Biology subjects

Gao, F.

Publications and source records attributed to Gao, F..

At least 91 records · Page 5Linked to original sources

bioRxiv2023

Aging Differentially Alters the Transcriptome and Landscape of Chromatin Accessibility in the Male and Female Mouse Hippocampus

Aging-related memory impairment and pathological memory disorders such as Alzheimers disease differ between males and females, and yet little is known about how aging-related changes in the transcriptome and chromatin environment differ between sexes in the hippocampus. To investigate this question, we compared the chromatin accessibility landscape and gene expression/alternative splicing pattern of young adult and aged mouse hippocampus in both males and females using ATAC-seq and RNA-seq. We detected significant aging-dependent changes in the expression of genes involved in immune response and synaptic function, and aging-dependent changes in the alternative splicing of myelin sheath genes. We found significant sex-bias in the expression and alternative splicing of hundreds of genes, including aging-dependent female-biased expression of myelin sheath genes and aging-dependent male-biased expression of genes involved in synaptic function. Aging was associated with increased chromatin accessibility in both male and female hippocampus, especially in repetitive elements, and with an increase in LINE-1 transcription. We detected significant sex-bias in chromatin accessibility in both autosomes and the X chromosome, with male-biased accessibility enriched at promoters and CpG-rich regions. Sex differences in gene expression and chromatin accessibility were amplified with aging, findings that may shed light on sex differences in aging-related and pathological memory loss. HighlightsO_LIAging amplifies sex differences in the transcriptome and chromatin accessibility of mouse hippocampus C_LIO_LIAging is associated with widespread changes in the transcriptome of mouse hippocampus, including in genes involved in immune response and synaptic function C_LIO_LIMyelin sheath-related genes in aged hippocampus show female-biased expression C_LIO_LIAlternative splicing of myelin sheath-related genes changes with aging in the hippocampus C_LIO_LISex-bias is evident in alternative splicing of nuclear and primary cilia genes C_LIO_LIAging in the hippocampus is associated with increased chromatin accessibility in both males and females C_LIO_LILINE-1 derived sequences are more accessible and LINE-1 transcripts are upregulated in the aged hippocampus of both males and females C_LIO_LIPromoter and CpG-rich regions show male-biased accessibility C_LI

neuroscience↗

bioRxiv2023

Conservation of the ancestral function of GTSF1 in transposon silencing in unicellular Paramecium

The PIWI-interacting RNA (piRNA) pathway is crucial for transposon repression and the maintenance of genomic integrity. Gametocyte specific factor 1 (GTSF1), an indispensable auxiliary factor of PIWI, was recently shown to potentiate the catalytic activity of PIWI in many metazoans. Whether the requirement of GTSF1 extends to PIWI proteins beyond metazoans is unknown. In this study, we identified a homolog of GTSF1 in the unicellular eukaryote Paramecium tetraurelia (PtGTSF1) and found that its role as a PIWI-cofactor is conserved. PtGTSF1 interacts with PIWI (Ptiwi09) and Polycomb Repressive Complex 2 (PRC2) and is essential for PIWI-dependent DNA elimination of transposons during sexual development. PtGTSF1 is crucial for the degradation of PIWI-bound small RNAs recognizing the organisms own genomic sequences. Without PtGTSF1, self-matching small RNAs are not degraded and results in an accumulation of H3K9me3 and H3K27me3, which disturbs transposon recognition and slows down their elimination. Our results demonstrate that the PIWI-GTSF1 interaction also exists in unicellular eukaryotes with the ancestral function of transposon silencing.

cell biology↗

bioRxiv2023

The role of neutrophil typing in homeostatic resilience protective model of inflammatory preconditioning

Sepsis is a systemic inflammatory response syndrome (SIRS) characterized by a dysregulated host response to infection that results in organ dysfunction. The response of neutrophils to early inflammation is critical, interferon regulatory factors 4 (IRF4) and interferon regulatory factors 5 (IRF5) are expressed in most cell types of the immune system, but the relationship between the role of IRF4 and IRF5 in preconditioning-protected septic peritonitis mouse model and neutrophils response remains unknown. In this study, we used an E.coli-induced septic peritonitis mouse model and zebrafish model to explore the relationship between neutrophil inflammation and IRF subtype changes in the process of septic peritonitis. Mechanistically, we found that the protein complex formed by polymorphonuclear neutrophils (PMN) and IRF5/MyD88 can secrete pro-inflammatory factors and directly kill invading bacteria. Author SummaryNumerous animal and clinical sepsis studies have shown that markedly impaired recruitment of neutrophils to sites of infection and failure to clear bacteria contribute to excessive inflammation and increased mortality in sepsis. In our previous work, we established an Escherichia coli (E.coli) lethal septic peritonitis model and a preconditioning-protected septic peritonitis mouse model. In the early stage of septic peritonitis, a large number of PMN infiltrate the peritoneal cavity, which produces an inflammatory response to invasive bacteria. In this study, the switching process between pro-inflammatory and anti-inflammatory attracted our attention. Our research shows that IRF5-IRF4 regulatory axis leads to a PMN phenotype switch in sepsis and the expression of IRF5 and IRF4 was related to PMN pro-inflammatory (N1 type) and anti-inflammatory (N2 type) phenotypes, respectively.

immunology↗

bioRxiv2023

The longitudinal single-cell panorama of cynomolgus monkey ovary throughout lifespan revealed a conserved ovarian clock between primates

Ovarian function is critical for female fertility and impacts reproductive longevity. It is of great importance to accurately predict the aging process within the ovary for fertility assessment and disease diagnosis. However, cell metrics for evaluating the ovarian aging rate are still in urgent need, and molecular insights into ovarian development and dysfunction during the primate life course are also limited. Here, we reported large-scale ovarian cell atlas of consecutive development of cynomolgus monkeys across 22 years with 20 time points, covering the foetal, newborn, prepubertal, pubertal, adult, perimenopausal and menopausal stages. We characterized and validated distinct molecular signatures of each cluster of cells within primate ovaries, and uncovered a previously undocumented RHOXF1-positive oocyte type during primordial follicle assembly in primates. Furthermore, the constitution and developmental trajectories of primate germ cells, granulosa cells and stromal / theca cells were also elucidated, and their precursors were identified. More importantly, dynamics of cellular compositions were unravelled through the ovarian development, featured by granulosa, epithelial, stromal, and immune cells that showed strong temporal heterogeneity spanning lifetime, whilst referred to the key function during the corresponding stages. Based on the correlations of each cell type with age and stage-specific molecular dynamics, we further constructed a transcriptomic ovarian clock which could perceive an effective biological age prediction of the ovary and further applied to humans. The findings reveal granulosa, epithelial, and stromal cells as the highest performance predictors of ovarian biological age, while highlighting the crucial role of AGE-RAGE and Relaxin signaling pathways in regulating ovarian aging. Our work not only provide valuable resource for obtaining insights into the development, aging and dysfunction of key organs, but also establish a transcriptomic clock to predict biological ovarian aging thus to be potential clinical implementation in future.

developmental biology↗

bioRxiv2023

BAC Transgenic Expression of Human TREM2-R47H Remodels Amyloid Plaques but Unable to Reprogram Plaque-associated Microglial Reactivity in 5xFAD Mice

BackgroundGenetic study of late-onset Alzheimers disease (AD) reveals that a rare Arginine-to-Histamine mutation at amino acid residue 47 (R47H) in Triggering Receptor Expressed on Myeloid Cells 2 (TREM2) results in increased disease risk. TREM2 plays critical roles in regulating microglial response to amyloid plaques in AD, leading to their clustering and activation surrounding the plaques. We previously showed that increasing human TREM2 gene dosage exerts neuroprotective effects against AD-related deficits in amyloid depositing mouse models of AD. However, the in vivo effects of the R47H mutation on human TREM2-mediated microglial reprogramming and neuroprotection remains poorly understood. MethodHere we created a BAC transgenic mouse model expressing human TREM2 with the R47H mutation in its cognate genomic context (BAC-TREM2-R47H). Importantly, the BAC used in this study was engineered to delete critical exons of other TREM-like genes on the BAC to prevent confounding effects of overexpressing multiple TREM-like genes. We crossed BAC-TREM2- R47H mice with 5xFAD [1], an amyloid depositing mouse model of AD, to evaluate amyloid pathologies and microglial phenotypes, transcriptomics and in situ expression of key TREM2-dosage dependent genes. We also compared the key findings in 5xFAD/BAC-TREM2-R47H to those observed in 5xFAD/BAC-TREM2 mice. ResultBoth BAC-TREM2 and BAC-TREM2-R47H showed proper expression of three splicing isoforms of TREM2 that are normally found in human. In 5xFAD background, elevated TREM2-R47H gene dosages significantly reduced the plaque burden, especially the filamentous type. The results were consistent with enhanced phagocytosis and altered NLRP3 inflammasome activation in BAC- TREM2-R47H microglia in vitro. However, unlike TREM2 overexpression, elevated TREM2- R47H in 5xFAD failed to ameliorate cognitive and transcriptomic deficits. In situ analysis of key TREM2-dosage dependent genes and microglial morphology uncovered that TREM2-R47H showed a loss-of-function phenotype in reprogramming of plaque-associated microglial reactivity and gene expression in 5xFAD. ConclusionOur study demonstrated that the AD-risk variant has a previously unknown, mixture of partial and full loss of TREM2 functions in modulating microglial response in AD mouse brains. Together, our new BAC-TREM2-R47H model and prior BAC-TREM2 mice are invaluable resource to facilitate the therapeutic discovery that target human TREM2 and its R47H variant to ameliorate AD and other neurodegenerative disorders.

neuroscience↗

bioRxiv2023

Spatiotemporal and single-cell atlas to dissect cell lineage differentiation and regional specific cell types in mouse ovary morphogenesis

Characterization of cell heterogeneity and molecular diversity using single-cell RNA sequencing has greatly enhanced our understanding of the ovarys dynamic differentiation processes. However, regional specification of ovarian cells for certain physiological functions remains largely unexplored in the physical space. Here, we combine spatial transcriptomics with single-cell RNA sequencing technologies to build a spatiotemporal and single-cell atlas of ovaries from fetal to adult stages. We construct the pseudotime trajectories of female germ cells and bipotential pregranulosa cells and define key regulatory transcription factors responsible for their differentiation processes. Specifically, we dissect the relationships between two waves of meiosis initiation, oogenesis processes and folliculogenesis. Moreover, we characterize the region-specific subtypes of granulosa cells and luteal cells and construct pseudo-space-time trajectories from granulosa cells to luteal cells. Notably, we identify small luteal cells, a novel cell type, which highly express Onecut2 and exclusively locate at the corpus luteum. Altogether, this study comprehensively delineates ovary development and regional specific ovarian cell types.

developmental biology↗

bioRxiv2023

Low- and high-grade glioma endothelial cells differentially regulate tumor growth

BackgroundA key feature distinguishing high-grade glioma (HGG) from low-grade glioma (LGG) is the extensive neovascularization and endothelial hyperproliferation. Prior work has shown that tumor endothelial cells (TEC) from HGG are molecularly and functionally distinct from normal brain EC and secrete higher levels of pro-tumorigenic factors that promote glioma growth and progression. However, it remains unclear whether TEC from LGG also express pro-tumorigenic factors, and to what extent they functionally contribute to glioma growth. MethodsTranscriptomic profiling was conducted on tumor endothelial cells (TEC) from grade II/III (LGG, IDH-mutant) and grade IV HGG (IDH-wildtype). Functional differences between LGG- and HGG-TEC were evaluated using growth assays, resistance to anti-angiogenic drugs and radiation therapy. Conditioned media and specific factors from LGG- and HGG-TEC were tested on patient-derived gliomasphere lines using growth assays in vitro and in co-transplantation studies in vivo in orthotopic xenograft models. ResultsLGG-TEC showed enrichment of extracellular matrix and cell cycle-related gene sets and sensitivity to anti-angiogenic therapy whereas HGG-TEC displayed an increase in immune response-related gene sets and anti-angiogenic resistance. LGG- and HGG-TEC displayed opposing effects on growth and proliferation of IDH-wildtype and mutant tumor cells. Asporin (ASPN), a small leucine rich proteoglycan enriched in LGG-TEC was identified as a growth suppressor of IDH-wildtype GBM by modulating TGFB1-GPM6A signaling. ConclusionsOur findings indicate that TEC from LGG and HGG are molecularly and functionally heterogeneous and differentially regulate the growth of IDH-wildtype and mutant tumors.

cancer biology↗

bioRxiv2023

MicroRNA-122-mediated liver detargeting enhances the tissue specificity of cardiac genome editing

BackgroundThe cardiac troponin T (Tnnt2) promoter is broadly utilized for cardiac specific gene expression, particularly via adeno-associated virus (AAV)-based gene transfer. However, these vectors drive lower-level ectopic gene expression in other tissues, most notably in the liver. Whether the AAV-Tnnt2 vectors remain tissue-specific in applications sensitive to low or transient gene expression, such as gene editing, remains unclear. MethodsThe tissue specificity of AAV9-Tnnt2 vectors was evaluated in mice using Cre-LoxP-based fluorescence reporters and CRISPR/Cas9-mediated somatic mutagenesis. CRISPR/Cas9-triggered AAV integration into host genome was further assessed by quantitative PCR. ResultsIn mice treated with AAV-Tnnt2-GFP, GFP signal was specifically observed in the heart by confocal imaging. However, when AAV-Tnnt2-Cre was administered to mice carrying LoxP-STOP-LoxP fluorescence reporters, the reporter signals were observed in up to 50% hepatic cells. Similarly, the AAV-Tnnt2-SaCas9 vector extensively edited the hepatic genome as measured by targeted amplicon-sequencing. Cas9-triggered AAV integration into the host genome was also validated in the liver. Inclusion of target sequences for microRNA-122, a highly expressed, liver-specific microRNA, in the AAV transgenes 3 untranslated region (3 UTR) markedly reduced ectopic transgene expression, genome editing and AAV integration in the liver. ConclusionsThe heavily used AAV-Tnnt2 system exhibits liver leakiness that severely impairs the cardiac specificity of AAV-based genetic manipulation. This problem can be mitigated via miR122-mediated liver detargeting.

physiology↗

bioRxiv2023

Structural Basis of σ54 Displacement and Promoter Escape in Bacterial Transcription

Gene transcription is a fundamental cellular process carried out by RNA polymerase (RNAP). Transcription initiation is highly regulated and in bacteria, transcription initiation is mediated by {sigma} factors, which recruit RNA polymerase (RNAP) to the promoter DNA region and facilitate open complex formation, where double stranded DNA is opening up into a transcription bubble and template strand DNA is in position for initial RNA synthesis. During initial transcription, DNA downstream of the transcription start site is fed into the active site of RNAP, whilst the upstream promoter DNA remains tethered to the RNAP via the {sigma} factor, resulting in a build-up of tension. In order to progress to the processive elongation state, RNAP must escape from the promoter, and displace or dissociate the {sigma} factor. Bacteria s factors can be broadly separated into two classes with the majority belong to the s70 class, represented by the {sigma}70 that regulate housekeeping genes. {sigma}54 forms a class on its own and regulate stress response genes. Extensive studies on {sigma}70 have revealed the molecular mechanisms of {sigma}70 promoter escape while how {sigma}54 transitions from initial transcription to elongation is unknown. Here we present a series of cryo electron microscopy structures of the {sigma}54 factor with progressively longer RNA, revealing the molecular mechanism of {sigma}54 displacement and promoter escape. Our data show that the initial instability is driven by DNA scrunching, and the final displacement steps are driven by both RNA extension and DNA scrunching.

biophysics↗

bioRxiv2023

Integrative mapping of spatial transcriptomic and amyloid pathology in Alzheimer's disease at single-cell resolution

Alzheimers disease (AD) is a complex neurodegenerative disorder that affects millions of people worldwide. Despite decades of research, the underlying molecular and cellular changes of AD remain unresolved, especially in terms of the spatial structure of gene expression changes that correlates with pathology, e.g. amyloid beta (A-beta) plaques. Recent advances in imaging-or sequencing-based single-cell spatial transcriptomics have allowed a systematic dissection of molecular and cell architectures in the brain and other tissues. In this study, we employed the recently developed Stereo-seq technology to spatially profile the whole-genome transcriptomics in the 5xFAD mouse model and established the methodology to analyze the specific neuronal transcriptomic changes spatially correlated with amyloid pathology at single cell resolution. More specifically, we developed a pipeline for integrative image- and non-image-based cell segmentation, VoxelMorph-based non-linear alignment, and Unet-based object detection to achieve reliable transcriptomics analysis at the single-cell resolution, and investigated the spatial relationship between diverse neuronal clusters and A-beta depositions. This work has demonstrated the potential of using the Stereo-seq technology as a powerful tool to investigate AD and other complex neurological disorders.

neuroscience↗

bioRxiv2023

Direct androgen receptor regulation of sexually dimorphic gene expression in the mammalian kidney

Mammalian organs exhibit distinct physiology, disease susceptibility and injury responses between the sexes. In the mouse kidney, sexually dimorphic gene activity maps predominantly to proximal tubule (PT) segments. Bulk RNA-seq data demonstrated sex differences were established from 4 and 8 weeks after birth under gonadal control. Hormone injection studies and genetic removal of androgen and estrogen receptors demonstrated androgen receptor (AR) mediated regulation of gene activity in PT cells as the regulatory mechanism. Interestingly, caloric restriction feminizes the male kidney. Single-nuclear multiomic analysis identified putative cis-regulatory regions and cooperating factors mediating PT responses to AR activity in the mouse kidney. In the human kidney, a limited set of genes showed conserved sex-linked regulation while analysis of the mouse liver underscored organ-specific differences in the regulation of sexually dimorphic gene expression. These findings raise interesting questions on the evolution, physiological significance, and disease and metabolic linkage, of sexually dimorphic gene activity.

developmental biology↗

bioRxiv2023

Capturing Spatiotemporal Signaling Patterns in Cellular Data with Geometric Scattering Trajectory Homology

Neural signals are high-dimensional, noisy, and dynamic, making it challenging to extract interpretable features linked to behavior or disease. We introduce Neurospectrum, a framework that encodes neural activity as latent trajectories shaped by spatial and temporal structure. At each timepoint, signals are represented on a graph capturing spatial relationships, with a learnable attention mechanism highlighting important regions. These are embedded using graph wavelets and passed through a manifold-regularized autoencoder that preserves temporal geometry. The resulting latent trajectory is summarized using a principled set of descriptors - including curvature, path signatures, persistent homology, and recurrent networks -that capture multiscale geometric, topological, and dynamical features. These features drive downstream prediction in a modular, interpretable, and end-to-end trainable framework. We evaluate Neurospectrum on simulated and experimental datasets. It tracks phase synchronization in Kuramoto simulations, reconstructs visual stimuli from calcium imaging, and identifies biomarkers of obsessive-compulsive disorder in fMRI. Across tasks, Neurospectrum uncovers meaningful neural dynamics and outperforms traditional analysis methods.

bioinformatics↗

bioRxiv2023

Alpaca Single B Cell Interrogation and Heavy-Chain-Only Antibody Discovery on an Optofluidic Platform

In vivo discovery approaches for single domain antibodies such as VHH have been limited by the lack of methodologies available for camelid B cell interrogation. Here, we report a novel application of the Berkeley Lights Beacon(R) optofluidic platform to the discovery of heavy-chain-only antibodies by screening single B cells from alpacas immunized with two different targets. Custom methods for alpaca B cell enrichment, culture, on-Beacon IgG2/3 detection, and sequencing were developed and used to discover target-specific VHH candidates from an alpaca immunized with either human prostate specific membrane antigen (PSMA) or a second blinded target, in a proof-of-concept study. PSMA-specific VHH hits discovered on the Beacon were recombinantly expressed as VHH-Fc, purified, and characterized using label-free techniques. All but one VHH-Fc bound PSMA with a single-digit nanomolar affinity, and four candidates were successfully humanized in silico using a rapid bulk humanization approach. In addition, next-generation repertoire sequencing was performed at longitudinal timepoints after immunization, uncovering additional variants within the clonal lineages of the validated hits discovered on the Beacon platform. The establishment of this single B cell VHH discovery workflow extends the powerful Beacon technology to enable rapid discovery of VHH directly from natural camelid immune repertoires.

immunology↗

bioRxiv2023

Study on the expression of RAD51 in non-small cell lung cancer based on bioinformatics

ObjectiveRAD51 is a DNA repair protein, which participates in the resistance of tumor cells to radiotherapy/chemotherapy and reduces the therapeutic effect. Based on the research status of RAD51 at home and abroad and the analysis of online databases, the purpose of this study was to explore the relationship between RAD51 expression and clinical patient survival and prognosis. It is expected to provide a new theoretical basis for the clinical treatment of lung cancer patients, help identify new molecular markers, and provide new targets for the biological therapy of lung cancer patients. Methodsthe RNA Seq data of NSCLC in TCGA database were downloaded, and the expression of RAD51 gene in NSCLC and normal tissues were analyzed by R studio software. Clinical correlation analysis revealed its correlation with the clinicopathological characteristics of non-small cell lung cancer. Survival analysis was used to evaluate the relationship between the expression level and the prognosis of patients. CIBERSORT and TIMER were used to evaluate the correlation between the expression level of CIBERSORT and immune cells in the tumor microenvironment. The protein expression level of RAD51 in non-small cell lung cancer was evaluated by HPA. ResultsRAD51 was highly expressed in lung cancer (p<0.05), which was significantly associated with poor prognosis of lung adenocarcinoma patients (p=0.0026), but not with lung squamous cell carcinoma (p=0.76). The expression level of RAD51 mRNA was associated with different pathological stages of lung adenocarcinoma (p=0.000528), but not with different pathological stages of lung squamous cell carcinoma (p=0.326). RAD51 was positively correlated with the expression of TP53, BRAF, EGFR, MYC, PD-L1, and KRAS (p<0.001). In lung adenocarcinoma, lung cancer cells were positively correlated with CD4+memory T cells, CD8+T cells, and M1 macrophages (p<0.001). In lung squamous cell carcinoma, tumor cells were positively correlated with M1 macrophages (p<0.05), but not with CD4+T memory cells, CD8+T cells, M2 macrophages, and Tregs cells (p>0.05). The HPA database indicated that RAD51 protein was positive in non-small cell lung cancer. ConclusionRAD51 is highly expressed in non-small cell lung cancer and is associated with poor prognosis. RAD51 can be used as a biomarker related to the prognosis of non-small cell lung cancer and is expected to become a target for the diagnosis and treatment of non-small cell lung cancer.

bioinformatics↗

bioRxiv2023

Enhanced transmissibility of XBB.1.5 is contributed by both strong ACE2 binding and antibody evasion

SARS-CoV-2 recombinant subvariant XBB.1.5 is growing rapidly in the United States, carrying an additional Ser486Pro substitution compared to XBB.1 and outcompeting BQ.1.1 and other XBB sublineages. The underlying mechanism for such high transmissibility remains unclear. Here we show that XBB.1.5 exhibits a substantially higher hACE2-binding affinity compared to BQ.1.1 and XBB/XBB.1. Convalescent plasma samples from BA.1, BA.5, and BF.7 breakthrough infection are significantly evaded by both XBB.1 and XBB.1.5, with XBB.1.5 displaying slightly weaker immune evasion capability than XBB.1. Evusheld and Bebtelovimab could not neutralize XBB.1/XBB.1.5, while Sotrovimab remains weakly reactive and notably, SA55 is still highly effective. The fact that XBB.1 and XBB.1.5 showed comparable antibody evasion but distinct transmissibility suggests enhanced receptor-binding affinity would indeed lead to higher growth advantages. The strong hACE2 binding of XBB.1.5 could also enable its tolerance of further immune escape mutations, which should be closely monitored.

immunology↗

bioRxiv2023

Integrated Bioinformatics Analysis Reveals APEX1 as a Potential Biomarker for Septic Cardiomyopathy

BackgroundA severe threat to human health is septic cardiomyopathy (SCM), a condition with high morbidity and fatality rates throughout the world. However, effective treatment targets are still lacking. Therefore, it is necessary and urgent to find new therapeutic targets of SCM. MethodsWe obtained gene chip datasets GSE79962, GSE53007 and GSE13205 from the GEO database. After data normalization, GSE79962 was used as the training set and screened for differentially expressed genes (DEGs). Then, the module genes most related to SCM were identified via weighted gene co-expression network analysis (WGCNA). The potential target genes of SCM were obtained by intersection of DEGs and WGCNA module genes. We further performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) function and pathway enrichment analyses on these genes. In addition, potential biomarkers were screened using machine learning algorithms and receiver operating characteristic (ROC) curve analysis. Gene Set Enrichment Analysis (GSEA) was then used to explore the mechanisms underlying the involvement of potential biomarkers. Finally, we validated the obtained potential biomarkers in test sets (GSE53007 and GSE13205). ResultsA total of 879 DEGs were obtained by differential expression analysis. WGCNA generated 2939 module genes significantly associated with SCM. The intersection of the two results produced 479 potential target genes. Enrichment analysis showed that these genes were involved in the positive regulation of protein kinase A signaling, histone deacetylase activity and T cell receptor signaling pathway, etc. Then, the results of machine learning algorithm and ROC analysis revealed that NEIL3, APEX1, KCNJ14 and TKTL1 had good diagnostic efficacy. GSEA results showed that these genes involved in signaling pathways mainly enriched in base excision repair and glycosaminoglycan biosynthesis pathways, etc. Notably, APEX1 was significantly up-regulated in the SCM groups of the two test sets and the AUC (area under curve) > 0.85. ConclusionsOur study identified NEIL3, APEX1, KCNJ14 and TKTL1 may play important roles in the pathogenesis of SCM through integrated bioinformatics analysis, and APEX1 may be a novel biomarker with great potential in the clinical diagnosis and treatment of SCM in the future.

bioinformatics↗

bioRxiv2022

Cell-specific occupancy dynamics between the pioneer-like factor Opa/ZIC and Ocelliles/OTX regulate early head development in embryos

During development, embryonic patterning systems direct a set of initially uncommitted pluripotent cells to differentiate into a variety of cell types and tissues. A core network of transcription factors, such as Zelda/POU5F1, Odd-paired (Opa)/ZIC and Ocelliless (Oc)/OTX, are conserved across animals. While Opa is essential for a second wave of zygotic activation after Zelda, it is unclear whether Opa drives head cell specification past gastrulation onset, in the Drosophila embryo. Our hypothesis is that Opa and Oc are interacting with distinct cis-regulatory regions for shaping cell fates in the embryonic head. Using super-resolution microscopy and epigenomic meta-analysis of single cell RNAseq datasets we find that opas and ocs overlapping expression domains are dynamic in the head region, with both factors being simultaneously transcribed at the blastula stage. However, analysis of single-embryo RNAseq data reveals a subgroup of Opa-bound genes to be Opa-independent in the cellularized embryo. Interrogation of these genes against Oc ChIPseq combined with in situ data, suggests that Opa is competing with Oc for the regulation of a subgroup of genes later in gastrulation. Specifically, we find that Oc binds to late, head-specific enhancers independently and activates them in a head-specific wave of zygotic transcription, suggesting distinct roles for Oc in the blastula and gastrula stages.

developmental biology↗

bioRxiv2022

Transcriptomic landscape and potential therapeutic targets for human testicular aging revealed by single-cell RNA sequencing

BackgroundTesticular aging is known to cause male age-related fertility decline and hypogonadism, but the underlying molecular mechanisms remain unclear. MethodsWe survey the single-cell transcriptomic landscape of testes from young and old men and examine age-related changes in germline and somatic niche cells. ResultsIn-depth evaluation of the gene expression dynamics of germline cells reveals that disturbance of base-excision repair pathway is a major feature of aging spermatogonial stem cells (SSCs), suggesting that defective DNA repair of SSCs may serve as a potential driver for increased de novo germline mutations with age. Further analysis of aging-associated transcriptional changes shows that stress-related changes and apoptotic signaling pathway accumulate in aged somatic cells. We identify age-related impairment of redox homeostasis in aged Leydig cells and find that pharmacological treatment with antioxidants alleviate this cellular dysfunction of Leydig cells and promote testosterone production. Lastly, our results reveal that decreased pleiotrophin (PTN) signaling is a contributing factor for testicular aging. ConclusionsThese findings provide a comprehensive understanding of the cell-type-specific mechanisms underlying human testicular aging at a single-cell resolution, and suggest potential therapeutic targets that may be leveraged to address age-related male fertility decline and hypogonadism. FundingThis work was supported by the National Key Research and Development Program of China (2018YFA0107200, 2018YFA0801404), the National Natural Science Foundation of China (32130046, 82171564, 82101669, 81871110, 81971759), the Key Research and Development Program of Guangdong Province (2019B020234001), the Natural Science Foundation of Guangdong Province, China (2022A1515010371), the Major Project of Medical Science and Technology Development Research Center of National Health Planning Commission, China (HDSL202001000), the Open Project of NHC Key Laboratory of Male Reproduction and Genetics (Family Planning Research Institute of Guangdong Province) (KF202001), the Guangdong Province Regional Joint Fund-Youth Fund Project (2021A1515110921), the China Postdoctoral Science Foundation (2021M703736).

developmental biology↗