIMsps, a MT polymerase, is essential for radial MT elongation from the fat body ncMTOC C_LIO_LIPatronin and Msps associate C_LIO_LIThe ncMTOC and radial MTs, but not actin, control nuclear positioning in the fat body C_LIO_LIThe fat body MTOC controls retrograde endocytic trafficking to regulate plasma membrane growth and secretion of basement membrane proteins C_LI O_FIG O_LINKSMALLFIG WIDTH=175 HEIGHT=200 SRC="FIGDIR/small/888065v1_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@19822feorg.highwire.dtl.DTLVardef@1216914org.highwire.dtl.DTLVardef@79d0d7org.highwire.dtl.DTLVardef@17dd8a0_HPS_FORMAT_FIGEXP M_FIG C_FIG

cell biology↗

The virus integrations in gut microbes associated with dysbiosis of microbial community in tumorigenesis of colorectal carcinoma

Patients with colorectal cancer (CRC) have a different gut microbial and viral communities from healthy individuals. But little is known about the ways and functions of interaction of virus-bacteria, let alone its correlation with the aetiology of CRC. In this study we aimed to identify the association between the genetic integration of virusbacteria and the expansion of some microbial population during tumorigenesis of human colorectum. Using a gut metagenomics sequencing data of healthy controls, advanced adenoma and carcinoma patients, to our knowledge, we demonstrate for the first time that the viral genetic integrations in gut microbes tend to occur in CRC patients and are potentially associated with the carcinogenesis. We found that almost all of the genetic integrations were happened between bacteriophages and bacteria, which could be influenced by the abundance of the phage communities. Importantly, the integrations of phage-carried positive effective genes offered selective advantages to the commensal and potential pathogenic bacteria, as a result, potentially led to a microbial dysbiosis along with the increasing bacterial diversity in carcinoma patients. Consequently, our work opens a new way to understand the carcinogenicity in complex intestinal ecosystems.

microbiology↗