GSECA showed that, in prostate cancer, PTEN loss appears to establish an immunosuppressive tumor microenvironment through the activation of STAT3, and low PTEN expression levels have a detrimental impact on patient disease-free survival.
Background Breast cancer is a molecularly heterogeneous disease characterized by diverse transcriptional programs across tumor subtypes. RNA sequencing (RNA-seq) has become a central tool for profiling these alterations; however, variability in data processing pipelines can introduce inconsistencies in downstream analy...
Understanding the relationship between gene expression and protein abundance is central to molecular and systems biology. While gene expression reflects transcriptional activity, proteins are the functional molecules that determine cellular phenotypes. However, numerous post-transcriptional and translational regulatory...
MZT1 is a proliferation-associated marker that integrates clinical risk, transcriptional programs, cellular heterogeneity, and predictive modeling in LUAD, providing a potential framework for biomarker development and risk stratification.
Dahlak Daniel Solomon, Hui-Ru Lin, Yung-Kuo Lee et al.· Cancer Genomics & Proteomics· 0 citations
Diabetic nephropathy (DN) arises through complex pathological mechanisms that remain incompletely understood. This study employs transcriptomic and single-cell RNA sequencing (scRNA-seq) approaches to systematically characterize gene expression patterns, cellular composition changes, and intercellular communication net...
Li Qin, Yan Liang, Li-Ying Xuan et al.· American Journal of Nephrolo...· 0 citations
The potential of single-cell miRNA profiling to contribute to precision medicine and therapeutic development is outlined, including its possible use in biomarker discovery, monitoring tumor heterogeneity, and informing personalized treatment strategies.
C. Goda, Shaopeng Gu, A. Ma et al.· Methods in molecular biology· 0 citations
This chapter covers quality control, normalization, sparse data handling, and transcript quantification for both bulk and snRNA-seq, along with strategies to address challenges such as multi-mapped reads and batch effects, and examines how artificial intelligence and machine learning techniques can improve data process...
S. P. Dharshini, Y.-H. Taguchi, M. Gromiha· Methods in molecular biology· 0 citations
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