Bioinformatics Methods Research Articles

RNA-Protein Interaction Prediction without High-Throughput Data: An Overview and Benchmark of in silico Tools

RNA-protein interactions (RPIs) are crucial for accurately operating various processes in and between organisms across kingdoms of life. Mutual detection of RPI partner molecules depends on distinct sequential, structural, or thermodynamic features, which can be determined via experimental and bioinformatic methods. Still, the underlying molecular mechanisms of many RPIs are poorly understood. It is further hypothesized that many RPIs are not even described yet. Computational RPI prediction is continuously challenged by the lack of data and detailed research of very specific examples. With the discovery of novel RPI complexes in all kingdoms of life, adaptations of existing RPI prediction methods are necessary. Continuously improving computational RPI prediction is key in advancing the understanding of RPIs in detail and supplementing experimental RPI determination. The growing amount of data covering more species and detailed mechanisms support the accuracy of prediction tools, which in turn support specific experimental research on RPIs. Here, we give an overview of RPI prediction tools that do not use high-throughput data as the user's input. We review the tools according to their input, usability, and output. We then apply the tools to known RPI examples across different kingdoms of life. Our comparison shows that the investigated prediction tools do not favor a certain species and equip the user with results varying in degree of information, from an overall RPI score to detailed interacting residues. Furthermore, we provide a guide tree to assist users which RPI prediction tool is appropriate for their available input data and desired output.

Genome-wide identification and expression analysis of the GT8 gene family in tomato(Solanum lycopersicum) and the functional of SlGolS1 under cold stress

Glycosyltransferases (GTs) are a diverse superfamily of enzymes involved in glycosylation reactions, with the GT8 (glycosyltransferase 8) playing a crucial role in plant growth, development, and abiotic stress responses. Tomato, widely cultivated and is a thermophilic plant. So it is significant to study how GT8 regulates cold resistance in tomato for plant growth. In this study, we screened the whole genome of tomato by using bioinformatics methods and identified 40 members of the GT8 gene family. Analysis of cold stress transcriptome data and qRT-PCR experiments revealed the potential significance of SlGolS1 in responding to cold stress. SlGolS1 was highly expressed in the stems and flowers of tomato, with its mature protein localized in the chloroplast. Used the VIGS method to transiently silence the SlGolS1 gene, the SlGolS1-silenced plants (pTRV2-SlGolS1) rendered tomato more sensitive to cold stress compared with the control (pTRV2) tomato plant phenotype after cold treatment; enzyme activity assays showed that oxidative damage was more severe in the pTRV2-SlGolS1. In summary, SlGolS1 positively regulates cold resistance in tomato.

Genome-Wide Analysis of the Multidrug and Toxic Compound Extrusion Gene Family in the Tea Plant

The multidrug and toxic compound extrusion (MATE) family is the latest class of novel secondary transporters discovered in plants. However, there is currently no comprehensive analysis of the MATE gene family in the tea plant. In this study, 68 CsMATE genes were identified from the tea plant genome using bioinformatic methods. In general, we analyzed the evolutionary relationships, intron–exon structure, distribution in chromosomes, conserved domains, and gene expression patterns in different tissues and stresses of the CsMATE gene family. The 68 CsMATEs were phylogenetically divided into four major clusters (Class I to Class IV). The CsMATE genes within the same class exhibit similar structural features, while displaying certain distinctions across different classes. Evolutionary analysis indicated that the CsMATE gene family expanded mainly through gene duplication events, in addition to proximal duplication. Through the analysis of cis-acting elements, it was found that CsMATE genes may be involved in the growth, development, and stress response. Furthermore, we observed that certain CsMATE genes could be induced to exhibit expression under abiotic stress conditions such as low temperature, high salinity (NaCl), osmotic stress (PEG), and methyl jasmonate treatment (MeJA). The findings presented herein offer a crucial theoretical foundation for elucidating the biological functions of CsMATE genes, particularly in response to abiotic stress, and furnish valuable potential genetic resources for tea plant resistance breeding.

Streptomyces hygroscopicus and rapamycinicus Evaluated from a U.S. Marine Sanctuary: Biosynthetic Gene Clusters Encode Antibiotic and Chemotherapeutic Secondary Metabolites

Cancer remains a leading cause of death worldwide. Also threatening the public is the emergence of antibiotic resistance to existing medicines. Despite the challenge to produce viable natural products to market, there continues to be a need within public health to provide new chemotherapeutic drugs such as those exhibiting cytotoxicity and tumor cell growth-inhibitory properties. As marine genomic research advances, it is apparent that marine-derived sediment harbors uniquely potent bioactive compounds compared to their terrestrial counterparts. The Streptomyces genus in particular produces more than 30% of all secondary metabolites currently approved for human health, thus harboring unexplored reservoirs of chemotherapeutic and antibiotic agents to combat emerging disease. The present study identifies the presence of Streptomyces hygroscopicus and rapamycinicus in environmental sediment at locations within the U.S. Stellwagen Bank National Marine Sanctuary (SBNMS) from 2017 to 2022. Sequencing and bioinformatics methods catalogued biosynthetic gene clusters (BGCs) that drive cytotoxic and antibiotic biochemical processes in samples collected from sites permittable and protected to fishing activity. Poisson regression models confirmed that Sites 1 and 3 had significantly higher occurrences of rapamycinicus than other sites (p < 0.01). Poisson regression models confirmed that Sites 1, 2 and 3 had significantly higher occurrence for Streptomyces hygroscopicus across sites (p < 0.05). Interestingly, permitted fishing sites showed a greater prevalence of both species. Statistical analyses showed a significant difference in aligned hits with polyketide synthases (PKSs) and non-ribosomal peptide synthetases (NRPSs) by site and between species with hygroscopicus showing a greater quantity than rapamycinicus among Streptomyces spp. (p < 0.05; F = 4.7 > F crit).

Tumor suppressor ACER1 correlates with prognosis and Immune Infiltration in head and neck squamous cell carcinoma.

Head and neck squamous cell carcinoma (HNSCC) is notorious for poor prognoses, and effective biomarkers are urgently needed for early diagnosis of HNSCC patients. We investigate the role of alkaline ceramidase 1 (ACER1) and its relationship with immune infiltration in HNSCC. The differential expression and clinical prognostic significance of ACER1 in HNSCC patients are explored using bioinformatics methods and verified in human HNSCC samples. Genetic mutation, DNA methylation and drug sensitivity linked with ACER1 are examined. The potential biological function of ACER1 co-expression genes is assessed, and a series of functional assays are performed on ACER1in vitro. The results comprehensively reveal a relationship between ACER1 and immune infiltration in HNSCC patients. ACER1 expression is significantly downregulated in HNSCC tissues and closely correlated with better prognoses for HNSCC patients, and this prognostic significance is determined by distinct clinical characteristics. Genetic alteration and promoter hypomethylation of ACER1 are involved in progression of HNSCC, and ACER1 expression is significantly related to several drug sensitivities. Functional analysis shows that ACER1 co-expression genes are mainly enriched in the sphingolipid signaling pathway associated with inhibition of tumorigenesis, leading to better prognoses for HNSCC patients. In vitro, ACER1 overexpression inhibits proliferation and migration, induces apoptosis, and promotes adhesion of Fadu and SCC9 cells. In addition, high ACER1 expression is closely linked with infiltration levels of immune cells, and strongly associated with biomarkers of immune cells in HNSCC, suggesting the important role of ACER1 in regulating tumor immunity in HNSCC patients. In summary, ACER1 may be a useful indicator for diagnosis and prognosis, and may regulate immune infiltration in HNSCC patients, thus promising targeted immunotherapy for HNSCC.

Identification of diagnostic genes and the miRNA‒mRNA‒TF regulatory network in human oocyte aging via machine learning methods.

Oocyte aging is a significant factor in the negative reproductive outcomes of older women. However, the pathogenesis of oocyte aging remains unclear. This study aimed to identify the hub genes involved in oocyte aging via bioinformatics methods. The oocyte aging datasets GSE155179 and GSE158802 were obtained from the GEO database and analyzed as the training set. The GSE164371 dataset was then defined as the validation set. Differentially expressed genes were analyzed via the limma package and weighted gene coexpression network analysis, and intersected with cellular senescence-associated genes from the Cell Senescence database. The hub genes were identified via three machine learning algorithms, namely, support vector machine recursive feature elimination, random forest, and least absolute shrinkage and selection operator logistic, which were also confirmed via the validation set. Finally, a microRNA-mRNA‒transcription factor regulatory network and single-gene gene set enrichment analysis were performed to clarify the pathogenesis of oocyte aging. A competing endogenous RNA network of GSE155179 and GSE158802 with 124 mRNAs, 31 long noncoding RNAs, and 31 miRNAs was constructed. Two modules with 814 genes were considered the key modules of oocyte aging. PDIK1L, SIRT1, and MCU were subsequently identified as hub genes; on the basis of these hub genes, a regulatory network of oocyte aging with 8 miRNAs, 3 mRNAs, and 227 TFs was ultimately constructed. This study contributes to a deeper understanding of oocyte aging and may aid in the development of therapeutic approaches to improve reproductive outcomes in older women.

Prognostic and immune correlation of IDO1 promoter methylation in breast cancer.

Indoleamine 2,3-dioxygenase 1 (IDO1) plays an important role in the initiation and progression of breast cancer. DNA promoter methylation status has the potential to be used as a biomarker for predicting the response to immunotherapy. This study aimed to investigate the biological and clinical significance of IDO1 promoter methylation in breast cancer. We analyzed IDO1 promoter methylation and its relationship with survival, patient prognosis, immune cell infiltration, immune-related pathways, and the expression of key immunomodulators via bioinformatics methods in The Cancer Genome Atlas (TCGA) breast cancer cohort (779 samples). Furthermore, the IDO1 promoter methylation status and expression of the IDO1 gene in the basal subtype of breast cancer were investigated in vitro via a methylation-specific PCR (MSP) assay and quantitative polymerase chain reaction (qPCR). The IDO1 promoter was significantly hypomethylated in the basal subtype of breast cancer tissues compared with normal adjacent tissues, and this effect was correlated with high expression of IDO1, resulting in abundant immune cell infiltration, activation of immune-related pathways, and upregulation of key immunomodulators. The influence of IDO1 promoter hypomethylation on the prognosis of patients with breast cancer was also investigated. The promoter hypomethylation of IDO1 in the basal subtype of breast cancer and its correlation with high expression of IDO1 were also investigated in vitro. Our results showed that IDO1 promoter methylation is vital for regulating its expression, which leads to the development of a tumor microenvironment in breast cancer. IDO1 promoter methylation and expression are associated with prognosis, immune cell infiltration, immune-related pathways, and immunomodulator expression in breast cancer. Our findings provide evidence for the validation of IDO1 promoter methylation as a promising biomarker to predict responses to immune checkpoint inhibitors in patients with breast cancer.

Pan-genome wide identification and analysis of the SAMS gene family in sunflowers (Helianthus annuus L.) revealed their intraspecies diversity and potential roles in abiotic stress tolerance

IntroductionS-adenosylmethionine (SAM), a key molecule in plant biology, plays an essential role in stress response and growth regulation. Despite its importance, the SAM synthetase (SAMS) gene family in sunflowers (Helianthus annuus L.) remains poorly understood.MethodsIn this study, the SAMS genes were identified from the sunflower genome. Subsequently, the protein properties, gene structure, chromosomal location, cis-acting elements, collinearity, and phylogeny of the SAMS gene family were analyzed by bioinformatic methods. Finally, the expression patterns of SAMS genes in different tissues, under different hormonal treatment and abiotic stress were analyzed based on transcriptome data and qRT-PCR.ResultsThis study identified 58 SAMS genes across nine cultivated sunflower species, which were phylogenetically classified into seven distinct subgroups. Physicochemical properties and gene structure analysis showed that the SAMS genes are tightly conserved between cultivars. Collinearity analysis revealed segmental duplications as the primary driver of gene family expansion. The codon usage bias analysis suggested that natural selection substantially shapes the codon usage patterns of sunflower SAMS genes, with a bias for G/C-ending high-frequency codons, particularly encoding glycine, leucine, and arginine. Analysis of the cis-regulatory elements in promoter regions, implied their potential roles in stress responsiveness. Differential expression patterns for HanSAMS genes were observed in different tissues as well as under hormone treatment or abiotic stress conditions by analyzing RNA-seq data from previous studies and qRT-PCR data in our current study. The majority of genes demonstrated a robust response to BRA and IAA treatments in leaf tissues, with no significant expression change observed in roots, suggesting the response of HanSAMS genes to hormones is tissue-specific. Expression analyses under abiotic stresses demonstrated diverse expression profiles of HanSAMS genes, with HanSAMS5 showing significant upregulation in response to both drought and salt stresses.DiscussionThis comprehensive genomic and expression analysis provides valuable insights into the SAMS gene family in sunflowers, laying a robust foundation for future functional studies and applications in crop improvement for stress resilience.

Abstract A060: Identification of tumour-specific variants from pleural effusion cell-free DNA as diagnostic markers of cancers affecting the lungs

Abstract Background: Pleural mesothelioma (PM) can be difficult to diagnose due to a combination of the growth pattern of the tumour, the invasive nature of the biopsy procedure and the frailty of the patient. Some patients with PM develop a build-up of fluid around their lungs as their first clinical symptom. This fluid can make breathing difficult and is routinely drained as part of standard care. Currently, a cytological test can be performed to identify if PM cells are present in the fluid, however, while this is a specific test, it lacks sensitivity. We examined if (a) cell-free DNA (cfDNA) originating from tumours affecting the lung could be detected in this fluid and (b) if this cfDNA could be determined as coming from PM compared to non-small cell lung cancer (NSCLC), due to changes in genes that only occur in these types of tumours. Methods: Using the QIAamp MinElute ccfDNA Kit, we were able to isolate sufficient concentrations of cfDNA from pleural effusions (n=80) derived from patient samples procured by our colleagues at Southmead Hospital with either PM or NSCLC to perform gene panel sequencing. Using the QIAseq Targeted DNA Pro Human Lung Cancer Research Panel, with additional booster primers covering BAP1 and SETD2, we performed the library preparation in-house. Data analysis was carried out using the QIAGEN CLC Genomics Workbench, with the specific workflows for the gene panels and results were filtered by QC, proportion of variant reads and variant read count. Data were compared to expected variant frequencies published in TCGA. Results: Tumour-specific cfDNA was isolated from pleural effusions in the majority of samples tested. In a proportion of these, variants indicative of a specific type of tumour (PM or NSCLC) were readily detectable, at slightly lower than the expected frequencies than reported in TCGA. Conclusions and future work: This approach can act as a 'rule-in' clinically diagnostic test for the presence of PM or NSCLC in a higher proportion of people that can currently be identified through cytology testing. These individuals could be spared from receiving an invasive biopsy to diagnose their tumour. We are currently working on (i) increasing the sensitivity of this approach to identify more cases and (ii) if a bioinformatic method can identify tumour-specific copy number alterations from the gene panel sequencing data. Citation Format: Connie MacKinnon, Dr Colette Mustard, Dr Nicole Brace, Dr Beth Sage, Jenny Symonds, Colin Nixon, Dr Anna Bibby, A/Prof Antonia Pritchard. Identification of tumour-specific variants from pleural effusion cell-free DNA as diagnostic markers of cancers affecting the lungs [abstract]. In: Proceedings of the AACR Special Conference: Liquid Biopsy: From Discovery to Clinical Implementation; 2024 Nov 13-16; San Diego, CA. Philadelphia (PA): AACR; Clin Cancer Res 2024;30(21_Suppl):Abstract nr A060.

CD3D silencing alleviates diabetic nephropathy via inhibition of JAK/STAT pathway.

Diabetic nephropathy (DN) is a severe microvascular complication of diabetes that poses a significant burden to global health. This investigation aims to illustrate the functional role of CD3D and its relevant mechanisms in DN progression. The pivotal genes between the GSE47183 and GSE30528 datasets were identified using bioinformatics methods. The effects of CD3D silencing on renal damage, inflammatory response, and lipid metabolism were validated in DN mice. Furthermore, the impacts of CD3D knockdown on cell viability, apoptotic rate, inflammation, and lipid levels were investigated in HK-2 cells under high glucose (HG) conditions. Additionally, RO8191 was employed to investigate the role of CD3D in the JAK/STAT pathway in HG-treated cells. A total of 5 focal genes were identified through bioinformatics and were found to be upregulated in renal tissues from DN mice. CD3D silencing mitigated pathological damage to kidneys, reduced inflammatory response, and decreased lipid accumulation in DN mice. HG stimulation restrained viability, increased apoptosis, promoted the release of inflammatory cytokines, and affected expressions of hallmarks related to lipid metabolism in HG-treated cells; these changes were partially abolished by CD3D knockdown. Mechanistically, CD3D downregulation ameliorated HG-induced injury in HK-2 cells by blocking the JAK/STAT pathway. This study underscores that CD3D silencing has significant potential as a promising candidate in the treatment of DN.

Single-cell and bulk transcriptome analysis reveals tumor cell heterogeneity and underlying molecular program in uveal melanoma.

Uveal melanoma (UM) is a rare and deadly eye cancer with high metastatic potential. Despite the predominance of malignant cells within the tumor microenvironment, the heterogeneity and underlying molecular features remain to be fully characterized. We analyzed single-cell transcriptomic profiling of 37,660 malignant cells from 17 UM tumors. A consensusnon-negative factorization algorithm was used to decipher transcriptional programs underlying tumor cell-intrinsic heterogeneity. Tumor-infiltrated immune cells were computationally estimated from bulk transcriptomes and bioinformatics methods. A gene signature was derived for subtyping and prognostic stratification and validated in multicenter cohorts. ScRNA-seq analysis revealed the existence of diverse subpopulations and transcriptional variability among malignant cells within and between tumors. Furthermore, we observed that the heterogeneity of malignant cell states and compositions correlated with genomic, immunological, and clinical characteristics. By identifying gene expression programs associated with malignant cell heterogeneity at the single cell level, UM samples were classified into two distinct intra-tumoral subtypes (ITMHlo and ITMHhi) with different prognoses and immune microenvironments. Finally, a machine learning-derived 9-gene signature was developed to translate single-cell information into bulk tissue transcriptomes for patient stratification and was validated in multicenter cohorts. Our study provides insight into understanding the intra-tumoral heterogeneity of UM and its potential impact on patient stratification.

Kaempferol Remodels Liver Monocyte Populations and Treats Hepatic Fibrosis in Mice by Modulating Intestinal Flora and Metabolic Reprogramming.

Changes in gut flora are associated with liver fibrosis. The interactions of host with intestinal flora are still unknown, with little research investigating such interactions with comprehensive multi-omics data. The present work analyzed and integrated large-scale multi-omics transcriptomics, microbiome, metabolome, and single-cell RNA-sequencing datasets from Kaempferol-treated and untreated control groups by advanced bioinformatics methods. This study concludes that kaempferol dose-dependently improved serum markers (like AST, ALT, TBil, Alb, and PT) and suppressed fibrosis markers (including HA, PC III, LN, α-SMA, and Collagen I), while kaempferol also increased body weight. Mechanistically, kaempferol improved the metabolic levels of intestinal flora dysbiosis and associated lipids. This was achieved by increasing the abundance of g__Robinsoniella, g__Erysipelotrichaceae_UCG-003, g__Coriobacteriaceae_UCG-002, and 5-Methylcytidine, all-trans-5,6- Epoxyretinoic acid, LPI (18:0), LPI (20:4), etc. to achieve this. Kaemferol exerts anti-inflammatory and immune-enhancing effects by down-regulating the Th17/IL-17 signaling pathway in PDGF-induced LX2 cells. In addition, kaempferol administration remarkably elevated CD4 + T and CD8 + T cellular proportions, thereby activating immune cells for protecting the body and controlling inflammatory conditions. The combined interaction of multiple data may explain how Kaempferol modulates the intestinal flora thereby remodeling the hepatocyte population and alleviating liver fibrosis.

Identification of hub genes in the crosstalk between type 2 diabetic nephropathy and obesity according to bioinformatics analysis

ABSTRACT Diabetic nephropathy (DN) and obesity bring a huge burden to society. Obesity plays a crucial role in the progression of type 2 DN, but the pathophysiology remains unclear. Thus, we aimed the explore the association between type 2 DN and obesity using bioinformatics method. The gene expression profiles of type 2 DN (GSE96804) and obesity (GSE94752) were downloaded from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) were screened with the thresholds defined as |log2FC| ≥1 and P<0.05. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were performed. Subsequently, a protein-protein interaction network was constructed based on the STRING database. Hub genes were identified, and the co-expression network was constructed. Finally, the hub genes were verified in clinical samples of 24 patients by immunohistochemistry. A total of 17 common DEGs were identified. Finally, two overlapping hub genes were identified (CCL18, C1QC). C1QC has been verified in clinical specimens. Using bioinformatics methods, the present study analyzed the common DEGs and the potential pathogenic mechanisms involved in type 2 DN and obesity. C1QC was the hub gene. Further studies are needed to clarify the specific relationships among C1QC, type 2 DN and obesity.

TMIC-86. THE ROLE AND THERAPEUTIC RESEARCH OF NETS IN PROMOTING TMZ RESISTANCE IN GLIOBLASTOMA

Abstract OBJECTIVE This study aims to investigate the issue of resistance to temozolomide (TMZ) treatment in high-grade glioblastoma (GBM), specifically the association between TMZ resistance, the tumor microenvironment (TME), and neutrophil activity. The research hypothesis posits that changes in neutrophils induced by TMZ treatment, particularly the formation of neutrophil extracellular traps (NETs), may lead to TMZ resistance in GBM cells. METHODS The study utilized clinical data analysis and animal model research to evaluate changes in neutrophils during TMZ treatment and their impact on treatment efficacy. Proteomics analysis and high-throughput sequencing were employed to investigate the effect of TMZ on cytokine secretion by GBM cells and how these cytokines stimulate the release of NETs. Additionally, gene ontology (GO) analysis and bioinformatics methods were used to study how NETs promote the epithelial-mesenchymal transition (EMT) process and TMZ resistance by activating specific signaling pathways such as Jak-Stat3. RESULTS The study found that TMZ treatment led to increased neutrophil infiltration, which was associated with poor prognosis in GBM patients. TMZ treatment altered the levels of cytokines secreted by GBM cells, particularly IL-6, promoting the release of NETs by neutrophils. The formation of NETs was closely related to the activation of Stat3 signaling and the promotion of the EMT process in tumor cells, thereby enhancing TMZ resistance. Magnesium-based micromotors were found to improve TMZ efficacy by scavenging ROS production in neutrophils, inhibiting the release of NETs. CONCLUSION This study confirms the association between TMZ resistance and neutrophil activity, particularly the role of NETs in promoting EMT and resistance. These findings provide new insights into the treatment of GBM and offer a theoretical basis for the development of therapeutic strategies targeting NETs, which may improve the response of glioblastoma to TMZ treatment by inhibiting ROS production. The development of this novel therapeutic approach offers new treatment options for postoperative chemotherapy in GBM.

Genome-wide analysis of the HSF family in Allium sativum L. and AsHSFB1 overexpression in Arabidopsis under heat stress.

The heat shock transcription factor (HSF) family is one of the most widely studied transcription factor families in plants; HSFs can participate in the response to various stressors, such as heat stress, high salt, and drought stress. Based on garlic transcriptome data, we screened and identified 22 garlic HSFs. The HSF proteins of garlic and Arabidopsis can be divided into three (A, B, C) subfamilies. The phylogenetic relationship, chromosome localization, sequence characteristics, conserved motifs, and promoter analysis of the HSF family were analyzed through bioinformatics methods. RT-qPCR analysis showed that the nine selected genes had different degrees of response to heat stress. In addition, we isolated and identified a class B HSF gene, AsHSFB1, from garlic variety 'Xusuan No.6'. Subsequently, the AsHSFB1 gene was overexpressed in Arabidopsis thaliana. Under heat stress, the germination rate and growth of wild-type plants were better than that of transgenic plants. Moreover, after heat treatment, the contents of peroxidase, catalase, and chlorophyll a and b of transgenic plants were lower, but the contents of malondialdehyde (MDA) and leaf conductivity were higher. Nitroblue tetrazolium (NBT) staining showed that the stained area of transgenic plant leaves was larger than that of the wild type. Further studies showed that AsHSFB1 overexpression inhibited the expression of related reverse resistance genes. These results indicate that AsHSFB1 might play a negative regulatory role in garlic resistance under high stress. Altogether, these findings provide valuable data for revealing the function of HSF genes and lay a foundation for the subsequent selection of heat-resistant garlic varieties.

STEM-14. INTEGRATED ANALYSIS OF GLIOBLASTOMA PROGENITOR SUBTYPES REVEALS A TUMOR-DERIVED STEM CELL POPULATION WITH NEURAL AND VASCULAR POTENTIAL

Abstract Glioblastoma (GBM) exhibits a vast heterogeneity in cell types and states. Recent research highlights the reactivation of neurodevelopmental programs in GBM, contributing to this heterogeneity and, ultimately, therapy resistance. To characterize the landscape of progenitor cell types in human primary GBM, we compiled a meta-atlas of single-cell transcriptomes from seven published studies. Using a novel bioinformatic method for gene program analysis, we derived GBM gene expression meta-modules represented across multiple tumors. Our analyses validated previously described GBM gene programs and revealed novel tumor progenitor subtypes. Among these subtypes, we identified a tumor-derived stem cell population exhibiting a mixed vascular identity and transcriptional programs reminiscent of neural stem cells, which we identified as a putative neurovascular progenitor (NVP). To our knowledge, this population has not been previously described in GBM. We validated the existence of NVPs in situ using immunofluorescence from primary patient GBM samples. We then performed an enrichment for NVPs using fluorescence-activated cell sorting direct from patient tumors, followed by single-cell RNA sequencing. Examination of data from traditional model systems, including gliomaspheres and mouse GBM models, confirmed the preservation of NVP identity across systems. In vivo analysis of NVPs in multiple mouse models of GBM elucidate the influence of NVPs on GBM cell type composition, highlighting their role as multipotent progenitors. Finally, we utilized single-cell lineage barcoding to trace the progeny of patient-derived NVP cells in a novel organoid transplantation model, revealing NVP differentiation into vascular-like and neural-like cells. These data indicate that NVP cells play crucial roles in tumor plasticity and may represent a valuable therapeutic target for future exploration.

Exploring the mechanism of Suxin Hugan Fang in treating ulcerative colitis based on network pharmacology

As a traditional Chinese medicine formula used in clinical practice for an extended period, Suxin-Hugan-Fang (SXHGF) exhibits excellent anti-inflammatory properties. However, the efficacy of SXHGF in treating ulcerative colitis (UC) and its mechanism of action are still unclear. In this study, the therapeutic effects of SXHGF on UC were evaluated using network pharmacology and experimental validation, while also investigating its mechanism of action. By administering DSS to C57BL/6 mice to construct a mouse model of ulcerative colitis, the therapeutic effect of SXHGF on ulcerative colitis was evaluated based on weight loss percentage, disease activity index, colon length changes, and pathological conditions as indicators. The main chemical components of SXHGF were determined by LC-MS-QTOF method. The potential targets and mechanisms of action of SXHGF in the treatment of UC were inferred using bioinformatics methods, and further validated through ELISA, IHC, and Western blotting assays. The experimental results demonstrate that SXHGF can suppress oxidative stress and oxidative damage in the colon tissue of UC mice, and alleviate DSS-induced ulcerative colitis by inhibiting the JAK2/STAT3 and NFκB pathways.

NEK2 is a potential pan-cancer biomarker and immunotherapy target

BackgroundNEK2 is a member of the NEKs family and plays an important role in cell mitosis. Increasing evidence suggests that NEK2 is associated with the development of multiple tumors, but systematic studies of NEK2 in cancer are still lacking. Therefore, we evaluated the prognostic value of NEK2 in 33 cancers to elucidate the potential function of NEK2 in pan-cancers.MethodsWe investigated the role of NEK2 in pan-cancers utilizing The Cancer Genome Atlas (TCGA) and the Genotype-Tissue Expression (GTEx) database. Additionally, we analyzed the association between NEK2 gene expression across various cancers, protein expression, the tumor microenvironment (TME), and drug sensitivity using several software and web platforms.The potential oncogenic role of NEK2 was initially explored using bioinformatics methods. Furthermore, we conducted in vitro experiments to preliminarily validate the function of NEK2 in cervical cancer.ResultsNEK2 is overexpressed in almost all tumors, and mutation of NEK2 are associated with a poorer tumor prognosis. In addition, the correlation between NEK2 and immune features such as immune cell infiltration, immune checkpoint genes, tumor mutational burden (TMB), Microsatellite instability(MSI) etc. suggest that NEK2 could potentially be applied in the immunotherapy of tumors.ConclusionNEK2 may be a potential pan-cancer biomarker and immunotherapeutic target for improving the efficacy of tumor therapy.

Discovery of a family of menaquinone-targeting cyclic lipodepsipeptides for multidrug-resistant Gram-positive pathogens

Menaquinone (MK) in bacterial membrane is an attractive target for the development of novel therapeutic agents. Mining the untapped chemical diversity encoded by Gram-negative bacteria presents an opportunity to identify additional MK-binding antibiotics (MBAs). By MK-binding motif searching of bioinformatically predicted linear non-ribosomal peptides from 14,298 sequenced genomes of 45 underexplored Gram-negative bacterial genera, here we identify a novel MBA structural family, including silvmeb and pseudomeb, using structure prediction-guided chemical synthesis. Both MBAs show rapid bacteriolysis by MK-dependent membrane depolarization to achieve their potent activities against a panel of Gram-positive pathogens. Furthermore, both MBAs are proven to be effective against methicillin-resistant Staphylococcus aureus in a murine peritonitis-sepsis model. Our findings suggest that MBAs are a kind of structurally diverse and still underexplored antibacterial lipodepsipeptide class. The interrogation of underexplored bacterial taxa using synthetic bioinformatic natural product methods is an appealing strategy for discovering novel biomedically relevant agents to confront the crisis of antimicrobial resistance.

Unravelling T-cell dynamics and immune responses in initial and recurrent uveitis.

This study aimed to identify novel serological targets and investigate immune responses in patients with non-infectious uveitis, focusing on differences between initial onset and recurrent episodes. Differential gene expression analysis, immunocyte typing and T-cell receptor (TCR) gene analysis were conducted on RNA-sequenced peripheral blood samples from healthy individuals (n = 6) and non-infectious uveitis patients (n = 12), divided into 6 patients each at initial onset and recurrent stages. Peripheral blood T-cell types were analysed using flow cytometry. Bioinformatics methods included tools for RNA sequencing data processing, CIBERSORT for immune cell type prediction and specialized software for TCR repertoire analysis. Findings indicated that individuals with recurrent uveitis demonstrated a stronger adaptive immune response and a more pronounced immune imbalance compared to those with initial onset. Memory T cells were predominant in recurrent episodes, suggesting their potential role as biomarkers for disease progression. Significant differences in TCR diversity and V(D)J gene usage were observed between the various uveitis groups and healthy controls. Importantly, 38 uveitis-specific TCR sequences showed substantial expansion in the uveitis patients compared to controls. An elevated expansion of these specific TCR sequences was associated with an increased risk of uveitis development. The study highlights the critical role of adaptive immune responses and specific immune cell types in the pathogenesis of recurrent uveitis. Identification of the uveitis-specific TCR repertoire set could provide deeper insights into the disease and facilitate the development of targeted therapies for uveitis patients.