Construction and Validation of a Novel T/NK-Cell Prognostic Signature for Pancreatic Cancer Based on Single-Cell RNA Sequencing DOI
Yu Wang, Cong Zhang, Jianlu Zhang

et al.

Cancer Investigation, Journal Year: 2024, Volume and Issue: 42(10), P. 876 - 892

Published: Nov. 10, 2024

Background Evidence with regards to the distinction between primary and metastatic tumors in pancreatic cancer driving factors for metastases remains limited.

Language: Английский

Comparison of saliva and blood derived cell free RNAs for detecting oral squamous cell carcinoma DOI Creative Commons
Yuan Hu,

Manbin Xu,

Muyuan Liu

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: Feb. 7, 2025

Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancer types around world. Although OSCC can be diagnosed or monitored through tissue biopsy, this invasive procedure could cause considerable pain and discomfort to patients. As a preferable alternative, liquid biopsy offers less diagnostics. In our study enhance detection, we analyzed cell-free RNA (cfRNA) transcriptomes (mRNA, lncRNA) from blood (plasma) saliva samples individuals in three groups: group, oral benign tumor normal control group. Our transcriptomic profiling revealed that CLEC2B was notably upregulated group compared others, while DAZL, F9, AC008735.2 were markedly downregulated. However, no OSCC-specific RNAs identified samples. Furthermore, showed higher neutrophil infiltration lower B cells, CD4 + T cells (non-regulatory) regulatory (Tregs) environment when groups. This suggests might better medium over for cfRNA on detecting OSCC. CLEC2B, may serve as potential diagnostic biomarkers OSCC, warranting further investigation.

Language: Английский

Citations

0

Integrated bulk and single-cell RNA sequencing to identify potential biomarkers in intervertebral disc degeneration DOI Creative Commons

Chunyang Fan,

Wei Xu, Xuefeng Li

et al.

European journal of medical research, Journal Year: 2025, Volume and Issue: 30(1)

Published: Feb. 14, 2025

Nucleus pulposus (NP) deterioration plays a significant role in the development of intervertebral disc degeneration (IVDD) and low back pain (LBP). This paper aims to identify potential genes within degenerated NP tissue elucidate pathogenesis IVDD through bioinformatics analysis. We conducted transcriptomic analysis patient's degenerative employing advanced techniques machine learning algorithms. Utilizing hdWGCNA, we successfully acquired WGCNA single-cell sequencing data pinpointed crucial implicated IVDD. Subsequently, employed Monocle3 package perform pseudotime sequence analysis, enabling identification associated with differentiation developmental processes tissue. Following this, normalized logarithmically transformed bulk data. preliminary screening using single-factor logistic regression on derived from sequencing. Next, applied two techniques, namely, SVM–RFE random forest, discern pivotal pathogenic genes. Finally, used validation sets verify trends qualitativeness performed vitro vivo analyses normal tissues. 909 were identified while uncovered 1964 related processes. The had 208 common. an initial by integrating database single regression. utilized CDH, DPH5, SELENOF. PCR confirmed that expression CDH DPH5 degraded nucleus cells (NPCs) was decreased 31% 28% vivo, 36% 29% vitro, respectively, SELENOF showed opposite trend. Furthermore, validated imaging histological staining. As IVDD, our findings indicate CTH, are important players might be promising therapeutic targets for treatment.

Language: Английский

Citations

0

Role of CD4+ T cells in cancer immunity: a single-cell sequencing exploration of tumor microenvironment DOI Creative Commons

Qi An,

Li Duan, Yuanyuan Wang

et al.

Journal of Translational Medicine, Journal Year: 2025, Volume and Issue: 23(1)

Published: Feb. 14, 2025

Recent oncological research has intensely focused on the tumor immune microenvironment (TME), particularly functions of CD4 + T lymphocytes. CD4+ lymphocytes have been implicated in antigen presentation, cytokine release, and cytotoxicity, suggesting their contribution to dynamics TME. Furthermore, application single-cell sequencing yielded profound insights into phenotypic diversity functional specificity cells In this review, we discuss current findings from analyses, emphasizing heterogeneity cell subsets implications immunology. addition, review critical signaling pathways molecular networks underpinning activities, thereby offering novel perspectives therapeutic targets strategies for cancer treatment prognosis.

Language: Английский

Citations

0

Cytokine-based immunotherapy in pancreatic cancer DOI

Andrés Gordo-Ortiz,

Inés Ortiz-de-Solórzano,

Flor Navarro

et al.

International review of cell and molecular biology, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

0

Multidimensional transcriptomics based to illuminate the mechanisms of taurine metabolism in immune resistance of pancreatic cancer DOI Creative Commons

Zongshuai Qin,

Gui‐Xiang Huang, Jian Xu

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 16

Published: March 31, 2025

Pancreatic cancer, a highly malignant tumor of the digestive system, is characterized by microenvironment with high degree immunosuppression. This immunosuppressive property poses significant challenges, as it hampers effective infiltration immune cells and impairs their ability to exert cytotoxic effects. The metabolic process taurine has emerged crucial factor in modulating functions activities cells. Intervening metabolism holds potential reshape microenvironment, thereby enhancing recognize eliminate To explore therapeutic relationship between disorders pancreatic cancer immunotherapy, we employed multiple software packages, including "Seurat", "DoubletFinder", "Harmony", "GSVA", "CellChat" analyze single-cell data spatial transcriptomic cancer. In present study, four distinct cell subsets, namely RPS4Y1+ cells, LYZ+ CPE+ MKI67+ were identified for first time. CNV score highlighted role within Through cell-communication analysis, crosstalk among fibroblasts, CD8+ T was identified, offering novel insights into immunotherapy strategies, which strengthened co-localization analysis transcriptomics. Furthermore, conducting combined survival data, LY6D target. co-culture experiments uncovered underlying mechanism regulating imbalance establishment "taurine-immune crosstalk" criteria this study effectively paves way immunotherapy. conclusion, current research underscores significance Targeting may represent approach reversing "stiff-cancer" characteristics

Language: Английский

Citations

0

Identification of signature genes and relationship with immune cell infiltration in intervertebral disc degeneration DOI Creative Commons
Kun Mu, Jingshu Geng, Yu Dong

et al.

Frontiers in Genetics, Journal Year: 2025, Volume and Issue: 16

Published: April 9, 2025

Early diagnosis of intervertebral disc (IVD) degeneration is great significance for prevention the disease from progressing to a serious stage. This study aimed investigate signature genes and their association with immune cells in IVD degeneration. We analyzed differentially expressed (DEGs) dataset samples GEO database. Weighted gene coexpression network analysis (WGCNA) DEGs were employed pinpoint key modules genes. Functional enrichment was performed these Signature identified using least absolute shrinkage selection operator (LASSO) analysis. Gene set (GSEA) used explore signaling pathways related genes, CIBERSORT® classify cell infiltration. Function hub confirmed by PCR, Western blotting ELISA. 2,254 GSE56081, WGCNA grouped data into 9 modules. MEbrown module had significant correlation (cor = 0.99, P 8.00 × 10-8). LASSO selected HSPA1B, TOB1, ECM1, PTTG1IP as excellent diagnostic efficiency. Furthermore, we assessed efficacy every predicting an external validation group (GSE70362). The results showed that two (TOB1, ECM1) effect IVD. GSEA TOB1 ECM1 involve NOD like receptor pathway, phenylalanine metabolism. Ether lipid metabolism, glycosaminoglycan biosynthesis keratin sulfate, RNA degradation pathway. suggested may participate Finally, crucial molecule process NP pyroptosis NLRP3 inflammasome activation. show remarkable performance be implicated infiltration cells.

Language: Английский

Citations

0

Inflammatory Cell Interactions in the Rotator Cuff Microenvironment: Insights From Single‐Cell Sequencing DOI Creative Commons
Wencai Liu, Xinyu Wang, Yuhao Yu

et al.

International Journal of Genomics, Journal Year: 2025, Volume and Issue: 2025(1)

Published: Jan. 1, 2025

Rotator cuff injuries are a common cause of shoulder pain and dysfunction, with chronic inflammation complicating recovery. Recent advances in single‐cell RNA sequencing (scRNA‐seq) have provided new insights into the immune cell interactions within rotator microenvironment during injury healing. This review focuses on application scRNA‐seq to explore roles nonimmune cells, including macrophages, T‐cells, fibroblasts, myofibroblasts, driving inflammation, tissue repair, fibrosis. We discuss how crosstalk extracellular matrix influence progression healing or pathology. Single‐cell analyses identified distinct molecular signatures associated which may contribute persistent damage. Additionally, we highlight therapeutic potential targeting emphasizing personalized medicine approaches. Overall, integration studying enhances our understanding cellular mechanisms involved offers perspectives for developing targeted treatments regenerative medicine.

Language: Английский

Citations

0

Integrated multi-omics and artificial intelligence to explore new neutrophils clusters and potential biomarkers in sepsis with experimental validation DOI Creative Commons
Peng Xu, Tao Zuo, Cheng Zhang

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: May 29, 2024

Background Sepsis, causing serious organ and tissue damage even death, has not been fully elucidated. Therefore, understanding the key mechanisms underlying sepsis-associated immune responses would lead to more potential therapeutic strategies. Methods Single-cell RNA data of 4 sepsis patients 2 healthy controls in GSE167363 set were studied. The pseudotemporal trajectory analyzed neutrophil clusters under sepsis. Using hdWGCNA method, gene modules neutrophils explored. Multiple machine learning methods used screen validate hub genes for neutrophils. SCENIC was then explore transcription factors regulating genes. Finally, quantitative reverse transcription-polymerase chain reaction mRNA expression peripheral blood two mice models. Results We discovered novel subtypes with a significant increase These enriched late state during differentiation. analysis unveiled that 3 distinct (Turquoise, brown, blue modules) closely correlated subtypes. 8 revealed high accuracy robustness (ALPL, ACTB, CD177, GAPDH, SLC25A37, S100A8, S100A9, STXBP2). APLP, STXBP2 associated various transcriptional factors. ALPL, significantly up regulated CLP LPS-induced Conclusions Our research new five provide biomarkers targeting treatment

Language: Английский

Citations

3

Immunosenescence in digestive system cancers: mechanisms, research advances, and therapeutic strategies DOI

Junyan Zhang,

Xiaojiao Guan,

Xinwen Zhong

et al.

Seminars in Cancer Biology, Journal Year: 2024, Volume and Issue: 106-107, P. 234 - 250

Published: Nov. 1, 2024

Language: Английский

Citations

2

TFF3 and PVRL2 co-targeting identified by multi-omics approach as an effective cancer immunosuppression strategy DOI Creative Commons
Peng Huang, Tesfaye Wolde, Vipul Bhardwaj

et al.

Life Sciences, Journal Year: 2024, Volume and Issue: unknown, P. 123113 - 123113

Published: Oct. 1, 2024

Language: Английский

Citations

1