Results 141 to 150 of about 177,188 (278)

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

open access: yesAdvanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi   +5 more
wiley   +1 more source

The Gut Microbiota Regulates Motor Deficits via Butyrate in a Gnal+/− Mouse Model of DYT25 Dystonia

open access: yesAdvanced Science, EarlyView.
The present study provides compelling evidence for a modulatory role of the gut microbiota in the pathology of DYT25 dystonia, and butyrate supplementation alleviates the motor deficits of dystonia in Gnal+/− mice. Abstract Dystonia is the third most common movement disorder, following essential tremor and Parkinson's disease. The underlying mechanisms
Jingya Guo   +3 more
wiley   +1 more source

Stress‐Programmed Immune Niches Fuel TNFR2+ Treg Activation and Drive Neoadjuvant Chemotherapy Resistance in Breast Cancer

open access: yesAdvanced Science, EarlyView.
Single‐cell sequencing reveals stress‐programmed immune states driving TNFα–TNFR2–mediated Treg activation and therapy resistance in breast cancer, while targeting this axis restores antitumor immunity. ABSTRACT The tumor microenvironment (TME) harbors diverse immune cell states that shape therapeutic outcomes in breast cancer.
Zhibo Shao   +18 more
wiley   +1 more source

WDR5‐H3K4me3 Epigenetic Axis Promotes TRMT6‐Dependent tRNA M1A Modification to Facilitate Triple‐Negative Breast Cancer Progression by Suppressing Ferroptosis

open access: yesAdvanced Science, EarlyView.
Upregulated TRMT6 forms aberrant hypermethylation of a specific tRNA pool and serves as a predictor of poor prognosis in TNBC. This m1A modification in tRNAs enhances translation of FTH1 and FTL, reducing the pool of bioavailable Fe2⁺. Reduced Fe2+ availability impairs RSL3‐induced lipid peroxidation and tumor progression.
Yuqing Lei   +12 more
wiley   +1 more source

Dual Targeting of Mutant p53 and SNRPD2 via Engineered Exosomes Modulates Alternative Splicing to Suppress Ovarian Cancer

open access: yesAdvanced Science, EarlyView.
Mutant p53 drives oncogenic splicing to promote the progression of ovarian cancer by partnering with the spliceosome factor SNRPD2. Therefore, it is engineered iRGD‐exosomes to co‐deliver siRNAs against both targets. This approach restored tumor‐suppressive mRNA isoforms, effectively enhanced sensitivity to cisplatin, and ultimately blocked tumor ...
Wei Zhao   +14 more
wiley   +1 more source

COMPUTER MODELS OF SUDAN AND GURUSWAMI'S LIST DECODERS FOR GENERALIZED REED-SOLOMON CODES AND CONCATENATED CODES

open access: yesВестник Донского государственного технического университета, 2018
Problem of computer model development of Sudan and Guruswami's list decoders for generalized Reed-Solomon codes and concatenated codes is solved. Strict algorithm of list decoding of concatenated codes is given.
V.V. MKRTICHAN
doaj  

IL4I1⁺ Macrophages and TDO2⁺ Myofibroblasts Drive AhR‐Mediated Immunosuppression and Ferroptosis Resistance in Solid Predominant Lung Adenocarcinoma

open access: yesAdvanced Science, EarlyView.
Solid predominant lung adenocarcinoma exhibits an immune‐excluded, ferroptosis‐resistant niche enriched with IL4I1⁺ TAMs and TDO2⁺ myCAFs. Spatial and multi‐omics analyses reveal AhR‐driven crosstalk that promotes T cell exhaustion and therapy resistance. Blocking AhR with CH‐223191 restores ferroptosis sensitivity, and its combination with ferroptosis
Zhaoxuan Wang   +16 more
wiley   +1 more source

COMPUTER MODELS OF SUDAN AND GURUSWAMI'S LIST DECODERS FOR GENERALIZED REED-SOLOMON CODES AND CONCATENATED CODES

open access: yesAdvanced Engineering Research, 2007
Problem of computer model development of Sudan and Guruswami's list decoders for generalized Reed-Solomon codes and concatenated codes is solved. Strict algorithm of list decoding of concatenated codes is given.
V.V. MKRTICHAN
doaj  

HiST: Histological Images Reconstruct Tumor Spatial Transcriptomics via MultiScale Fusion Deep Learning

open access: yesAdvanced Science, EarlyView.
HiST, a multiscale deep learning framework, reconstructs spatially resolved gene expression profiles directly from histological images. It accurately identifies tumor regions, captures intratumoral heterogeneity, and predicts patient prognosis and immunotherapy response.
Wei Li   +8 more
wiley   +1 more source

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