Results 231 to 240 of about 861,603 (331)

Single‐Cell RNA Sequencing Identifies MMP11+ Cancer‐Associated Fibroblasts as Drivers of Angiogenesis and Bladder Cancer Progression

open access: yesAdvanced Science, EarlyView.
Single‐cell RNA sequencing identifies MMP11⁺ CAFs as pro‐angiogenic cells accumulating during bladder cancer progression. These cells promote angiogenesis by regulating ESM1⁺ tip endothelial cells and recruiting SPP1⁺ macrophages. Tumor‐derived BMP2 promotes their activation.
Wuwu Xu   +13 more
wiley   +1 more source

HLA‐DR⁺ Tumor Cells Show an Association with a Distinct Immune Microenvironment and CD8⁺ T‐Cell Exhaustion in HBV‐Associated Hepatocellular Carcinoma

open access: yesAdvanced Science, EarlyView.
This study integrates scRNA‐seq, multiplex immunofluorescence, and clinical data to identify HLA‐DR⁺tumor cells uniquely enriched in Hepatocellular carcinoma (HCC) with hepatitis B virus (HBV). These cells express MHC II, associate with PD‐L1, recruit and exhaust CD8⁺T cells, predict poor survival, and serve as potential biomarkers for immunotherapy ...
Jun‐Qing Chang   +17 more
wiley   +1 more source

Loss of STARD7 Triggers Metabolic Reprogramming and Cell Cycle Arrest in Breast Cancer

open access: yesAdvanced Science, EarlyView.
Breast cancer cells undergo metabolic and transcriptomic reprogramming to support aberrant cell proliferation. Their mitochondria rely on the transfer of phosphatidylcholine from the endoplasmic reticulum to their membranes by STARD7, a candidate upregulated in breast cancer, to be functional.
Ewelina Dondajewska   +18 more
wiley   +1 more source

B cell stimulation changes the structure and higher-order organization of the inactive X chromosome. [PDF]

open access: yesCell Rep
Sierra I   +13 more
europepmc   +1 more source

deepTFBS: Improving within‐ and Cross‐Species Prediction of Transcription Factor Binding Using Deep Multi‐Task and Transfer Learning

open access: yesAdvanced Science, EarlyView.
DeepTFBS leverages deep learning to predict transcription factor binding sites across species, integrating multi‐task and transfer learning approaches to improve performance in data‐scarce scenarios. This study demonstrates enhanced accuracy in intra‐ and cross‐species prediction, revealing conserved regulatory patterns and functional variants.
Jingjing Zhai   +8 more
wiley   +1 more source

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