Biology subjects

Chen, G.

Publications and source records attributed to Chen, G..

At least 289 records · Page 16Linked to original sources

bioRxiv2020

Association of CD44-/CD24- Breast Cancer Cells with Late Stage Tumor Recurrence

Tumor metastasis remains the main cause of breast cancer-related deaths, especially the later breast cancer distant metastasis. This study assessed CD44-/CD24- tumor cells in 576 tissue specimens for associations with clinicopathological features and metastasis and then investigated the underlying molecular events. The data showed that level of CD44-/CD24- cells was associated with later postoperative distant tumor metastasis. Furthermore, CD44-/CD24- triple negative cells could spontaneously convert into CD44+/CD24- cancer stem cells (CSCs) with properties similar to CD44+/CD24- CSCs from parental MDA-MB-231 cells in terms of gene expression, tumor cell xenograft formation, and lung metastasis in vitro and in vivo. Single-cell RNA sequencing identified RHBDL2 as a regulator that enhanced spontaneous CD44+/CD24- CSC conversion, whereas knockdown of RHBDL2 expression inhibited YAP/NF-{kappa}B signaling and blocked spontaneous CD44-/CD24- cell conversion to CSCs. These data suggested that the level of CD44-/CD24- tumor cells could predict breast cancer prognosis, metastasis, and response to adjuvant therapy.

physiology↗

bioRxiv2020

New insight into bacterial iron competition: A-to-I editing in ferric enterobactin uptake

Adenosine-to-inosine (A-to-I) RNA editing, which is catalyzed by the adenosine deaminase RNA-specific family of enzymes, is a frequent post-transcriptional modification in metazoans. Research on A-to-I editing in bacteria is limited, and the importance is underestimated. In this study, we show that bacteria may use A-to-I editing as an alternative strategy to promote uptake of metabolic iron. The T408A editing event of xfeA in Xanthomonas oryzae pv. oryzicola (Xoc) senses extracytoplasmic iron and changes the hydrogen bonding network of ligand channel domains. The frequency of A-to-I RNA editing during iron-deficient conditions increased by 76.87%, which facilitated the passage of iron through the XfeA outer membrane channel. When bacteria were subjected to high iron concentrations, the percentage of A-to-I editing in xfeA decreased, which reduced iron transport via XfeA. Furthermore, A-to-I RNA editing increased expression of multiple genes in the chemotaxis pathway, including methyl-accepting chemotaxis proteins (MCPs) that sense concentrations of exogenous ferric enterobactin (Fe-Ent) at the cytoplasmic membrane. A-to-I RNA editing helps Xoc move towards an iron-rich environment and supports our contention that editing in xfeA facilitates entry of a ferric siderophore. Overall, our results reveal a new signaling mechanism that bacteria use to facilitate iron uptake and improve their competitiveness.

microbiology↗

bioRxiv2020

Furfural residues as soil amendments for long-term seed corn production: effects on community composition and diversity of rhizosphere microbiota

Furfural residues s influence on maize rhizosphere microbiota subjected to long-term monocropping is poorly understood. In this study, high-throughput sequencing was employed to investigate the rhizosphere microbiota composition and its variation under long-term field monocropping for maize seed production. The results showed that unplanted, chemical fertilizer (only) treated soil, and furfural residue treated soil as well as seasonal soil batches recruited distinct rhizosphere microbiota. Microbial community diversity increased, and many operational taxonomic units (OTUs) were induced in the rhizosphere soil. Maize plants grown under field conditions were preferentially colonized by Ascomycota and Zygomycota in the unplanted soil, Ascomycota and Mortierellomycota in chemical fertilizer-treated soil, and Ascomycota and Basidiomycota in frufural residue-treated soil. Some potential pathogens, such as Alternaria, Trichocladium, Bipolaris, Solicoccozyma and Cladosporium were not detected, while beneficial microbes, such as Penicillium, Schizothecium and Rhizophlyctis were present. Acidobacteria and Bacteroidetes increased, Actinobacteria and Firmicutes decreased in furfural residue treated soil. The core bacteria detected after long-term cropping were MND1, RB41, UTCFX1, Nitrospira, Cellvibrio, Adhaeribacter etc. The relative abundances of Clostridium, Pseudarthrobacter and Roseiflexus decreased; Haliangium, Nitrospira and MND1 increased; Pirellula, Ellin6067 and Luteimonas reduced in different seasonal soil batches. Amendment with furfural residue promoted the development of beneficial microbes and decreased the abundance of pathogens after different continuous cropping years. The amendment increased cellulose-degrading and complex carbon-decomposing microbes, decreased the number of reductive substance-decomposing microbes, which led to microbial community structure shift over time. Amendment with furfural residue improved the rhizosphere environment, which will in turn improve plant growth. Furfural residue can be used as a soil amendment to control soil-borne diseases and to establish beneficial soil microbes. ImportanceContinuous monoculture of maize seed production led to reduction in plant nutrient absorption, destruction of soil structure, high incidence of soil-borne plant diseases, and decrease in crop yield. Traditional organic fertilizers are either unavailable or unbalanced for intensive cultivation. Furfural residues are acidic and carbon-rich making it a promising organic alternative to chemical fertilizers to improve seed corn production. Amendment with furfural residue may promote the microbiota in rhizosphere soil. In addition, the amendment may increase cellulose-degrading and complex carbon-decomposing microbes, which led to a shift in microbial community structure over time. Amendment with furfural residue may improve the rhizosphere environment, which will in turn improve plant growth, control soil-borne diseases and establish beneficial soil microbes.

pathology↗

bioRxiv2020

Ribonucleotide reductase, a novel target for gonorrhea

Antibiotic resistant Neisseria gonorrhoeae (Ng) are an emerging public health threat due to increasing numbers of multidrug resistant (MDR) organisms. We identified two novel orally active inhibitors, PTC-847 and PTC-672, that exhibit a narrow spectrum of activity against Ng including MDR isolates. By selecting organisms resistant to the novel inhibitors and sequencing their genomes, we identified a new therapeutic target, the class Ia ribonucleotide reductase (RNR). Activity studies and negative stain electron microscopy of the Ng Ia RNR suggest that these inhibitors potentiate conversion of its active 2{beta}2 state to an inactive 4{beta}4 similar to states first identified with the Escherichia coli (Ec) Ia RNR. Resistance mutations in Ng map to the N-terminal, ATP cone domain of its subunit and disrupt the interaction with the {beta} subunit required to form the specific quaternary inhibited state. Oral administration of PTC-672 reduces Ng infection in a mouse model and may have therapeutic potential for treatment of Ng that is resistant to current drugs.

microbiology↗

bioRxiv2020

Cloning and Functional characterization of seed-specific LEC1A promoter from peanut (Arachis hypogaea L.)

LEAFY COTYLEDON1 (LEC1) is a HAP3 subunit of CCAAT-binding transcription factor, which controls several aspects of embryo and postembryo development, including embryo morphogenesis, storage reserve accumulation and skotomorphogenesis. Herein, using the method of chromosomal walking, a 2707bp upstream sequence from the ATG initiation codon site of AhLEC1A which is a homolog of Arabidopsis LEC1 was isolated in peanut. Its transcriptional start site confirmed by 5 RACE was located at 82 nt from 5 upstream of ATG. The bioinformatics analysis revealed that there existed many tissue-specific elements and light responsive motifs in its promoter. To identify the functional region of the AhLEC1A promoter, seven plant expression vectors expressing the GUS ({beta}-glucuronidase) gene, driven by 5 terminal series deleted fragments of AhLEC1A promoter, were constructed and transformed into Arabidopsis. Results of GUS histochemical staining showed that the regulatory region containing 82bp of 5 UTR and 2228bp promoter could facilitate GUS to express preferentially in the embryos at different development periods of Arabidopsis. Taken together, it was inferred that the expression of AhLEC1A during seed development of peanut might be controlled positively by several seed-specific regulatory elements, as well as negatively by some other regulatory elements inhibiting its expression in other organs. Moreover, the GUS expression pattern of transgenic seedlings in darkness and in light was relevant to the light-responsive elements scattered in AhLEC1A promoter segment, implying that these light-responsive elements harbored in the AhLEC1A promoter regulate skotomorphogenesis of peanut seeds, and AhLEC1A expression was inhibited after the germinated seedlings were transferred from darkness to light.

molecular biology↗

bioRxiv2020

ACE2-Targeting Monoclonal Antibody As A "Pan" Coronavirus Blocker In Vitro and In A Mouse Model

The evolution of coronaviruses, such as SARS-CoV-2, makes broad-spectrum coronavirus preventional or therapeutical strategies highly sought after. Here we report a human angiotensin-converting enzyme 2 (ACE2)-targeting monoclonal antibody, 3E8, blocked the S1-subunits and pseudo-typed virus constructs from multiple coronaviruses including SARS-CoV-2, SARS-CoV-2 mutant variants (SARS-CoV-2-D614G, B.1.1.7, B.1.351, B.1.617.1 and P.1), SARS-CoV and HCoV-NL63, without markedly affecting the physiological activities of ACE2 or causing severe toxicity in ACE2 "knock-in" mice. 3E8 also blocked live SARS-CoV-2 infection in vitro and in a prophylactic mouse model of COVID-19. Cryo-EM and "alanine walk" studies revealed the key binding residues on ACE2 interacting with the CDR3 domain of 3E8 heavy chain. Although full evaluation of safety in non-human primates is necessary before clinical development of 3E8, we provided a potentially potent and "broad-spectrum" management strategy against all coronaviruses that utilize ACE2 as entry receptors and disclosed an anti-coronavirus epitope on human ACE2.

immunology↗

bioRxiv2020

Activated Expression of Master Regulator MYB31 and of Capsaicinoid Biosynthesis Genes Results in Capsaicinoid Biosynthesis and Accumulation in the Pericarp of the Extremely Pungent Capsicum chinense

Capsaicinoids confer pungency in Capsicum fruits, and the capsaicinoid content varies greatly among the five domesticated Capsicum species. Although it is generally recognized that capsaicinoid biosynthesis occurs exclusively in the placenta, few studies have focused on capsaicinoid biosynthesis gene (CBG) expression in the pericarp. Therefore, the transcriptional regulation mechanisms of capsaicinoid biosynthesis in the pericarp remain elusive. Here, the capsaicinoid contents of 32 accessions from five domesticated Capsicum species were analyzed. The results showed that the capsaicinoid contents of C. chinense accessions are significantly higher than those of the other four Capsicum species due to the increased accumulation of capsaicinoids, especially in the pericarp. Compared to that in accessions with low pericarp capsaicinoid content, the expression of the master regulator MYB31 is significantly upregulated in the pericarp in C. chinense accessions, which leads to high levels of CBG expression. Moreover, in fruits of the extremely pungent Trinidad Moruga Scorpion (C. chinense) and low-pungency 59 inbred line (C. annuum) at different developmental stages, the capsaicinoid accumulation patterns were consistent with the MYB31 and CBG expression levels in the pericarp. Taken together, our results provide novel insights into the molecular mechanism arising from the expression of a master regulator in the pericarp that results in exceedingly hot peppers. The genetic resources identified in this study could be used as genetic resources for the genetic improvement of pepper pungency.

plant biology↗

bioRxiv2020

Beyond linearity in neuroimaging: Capturing nonlinear relationships with application to longitudinal studies

The ubiquitous adoption of linearity for quantitative explanatory variables in statistical modeling is likely attributable to its advantages of straightforward interpretation and computational feasibility. The linearity assumption may be a reasonable approximation especially when the variable is confined within a narrow range, but it can be problematic when the variables effect is non-monotonic or complex. Furthermore, visualization and model assessment of a linear fit are usually omitted because of challenges at the whole brain level in neuroimaging. By adopting a principle of learning from the data in the presence of uncertainty to resolve the problematic aspects of conventional polynomial fitting, we introduce a flexible and adaptive approach of multilevel smoothing splines (MSS) to capture any nonlinearity of a quantitative explanatory variable for population-level neuroimaging data analysis. With no prior knowledge regarding the underlying relationship other than a parsimonious assumption about the extent of smoothness (e.g., no sharp corners), we express the unknown relationship with a sufficient number of smoothing splines and use the data to adaptively determine the specifics of the nonlinearity. In addition to introducing the theoretical framework of MSS as an efficient approach with a counterbalance between flexibility and stability, we strive to (a) lay out the specific schemes for population-level nonlinear analyses that may involve task (e.g., contrasting conditions) and subject-grouping (e.g., patients vs controls) factors; (b) provide modeling accommodations to adaptively reveal, estimate and compare any nonlinear effects of an explanatory variable across the brain, or to more accurately account for the effects (including nonlinear effects) of a quantitative confound; (c) offer the associated program 3dMSS to the neuroimaging community for whole-brain voxel-wise analysis as part of the AFNI suite; and (d) demonstrate the modeling approach and visualization processes with a longitudinal dataset of structural MRI scans.

neuroscience↗

bioRxiv2020

GWAS in Africans identifies novel lipids loci and demonstrates heterogenous association within Africa

BackgroundSerum lipids are biomarkers of cardiometabolic disease risk, and understanding the genomic factors contributing to their distribution has been of considerable interest. Large genome-wide association studies (GWAS) have identified over 150 lipids loci; however, GWAS of Africans (AF) are rare. Given the genomic diversity among those of African ancestry, it is expected that a GWAS in Africans could identify novel lipids loci. While GWAS have been conducted in African Americans (AA), such studies are not proxies for studies in continental Africans due to the drastically different environmental context. Therefore, we conducted a GWAS of 4,317 Africans enrolled in the Africa America Diabetes Mellitus study. Methods and ResultsWe used linear mixed models of the inverse normal transformations of covariate-djusted residuals of high-density lipoprotein cholesterol (HDLC), low-density lipoprotein cholesterol (LDLC), total cholesterol (CHOL), triglycerides (TG), and TG/HDLC, with adjustment for three principal components and the random effect of relatedness. Replication of loci associated at p<5x10-8 was attempted in 9,542 AA. Meta-analysis of AF and AA was also conducted. We also conducted analyses that excluded the relatively small number of East Africans. We evaluated known lipids loci in Africans using both exact replication and "local" replication, which accounts for interethnic differences in linkage disequilibrium. In our main analysis, we identified 23 novel associations in Africans. Of the 14 of these that were able to be tested in AA, two associations replicated (GPNMB-TG and ENPP1-TG). Two additional novel loci were discovered upon meta-analysis with AA (rs138282551-TG and TLL2-CHOL). Analyses considering only those with predominantly West African ancestry (Nigeria, Ghana, and AA) yielded new insights: ORC5-LDLC and chr20:60973327-CHOL. ConclusionsWhile functional work will be useful to confirm and understand the biological mechanisms underlying these associations, this study demonstrates the utility of conducting large-scale genomic analyses in Africans for discovering novel loci. The functional significance of some of these loci in relation to lipids remains to be elucidated, yet some have known connections to lipids pathways. For instance, rs147706369 (intronic, TLL2) alters a regulatory motif for sterol regulatory element-binding proteins (SREBPs), which are a family of transcription factors that control the expression of a range of enzymes involved in cholesterol, fatty acid, and triglyceride synthesis.

genomics↗

bioRxiv2020

Remdesivir Metabolite GS-441524 Efficiently Inhibits SARS-CoV-2 Infection in Mouse Model

The outbreak of coronavirus disease 2019 (COVID-19) rapidly spreads across worldwide and becomes a global pandemic. Remdesivir is the only COVID-19 treatment approved by U.S. Food and Drug Administration (FDA); however, its effectiveness is still under questioning as raised by the results of a large WHO Solidarity Trial. Herein, we report that the parent nucleotide of remdesivir, GS-441524, potently inhibits the replication of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Vero E6 and other cells. It exhibits good plasma distribution and longer half-life (t1/2=4.8h) in rat PK study. GS-441524 is highly efficacious against SARS-CoV-2 in AAV-hACE2 transduced mice and murine hepatitis virus (MHV) in mice, reducing the viral titers in CoV-attacked organs, without noticeable toxicity. Given that GS-441524 was the predominant metabolite of remdesivir in the plasma, the anti-COVID-19 effect of remdesivir may partly come from the effect of GS-441524. Our results also supported that GS-441524 as a promising and inexpensive drug candidate in the treatment of COVID-19 and future emerging CoVs diseases.

pharmacology and toxicology↗

bioRxiv2020

LncRNA Snhg1-driven self-reinforcing regulatory network promotes cardiomyocyte cytokinesis

Most of current cardiac regenerative approaches result in very limited cell division. Positive feedback loops are vital for cell division, but their role in CM regeneration remains unclear. We aimed to demonstrate that lncRNA Snhg1 formed a positive feedback loop with c-Myc to induce stable CM cytokinesis. We found that Snhg1 expression was increased in human and mouse fetal and myocardial infarction (MI) hearts, particularly in CMs. Snhg1 overexpression elicited stable CM proliferation and improved post-MI cardiac function. Antagonism of Snhg1 in neonatal mice inhibited CM proliferation and impaired cardiac repair after MI. Proliferative effect was confirmed using cardiac-specific transgenic mice. RNA pull-down assays showed that Snhg1 directly bound to PTEN and activated PI3K-Akt pathway, resulting in c-Myc activation. Chromatin immunoprecipitation experiments showed that Snhg1 expression was upregulated by c-Myc binding to the Snhg1 promoter region, indicating a positive feedback loop between c-Myc and Snhg1. In conclusion, c-Myc/Snhg1/PI3k-Akt positive feedback loop drove sustained activation of cell cycle re-entry and induced stable CM cytokinesis, and thus may be an attractive strategy for promoting heart regenerative response. Clinical PerspectivesMost of the current cardiac regenerative approaches result in very limited cell division and little new cardiomyocyte (CM) mass. Positive feedback loops are vital for cell division, but their role in CM regeneration remain unclear. Here, we identified the long noncoding RNA Snhg1 as a driver to induce stable CM division and improve cardiac function after myocardial infarction (MI) by forming a positive feedback loop to sustain PI3K-Akt signaling activation. This finding might provide a novel therapeutic of Snhg1 as a promising regenerative approach to improve the prognosis of patients with heart failure.

developmental biology↗

bioRxiv2020

Transport of Alzheimer's Associated Amyloid-β Catalyzed by P-glycoprotein

P-glycoprotein (P-gp) is a critical membrane transporter in the blood brain barrier (BBB) and is implicated in Alzheimers disease (AD). However, previous studies on the ability of P-gp to directly transport the Alzheimers associated amyloid-{beta} (A{beta}) protein have produced contradictory results. Here we use molecular dynamics (MD) simulations, transport substrate accumulation studies in cell culture, and biochemical activity assays to show that P-gp actively transports A{beta}. We observed transport of A{beta}40 and A{beta}42 monomers by P-gp in explicit MD simulations of a putative catalytic cycle. In in vitro assays with P-gp overexpressing cells, we observed enhanced accumulation of fluorescently labeled A{beta}42 in the presence of Tariquidar, a potent P-gp inhibitor. We also showed that A{beta}42 stimulated the ATP hydrolysis activity of isolated P-gp in nanodiscs. Our findings expand the substrate profile of P-gp, and suggest that P-gp may contribute to the onset and progression of AD.

biochemistry↗

bioRxiv2020

The wheat 55K SNP-based exploration of loci for spikelet number per spike from a tetraploid wheat (Triticum turgidum L.) recombinant inbred line population derived from a Chinese landrace Ailanmai and a wild emmer accession

The spikelet number per spike (SNS) is a primary factor determining wheat yield. Common wheat breeding reduces the genetic diversity among elite germplasm resources, leading to a detrimental effect on future wheat production. It is, therefore, necessary to explore new genetic resources for SNS to increase wheat yield. A tetraploid landrace Ailanmai x wild emmer wheat recombinant inbred line (RIL) population was used to construct a genetic map using the wheat 55K single nucleotide polymorphism (SNP) array. The linkage map containing 1150 bin markers with a total genetic distance of 2411.8 cM was obtained. Based on phenotypic data from eight environments and best linear unbiased prediction (BLUP) values, five quantitative trait loci (QTL) for SNS were identified, explaining 6.71-29.40% of the phenotypic variation. Two of them, QSns.sau-AM-2B.3 and QSns.sau-AM-3B.2, were detected as the major and novel QTL. Their effects were further validated in two additional F2 populations using tightly linked Kompetitive Allele-Specific PCR (KASP) markers. Potential candidate genes within the physical intervals of corresponding QTL were predicted to participate in inflorescence development and spikelet formation. Genetic associations between SNS and other agronomic traits were also detected and analyzed. This study demonstrates the feasibility of wheat 55K SNP array developed for common wheat in genetic mapping of tetraploid population and shows the potential application of wheat related species in wheat improvement programs.

genetics↗

bioRxiv2020

Evolution of co-regulatory network of C4 metabolic genes and TFs in the genus Flaveria: go anear or away in the intermediate species?

C4 photosynthesis evolved from the ancestral C3 photosynthesis by recruiting pre-existing genes to fulfill new functions. The enzymes and transporters required for the C4 photosynthesis have been intensively studied; however, the transcription factors (TFs) regulating these C4 metabolic genes are not well understood. In particular, how the TF regulatory network of C4 metabolic genes was rewired during the evolution is unclear. Here, we constructed TFs co-regulatory networks for core C4 metabolic genes (C4GRN) for four evolutionarily closely related species from the genus Flaveria, which represent four different evolutionary stages of the C4 photosynthesis, namely, C3, type I C3-C4, type II C3-C4 and C4. Our results show that more than half of the co-regulations of TFs and C4 core metabolic genes were species specific. The counterparts of C4 genes in C3 species were already co-regulated with the photosynthesis-related genes; whereas the required TFs for the C4 photosynthesis were recruited later. The type I C3-C4 species recruited 40% of C4 required TFs which co-regulated all core C4 metabolic genes but PEPC; nevertheless, the type II C3-C4 species took on a high divergent C4GRN with C4 species itself. In C4 species, PEPC and PPDK-RP possessed much more co-regulated TFs than other C4 metabolic genes. This study provides for the first time the TFs profiles of the C4 metabolic genes in species with different photosynthetic types and reveal the dynamic of C4 genes-TFs co-regulations along the evolutionary process, providing thereby new insights into the evolution of C4 photosynthesis.

evolutionary biology↗

bioRxiv2020

Bayes Estimate of Primary Threshold in Cluster-wise fMRI Inferences

Cluster-wise statistical inference is the most widely used technique for functional magnetic resonance imaging (fMRI) data analyses. Cluster-wise statistical inference consists of two steps: i) primary thresholding that excludes less significant voxels by a pre-specified cut-off (e.g., p < 0.001); and ii) cluster-wise thresholding that controls the family-wise error rate (FWER) caused by clusters consisting of false positive suprathreshold voxels. It has been well known that the selection of the primary threshold is critical because it determines both statistical power and false discovery rate. However, in most existing statistical packages, the primary threshold is selected based on prior knowledge (e.g., p < 0.001) without taking into account the information in the data. In this manuscript, we propose a data-driven approach to objectively select the optimal primary threshold based on an empirical Bayes framework. We evaluate the proposed model using extensive simulation studies and an fMRI data example. The results show that our method can effectively increase statistical power while effectively controlling the false discovery rate.

neuroscience↗

bioRxiv2020

A proof of concept for neutralizing antibody-guided vaccine design against SARS-CoV-2

Mutations and transient conformational movements of receptor binding domain (RBD) that make neutralizing epitopes momentarily unavailable, present immune escape routes to SARS-CoV-2. To mitigate viral escape, we developed a cocktail of neutralizing antibodies (NAbs) targeting epitopes located on different domains of spike (S) protein. Screening of a library of monoclonal antibodies generated from peripheral blood mononuclear cells of COVID-19 convalescent patients yielded potent NAbs, targeting N-terminal domain (NTD) and RBD domain of S, effective at nM concentrations. Remarkably, combination of RBD-targeting NAbs and NTD-binding NAb, FC05, dramatically enhanced the neutralization potency in cell-based assays and animal model. Results of competitive SPR assays and cryo-EM structures of Fabs bound to S unveil determinants of immunogenicity. Combinations of immunogens, identified in NTD and RBD of S, when immunized in rabbits elicited potent protective immune responses against SARS-CoV-2. These results provide a proof-of-concept for neutralization-based immunogen design targeting SARS-CoV-2 NTD and RBD. One sentence summaryImmunogens identified in the NTD and RBD of the SARS-CoV-2 spike protein using a cocktail of non-competing NAbs when injected in rabbits elicited a potent protective immune response against SARS-CoV-2.

microbiology↗

bioRxiv2020

Comment on Rapid and efficient in vivo astrocyte-to-neuron conversion with regional identity and connectivity?

Regenerating functional new neurons in the adult mammalian central nervous system (CNS) has been proven to be very challenging due to the inability of neurons to divide and repopulate themselves after neuronal loss. In contrast, glial cells in the CNS can divide and repopulate themselves under injury or disease conditions. Therefore, many groups around the world have been able to utilize internal glial cells to directly convert them into neurons for neural repair. We have previously demonstrated that ectopic expression of NeuroD1 in dividing glial cells can directly convert reactive glial cells into neurons. However, Wang et al. recently posted an article in bioRxiv challenging the entire field of in vivo glia-to-neuron conversion after using one single highly toxic dose of AAV (2x1013 gc/ml, 1 l) in the mouse cortex, producing artifacts that are very difficult to interpret. We present data here that reducing AAV dosage to safe level will avoid artifacts caused by toxic dosage. We also demonstrate with Aldh1l1-CreERT2 and Ai14 reporter mice that lineage-traced astrocytes can be successfully converted into NeuN+ neurons after infected by AAV5 GFAP::NeuroD1. Retroviral expression of NeuroD1 further confirms our previous findings that dividing glial cells can be converted into neurons. Together, the incidence of Wang et al. sends an alarming signal to the entire in vivo reprogramming field that the dosage of viral vectors is a critical factor to consider when designing proper experiments. For AAV, we recommend a relatively safe dose of 1x1010 - 1x1012 gc/ml (~1 l) in the rodent brain for cell conversion experiments addressing basic science questions. For therapeutic purpose under injury or diseased conditions, AAV dosage needs to be adjusted through a series of dose finding experiments. Moreover, we recommend that the AAV results are further verified with retroviruses that mainly express transgenes in dividing glial cells in order to draw solid conclusions.

neuroscience↗

bioRxiv2020

Alternate models of acute dyslipidemia reveal divergent pathways upon atherosclerosis initiation

Atherosclerosis is thought to be initiated by the sub-intimal retention of apolipoprotein-B containing lipoproteins within susceptible sites of the vasculature. Understanding this initiation is not possible with current legacy mouse models of atherosclerosis. We created two mouse strains of inducible hypercholesterolemia based on conditional loss of apolipoprotein E or through inducible expression of a gain-of-function proprotein convertase subtilisin/kexin type 9 D374Y mutation. Both strains rapidly broke plasma-lipid homeostasis and converted to a state of atherogenic dyslipidemia, resulting in overt aortic-accumulation of lipoproteins within 10 days. RNA-sequencing revealed that the vascular response is completely dependent on the route taken to dyslipidemia, which nevertheless implicates known pathogenic pathways in the aetiology of atherosclerosis, and further implicates APOE as an inhibitor of inflammation. As atherosclerosis develops, a convergence of common mechanistic processes emerge in both strains with significant involvement of the immune system, and targeting of CD8 T cells can regulate a conserved aortic response. Our results define atherosclerosis initiation as highly heterogeneous process and identify multiple potential therapeutic targets that may influence disease onset.

physiology↗