Biology subjects

Zhu, P.

Publications and source records attributed to Zhu, P..

61 records · Page 4Linked to original sources

bioRxiv2020

Structural Basis for Ca2+-Dependent Activation of a Plant Metacaspase

Plants metacaspases mediate programmed cell death in development 1,2, biotic and abiotic stresses 3, damage-induced immune response 4, and resistance to pathogen attack 5. Most metacaspases require Ca2+ for their activation and substrate processing 6-8. However, the Ca2+-dependent activation mechanism remains elusive 9-11. Here we report the crystal structure of Metacaspase 4 from Arabidopsis thaliana (AtMC4) that modulates Ca2+-dependent, damage-induced plant immune defense. The AtMC4 structure exhibits an inhibitory conformation in which a large linker domain blocks activation and substrate access. In addition, the side chain of Lys225 in the linker domain blocks the active site by sitting directly between two catalytic residues. We show that the activation of AtMC4 and cleavage of its physiological substrate involve multiple cleavages in the linker domain upon activation by Ca2+. Our analysis provides insight into the Ca2+-dependent activation of AtMC4 and lays the basis for tuning its activity in response to stresses that may help engineer more sustainable crops for production of food and biofuel.

biochemistry↗

bioRxiv2020

Alignment of single-cell RNA-seq samples without over-correction using kernel density matching

Single-cell RNA sequencing (scRNA-seq) technology is poised to replace bulk cell RNA sequencing for most biological and medical applications as it allows users to measure gene expression levels in a cell-type-specific manner. However, data produced by scRNA-seq often exhibit batch effects that can be specific to a cell-type, to a sample, or to an experiment, which prevent integration or comparisons across multiple experiments. Here, we present Dmatch, a method that leverages an external expression atlas of human primary cells and kernel density matching to align multiple scRNA-seq experiments for downstream biological analysis. Dmatch facilitates alignment of scRNA-seq datasets with cell-types that may overlap only partially, and thus allows integration of multiple distinct scRNA-seq experiments to extract biological insights. In simulation, Dmatch compares favorably to other alignment methods, both in terms of reducing sample-specific clustering, and in terms of avoiding over-correction. When applied to scRNA-seq data collected from clinical samples in a healthy individual and five autoimmune disease patients, Dmatch enabled cell-type-specific differential gene expression comparisons across biopsy sites and disease conditions, and uncovered a shared population of pro-inflammatory monocytes across biopsy sites in RA patients. We further show that Dmatch increases the number of eQTLs mapped from population scRNA-seq data. Dmatch is fast, scalable, and improves the utility of scRNA-seq for several important applications. Dmatch is freely available online (https://qzhan321.github.io/dmatch/).

bioinformatics↗

bioRxiv2019

mtor Haploinsufficiency Ameliorates Renal Cyst Formation in Adult Zebrafish tmem67 Mutants

Although zebrafish embryos have been utilized to study ciliogenesis and to model polycystic kidney disease (PKD), adult zebrafish remain unexplored. Here, we report the generation and characterization of a zebrafish mutant of tmem67, a homologue of the mammalian causative gene for Meckel syndrome type 3 (MKS3). Although a small population of homozygous embryos exhibited pronephric cysts, all mutants were able to survive to adulthood and developed progressive mesonephric cysts with full penetrance. The cysts in the adult zebrafish kidneys manifested features of mammalian PKD, including switching of cyst origin from the proximal tubules to the collecting ducts, increased proliferation of cyst-lining epithelial cells, and hyperactive mTOR signaling. Consistent ciliary abnormalities were observed in both the embryonic and adult zebrafish mutants compared with the wild-type fish, including shorter and fewer single cilia in the distal pronephros and all segments of the mesonephros and greater numbers of multiciliated cells (MCCs). Lack of single cilium preceded cystogenesis, suggestive of a primary defect. Expansion of MCCs occurred after pronephric cyst formation and was inversely correlated with the severity of cystogenesis in young adult zebrafish, suggesting an adaptive action. Interestingly, mTOR inhibition ameliorated renal cysts in both the embryonic and adult zebrafish models; however, it only rescued ciliary abnormalities in the adult mutants. In summary, we have established a tmem67 mutant as the first adult zebrafish PKD model, revealed a novel aspect of cilium regulation, and identified sustained mTOR inhibition as a candidate therapeutic strategy for tmem67-based PKD. Significance StatementWhile zebrafish embryos are well recognized for their value in studying ciliogenesis and polycystic kidney disease (PKD), adult zebrafish have not commonly been used. Here, we report the establishment of the first adult zebrafish model for PKD, which exhibits characteristics of mammalian PKD and shows kidney ciliary abnormalities consistent with those observed in an embryonic model. We also provide evidence for mTOR inhibition as a therapeutic strategy for this particular type of cystogenesis. Compared to the embryonic model, the adult fish model exhibits a spectrum of progressive pathogeneses and enables ciliary abnormalities to be discerned as either primary or secondary to cystogenesis. We believe that this novel adult fish model will facilitate mechanistic studies and therapeutic development for PKD.

genetics↗

bioRxiv2019

Dysregulated Alternative Splicing Landscape Identifies Intron Retention as a Hallmark and Spliceosome as a Therapeutic Vulnerability in Aggressive Prostate Cancer

Dysregulation of mRNA alternative splicing (AS) has been implicated in development and progression of hematological malignancies. Here we describe the first comprehensive AS landscape in the spectrum of human prostate cancer (PCa) development, progression and therapy resistance. We find that the severity of splicing dysregulation correlates with disease progression and establish intron retention (IR) as a hallmark of PCa stemness and aggressiveness. Systematic interrogation of 274 splicing-regulatory genes (SRGs) uncovers prevalent SRG mutations associated with, mainly, copy number variations leading to mis-expression of ~68% of SRGs during PCa evolution. Consequently, we identify many SRGs as prognostic markers associated with splicing disruption and patient outcome. Interestingly, androgen receptor (AR) controls a splicing program distinct from its transcriptional regulation. The spliceosome modulator, E7107, reverses cancer aggressiveness and abolishes the growth of castration-resistant PCa (CRPC) models. Altogether, we establish aberrant AS landscape caused by dysregulated SRGs as a novel therapeutic vulnerability for CRPC.\n\nStatement of significanceWe present the first comprehensive AS landscape during PCa evolution and link genomic and transcriptional alterations in SRGs to global splicing dysregulation. AR regulates splicing in pri-PCa and CRPC distinct from its transcriptional regulation. Intron retention is a hallmark for and spliceosome represents a therapeutic vulnerability in aggressive PCa.

cancer biology↗

bioRxiv2019

Coupling multiplex pre-amplification and droplet digital PCR for longitudinal monitoring of ESR1 and PIK3CA mutations from plasma cell-free DNA

Here we report on the development of a sensitive and cost-effective method to longitudinally track ESR1 and PIK3CA mutations from cfDNA in patients with metastatic breast cancer (MBC) using a streamlined and de-centralized workflow. Hotspot mutations in ESR1 have been shown to cause resistance to aromatase inhibitor-based and anti-estrogenic therapies, while PIK3CA mutations have high prevalence in MBC. As a result, their utility as circulating biomarkers to predict or monitor response in the clinical development of investigational compounds has been the focus of many studies. Six regions in ESR1 and PIK3CA genes containing 20 hotspot mutations were pre-amplified, followed by optimized singleplex ddPCR assays to detect allele frequencies of individual mutations. Without pre-amplification, the limit of detection (LOD) and limit of linearity (LOL) of individual ddPCR assays were at 0.05-0.1% and 0.25% level, respectively. With pre-amplification, the LOD and LOL were slightly elevated at 0.1-0.25% and 0.25-0.5% levels, respectively. High concordance was achieved to the BEAMing assay (Sysmex Inostics) for mutation positive assays (r=0.98, P<0.0001). In conclusion, coupling pre-amplification and ddPCR assays allowed us for the detection of up to 20 hot spot mutations in ESR1 and PIK3CA with high sensitivity and reproducibility.

genetics↗

bioRxiv2018

Genetic Architecture of Collective Behaviors in Zebrafish

Collective behaviors of groups of animals, such as schooling and shoaling of fish, are central to species survival, but genes that regulate these activities are not known. Here we parsed collective behavior of groups of adult zebrafish using computer vision and unsupervised machine learning into a set of highly reproducible, unitary, several hundred millisecond states and transitions, which together can account for the entirety of relative positions and postures of groups of fish. Using CRISPR-Cas9 we then targeted for knockout 35 genes associated with autism and schizophrenia. We found mutations in three genes had distinctive effects on the amount of time spent in the specific states or transitions between states. Mutation in immp2l (inner mitochondrial membrane peptidase 2-like gene) enhances states of cohesion, so increases shoaling; mutation in in the Nav1.1 sodium channel, scn1lab+/- causes the fish to remain scattered without evident social interaction; and mutation in the adrenergic receptor, adra1aa-/-, keeps fish close together and retards transitions between states, leaving fish motionless for long periods. Motor and visual functions seemed relatively well-preserved. This work shows that the behaviors of fish engaged in collective activities are built from a set of stereotypical states. Single gene mutations can alter propensities to collective actions by changing the proportion of time spent in these states or the tendency to transition between states. This provides an approach to begin dissection of the molecular pathways used to generate and guide collective actions of groups of animals.

animal behavior and cognition↗

bioRxiv2018

Impact of exogenous nitrogen on cyanobacterial abundance and community in oil-contaminated sediment mesocosms

High concentrations of crude oil are toxic to cyanobacteria but can facilitate the emergence of cyanobacterial aggregation at an appropriate concentration range; however, the exact inducing factor has never been clearly elucidated. We hypothesized that increasing exposure to elevated concentrations of nitrogen would inhibit the accumulation of cyanobacteria in oil-contaminated sediments. To test this hypothesis, we simulated an oil spill in estuarine sediment microcosms with and without the removal of nitrogen limitation by supplementation of exogenous nitrogen. An integrated MiSeq sequencing of 16S rRNA gene analysis along with metatranscriptome sequence was performed to achieve a comprehensive study of cyanobacterial blooms. The number of cyanobacterial sequences increased over time in both oil-contaminated and non-oil-contaminated sediments at different time points after 42 days of incubation. And, supplementation with a nitrogen resource could accelerate cyanobacterial blooms under uncontaminated microcosms but delay the bloom phenomenon and reduce the cyanobacterial abundance to a great degree when exposed to oil. Our results clearly illustrated that nitrogen limitation was a vital driver of the increased abundance of cyanobacteria in oil-contaminated mesocosms. In addition, the abundance and compositions of blooming cyanobacteria varied significantly among the different treatment groups, and Oscillatoria may play a potential and non-negligible role in oil-contaminated mesocosms.

microbiology↗