Biology subjects

Lu, J.

Publications and source records attributed to Lu, J..

At least 343 records · Page 19Linked to original sources

bioRxiv2020

A new tool for 3D segmentation of computed tomography data: Drishti Paint and its applications

Computational tomography is more and more widely used in many fields for its non-destructive and high-resolution in detecting internal structures of the samples. 3D segmentation of computed tomography data, which sheds light into internal features of target objects, is increasingly gaining in importance. However, how to efficiently and precisely reconstruct computed tomography data and better represent the data remains a hassle. Here, using a set of scan data of a fossil fish as a case study, we present a new release of open-source volume exploration, rendering, and 3D segmentation software, Drishti v2.6.6, and its protocol for performing 3D segmentation and other advanced applications. We provide new toolsets and workflow to segment computed tomography data thus benefit the scientific community with more accurate and precise digital reconstruction, 3D modelling and 3D printing results. Our procedure is widely applicable not only in palaeontology, but also in biological, medical, and industrial researches, and can be used as a framework to segment computed tomography and other forms of volumetric data from any research field.

evolutionary biology↗

bioRxiv2020

Identification of a common deletion in the spike protein of SARS-CoV-2

Two notable features have been identified in the SARS-CoV-2 genome: (1) the receptor binding domain of SARS-CoV-2; (2) a unique insertion of twelve nucleotide or four amino acids (PRRA) at the S1 and S2 boundary. For the first feature, the similar RBD identified in SARs-like virus from pangolin suggests the RBD in SARS-CoV-2 may already exist in animal host(s) before it transmitted into human. The left puzzle is the history and function of the insertion at S1/S2 boundary, which is uniquely identified in SARS-CoV-2. In this study, we identified two variants from the first Guangdong SARS-CoV-2 cell strain, with deletion mutations on polybasic cleavage site (PRRAR) and its flank sites. More extensive screening indicates the deletion at the flank sites of PRRAR could be detected in 3 of 68 clinical samples and half of 22 in vitro isolated viral strains. These data indicate (1) the deletion of QTQTN, at the flank of polybasic cleavage site, is likely benefit the SARS-CoV-2 replication or infection in vitro but under strong purification selection in vivo since it is rarely identified in clinical samples; (2) there could be a very efficient mechanism for deleting this region from viral genome as the variants losing 23585-23599 is commonly detected after two rounds of cell passage. The mechanistic explanation for this in vitro adaptation and in vivo purification processes (or reverse) that led to such genomic changes in SARS-CoV-2 requires further work. Nonetheless, this study has provided valuable clues to aid further investigation of spike protein function and virus evolution. The deletion mutation identified in vitro isolation should be also noted for current vaccine development.

genetics↗

bioRxiv2020

Inhibition of the av integrin-TGF-b axis improves natural killer cell function against glioblastoma stem cells

Glioblastoma, the most aggressive brain cancer, often recurs because glioblastoma stem cells (GSCs) are resistant to all standard therapies. Here, we show that patient-derived GSCs, but not normal astrocytes, are highly sensitive to lysis by healthy allogeneic natural killer (NK) cells in vitro. In contrast, single cell analysis of autologous, tissue infiltrating NK cells isolated from surgical samples of high-grade glioblastoma patient tumors using mass cytometry and single cell RNA sequencing revealed an abnormal phenotype associated with impaired lytic function compared with peripheral blood NK cells from GBM patients or healthy donors. This immunosuppression was attributed to an integrin-TGF-{beta} mechanism, activated by direct cell-cell contact between GSCs and NK cells. Treatment of GSC-engrafted mice with allogeneic NK cells in combination with inhibitors of integrin or TGF-{beta} signaling, or with TGF-{beta} receptor 2 gene-edited NK cells prevented GSC-induced NK cell dysfunction and tumor growth. Collectively, our findings reveal a novel mechanism of NK cell immune evasion by GSCs and implicate the integrin-TGF-{beta} axis as a useful therapeutic target to eliminate GSCs in this devastating tumor.

immunology↗

bioRxiv2020

CIS checkpoint deletion enhances the fitness of cord blood derived natural killer cells transduced with a chimeric antigen receptor

Immune checkpoint therapy has produced remarkable improvements in the outcome for certain cancers. To broaden the clinical impact of checkpoint targeting, we devised a strategy that couples targeting of the cytokine-inducible SH2-containing (CIS) protein, a key negative regulator of interleukin (IL)-15 signaling, with chimeric antigen receptor (CAR) engineering of natural killer (NK) cells. This combined strategy boosted NK cell effector function through enhancing the Akt/mTORC1 axis and c-MYC signaling, resulting in increased aerobic glycolysis. When tested in a lymphoma mouse model, this combined approach improved NK cell anti-tumor activity more than either alteration alone, eradicating lymphoma xenografts without signs of any measurable toxicity. We conclude that combining CIS checkpoint deletion with CAR engineering promotes the metabolic fitness of NK cells in an otherwise suppressive tumor microenvironment. This approach, together with the prolonged survival afforded by CAR modification, represents a promising milestone in the development of the next generation of NK cells for cancer immunotherapy.

immunology↗

bioRxiv2020

Ultrafast and accurate 16S microbial community analysis using Kraken 2

For decades, 16S ribosomal RNA sequencing has been the primary means for identifying the bacterial species present in a sample with unknown composition. One of the most widely-used tools for this purpose today is the QIIME (Quantitative Insights Into Microbial Ecology) package. Recent results have shown that the newest release, QIIME 2, has higher accuracy than QIIME, MAPseq, and mothur when classifying bacterial genera from simulated human gut, ocean, and soil metagenomes, although QIIME 2 also proved to be the most computationally expensive method. Kraken, first released in 2014, has been shown to provide exceptionally fast and accurate classification for shotgun metagenomics sequencing projects. Bracken, released in 2016, then provided users with the ability to accurately estimate species or genus abundances using Kraken classification results. Kraken 2, which matches the accuracy and speed of Kraken 1, now supports 16S rRNA databases, allowing for direct comparisons to QIIME and similar systems. Here we show that, using the same simulated 16S rRNA metagenomic data as previous studies, Kraken 2 and Bracken are up to 300 times faster and also more accurate at 16S profiling than QIIME 2.

genomics↗

bioRxiv2020

Is Oculudentavis a bird or even archosaur?

Recent finding of a fossil - Oculudentavis khaungraae Xing et al. 2020, entombed in a Late Cretaceous amber - was claimed to represent a humming bird-sized dinosaur1. Regardless of the intriguing evolutionary hypotheses about the bauplan of Mesozoic dinosaurs (including birds) posited therein, this enigmatic animal demonstrates various morphologies resembling lizards. If Oculudentavis was a bird, it challenges several fundamental morphological differences between Lepidosauria and Archosauria. Here we reanalyze the original computed tomography scan data of Oculudentavis. Morphological evidences demonstrated here highly contradict the avian or even archosaurian phylogenetic placement of Oculudentavis. In contrast, our analysis revealed multiple synapomorphies of the Squamata in this taxon, including pleurodont marginal teeth and an open infratemporal fenestra, which suggests a squamate rather than avian or dinosaurian affinity of Oculudentavis.

evolutionary biology↗

bioRxiv2020

Substrate deformation regulates DRM2-mediated DNA methylation in plants

DNA methylation is an important epigenetic mechanism that critically regulates gene expression and genomic stability. In plants, Domains Rearranged Methyltransferase 2 (DRM2) preferentially mediates CHH methylation (H=C, T, A), a substrate specificity distinct from that of mammalian DNA methyltransferases. However, the underlying mechanism is unknown. Here, we report structure-function characterizations of DRM2-mediated methylation. An arginine finger from the catalytic loop intercalates into DNA minor groove, inducing large DNA deformation that impacts the substrate specificity of DRM2. To accommodate the substrate deformation, the target recognition domain of DRM2 embraces the enlarged DNA major groove via shape complementarity, disruption of which via C397R mutation shifts the substrate specificity of DRM2 toward CHG DNA. This study uncovers DNA deformation as a mechanism in regulating the substrate specificity of DRM2, implicative of transposon-specific repression in plants.

biochemistry↗

bioRxiv2020

Two antagonistic effect genes mediate separation of sexes in a fully dioecious plant

Plant sex determining systems and sex chromosomes are often evolutionarily young. Here, we present the early stage of sex chromosome in a fully dioecious plant, P. deltoides, by determining separate sequences of the physically small X- and Y-linked regions. Intriguingly, two Y genes are absent from the X counterpart. One gene represses female structures by producing siRNAs that block expression of a gene necessary for development of female structures, via RNA-directed DNA methylation and siRNA-guided mRNA cleavage. The other gene generates long non-coding RNA transcripts that, in males, soak up miRNAs that specifically inhibit androecium development. Transformation experiments in Arabidopsis thaliana show that the two genes affect gynoecium and androecium development independently and antagonistically. Sex determination in the poplar therefore has the properties proposed for the first steps in the evolution of dioecy in flowering plants, with two genes whose joint effects favor close linkage, as is observed in poplar.

plant biology↗

bioRxiv2020

SkewIT: Skew Index Test for detecting mis-assembled bacterial genomes

GC skew is a phenomenon observed in many bacterial genomes, wherein the two replication strands of the same chromosome contain different proportions of guanine and cytosine nucleotides. Here we demonstrate that this phenomenon, which was first discovered in the mid-1990s, can be used today as an analysis tool for the 15,000+ complete bacterial genomes in NCBIs Refseq library. In order to analyze all 15,000+ genomes, we introduce a new method, SkewIT (Skew Index Test), which calculates a single metric representing the degree of GC skew for a genome. Using this metric, we demonstrate how GC skew patterns are conserved within certain bacterial phyla, e.g. Firmicutes, but show different patterns in other phylogenetic groups such as Actinobacteria. We also discovered that outlier values of SkewIT highlight potential bacterial mis-assemblies. Using our newly defined metric, we identify multiple mis-assembled chromosomal sequences in NCBIs Refseq library of complete bacterial genomes. Software AvailabilitySkewIT scripts for analysis of bacterial genomes are provided in the following repository: https://github.com/jenniferlu717/SkewIT.

genomics↗

bioRxiv2020

A Generalized Discrete Dynamic Model for Human Epidemics

A discrete dynamic model for human epidemics was developed in present study. The model included major parameters as transmission strength and its decline parameters, mean incubation period, hospitalization time, non-hospitalization daily mortality, non-hospitalization daily recovery rate, and hospitalization proportion, etc. Sensitivity analysis of the model indicated the total cumulative cases significantly increased with initial transmission strength, hospitalization time. The total cumulative cases significantly decreased with transmission strengths decline and hospitalization proportion, and linearly decreased with non-hospitalization daily mortality and non-hospitalization daily recovery rate. In a certain range, the total cumulative cases significantly increased with mean incubation period. Sensitivity analysis demonstrated that dynamic change of transmission strength is one of the most important and controllable factors. In addition, reducing the delay for hospitalization is much effective in weakening disease epidemic. Non-hospitalization recovery rate is of importance for enhancing immunity to recover from the disease.

microbiology↗

bioRxiv2020

Transmission dynamics of 2019 novel coronavirus (2019-nCoV)

RationaleSeveral studies have estimated basic production number of novel coronavirus pneumonia (NCP). However, the time-varying transmission dynamics of NCP during the outbreak remain unclear. ObjectivesWe aimed to estimate the basic and time-varying transmission dynamics of NCP across China, and compared them with SARS. MethodsData on NCP cases by February 7, 2020 were collected from epidemiological investigations or official websites. Data on severe acute respiratory syndrome (SARS) cases in Guangdong Province, Beijing and Hong Kong during 2002-2003 were also obtained. We estimated the doubling time, basic reproduction number (R0) and time-varying reproduction number (Rt) of NCP and SARS. Measurements and main resultsAs of February 7, 2020, 34,598 NCP cases were identified in China, and daily confirmed cases decreased after February 4. The doubling time of NCP nationwide was 2.4 days which was shorter than that of SARS in Guangdong (14.3 days), Hong Kong (5.7 days) and Beijing (12.4 days). The R0 of NCP cases nationwide and in Wuhan were 4.5 and 4.4 respectively, which were higher than R0 of SARS in Guangdong (R0=2.3), Hongkong (R0=2.3), and Beijing (R0=2.6). The Rt for NCP continuously decreased especially after January 16 nationwide and in Wuhan. The R0 for secondary NCP cases in Guangdong was 0.6, and the Rt values were less than 1 during the epidemic. ConclusionsNCP may have a higher transmissibility than SARS, and the efforts of containing the outbreak are effective. However, the efforts are needed to persist in for reducing time-varying reproduction number below one. At a Glance CommentaryO_ST_ABSScientific Knowledge on the SubjectC_ST_ABSSince December 29, 2019, pneumonia infection with 2019-nCoV, now named as Novel Coronavirus Pneumonia (NCP), occurred in Wuhan, Hubei Province, China. The disease has rapidly spread from Wuhan to other areas. As a novel virus, the time-varying transmission dynamics of NCP remain unclear, and it is also important to compare it with SARS. What This Study Adds to the FieldWe compared the transmission dynamics of NCP with SARS, and found that NCP has a higher transmissibility than SARS. Time-varying production number indicates that rigorous control measures taken by governments are effective across China, and persistent efforts are needed to be taken for reducing instantaneous reproduction number below one.

systems biology↗

bioRxiv2020

From SARS-CoV to Wuhan 2019-nCoV: Will History Repeat Itself?

This manuscript has been withdrawn as it was submitted without the full consent of all the authors. Therefore, the authors do not wish this work to be cited as reference for the project. If you have any questions, please contact the corresponding author.

microbiology↗

bioRxiv2020

Evolutionary forces on A-to-I RNA editing revealed by sequencing individual honeybee drones

Social insects exhibit extensive phenotypic diversities among the genetically similar individuals, suggesting a role for the epigenetic regulations beyond the genome level. The ADAR-mediated adenosine-to-inosine (A-to-I) RNA editing, an evolutionarily conserved mechanism, facilitates adaptive evolution by expanding proteomic diversities. Here, we characterize the A-to-I RNA editome of honeybees (Apis mellifera), identifying 407 high-confidence A-to-I editing sites. Editing is most abundant in the heads, and shows signatures for positive selection. Editing behavior differs between foragers and nurses, suggesting a role for editing in caste differentiation. Although only five sites are conserved between bees and flies, an unexpectedly large number of genes exhibit editing in both species, albeit at different locations, including the nonsynonymous auto-editing of Adar. This convergent evolution, where the same target genes independently acquire recoding events in distant diverged clades, together with the signals of adaptation observed in honeybees alone, further supports the notion of recoding being adaptive.

evolutionary biology↗

bioRxiv2020

sgRNA level determines CRISPRi knockdown efficiency in K562 cells

To determine how nuclease deactivated Cas9 (dCas9) or sgRNA expression level affects the knockdown efficiency of CRISPRi, K562 cell clones expressing KRAB-dCas9 protein either with the inducible Tet-on system or with the constitutive SFFV promotor were created by lentiviral transduction, and single clones were selected by fluorescence-activated cell sorting (FACS) for further study. Six genes with various expression levels were targeted using lentiviral sgRNA from two libraries in four cell clones with various KRAB-dCas9 expression levels. We determined the knockdown efficiency and the expression level of the dCas9 protein /sgRNA level by flow cytometry. The cell clone with the highest KRAB-dCas9 expression level achieved effective CRISPRi knockdown, and is statistically different from other clones, indicating enough KRAB-dCas9 expression might be a prerequisite for CRISPRi. Utilizing this clone, we modified the expression level of sgRNA by adopting different multiplicity of infection (MOI)in lentiviral transduction and found that the knockdown efficiency was neither affected by the target gene expression level nor does it correlate with KRAB-dCas9 level, which remained relatively constant (CV=2.2%) across knockdown experiments. 74.72%, 72.28%, 39.08% knockdown of mmadhc, rpia, znf148 genes were achieved, and the knockdown efficiency correlated well with the sgRNA expression level. Linear regression modeling of the data revealed that the knockdown efficiency is significantly affected by both KRAB-dCas9 and sgRNA level, and the sgRNA level has a greater impact, based on the standardized coefficient (0.525 for KRAB-dCas9, 0.981 for sgRNA), indicating that sgRNA level is a major factor affecting CRISPRi efficiency.

cancer biology↗

bioRxiv2020

Targeting Aryl Hydrocarbon Receptor with small molecule, 1'H-indole-3'-carbonyl -thiazole-4-carboxylic acid methyl ester blocked human glioma cell invasion via MYH9

Aryl hydrocarbon receptor (AHR) was a master regulator of anti-tumor cell migration in various cell types. Whether and how AHR regulates glioma cell migration is largely unknown. We found that small molecule 2-(1'H-indole-3'-carbonyl)-thiazole-4-carboxylic acid methyl ester (ITE), an endogenous AHR ligand, can significantly block glioma cell migration and invasion in vitro, ex vivo and in vivo. Knocking down AHR by siRNA abolished ITEs migration-inhibiting effects. ITE increased the number of filopodia-like protrusion formation, but reduced protrusion attachment to the extracellular matrix, and inhibited the rear retraction of migrating glioma cells. Moreover, both mesenchymal and amoeboid migrating cells were observed in the DMSO control group while none of the cells display amoeboid migration in the ITE treated group. MYH9 was significantly reduced by ITE treatment in human glioma cells. Over-expression of MYH9 abrogated ITEs migration-inhibiting effects, with the expression level of MYH9 correlated with cell migration ability. Since MYH9 is a component of non-muscle myosin IIA (NMIIA), which is essential for cell migration in 3D confined space, and not a discovered target of AHR, the fact that ITE affects MYH9 via AHR opens a new research and development avenue.

cell biology↗

bioRxiv2020

Post-transcriptional Regulation is the Major Driver of microRNA Expression Variation

MicroRNA (miRNA) expression patterns are highly variable across human tissues and across cancer specimens. The intuitive assumption is that transcription is the main contributor to mature miRNA expression patterns, with post-transcriptional processes further modifying miRNA expression levels. Here we report the surprising model that, on the global level, post-transcriptional regulation dominates over transcriptional regulation in determining mature miRNA expression patterns in both normal tissues and cancer. Taking advantage of large genomic datasets in which the expression of both mature miRNAs and their host genes have been quantified, we establish and validate transcriptional and post-transcriptional metrics, with miRNA host gene expression estimating transcriptional regulation and mature miRNA to host gene ratio estimating post-transcriptional regulation. On average, the post-transcriptional metric contributes 2.8-fold more than the transcriptional metric to the variance of mature miRNA expression. The variation of the balance between the two mature miRNAs (5p and 3p miRNAs) produced from the same precursor hairpin is a non-negligible contributor to miRNA expression, explaining [~]27% of the variance of miRNAs post-transcriptional metric. Data of normal tissues yield similar results as cancer specimens. Additionally, the post-transcriptional metric is superior to the transcriptional metric in classifying cancer types. We further demonstrate that the post-transcriptional metric separates miRNAs into distinct groups, suggesting that there are groups of miRNAs that are co-regulated on the post-transcriptional level. Our data support a model in which the post-transcriptional regulation is the major driver of miRNA expression variation, and paves a way toward better mechanistic understanding of post-transcriptional regulation of mature miRNA expression.

bioinformatics↗

bioRxiv2020

Individual variability in functional organization of the human and monkey auditory cortex

Accumulating evidence shows that auditory cortex (AC) of humans, and other primates, is involved in more complex cognitive processes than feature segregation only, which are shaped by experience-dependent plasticity and thus likely show substantial individual variability. However, thus far, individual variability of ACs has been considered a methodological impediment rather than a phenomenon of theoretical importance. Here, we examined the variability of ACs using intrinsic functional connectivity patterns in humans and macaques. Our results demonstrate that in humans, functional variability is 1) greater near the non-primary than primary ACs, 2) greater in ACs than comparable visual areas, and 3) greater in the left than right ACs. Remarkably similar modality differences and lateralization of variability were observed in macaques. These connectivity-based findings are consistent with a confirmatory task-based fMRI analysis. The quantitative proof of the exceptional variability of ACs has implications for understanding the evolution of advanced auditory functions in humans.

neuroscience↗

bioRxiv2019

An in vitro quantitative systems pharmacology approach for deconvolving mechanisms of drug-induced, multilineage cytopenias

Myelosuppression is one of the most common and severe adverse events associated with anti-cancer therapies and can be a source of drug attrition. Current mathematical modeling methods for assessing cytopenia risk rely on indirect measurements of drug effects and primarily focus on single lineage responses to drugs. However, anti-cancer therapies have diverse mechanisms with varying degrees of effect across hematopoietic lineages. To improve predictive understanding of drug-induced myelosuppression, we developed a quantitative systems pharmacology (QSP) model of hematopoiesis in vitro for quantifying the effects of anti-cancer agents on multiple hematopoietic cell lineages. We calibrated the system parameters of the model to cell kinetics data without treatment and then validated the model by showing that the inferred mechanisms of anti-proliferation and/or cell-killing are consistent with the published mechanisms for three classes of drugs with different mechanisms of action. Using a set of compounds as a sample set, we then analyzed novel compounds to predict their mechanisms and magnitude of myelosuppression. Further, these quantitative mechanisms are valuable for the development of translational in vivo models to predict clinical cytopenia effects. Author SummaryReduced bone marrow activity and levels of mature blood cells is an undesirable side effect of many anti-cancer therapies. Selecting promising lead compounds for further development requires understanding of potential myelosuppressive effects. However, existing preclinical experiments and modeling formulations fail to consider drug effects on multiple blood cell types or the mechanistic differences between how drugs induced myelosuppression. Here we developed a quantitative systems pharmacology (QSP) model that estimates a drug candidates effect on multiple precursor and mature blood cell lineages and further distinguishes how the drug affects these populations - through cell-killing or anti-proliferation mechanisms. This modeling formalism is valuable for vetting compounds for therapeutic development and for further translational modeling to anticipate the clinical effects of compounds.

pharmacology and toxicology↗