Biology subjects

Gao, L.

Publications and source records attributed to Gao, L..

At least 91 records · Page 5Linked to original sources

bioRxiv2024

ZFAND6 is a subunit of a TRAF2-cIAP E3 ubiquitin ligase complex essential for mitophagy

The A20 ubiquitin-editing enzyme is a critical negative regulator of NF-{kappa}B signaling and inflammation. While the mechanisms by which A20 restricts inflammation have been extensively studied, the physiological functions of other A20-like proteins are largely unknown. Here, we report a previously unknown function of the A20 family member ZFAND6 as a novel regulator of mitophagy. Deletion of ZFAND6 in bone marrow-derived macrophages (BMDMs) promotes the upregulation of reactive oxygen species (ROS) and the accumulation of damaged mitochondria due to impaired mitophagy. Consequently, mitochondrial DNA (mtDNA) is released into the cytoplasm, triggering the spontaneous expression of interferon-stimulated genes (ISGs) in a cGAS-STING dependent manner, which leads to enhanced viral resistance in vitro. However, mice lacking ZFAND6 exhibit increased morbidity and mortality upon challenge with a sublethal dose of influenza A virus (IAV) due to impaired myeloid cell activation and diminished type I IFN signaling. Mechanistically, ZFAND6 bridges a TRAF2-cIAP1 interaction, which is required for the initiation of ubiquitin-dependent mitophagy. Our results suggest that ZFAND6 is a subunit of a TRAF2-cIAP E3 ligase complex that promotes the clearance of damaged mitochondria by mitophagy to maintain mitochondrial homeostasis.

immunology↗

bioRxiv2024

NPRL2 gene therapy induces effective antitumor immunity in KRAS/STK11 mutant anti-PD1 resistant metastatic non-small cell lung cancer (NSCLC) in a humanized mouse model

NPRL2/TUSC4 is a tumor suppressor gene whose expression is reduced in many cancers including NSCLC. Restoration of NPRL2 expression in cancer cells induces DNA damage which leads to cell cycle arrest and apoptosis. We investigated the antitumor immune responses to NPRL2 gene therapy in aPD1R/ KRAS/STK11mt NSCLC in a humanized mouse model. Humanized mice were generated by transplanting fresh human cord blood derived CD34 stem cells into sub-lethally irradiated NSG mice. Lung metastases were developed from KRAS/STK11mt/aPD1R A549 cells in humanized mice and treated with NPRL2 gene-loaded cationic lipid nanoparticles (DOTAP-NPRL2) with or without pembrolizumab (aPD1). NPRL2 treatment reduced lung metastases significantly, whereas pembrolizumab was ineffective. The antitumor effect was greater in humanized than non-humanized mice suggesting that an immune response contributed to antitumor activity. NPRL2 combined with pembrolizumab was not synergistic in the KRAS/STK11mt/aPD1R tumors but was synergistic in the KRASwt/aPD1S H1299 tumors. Consistent with the A549 humanized mouse model, NPRL2 showed a significantly strong antitumor effect on KRASmt/aPD1R LLC2 syngeneic tumors, whereas aPD1 was ineffective. The antitumor effect of NPRL2 was correlated with increased infiltration of human cytotoxic immune cells and Ag-presenting HLA-DR+ DC, CD11c DC, and downregulation of myeloid and regulatory T cells in the TME. The antitumor effect of NPRL2 was significantly abolished upon in-vivo depletion of CD8 T, macrophages, and CD4 T cells. However, the antitumor effect remained unaffected upon in-vivo depletion of NK cells. A distinct pattern of gene expression profile was found in lung met after NPRL2 treatment in humanized mice. The expression of genes associated with T cell functions, including IFN{gamma}, CD8b, CD7, TNFSF18, ITGA1, GATA3, and TBX21 was significantly increased, whereas the expression of genes associated with negative regulation of T cell functions, including FOXP3, TGFB1, TGFB2, and IL-10RA were strongly inhibited upon NPRL2 treatment. NPRL2 downregulated the expression of T cell co-inhibitory molecules, including CTLA4, ICOS, LAG3, PDCD1, CD274, IDO1, PDCD1LG2, CD47, and KLRB1. Tumors established from NPRL2 stably expressing cells in humanized mice exhibited significantly slower growth compared to controls. TME analysis showed an increased presence of human CD45+, CD3+ T, CD8+ T cells, and HLA-DR+ dendritic cells and a decreased percentage of Treg, CD3+PD1+T cells, MDSC, and CD163+ TAM in NPRL2-expressing tumors. In-vitro, NPRL2 stably expressing cells showed a substantial increase in colony formation inhibition and heightened sensitivity to carboplatin in colony formation, apoptosis, and PARP cleavage assays. Stable expression of NPRL2 resulted in the downregulation of MAPK and AKT-mTOR growth signaling through inhibition of pAKT, pmTOR, pPRAS40, p4E-BP1, and pS6 expression. Taken together, these data suggest that NPRL2 gene therapy induces antitumor activity on KRAS/STK11mt/aPD1R tumors through DC-mediated antigen presentation and cytotoxic immune cell activation.

cancer biology↗

bioRxiv2024

Kilohertz volumetric imaging of in-vivo dynamics using squeezed light field microscopy

Volumetric functional imaging of transient cellular signaling and motion dynamics poses a significant challenge to current microscopy techniques, primarily due to limitations in hardware bandwidth and the restricted photon budget within short exposure times. In response to this challenge, we present squeezed light field microscopy (SLIM), a computational imaging method that enables rapid detection of high-resolution three-dimensional (3D) light signals using only a single, low-format camera sensor area. SLIM pushes the boundaries of 3D optical microscopy, achieving over one thousand volumes per second across a large field of view of 550 m in diameter and 300 m in depth with a spatial resolution of 3.6 m laterally and 6 m axially. Using SLIM, we demonstrated blood cell velocimetry across the embryonic zebrafish brain and in a free-moving tail exhibiting high-frequency swinging motion. The millisecond temporal resolution also enables accurate voltage imaging of neural membrane potentials in the leech ganglion, and in the hippocampus of behaving mice. These results collectively establish SLIM as a versatile and robust imaging tool for high-speed microscopy applications.

bioengineering↗

bioRxiv2024

Complete telomere-to-telomere assemblies of two sorghum genomes to guide biological discovery

Sorghum is a C4 crop well-known for its high efficiency of biomass accumulation and adaptation to drought and hot environments. This study reports the assembly of complete genome sequence of two sorghum genomes using a combination of ultra-long reads from Oxford Nanopore Technology, high-fidelity long reads from Pacbio and Hi-C reads. The accuracy and completeness of the T2T assemblies were comprehensively validated using a range of parameters, including coverage depth assessment, BUSCO, LTR assembly index, ect. Our T2T assembly of BTx623 identified 36.25 Mb of new sequence, in addition to dozens of misoritation and mispositioning of large DNA segments in the BTx623-v3. Correcting these assembly errors in the reference genome is critical for exploiting genetic information in these complex regions in sorghum. Comparison of the two T2T genomes shed new insights on variation of centromeres in sorghum. The two high-quality T2T genomes represent an important resource for sorghum improvement and gene discovery. They would serve as the new reference genomes to unlock the full potential of global sequence variation of this valuable crop.

genomics↗

bioRxiv2024

Secondary microglia formation center in the human fetal brain

Yolk sac-derived microglia migrate and populate the brain during development, constituting 10-15% of the total brain cells. The human brain is the largest and most complex brain with the highest cognitive capacity among all species. Therefore, the limitations of rodent brain studies in interpreting the human brain are evident. By co-immunostaining microglia in 50 {micro}m fetal brain sections from 7.5 to 16 gestational weeks (gw) and combining high-resolution scanning, we identified a highly proliferative microglia aggregate (0.108-2.129 mm2) that expanded in Downs Syndrome fetal brain (4.168 mm2) and was located near the ganglion eminence, in which Ki67+ microglia accounted for 23.4% of total microglia compared to 6.3% in other brain regions. The microglia in the aggregates lack phagocytic bulbs, membrane ruffles, and long/branching processes compared to microglia in other brain regions. Introducing human microglia into cortical organoids, but not macrophages, replicated proliferative microglial aggregates on the brain organoid surface and sufficiently penetrated deeper regions of the cortical organoids. Penetrating microglia display phagocytic capacity, enhance immunity, and accelerate the maturation of brain organoids. The large proliferative microglial aggregate may be a unique secondary microglial formation center in the human fetal brain to compensate for the enormous microglial demands during brain expansion.

neuroscience↗

bioRxiv2024

Machine learning identifies cell-free DNA 5-hydroxymethylation biomarkers that detect occult colorectal cancer in PLCO Screening Trial subjects

BackgroundColorectal cancer (CRC) is a leading cause of cancer-related mortality, and CRC detection through screening improves survival rates. A promising avenue to improve patient screening compliance is the development of minimally-invasive liquid biopsy assays that target CRC biomarkers on circulating cell-free DNA (cfDNA) in peripheral plasma. In this report, we identify cfDNA biomarker candidate genes bearing the epigenetic mark 5-hydroxymethylcytosine (5hmC) that diagnose occult CRC up to 36 months prior to clinical diagnosis using the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial samples. MethodsArchived PLCO Trial plasma samples containing cfDNA were obtained from the National Cancer Institute (NCI) biorepositories. Study subjects included those who were diagnosed with CRC within 36 months of blood collection (i.e., case, n = 201) and those who were not diagnosed with any cancer during an average of 16.3 years of follow-up (i.e., controls, n = 402). Following the extraction of 3 - 8 ng cfDNA from less than 300 microliters plasma, we employed the sensitive 5hmC-Seal chemical labeling approach, followed by next-generation sequencing (NGS). We then conducted association studies and machine-learning modeling to analyze the genome-wide 5hmC profiles within training and validation groups that were randomly selected at a 2:1 ratio. ResultsDespite the technical challenges associated with the PLCO samples (e.g., limited plasma volumes, low cfDNA amounts, and long archival times), robust genome-wide 5hmC profiles were successfully obtained from these samples. Association analyses using the Cox proportional hazards models suggested several epigenetic pathways relevant to CRC development distinguishing cases from controls. A weighted Cox model, comprised of 32-associated gene bodies, showed predictive detection value for CRC as early as 24-36 months prior to overt tumor presentation, and a trend for increased predictive power was observed for blood samples collected closer to CRC diagnosis. Notably, the 5hmC-based predictive model showed comparable performance regardless of sex and self-reported race/ethnicity, and significantly outperformed risk factors such as age and obesity according to BMI (body mass index). Additionally, further improvement of predictive performance was achieved by combining the 5hmC-based model and risk factors for CRC. ConclusionsAn assay of 5hmC epigenetic signals on cfDNA revealed candidate biomarkers with the potential to predict CRC occurrence despite the absence of clinical symptoms or the availability of effective predictors. Developing a minimally-invasive clinical assay that detects 5hmC-modified biomarkers holds promise for improving early CRC detection and ultimately patient survival through higher compliance screening and earlier intervention. Future investigation to expand this strategy to prospectively collected samples is warranted.

genomics↗

bioRxiv2024

Host 5-HT affects Plasmodium transmission in mosquitoes via modulating mosquito mitochondrial homeostasis

Malaria parasites hijack the metabolism of their mammalian host during the blood-stage cycle. Anopheles mosquitoes depend on mammalian blood to survive and to transmit malaria parasites. However, it remains understudied whether changes in host metabolism affect parasite transmission in mosquitoes. In this study, we discovered that Plasmodium infection significantly decreased the levels of the tryptophan metabolite, 5-hydroxytryptamine (5-HT), in both humans and mice. The reduction led to the decrease of 5-HT in mosquitoes. Oral supplementation of 5-HT to Anopheles stephensi enhanced its resistance to Plasmodium berghei infection by promoting the generation of mitochondrial reactive oxygen species. This effect was due to the accumulation of dysfunctional mitochondria caused by 5-HT-mediated inhibition of mitophagy. Elevating 5-HT levels in mouse serum significantly suppressed parasite infection in mosquitoes. In summary, our data highlight the critical role of metabolites in animal blood in determining the capacity of mosquitoes to control parasite infection.

pathology↗

bioRxiv2024

Tcf12 controls dynamic calvarial bone growth and motor learning in mice

Heterozygous loss-of-function mutations of TCF12 and TWIST1 can each cause craniosynostosis and neurodevelopmental delay in humans. Twist1-Tcf12 interaction plays an important role in regulating suture development. Although the molecular and cellular mechanisms underlying craniosynostosis and neurocognitive dysfunctions in Twist1+/- mice have been studied, less information on the role of Tcf12 in these defects is available. To investigate the functional mechanism of Tcf12 in regulating skull and brain development, we analyzed the skull shape of Wnt1-Cre;Mesp1-Cre;Tcf12fl/fl mice and found that, despite mild coronal synostosis, their skull shape appears to be similar to that of controls. We also found evidence of impaired motor learning ability in Tcf12 mutant mice. Furthermore, loss of Tcf12 in neural crest lineage leads to upregulated Runx2 expression in the calvarial mesenchyme and posterior expansion of the frontal bone in Wnt1-Cre;Tcf12fl/fl mice. Mechanistically, we show that Lmx1b is a direct downstream target of Tcf12 for the regulation of osteogenic differentiation in the calvarial mesenchyme during embryonic development. Importantly, overexpression of Lmx1b inhibits osteogenic differentiation in the calvarial mesenchyme of Wnt1-Cre;Tcf12fl/fl mice, indicating Tcf12s regulation of Lmx1b expression is crucial for controlling osteogenesis during calvarial bone development. Our study suggests that Tcf12 expression in the brain is crucial for motor learning. Moreover, this study establishes a new molecular mechanism underlying regulation of calvarial bone formation. Author SummaryCraniosynostosis is characterized by premature fusion of cranial sutures and associated with abnormal skull growth, delayed brain development, and often impaired brain functions. Loss-of-function mutation of TCF12 can cause coronal synostosis and neurodevelopmental delay in humans. In developing mouse sutures, Tcf12 is essential for maintaining the boundary between sutural and osteogenic cells. However, roles of Tcf12 in skull formation and brain development have not been fully investigated. In this study, we show that loss of Tcf12 leads to brain abnormalities even in the absence of coronal synostosis and that frontal bone expansion results from upregulated osteogenic differentiation in the calvarial mesenchyme in mice. Furthermore, we identify Lmx1b as a downstream target of Tcf12 for the regulation of osteogenic differentiation in the calvarial mesenchyme during frontal bone development. Our findings highlight the role of Tcf12 in the development of calvarial bones and provide new insight into molecular mechanisms for regulation of calvarial bone formation.

developmental biology↗

bioRxiv2023

DNA sensor ABCF1 phase separates with cccDNA to inhibit HBV replication

Objectives: Hepatitis B virus (HBV) covalently closed circular DNA (cccDNA) contributes to viral persistence and recurrence. However, it is still less known how the host immune system responds to cccDNA and suppresses HBV replication. Therefore, it is essential to explore host proteins that interact with cccDNA and efficiently suppress HBV replication. Design: The interaction of cccDNA and ABCF1 was assessed by ChIP and pull-down assay. HBV replication was assessed in different cell models, including cccDNA surrogate-transfected and HBV-infected hepatocytes models. Phase separation of recombinant ABCF1 fusion proteins with cccDNA was observed by fluorescence microscopy. Results: Our data found that ABCF1 interacts with cccDNA to form phase-separated condensates via the poly-glutamine (PolyQ) of N-terminal intrinsically disordered low-complexity domain (LCD). Subsequently, ABCF1-cccDNA phase separation not only activates the type I/III interferon (IFN-I/III) pathway but also prevents Pol II accumulation on cccDNA to inhibit HBV transcription. Conclusions: Taken together, our study showed that ABCF1 acts as an antiviral restriction factor of HBV cccDNA by phase-separation-driven innate immune signaling and transcription inhibition. These findings shed new light on the understanding of host defense against cccDNA and provide a novel promising therapeutic strategy for HBV infection.

microbiology↗

bioRxiv2023

Single-molecule Ligand Response of Guanidine-IV riboswitch

Riboswitches represent a class of non-coding RNA that possess the unique ability to specifically bind ligands and, in response, regulate gene expression. A recent report unveiled a type of riboswitch, known as the guanidine-IV riboswitch, which responds to guanidine levels to regulate downstream genetic transcription. However, the precise molecular mechanism through which the riboswitch senses its target ligand and undergoes conformational changes remain elusive. This gap in understanding has impeded the potential applications of this riboswitch. To bridge this knowledge gap, our study investigated the conformational dynamics of the guanidine-IV riboswitch RNA upon ligand binding. We employed single-molecule fluorescence resonance energy transfer (smFRET) to dissect the behaviors of the aptamer, terminator, and full-length riboswitch. Our findings indicated that the aptamer portion exhibited higher sensitivity to guanidine compared to the terminator and full-length constructs. Additionally, we utilized Position-specific Labelling of RNA (PLOR) combined with smFRET to observe, at the single-nucleotide and single-molecule level, the structural transitions experienced by the guanidine-IV riboswitch during transcription. Notably, we discovered that the influence of guanidine on the riboswitch RNAs conformations was significantly reduced after the transcription of 88 nucleotides. Furthermore, we proposed a folding model for the guanidine-IV riboswitch in the absence and presence of guanidine, thereby providing insights into its ligand-response mechanism. Impact statementThe aptamer domain of the guanidine-IV riboswitch exhibits a greater sensitivity to guanidine, surpassing that observed in both the terminator and full-length riboswitch. A finely-tuned transcriptional window of the guanidine-IV riboswitch was detected to be responsive to ligand binding. Furthermore, a folding-function model for the guanidine-IV riboswitch under both guanidine-free and guanidine-present conditions offers valuable insights into its regulatory mechanism.

biochemistry↗

bioRxiv2023

Accurate RNA velocity estimation based on multibatch network reveals complex lineage in batch scRNA-seq data

RNA Velocity, as an extension of trajectory inference, is an effective method for understanding cell development using single-cell RNA sequencing (scRNA-seq) experiments. Nevertheless, existing RNA velocity methods are limited by the batch effect because they cannot directly correct for batch effects in the input data, which comprises spliced and unspliced matrices in a proportional relationship. This limitation can lead to incorrect velocity graphs. This paper introduces VeloVGI, which addresses this issue innovatively in two key ways. Firstly, it employs an optimal transport (OT) and mutual nearest neighbor (MNN) approach to construct neighbors in batch data. This strategy overcomes the limitations of existing methods that are affected by the batch effect. Secondly, VeloVGI improves upon VeloVIs velocity estimation by incorporating the graph structure into the encoder for more effective feature extraction. The effectiveness of VeloVGI was demonstrated in various scenarios, including the mouse spinal cord and olfactory bulb, as well as on several public datasets. The results showed that VeloVGI outperformed other methods in terms of metric performance. Significance StatementRNA Velocity is an effective method for understanding cell development using single-cell RNA sequencing (scRNA-seq) experiments. This paper introduces VeloVGI, which addresses this batch effect issue for existing RNA velocity methods. The effectiveness of VeloVGI was demonstrated in various scenarios, including the mouse spinal cord and olfactory bulb, as well as on several public datasets. The results showed that VeloVGI outperformed other methods in terms of metric performance.

bioinformatics↗

bioRxiv2023

Water inside the selectivity filter of a K+ ion channel: structural heterogeneity, picosecond dynamics, and hydrogen-bonding

Water inside biological ion channels regulates the key properties of these proteins such as selectivity, ion conductance, and gating. In this Article we measure the picosecond spectral diffusion of amide I vibrations of an isotope labeled KcsA potassium channel using two-dimensional infrared (2D IR) spectroscopy. By combining waiting time (100 - 2000 fs) 2D IR measurements of the KcsA channel including 13C18O isotope labeled Val76 and Gly77 residues with molecular dynamics simulations, we elucidated the site-specific dynamics of water and K+ ions inside the selectivity filter of KcsA. We observe inhomogeneous 2D lineshapes with extremely slow spectral diffusion. Our simulations quantitatively reproduce the experiments and show that water is the only component with any appreciable dynamics, whereas K+ ions and the protein are essentially static on a picosecond timescale. By analyzing simulated and experimental vibrational frequencies, we find that water in the selectivity filter can be oriented to form hydrogen bonds with adjacent, or non-adjacent carbonyl groups with the reorientation timescales being three times slower and comparable to that of water molecules in liquid, respectively. Water molecules can reside in the cavity sufficiently far from carbonyls and behave essentially like "free" gas-phase-like water with fast reorientation times. Remarkably, no interconversion between these configurations were observed on a picosecond timescale. These dynamics are in stark contrast with liquid water that remains highly dynamic even in the presence of ions at high concentrations.

biophysics↗

bioRxiv2023

Prdm1 Positively Regulates Liver Type 1 ILCs Cancer Immune Surveillance and Preserves Functional Heterogeneity

Group 1 innate lymphoid cells (ILCs) comprise conventional natural killer (cNK) cells and type 1 innate lymphoid cells (ILC1s). The main functions of liver cNK cells and ILC1s not only include directly killing target cells but also regulating local immune microenvironment of the liver through the secretion of cytokines. Uncovering the intricate mechanisms by which transcriptional factors regulate and influence the functions of liver cNK cells and ILC1s, particularly within the context of liver tumors, presents a significant opportunity to amplify the effectiveness of immunotherapies against liver malignancies. Using Ncr1-drived conditional knockout mouse model, our study reveals the regulatory role of Prdm1 in shaping the composition and maturation of cNK cells. Although Prdm1 did not affect the killing function of cNK cells in an in vivo cytotoxicity model, a significant increase in cancer metastasis was observed in Prdm1 knockout mice. Interferon-gamma (IFN-{gamma}), granzyme B, and perforin secretion decreased significantly in Prdm1 deficient cNK cells and liver ILC1s. scRNA sequencing data also provided evidences that Prdm1 maintains functional subsets of cNK cells and liver ILC1s and facilitates communications between cNK cells, liver ILC1s and macrophages. The present study unveiled a novel regulatory mechanism of Prdm1 in cNK cells and liver ILC1s, showing promising potential for developing innovative immune therapy strategies against liver cancer. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=114 SRC="FIGDIR/small/563222v4_ufig1.gif" ALT="Figure 1"> View larger version (22K): org.highwire.dtl.DTLVardef@194f9forg.highwire.dtl.DTLVardef@1ba5b0eorg.highwire.dtl.DTLVardef@1b02121org.highwire.dtl.DTLVardef@4f0385_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2023

scDILT: a model-based and constrained deep learning framework for single-cell Data Integration, Label Transferring, and clustering

The scRNA-seq technology enables high-resolution profiling and analysis of individual cells. The increasing availability of datasets and advancements in technology have prompted researchers to integrate existing annotated datasets with newly sequenced datasets for a more comprehensive analysis. It is important to ensure that the integration of new datasets does not alter the cell clusters defined in the old/reference datasets. Although several methods have been developed for scRNA-seq data integration, there is currently a lack of tools that can simultaneously achieve the aforementioned objectives. Therefore, in this study, we have introduced a novel tool called scDILT, which leverages a conditional autoencoder and deep embedding clustering to effectively remove batch effects among different datasets. Moreover, scDILT utilizes homogeneous constraints to preserve the cell-type/clustering patterns observed in the reference datasets, while employing heterogeneous constraints to map cells in the new datasets to the annotated cell clusters in the reference datasets. We have conducted extensive experiments to demonstrate that scDILT outperforms other methods in terms of data integration, as confirmed by evaluations on simulated and real datasets. Furthermore, we have shown that scDILT can be successfully applied to integrate multi-omics single-cell datasets. Based on these findings, we conclude that scDILT holds great promise as a tool for integrating single-cell datasets derived from different batches, experiments, times, or interventions.

bioinformatics↗

bioRxiv2023

Novel hepatocellular carcinomas (HCC) Subtype-Specific Biomarkers

IntroductionHepatocellular carcinoma (HCC), the most common form of liver cancer, is a global health concern and a leading cause of cancer-related deaths. HCC accounts for a significant portion of liver cancers and has low survival rates of 5% to 30%, especially for HCC patients with a survival rate of 15%. Early detection is challenging due to the absence of symptoms in the early stages. The complexity and molecular diversity of HCC contribute to its poor prognosis. Understanding its molecular subtypes and mechanisms is crucial for improved management. MethodsThe study utilized publicly available data to investigate the potential diagnostic and prognostic biomarkers for hepatocellular carcinoma (HCC) based on their transcript per million (TPM) expression levels. A dataset of 407 HCC patient profiles was analyzed for survival trends and gene expression patterns. ResultsThrough a comprehensive approach, over 900 potential prognostic candidates were identified. Further analysis narrowed down 647 prognostic and diagnostic candidate biomarkers. The study also explored the role of the CmPn signaling network in HCC, reaffirming that its components could act as prognostic markers. Additionally, the study-utilized machine learning to discover 102 transcription factors (TFs) associated with HCC, from candidate biomarkers. ConclusionsThe findings provide insights into the molecular basis of HCC and offer potential avenues for improved diagnosis, treatment, and patient outcomes. The expanded prognostic biomarker pool aids in pinpointing HCC-specific grading and staging biomarkers, facilitating targeted therapies for improved patient outcomes and survival rates

cancer biology↗

bioRxiv2023

Population genomic analyses reveal extensive genomic regions within selective sweeps associated with adaptation and demographic history of a wheat fungal pathogen

Plant pathogens can quickly evolve in response to the changing host and environment, resulting in destructive epidemics. The fungus Puccinia striiformis f. sp. tritici (Pst), causing wheat stripe rust disease worldwide, is one such pathogen. In the arms race between pathogens and hosts, changes in host populations exerted continuous selective forces on the dynamics of pathogens. However, the footprints of these selection forces and the demography of Pst remain poorly explored, limited our understanding the evolutionary processes that shape the spread and evolution of pathogens. In this study, we revealed several features of worldwide Pst populations through population genomic analyses. There might be limited gene flow between Pst populations from China and other countries. A slower rate of linkage disequilibrium decay was detected comparing to rust fungi with known sexual reproduction. Furthermore, we detected extensive hard and soft sweeps associated with Pst adaptation. Genes within the selective sweeps were enriched in secreted proteins and effectors and showed functions related to pathogenicity or virulence, temperature tolerance, and fungicide resistance implying that Chinese Pst populations suffered positive selection pressures from host and abiotic factors. Moreover, demographic history indicated Pst populations experienced strong bottlenecks at the beginning of the wheat domestication around 10,000 years ago and during modern agriculture around 100 years ago, suggesting that the crop domestication and breeding programs could continuously contribute to the decline of pathogen effective population sizes. Our results provided insights into the evolution of the Pst genome and highlighted the role of modern agriculture on pathogen demography. Author SummaryWheat stripe rust, as a pathogen of wheat, is capable of inducing significant yield reduction on a global scale. Traditional epidemiological investigations have elucidated the causative agent behind this disease, the wheat stripe rust pathogen, as an organism exhibiting swift adaptive evolution in response to its environment. However, the precise mechanisms underpinning its adaptive strategies and the ensuing alterations in population dynamics remain relatively unexplored. In our research, we have undertaken an analysis encompassing wheat stripe rust samples throughout the world. Employing population genomics methods, we have sought to discern the genomic footprints corresponding to the adaptive process within the pathogen. These genomic footprints have illuminated the operation of positive selection pressures caused by both the host plant and the ecological context. Concurrently, it have provided insights into the population size that the wheat stripe rust pathogen has undergone over millennia. Notably, its change in population size revealed the demographic history associated with wheat domestication.

microbiology↗

bioRxiv2023

Identification of Cholangiocarcinoma (CCA) Subtype-Specific Biomarkers

Liver cancer ranks sixth globally in diagnoses and second in cancer-related deaths. Cholangiocarcinoma (CCA), a relatively rare cancer originating from bile duct epithelium, constitutes 2% of all cancers, with increasing occurrences in Westerns. Incidence is influenced by inflammation, genetics, risk factors, and regional disparities, with higher rates in the Eastern hemisphere. Diagnostic and prognostic biomarkers are pivotal for effective cancer prevention and management. Recent research explores serum proteins for non-invasive CCA diagnosis and proposes targeted receptor approaches for therapeutics. This study aims to identify these biomarkers via bioinformatics analysis of public datasets, focusing on CCA patient transcriptomes to uncover gene biomarkers linked to age and survival. Pathway analysis reveals functions and pathways associated with these biomarkers. Additionally, the study employs the ESM-TFpredict machine learning model to predict transcription factors (TFs) using protein sequence data. Leveraging publicly available data enhances our understanding of liver cancers molecular profiles and clinical relevance, particularly concerning CCA, This study integrates bioinformatics analysis, transcriptomic exploration, and machine learning to unveil a novel set of potential diagnostic and prognostic biomarkers for CCA.

systems biology↗

bioRxiv2023

Targeting adipocyte ESRRA promotes osteogenesis and vascular formation in adipocyte-rich bone marrow

Ectopic bone marrow adipocytes (BMAds) accumulation occurring under diverse pathophysiological conditions leads to bone deterioration. Estrogen-related receptor (ESRRA) is a key regulator responding to metabolic stress. Here, we show that adipocyte-specific ESRRA deficiency rescues osteogenesis and vascular formation in adipocyte-rich bone marrow due to estrogen deficiency or obesity. Mechanistically, adipocyte ESRRA interferes with E2/ESR1 signaling resulting in transcriptional repression of secreted phosphoprotein 1 (Spp1); and positively modulates Leptin expression by binding to its promoter. ESRRA abrogation results in enhanced SPP1 and decreased LEPTIN secretion from both visceral adipocytes and BMAds, concertedly dictating bone marrow stromal stem cell fate commitment and restoring type H vessel formation, constituting a feed-forward loop for bone formation. Pharmacological inhibition of ESRRA protects obese mice against bone loss and high marrow adiposity. Thus, our findings highlight a therapeutic approach via targeting adipocyte ESRRA to preserve bone formation especially in detrimental adipocyte-rich bone milieu. Graphic abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=113 SRC="FIGDIR/small/552932v1_ufig1.gif" ALT="Figure 1"> View larger version (33K): org.highwire.dtl.DTLVardef@1132da3org.highwire.dtl.DTLVardef@19342aorg.highwire.dtl.DTLVardef@afe8d7org.highwire.dtl.DTLVardef@dfb1f9_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗