Surface Molecular Markers for the Isolation of Viable Fibroblast Subpopulations in the Female Reproductive Tract: A Comprehensive Review DOI Open Access
Krzysztof Łuszczyński, Michał Komorowski, Marta Soszyńska

и другие.

International Journal of Molecular Sciences, Год журнала: 2024, Номер 26(1), С. 233 - 233

Опубликована: Дек. 30, 2024

Advancements in single-cell analyzis technologies, particularly RNA sequencing (scRNA-seq) and Fluorescence-Activated Cell Sorting (FACS), have enabled the of cellular diversity by providing resolutions that were not available previously. These methods enable simultaneous thousands individual transcriptomes, facilitating classification cells into distinct subpopulations, based on transcriptomic differences, adding a new level complexity to biomolecular medical research. Fibroblasts, despite being one most abundant cell types human body forming structural backbone tissues organs, remained poorly characterized for long time. This is largely due high morphological similarity between different fibroblasts lack specific markers identify subpopulations. Once thought be responsible solely synthesis extracellular matrix (ECM) components, are now recognized as active participants diverse physiological processes, including inflammation antimicrobial responses. However, defining molecular profile fibroblast subpopulations remains significant challenge. In this comprehensive review, which over two thousand research articles, we focus identification characterization their surface markers, with an emphasis potential targets selective isolation. By analyzing alongside intra- protein profiles, identified multiple subtypes within female reproductive system. exhibit signatures functional attributes, shaped anatomical localization surrounding or pathological conditions. Our findings underscore heterogeneity roles various biological contexts. improved understanding paves way innovative diagnostic therapeutic strategies, offering precision targeting subsets clinical applications.

Язык: Английский

The axis of tumor-associated macrophages, extracellular matrix proteins, and cancer-associated fibroblasts in oncogenesis DOI Creative Commons
Shu‐Hong Yu,

Siyu Wang,

Xuanyu Wang

и другие.

Cancer Cell International, Год журнала: 2024, Номер 24(1)

Опубликована: Окт. 7, 2024

The extracellular matrix (ECM) is a complex, dynamic network of multiple macromolecules that serve as crucial structural and physical scaffold for neighboring cells. In the tumor microenvironment (TME), ECM proteins play significant role in mediating cellular communication between cancer-associated fibroblasts (CAFs) tumor-associated macrophages (TAMs). Revealing modification TME necessitates intricate signaling cascades transpire among diverse cell populations proteins. advent single-cell sequencing has enabled identification refinement specific subpopulations, which substantially enhanced our comprehension milieu given us high-resolution perspective on diversity However, it essential to integrate data establish coherent framework. this regard, we present comprehensive review relationships ECM, TAMs, CAFs. This encompasses insights into released by TAMs CAFs, integration TAM-ECM-CAF axis, potential applications limitations targeted therapies serves reliable resource focused therapeutic strategies while highlighting intermediates TME.

Язык: Английский

Процитировано

6
Single-Cell RNA Sequencing in Ovarian Cancer: Current Progress and Future Prospects DOI
Zhi Xiong Chong

Progress in Biophysics and Molecular Biology, Год журнала: 2025, Номер unknown

Опубликована: Янв. 1, 2025

Язык: Английский

Процитировано

0
Single‐Nucleus RNA Sequencing and Spatial Transcriptomics for Squamous Cell Carcinoma Arising From Ovarian Mature Teratoma DOI Creative Commons
Kosuke Yoshida, Akira Yokoi, H. Suzuki

и другие.

Cancer Science, Год журнала: 2025, Номер unknown

Опубликована: Фев. 13, 2025

ABSTRACT Squamous cell carcinoma arising from mature teratoma (SCC‐MT) is a rare ovarian malignancy. The detailed molecular pathology of SCC‐MT not well understood. Moreover, the prognosis patients remains poor because no standard treatment has been established. In this study, we performed single‐nucleus RNA sequencing and spatial transcriptomics using clinical samples to identify novel therapeutic candidates. snRNA‐seq revealed three epithelial clusters, which one was significantly associated with epidermis keratinocyte development. that epithelial‐mesenchymal transition inhibited, MYC E2F targets were activated in cancer spots on specimen sections. We focused KLF5, upregulated genes cells, functional analysis NOSCC‐1, line derived an SCC‐MT. KLF5 downregulation decreased proliferation increased apoptosis. Furthermore, previously identified miR‐145‐5p as downregulated miRNA demonstrated overexpression attenuated expression. conclusion, through multi‐omics analyses, unique gene expression profiles determined role for Therefore, KLF5‐related factors may be targets, further studies are needed improve diagnosis

Язык: Английский

Процитировано

0
The Intersections between Neuroscience and Medulloblastoma DOI
Yafei Wang, Ying Yu, Jiahua Yu

и другие.

Cancer Letters, Год журнала: 2025, Номер unknown, С. 217660 - 217660

Опубликована: Март 1, 2025

Язык: Английский

Процитировано

0
Hyperinflammatory repolarisation of ovarian cancer patient macrophages by anti-tumour IgE antibody, MOv18, restricts an immunosuppressive macrophage:Treg cell interaction DOI Creative Commons
Gabriel Osborn, Jacobo López‐Abente, Rebecca Adams

и другие.

Nature Communications, Год журнала: 2025, Номер 16(1)

Опубликована: Апрель 10, 2025

Язык: Английский

Процитировано

0
Integrated analysis of single-cell and bulk transcriptome reveals hypoxia-induced immunosuppressive microenvironment to predict immunotherapy response in high-grade serous ovarian cancer DOI Creative Commons
Qingshan Chen, Yue Zhang, Chao Wang

и другие.

Frontiers in Pharmacology, Год журнала: 2024, Номер 15

Опубликована: Ноя. 13, 2024

Background Hypoxia is significantly associated with cancer progression and treatment outcomes. Nevertheless, the precise molecular mechanisms underlying hypoxia-induced immunosuppressive microenvironment in high-grade serous ovarian (HGSOC) are still not fully understood. Methods By analyzing five independent transcriptomic datasets, we investigated effect of hypoxia on prognosis tumor (TME) HGSOC. The levels intercellular communication signaling pathways were studied by using single-cell analysis. Furthermore, Hypoxia-TME classifier was developed then validated multiple HGSOC datasets. In addition, also prognostic significance, genetic variations, pathways, potential for immunotherapy benefits different subgroups. Results identified as a crucial risk factor HGSOC, strongly correlated an characterized alterations composition distribution immune cells. Single-cell analysis elucidated heterogeneity inherent within TME demonstrated association between hypoxic fibroblasts well macrophages. CellChat SPP1-CD44 CXCL12-CXCR4 principal axes through which macrophages interact T cells, respectively. Moreover, personalized constructed integration (18 genes) (7 cells) scores. It observed that patients low /TME high subgroup displayed better than other Different subgroups exhibited unique genomic variations pathway differences, including TGF-β Wnt/β-catenin closely various biological functions. Finally, our results indicated exhibit response to immunotherapy, suggesting utility new biomarker Conclusion Our study revealed microenvironment, distinguish prognosis, characteristics,

Язык: Английский

Процитировано

1
Prognostic Model Construction Based on Platinum-Free Interval in Ovarian Cancer and Its Implication for Chemotherapy Resistance DOI Creative Commons
Yang Zhang,

Jihui Kang,

Chuling Wu

и другие.

medRxiv (Cold Spring Harbor Laboratory), Год журнала: 2024, Номер unknown

Опубликована: Дек. 3, 2024

Abstract Background While platinum sensitivity and resistance have long been central to treatment decisions in high-grade serous ovarian cancer (HGSOC), these categories are increasingly questioned real-world clinical settings. This study seeks develop a prognostic model based on platinum-free interval (PFI) as reliable indicator of patient prognosis, with additional exploration chemotherapy resistance-related genes pathways. Methods 70 HGSOC patients varied gene expression profiles corresponding information platinum-based responses were analysed. We first identified PFI-related (PRGs) that constituted predictive signature for by using univariate COX LASSO regression analysis. determined the optimal PFI indicative linear correlation equations between levels PFI. time point was then employed categorize into cohorts good poor followed an analysis differentially expressed (DEGs) their enriched Additionally, we utilized public available drug database evaluate chemotherapeutic agents effective against prognosis group. Results A comprising 10 PRGs (TUBA4A, ENSG00000232325.3, ENSG00000268080.1, KCNK9, ENSG00000230567.3, CST6, KNTC1, LINC02167, ENSG00000267469.1, NKAIN4) established. Patients within high-risk category defined this exhibited poorer earlier recurrence than low-risk The had robust accuracy predicting area under curve value >0.90. estimated threshold 22.37 months, which serves cutoff further differentiate groups prognosis. KEGG pathways enrichment revealed taurine hypotaurine metabolism, melanogenesis, Cushing syndrome, mTOR signaling also performed assessment found from group more sensitive anti-cancer drugs such Pevonedistat GDC0810 Conclusions Our constructed explored its implications resistance. These findings could enhance applications inform novel anticancer therapeutic strategies targeting HGSOC.

Язык: Английский

Процитировано

0
Surface Molecular Markers for the Isolation of Viable Fibroblast Subpopulations in the Female Reproductive Tract: A Comprehensive Review DOI Open Access
Krzysztof Łuszczyński, Michał Komorowski, Marta Soszyńska

и другие.

International Journal of Molecular Sciences, Год журнала: 2024, Номер 26(1), С. 233 - 233

Опубликована: Дек. 30, 2024

Advancements in single-cell analyzis technologies, particularly RNA sequencing (scRNA-seq) and Fluorescence-Activated Cell Sorting (FACS), have enabled the of cellular diversity by providing resolutions that were not available previously. These methods enable simultaneous thousands individual transcriptomes, facilitating classification cells into distinct subpopulations, based on transcriptomic differences, adding a new level complexity to biomolecular medical research. Fibroblasts, despite being one most abundant cell types human body forming structural backbone tissues organs, remained poorly characterized for long time. This is largely due high morphological similarity between different fibroblasts lack specific markers identify subpopulations. Once thought be responsible solely synthesis extracellular matrix (ECM) components, are now recognized as active participants diverse physiological processes, including inflammation antimicrobial responses. However, defining molecular profile fibroblast subpopulations remains significant challenge. In this comprehensive review, which over two thousand research articles, we focus identification characterization their surface markers, with an emphasis potential targets selective isolation. By analyzing alongside intra- protein profiles, identified multiple subtypes within female reproductive system. exhibit signatures functional attributes, shaped anatomical localization surrounding or pathological conditions. Our findings underscore heterogeneity roles various biological contexts. improved understanding paves way innovative diagnostic therapeutic strategies, offering precision targeting subsets clinical applications.

Язык: Английский

Процитировано

0