Biology subjects

Liu, R.

Publications and source records attributed to Liu, R..

At least 235 records · Page 13Linked to original sources

bioRxiv2021

Gasotransmitter H2S accelerates seed germination via activating AOX mediated cyanide-resistant respiration pathway

Hydrogen sulfide (H2S) has been witnessed as a crucial gasotransmitter involving in various physiological processes in plants. H2S signaling has been reported to involve in regulating seed germination, but the underlying mechanism remains poorly understood. Here, we found that endogenous H2S production was activated in germinating Arabidopsis seeds, correlating with upregulated both the transcription and the activity of enzymes (LCD and DES1) responsible for H2S production. Moreover, NaHS (the H2S donor) fumigation significantly accelerated seed germination, while H2S-generation defective (lcd/des1) seeds exhibited decreased germination speed. Further results indicated that the alternative oxidase (AOX), a cyanide-insensitive terminal oxidase, can be stimulated by imbibition, and the expression of AOX genes was provoked lag behind H2S production during germination. Additionally, exogenous H2S fumigation significantly reinforced imbibition induced enhancement of AOX1A expression, and mediated post-translational modification to keep AOX in its reduced and active state, which mainly involved H2S induced increase of the GSH/GSSG ratio and the cell reducing power. Consequently, H2S signaling acts as a trigger to induce AOX mediated cyanide-resistant respiration to accelerate seed germination. Our study correlates H2S signaling to cyanide metabolism, which also participates in endogenous H2S generation, providing evidence for more extensive studies of H2S signaling. HighlightGasotransmitter H2S provokes AOX mediated cyanide-resistant respiration, mainly through both long-term (up-regulating AOX1A expression) and short-term (inducing post-translational activation of AOX) regulatory modes, to accelerate seed germination.

molecular biology↗

bioRxiv2021

Engineered neuron-targeting, placental mesenchymal stromal cell-derived extracellular vesicles for in utero treatment of myelomeningocele

This study investigated the feasibility and efficiency of neuron-targeting hybrid placental mesenchymal stromal cell-derived extracellular vesicles (PMSC-EVs), engineered by membrane fusion with Targeted Axonal Import (TAxI) peptide modified, TrkB agonist 7,8-DHF-loaded liposomes for treatment of myelomeningocele (MMC) via intra-amniotic cavity administration. The prepared TAxI modified liposomes with 7,8-DHF were used to fuse with PMSC-EVs. Different fusion approaches were investigated and freeze-thaw-extrude method was found to be the optimal. The engineered PMSC-EVs had a uniform particle size and efficiently loaded 7,8-DHF. It also had typical markers of native EVs. Freeze-thaw-extrude process did not change the release profile of 7,8-DHF from engineered EVs compared to TAxI modified, 7,8-DHF loaded liposomes. The engineered EVs could elicit TrkB phosphorylation depending on the incorporation of 7,8-DHF while native EVs did not. The engineered EVs increased neurite outgrowth of apoptotic cortical neurons induced by staurosporine, suggesting that they exhibited neuroprotective function. In a rodent model of MMC, neuron-targeting, engineered EVs became an active targeting delivery system to MMC defect sites. Pups treated with engineered EVs had the lowest density of apoptotic cells and displayed a therapeutic outcome. The study suggests the potential use of engineered hybrid, active neuron-targeting EVs for the in utero treatment of MMC.

bioengineering↗

bioRxiv2021

The rs1421085 variant within FTO promotes but not inhibits thermogenesis and is potentially associated with human migration

Disease-associated GWAS loci are predominantly scattered among noncoding regions of the human genome, which impedes causality estimation. One lead risk signal of obesity-rs1421085 T>C within the FTO gene-is reported to functional in vitro but lack of organismal evidence. Here, we established global and the brown-adipocyte specific locus-knock-in mice to recapitulate this homologous variant in humans, and discovered the minor allele (C-allele) as one candidate thermogenic locus. Mice carrying the C-alleles showed increased thermogenic capacity and a resistance to high-fat diet-induced adiposity. In terms of mechanism, the knock-in models showed enhanced FTO expression, while FTO knockdown or inhibition effectively eliminated the increased thermogenic ability of brown adipocytes. In humans, the C-allele was associated with lower birthweight, and its allele frequency increases following the environmental temperature decreases. Cumulatively, these findings demonstrated rs1421085 T>C as a functional variant regulating whole-body thermogenesis, and this variation was possibly related to early human migration from hot to cold environments.

genetics↗

bioRxiv2021

Targeted Reactivation of X-linked Endogenous FOXP3 Gene from X-chromosome Inactivation in Human Female Breast Cancer Cells

Unlike autosomal tumor suppressors, which must be inactivated by a two-hit Knudson mechanism, X-linked tumor suppressors can be inactivated by a single hit due to X-chromosome inactivation (XCI). Here, we argue that targeted reactivation of the non-mutated allele from XCI offers a potential therapy for female breast cancers. Towards this goal, we developed a dual CRISPR interference and activation (CRISPRi/a) approach for simultaneously silencing and reactivating multiple X-linked genes using two orthogonal, nuclease-deficient CRISPR/Cas9 (dCas9) proteins. We verified the efficacy for use of Streptococcus pyogenes (Sp) dCas9-KRAB for silencing XIST and Staphylococcus aureus (Sa) dCas9-VPR for activating FOXP3 in various cell lines of human female breast cancers. We confirmed CRISPR reactivation of the non-mutated copy of FOXP3 from XCI in human breast cancer CRL2316 cells, which express a synonymous heterozygous mutation (p.L266L; c.798G>C) in the coding region of FOXP3. Further, simultaneous silencing of XIST from XCI led to enhanced and prolonged FOXP3 reactivation. We optimized CRISPRa by fusing SadCas9 to the demethylase TET1 and observed enhanced FOXP3 activation. Analysis of the conserved CpG-rich region of FOXP3 intron 1 confirmed that CRISPRi/a-mediated simultaneous FOXP3 activation and XIST silencing were accompanied by elevated H4 acetylation, including H4K5ac, H4K8ac, and H4K16ac, and H3K4me3 and lower DNA methylation. This indicates that CRISPRi/a targeting to XIST and FOXP3 loci alters their transcription and their nearby epigenetic modifications. The simultaneous activation and repression of the X-linked, endogenous FOXP3 and XIST from XCI offers a useful research tool and a potential therapeutic for female breast cancers. This approach also provides new routes of targeted therapy for other X-chromosome-linked genetic disorders.

cancer biology↗

bioRxiv2021

Stable Flow-induced Expression of KLK10 Inhibits Endothelial Inflammation and Atherosclerosis

IntroductionAtherosclerosis preferentially occurs in arterial regions exposed to disturbed blood flow (d-flow), while regions exposed to stable flow (s-flow) are protected. The proatherogenic and atheroprotective effects of d-flow and s-flow are mediated in part by the global changes in endothelial cell gene expression, which regulates endothelial dysfunction, inflammation, and atherosclerosis. Previously, we identified Kallikrein-Related Peptidase 10 (KLK10, a secreted serine protease) as a flow-sensitive gene in arterial endothelial cells, but its role in endothelial biology and atherosclerosis was unknown. Methods and ResultsHere, we show that KLK10 is upregulated under s-flow conditions and downregulated under d-flow conditions using in vivo mouse models and in vitro studies with cultured endothelial cells (ECs). Single-cell RNA sequencing (scRNAseq) and scATAC sequencing (scATACseq) study using the partial carotid ligation mouse model showed flow-regulated KLK10 expression at the epigenomic and transcription levels. Functionally, KLK10 protected against d-flow-induced inflammation and permeability dysfunction in human artery ECs (HAECs). Further, treatment of mice in vivo with rKLK10 decreased arterial endothelial inflammation in d-flow regions. Additionally, rKLK10 injection or ultrasound-mediated transfection of KLK10-expressing plasmids inhibited atherosclerosis in ApoE-/- mice. Studies using pharmacological inhibitors and siRNAs revealed that the anti-inflammatory effects of KLK10 were mediated by a Protease Activated Receptors (PAR1/2)-dependent manner. However, unexpectedly, KLK10 did not cleave the PARs. Through a proteomics study, we identified HTRA1 (High-temperature requirement A serine peptidase 1), which bound and cleaved KLK10. Further, siRNA knockdown of HTRA1 prevented KLK10s anti-inflammatory and barrier protective function in HAECs, suggesting that HTRA1 regulates KLK10 function. Moreover, KLK10 expression was significantly reduced in human coronary arteries with advanced atherosclerotic plaques compared to those with less severe plaques. ConclusionKLK10 is a flow-sensitive endothelial protein and, in collaboration with HTRA1, serves as an anti-inflammatory, barrier-protective, and anti-atherogenic factor.

cell biology↗

bioRxiv2021

Investigating the active substance and mechanism of Jing-Fu-Kang granules via mass spectrometry technology and network pharmacology method

Jing-Fu-Kang granules (JFKG) is a famous Chinese patent medicine for the treatment of cervical spondylosis around the China, whereas the active substance and mechanism are not completely investigated clearly. In the current study, a rapid separation and identification method using UPLC-QE-Orbitrap-MS was established, 97 chemical constituents from JFKG were identified, and 16 prototype components from plasma samples after administration of JFKG were observed within 16 min. The structures of typical compounds were preliminarily speculated by comparing the retention time and fragmentation pattern. Furthermore, multiple databases were used to integrate the compound targets of JFKG, and the disease targets related to cervical spondylosis. After the intersection of the two sets of targets, a protein-protein interaction (PPI) network and a TCM-component-target-pathway-disease network were established, then using the DAVID database to perform gene ontology analysis and Kyoto Encyclopedia of Genes and Genomes analysis on the common targets to find related pathways. Finally, a total of 531 common targets and 136 pathways were found to participate in the mechanism. Our findings will help to further confirm the mechanism of JFKG for relieving cervical spondylosis, which will improve the scientific rationality of JFKG in clinical use, and can also assist in guiding doctors.

pharmacology and toxicology↗

bioRxiv2021

Drop, Swap, and Generate: A Self-Supervised Approach for Generating Neural Activity

Meaningful and simplified representations of neural activity can yield insights into how and what information is being processed within a neural circuit. However, without labels, finding representations that reveal the link between the brain and behavior can be challenging. Here, we introduce a novel unsupervised approach for learning disentangled representations of neural activity called Swap-VAE. Our approach combines a generative modeling framework with an instance-specific alignment loss that tries to maximize the representational similarity between transformed views of the input (brain state). These transformed (or augmented) views are created by dropping out neurons and jittering samples in time, which intuitively should lead the network to a representation that maintains both temporal consistency and invariance to the specific neurons used to represent the neural state. Through evaluations on both synthetic data and neural recordings from hundreds of neurons in different primate brains, we show that it is possible to build representations that disentangle neural datasets along relevant latent dimensions linked tso behavior.

neuroscience↗

bioRxiv2021

Dynamics of glioma-associated microglia and macrophages reveals their divergent roles in the immune response of brain

Glioma microenvironment contains numerous myeloid cells, including brain-resident microglia and recruited monocytes and macrophages (Mo/M{varphi}). When studied collectively, these cells presented pro-tumor effects. Yet, little is known about the differences among these myeloid populations. Using single-cell sequencing analysis, we studied the phenotypic characteristics, spatial variances, and dynamic changes of these relatively heterogeneous cell populations. Microglia populations with distinct spatial distribution presented different functional states, including tumor-associated subsets with phagocytic and lipid metabolism signature. Notably, this subset of glioma-associated microglia shared similar trait in a diverse spectrum of neuropathogenesis. In contrast, Mo/M{varphi} highly expressed genes related to angiogenesis, tumor invasion, and immune evasion. Moreover, identifying the Mo/M{varphi} subsets had prognostic and classificatory value in clinical application. These results thus eliminate the long-existing ambiguity about the role of microglia and Mo/M{varphi} in glioma pathogenesis, and reveal their prognostic and therapeutic value for glioma patients.

immunology↗

bioRxiv2021

Reactivities of the Front Pocket N-Cap Cysteines in Human Kinases

Discovery of targeted covalent inhibitors directed at nucleophilic cysteines is attracting enormous interest. The front pocket (FP) N-cap cysteine has been the most popular site of covalent modification in kinases. Curiously, a long-standing hypothesis associates the N-cap position with cysteine hyper-reactivity; however, traditional computational methods suggest that the FP N-cap cysteines in all human kinases are predominantly unreactive at physiological pH. Here we applied a newly developed GPU-accelerated continuous constant pH molecular dynamics (CpHMD) tool to test the N-cap hypothesis and elucidate the cysteine reactivities. Simulations showed that the N-cap cysteines in BTK/BMX/TEC/ITK/TXK, JAK3, and MKK7 sample the reactive thiolate form to varying degrees at physiological pH; however, those in BLK and EGFR/ERBB2/ERBB4 which contain an Asp at the N-cap+3 position adopt the unreactive thiol form. The latter argues in favor of the base-assisted thiol-Michael addition mechanisms as suggested by the quantum mechanical calculations and experimental structure-function studies of EGFR inhibitors. Analysis revealed that the reactive N-cap cysteines are stabilized by hydrogen bond as well as electrostatic interactions, and in their absence a N-cap cysteine is unreactive due to desolvation. To test a corollary of the N-cap hypothesis, we also examined the reactivities of the FP N-cap+2 cysteines in JNK1/JNK2/JNK3 and CASK. Additionally, our simulations predicted the reactive cysteine and lysine locations in all 15 kinases. Our findings offer a systematic understanding of cysteine reactivities in kinases and demonstrate the predictive power and physical insights CpHMD can provide to guide the rational design of targeted covalent inhibitors.

biophysics↗

bioRxiv2021

A method for three-dimensional single-cell chronic electrophysiology from developing brain organoids

Human induced pluripotent stem cell-derived brain organoids have shown great potential for studies of human brain development and neurological disorders. However, quantifying the evolution and development of electrical functions in brain organoids is currently limited by measurement techniques that cannot provide long-term stable three-dimensional (3D) bioelectrical interfaces with brain organoids during development. Here, we report a cyborg brain organoid platform, in which 2D progenitor or stem cell sheets can fold "tissue-like" stretchable mesh nanoelectronics through organogenesis, distributing stretchable electrode arrays across 3D organoids. The tissue-wide integrated stretchable electrode arrays show no interruption to neuronal differentiation, adapt to the volume and morphological changes during organogenesis, and provide long-term stable electrical contacts with neurons within brain organoids during development. The seamless and non-invasive coupling of electrodes to neurons enables a 6-month continuous recording of the same brain organoids and captures the emergence of single-cell action potentials from early-stage brain organoid development.

bioengineering↗

bioRxiv2021

CODEC enables 'single duplex' sequencing

Detecting mutations as rare as a single molecule is crucial in many fields such as cancer diagnostics and aging research but remains challenging. Third generation sequencers can read a double-stranded DNA molecule (a single duplex) in whole to identify true mutations on both strands apart from false mutations on either strand but with limited accuracy and throughput. Although next generation sequencing (NGS) can track dissociated strands with Duplex Sequencing, the need to sequence each strand independently severely diminishes its throughput. Here, we developed a hybrid method called Concatenating Original Duplex for Error Correction (CODEC) that combines the massively parallel nature of NGS with the single-molecule capability of third generation sequencing. CODEC physically links both strands to enable NGS to sequence a single duplex with a single read pair. By comparing CODEC and Duplex Sequencing, we showed that CODEC achieved a similar error rate (10-6) with 100 times fewer reads and conferred single duplex resolution to most major NGS workflows.

bioengineering↗

bioRxiv2021

Measuring mitochondrial electron transfer complexes in previously frozen cardiac tissue from the offspring of sow: A model to assess exercise induced mitochondrial bioenergetics changes

Measuring the mitochondrial electron transfer complex (ETC) profile from previously frozen heart tissue samples from offspring born to an exercised sow provided descriptive data about exercise-induced mitochondrial biochemical changes in heart tissue from the offspring born to the exercised sow. The hypothesis proposed and tested was that a regular maternal exercise of a sow during pregnancy would increase the mitochondrial efficiency of offspring heart bioenergetics. This hypothesis was tested by isolating mitochondria using a mild-isolation procedure to assess mitochondrial ETC and supercomplex profiles. The procedure described here allowed for the processing of previously frozen archived heart tissues and eliminated the necessity of fresh mitochondria preparation for the assessment of mitochondrial ETC complexes, supercomplexes, and ETC complex activity profiles. This protocol describes the optimal ETC protein complex measurement in multiplexed antibody-based immunoblotting and super complex assessment using blue-native gel electrophoresis. SUMMARYPreparation of mitochondria-enriched samples from previously frozen archived solid tissues allowed the investigators to perform both functional and analytical assessments of mitochondria in various experimental modalities. This study demonstrates how to prepare mitochondria-enriched preparations from frozen heart tissue and perform analytical assessments of mitochondria.

biochemistry↗

bioRxiv2021

Single Cell Raman-Deuterium Isotope Probing for Drug Resistance of Elizabethkingia spp.

Nosocomial infection associated with Elizabethkingia spp. is an emerging clinical concern characterized by multi-drug resistance and severe clinical consequences particularly in immunocompromised individuals and infants. Efficient control of this infection demands quick and reliable methods to determine the right drugs for the treatment. In this study, E. meningoseptica ATCC 13253 and four clinical isolates of Elizabethkingia spp. obtained from China, were subjected to single cell Raman spectroscopy analysis coupling with deuterium probing (single cell Raman-DIP). The results demonstrated that single cell Raman-DIP could generate an antimicrobial susceptibility testing result for Elizabethkingia spp. colonies within 4 hours based on their metabolisms variations at single cell level, and the drug resistant spectra of Elizabethkingia spp. determined by single cell Raman-DIP were consistent with the classical MIC method. Meanwhile single cell Raman spectroscopy (single cell RS) was applied to analyze Raman spectra of Elizabethkingia spp., which were revealed that their ratios of nucleic acid/protein were lower than other gram-negative pathogens and isolates from different origins could be distinguished by their Raman fingerprint. The in vitro results confirmed that minocycline and levofloxacin are first-line antimicrobials for Elizabethkingia spp. infection.

microbiology↗

bioRxiv2021

Individual growth models support the quantification of isotope incorporation rate, trophic discrimination and their interactions

Two large but independent bodies of literature exist on two essential components of the dynamics of isotopic incorporation: the isotopic incorporation rate ({lambda}) and the trophic discrimination factor ({Delta}). Understanding the magnitude of these two parameters and the factors that shape them is fundamental to interpret the results of ecological studies that rely on stable isotopes. {lambda} scales allometrically with body mass among species and depends on growth within species. Both are often assumed to be constant and independent of each other but evidence accumulates that might be linked and to vary with growth. We built and analyzed a model (IsoDyn) that connects individual growth and isotopic incorporation of nitrogen into whole body and muscle tissues. The model can assume a variety of individual growth patterns including exponential or asymptotic growths. {lambda} depends on the rate of body mass gains which scales allometrically with body mass. {Delta} is a dynamic response variable that depends partly on the ratio between fluxes of gains and losses and covaries negatively with {lambda}. The model can be parameterized either from existing large databases of animal growth models or directly from experimental results. The model was applied to experimental results on three ectotherms and one endotherm and compared to the results of the simpler and widely used time model. IsoDyn model gave a better fit with relatively little calibration. IsoDyn clarifies and expands the interpretation of isotopic incorporation data.

ecology↗

bioRxiv2021

Duplex-Repair enables highly accurate sequencing, despite DNA damage

Accurate DNA sequencing is crucial in biomedicine. Underlying the most accurate methods is the assumption that a mutation is true if altered bases are present on both strands of the DNA duplex. We now show that this assumption can be wrong. We establish that current methods to prepare DNA for sequencing, via End Repair/dA-Tailing, may substantially resynthesize strands, leading amplifiable lesions or alterations on one strand to become indiscernible from true mutations on both strands. Indeed, we discovered that 7-17% and 32-57% of interior duplex base pairs from cell-free DNA and formalin-fixed tumor biopsies, respectively, could be resynthesized in vitro and potentially introduce false mutations. To address this, we present Duplex-Repair, and show that it limits interior duplex base pair resynthesis by 8- to 464-fold, rescues the impact of induced DNA damage, and affords up to 8.9-fold more accurate duplex sequencing. Our study uncovers a major Achilles heel in sequencing and offers a solution to restore high accuracy.

genomics↗

bioRxiv2021

Design and modular assembly of synthetic intramembrane proteolysis receptors for custom gene regulation in therapeutic cells

Synthetic biology has established powerful tools to precisely control cell function. Engineering these systems to meet clinical requirements has enormous medical implications. Here, we adopted a clinically driven design process to build receptors for the autonomous control of therapeutic cells. We examined the function of key domains involved in regulated intramembrane proteolysis and showed that systematic modular engineering can generate a class of receptors we call SyNthetic Intramembrane Proteolysis Receptors (SNIPRs) that have tunable sensing and transcriptional response abilities. We demonstrate the potential transformative utility of the receptor platform by engineering human primary T cells for multi-antigen recognition and production of dosed, bioactive payloads relevant to the treatment of disease. Our design framework enables the development of fully humanized and customizable transcriptional receptors for the programming of therapeutic cells suitable for clinical translation.

synthetic biology↗

bioRxiv2021

Understanding Microbeads Stacking in Deformable Nano-Sieve for Efficient Plasma Separation and Blood Cell Retrieval

Efficient separation of blood cells and plasma is key for numerous molecular diagnosis and therapeutics applications. Despite various microfluidics-based separation strategies have been developed, a simple, reliable, and multiplexing separation device that can process a large volume of blood is still missing. Here we show a microbead packed deformable microfluidic system that can efficiently separate highly purified plasma from whole blood as well as retrieve blocked blood cells from the device. Combining microscope imaging, optical tomography scanning, and computational fluidic modeling, a highly accurate model is constructed to understand the link between the mechanical properties of the microfluidics, flow rate, and microbeads packing/leaking, which supports and rationalizes the experimental observations. This deformable nano-sieve device establishes a key technology for centrifuge-free diagnosis and treatment of bloodborne diseases and may be important for the design of next-generation deformable microfluidics for separation applications.

bioengineering↗

bioRxiv2021

In situ electro-sequencing in three-dimensional tissues

Pairwise mapping of single-cell gene expression and electrophysiology in intact three-dimensional (3D) tissues is crucial for studying electrogenic organs (e.g., brain and heart)1-5. Here, we introduce in situ electro-sequencing (electro-seq), combining soft bioelectronics with in situ RNA sequencing to stably map millisecond-timescale cellular electrophysiology and simultaneously profile a large number of genes at single-cell level across 3D tissues. We applied in situ electro-seq to 3D human induced pluripotent stem cell-derived cardiomyocyte (hiPSC-CM) patches, precisely registering the CM gene expression with electrophysiology at single-cell level, enabling multimodal in situ analysis. Such multimodal data integration substantially improved the dissection of cell types and the reconstruction of developmental trajectory from spatially heterogeneous tissues. Using machine learning (ML)-based cross-modal analysis, in situ electro-seq identified the gene-to-electrophysiology relationship over the time course of cardiac maturation. Further leveraging such a relationship to train a coupled autoencoder, we demonstrated the prediction of single-cell gene expression profile evolution using long-term electrical measurement from the same cardiac patch or 3D millimeter-scale cardiac organoids. As exemplified by cardiac tissue maturation, in situ electro-seq will be broadly applicable to create spatiotemporal multimodal maps and predictive models in electrogenic organs, allowing discovery of cell types and gene programs responsible for electrophysiological function and dysfunction.

genomics↗