Cited by Bioinformatics Analysis of Single-Cell Transcriptome Based on Prostate Cancer Cancer-Associated Fibroblasts

Single-Cell Sequencing: Genomic and Transcriptomic Approaches in Cancer Cell Biology DOI

Ana Ortega-Batista,

Yanelys Jaén-Alvarado, Dilan Moreno-Labrador

и другие.

International Journal of Molecular Sciences, Год журнала: 2025, Номер 26(5), С. 2074 - 2074

Опубликована: Фев. 27, 2025

This article reviews the impact of single-cell sequencing (SCS) on cancer biology research. SCS has revolutionized our understanding and tumor heterogeneity, clonal evolution, complex interplay between cells microenvironment. provides high-resolution profiling individual in genomic, transcriptomic, epigenomic landscapes, facilitating detection rare mutations, characterization cellular diversity, integration molecular data with phenotypic traits. The multi-omics provided a multidimensional view states regulatory mechanisms cancer, uncovering novel therapeutic targets. Advances computational tools, artificial intelligence (AI), machine learning have been crucial interpreting vast amounts generated, leading to identification new biomarkers development predictive models for patient stratification. Furthermore, there emerging technologies such as spatial transcriptomics situ sequencing, which promise further enhance microenvironment organization interactions. As its related continue advance, they are expected drive significant advances personalized diagnostics, prognosis, therapy, ultimately improving outcomes era precision oncology.

Язык: Английский

Процитировано

Machine learning predictions of tumor progression: How reliable are we? DOI

Molham Sakkal,

Abdallah Abou Hajal

Computers in Biology and Medicine, Год журнала: 2025, Номер 191, С. 110156 - 110156

Опубликована: Апрель 16, 2025

Язык: Английский

Процитировано

Identification of molecular subtypes based on chromatin regulator-related genes and experimental verification of the role of ASCL1 in conferring chemotherapy resistance to breast cancer DOI