Biology subjects

Liu, A.

Publications and source records attributed to Liu, A..

At least 181 records · Page 10Linked to original sources

bioRxiv2019

Construction of light-activated neurotrophin receptors using the improved Light-Induced Dimerizer (iLID)

Receptor tyrosine kinases (RTKs) play crucial roles in human health, and their misregulation is implicated in disorders ranging from neurodegenerative disorders to cancers. The highly conserved mechanism of activation of RTKs makes them especially appealing candidates for control via optogenetic dimerization methods. This work offers a strategy for using the improved Light-Induced Dimer (iLID) system with a constructed tandem-dimer of its binding partner nano (tdnano) to build light-activatable versions of RTKs. In the absence of light, the iLID-RTK is cytosolic, monomeric and inactive. Under blue light, the iLID + tdnano system recruits two copies of iLID-RTK to tdnano, dimerizing and activating the RTK. We demonstrate that iLID opto-iTrkA and opto-iTrkB are capable of reproducing downstream ERK and Akt signaling only in the presence of tdnano. We further show with our opto-iTrkA that the system is compatible with multi-day and population-level activation of TrkA in PC12 cells. By leveraging genetic targeting of tdnano, we achieve RTK activation at a specific subcellular location even with whole-cell illumination, allowing us to confidently probe the impact of context on signaling outcome.

synthetic biology↗

bioRxiv2019

Comprehensive molecular characterization of pediatric treatment-induced high-grade glioma: A distinct entity despite disparate etiologies with defining molecular characteristics and potential therapeutic targets

Treatment-induced high-grade gliomas (TIHGGs) are an incurable late complication of cranial radiation therapy or combined radiation/chemotherapy used to treat pediatric cancer. We assembled a cohort of 33 TIHGGs from multiple institutions. The primary antecedent malignancies were medulloblastoma, acute lymphoblastic leukemia, astrocytoma, and ependymoma. We performed methylation profiling, RNA-seq, and genomic sequencing (whole-genome or whole-exome) on TIHGG samples. Methylation profiling revealed that TIHGGs cluster primarily with the pediatric receptor tyrosine kinase I subtype (26/31 samples). Common TIHGG copy-number alterations include Chromosome (Ch.) 1p loss/1q gain, Ch. 4 loss, Ch. 6q loss, and Ch. 13 and Ch. 14 loss; focal alterations include PDGFRA and CDK4 gain and loss of CDKN2A and BCOR. Relative to de novo pediatric high-grade glioma (pHGG), BCOR loss (p=0.004) and CDKN2A loss (p=0.005) were significantly increased. Transcriptomic analysis identified two distinct TIHGG subgroups, one with a lesser mutation burden (0.12 mut/Mb), Ch. 1p loss/1q gain (5/6 samples), and stem cell characteristics, and one with a greater mutation burden (1.08 mut/Mb, p<0.0002), depletion of DNA repair pathways, and inflammatory characteristics. We observed increased chromothripsis in TIHGG versus pHGG (67% vs. 31%, p=0.036), which was associated with extrachromosomal circular DNA-mediated amplification of PDGFRA and CDK4. In vitro drug screening in one primary, patient-derived TIHGG cell line from each expression subgroup identified microtubule inhibitors/stabilizers, DNA-damaging agents, MEK inhibition, and, in the inflammatory subgroup, proteasome inhibitors as potentially effective therapies. This study provides a comprehensive molecular profile of TIHGG, including mechanistic insights to TIHGG oncogenesis, and identifies potentially effective therapeutic modalities for further investigation.

cancer biology↗

bioRxiv2019

Genome-wide quantitative trait loci mapping on Verticilliumw

Cotton Verticillium wilt (VW) is a devastating disease seriously affecting fiber yield and quality, and the most effective and economical prevention measure at present is selection and extension of Gossypium varieties harboring high resistant VW. However, multiple attempts to improve the VW resistance of the most widely cultivated Upland cotton have brought in little significant progress, and it seems necessary and urgent to develop Chromosome segment substitution lines (CSSLs) for merging the superior genes related with high yield and wide adaptation from G. hirsutum and VW resistance and excellent fiber quality from G. barbadense. In this study, 300 CSSLs were chosen from the developed BC5F3:5 CSSLs constructed by G. hirsutum CCRI36 and G. barbadense Hai1 to conduct quantitative trait locus (QTL) mapping on VW resistance, and a total of 53 QTLs relevant to VW disease index (DI) were identified together with the phenotypic data of 2 years investigations in two fields with two replications per year. All the QTLs were distributed on 20 chromosomes with phenotypic variation of 3.74-11.89%, of which 29 stable ones were consistent in at least two environments. Based on Meta-analysis on the 53 QTLs, 43 novel ones were identified, while 10 ones consistent to previously identified QTLs. Meanwhile, 32 QTL hotspot regions were detected, including 15 ones were novel. This study concentrates on QTL identification and screening hotspot region related with VW in the 300 CSSLs, which lay a solid platform not only for revealing the genetic and molecular mechanisms of VW resistance, but also for further fine mapping, gene cloning and molecular designing in breeding program for resistant cotton varieties.

plant biology↗

bioRxiv2019

Functional interactions between post-translationally modified amino acids of methyl-coenzyme M reductase in Methanosarcina acetivorans

Methyl-coenzyme M reductase (MCR) plays an important role in mediating global levels of methane by catalyzing a reversible reaction that leads to the production or consumption of this potent greenhouse gas in methanogenic and methanotrophic archaea. In methanogenic archaea, the alpha subunit of MCR (McrA) typically contains four to six post-translationally modified amino acids near the active site. Recent studies have identified genes that install two of these modifications (thioglycine and 5-(S)-methylarginine), yet little is known about the installation and function of the remaining post-translationally modified residues. Here, we provide in vivo evidence that a dedicated SAM-dependent methyltransferase encoded by a gene we designated mcmA is responsible for formation of S-methylcysteine in Methanosarcina acetivorans McrA. Phenotypic analysis of mutants incapable of cysteine methylation suggests that the S-methylcysteine residue plays an important role in adaptation to a mesophilic lifestyle. To examine the interactions between the S-methylcysteine residue and the previously characterized thioglycine, 5-(S)-methylarginine modifications, we generated M. acetivorans mutants lacking the three known modification genes in all possible combinations. Phenotypic analyses revealed complex, physiologically relevant interactions between the modified residues, which alter the thermal stability of MCR in a combinatorial fashion that is not readily predictable from the phenotypes of single mutants. Surprisingly, high-resolution crystal structures of the various unmodified MCRs were indistinguishable from the fully modified enzyme, suggesting that interactions between the post-translationally modified residues do not exert a major influence on the physical structure of the enzyme, but rather serve to fine-tune the activity and efficiency of MCR.

microbiology↗

bioRxiv2019

The place-cell representation of volumetric space in rats

Place cells are spatially modulated neurons found in the hippocampus that underlie spatial memory and navigation: how these neurons represent 3D space is crucial for a full understanding of spatial cognition. We wirelessly recorded place cells in rats as they explored a cubic lattice climbing frame which could be aligned or tilted with respect to gravity. Place cells represented the entire volume of the mazes: their activity tended to be aligned with the maze axes, and when it was more difficult for the animals to move vertically the cells represented space less accurately and less stably. These results demonstrate that even surface-dwelling animals represent 3D space and suggests there is a fundamental relationship between environment structure, gravity, movement and spatial memory.

animal behavior and cognition↗

bioRxiv2019

Use of solvent extraction-indigenous microbial degradation technology to repair soils contaminated by high concentrations of mechanical oil

Remediation of soils contaminated by mechanical oil has become a difficult problem worldwide. In this study, soil contaminated by mechanical oil was repaired by domestication and inoculation of microorganisms collected from the contaminated site, and soil quality and plant growth indexes were evaluated to verify the efficacy of our solvent extraction-indigenous microbial degradation technology. Solvent extraction of the contaminated soil removed 97.03% mechanical oil, increased soil water-holding capacity by 68.20%, and improved root activity and soluble sugar content of alfalfa plants. However, solvent extraction depleted 82.98% of the soil organic matter. Screening and domestication of strain TB-6 from the contaminated site revealed that it is an Enterobacter with obvious degradation effects on petroleum hydrocarbons (C15-C28). After the solvent-extracted soil was inoculated with TB-6 for 30 days, the soil structure became loose; degradation rate of residual mechanical oil was 19.45%; and soil organic matter content, water-holding capacity, alfalfa root activity, and soluble sugar content increased by 35.00%, 9.01%, 44.60%, and 7.03%, respectively. These results indicate that TB-6 has a good repairing effect on the soil after solvent extraction, and the combined technology efficiently removed mechanical oil from the soil and reduced the damage caused by the solvent.

plant biology↗

bioRxiv2019

The calcium channel subunit α2δ-3 organizes synapses via a novel activity-dependent, autocrine BMP signaling pathway

Synapses are highly specialized for neurotransmitter signaling, yet activity-dependent growth factor release also plays critical roles at synapses. While efficient neurotransmitter signaling is known to rely on precise apposition of release sites and neurotransmitter receptors, molecular mechanisms enabling high-fidelity growth factor signaling within the synaptic microenvironment remain obscure. Here we show that the auxiliary calcium channel subunit 2{delta}-3 promotes the function of a novel activity-dependent autocrine BMP signaling pathway at the Drosophila NMJ. 2{delta} proteins have conserved synaptogenic activity, although how they execute this function has remained elusive. We find that 2{delta}-3 provides an extracellular scaffold for autocrine BMP signaling, suggesting a new mechanistic framework for understanding 2{delta}s conserved role in synapse organization. We further establish a transcriptional requirement for activity-dependent, autocrine BMP signaling in determining synapse density, structure, and function. We propose that activity-dependent, autocrine signals provide neurons with continuous feedback on their activity state and are thus well poised to modulate synapse structure and function.

neuroscience↗

bioRxiv2019

Predicting the time of entry of nanoparticles in cellular membranes

The understanding of the molecular interactions between nanoparticles (NPs) and biological systems is crucial for the systematic advance in many high-impact fields, such as biomedicine and nanotechnology. A key aspect to understand and predict the biological effect of NPs, e.g., cytotoxicity, bioavailability, is their interaction with membranes, specifically the mechanisms that regulate passive transport, which controls the permeation of most small molecules. In this paper, we introduce a new streamlined theoretical model that is able to predict the interactions between NPs and biological membranes (average permeation time), by separating the NPs characteristics (i.e., size, shape, solubility) from the membrane properties (density distribution). This factorization allows the inclusion of data obtained from both experimental and computational sources, as well as rapid estimation of large sets of permutation in new membranes. We validated our approach, by comparing our prediction for the interactions between different carbonaceous NPs and lipid bilayers with both experiments of measuring graphene quantum dot leakage encapsulated in lipid vesicles and time of entry from MD simulations.

biophysics↗

bioRxiv2019

NgAgo-enhanced homologous recombination in E. coli is mediated by DNA endonuclease activity

Prokaryotic Argonautes (pAgos) have been proposed as more flexible tools for gene-editing as they do not require sequence motifs adjacent to their targets for function, unlike popular CRISPR/Cas systems. One promising pAgo candidate, from the halophilic archaeon Natronobacterium gregoryi (NgAgo), however, has been the subject of intense debate regarding its potential in eukaryotic systems. Here, we revisit this enzyme and characterize its function in prokaryotes. NgAgo expresses poorly in non-halophilic hosts with the majority of protein being insoluble and inactive even after refolding. However, we report that the soluble fraction does indeed act as a DNA endonuclease. Structural homology modelling revealed that NgAgo shares canonical domains with other catalytically active pAgos but also contains a previously unrecognized single-stranded DNA binding domain (repA). Both repA and the canonical PIWI domains participate in DNA cleavage activities of NgAgo. We showed that NgAgo can be programmed with guides to cleave specific DNA in vitro and in E.coli. We also found that these endonuclease activities are essential for enhanced NgAgo-guided homologous recombination, or gene-editing, in E. coli. Collectively, our results demonstrate the potential of NgAgo for gene-editing and reconciles seemingly contradictory reports.

molecular biology↗

bioRxiv2019

Statistical learning shapes neural sequence representations

Sensory input arrives in continuous sequences that humans experience as units, e.g., words and events. The brains ability to discover extrinsic regularities is called statistical learning. Structure can be represented at multiple levels, including transitional probabilities, ordinal position, and identity of units. To investigate sequence encoding in cortex and hippocampus, we recorded from intracranial electrodes in human subjects as they were exposed to auditory and visual sequences containing temporal regularities. We find neural tracking of regularities within minutes, with characteristic profiles across brain areas. Early processing tracked lower-level features (e.g., syllables) and learned units (e.g., words); while later processing tracked only learned units. Learning rapidly shaped neural representations, with a gradient of complexity from early brain areas encoding transitional probability, to associative regions and hippocampus encoding ordinal position and identity of units. These findings indicate the existence of multiple, parallel computational systems for sequence learning across hierarchically organized cortico-hippocampal circuits.

neuroscience↗

bioRxiv2019

Mouse navigation strategies for odor source localization

Navigating an odor landscape is a critical behavior for the survival of many species, including mice. One ethologically relevant mouse behavior is locating food using odor concentration gradients. To model this behavior, we use a naturalistic open field odor-based spot-finding task, examining navigation strategies as mice search for and approach an odor source. Mice were trained to navigate to odor sources paired with food reward. We detected behavioral changes consistent with localization of the odor source when mice were [~]10cm away from the source. These behaviors included both orientation towards the source and increased exploration time. We found that the amplitude of casting, lateral back and forth head movement, increased exponentially with proximity to the source. We then created concentration-dependent models to simulate mouse behavior, which provided evidence for a serial-sniffing strategy (sampling concentration, moving in space, then sampling again) and a stereo-sniffing strategy (inter-nostril comparison of concentration in a single sniff). Together, these results elucidate key components of behavioral strategies for odor-based navigation. SUMMARY STATEMENTUse of a naturalistic odor-source localizing task uncovers key strategies underlying successful mouse navigation. Concentration-dependent models successfully recapitulate mouse behavior and reveal important behavioral components.

neuroscience↗

bioRxiv2019

Complete genome sequence of Bacillus velezensis JT3-1, a microbial germicide isolated from yak feces

Bacillus velezensis JT3-1 is a probiotic strain isolated from feces of the domestic yak (Bos grunniens) in the Gansu province of China. It has strong antagonistic activity against Listeria monocytogenes, Staphylococcus aureus, Escherichia coli, Salmonella Typhimurium, Mannheimia haemolytica, Staphylococcus hominis, Clostridium perfringens, and Mycoplasma bovis. These properties have made the JT3-1 strain the focus of commercial interest. In this study, we describe the complete genome sequence of JT3-1, with a genome size of 3,929,799 bp, 3761 encoded genes and an average GC content of 46.50%. Whole genome sequencing of Bacillus velezensis JT3-1 will lay a good foundation for elucidation of the mechanisms of its antimicrobial activity, and for its future application.

genomics↗

bioRxiv2019

From expression footprints to causal pathways: contextualizing large signaling networks with CARNIVAL

While gene expression profiling is commonly used to gain an overview of cellular processes, the identification of upstream processes that drive expression changes remains a challenge. To address this issue, we introduce CARNIVAL, a causal network building tool which derives network architectures from gene expression footprints. CARNIVAL (CAusal Reasoning pipeline for Network identification using Integer VALue programming) integrates different sources of prior knowledge, including signed and directed protein-protein interactions, transcription factor targets, and pathway signatures. The use of prior knowledge in CARNIVAL allows the capture of a broad set of upstream cellular processes and regulators, which in turn delivered results with higher accuracy when benchmarked against related tools. Implementation as an integer linear programming (ILP) problem also guarantees efficient computation. As a case study, we applied CARNIVAL to contextualize signaling networks from gene expression data in IgA nephropathy, a chronic kidney disease. CARNIVAL identified specific signaling pathways and associated mediators with important bioactivity in IgAN including WNT and TGF-{beta}, that we subsequently validated experimentally. In summary, we demonstrated how CARNIVAL generates hypotheses on potential upstream alterations that propagate through signaling networks, providing valuable insights into disease processes. CARNIVAL, freely available as an R-package at https://saezlab.github.io/CARNIVAL, can be applied to any field of biomedical research to contextualize signaling networks and identify the causal relationships between downstream gene expression and upstream regulators.

systems biology↗

bioRxiv2018

Genome-wide association study of diabetic kidney disease highlights biology involved in renal basement membrane collagen

Diabetic kidney disease (DKD) is a heritable but poorly understood complication of diabetes. To identify genetic variants predisposing to DKD, we performed genome-wide association analyses in 19,406 individuals with type 1 diabetes (T1D) using a spectrum of DKD definitions basedon albuminuria and renal function. We identified 16 genome-wide significant loci. The variant with the strongest association (rs55703767) is a common missense mutation in the collagen type IV alpha 3 chain (COL4A3) gene, which encodes a major structural component of the glomerular basement membrane (GBM) implicated in heritable nephropathies. The rs55703767 minor allele (Asp326Tyr) is protective against several definitions of DKD, including albuminuria and end-stage renal disease. Three other loci are in or near genes with known or suggestive involvement in DKD (BMP7) or renal biology (COLEC11 and DDR1). The 16 DKD-associated loci provide novel insights into the pathogenesis of DKD, identifying potential biological targets for prevention and treatment.

genetics↗

bioRxiv2018

The relative influence of niche versus neutral processes on Ediacaran communities

A fundamental question in community ecology is the relative influence of niche versus neutral processes in determining ecosystem dynamics. The extent to which these processes structured early animal communities is yet to be explored. Here we use spatial point process analyses (SPPA) to determine the influence of niche versus neutral processes on early total-group metazoan paleocommunities from the Ediacaran Period [~]565 million years in age. Preservation of these sessile organisms in large in-situ populations on exposed bedding planes enables inference of the most likely underlying processes governing their spatial distributions by SPPA. We conducted comprehensive spatial mapping of six of the largest Ediacaran paleocommunities in Newfoundland, Canada and Charnwood Forest, UK using LiDAR, photogrammetry and a laser-line probe. For each paleocommunity we determined the best-fit spatial model for each univariate and bivariate species distribution, comparing four sets of spatial models (complete spatial randomness, dispersal, habitat, and combined dispersal with habitat) using goodness-of-fit tests. Random and dispersal models are considered neutral processes while habitat and combined models are considered niche processes. We find the dynamics of these paleocommunities to be dominated by neutral processes, with limited influence from niche processes. Our findings are consistent with community model predictions of when neutral dynamics dominate, but are in stark contrast to the niche-dominated communities of the modern marine realm. Thus, while the underlying processes determining metazoan community assembly appear to have been in place since the appearance of the first macroscopic, complex animals, the dynamics of these early metazoan communities were fundamentally different to those of extant communities.\n\nSignificance statementThe extent to which habitat and dispersal processes structure the earliest animal communities found during the Ediacaran Period [~]565 million years ago, is unknown. In this study we analyse six of the largest and most diverse fossil assemblages from Newfoundland, Canada and Charnwood Forest, UK, using spatial point processes analyses to determine the relative influence of habitat processes (niche) and dispersal processes (neutral) on the spatial distribution of taxa. The vast majority of Ediacaran taxon distributions were controlled by neutral processes, in striking contrast to niche-dominated modern marine ecosystems, but consistent with model predictions of when neutral dynamics dominate communities. Thus the underlying processes determining metazoan community assembly have been in place since the appearance of the first macroscopic, complex animals.

ecology↗

bioRxiv2018

SummaryAUC: a tool for evaluating the performance of polygenic risk prediction models in validation datasets with only summary level statistics

MotivationPolygenic risk score (PRS) methods based on genome-wide association studies (GWAS) have a potential for predicting the risk of developing complex diseases and are expected to become more accurate with larger training data sets and innovative statistical methods. The area under the ROC curve (AUC) is often used to evaluate the performance of PRSs, which requires individual genotypic and phenotypic data in an independent GWAS validation dataset. We are motivated to develop methods for approximating AUC of PRSs based on the summary level data of the validation dataset, which will greatly facilitate the development of PRS models for complex diseases.\n\nResultsWe develop statistical methods and an R package SummaryAUC for approximating the AUC and its variance of a PRS when only the summary level data of the validation dataset are available. SummaryAUC can be applied to PRSs with SNPs either genotyped or imputed in the validation dataset. We examined the performance of SummaryAUC using a large-scale GWAS of schizophrenia. SummaryAUC provides accurate approximations to AUCs and their variances. The bias of AUC is typically less than 0.5% in most analyses. SummaryAUC cannot be applied to PRSs that use all SNPs in the genome because it is computationally prohibitive.\n\nAvailabilityhttps://github.com/lsncibb/SummaryAUC\n\nContactJianxin.Shi@nih.gov

bioinformatics↗

bioRxiv2018

The osteogenic potential of the neural crest lineage may contribute to craniosynostosis

The craniofacial skeleton is formed from the neural crest and mesodermal lineages, both of which contribute mesenchymal precursors during formation of the skull bones. The large majority of cranial sutures also include a proportion of neural crest derived mesenchyme. While some studies have addressed the relative healing abilities of neural crest and mesodermal bone, relatively little attention has been paid to differences in intrinsic osteogenic potential. Here we use mouse models to compare neural crest osteoblasts (from frontal bones or dura mater) to mesodermal osteoblasts (from parietal bones). Using in vitro culture approaches we find that neural crest-derived osteoblasts readily generate bony nodules while mesodermal osteoblasts do so less efficiently. Furthermore, we find that co-culture of neural crest-derived osteoblasts with mesodermal osteoblasts is sufficient to nucleate ossification centres. All together, this suggests that the intrinsic osteogenic abilities of neural crest-derived mesenchyme may be a primary driver behind craniosynostosis.

developmental biology↗

bioRxiv2018

Hippocampal signature of associative memory measured by chronic ambulatory intracranial EEG

Some patients with medically refractory focal epilepsy are chronically implanted with a brain-responsive neurostimulation device (the RNS(R) System), permitting neurophysiological measurements at millisecond resolution. This clinical device can be adapted to measure hippocampal dynamics time-locked to cognitive tasks. We illustrate the technique with a proof of concept in three patients previously implanted with the RNS System as they engage in an associative memory task, measured months apart. Hippocampal activity measured in successful encoding in RNS System patients mirrors that in surgical patients during intracranial electroencephalography (iEEG), suggesting that chronic iEEG allows sensitive measurements of hippocampal physiology over prolonged timescales.

neuroscience↗