Biology subjects

Bai, H.

Publications and source records attributed to Bai, H..

At least 55 records · Page 3Linked to original sources

bioRxiv2023

Rapid Prototyping of Thermoplastic Microfluidic 3D Cell Culture Devices by Creating Regional Hydrophilicity Discrepancy

Microfluidic three-dimensional cell culture devices that enable the recapitulation of key aspects of organ structures and functions in vivo represent a promising preclinical platform to improve translational success during drug discovery. Essential to these engineered devices is the spatial patterning of cells from different tissue types within a confined microenvironment. Traditional fabrication strategies lack the scalability, cost-effectiveness, and rapid prototyping capabilities required for industrial applications, especially for processes involving thermoplastic materials. Here, we introduce an approach to pattern fluid guides inside microchannels by establishing differential hydrophilicity using pressure-sensitive adhesives as masks and a subsequent selective coating with a biocompatible polymer. We identified optimal coating conditions using polyvinylpyrrolidone, which resulted in rapid and consistent hydrogel flow in both the open-chip prototype and the fully bonded device containing additional features for medium perfusion. We tested the suitability of our device for dynamic 3D cell culture by growing human hepatocytes in the device under controlled fluid flow for a 14-day period. Additionally, we demonstrated the potential of using our device for pharmaceutical high-throughput screening applications, such as predicting drug-induced liver injury. Our approach offers a facile strategy of rapid prototyping thermoplastic microfluidic organ chips with varying geometries, microstructures, and substrate materials.

bioengineering↗

bioRxiv2023

De novo design of highly selective miniprotein inhibitors of integrins αvβ6 and αvβ8

The RGD (Arg-Gly-Asp)-binding integrins v{beta}6 and v{beta}8 are clinically validated cancer and fibrosis targets of considerable therapeutic importance. Compounds that can discriminate between the two closely related integrin proteins and other RGD integrins, stabilize specific conformational states, and have sufficient stability enabling tissue restricted administration could have considerable therapeutic utility. Existing small molecules and antibody inhibitors do not have all of these properties, and hence there is a need for new approaches. Here we describe a method for computationally designing hyperstable RGD-containing miniproteins that are highly selective for a single RGD integrin heterodimer and conformational state, and use this strategy to design inhibitors of v{beta}6 and v{beta}8 with high selectivity. The v{beta}6 and v{beta}8 inhibitors have picomolar affinities for their targets, and >1000-fold selectivity over other RGD integrins. CryoEM structures are within 0.6-0.7[A] root-mean-square deviation (RMSD) to the computational design models; the designed v{beta}6 inhibitor and native ligand stabilize the open conformation in contrast to the therapeutic anti-v{beta}6 antibody BG00011 that stabilizes the bent-closed conformation and caused on-target toxicity in patients with lung fibrosis, and the v{beta}8 inhibitor maintains the constitutively fixed extended-closed v{beta}8 conformation. In a mouse model of bleomycin-induced lung fibrosis, the v{beta}6 inhibitor potently reduced fibrotic burden and improved overall lung mechanics when delivered via oropharyngeal administration mimicking inhalation, demonstrating the therapeutic potential of de novo designed integrin binding proteins with high selectivity.

biochemistry↗

bioRxiv2023

Synergistic effects of multiple pesticides on the flight ability of honey bees (Apis cerana F.)

Pesticides cause risks in the environment for Asian honey bees (Apis cerana). Imidacloprid (I), chlorpyrifos (C) and glyphosate (G) are among the most-widely used pesticides in the world. It is not clear on how these pesticides and combination of them affect the flight ability of A. cerana. Here we utilized flight mills to show new results that acute treatment of individual pesticides, such as 0.2 ng/bees imidacloprid (20 L, 10 ng/g), 0.6 ng/bees chlorpyrifos (20 L, 30 ng/g) and 1.2 ng/bees glyphosate (20 L, 60 ng/g), had no effect on the flight ability of bees. However, forager bees showed a significantly decrease in the flying duration and flying distance when oral exposed to two or three these pesticides. This evidence indicated that two or three pesticides can produce synergistic changes in the flight ability and behavior of honeybees. Results showed a light on new understandings of complex effects and potential risks of these three pesticide on bee behavior including homing ability and food-collecting ability. Our results are key information to understand new synergistic potential among pesticide formulations and how they impair bee behavior. Table of Contents Graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=104 SRC="FIGDIR/small/541595v1_ufig1.gif" ALT="Figure 1"> View larger version (23K): org.highwire.dtl.DTLVardef@70e24dorg.highwire.dtl.DTLVardef@1195fb8org.highwire.dtl.DTLVardef@db5ad5org.highwire.dtl.DTLVardef@1287b51_HPS_FORMAT_FIGEXP M_FIG C_FIG

animal behavior and cognition↗

bioRxiv2023

Progressive Senescence Programs Induce Intrinsic Vulnerability to Aging-related Breast Cancer

Cancer incidence escalates exponentially with advancing age; however, the underlying mechanism remains unclear. In this study, we built a chronological molecular clock at the single-cell transcription level with a mammary stem cell-enriched population to depict physiological aging dynamics in mice. We found that the mammary aging process was asynchronous and progressive, initiated by an early senescence program with elevated NF-kB and P53 signaling, succeeded by an entropic late senescence program with reduced NF-kB and P53 signaling and enhanced PI3K-Akt-mTOR, Wnt, Notch and pluripotent activity, vulnerable to cancer predisposition. The transition towards senescence program was governed by the master stem cell factor Bcl11b, loss of which accelerated mammary ageing with enhanced DMBA-induced tumor formation. We identified a drug TPCA-1 that can elevate Bcl11b, rejuvenate mammary cells and significantly reduce aging-related cancer incidence. Our findings established a molecular portrait of progressive mammary cell aging and elucidated the transcriptional regulatory network bridging mammary aging and cancer predisposition, which can be modulated to control cancer initiation; therefore, this study has potential implications for the management of cancer prevalence in the aged.

cancer biology↗

bioRxiv2022

De novo design of modular peptide binding proteins by superhelical matching

General approaches for designing sequence-specific peptide binding proteins would have wide utility in proteomics and synthetic biology. Although considerable progress has been made in designing proteins which bind to other proteins, the general peptide binding problem is more challenging as most peptides do not have defined structures in isolation, and to offset the loss in solvation upon binding the protein binding interface has to provide specific hydrogen bonds that complement the majority of the buried peptides backbone polar groups (1-3). Inspired by natural repeat protein-peptide complexes, and engineering efforts to alter their specificity (4-11), we describe a general approach for de novo design of proteins made out of repeating units that bind peptides with repeating sequences such that there is a one to one correspondence between repeat units on the protein and peptide. We develop a rapid docking plus geometric hashing method to identify protein backbones and protein-peptide rigid body arrangements that are compatible with bidentate hydrogen bonds between side chains on the protein and the backbone of the peptide (12); the remainder of the protein sequence is then designed using Rosetta to incorporate additional interactions with the peptide and drive folding to the desired structure. We use this approach to design, from scratch, alpha helical repeat proteins that bind six different tripeptide repeat sequences--PLP, LRP, PEW, IYP, PRM and PKW--in near polyproline 2 helical conformations. The proteins are expressed at high levels in E. coli, are hyperstable, and bind peptides with 4-6 copies of the target tripeptide sequences with nanomolar to picomolar affinities both in vitro and in living cells. Crystal structures reveal repeating interactions between protein and peptide interactions as designed, including a ladder of protein sidechain to peptide backbone hydrogen bonds. By redesigning the binding interfaces of individual repeat units, specificity can be achieved for non-repeating sequences, and for naturally occuring proteins containing disordered regions. Our approach provides a general route to designing specific binding proteins for a broad range of repeating and non-repetitive peptide sequences.

biochemistry↗

bioRxiv2022

A Haptoglobin (HP) Structural Variant Alters the Effect of APOE Alleles on Alzheimer's Disease

BackgroundHaptoglobin (HP) is an antioxidant of apolipoprotein E (APOE), and previous reports have shown HP binds with APOE and amyloid-{beta} (A{beta}) to aid its clearance. A common structural variant of the HP gene distinguishes it into two alleles: HP1 and HP2. MethodsHP genotypes were imputed in 29 cohorts from the Alzheimers Disease (AD) Genetics Consortium (N=22,651). Associations between the HP polymorphism and AD risk and age of onset through APOE interactions were investigated using regression models. ResultsThe HP polymorphism significantly impacts AD risk and age at onset in European-descent individuals (and in meta-analysis with African Americans) by modifying both the protective effect of APOE{varepsilon}2 and the detrimental effect of APOE{varepsilon}4, especially for APOE{varepsilon}4 carriers. DiscussionThe effect modification of APOE by HP suggests adjustment and/or stratification by HP genotype is warranted when APOE risk is considered. Our findings also provided directions for further investigations on potential mechanisms behind this association.

genetics↗

bioRxiv2022

Optimizing CpG spatial distribution with DNA origami for Th1-polarized therapeutic vaccination

Multivalent presentation of ligands often enhances receptor activation and downstream signaling. DNA origami offers precise nanoscale spacing of ligands, a potentially useful feature for therapeutic nanoparticles. Here we introduce a "square block" DNA origami platform to explore the importance of spacing of CpG oligonucleotides, which engage Toll-like receptors and thereby act as danger signals for dendritic cells. Through in vitro cell-culture studies and in vivo tumor-treatment models, we demonstrate that square blocks induce Th1 immune polarization when CpG is spaced at 3.5 nm. We observe that this DNA origami vaccine enhances DC activation, antigen cross-presentation, CD8 T cell activation, Th1-polarized CD4 activation and NK cell activation. The vaccine also synergizes effectively with anti-PD-L1 for improved cancer immunotherapy in melanoma and lymphoma models and induces long-term T cell memory. Our results suggest that DNA origami may serve as an advanced vaccine platform for controlling adjuvant spacing and co-delivering antigens. One Sentence SummaryThis study developed a DNA origami-based cancer vaccine (DoriVac) that co-delivers antigen and CpG immune adjuvant with an optimal nanospacing for Th1 immune polarization.

synthetic biology↗

bioRxiv2022

Robust deep learning based protein sequence design using ProteinMPNN

While deep learning has revolutionized protein structure prediction, almost all experimentally characterized de novo protein designs have been generated using physically based approaches such as Rosetta. Here we describe a deep learning based protein sequence design method, ProteinMPNN, with outstanding performance in both in silico and experimental tests. The amino acid sequence at different positions can be coupled between single or multiple chains, enabling application to a wide range of current protein design challenges. On native protein backbones, ProteinMPNN has a sequence recovery of 52.4%, compared to 32.9% for Rosetta. Incorporation of noise during training improves sequence recovery on protein structure models, and produces sequences which more robustly encode their structures as assessed using structure prediction algorithms. We demonstrate the broad utility and high accuracy of ProteinMPNN using X-ray crystallography, cryoEM and functional studies by rescuing previously failed designs, made using Rosetta or AlphaFold, of protein monomers, cyclic homo-oligomers, tetrahedral nanoparticles, and target binding proteins. One-sentence summaryA deep learning based protein sequence design method is described that is widely applicable to current design challenges and shows outstanding performance in both in silico and experimental tests.

biophysics↗

bioRxiv2022

Genomic insights into the adaptive and convergent evolution of Leuciscus waleckii inhabiting extremely alkaline environments

Leuciscus waleckii is widely distributed in Northeast Asia and has high economic value. Different from its freshwater counterparts, the population in Lake Dali Nur has a strong alkalinity tolerance and can adapt to extremely alkaline-saline water with bicarbonate over 50 mmol/L (pH 9.6), thus providing an exceptional model with which to explore the mechanisms of adaptive evolution under extreme alkaline environments. Here, we assembled a high quilty chromosome-level reference genome for L. waleckii from Lake Dali Nur, which provides an important genomic resource for the exploitation of alkaline water fishery resources and adaptive evolution research across teleost fish. Notably, we identified significantly expanded long terminal repeats (LTRs) and long interspersed nuclear elements (LINEs) in L. waleckii compared to other Cypriniformes fish, suggesting their more recent insertion into the L. waleckii genome. We also identified expansions in genes encoding gamma-glutamyltransferase, which possibly underlie the adaptation to extreme environmental stress. Based on the resequencing of 85 L.waleckii individuals from divergent populations, the historical population size of L.waleckii in Lake Dali Nur dramatically expanded in a thousand years approximately 13,000 years ago, and experienced a cliff recession in the process of adapting to the alkaline environment of Lake Dali Nur approximately 6,000 years ago. Genome scans further revealed the significant selective sweep regions from Lake Dali Nur, which harbour a set of candidate genes involved in hypoxia tolerance, ion transport, acid-base regulation and nitrogen metabolism. In particular, 5 alkali population specific nonsynonymous mutations were identified in CA15 gene copies. In addition, two sites with convergent amino acid mutation were detected in the RHCG-a gene among several alkali environment adapted Cypriniformes fish, this mutation may increase the NH3 excretion rate of the RHCG channel. Our findings provide comprehensive insight into the genomic mechanisms of L. waleckii and reveal their adaptative evolution under extreme alkaline environments.

evolutionary biology↗

bioRxiv2022

Quality Control Framework of TCM Preparations based on Multi-type Fingerprints using a Source Proportion Estimation Model

Traditional Chinese Medicine (TCM) preparations have been widely used in clinical practice for the treatment of various diseases. The quality of TCM preparations is related to clinical efficacy and safety and is highly valued by researchers. The authenticity of TCM preparation can be guaranteed objectively by accurate quality control according to the composition. Here, we proposed a quality control framework of TCM preparations, which is based on multi-type fingerprints using the source proportion estimation model (SPEM). The high-performance liquid chromatography (HPLC) analysis and the high-throughput sequencing analysis are employed to acquire the chemical and taxonomic fingerprints of samples, respectively. The quality of TCM preparations among different manufacturers or batches is evaluated by using SPEM, which is an unsupervised method for source identification of TCM samples. Results showed the good performance of the quality control framework, for example, SPEM achieved a mean accuracy of 0.778 based on the ITS2 taxonomic fingerprint when differentiating manufacturer of BazhenYimu Wan pill. Applications of the quality control framework revealed the batch effect in TCM samples, and environmental factors, such as geography have a profound impact on the consistency of TCM preparations. In summary, this study is an exploration in the field of digital development of TCM preparations and provide a new insight to quantify the batch effect among different batches of TCM samples.

pharmacology and toxicology↗

bioRxiv2022

Harringtonine has the effects of double blocking SARS-CoV-2 membrane fusion

Fusion with host cell membrane is the main mechanism of infection of SARS-CoV-2. Here, we propose a new strategy to double block SARS-CoV-2 membrane fusion by using Harringtonine (HT), a small-molecule antagonist. By using cell membrane chromatography (CMC), we found that HT specifically targeted the SARS-CoV-2 S protein and host cell TMPRSS2, and then confirmed that HT can inhibit pseudotyped virus membrane fusion. Furthermore, HT successfully blocked SARS-CoV-2 infection, especially in the delta and Omicron mutant. Since HT is a small-molecule antagonist, it is minimally affected by the continuous variation of SARS-CoV-2. Our findings show that HT is a potential small-molecule antagonist with a new mechanism of action against SARS-CoV-2 infection, and thus HT mainly targets the S protein, and thus, greatly reduces the damage of the S proteins autotoxicity to the organ system, has promising advantages in the clinical treatment of COVID-19.

pharmacology and toxicology↗

bioRxiv2022

Acetyl-CoA mediated autoacetylation of fatty acid synthase in de novo lipogenesis

De novo lipogenesis (DNL) is a highly regulated metabolic process, which is known to be activated through transcriptional regulation of lipogenic genes, including fatty acid synthase (FASN). Unexpectedly, we find that the expression of FASN protein remains unchanged during Drosophila larval development when lipogenesis is hyperactive. Instead, acetylation modification of FASN is highly upregulated in fast-growing larvae. We further show that lysine K813 is highly acetylated in developing larvae, and its acetylation is required for upregulated FASN activity, body fat accumulation, and normal development. Intriguingly, K813 is rapidly autoacetylated by acetyl-CoA in a dosage-dependent manner, independent of known acetyltransferases. Furthermore, the autoacetylation of K813 is mediated by a conserved P-loop-like motif (N-xx-G-x-A). In summary, this work uncovers a novel role of acetyl-CoA-mediated autoacetylation of FASN in developmental lipogenesis and reveals a self-regulatory system that controls metabolic homeostasis by linking acetyl-CoA, lysine acetylation, and DNL. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=139 SRC="FIGDIR/small/475252v1_ufig1.gif" ALT="Figure 1"> View larger version (30K): org.highwire.dtl.DTLVardef@db2042org.highwire.dtl.DTLVardef@22dde8org.highwire.dtl.DTLVardef@116b3a5org.highwire.dtl.DTLVardef@16c2dc9_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIAcetylation modification of FASN, but not protein expression, positively correlates with de novo lipogenesis during Drosophila larval development C_LIO_LISite-specific acetylation at K813 residue enhances FASN enzymatic activity C_LIO_LIK813 residue is autoacetylated by acetyl-CoA, independent of KATs C_LIO_LIA novel N-xx-G-x-A motif is required for autoacetylation of K813 C_LI

developmental biology↗

bioRxiv2021

Self-assembling short immunostimulatory duplex RNAs with broad spectrum antiviral activity

The current COVID-19 pandemic highlights the need for broad-spectrum antiviral therapeutics. Here we describe a new class of self-assembling immunostimulatory short duplex RNAs that potently induce production of type I and type III interferon (IFN-I and IFN-III), in a wide range of human cell types. These RNAs require a minimum of 20 base pairs, lack any sequence or structural characteristics of known immunostimulatory RNAs, and instead require a unique conserved sequence motif (sense strand: 5-C, antisense strand: 3-GGG) that mediates end-to-end dimer self-assembly of these RNAs by Hoogsteen G-G base-pairing. The presence of terminal hydroxyl or monophosphate groups, blunt or overhanging ends, or terminal RNA or DNA bases did not affect their ability to induce IFN. Unlike previously described immunostimulatory siRNAs, their activity is independent of TLR7/8, but requires the RIG-I/IRF3 pathway that induces a more restricted antiviral response with a lower proinflammatory signature compared with poly(I:C). Immune stimulation mediated by these duplex RNAs results in broad spectrum inhibition of infections by many respiratory viruses with pandemic potential, including SARS-CoV-2, SARS-CoV, MERS-CoV, and influenza A, as well as the common cold virus HCoV-NL63 in both cell lines and human Lung Chips that mimic organ-level lung pathophysiology. These short dsRNAs can be manufactured easily, and thus potentially could be harnessed to produce broad-spectrum antiviral therapeutics at low cost.

immunology↗

bioRxiv2021

Using attentive gated neural networks to quantify the impact of non-coding variants on transcription factor binding affinity

A large proportion of non-coding variants are present within binding sites of transcription factors(TFs), which play a significant role in gene regulation. Thus, deriving the impact of non-coding variants on TF binding is the first step towards unravelling their regulatory roles within their associated disease traits. Most of the modern algorithms used for this purpose are based on convolutional neural network(CNN) architectures. However, these models are incapable of capturing the positional effect of different sub-sequences within the TF binding sites on the binding affinity. In this paper, we utilize the attentive gated neural network(AGNet) architecture to build a set of TF-AGNet models for predicting in vivo TF binding intensities in the GM12878 lymphoblastoid cells. These models have novel layers capable of deriving the impact of relative positions of different DNA sub-sequences, within a binding site, on TF binding affinity, and of extracting the most relevant prediction features. We show that the TF-AGNet models are able to outperform conventional CNNs for predicting continuous values of TF binding affinity. We also train additional TF-AGNet models for 20 TFs using data from 4 other cell-lines to assess the generalizability of their prediction accuracy. Lastly, we show that the TF-AGNet based models more accurately classify non-coding variants that significantly affect TF binding compared to models based on 7 variant annotation tools. This accuracy can be leveraged to derive gene regulatory roles of millions of non-coding variants across the genome to further examine their mechanistic associations with complex disease traits.

bioinformatics↗

bioRxiv2021

The first crested duck genome reveals clues to genetic compensation and crest cushion formation

The Chinese crested (CC) duck is a unique indigenous waterfowl breed with a phenotypic crest trait that affects its high survival rate. Therefore, the CC duck is an ideal model to investigate the genetic compensation response to maintain genetic stability. In the present study, we first generated a chromosome-level genome of CC ducks. Comparative genomics revealed genes related to tissue repair, immune function, and tumors were under strong positive selection, which suggested that these adaptive changes might enhance cancer resistance and immune response to maintain the genetic stability of CC ducks. We sub-assembled a Chinese spot-billed duck genome and detected genome-assembled structure variants among three ducks. Functional analysis revealed that a large number of structural variants were related to the immune system, which strongly suggests the occurrence of genetic compensation in the anti-tumor and immune systems to further support the survival of CC ducks. Moreover, we confirmed that the CC duck originated from the mallard ducks. Finally, we revealed the physiological and genetic basis of crest traits and identified a causative mutation in TAS2R40 that leads to crest formation. Overall, the findings of this study provide new insights into the role of genetic compensation in adaptive evolution.

genomics↗

bioRxiv2021

Bioimage postprocessing based on discrete wavelet transform and Lucy-Richardson deconvolution methods

Accompanied with the increasing requirements of probing micro/nanoscopic structures of biological samples, a variety of image processing algorithms have been developed for visualization or to facilitate data analysis. However, it remains challenging to enhance both the signal-to-noise ratio and image resolution using a single algorithm. In this investigation, we propose an approach utilizing discrete wavelet transform (DWT) in combination with Lucy-Richardson (LR) deconvolution (DWDC). Our results demonstrate that the signal-to-noise ratio and resolution of live cells microtubule network are considerably improved, allowing recognition of features as small as 120 nm. Notably, the approach is independent of imaging system and shows robustness in processing fibrous structures, e.g. the cytoskeleton networks.

biophysics↗

bioRxiv2021

Survival mechanism of a novel marine multistress-tolerant Meyerozyma guilliermondii GXDK6 under high NaCl stress as revealed by integrative omics analysis

A novel strain named Meyerozyma guilliermondii GXDK6 was provided in this work, which was confirmed to survive independently under high salt stress (12% NaCl) or co-stress condition of strong acid (pH 3.0) and high salts (10% NaCl) without sterilization. Its survival mechanism under high salt stress was revealed by integrated omics for the first time. Whole-genome analysis showed that 14 genes (e.g., GPD1 and FPS1) of GXDK6 relevant to salt tolerance were annotated and known to belong to various salt-resistant mechanisms (e.g., regulation of cell signal transduction and glycerol metabolism controls). Transcriptome sequencing results indicated that 1220 genes (accounting for 10.15%) of GXDK6 were differentially transcribed (p < 0.05) when GXDK6 growth was under 10% stress for 16 h, including important novel salt-tolerant-related genes (e.g., RTM1 and YHB1). Proteomics analysis demonstrated that 1005 proteins (accounting for 27.26%) of GXDK6 were differentially expressed (p < 0.05) when GXDK6 was stressed by 10% NaCl. Some of the differentially expressed proteins were defined as the novel salt-tolerant related proteins (e.g., sugar transporter STL1 and NADPH-dependent methylglyoxal reductase). Metabolomic analysis results showed that 63 types of metabolites (e.g., D-mannose, glycerol and inositol phosphate) of GXDK6 were up- or downregulated when stressed by 10% NaCl. Among them, D-mannose is one of the important metabolites that could enhance the salt-tolerance survival of GXDK6. IMPORTANCEMicrobial contamination is a huge obstacle in industrial fermentation. The emergence of multistress-tolerant microorganism is expected to realize industrial fermentation without sterilization by controlling specific conditions. However, microorganisms eligible for non-sterile fermentation are required to survive independently under the selected special conditions for the fermentation conditions to be controlled to avoid microbial contamination. Here, a novel marine Meyerozyma guilliermondii was presented, which is able to survive well under high salt stress, its survival mechanism was systematically revealed by integrated omics technology. In addition, finding that NaCl stress could also stimulate the biosynthesis of functional metabolites from GXDK6 (e.g., calcitriol and didemnin B). Among the functional metabolites, calcitriol biosynthesis via microbial method was rarely reported. Thus, its biosynthetic mechanism was further revealed. The findings in this study contributed to understanding the survival mechanism of M. guilliermondii under high salt stress, and the development of new molecular drugs from M. guilliermondii GXDK6. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=98 SRC="FIGDIR/small/450280v1_ufig1.gif" ALT="Figure 1"> View larger version (36K): org.highwire.dtl.DTLVardef@928135org.highwire.dtl.DTLVardef@60c713org.highwire.dtl.DTLVardef@1adb19dorg.highwire.dtl.DTLVardef@67caaa_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2021

Heterogeneous pdgfrβ+ cells regulate coronary vessel development and revascularization during heart regeneration

Endothelial cells emerge from the atrioventricular canal (AVC) to form nascent coronary blood vessels in the juvenile zebrafish heart. We found that pdgfr{beta} is first expressed in the epicardium around the AVC and later becomes localized mainly in the mural cells. pdgfr{beta} mutant fish display severe defects in mural cell recruitment and coronary vessel development. pdgfr{beta}+ mural cells are heterogeneous and those associated with coronary arteries also express cxcl12b. Mural cells positive for both pdgfr{beta} and cxcl12b transgenic reporters had elevated expression of smooth muscle cell genes. Interestingly, these mural cells were associated with coronary arteries even in the absence of Pdgfr{beta}, although smooth muscle gene expression was downregulated in these cells. We found that pdgfr{beta} expression dynamically changes in the epicardium derived cells, which we found to be a heterogeneous population. mdka was identified as a gene upregulated in subpopulations of pdgfr{beta}+ cells during heart regeneration. However, pdgfr{beta} but not mdka mutants showed defects in heart regeneration. Our results demonstrated that pdgfr{beta}+ cells and Pdgfr{beta} signaling are essential for coronary development and heart regeneration. SUMMARY STATEMENTHeterogeneous pdgfr{beta} positive cells are present in developing and regenerating zebrafish hearts and are required for development of mural cells and their association with the nascent coronary vessels during zebrafish heart development and regeneration.

developmental biology↗