Biology subjects

Qian, Z.

Publications and source records attributed to Qian, Z..

At least 37 records · Page 2Linked to original sources

bioRxiv2022

A Host-Harbored Metabolic Susceptibility of Coronavirus Enables Broad-Spectrum Targeting

Host-based antivirals could offer broad-spectrum therapeutics and prophylactics against the constantly-mutating viruses including the currently-ravaging coronavirus, yet must target cellular vulnerabilities of viruses without grossly endangering the host. Here we show that the master lipid regulator SREBP1 couples the phospholipid scramblase TMEM41B to constitute a host "metabolism-to-manufacture" cascade that maximizes membrane supplies to support coronaviral genome replication, harboring biosynthetic enzymes including Lipin1 as druggable viral-specific-essential (VSE) host genes. Moreover, pharmacological inhibition of Lipin1, by a moonlight function of the widely-prescribed beta-blocker Propranolol, metabolically uncouples the SREBP1-TMEM41B cascade and consequently exhibits broad-spectrum antiviral effects against coronaviruses, Zika virus, and Dengue virus. The data implicate a metabolism-based antiviral strategy that is well tolerated by the host, and a potential broad-spectrum medication against current and future coronavirus diseases.

cell biology↗

bioRxiv2022

Genomic underpinnings of convergent adaptation to high altitudes for alpine plants

Evolutionary convergence is one of the most striking examples of adaptation driven by natural selection. However, genomic evidence for convergent adaptation to extreme environments remains scarce. The Himalaya-Hengduan Mountains represent the worlds most species-rich temperate alpine biota, providing an ideal "natural laboratory" for studying convergent adaptation to high altitudes. Here, we generate reference genomes for two alpine plants, Saussurea obvallata (Asteraceae) and Rheum alexandrae (Polygonaceae), with 37,938 and 61,463 annotated protein-coding genes. By integrating an additional five alpine genomes, we investigate genomic signatures of convergent adaptation to the hostile environments of high altitudes. We show that alpine genomes tend to mitigate their genetic load by contracting genes functioning in the immune system to survive such harsh environments with few pathogens present. We detect signatures of convergent positive selection on a set of genes involved in reproduction and development and reveal that molecular convergence has acted on genes involved in self-incompatibility, cell wall modification, DNA repair and stress resistance, which underlie adaptation to extremely cold, high UV radiation and hypoxia environments. Using gene expression profiles, we further demonstrate that genes associated with cuticular wax and flavonoid biosynthetic pathways exhibit higher expression levels in leafy bracts, shedding lights on the genetic mechanisms of the adaptive greenhouse morphology. Our integrative data provide genomic insights into the convergent evolution at higher-taxonomic levels, aiding in deep understanding of genetic adaptation to complex environments.

evolutionary biology↗

bioRxiv2022

Optimization and deoptimization of codons in SARS-CoV-2 and the implications for vaccine development

The spread of Coronavirus Disease 2019 (COVID-19), caused by the SARS-CoV-2 coronavirus, has progressed into a global pandemic. To date, thousands of genetic variants have been identified across SARS-CoV-2 isolates from patients. Sequence analysis reveals that the codon usage of viral sequences decreased over time but fluctuated from time to time. In this study, through evolution modeling, we found that this phenomenon might result from the virus preference for mutations during transmission. Using dual luciferase assays, we further discovered that the deoptimization of codons on viruses might weaken protein expression during the virus evolution, indicating that the choice of codon usage might play important role in virus fitness. Finally, given the importance of codon usage in protein expression and particularly for mRNA vaccine, we designed several omicron BA.2.12.1 and BA.4/5 spike mRNA vaccine candidates based on codon optimization, and experimentally validated their high levels of expression. Our study highlights the importance of codon usage in virus evolution and mRNA vaccine development.

evolutionary biology↗

bioRxiv2022

Transcriptional landscapes and signaling pathways of chloroquine-treated Esophageal squamous cell carcinoma

Esophageal squamous cell carcinoma (ESCC) is one of the human malignancies worldwide, but the mechanism of ESCC development is still unclear. Chloroquine has the anti-tumor function by the inhibition of autophagy and thereby contributing to apoptosis. In our study, we analyzed the RNA-seq data of Chloroquine-treated ESCC cells and identified the transcriptional landscapes. We then used the gene enrichment methods such as KEGG and GO to further analyze the potential signaling pathways. In addition, we constructed the PPI network and Reactome map to further identified the biological processes. We identified the top two signaling pathways that were involved in the chloroquine-treated ESCC: Cell cycle and Glycerophospholipid metabolism. We identified the top ten interactive genes including ATM, CCNB1, FN1, CCT6A, VEGFA, PA2G4, CCT2, CDKN1A, BRIX1, and CDC20. Our study may provide new insights into the mechanisms for the Chloroquine-treated ESCC cells.

bioinformatics↗

bioRxiv2022

Differentially expressed gene profile and relevant pathways of the inhibition of LAMP5 on MLL-rearranged leukemias

LAMP5 is a lysosome-related protein, which showed increased expression levels in MLL-r leukemia. Recent findings showed that LAMP5 is involved in MLL-fusion protein but the specific mechanism is still unclear. In our study, we aim to identify the transcriptional landscapes of the LAMP5-shRNA-treated MLL-r leukemia cells. We used the gene enrichment analyses such as KEGG and GO to further analyze the potential signaling pathways. Moreover, we constructed the PPI network and Reactome map to further identify the biological processes. We found that Lysosome and Cell Cycle are the major signaling pathways involved in the LAMP5-shRNA treated MLL-r leukemia cells. We identified the top ten interactive genes including CDK1, TOP2A, PLK1, CCNA2, ASPM, BUB1, BUB1B, CCNB1, AURKA, and KIF11. Our study may provide novel mechanisms for the treatment of MLL-r leukemia by inhibiting LAMP5.

bioinformatics↗

bioRxiv2022

A Bispecific Antibody Targeting RBD and S2 Potently Neutralizes SARS-CoV-2 Omicron and Other Variants of Concern

Emerging severe acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) variants, especially the Omicron variant, have impaired the efficacy of existing vaccines and most therapeutic antibodies, highlighting the need for additional antibody-based tools that can efficiently neutralize emerging SARS-CoV-2 variants. The use of a "single" agent to simultaneously target multiple distinct epitopes on the spike is desirable to overcome the neutralizing escape of SARS-CoV-2 variants. Herein, we generated a human-derived IgG-like bispecific antibody (bsAb), Bi-Nab35B5-47D10, which successfully retained the specificity and simultaneously bound to the two distinct epitopes on RBD and S2. Bi-Nab35B5-47D10 showed improved spike binding breadth among wild-type (WT) SARS-CoV-2, variants of concern (VOCs) and variants being monitored (VBMs) compared with its parental mAbs. Furthermore, pseudotyped virus neutralization demonstrated that Bi-Nab35B5-47D10 can efficiently neutralize VBMs including Alpha (B.1.1.7), Beta (B.1.351) and Kappa (B.1.617.1) and VOCs including Delta (B.1.617.2), Omicron BA.1 and Omicron BA.2. Crucially, Bi-Nab35B5-47D10 substantially improved neutralizing activity against Omicron BA.1 (IC50= 27.3 ng/mL) and Omicron BA.2 (IC50= 121.1 ng/mL) compared with their parental mAbs. Therefore, Bi-Nab35B5-47D10 represents a potential effective countermeasure against SARS-CoV-2 Omicron and other variants of concern. ImportanceThe new highly contagious SARS-CoV-2 Omicron variant caused substantial breakthrough infections and has become the dominant strain in countries across the world. Omicron variants usually bear high mutations in the spike protein and exhibit considerable escape of most potent neutralization monoclonal antibodies and reduced efficacy of current COVID-19 vaccines. The development of neutralizing antibodies with potent efficacy against the Omicron variant is still an urgent priority. Here, we generated a bsAb, Bi-Nab35B5-47D10, that simultaneously targets SARS-CoV-2 RBD and S2 and improved neutralizing potency and breadth against SARS-CoV-2 WT and the tested variants compared with their parental antibodies. Notably, Bi-Nab35B5-47D10 has more potent neutralizing activity against the VOC Omicron pseudotyped virus. Therefore, Bi-Nab35B5-47D10 is a feasible and potentially effective strategy to treat and prevent COVID-19.

immunology↗

bioRxiv2022

Identification of biological processes and signaling pathways in lactate-treated cancer cells

Cancer is a complex disease that involves the alterations of metabolic pathways and tumor microenvironment. Lactate in the tumor microenvironment leads to cancer proliferation, metastasis, and angiogenesis. However, the effect of lactate on prostate cancer cells is still unclear. Here, our objective is to identify the significant molecules and biological processes by analyzing the RNA-seq data. The GSE195639 was produced by the Illumina NextSeq 500 (Homo sapiens). The KEGG and GO analyses show that Herpes simplex virus 1 infection and Rap1 signaling pathway are considered major pathways during the lactate-treated cancer cells. Furthermore, we identified the top ten essential molecules including IL6, CASP3, JUN, MAPK3, BRCA1, PIK3R1, CCNA2, TPI1, APOE, and EXO1. Therefore, our study may provide novel insights into the mechanism of prostate cancers.

bioinformatics↗

bioRxiv2022

Outbreak.info: A standardized, searchable platform to discover and explore COVID-19 resources and data

To combat the ongoing COVID-19 pandemic, scientists have been conducting research at breakneck speeds, producing over 52,000 peer-reviewed articles within the first year. To address the challenge in tracking the vast amount of new research located in separate repositories, we developed outbreak.info Research Library, a standardized, searchable interface of COVID-19 and SARS-CoV-2 resources. Unifying metadata from sixteen repositories, we assembled a collection of over 350,000 publications, clinical trials, datasets, protocols, and other resources as of October 2022. We used a rigorous schema to enforce consistency across different sources and resource types and linked related resources. Researchers can quickly search the latest research across data repositories, regardless of resource type or repository location, via a search interface, public API, and R package. Finally, we discuss the challenges inherent in combining metadata from scattered and heterogeneous resources and provide recommendations to streamline this process to aid scientific research.

bioinformatics↗

bioRxiv2022

Genomic analyses identify biological processes in ZKSCAN3-deficient colorectal cancer cells

Zinc finger with KRAB and SCAN domain 3 (ZKSCAN3) is associated with cell differentiation, cell proliferation and apoptosis, which has been reported as a critical driver of colorectal cancer. However, the mechanism and function of ZKSCAN3 in colorectal cancer is still unclear. Here, our objective is to identify the functional molecules and signaling by analyzing the RNA-seq data. The GSE172201 was created by the Illumina NovaSeq 6000 (Homo sapiens). The KEGG and GO analyses indicated the immune defense response to virus and transcription activity are major processes in the ZKSCAN3 KO colorectal cancer cells. Moreover, we determined ten key molecules including STAT1, MX1, DDX58, PPARG, EGFR, APP, BST2, DLG4, OASL, and IFIT2. Therefore, our study may provide the novel knowledge of ZKSCAN3 mediated colorectal cancer.

bioinformatics↗

bioRxiv2021

METTL3 facilitates hepatic fibrosis progression via m6A-YTHDF2 dependent silencing of GPR161

Hepatic fibrosis (HF) is a very common condition seen in millions of patients with various liver diseases. N6-methyladenosine (m6A) plays critical roles in various biological and pathological processes. However, the role of m6A and its main methyltransferase METTL3 in HF remains obscure. Here, we reported that METTL3 expression was elevated in HSCs from CCl4 induced fibrotic liver. METTL3 knockdown in HSCs mediated by recombinant adeno-associated-virus serotype 9 packed short hairpin RNA against METTL3 alleviated liver injury and fibrosis compared to empty carrier group. Mechanistically, the decreased liver fibrosis in CCl4-treated HSC-specific METTL3 knockdown mice was due to the increased GPR161 that is a suppressor of Hedgehog pathway, a well-known pathway to activate in liver injury and regeneration. As expect, GPR161 transferred into HSCs alleviated liver fibrosis and HSC activation. Forced GPR161 expression inhibited Gli3 activated form nuclear accumulation and subsequently suppressed fibrosis-associate gene expression. Conclusion, HSC-specific deletion of METTL3 inhibits liver fibrosis via elevated GPR161 expression, which subsequently suppressed Hedgehog pathway activation and fibrosis-associated genes expression, providing novel therapeutic targets for HF therapy. Synopsis O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=196 SRC="FIGDIR/small/472749v1_ufig1.gif" ALT="Figure 1"> View larger version (78K): org.highwire.dtl.DTLVardef@1245f3aorg.highwire.dtl.DTLVardef@e7effdorg.highwire.dtl.DTLVardef@13ce319org.highwire.dtl.DTLVardef@61be8b_HPS_FORMAT_FIGEXP M_FIG C_FIG The role of RNA m6A methyltransferase METTL3 in the progression of hepatic fibrosis is unclear. Here, we reveal that suppresses m6A modification by depletion of METTL3 in Hepatic Stellate Cells (HSCs), stabilizes the GPR161 transcripts, that involved in suppressing Hedgehog signaling pathway, through YTHDF2, thereby alleviating the fibrosis feature of CCl4-induced liver injury. O_LIDisruption of m6A methyltransferases METTL3 in HSCs alleviates liver fibrosis feature. C_LIO_LIMETTL3 depletion in liver HSCs suppresses its activation by suppressing Hedgehog signaling pathway through stabilizing GPR161 transcripts in an m6A-YTHDF2 dependent manner. C_LIO_LIGPR161 activates PKA that mediates phosphorylation and degradation of full-length Gli3 (Gli3-FL) protein, then the short Gli3 (Gli3-R) translocated into the nucleus and suppresses the fibrosis associated gene transcription. C_LIO_LIThe elevated METTL3 expression is attribute to its promoter H3K27ac modification. C_LI

molecular biology↗

bioRxiv2021

BioThings SDK: a toolkit for building high-performance data APIs in biomedical research

SummaryTo meet the increased need of making biomedical resources more accessible and reusable, Web APIs or web services have become a common way to disseminate knowledge sources. The BioThings APIs are a collection of high-performance, scalable, annotation as a service APIs that automate the integration of biological annotations from disparate data sources. This collection of APIs currently includes MyGene.info, MyVariant.info, and MyChem.info for integrating annotations on genes, variants, and chemical compounds, respectively. These APIs are used by both individual researchers and application developers to simplify the process of annotation retrieval and identifier mapping. Here, we describe the BioThings Software Development Kit (SDK), a generalizable and reusable toolkit for integrating data from multiple disparate data sources and creating high-performance APIs. This toolkit allows users to easily create their own BioThings APIs for any data type of interest to them, as well as keep APIs up-to-date with their underlying data sources. Availability and implementationThe BioThings SDK is built in Python and released via PyPI (https://pypi.org/project/biothings/). Its source code is hosted at its github repository (https://github.com/biothings/biothings.api).

bioinformatics↗

bioRxiv2021

SeqScreen: Accurate and Sensitive Functional Screening of Pathogenic Sequences via Ensemble Learning

The COVID-19 pandemic has emphasized the importance of detecting known and emerging pathogens from clinical and environmental samples. However, robust characterization of pathogenic sequences remains an open challenge. To this end, we developed SeqScreen, which can accurately characterize short nucleotide sequences using taxonomic and functional labels, and a customized set of curated Functions of Sequences of Concern (FunSoCs) specific to microbial pathogenesis. We show our ensemble machine learning model can label protein-coding sequences with FunSoCs with high recall and precision. SeqScreen is a step towards a novel paradigm of functionally informed pathogen characterization and is available for download at: www.gitlab.com/treangenlab/seqscreen

bioinformatics↗

bioRxiv2020

The Rhinolophus affinis bat ACE2 and multiple animal orthologs are functional receptors for bat coronavirus RaTG13 and SARS-CoV-2

Bat coronavirus (CoV) RaTG13 shares the highest genome sequence identity with SARS-CoV-2 among all known coronaviruses, and also uses human angiotensin converting enzyme 2 (hACE2) for virus entry. Thus, SARS-CoV-2 is thought to have originated from bat. However, whether SARS-CoV-2 emerged from bats directly or through an intermediate host remains elusive. Here, we found that Rhinolophus affinis bat ACE2 (RaACE2) is an entry receptor for both SARS-CoV-2 and RaTG13, although RaACE2 binding to the receptor binding domain (RBD) of SARS-CoV-2 is markedly weaker than that of hACE2. We further evaluated the receptor activities of ACE2s from additional 16 diverse animal species for RaTG13, SARS-CoV, and SARS-CoV-2 in terms of S protein binding, membrane fusion, and pseudovirus entry. We found that the RaTG13 spike (S) protein is significantly less fusogenic than SARS-CoV and SARS-CoV-2, and seven out of sixteen different ACE2s function as entry receptors for all three viruses, indicating that all three viruses might have broad host rages. Of note, RaTG13 S pseudovirions can use mouse, but not pangolin ACE2, for virus entry, whereas SARS-CoV-2 S pseudovirions can use pangolin, but limited for mouse, ACE2s enter cells. Mutagenesis analysis revealed that residues 484 and 498 in RaTG13 and SARS-CoV-2 S proteins play critical roles in recognition of mouse and human ACE2. Finally, two polymorphous Rhinolophous sinicus bat ACE2s showed different susceptibilities to virus entry by RaTG13 and SARS-CoV-2 S pseudovirions, suggesting possible coevolution. Our results offer better understanding of the mechanism of coronavirus entry, host range, and virus-host coevolution.

microbiology↗

bioRxiv2020

The Establishment of Transgenerational Epigenetic Inheritance in the C. elegans Germline is Mediated by Lipid Metabolism

Environmental stress-induced epigenetic changes are inherited by germlines and profoundly affect the behavior and physiology of subsequent generations. However, the mechanisms by which acquired transgenerational epigenetic imprints are established in the parental germline remain poorly understood. In this study, we used Caenorhabditis elegans as a model system and demonstrated that a key node of metabolism-Pod-2, an acetyl-CoA carboxylase, together with vitellogenins (Vits), cholesterol-binding/transport proteins, guide establishment of the acquired transgenerational epigenetic modifications H3K27me3 in the parental germline. The loss of function of a Vit; its transporter or receptor; or its binding partner, pod-2, resulted in the loss of acquired epigenetic memory in the germline. Our findings indicate that lipid metabolism is a critical mediator for establishing transgenerational epigenetic imprints in the germline.

genetics↗

bioRxiv2020

Surveying Brain Tumor Heterogeneity by Single-Cell RNA Sequencing of Multi-sector Biopsies

Brain tumors are among the most challenging human tumors for which the mechanisms driving progression and heterogeneity remain poorly understood. We combined single-cell RNA-seq with multisector biopsies to sample and analyze single-cell expression profiles of gliomas from 13 Chinese patients. After classifying individual cells, we generated a spatial and temporal landscape of glioma that revealed the patterns of invasion between the different sub-regions of gliomas. We also used single-cell inferred CNVs and pseudotime trajectories to inform on the crucial branches that dominate tumor progression. The dynamic cell components of the multi-region biopsy analysis allowed us to spatially deconvolute with unprecedented accuracy the transcriptomic features of the core and those of the periphery of glioma at single cell level. Through this rich and geographically detailed dataset, we were also able to characterize and construct the chemokine and chemokine receptor interactions that exist among different tumor and non-tumor cells. This study provides the first spatial-level analysis of the cellular states that characterize human gliomas. It also presents an initial molecular map of the crosstalks between glioma cells and the surrounding microenvironment with single cell resolution.

genomics↗

bioRxiv2019

Sensing Traction Force on Matrix Induces Cell-Cell Distant Mechanical Communications for Self-assembly

The long-range biomechanical force propagating across large scale may reserve the capability to trigger coordinative responses within cell population such as during angiogenesis, epithelial tubulogenesis, and cancer metastasis. How cells communicate in a distant manner within the group for self-assembly remains largely unknown. Here we found that airway smooth muscle cells (ASMCs) rapidly self-assembled into well-constructed network on 3D Matrigel containing type I collagen (COL), which relied on long-range biomechanical force across the matrix to direct cell-cell distant interactions. Similar results happened by HUVEC cells to mimic angiogenesis. Interestingly, single ASMCs initiated multiple extended protrusions precisely pointing to neighboring cells in distance, depending on traction force sensing. Separate ASMCs sensed each other to move directionally on both non-fibrous Matrigel and more efficiently when containing fibrous COL, but lost mutual sensing on fixed gel or coated glass due to no long-range force transmission. Beads tracking assay demonstrated distant transmission of traction force, and finite element method modeling confirmed the consistency between maximum strain distribution on matrix and cell directional movements in experiments. Furthermore, ASMCs recruited COL from the hydrogel to build fibrous network to mechanically stabilize cell network. Our results revealed for the first time that cells can sense traction force transmitted through the matrix to initiate cell-cell distant mechanical communications, resulting in cell directional migration and coordinative self-assembly with active matrix remodeling. As an interesting phenomenon, cells sound able to make phone call via long-range biomechanics, which implicates physiological importance such as for tissue pattern formation.

biophysics↗

bioRxiv2019

Single-cell-resolution transcriptome map of human, chimpanzee, bonobo, and macaque brains

Identification of gene expression traits unique to the human brain sheds light on the mechanisms of human cognition. Here we searched for gene expression traits separating humans from other primates by analyzing 88,047 cell nuclei and 422 tissue samples representing 33 brain regions of humans, chimpanzees, bonobos, and macaques. We show that gene expression evolves rapidly within cell types, with more than two-thirds of cell type-specific differences not detected using conventional RNA sequencing of tissue samples. Neurons tend to evolve faster in all hominids, but non-neuronal cell types, such as astrocytes and oligodendrocyte progenitors, show more differences on the human lineage, including alterations of spatial distribution across neocortical layers.

evolutionary biology↗

bioRxiv2019

Single-cell genomic atlas of great ape cerebral organoids uncovers human-specific features of brain development

The human brain has changed dramatically since humans diverged from our closest living relatives, chimpanzees and the other great apes1-5. However, the genetic and developmental programs underlying this divergence are not fully understood6-8. Here, we have analyzed stem cell-derived cerebral organoids using single-cell transcriptomics (scRNA-seq) and accessible chromatin profiling (scATAC-seq) to explore gene regulatory changes that are specific to humans. We first analyze cell composition and reconstruct differentiation trajectories over the entire course of human cerebral organoid development from pluripotency, through neuroectoderm and neuroepithelial stages, followed by divergence into neuronal fates within the dorsal and ventral forebrain, midbrain and hindbrain regions. We find that brain region composition varies in organoids from different iPSC lines, yet regional gene expression patterns are largely reproducible across individuals. We then analyze chimpanzee and macaque cerebral organoids and find that human neuronal development proceeds at a delayed pace relative to the other two primates. Through pseudotemporal alignment of differentiation paths, we identify human-specific gene expression resolved to distinct cell states along progenitor to neuron lineages in the cortex. We find that chromatin accessibility is dynamic during cortex development, and identify instances of accessibility divergence between human and chimpanzee that correlate with human-specific gene expression and genetic change. Finally, we map human-specific expression in adult prefrontal cortex using single-nucleus RNA-seq and find developmental differences that persist into adulthood, as well as cell state-specific changes that occur exclusively in the adult brain. Our data provide a temporal cell atlas of great ape forebrain development, and illuminate dynamic gene regulatory features that are unique to humans.

developmental biology↗