Results 261 to 270 of about 1,067,293 (391)

Cinobufagin Directly Targets PDE4D to Disrupt Fibroblast–Dendritic Cell Crosstalk in Atopic Dermatitis

open access: yesAdvanced Science, EarlyView.
Single‐cell RNA sequencing revealed that MIF signaling drives inflammatory fibroblastmyeloid cell crosstalk in atopic dermatitis. Cinobufagin, a potent PDE4D inhibitor, suppresses MIF and reduces inflammation by restoring the cAMP/PKA/CREB pathway. Genetic knockout validates PDE4D as a key driver and promising therapeutic target for atopic dermatitis ...
Shicong Li   +14 more
wiley   +1 more source

Somatic mutations in STAG2 are associated with separated megakaryocyte nuclear lobes in myelodysplastic syndromes. [PDF]

open access: yesBlood Adv
Wong WJ   +10 more
europepmc   +1 more source

Single‐Cell Transcriptomics Unravels Growth Factor Erv1‐Like Mediated Ferroptosis as a Key Driver of Intestinal Epithelial Dysfunction in Ulcerative Colitis

open access: yesAdvanced Science, EarlyView.
Single‐cell transcriptomic profiling of ulcerative colitis (UC) tissues identified downregulation of GFER in intestinal epithelial cells. Mechanistically, GFER interacts with PCBP1 to help maintain intracellular iron homeostasis and may also reduce lipid peroxidation by activating the PGC‐1α/PPARγ signaling pathway, thereby inhibiting ferroptosis ...
Ya Song   +5 more
wiley   +1 more source

Myeloid ZNRF1 suppresses autoimmune demyelination and neuroinflammation by regulating MHC-II-mediated T cell activation. [PDF]

open access: yesJ Neuroinflammation
Chang YC   +9 more
europepmc   +1 more source

Blood signals: from birth to disease and death

open access: yes, 2014
Bowman, T.   +6 more
core   +1 more source

Juvenile myeloid leukemia with fetal erythropoiesis [PDF]

open access: bronze, 1972
Yehudah Shapira   +3 more
openalex   +1 more source

Predicting Immunotherapy Outcomes in NSCLC Using RNA and Pathology from Multicenter Clinical Trials

open access: yesAdvanced Science, EarlyView.
LIRA, a machine learning‐based model, is developed using transcriptomic data from 891 NSCLC patients in the OAK and POPLAR cohorts. Its predictive performance is validated in multiple external cohorts. Patients stratified by LIRA‐score exhibit distinct clinical characteristics and tumor microenvironment profiles.
Zhaojun Wang   +32 more
wiley   +1 more source

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