Biology subjects

Ma, W.

Publications and source records attributed to Ma, W..

At least 91 records · Page 5Linked to original sources

bioRxiv2024

Anatomical characterisation of somatostatin-expressing neurons belonging to the anterolateral system

Anterolateral system (ALS) spinal projection neurons are essential for pain perception. However, these cells are heterogeneous, and there has been extensive debate about the roles of ALS populations in the different pain dimensions. We recently performed single-nucleus RNA sequencing on a developmentally-defined subset of ALS neurons, and identified 5 transcriptomic populations. One of these, ALS4, consists of cells that express Sst, the gene coding for somatostatin, and we reported that these were located in the lateral part of lamina V. Here we use a SstCre mouse line to characterise these cells and define their axonal projections. We find that their axons ascend mainly on the ipsilateral side, giving off collaterals throughout their course in the spinal cord. They target various brainstem nuclei, including the parabrachial internal lateral nucleus, and the posterior triangular and medial dorsal thalamic nuclei. We also show that in the L4 segment Sst is expressed by [~]75% of ALS neurons in lateral lamina V and that there are around 120 Sst-positive lateral lamina V cells on each side. Our findings indicate that this is a relatively large population, and based on projection targets we conclude that they are likely to contribute to the affective-motivational dimension of pain.

neuroscience↗

bioRxiv2024

Exploring methanogenic archaea and their thermal responses in the glacier-fed stream sediments of Rongbuk River Basin, Mt. Everest

Glacier-fed streams (GFS) are emergent sources of greenhouse gas methane, and methanogenic archaea in sediments contribute largely to stream methane emissions. However, little is known about the methanogenic communities in GFS sediments and their key environmental driving factors. This study analyzed stream sediments from the Rongbuk River basin on Mount Everest for methanogenic communities and their temperature responses through anaerobic microcosm incubations at 5{degrees}C and 15{degrees}C. Diverse methanogens were identified, including acetoclastic, hydrogenotrophic, and methylotrophic types. Substantial methane and CO2 production were detected across altitudes and increased significantly at 15{degrees}C, with both methane and CO2 production rate negatively correlated with altitude. While temperature sensitivity of CO2 production but not CH4 showed a negative altitude correlation. Methanogens increased substantially over long-term incubation, dominating the archaeal community. At 15{degrees}C, the relative abundance of several methanogenic groups was strongly correlated with altitude, with positive correlations observed for Methanomassiliicoccaceae and Methanoregulaceae, and negative correlations for Methanocellaceae and Methanotrichaceae, respectively. Besides altitude, factors like phosphorus, C-to-N ratio, and pH also affected methanogenic structure, methane and CO2 production, and temperature sensitivities. This study offers new insights into methanogens and methane production in GFS sediments, improving our understanding of GFS carbon cycling and its potential responses to climate change.

ecology↗

bioRxiv2024

Single-nucleus multiple-organ chromatin accessibility mapping in the rat

The chromatin accessibility landscape is the basis of cell-specific gene expression. We generated a multiorgan, single-nucleus chromatin accessibility landscape from the model organism Rattus norvegicus. For this single-cell atlas, we constructed 25 libraries via snATAC-seq from nine organs in the rat, with a total of over 110,000 cells. Cell classification integrating gene activity scores with known marker genes identified 77 cell types, which were strongly correlated with those in published mouse single-cell transcriptome atlases. We further investigated the enrichment of cell type- and organ-specific transcription factors (TFs), the dynamics of T-cell developmental trajectories across organs, and the conservation and specificity of gene expression patterns across species. These findings provide a foundation for further investigations of the cell composition and gene regulatory networks throughout the rat body. HighlightsO_LIGeneration of a single-cell atlas of chromatin accessibility in nine organs of the rat C_LIO_LICharacterization of cell type- and organ-specific transcription factors (TFs) C_LIO_LIDynamics of chromatin accessibility in developing T cells revealed by cross-organ analysis C_LIO_LIConservation and specificity of gene expression patterns among humans, mice, and rats revealed by cross-species analysis C_LI

genomics↗

bioRxiv2024

Influenza Virus Enhances Bacterial Growth in the Lungs through Weakening Capsule Receptor-Mediated Bacterial Capture by Neutrophils

Certain serotypes of encapsulated bacteria are more associated with severe pneumonia than others, but the biological reason behind this association has remained largely unknown. This study has uncovered a causal relationship between capsule serotype and virulence phenotype of Streptococcus pneumoniae, a leading cause of community-acquired pneumonia, in mice using isogenic bacteria. Certain high-virulence (HV) serotypes persist in the lungs and lead to severe pneumonia, whereas the low-virulence (LV) serotypes are effectively cleared. The capsule type-dependent difference in virulence is determined by the capsule-binding receptors, which recognize the capsular polysaccharides of the LV serotypes (but not the HV serotypes) and enable pathogen capture by neutrophils through complement activation. The capsule receptor-driven immunity of lung neutrophils is significantly compromised by pre-infection of influenza virus, which enhances the survival and virulence of the LV S. pneumoniae serotypes, and recurs in the heightened pathogenicity of Haemophilus influenzae. This study not only unravels the long-sought mechanistic mystery of serotype-dependent virulence in bacterial lung infections, but also provides an explanation for the well-known pathogenesis synergism between influenza virus and respiratory bacteria. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=160 SRC="FIGDIR/small/622589v1_ufig1.gif" ALT="Figure 1"> View larger version (49K): org.highwire.dtl.DTLVardef@1464164org.highwire.dtl.DTLVardef@16f34e5org.highwire.dtl.DTLVardef@1f9ad46org.highwire.dtl.DTLVardef@df104d_HPS_FORMAT_FIGEXP M_FIG C_FIG

microbiology↗

bioRxiv2024

Embryonic Mast Cells Arise from Cpa3-expressing Precursors Independent of Granulocyte-Monocyte Progenitors

Most of the mast cells (MCs) in connective tissues, such as skin, are long-lived embryonic-derived immune cells that play important roles in host defense and various immunological diseases, including allergies. Their embryonic origin and ontogeny remain to be fully studied since several overlapping waves of embryonic hematopoiesis have been shown to give rise to these cells. Here, combining single-cell RNA sequencing and new genetic fate mapping models, we identified a Cpa3-expressing population sequentially appearing in the yolk sac, fetal liver, and peripheral tissues which gives rise to dermal MCs during embryonic days 11.5 to 14.5. Using in vitro differentiation and in vivo transplant methods, we identified a Ter119-F4/80- CD45+CD117+CD16/32+CD135-CD115-Ly6C-CD34lo population as potential fetal liver MC precursors. Fate mapping with Cpa3CreERT2and Zbtb16CreERT2 models, as well as the granulocyte-monocyte progenitor (GMP) models Ms4a3Cre and ElaneCre, demonstrated that MCs arise from Cpa3+ progenitors rather than Ms4a3+ or Elane+ GMPs. A corresponding population with a similar developmental trajectory was also identified in human early yolk sac and fetal liver, suggesting a conserved MC developmental program across species. These findings delineate the detailed developmental path of MCs in embryos, permitting future functional studies in immunity and development. HighlightsO_LICpa3-expressing cells in the yolk sac and fetal liver contain mast cell precursors C_LIO_LICpa3CreERT2 labels embryonic mast cells and their precursors C_LIO_LIEmbryonic mast cells arise through Cpa3+ mast cell precursors, but not Elane+/Ms4a3+ GMPs C_LIO_LIThe seeding of MCPs to embryonic skin slows down after E14.5 C_LI

immunology↗

bioRxiv2024

Mechanism of N-Myc Downstream Regulated Gene-1 regulating Integrin expression to inhibit gastric cancer metastasis

BackgroundN-myc downstream regulated gene-1 (NDRG1), the first member of the NDRG family, is widely distributed in various tissues and organs. In gastric cancer, the hypo-expression of NDRG1 has been positively associated with malignant biological behavior and poor prognosis. In-depth investigation of the potential regulatory mechanism of NDRG1 on gastric cancer is crucial for understanding the pathogenesis of this disease, identifying new therapeutic targets, and developing personalized treatment strategies. This study aims to explore the significance of NDRG1 in regulating the expression of integrins during the progression of gastric cancer. MethodsThe expression of NDRG1 in gastric cancer was analyzed using R software v4.0.3, Boxplot, and the Kaplan-Meier Plotter. Stable cell lines with NDRG1 knockdown and overexpression were subjected to wound healing assays, transwell migration assays, CCK8 assays, and colony formation assays, in order to determine the effects of NDRG1 on the migration and proliferation of gastric cancer cells. Western blotting was employed to examine the impact of NDRG1 on the expression of integrin-related proteins. Immunostaining was used to comprehensively analyze the in vitro experimental results. ResultsThe mRNA and protein levels of NDRG1 were downregulated substantially in gastric cancer, which was inversely correlated with the malignancy of pathological behavior and poor prognosis in gastric cancer. Knockdown of the NDRG1 gene significantly enhanced the proliferation and migration capabilities of gastric cancer cells, whereas overexpression of NDRG1 reduced their metastatic potential and inhibited both migration and proliferation. NDRG1 was found to regulate the expression of fibronectin 1, which in turn influenced the expression of a series of integrins, including v, 5, {beta}1, and {beta}3. This regulatory mechanism may play a crucial role in the early distant metastasis observed in gastric cancer. ConclusionsThis study demonstrated that NDRG1 could regulate the expression levels of integrins through specific signaling pathways, thereby interfering the adhesive and migratory capacities of gastric cancer cells. NDRG1 could serve as a valuable biomarker for the diagnosis and prognosis of gastric cancer, offering new potential targets for its treatment.

cancer biology↗

bioRxiv2024

Deciphering gene regulatory programs in mouse embryonic skin through single-cell multiomics analysis

BackgroundCell type-specific transcriptional heterogeneity in embryonic mouse skin is well-documented, but few studies have investigated the regulatory mechanisms. ResultsHere, we present high throughput single-cell chromatin accessibility and transcriptome sequencing (HT-scCAT-seq), a method that simultaneously profiles transcriptome and chromatin accessibility. We utilized HT-scCAT-seq to dissect the gene regulatory mechanism governing epidermal stratification, periderm terminal differentiation, and fibroblast specification. ConclusionsBy linking chromatin accessibility to gene expression, we identified candidate cis-regulatory elements (cCREs) and target genes crucial for dermal and epidermal development. We described cells with similar gene expression profiles that exhibit distinct chromatin accessibility statuses during periderm terminal differentiation. Finally, we characterized the underlying lineage-determining transcription factors (TFs), and demonstrated that ALX4 and RUNX2 were candidate TF regulators of the dermal papilla lineage development through in silico perturbation analysis.

developmental biology↗

bioRxiv2024

Deep learning facilitates precise identification of disease-resistance genes in plants

The identification of plant disease-resistance genes is essential for understanding the plant immune system and accelerating crop breeding with disease resistance. Therefore, there is a pressing need for a method capable of accurately and comprehensively annotating resistance genes at a genome-wide scale. In this study, we propose Evolutionary Scale Modeling for LRR (ESM-LRR), a novel approach based on the deep protein language model to accurately identify LRR domains which are substantially variable structures in disease-resistance proteins. ESM-LRR achieved its highest F1 score of 0.80 on a test set using the 90% identity as the matching threshold. Building upon ESM-LRR, we developed the Plant Disease-Resistance Gene Predictor (R-Predictor), a framework designed to simultaneously annotate 15 diverse domain topologies, extensively covering recently characterised resistance genes across the entire genome. R-Predictor integrates four modules, each employing superior methods that outperform existing methods (F1 score of 0.89 for RLKs and 0.88 for NLRs), demonstrating its high accuracy and practicality in annotating disease-resistance genes (R genes). R-Predictor were also applied to identify R genes in rice, tomato, and grapevine. Furthermore, AlphaFold3 was employed to screen interactions between 1,116 protein pairs involving three NLRs identified exclusively by R-Predictor and 372 literature-reported plant-pathogen effectors, resulting in the identification of 15 putative NLR-effector complexes. Overall, this study presents a novel approach for advancing our understanding of plant immune mechanisms.

bioinformatics↗

bioRxiv2024

Unveiling multi-scale architectural features in single-cell Hi-C data using scCAFE

Single-cell Hi-C (scHi-C) has provided unprecedented insights into the heterogeneity of 3D genome organization. However, its sparse and noisy nature poses challenges for computational analyses, such as chromatin architectural feature identification. Here, we introduce scCAFE, a deep learning model for the multi-scale detection of architectural features at the single-cell level. scCAFE provides a unified framework for annotating chromatin loops, TAD-like domains (TLDs), and compartments across individual cells. Our model outperforms previous scHi-C loop calling methods and delivers accurate predictions of TLDs and compartments that are biologically consistent with previous studies. The resulting single-cell annotations also offer a measure to characterize the heterogeneity of different levels of architectural features across cell types. We leverage this heterogeneity and identify a series of marker loop anchors, which demonstrate the potential of the 3D genome data to annotate cell identities without the aid of simultaneously sequenced omics data. Overall, scCAFE not only serves as a useful tool for analyzing single-cell genomic architecture, but also paves the way for precise cell-type annotations solely based on 3D genome features.

bioinformatics↗

bioRxiv2024

Deep contrastive learning enables genome-wide virtual screening

Numerous protein-coding genes are associated with human diseases, yet approximately 90% of them lack targeted therapeutic intervention. While conventional computational methods, such as molecular docking, have facilitated the discovery of potential hit compounds, the development of genome-wide virtual screening against the expansive chemical space remains a formidable challenge. Here we introduce DrugCLIP, a novel framework that combines contrastive learning and dense retrieval to achieve rapid and accurate virtual screening. Compared to traditional docking methods, DrugCLIP improves the speed of virtual screening by up to seven orders of magnitude. In terms of performance, DrugCLIP not only surpasses docking and other deep learning-based methods across two standard benchmark datasets, but also demonstrates high efficacy in wet-lab experiments. Specifically, DrugCLIP successfully identified agonists with < 100 nM affinities for 5HT2AR, a key target in psychiatric diseases. For another target NET, whose structure is newly solved and not included in the training set, our method achieved a hit rate of 15%, with 12 diverse molecules exhibiting affinities better than bupropion. Additionally, two chemically novel inhibitors were validated by structure determination with Cryo-EM. Finally, a novel potential drug target TRIP12, with no experimental structures and inhibitors for reference, was used to challenge DrugCLIP. DrugCLIP achieved a hit rate of 17.5% by screening a pocket identified on an AlphaFold2-predicted structure, verified with multi-cycle SPR assays. Molecules with the highest affinities also showed a dose-dependent inhibition to the enzymatic function of TRIP12. Building on this foundation, we present the results of a pioneering trillion-scale genome-wide virtual screening, encompassing approximately 10,000 AlphaFold2 predicted proteins within the human genome and 500 million molecules from the ZINC and Enamine REAL database. This work provides an innovative perspective on drug discovery in the post-AlphaFold era, where comprehensive targeting of all disease-related proteins is within reach.

bioinformatics↗

bioRxiv2024

Transcriptomic profiling of Candidatus Liberibacter asiaticus in different citrus tissues reveals novel insights into Huanglongbing pathogenesis

Candidatus Liberibacter asiaticus (Las) is a gram-negative bacterial pathogen associated with citrus huanglongbing (HLB) or greening disease. Las is transmitted by the Asian citrus psyllid (ACP) where it colonizes the phloem tissue, resulting in substantial economic losses to citrus industry worldwide. Despite extensive efforts, effective management strategies against HLB remain elusive, necessitating a deeper understanding of the pathogen s biology. Las undergoes cell-to-cell movement through phloem flow and colonizes different tissues in which Las may have varying interactions with the host. Here, we investigate the transcriptomic landscape of Las in citrus seed coat vasculatures, enabling a complete gene expression profiling of Las genome and revealing unique transcriptomic patterns compared to previous studies using midrib tissues. Comparative transcriptomics between seed coat, midrib and ACP identified specific responses and metabolic states of Las in different host tissue. Two Las virulence factors that exhibit higher expression in seed coat can suppress callose deposition. Therefore, they may contribute to unclogging sieve plate pores during Las colonization in seed coat vasculature. Furthermore, analysis of regulatory elements uncovers a potential role of LuxR-type transcription factors in regulating Liberibacter effector gene expression during plant colonization. Together, this work provides novel insights into the pathogenesis of the devastating citrus HLB. FundingThis work is supported by USDA National Institute of Food and Agriculture award No. 2020-70029-33197 to W.M and A.L.

microbiology↗

bioRxiv2024

Placental and fetal microbiota in rhesus macaque: a case study using metagenomic sequencing

Recent evidence challenging the notion of a sterile intrauterine environment has sparked research into the origins and effects of fetal microbiota on immunity development during gestation. Rhesus macaques (RMs) serve as valuable non-human primate (NHP) models due to their similarities to humans in development, placental structure, and immune response. In this study, metagenomic analysis was applied to the placenta, umbilical cord, spleen, gastrointestinal (GI) tissues of an unborn RM fetus, and the maternal intestine, revealing the diversity and functionality of microbes in these tissues. We observed substantial microbial sharing between the mother and fetus, with the microbial composition of the placenta and umbilical cord more closely resembling that of the fetal organs than the maternal intestine. Notably, compared with other adult RMs, there was a clear convergence between maternal and fetal microbiota, alongside distinct differences between the microbiota of adults and the fetus, which underscores the unique microbial profiles in fetal environments. Furthermore, the fetal microbiota displayed a less developed carbohydrate metabolism capacity than adult RMs. It also shared antibiotic resistance genes (ARGs) with both maternal and adult RM microbiomes, indicating potential vertical transmission. Comparative analysis of the metagenomes between the RM fetus and a human fetus revealed significant differences in microbial composition and genes, yet also showed similarities in certain abundant microbiota. Collectively, our results contribute to a more comprehensive understanding of the intrauterine microbial environment in macaques.

microbiology↗

bioRxiv2024

High-resolution global diversity copy number variation maps and association with ctyper

Copy number variant (CNV) genes are important in evolution and disease, yet sequence variation in CNV genes remains a blind spot in large-scale studies. We present ctyper, a method that leverages pangenomes to produce allele-specific copy numbers with locally phased variants from next-generation sequencing (NGS) reads. Benchmarking on 3,351 CNV genes, including HLA, SMN, and CYP2D6, and 212 challenging medically relevant (CMR) genes that are poorly mapped by NGS, ctyper captures 96.5% of phased variants with [≥]99.1% correctness of copy number on CNV genes and 94.8% of phased variants on CMR genes. Applying alignment-free algorithms, ctyper requires 1.5 hours per genome on a single CPU. The results largely improve predictions of gene expression compared to known expression quantitative trait loci (eQTL) variants. Allele-specific expression quantified divergent expression on 7.94% of paralogs and tissue-specific biases on 4.68% of paralogs. We found reduced expression of SMN2 due to SMN1 conversion, potentially affecting spinal muscular atrophy, and increased expression of translocated duplications of AMY2B. Overall, ctyper enables biobank-scale genotyping of CNV and CMR genes.

genomics↗

bioRxiv2024

Study on the phenotypic diversity and comprehensive evaluation analysis of 43 ornamental peonies of Sect. Paeonia.

The peony of Sect. Paeonia was a perennial herbaceous plant with numerous ornamental varieties and riched diversity in flower color and shape. It has ornamental, edible, and medicinal value and a long history of cultivation in China. The study of phenotypic diversity of plants is an important foundation for plants of Sect. Paeonia breeding. This study conducted phenotypic diversity analysis, principal component analysis, and cluster analysis on 43 varieties of Sect. Paeonia germplasm resources. Phenotypic traits included 30 qualitative traits and 7 quantitative traits. Through genetic diversity analysis, principal component analysis, comprehensive evaluation, and cluster analysis, we ultimately concluded that plant samples had relatively rich genetic phenotype traits. In principal component analysis, the first 12 principal components have covered the vast majority of information for phenotypic traits. The comprehensive evaluation results of phenotypic traits indicate that the F values of each variety in the germplasm sample were all positive number. The degree of stamen petals played a key role in determining the phenotypic diversity of plants, and the shape of the cotyledons and leaflets may determine the plants stress resistance performance, which provides a reference for breeding new varieties of peonies of Sect. Paeonia.

plant biology↗

bioRxiv2024

A Tough Biointerface in Human Knee Empowered by Dynamic Phase-transforming Minerals in Collagenous Matrix

Joining heterogeneous materials in engineered structures remains a daunting challenge because of stress concentration, often resulting in unexpected failures1,2. Studying the structures in organisms that evolved for centuries provides valuable insights that can be instrumental in addressing this mechanical challenge3-5. The human meniscus root-bone interface is a remarkable example known for its exceptional fatigue resistance, toughness and interfacial adhesion properties throughout its lifespan6-8. We studied the multiscale graded mineralization structure designs within the 30-micron soft-hard interface at the root-bone junction and examined its toughening mechanisms. This graded interface with interdigitated structures and exponential modulus increase exhibits a phase transition from amorphous calcium phosphate (ACP) to gradually matured hydroxyapatite (HAP) crystals, mediated by location-specific distributed biomolecules. In coordination with collagen fibril deformation and reorientation, ACP particles debond with collagen and slide to new positions which enable frictional energy dissipation, and HAP particles arrest cracks. The mineral in transforming phases work synergistically to provide interfacial toughening. The presented biointerface model exemplifies human musculoskeletal systems adaptations to mechanical requirements, offering a blueprint for developing tough interfaces in broad applications.

bioengineering↗

bioRxiv2024

Discrimination of Jamaican fruit bat lymphocytes by flow cytometry

Bats are natural reservoir hosts of many important zoonotic viruses but because there are few immunological reagents and breeding colonies available for infectious disease research, little is known about their immune responses to infection. We established a breeding colony Jamaican fruit bats (Artibeus jamaicensis) to study bat virology and immunology. The species is used as a natural reservoir model for H18N11 influenza A virus, and as a surrogate model for SARS-CoV-2, MERS-CoV and Tacaribe virus. As part of our ongoing efforts to develop this model organism, we sought to identify commercially available monoclonal antibodies (mAb) for profiling Jamaican fruit bat lymphocytes. We identified several cross-reactive mAb that can be used to identify T and B cells; however, we were unable to identify mAb for three informative T cell markers, CD3{gamma}, CD4 and CD8. We targeted these markers for the generation of hybridomas, and identified several clones to each that can be used with flow cytometry and fluorescence microscopy. Specificity of the monoclonal antibodies was validated by sorting lymphocytes, followed by PCR identification of confirmatory transcripts. Spleens of Jamaican fruit bats possess about half the number of T cells than do human or mouse spleens, and we identified an unusual population of cells that expressed the B cell marker CD19 and the T cell marker CD3. The availability of these monoclonal antibodies will permit a more thorough examination of adaptive immune responses in Jamaican fruit bats that should help clarify how the bats control viral infections and without disease. ImportanceBats naturally host a number of viruses without disease, but which can cause significant disease in humans. Virtually nothing is known about adaptive immune responses in bats because of a lack of immunological tools to examine such responses. We have begun to address this deficiency by identifying several commercially available monoclonal antibodies to human and mouse antigens that are cross-reactive to Jamaican fruit bat lymphocyte orthologs. We also generated monoclonal antibodies to Jamaican fruit bat CD3{gamma}, CD4 and CD8 that are suitable for identifying T cell subsets by flow cytometry and immunofluorescent staining of fixed tissues. Together, these reagents will allow a more detailed examination of lymphocyte populations in Jamaican fruit bats.

immunology↗

bioRxiv2024

The Open Pediatric Cancer Project

BackgroundIn 2019, the Open Pediatric Brain Tumor Atlas (OpenPBTA) was created as a global, collaborative open-science initiative to genomically characterize 1,074 pediatric brain tumors and 22 patient-derived cell lines. Here, we present an extension of the OpenPBTA called the Open Pediatric Cancer (OpenPedCan) Project, a harmonized open-source multi-omic dataset from 6,112 pediatric cancer patients with 7,096 tumor events across more than 100 histologies. Combined with RNA-Seq from the Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA), OpenPedCan contains nearly 48,000 total biospecimens (24,002 tumor and 23,893 normal specimens). FindingsWe utilized Gabriella Miller Kids First (GMKF) workflows to harmonize WGS, WXS, RNA-seq, and Targeted Sequencing datasets to include somatic SNVs, InDels, CNVs, SVs, RNA expression, fusions, and splice variants. We integrated summarized CPTAC whole cell proteomics and phospho-proteomics data, miRNA-Seq data, and have developed a methylation array harmonization workflow to include m-values, beta-vales, and copy number calls. OpenPedCan contains reproducible, dockerized workflows in GitHub, CAVATICA, and Amazon Web Services (AWS) to deliver harmonized and processed data from over 60 scalable modules which can be leveraged both locally and on AWS. The processed data are released in a versioned manner and accessible through CAVATICA or AWS S3 download (from GitHub), and queryable through PedcBioPortal and the NCIs pediatric Molecular Targets Platform. Notably, we have expanded PBTA molecular subtyping to include methylation information to align with the WHO 2021 Central Nervous System Tumor classifications, allowing us to create research-grade integrated diagnoses for these tumors. ConclusionsOpenPedCan data and its reproducible analysis module framework are openly available and can be utilized and/or adapted by researchers to accelerate discovery, validation, and clinical translation.

genomics↗

bioRxiv2024

Decoding the anti-aging effect of retinol in reshaping the human skin microbiome niches

Retinol has been widely added to skincare products due to its ability to promote the proliferation of skin keratinocytes and regulate skin cell collagen expression. While it is known the skin harbors a myriad of commensal bacteria, the impact of retinol on the skin microbiome, as well as the role of the skin microbiome in mediating the anti-aging properties of retinol, remains poorly understood. In this study, we incorporated phenomics, metagenomics and metabolomics to explore the human skin alterations during the anti-aging process mediated by retinol, and potential interactions between retinol, skin microbiome and metabolites. Topical retinol significantly improved skin conditions, including enhancing skin hydration, acidifying the epidermis, strengthening the skin barrier, and reducing the number and volume of wrinkles. Furthermore, retinol also reshaped the skin microecology by altering the structure and function of the skin microbiome as well as the host and microbial metabolites. Through GEM construction, we identified 2 skin microorganism, Sericytochromatia sp. and Corynebacterium kefirresidentii capable of oxidizing retinol to retinal. Over 10 skin microbes can utilize UDP-glucose as a carbon source, potentially accelerating RAG hydrolysis and increasing glucuronic acid consumption. The retinoic acid and retinol generated by RAG hydrolysis are reused by skin cells and microbes, enhancing retinol metabolism and its effective duration. This combined effect between the skin microbiome and retinol improves skin condition and anti-aging efficacy.

microbiology↗