Biology subjects

Li, Q.

Publications and source records attributed to Li, Q..

At least 541 records · Page 30Linked to original sources

bioRxiv2021

IGF1 Signaling in Temporomandibular Joint Fibrocartilage Stem Cells Regulates Cartilage Growth and Homeostasis in Mice

ObjectiveInvestigate functional roles of Igf1 in fibrocartilage stem cell (FCSC) for temporomandibular joint (TMJ) cartilage growth and homeostasis. MethodsGli1-CreER+; RosaTdTomato mice were used for validating FCSCs lineage labeling efficiency. In Gli1-/Col2-CreER+; Igf1fl/fl mice, TMJ cartilage morphological and functional changes were characterized at 4 weeks and 5 months after Igf1 deletion. H&E, Safranine O and immuno-histochemistry staining were performed. FCSCs specificity were characterized using EdU and TUNEL staining. A unilateral anterior crossbite (UAC) mouse model was generated for mimicking TMJ osteoarthritis status. ResultsIn Gli1-CreER+; RosaTdTomato mice, RFP labeled FCSCs showed favorable proliferative capacity. 4 weeks after Igf1 deletion, Gli1+ and Col2+ cell lineages led to distinct pathological changes of TMJ cartilage morphology. A more serious reduction of cartilage thickness and cell density were found in the superficial layers in Gli1-CreER+; Igf1fl/fl mice. 5 months after Igf1 deletion, more severe disordered cell arrangement in TMJ cartilage were found in both groups with Gli1+ and Col2+ specific deletion of Igf1. Immunostaining showed that PI3K/Akt signaling pathway was blocked in the superficial layers of TMJ in Gli1-CreER+; RosaTdTomato mice. Finally, deletion of Igf1 in FCSCs significantly aggravated osteoarthritis (OA) phenotypic changes in TMJ in UAC mice model, characterized in decreased cartilage thickness, cell numbers and loss of extracellular matrix secretion. ConclusionIgf1 deletion disrupted stem cell functions of FCSCs, leading to disordered cell distribution during TMJ growth, as well as exaggerated the OA process in TMJ under pathological condition. In TMJ cartilage, Igf1 expression in FCSCs is critical for PI3K/Akt activation, which may be involved in regulating FCSCs self-renewal and differentiation.

cell biology↗

bioRxiv2021

RIF1-ASF1-mediated high-order chromatin structure safeguards genome integrity

The 53BP1-RIF1 pathway antagonizes resection of DNA broken ends and confers PARP inhibitor sensitivity on BRCA1-mutated tumors. However, it is unclear how this pathway suppresses initiation of resection. Here, we identify ASF1 as a partner of RIF1 via an interacting manner similar to its interactions with histone chaperones CAF-1 and HIRA. ASF1 is recruited to distal chromatin flanking DNA breaks by 53BP1-RIF1 and promotes non-homologous end joining (NHEJ) using its histone chaperone activity. Epistasis analysis shows that ASF1 acts in the same NHEJ pathway as RIF1, but via a parallel pathway with the shieldin complex, which suppresses resection after initiation. Moreover, defects in end resection and homologous recombination (HR) in BRCA1- deficient cells are largely suppressed by ASF1 deficiency. Mechanistically, ASF1 compacts adjacent chromatin by heterochromatinization to protect broken DNA ends from BRCA1-mediated resection. Taken together, our findings identified a RIF1-ASF1 histone chaperone complex that promotes changes in high-order chromatin structure to stimulate the NHEJ pathway for DSB repair.

molecular biology↗

bioRxiv2021

Fast anther dehiscence state recognition system establishing by deep learning to screen heat tolerant cotton

Cotton is one of the most economically important crops in the world. The fertility of male reproductive organs is a key determinant of cotton yield. The anther dehiscence or indehiscence directly determine the probability of fertilization in cotton. Thus, the rapid and accurate identification of cotton anther dehiscence status is important for judging anther growth status and promoting genetic breeding research. The development of computer vision technology and the advent of big data have prompted the application of deep learning techniques to agricultural phenotype research. Therefore, two deep learning models (Faster R-CNN and YOLOv5) were proposed to detect the number and dehiscence status of anthers. The single-stage model based on YOLOv5 has higher recognition efficiency and the ability to deploy to the mobile end. Breeding researchers can apply this model to terminals to achieve a more intuitive understanding of cotton anther dehiscence status. Moreover, three improvement strategies of Faster R-CNN model were proposed, the improved model has higher detection accuracy than YOLOv5 model. In addition, the percentage of dehiscent anther of randomly selected 30 cotton varieties were observed from cotton population under normal temperature and high temperature (HT) conditions through the integrated Faster R-CNN model and manual observation. The result showed HT varying decreased the percentage of dehiscent anther in different cotton lines, consistent with the manual method. Thus, this system can help us to rapid and accurate identification of HT-tolerant cotton. One sentence summaryThe deep learning technique was applied to identify the anther dehiscence state for the first time to quickly screen heat tolerant cotton varieties and help to explore key genetic improvement genes.

bioengineering↗

bioRxiv2021

Transcriptome innovations in primates revealed by single-molecule long-read sequencing

Transcriptomic diversity greatly contributes to the fundamentals of disease, lineage-specific biology, and environmental adaptation. However, much of the actual isoform repertoire contributing to shaping primate evolution remains unknown. Here, we combined deep long- and short-read sequencing complemented with mass spectrometry proteomics in a panel of lymphoblastoid cell lines (LCLs) from human, three other great apes, and rhesus macaque, producing the largest full-length isoform catalog in primates to date. Our transcriptomes reveal thousands of novel transcripts, some of them under active translation, expanding and completing the repertoire of primate gene models. Our comparative analyses unveil hundreds of transcriptomic innovations and isoform usage changes related to immune function and immunological disorders. The confluence of these innovations with signals of positive selection and their limited impact in the proteome points to changes in alternative splicing in genes involved in immune response as an important target of recent regulatory divergence in primates.

evolutionary biology↗

bioRxiv2021

Recurrent urinary tract infection and estrogen shape the taxonomic ecology and functional potential of the postmenopausal urobiome

Community-acquired urinary tract infection (UTI) is among the most common bacterial infections observed in humans. Postmenopausal women are a rapidly growing and underserved demographic group who are severely affected by recurrent UTI (rUTI) with a >50% recurrence rate. In this population, rUTI can persist for years, reducing quality of life and imposing a significant healthcare burden. rUTI is most often treated by antibiotics, but development of antibiotic resistance and allergy limit therapeutic options. The female urinary microbiome (urobiome) has been identified as a key component of the urogenital environment. However, compositional and functional changes in the urobiome underlying rUTI susceptibility in postmenopausal women are not well understood. Here, we used a controlled, cross-sectional cohort of postmenopausal women, to interrogate changes in urobiome structure and function linked to rUTI susceptibility by whole genome metagenomic sequencing (WGMS), advanced urine culture, estrogen metabolite profiling, and antibiotic sensitivity testing. Overall, we detected 276 bacterial, archaeal, and fungal species representing 106 genera. We find a putative commensal population consisting of species known to protect against bacterial vaginosis, such as Lactobacillus crispatus, within the urobiome of postmenopausal women who do not experience UTI. Integration of clinical metadata detected an almost exclusive enrichment of lactobacilli, including L. crispatus and L. vaginalis, in women taking estrogen hormone therapy (EHT). Integrating quantitative metabolite profiling of urinary estrogens with WGMS, we observed robust correlations between urobiome taxa, such as Bifidobacterium breve and L. crispatus, and urinary estrogen conjugate concentrations in women with no history of UTI that were absent in women with rUTI history. We further used functional metagenomic profiling and patient-derived isolate phenotyping to identify microbial metabolic pathways, antimicrobial resistance genes (ARGs), and clinically relevant antimicrobial resistance phenotypes enriched between disease-states. Our data indicate that distinct urobiome metabolic and ARG signatures are associated with current rUTI status and history. Importantly, we observed that rUTI history leaves an imprint of enriched ARGs even in women not currently experiencing UTI. Taken together, our data suggests that rUTI history and estrogen strongly shape the functional and taxonomic composition of the urobiome in postmenopausal women.

microbiology↗

bioRxiv2021

Comprehensive RNA-Seq Reveals Molecular Changes in Kidney Malignancy Among People Living with HIV

BackgroundMalignancy of the kidney is a rapidly progressive kidney disease and a major source of morbidity and mortality among people living with HIV (PLWH). Patients with HIV-associated kidey cancer experience higher cancer-specific mortality than the general population, and its mechanism remains poorly understood. MethodsTo heighten the awareness of kidney malignancy in patients with HIV infection to facilitate the early diagnosis of kidney cancer, we identified 2460 protein-coding transcripts in HIV-associated kidney cancer using comprehensive RNA sequencing (RNA-seq). ResultsKISS1R, CAIX, and NPTX2 mRNA expression levels were specifically increased in HIV-associated kidney cancer, and UMOD and TMEM213 mRNA were decreased in most cases based on real-time PCR analyses. These findings were similar to those noted for the general population with renal cell carcinoma. Immunohistochemical staining analysis also showed that a total of 16 of 18 kidney malignant cases among PLWH exhibited positive staining for KISS1R and CAIX. ConclusionPathway analysis of the differentially expressed mRNAs in HIV-associated kidney cancer revealed that several key pathways were involved, including voltage-gated chloride channel activity, distal tubule development, collecting duct development, fructose metabolic processes, and negative regulation of lipase activity. The identified molecular changes in kidney malignancy may offer a helpful explanation for cancer progression and open up new therapeutic avenues that may decrease mortality after a cancer diagnosis among PLWH.

cancer biology↗

bioRxiv2021

Allosteric modulation of the SARS-CoV-2 spike conformation

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infects cells through binding to angiotensin-converting enzyme 2 (ACE2). This interaction is mediated by the receptor-binding domain (RBD) of the viral spike (S) glycoprotein. Structural and dynamic data have shown that S can adopt multiple conformations, which controls the exposure of the ACE2-binding site in the RBD. Here, using single-molecule Forster resonance energy transfer (smFRET) imaging we report the effects of ACE2 and antibody binding on the conformational dynamics of S from the Wuhan-1 strain and the B.1 variant (D614G). We find that D614G modulates the energetics of the RBD position in a manner similar to ACE2 binding. We also find that antibodies that target diverse epitopes, including those distal to the RBD, stabilize the RBD in a position competent for ACE2 binding. Parallel solution-based binding experiments using fluorescence correlation spectroscopy (FCS) indicate antibody-mediated enhancement of ACE2 binding. These findings inform on novel strategies for therapeutic antibody cocktails.

biophysics↗

bioRxiv2021

PHB3 Regulates Lateral Root Primordia Formation via NO-mediated Degradation of AUX/IAAs

We previously showed that PHB3 regulates auxin-stimulated lateral root (LR) formation; however, the underlying molecular mechanism is unknown. Here, we demonstrate that PHB3 regulates LR development mainly through influencing lateral root primordia (LRP) initiation via affecting nitric oxide (NO) accumulation. The reduced LRP in phb3 was largely rescued by exogenous NO donor SNAP treatment. The decreased NO accumulation in phb3 caused a lower expression of GATA23 and LBD16 through inhibiting the degradation of IAA14/28. Overexpression of either GATA23 or LBD16 in phb3 mutant background recovered the reduced LRP number phenotype. These results indicate that PHB3 regulates LRP initiation via NO-mediated auxin signaling through regulating the degradation of IAA14/28. HighlightPHB3 regulates IAA28 and IAA14 degradation by controlling NO accumulation, and thereby regulating LR founder cell identification and the transition to asymmetric division.

developmental biology↗

bioRxiv2021

Multi-omic analysis reveals the biochemical changes underpinning the varied phenotypes of the Arabidopsis long-period mutant rve 4 6 8

Plants are able to sense changes in their light environments, such as the onset of day and night, as well as anticipate these changes in order to adapt and survive. Central to this ability is the plant circadian clock, a molecular circuit that precisely orchestrates plant cell processes over the course of a day. REVEILLE proteins (RVEs) are recently discovered members of the plant circadian circuitry that activate the evening complex and PRR genes to maintain regular circadian oscillation. The RVE 8 protein and its two homologs, RVE 4 and 6, have been shown to limit the length of the circadian period, with rve 4 6 8 triple-knockout plants possessing an elongated period along with increased leaf surface area, biomass, cell size and delayed flowering relative to wild-type Col-0 plants. Here, using a multi-omics approach consisting of phenomics, transcriptomics, proteomics, and metabolomics we draw novel connections between RVE8-like proteins and a number of core plant cell processes. In particular, we reveal that loss of RVE8-like proteins results in altered carbohydrate, organic acid and lipid metabolism, including a starch excess phenotype at dawn. We further demonstrate that rve 4 6 8 plants have lower levels of 20S proteasome subunits and possess significantly reduced proteasome activity, potentially explaining the increase in cell-size observed in RVE8-like mutants. Overall, this robust, multi-omic dataset, provides substantial new insights into the far reaching impact RVE8-like proteins have on the diel plant cell environment.

plant biology↗

bioRxiv2021

Accurate estimation of intrinsic biases for improved analysis of chromatin accessibility sequencing data using SELMA

Genome-wide profiling of chromatin accessibility by DNase-seq or ATAC-seq has been widely used to identify regulatory DNA elements and transcription factor binding sites. However, enzymatic DNA cleavage exhibits intrinsic sequence biases that confound chromatin accessibility profiling data analysis. Existing computational tools are limited in their ability to account for such intrinsic biases and not designed for analyzing single-cell data. Here, we present Simplex Encoded Linear Model for Accessible Chromatin (SELMA), a computational method for systematic estimation of intrinsic cleavage biases from genomic chromatin accessibility profiling data. We demonstrate that SELMA yields accurate and robust bias estimation from both bulk and single-cell DNase-seq and ATAC-seq data. SELMA can utilize internal mitochondrial DNA data to improve bias estimation. We show that transcription factor binding inference from DNase footprints can be improved by incorporating estimated biases using SELMA. Furthermore, we show strong effects of intrinsic biases in single-cell ATAC-seq data, and develop the first single-cell ATAC-seq intrinsic bias correction model to improve cell clustering. SELMA can enhance the performance of existing bioinformatics tools and improve the analysis of both bulk and single-cell chromatin accessibility sequencing data.

bioinformatics↗

bioRxiv2021

Spatially-resolved transcriptomics analyses of invasive fronts in solid tumors

Solid tumors are complex ecosystems, and heterogeneity is the major challenge for overcoming tumor relapse and metastasis. Uncovering the spatial heterogeneity of cell types and functional states in tumors is essential for developing effective treatment, especially in invasive fronts of tumor, the most active region for tumor cells infiltration and invasion. We firstly used SpaTial Enhanced REsolution Omics-sequencing (Stereo-seq) with a nanoscale resolution to characterize the tumor microenvironment of intrahepatic cholangiocarcinoma (ICC). Enrichment of distinctive immune cells, suppressive immune microenvironment and metabolic reprogramming of tumor cells were identified in the 500{micro}m-wide zone centered bilaterally on the tumor boundary, namely invasive fronts of tumor. Furthermore, we found the damaged states of hepatocytes with overexpression of Serum Amyloid A (SAA) in invasive fronts, recruiting macrophages for facilitating further tumor invasion, and thus resulting in a worse prognosis. We also confirmed these findings in hepatocellular carcinoma and other liver metastatic cancers. Our work highlights the remarkable potential of high-resolution-spatially resolved transcriptomic approaches to provide meaningful biological insights for comprehensively dissecting the tumor ecosystem and guiding the development of novel therapeutic strategies for solid tumors.

cancer biology↗

bioRxiv2021

The In Vivo Source of Type I and Type III IFNs is Pathogen Dependent

Type I (-, {beta}) and type III (-{lambda}) interferons (IFNs) are produced in response to virus infection and upregulate a largely overlapping set of IFN stimulated genes which mediate the protective effects of these antiviral cytokines. In vitro studies have demonstrated the redundancy of these two cytokine families which activate the same transcription factor, IFN stimulated gene factor 3 (ISGF3), via distinct ligands and receptors. However, in vivo, these IFN types do have distinct functions based on receptor distribution, but also ligand availability. Using a newly generated IFN-{lambda} reporter mouse strain we have observed that both type I and type III IFNs are produced in response to respiratory tract infection by Newcastle disease virus (NDV) and influenza A virus (IAV). In the case of NDV these IFNs are synthesized by different cell types. Type I IFNs are produced primarily by alveolar macrophages, type III IFNs are made only by epithelial cells, and production of either is dependent on MAVS. While epithelial cells of the respiratory tract represent the primary target of IAV infection, we found that they did not significantly contribute to IFN-{lambda} production, and IFN-{lambda} protein levels were largely unaffected in the absence of MAVS. Instead we found that pDCs, a cell type known for robust IFN- production via TLR/MyD88 signaling, were the major producers of IFN-{lambda} during IAV infection, with pDC depletion during influenza infection resulting in significantly reduced levels of both IFN- and IFN-{lambda}. In addition, we were able to demonstrate that pDCs rely on type I IFN for optimal IFN-{lambda} production. These studies therefore demonstrate that the in vivo producers of Type III IFNs in response to respiratory virus infection are pathogen dependent, a finding which may explain the varying levels of cytokine production induced by different viral pathogens.

immunology↗

bioRxiv2021

A unique genomic island-governed cannibalism in Bacillus enhanced biofilm formation through a novel regulation mechanism

Cannibalism is a differentiation strategy and social multicellular behavior in biofilms. The novel factors and mechanisms to trigger the bacterial cannibalism remain scarce. Here, we report a novel bacillunoic acids-mediated strategy for manipulating cannibalism in Bacillus velezensis SQR9 biofilm formation. A subfraction of cells differentiate into cannibals that secrete toxic bacillunoic acids to lyse a fraction of their sensitive siblings, and the released nutrients enhance biofilm formation. Meanwhile, the self-immunity of cannibal cells was induced by bacillunoic acids. A two-component system, the OmpS-OmpR signal-transduction pathway, controls the expression of the ABC transporter BnaAB for self-immunity. Specifically, bacillunoic acids activate the autophosphorylation of OmpS, a transmembrane histidine kinase, which then transfers a phosphoryl group to its response regulator OmpR. The phosphorylation of OmpR activates the transcription of the transporter gene bnaAB by binding its promoter. Thus, bacillunoic acids are pumped out of cells by the ABC transporter BnaAB. Moreover, we discovered that strain SQR9 could use the bacillunoic acids-mediated cannibalism to optimize its community to produce more bacillunoic acids for bacterial competition. This study revealed that bacillunoic acids play a previously undiscovered dual role in both cannibalism during biofilm formation and interspecies competition, which has an important biological significance.

microbiology↗

bioRxiv2021

Inhibition of Kallikrein-related peptidases 7 restrains pancreatic tumor growth through induction of ferroptosis

Pancreatic cancer is one of the most aggressive and lethal malignancies with extremely poor prognosis, and KLK7 was considered as a potential therapeutic target. In this study, we analyzed the expression of KLK7 in TCGA and GTEx databases and found that KLK7 had a negative correlation to long-term survival rate (>1.5 years) of pancreatic cancer patients. Compound 42 is a coumarinic derivative, a suicide substrate inhibitor of KLK7, which has been proved to inhibit the proliferation of PANC-1 cells in vitro effectively in our previous study. In this study, we further investigated the inhibition ability of Compound 42 in tumor formation and development in CDX and PDX tumor models of pancreatic cancer subsequently. Besides, we studied the inhibitory mechanism of Compound 42 and the result showed that Compound 42 arrested the pancreatic cancer cell cycle in G0/G1 phase and induced ferroptosis through down-regulation of GPX4 protein level and accumulation of iron ion. Thus, these experiments demonstrate that Compound 42, suppressing pancreatic cancer in vivo, is expected to become a novel drug for pancreatic cancer treatment.

molecular biology↗

bioRxiv2021

AI-driven high-throughput automation of behavioral analysis and dual-channel wireless optogenetics for multiplexing brain dynamics

Advances in behavioral optogenetics are limited by the absence of high-throughput pipelines for the automated analysis of behavior in freely behaving animals. Although a variety of AI algorithms has been proposed that enable automation of behavioral analysis, existing methods are generally low-throughput. In addition, optogenetic manipulation of neural circuits typically requires physical tethers to light sources, which limits the number of brain areas that can be targeted and thus constrains behavioral testing. Here, we develop a new wireless platform that combines a battery-free dual-channel optogenetic implant with an AI algorithm for high-throughput behavioral analysis. In our platform, a customized AI algorithm detected and quantified freezing behavior of rats that had undergone fear conditioning. Notably, our platform allows up to four enclosures to be monitored simultaneously. Wireless dual-channel optogenetic devices were implanted in the basolateral amygdala (BLA) to permit independent modulation of BLA principal neurons (red light, AAV-CaMKII-JAWS) or BLA interneurons (blue light, AAV-mDlx-ChR2) in freely behaving animals. In vivo validation with behaving rats demonstrates the utility of the telemetry system for large-scale optogenetic studies. SignificanceAI algorithms can enable automation of behavioral analysis and thereby facilitate the progress on behavioral optogenetics. Successful integration of advanced wireless dual-channel optoelectronic devices with biological systems can also yield new tools and techniques for neuroscience research, particularly in the context of techniques for optogenetics. Here, we propose a new approach that combines an advanced AI algorithm with a low power wireless telemetry system, yielding powerful capabilities in the understanding of brain functions and the evaluation of the behavioral consequences of neural circuit manipulations. In vivo studies using optimized systems demonstrate high-throughput automation of behavioral manipulation and analysis via AI-powered wireless telemetry.

neuroscience↗

bioRxiv2021

Zika virus causes placental pyroptosis and associated adverse fetal outcomes by activating GSDME

Zika virus (ZIKV) can be transmitted from mother to fetus during pregnancy, causing adverse fetal outcomes. Several studies have indicated that ZIKV can damage the fetal brain directly; however, whether the ZIKV-induced maternal placental injury contribute to adverse fetal outcomes are sparsely defined. Here, we discovered that ZIKV causes the pyroptosis of placental cells by activating the executor Gasdermin E (GSDME) in vitro and in vivo. Mechanistically, caspase-8 undergoes activation upon the recognition of 5 untranslated region of viral RNA by RIG-I, followed by the stimulation of caspase-3 to ultimately escalate the GSDME cleavage. Further analyses revealed that the ablation of GSDME in ZIKV-infected pregnant mice attenuates placental pyroptosis, which consequently confers protection against adverse fetal outcomes. In conclusion, our study unveils a novel mechanism of ZIKV-induced adverse fetal outcomes via causing placental cell pyroptosis, which could be employed for developing new therapies for ZIKV-associated diseases. Significance statementSeveral studies have elucidated the link between ZIKV infection and congenital ZIKV syndroms (CZS), but the pathogenesis yet needs further study. Here, we reported a novel pathogenic mechanism of ZIKV which leads to pyroptosis of placental cells through activating the pyroptotic executor GSDME, rather than GSDMD. Upon ZIKV infection, GSDME-mediated pyroptosis damages the structure and function of the placenta, thereby affecting the development of the fetus and contributing to the adverse fetal outcomes. Our study highlights the importance of pyroptotic executor GSDME in regulate ZIKV pathogenicity and further confirms that placental injury caused by ZIKV infection is a key factor for CZS.

microbiology↗

bioRxiv2021

Sequential rescue and repair of stalled and damaged ribosome by bacterial PrfH and RtcB

In bacteria, rescue of stalled ribosomes due to 3-truncated mRNAs is carried out by the ubiquitous trans-translation system as well as alternative ribosome-rescue factors such as ArfA and ArfB. It is unclear, however, how the stalled ribosomes caused by ribosomal damages are rescued. Here, we report that a bacterial system composed of PrfH and RtcB not only rescues a stalled ribosome resulting from a specific damage in the decoding center but also repairs the damage afterwards. Peptide release assays reveal that PrfH is only active with the damaged ribosome, but not with the intact one. A 2.55-angstrom cryo-EM structure of PrfH in complex with the damaged 70S ribosome provides molecular insight into specific recognition of the damage site by PrfH. RNA repair assays demonstrate that PrfH-coupled RtcB efficiently repairs the damaged 30S ribosomal subunit, but not the damaged tRNAs. Thus, our studies have uncovered a biological operation by a pair of bacterial enzymes, aiming to reverse the potentially lethal damage inflicted by an invading ribotoxin for cell survival.

biochemistry↗

bioRxiv2021

Epicardial HDAC3 promotes myocardial growth through a novel microRNA pathway

RationalEstablishment of the myocardial wall requires proper growth cues from nonmyocardial tissues. During heart development, the epicardium and epicardium-derived cells (EPDCs) instruct myocardial growth by secreting essential factors including fibroblast growth factor 9 (FGF9) and insulin-like growth factor 2 (IGF2). However, it is poorly understood how the epicardial secreted factors are regulated, in particular by chromatin modifications for myocardial formation. ObjectiveTo understand whether and how histone deacetylase 3 (HDAC3) in the developing epicardium regulates myocardial growth. Methods and ResultsWe deleted Hdac3 in the developing murine epicardium and mutant hearts showed ventricular myocardial wall hypoplasia with reduction of EPDCs. The cultured embryonic cardiomyocytes with supernatants from Hdac3 knockout (KO) mouse epicardial cells (MECs) also showed decreased proliferation. Genome-wide transcriptomic analysis revealed that Fgf9 and Igf2 were significantly down-regulated in Hdac3 KO MECs. We further found that Fgf9 and Igf2 expression is dependent on HDAC3 deacetylase activity. The supplementation of FGF9 or IGF2 can rescue the myocardial proliferation defects treated by Hdac3 KO supernatant. Mechanistically, we identified that microRNA (miR)-322 and miR-503 were upregulated in Hdac3 KO MECs and Hdac3 epicardial KO hearts. Overexpression of miR-322 or miR-503 repressed FGF9 and IGF2 expression, while knockdown of miR-322 or miR-503 restored FGF9 and IGF2 expression in Hdac3 KO MECs. ConclusionsOur findings reveal a critical signaling pathway in which epicardial HDAC3 promotes compact myocardial growth by stimulating FGF9 and IGF2 through repressing miR-322/miR-503, providing novel insights in elucidating etiology of congenital heart defects, and conceptual strategies to promote myocardial regeneration.

developmental biology↗