Results 121 to 130 of about 170,479 (217)

Development of Chimeric Antigen Receptor-Modified NK Cells for the Immunotherapy of Adult T-Cell Leukemia/Lymphoma. [PDF]

open access: yesEur J Haematol
Uchida Y   +7 more
europepmc   +1 more source

DDX21 Enhances Radiosensitivity in Head and Neck Squamous Cell Carcinoma by Suppressing MK2‐Mediated DNA Damage Response

open access: yesAdvanced Science, EarlyView.
DDX21 suppresses MK2 activation by directly inhibiting Thr334 phosphorylation in a p38‐independent manner, thereby impairing DNA damage response. Clinically, patients with well‐differentiated tumors exhibiting high DDX21 expression are more likely to benefit from adjuvant radiotherapy, whereas those with low DDX21 levels are predisposed to ...
Tianru Yang   +8 more
wiley   +1 more source

SAV1 in Cooperation With FKBP52 Participates in Implantation

open access: yesAdvanced Science, EarlyView.
The MST‐SAV1 complex modulates FKBP52 phosphorylation to fine‐tune PR activity, ensuring timely uterine transition to receptivity under estrogen signaling for implantation. Stromal SAV1 scaffolds MST1/2‐mediated FKBP52 phosphorylation via noncanonical Hippo to promote PR activity.
Yuhan Shao   +10 more
wiley   +1 more source

Nuclear IDH3A Drives Transcriptional Programs in Melanoma via the YBX1–JUN/FOS Axis

open access: yesAdvanced Science, EarlyView.
Genomic amplification drives aberrant nuclear localization of IDH3A in melanoma. Independent of its canonical metabolic activity, nuclear IDH3A cooperates with YBX1 to activate the c‐JUN/c‐FOS transcriptional program, while NONO facilitates its nuclear localization.
Juan Ran   +10 more
wiley   +1 more source

A Robust Deep Temporal Causal Discovery Platform for Single‐Cell Gene Regulatory Network Reconstruction

open access: yesAdvanced Intelligent Discovery, EarlyView.
scTIGER2.0 is a deep‐learning framework that infers gene regulatory networks from single‐cell RNA sequencing data. By integrating correlation, pseudotime ordering, deep learning and bootstrap‐based significance testing, it reduces false positives and reveals directional gene interactions.
Nishi Gupta   +3 more
wiley   +1 more source

Clinically Informed Intelligent Classification of Ovarian Cancer Cells by Label‐Free Holographic Imaging Flow Cytometry

open access: yesAdvanced Intelligent Systems, Volume 7, Issue 3, March 2025.
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone   +11 more
wiley   +1 more source

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