Results 111 to 120 of about 187,728 (325)
O‐GlcNAcylated TAP1 Impairs Antigen Presentation and Promotes Immune Evasion in Bladder Cancer
This article unveils a critical mechanism of immune evasion in bladder cancer, which the O‐GlcNAc modification of TAP1 disrupts antigen presentation. This modification triggers HLA‐A degradation, shielding tumor cells from CD8+ T cell attack. The findings highlight targeting this pathway as a promising therapeutic avenue to sensitize tumors to ...
Jinpeng Wu +10 more
wiley +1 more source
Optimal alpha reduces error rates in gene expression studies: a meta-analysis approach
Background Transcriptomic approaches (microarray and RNA-seq) have been a tremendous advance for molecular science in all disciplines, but they have made interpretation of hypothesis testing more difficult because of the large number of comparisons that ...
J. F. Mudge +2 more
doaj +1 more source
A single‐cell atlas of pancreatic ductal adenocarcinoma development reveals progressive ductal‐fibroblast‐immune crosstalk. Tumor‐derived LAMB3 drives the formation of immunosuppressive LRRC15+ fibroblasts through the ITGB1/FAK/MAPK/FOSL2 signaling. Glycolytic reprogramming upregulates LAMB3 and correlates with LRRC15+ fibroblast enrichment.
Xuqing Shi +23 more
wiley +1 more source
Background Systemic Lupus Erythematosus (SLE) is a complex, multi-systemic, autoimmune disease for which the underlying aetiological mechanisms are poorly understood. The genetic and molecular processes underlying lupus have been extensively investigated
Wendy Kröger +3 more
doaj +1 more source
Integrating Spatial Proteogenomics in Cancer Research
Xx xx. ABSTRACT Background: Spatial proteogenomics marks a paradigm shift in oncology by integrating molecular analysis with spatial information from both spatial proteomics and other data modalities (e.g., spatial transcriptomics), thereby unveiling tumor heterogeneity and dynamic changes in the microenvironment.
Yida Wang +13 more
wiley +1 more source
A Review Study of Microarray Data Classification with the Application of Dimension Reduction
Background. The growth of gene expression or microarray data, mainly in cancer disease, has become a game changer for feature selection techniques in handling complex data.
Sharifah Nadia Syed Hasan +1 more
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Bayesian meta-analysis for identifying periodically expressed genes in fission yeast cell cycle
The effort to identify genes with periodic expression during the cell cycle from genome-wide microarray time series data has been ongoing for a decade. However, the lack of rigorous modeling of periodic expression as well as the lack of a comprehensive ...
Fan, Xiaodan +2 more
core +1 more source
A Guide for Spatial Omics Technologies: Innovation, Evaluation, and Application
This review presents a strategy‐centric framework for spatial omics technologies, organizing methods by how spatial information is experimentally encoded. It compares key performance trade‐offs across sequencing‐ and imaging‐based approaches, examines computational and practical limitations, and highlights biomedical applications. The analysis provides
Xiaofeng Wu +5 more
wiley +1 more source
KAT7‐acetylated and cytoplasm‐translocated G‐protein GαS enhances IL‐6 effect and drives HCC progenitor cell progression. Abstract Background and Aims Hepatocarcinogenesis goes through HCC progenitor cells (HcPCs) to fully established HCC, and the mechanisms driving the development of HcPCs are still largely unknown.
Ye Zhou +15 more
wiley +1 more source
Automatic Spot Adressing in cDNA Microarray Images
Complementary DNA (cDNA) microarrays are a powerful high throughput technology developed in the last decade allowing researchers to analyze the behaviour and interaction of thousands of genes simultaneously.
Mónica G. Larese, Juan Carlos Gómez
doaj

