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Biology subjects

Zhu, S.

Publications and source records attributed to Zhu, S..

At least 127 records · Page 7Linked to original sources

Phen2Disease: A Phenotype-driven Semantic Similarity-based Integrated Model for Disease and Gene Prioritization

By utilizing the Human Phenotype Ontology (HPO), recent approaches to prioritizing disease-causing genes for patients become popular. However, these approaches do not comprehensively use information about phenotypes of diseases and patients. We present a new method called Phen2Disease that calculates similarity scores between two phenotype sets of patients and diseases by which to prioritize diseases and genes. Specifically, we calculate three scores of information content-based similarities using the phenotypes, and their combination as the respective benchmarks, and integrate them as a final score. Comprehensive experiments were conducted on six real data cohorts with 2051 cases and two simulated data cohorts with 1000 cases. Compared with the three state-of-the-art methods, if we only use phenotype information and HPO knowledge base, Phen2Disease outperformed all of them, particularly in cohorts with the less average numbers of HPO terms. We have found that patients with higher information content scores had more specific information so their predictions would be more accurate. In addition, Phen2Disease has high interpretability with ranked diseases and patient HPO terms provided.

genetics↗

Building Fluorescence Lifetime Maps Photon-by-photon by Leveraging Spatial Correlations

Fluorescence lifetime imaging microscopy (FLIM) has become a standard tool in the quantitative analysis of sub-cellular environments. However, quantitative FLIM analyses face several challenges. First, spatial correlations between pixels are often ignored as signal from individual pixels is analyzed independently thereby limiting spatial resolution. Second, existing methods deduce photon ratios instead of absolute lifetime maps. Next, the number of lifetime components contributing to the signal is unknown, while excited state lifetimes with <1 ns difference are difficult to discriminate. Finally, existing analyses require high photon budgets, and often cannot rigorously propagate experimental uncertainty into values over lifetime maps and number of components involved. To overcome all of these challenges simultaneously and self-consistently at once, we propose the first doubly nonparametric framework. That is, we learn the number of fluorescent species (through beta-Bernoulli process priors) and absolute lifetime maps of these species (through Gaussian process priors) by leveraging information from pulses not leading to observed photon. We benchmark our algorithm using a broad range of synthetic and experimental data and demonstrate its robustness across a number of scenarios including cases where we recover lifetime differences between components as small as 0.3 ns with merely 1000 photons.

biophysics↗

Innate immune response to SARS-1 CoV-2 infection contributes to neuronal damage in human iPSC-derived peripheral neurons

Severe acute respiratory coronavirus 2 (SARS-CoV-2) infection causes neurological disease in some patients suggesting that infection can affect both the peripheral and central nervous system (PNS and CNS, respectively). It is not clear whether the outcome of SARS-CoV-2 infection of PNS and CNS neurons is similar, and which are the key factors that cause neurological disease: SARS-CoV-2 infection or the subsequent immune response. Here, we addressed these questions by infecting human induced-pluripotent stem cell-derived CNS and PNS neurons with the {beta} strain of SARS-CoV-2. Our results show that SARS-CoV-2 infects PNS neurons more efficiently than CNS neurons, despite lower expression levels of angiotensin converting enzyme 2. Infected PNS neurons produced interferon {lambda}1, several interferon stimulated genes and proinflammatory cytokines. They also displayed neurodegenerative-like alterations, as indicated by increased levels of sterile alpha and Toll/interleukin receptor motif-containing protein 1, amyloid precursor protein and -synuclein and lower levels of nicotinamide mononucleotide adenylyltransferase 2 and {beta}-III-tubulin. Interestingly, blockade of the Janus kinase and signal transducer and activator of transcription pathway by Ruxolitinib did not increase SARS-CoV-2 infection, but reduced neurodegeneration, suggesting that an exacerbated neuronal innate immune response contributes to pathogenesis in the PNS.

microbiology↗

Membrane-remodeling protein ESCRT-III homologs incarnate the evolution and morphogenesis of multicellular magnetotactic bacteria

Endosomal sorting complex required transport (ESCRT) III proteins are essential for membrane remodeling and repair across all domains of life. Eukaryotic ESCRT-III and the cyanobacterial homologs PspA and Vipp1/Imm30 remodel membrane into vesicles, rings, filaments and tubular rods structures. Here our microscopy analysis showed that multicellular bacteria, referred to as magnetoglobules, possess multiple compartments including magnetosome organelles, polyphosphate granules, vesicles, rings, tubular rods, filaments and MVB-like structures. Therefore, membrane remodeling protein PspA might be required for the formation of these compartments, and contribute to the morphogenesis and evolution of multicellularity. To assess these hypotheses, we sequenced nine genomes of magnetoglobules and found a significant genome expansion compared to unicellular magnetotactic bacteria. Moreover, PspA was ubiquitous in magnetoglobules and formed a distinct clade on the tree of eubacterial and archaeal ESCRT-III. The phylogenetic feature suggested the evolution of magnetoglobules from a unicellular ancestor of deltaproteobacterium. Hetero-expression of ellipsoidal magnetoglobule pspA2 gene alone in Escherichia coli resulted in intracellular membrane aggregation. GFP fusion labeling revealed polar location of PspA2 in rod-shaped unicells and regular interval location in filamentous cells. Cryo-electron tomography analysis showed filament bundle, membrane sacculus, vesicles and MVB-like structure in the cells expressing PspA2. Moreover, electron-dense area with a similar distribution as GFP-PspA2 foci in filamentous cells changed the inward orientation of the septum, which might interfere with the cell division. Collectively, these results show the membrane remodeling function of magnetoglobule PspA proteins, which may contribute to morphogenesis and the evolution of multicellularity of magnetotactic bacteria.

microbiology↗

A novel antidepressant acting via allosteric inhibition of GluN2D-incorporated NMDA receptors at GABAergic interneurons

N-methyl-D-aspartate receptors (NMDARs) are glutamate-gated calcium-permeable excitatory channels. They have attracted great interest as potential targets for the treatment of depression in recent years. NMDARs typically assemble as heterotetramers composed of two GluN1 and two alternative GluN2 (2A-2D) subunits, the latter of which endow various subtypes with diverse gating and pharmacological properties. To date, limited molecules with GluN2 specificity have been identified to show antidepressant effects. Here, we identify a compound termed YY-23 extracted from Rhizoma Anemarrhenae allosterically inhibited the channel activities of GluN2C- or GluN2D-incorporated NMDARs, an effect that was presumably influenced by the S2 segment in the ligand-binding domain of the GluN2 subunit. We found that prefrontal GluN2D-containing NMDARs were predominantly expressed at GABAergic interneurons rather than pyramidal neurons. Furthermore, we revealed that YY-23 suppressed the activity of GluN2D-containing NMDARs and GABAergic neurotransmission in the medial prefrontal cortex (mPFC). As a consequence, this GABAergic disinhibition facilitated the excitatory transmission. Behavioural experiments showed that YY-23 acted as a rapid antidepressant in both stress-naive and stressed animal models, which was abolished in Grin2d-knockout mice. Together, our findings suggest that GluN2D-incorporated NMDARs on GABAergic interneurons might be promising therapeutic targets for the treatment of depression.

neuroscience↗

Ratio-based quantitative multiomics profiling using universal reference materials empowers data integration

Multiomics profiling is a powerful tool to characterize the same samples with complementary features orchestrating the genome, epigenome, transcriptome, proteome, and metabolome. However, the lack of ground truth hampers the objective assessment of and subsequent choice from a plethora of measurement and computational methods aiming to integrate diverse and often enigmatically incomparable omics datasets. Here we establish and characterize the first suites of publicly available multiomics reference materials of matched DNA, RNA, proteins, and metabolites derived from immortalized cell lines from a family quartet of parents and monozygotic twin daughters, providing built-in truth defined by family relationship and the central dogma. We demonstrate that the "ratio"-based omics profiling data, i.e., by scaling the absolute feature values of a study sample relative to those of a concurrently measured universal reference sample, were inherently much more reproducible and comparable across batches, labs, platforms, and omics types, thus empower the horizontal (within-omics) and vertical (cross-omics) data integration in multiomics studies. Our study identifies "absolute" feature quantitation as the root cause of irreproducibility in multiomics measurement and data integration, and urges a paradigm shift from "absolute" to "ratio"-based multiomics profiling with universal reference materials.

systems biology↗

Structure of a G protein-coupled receptor with GRK2 and a biased ligand

Phosphorylation of G protein-coupled receptors (GPCR) by GPCR kinases (GRKs) desensitizes G protein signaling and promotes arrestin signaling, which is also modulated by biased ligands1-6. Molecular assembly of GRKs to GPCRs and the basis of GRK-mediated biased signaling remain largely unknown due to the weak GPCR-GRK interactions. Here we report the complex structure of neurotensin receptor 1 (NTSR1) bound to GRK2, Gq, and an arrestin-biased ligand, SBI-5537, at a resolution of 2.92 [A]. The high-quality density map reveals the clear arrangement of the intact GRK2 with the receptor, with the N-terminal helix of GRK2 docking into the open cytoplasmic pocket formed by the outward movement of the receptor TM6, analogous of the binding of G protein to the receptor. Strikingly, the arrestin-biased ligand is found at the interface between GRK2 and NTSR1 to enhance GRK2 binding. The binding mode of the biased ligand is compatible with arrestin binding but is clashed with the binding of a G protein, thus provide an unambiguous mechanism for its arrestin-biased signaling capability. Together, our structure provides a solid model for understanding the details of GPCR-GRK interactions and biased signaling.

cell biology↗

Highly synchronized cortical circuit dynamics mediate spontaneous pain

Cortical neural dynamics mediate information processing for the cerebral cortex, implicated in fundamental biological processes, such as vision and olfaction, in addition to neurological and psychiatric diseases. Spontaneous pain is a key feature of human neuropathic pain. Whether spontaneous pain pushes cortical network into an aberrant state, and if so, whether it can be brought back to a normal operating range to ameliorate pain are unknown. Using a clinically relevant mouse model of neuropathic pain with robust spontaneous pain-like behavior, we report that orofacial spontaneous pain activated a specific area within the primary somatosensory cortex (S1), displaying synchronized neural dynamics revealed by intravital two-photon calcium imaging. This synchronization was underpinned by local GABAergic interneuron hypoactivity. Pain-induced cortical synchronization could be attenuated by manipulating local S1 networks or clinically effective pain therapies. Specifically, both chemogenetic inhibition of pain-related c-Fos-expressing neurons, and selective activation of GABAergic interneurons, significantly attenuated S1 synchronization. Clinically effective pain therapies including carbamazepine and nerve root decompression could also dampen S1 synchronization. More importantly, restoring a normal range of neural dynamics, through attenuating pain-induced S1 synchronization, alleviated pain-like behavior. These results suggest spontaneous pain pushes S1 regional network into a synchronized state, whereas reversal of this synchronization alleviates pain.

neuroscience↗

An Integrated Physiological, Cytology and Proteomics Reveals Network of Sugarcane Protoplasts Responses to Enzymolysis

The protoplast experimental system has been becoming a powerful tool for functional genomics and cell fusion breeding. However, the physiology and molecular mechanism during enzymolysis is not completely understood and has become a major obstacle to protoplast regeneration. Our study used physiological, cytology, iTRAQ (Isobaric Tags for Relative and Absolute Quantification) -based proteomic and RT-PCR analyses to compare the young leaves of sugarcane (ROC22) and protoplasts of more than 90% viability. We found that oxidation product MDA content increased in the protoplasts after enzymolysis and several antioxidant enzymes such as POD, CAT, APX, and O2- content significantly decreased. The cytology results showed that after enzymolysis, the cell membranes were perforated to different degrees, the nuclear activity was weakened, the nucleolus structure was not obvious, and the microtubules depolymerized and formed many short rod-like structures in protoplasts. The proteomic results showed that 1,477 differential proteins were down-regulated and 810 were up-regulated after enzymolysis of sugarcane young leaves. The GO terms, KEGG and KOG enrichment analysis revealed that differentially abundant proteins were mainly involved in bioenergetic metabolism, cellular processes, osmotic stress, and redox homeostasis of protoplasts, which would allow protein biosynthesis or / degradation. The RT-PCR analysis revealed the expression of osmotic stress resistance genes such as DREB, WRKY, MAPK4, and NAC were up-regulated. Meanwhile, the expression of key regeneration genes such as CyclinD3, CyclinA, CyclinB, Cdc2, PSK, CESA and GAUT were significantly down-regulated in the protoplasts. Hierarchical clustering, identification of redox proteins and oxidation products showed that these proteins were involved in dynamic networks in response to oxidative stress after enzymolysis. We used a variety of methods to figure out how young sugarcane leaves react to enzymes.

cell biology↗

Quartet RNA reference materials and ratio-based reference datasets for reliable transcriptomic profiling

As an indispensable tool for transcriptome-wide analysis of differential gene expression, RNA sequencing (RNAseq) has demonstrated great potential in clinical applications. However, the lack of multi-group RNA reference materials of biological relevance and the corresponding reference datasets for assessing the reliability of RNAseq hampers its wide clinical applications wherein the underlying biological differences among study groups are often small. As part of the Quartet Project for quality control and data integration of multiomic profiling, we established four RNA reference materials derived from immortalized B-lymphoblastoid cell lines from four members of a monozygotic twin family. Additionally, we constructed ratio-based transcriptome-wide reference datasets using multi-batch RNAseq datasets, providing "ground truth" for benchmarking. Moreover, Quartet-sample-based quality metrics were developed for assessing reliability of RNAseq technology in terms of intra-batch proficiency and cross-batch reproducibility. The small intrinsic biological differences among the Quartet samples enable sensitive assessment of performance of transcriptomic measurements. The Quartet RNA reference materials combined with the reference datasets can be served as unique resources for assessing data quality and improving reliability of transcriptomic profiling.

genetics↗

Polymorphic KIR3DL3 expression modulates tissue-resident and innate-like T cells.

Most human killer cell immunoglobulin-like receptors (KIR) are expressed by Natural Killer (NK) cells and recognize HLA class I molecules as ligands. Uniquely, KIR3DL3 is a conserved but polymorphic inhibitory KIR recognizing a B7 family ligand, HHLA2, and is implicated for immune checkpoint targeting. Because the expression profile and biological function of KIR3DL3 remained elusive, we searched extensively for KIR3DL3 transcripts, revealing expression is highly enriched in {gamma}{delta} and CD8+ T cells rather than NK cells. These KIR3DL3 expressing cells are rare in the blood and thymus, but more common in the lungs and digestive tract. High resolution flow cytometry and single cell transcriptomics showed that peripheral blood KIR3DL3+ T cells have an activated transitional memory phenotype and are hypofunctional. The TCR usage is biased towards genes from early rearranged TCR- variable segments or V{delta}1 chains. Whereas we detected no impact of KIR3DL3 polymorphism on ligand binding, variants in the proximal promoter and at residue 86 can reduce expression. Together, we demonstrate that KIR3DL3 is upregulated in response to unconventional T cell stimulation and that individuals may vary in their ability to express KIR3DL3. These results have implications for the personalized targeting of KIR3DL3/HHLA2 checkpoint inhibition.

immunology↗

stAPAminer: Mining Spatial Patterns of Alternative Polyadenylation for Spatially Resolved Transcriptomic Studies

Alternative polyadenylation (APA) contributes to transcriptome complexity and gene expression regulation, which has been implicated in various cellular processes and diseases. Single-cell RNA-seq (scRNA-seq) has led to the profile of APA at the single-cell level, however, the spatial information of cells is not preserved in scRNA-seq. Alternatively, spatial transcriptomics (ST) technologies provide opportunities to decipher the spatial context of the transcriptomic landscape within single cells and/or across tissue sections. Pioneering studies on ST have unveiled potential spatially variable genes and/or splice isoforms, however, the pattern of APA usages in spatial contexts remains unappreciated. Here, we developed a toolkit called stAPAminer for mining spatial patterns of APA from spatial barcoded ST data. APA sites were identified and quantified from the ST data. Particularly, an imputation model based on K-nearest neighbors algorithm was designed for recovering APA signals. Then APA genes with spatial patterns of APA usage variation were identified. By analyzing the well-established ST data of mouse olfactory bulb (MOB), we present a detailed view of spatial APA usage across morphological layers of MOB with stAPAminer. We complied a comprehensive list of genes with spatial APA dynamics and obtained several major spatial expression patterns representing spatial APA dynamics in different morphological layers. Extending this analysis to two additional replicates of the MOB ST data, we found that spatial APA patterns of many genes are reproducible among replicates. stAPAminer employs the power of ST for exploring transcriptional atlas of spatial APA patterns with spatial resolution, which is available at https://github.com/BMILAB/stAPAminer.

bioinformatics↗

New genomic resources provide insights into the recent evolutionary adaptation of Antirrhinum lineage and multiomics investigation of S-locus

The multi-allelic S-locus, containing a pistil S-RNase and dozens of S-locus F-box (SLF), underlies genetic control of self-incompatibility (SI) in Antirrhinum hispanicum. The genus Antirrhinum, harboring such a SI system has been used as a model to study self-incompatibility extensively. However, there have been limited studies on the genomic organization of the S-locus supergene due to a lack of high-quality genomic data. Here, we present the chromosome-level reference and haplotype-resolved genome assemblies of a self-incompatible Antirrhinum hispanicum line, AhS7S8. Alongside with the draft genome of Misopates orontium, comparative genomics reveals that A.hispanicum diverged from its self-compatible cousin 12.3 million years ago (Mya). Expanded gene families enriched in distinct functional terms implied different evolutionary trajectories of outcrossing and selfing species. For the first time, two complete A.hispanicum S-haplotypes spanning [~]1.2Mb and containing 32 SLFs were reconstructed, while most of the SLFs derived from retroelement-mediated proximal or tandem duplication approximately 122 Mya. Moreover, we detected a candidate cis-transcription factor associated with regulating SLFs expression, and two miRNAs may control the expression of this transcription factor. Inter-specific S-locus and intra-specific S-haplotype comparisons revealed the dynamic nature and polymorphism of the S-locus supergene mediated by continuous gene duplication, segmental translocation or loss, and TE-involved transposition events. Our data provides an excellent resource for future research on the evolutionary studies on S-RNase-based self-incompatibility system.

genomics↗

HiCHub: A Network-Based Approach to Identify Domains of Differential Interactions from 3D Genome Data

Chromatin architecture is important for gene regulation. Existing algorithms for the identification of interactions changes focus on loops between focal loci. Here we develop a network-based algorithm HiCHub to detect chromatin interaction changes at larger scales. It identifies clusters of genomic elements in physical proximity in one state that exhibit concurrent decreases in interaction among them in the opposite state. The hubs exhibit concordant changes in chromatin state and expression changes, supporting their biological significance. HiCHub works well with data of limited sequencing coverage and facilitates the integration of the one-dimensional epigenetic landscape onto the chromatin architecture. HiCHub provides an approach for finding extended architectural changes and contributes to the connection with transcriptional output. HiCHub is freely available at https://github.com/WeiqunPengLab/HiCHub.

bioinformatics↗

A multiplexed in vivo approach to identify driver genes in small cell lung cancer

Small cell lung cancer (SCLC) is a highly lethal form of lung cancer. The high mutation burden in SCLC cells makes it challenging to predict key drivers of SCLC from genome sequencing data, thereby hindering the identification of possible therapeutic targets. Here we develop a quantitative multiplexed approach based on lentiviral barcoding with somatic CRISPR/Cas9-mediated genome editing to functionally investigate candidate regulators of tumor initiation and growth in genetically engineered mouse models of SCLC. Lentiviral vector-mediated SCLC initiation was greatly enhanced by naphthalene pre-treatment, enabling high multiplicity of tumor clones for analysis through high-throughput sequencing methods. Based on a meta-analysis across multiple human SCLC genomic datasets, we quantified the impact of inactivating 39 genes across many candidate pathways and captured both positive and detrimental effects on SCLC initiation and progression upon gene inactivation. This analysis and subsequent validation in human SCLC cells identified TSC1 in the PI3K-AKT-mTOR pathway as a robust tumor suppressor in SCLC. This new approach should illuminate novel drivers of SCLC, facilitate the development of precision therapies for defined SCLC genotypes, and identify new therapeutic targets.

cancer biology↗

Alternative 3' UTRs contributes to post-transcriptional gene expression regulation under high salt stress

High salt stress continually challenges growth and survival of many plants, but the underlying molecular basis is not fully explored. Alternative polyadenylation (APA) produces mRNAs with different 3'UTRs (alternative 3'UTRs) to regulate gene expression at post-transcriptional level. However, the roles of such process in response to salt stress remain elusive. Here, we reported that alternative 3'UTRs responded to high salt stress in the halophyte-Spartina alterniflora, which tolerant to hash salt environment. High salt stress induced the global APA and increased the prevalence of APA events. Strikingly, high salt stress significantly led to 3' UTR lengthening of 207 transcripts through increasing the usage of distal poly(A) sites. Transcripts with alternative 3' UTRs were mainly enriched in salt stress related ion transporters. Alternative 3' UTRs of SaHKT1 increased RNA stability and protein synthesis in vivo. Regulatory AU-rich elements were identified in the alternative 3' UTRs and alternative 3' UTRs increased protein level of SaHKT1 in an AU-rich element dependent manner. Finally, 3' UTR lengthening might result from variations in poly(A) signals and poly(A) factors. Overall, these results suggest that APA is a potential novel high salt stress responsive mechanism by modulating mRNA 3' UTR length. These results also reveal complex regulator roles of alternative 3' UTRs coupling alternative polyadenylation and regulatory elements at post-transcriptional level in plants. One sentence summaryAlternative 3' UTRs acts as a potential novel mechanism in gene expression regulation of high salt tolerant genes

plant biology↗

Functional Connections Among Neurons within Single Columns of Macaque V1

Recent developments in high-density neurophysiological tools now make it possible to record from hundreds of single neurons within local, highly interconnected neural networks. Among the many advantages of such recordings is that they dramatically increase the quantity of identifiable, functional connections between neurons thereby providing an unprecedented view of local circuit interactions. Using high-density, Neuropixels recordings from single neocortical columns of primary visual cortex in nonhuman primates, we identified 1000s of functionally connected neuronal pairs using established crosscorrelation approaches. Our results reveal clear and systematic variations in the strength and synchrony of functional connections across the cortical column. Despite neurons residing within the same column, both measures of functional connectivity depended heavily on the vertical distance separating neuronal pairs, as well as on the similarity of stimulus tuning. In addition, we leveraged the statistical power afforded by the large numbers of connected pairs to categorize functional connections between neurons based on their crosscorrelation functions. These analyses identified distinct, putative classes of functional connections within the full population. These classes of functional connections were corroborated by their unique distributions across defined laminar compartments and were consistent with known properties of V1 cortical circuitry, such as the lead-lag relationship between simple and complex cells. Our results provide a clear proof-of-principle for the use of high-density neurophysiological recordings to assess circuit-level interactions within local neuronal networks.

neuroscience↗

Isocitrate dehydrogenase 3b is required for spermiogenesis but dispensable for retinal degeneration

Isocitrate dehydrogenase 3 (IDH3), a key enzyme in mitochondrial tricarboxylic acid (TCA) cycle, catalyzes the decarboxylation of isocitrate into -ketoglutarate (KG), converting NAD+ into NADH. We have found that IDH3 {beta} subunit (IDH3B) is essential for IDH3 activity in multiple tissues. Loss of Idh3b in mice causes substantial accumulation of the isocitrate and its precursors in the TCA cycle, particularly in the testes, whereas the levels of the downstream metabolites remain unchanged or slightly increased. The Idh3b-knockout (KO) mice have normal visual function without retinal degeneration. However, the male KO mice are infertile. Loss of Idh3b causes energetic deficit and disrupts the biogenesis of acrosome and flagellum, resulting in spermiogenesis arrestment in sperm cells. Together, we demonstrate IDH3B controls its substrate levels in the TCA cycle and it is required for sperm mitochondrial metabolism and spermiogenesis, highlighting the importance of the tissue-specific function of the ubiquitous TCA cycle.

biochemistry↗