Diagnostics and Therapy for Malignant Tumors DOI Creative Commons
Chih‐Yang Tsai, Chunyu Wang,

Hasok Chang

et al.

Biomedicines, Journal Year: 2024, Volume and Issue: 12(12), P. 2659 - 2659

Published: Nov. 21, 2024

Malignant tumors remain one of the most significant global health challenges and contribute to high mortality rates across various cancer types. The complex nature these requires multifaceted diagnostic therapeutic approaches. This review explores current advancements in methods, including molecular imaging, biomarkers, liquid biopsies. It also delves into evolution strategies, surgery, chemotherapy, radiation therapy, novel targeted therapies such as immunotherapy gene therapy. Although progress has been made understanding biology, future oncology lies integration precision medicine, improved tools, personalized approaches that address tumor heterogeneity. aims provide a comprehensive overview state diagnostics treatments while highlighting emerging trends lie ahead.

Language: Английский

Direct fibroblast reprogramming: an emerging strategy for treating organic fibrosis DOI Creative Commons

Haohui Lin,

Xia Wang, Manhon Chung

et al.

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

Published: Feb. 27, 2025

Direct reprogramming has garnered considerable attention due to its capacity directly convert differentiated cells into desired cells. Fibroblasts are frequently employed in studies their abundance and accessibility. However, they also the key drivers progression of fibrosis, a pathological condition characterized by excessive extracellular matrix deposition tissue scarring. Furthermore, initial stage typically involves deactivating fibrotic pathways. Hence, direct offers valuable method regenerate target for repair while simultaneously reducing tendencies. Understanding link between fibrosis could help develop effective strategies treat damaged with potential risk fibrosis. This review summarizes advances reveals anti-fibrosis effects various organs such as heart, liver, skin. we dissect mechanisms influenced molecules including TGF-β signaling, mechanical inflammation epigenetic modifiers, metabolic regulators. Innovative methods fibroblast like small molecules, CRISPRa, modified mRNA, challenges cellular heterogeneity senescence faced vivo reprogramming, discussed.

Language: Английский

Citations

1
Single-cell Raman spectroscopy as a novel platform for unveiling the heterogeneity of mesenchymal stem cells DOI
Jingwen Wang,

Yanjun Luo,

Yue Wu

et al.

Talanta, Journal Year: 2025, Volume and Issue: 292, P. 127933 - 127933

Published: March 12, 2025

Language: Английский

Citations

1
In Vivo Time-Resolved Single-Cell RNA-Seq Reveals Chemotherapy-Induced Transcriptional Dynamics in Tumor Infiltrating Lymphocytes DOI
Wenqi Zhu,

Xiangyu Wu,

Zihan Zhao

et al.

Analytical Chemistry, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 5, 2025

Single-cell RNA sequencing (scRNA-seq) using metabolic labeling enables detailed analysis of dynamic gene expression within single cells. However, most studies are limited to in vitro settings, restricting the exploration vivo transcriptomic dynamics. To address this, we developed scDyna-seq, a time-resolved scRNA-seq method for applications 4-thiouridine (4sU) labeling. scDyna-seq efficiently captures nascent RNA, allowing precise tracking both and contexts, including crossing blood–brain blood-fetal barriers. It is also compatible with other single-cell multiomics approaches. In mouse bladder cancer model, revealed that cisplatin (cis-diaminodichloroplatinum, CDDP) induced significant changes tumor-infiltrating lymphocytes, particularly genes related costimulation, effector functions, exhaustion, which were not detected by conventional methods. When coupled scTCR-seq, showed increased TCR clonal expansion linked CDDP-induced immunogenic death neoantigen production. conclusion, offers safe, as well analysis, expanding our understanding cellular dynamics facilitating research health disease.

Language: Английский

Citations

0
Omics and rare diseases: challenges, applications, and future perspectives DOI
Daniela Braconi, Haidara Nadwa, Giulia Bernardini

et al.

Expert Review of Proteomics, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 16, 2025

Introduction Rare diseases (RDs) are a heterogeneous group of recognized as relevant global health priority but posing aspects complexity such as: geographical scattering affected individuals, improper/late diagnosis, limited awareness, difficult surveillance and monitoring, understanding natural history, lack treatment. Usually, RDs have pediatric onset life-long, multisystemic, associated with poor prognosis.

Language: Английский

Citations

0
From multi‐omics to cancer digital twins: Novel paradigm in cancer research and treatment response DOI Creative Commons
Sara Sadat Aghamiri, Rada Amin

Clinical and Translational Discovery, Journal Year: 2025, Volume and Issue: 5(1)

Published: Feb. 1, 2025

Language: Английский

Citations

0
Evaluation and preservation of fertility in patients with hematologic malignancies DOI Creative Commons
Xuan Wang,

Ruihao Huang,

Lei Liu

et al.

Cancer Letters, Journal Year: 2025, Volume and Issue: unknown, P. 217569 - 217569

Published: Feb. 1, 2025

Language: Английский

Citations

0
The role of senescence-related genes in major depressive disorder: insights from machine learning and single cell analysis DOI Creative Commons
Kun Lian,

Wei Yang,

Jing Ye

et al.

BMC Psychiatry, Journal Year: 2025, Volume and Issue: 25(1)

Published: March 3, 2025

Evidence indicates that patients with Major Depressive Disorder (MDD) exhibit a senescence phenotype or an increased susceptibility to premature senescence. However, the relationship between senescence-related genes (SRGs) and MDD remains underexplored. We analyzed 144 samples 72 healthy controls from GEO database compare SRGs expression. Using Random Forest (RF) Support Vector Machine-Recursive Feature Elimination (SVM-RFE), we identified five hub construct logistic regression model. Consensus cluster analysis, based on expression patterns, subclusters of patients. Weighted Gene Co-expression Network Analysis (WGCNA) gene modules strongly linked each cluster. Single-cell RNA sequencing was used analyze functions. The SRGs: ALOX15B, TNFSF13, MARCH 15, UBTD1, MAPK14 showed differential controls. Diagnostics models these demonstrated high accuracy. correlated positively neutrophils negatively T lymphocytes. pattern revealed two distinct subclusters. WGCNA significant within Additionally, individual endothelial cells scores were found interact astrocytes via Notch signaling pathway, suggesting specific role in pathogenesis. This comprehensive study elucidates MDD, highlighting importance pathway mediating effects.

Language: Английский

Citations

0
A semi-supervised non-negative matrix factorization model for scRNA-seq data analysis DOI
Jianghai Lan, Xingxuan Zhuo, Shuai Ye

et al.

Applied Soft Computing, Journal Year: 2025, Volume and Issue: unknown, P. 112982 - 112982

Published: March 1, 2025

Citations

0
Rhythms in Remodeling: Posttranslational Regulation of Bone by the Circadian Clock DOI Creative Commons
Gongsheng Yuan

Biomedicines, Journal Year: 2025, Volume and Issue: 13(3), P. 705 - 705

Published: March 13, 2025

The circadian clock is a fundamental timekeeping system that regulates rhythmic biological processes in response to environmental light–dark cycles. In mammals, core genes (CLOCK, BMAL1, PER, and CRY) orchestrate these rhythms through transcriptional–translational feedback loops, influencing various physiological functions, including bone remodeling. Bone homeostasis relies on the coordinated activities of osteoblasts, osteoclasts, osteocytes, with increasing evidence highlighting role regulation maintaining skeletal integrity. Disruptions are linked disorders such as osteoporosis. Posttranslational modifications (PTMs), phosphorylation, acetylation, ubiquitination, serve crucial regulators both mechanisms metabolism. However, specific PTMs integrating timing remodeling remains underexplored. This review examines intersection biology, elucidating their impact cell function homeostasis. Understanding interactions may uncover novel therapeutic targets for diseases associated disruptions.

Language: Английский

Citations

0
Translational Advances in Oncogene and Tumor-Suppressor Gene Research DOI Open Access
Radoslav Stojchevski,

Edward Agus Sutanto,

R. Sutanto

et al.

Cancers, Journal Year: 2025, Volume and Issue: 17(6), P. 1008 - 1008

Published: March 17, 2025

Cancer, characterized by the uncontrolled proliferation of cells, is one leading causes death globally, with approximately in five people developing disease their lifetime. While many driver genes were identified decades ago, and most cancers can be classified based on morphology progression, there still a significant gap knowledge about genetic aberrations nuclear DNA damage. The study two critical groups genes—tumor suppressors, which inhibit promote apoptosis, oncogenes, regulate survival—can help to understand genomic behind tumorigenesis, more personalized approaches diagnosis treatment. Aberration tumor undergo two-hit loss-of-function mutations, activated forms proto-oncogenes that experience one-hit gain-of-function are responsible for dysregulation key signaling pathways cell division, such as p53, Rb, Ras/Raf/ERK/MAPK, PI3K/AKT, Wnt/β-catenin. Modern breakthroughs genomics research, like next-generation sequencing, have provided efficient strategies mapping unique changes contribute heterogeneity. Novel therapeutic enabled medicine, helping address variability suppressors oncogenes. This comprehensive review examines molecular mechanisms tumor-suppressor they regulate, epigenetic modifications, heterogeneity, drug resistance drive carcinogenesis. Moreover, explores clinical application sequencing techniques, multiomics, diagnostic procedures, pharmacogenomics, treatment prevention options, discussing future directions emerging technologies.

Language: Английский

Citations

0