Raman-Based Machine Learning Platform Reveals Unique Metabolic Differences Between IDHmut and IDHwt Glioma

Study on Metabolic Differences between IDH Mutant and Wild-type Glioma Cells Using Raman Spectroscopy and Machine Learning Platform Background Introduction In the diagnosis and treatment of gliomas, formalin-fixed, paraffin-embedded (FFPE) tissue sections are commonly used. However, due to background noise interference from the embedding medium, th...

Representation of Genomic Intratumor Heterogeneity in Multi-Region Non-Small Cell Lung Cancer Patient-Derived Xenograft Models

Manifestations of Genomic-Level Intratumoral Tumor Heterogeneity in Multi-Region Patient-Derived Xenograft Models of Non-Small Cell Lung Cancer Academic Background and Research Motivation Patient-Derived Xenograft (PDX) models are widely used in cancer research. PDX models are established by transplanting human tumors into immunodeficient mice. The...

Systematic analysis of NDUFAF6 in Complex I Assembly and Mitochondrial Disease

Systematic Analysis of NDUFAF6 in Complex I Assembly and Mitochondrial Disease Background Mitochondrial complex I (CI) is a crucial component of the respiratory chain, playing an essential role in oxidative phosphorylation (OXPHOS) by introducing electrons into the mitochondrial respiratory chain and, together with complexes II-IV, generating and m...

Lipid Unsaturation Promotes Bax and Bak Pore Activity During Apoptosis

Unsaturation of Fatty Acids Promotes Pore-Forming Activity of Bax and Bak in Apoptosis Background Apoptosis is the major form of programmed cell death, involved in fundamental biological processes such as embryonic development, tissue homeostasis, and immune system functions. Dysregulation of apoptosis can lead to neurodegenerative diseases and tum...

Diffusion-based Deep Learning Method for Augmenting Ultrastructural Imaging and Volume Electron Microscopy

Diffusion-based Deep Learning Method for Augmenting Ultrastructural Imaging and Volume Electron Microscopy

Enhancing Super-Resolution Imaging and Volume Electron Microscopy with Deep Learning Algorithms Based on Diffusion Models Background Introduction Electron Microscopy (EM) as a high-resolution imaging tool has made significant breakthroughs in cell biology. Traditional EM techniques are primarily used for two-dimensional imaging, and although they h...

Acetate Reprogrammes Tumour Metabolism and Promotes PD-L1 Expression and Immune Evasion by Upregulating c-Myc

Acetate Reprogrammes Tumour Metabolism and Promotes PD-L1 Expression and Immune Evasion by Upregulating c-Myc

Acetate Reprograms Tumor Metabolism and Promotes Immune Evasion and PD-L1 Expression by Upregulating c-myc Introduction Reprogramming of tumor metabolism is of great significance in cancer research, and acetate plays a crucial role in this process. In tumor cells, acetate is an important precursor of acetyl-CoA, which is used for energy production,...