Results 251 to 260 of about 407,505 (399)

Multi-omics analysis predicts fibronectin 1 as a prognostic biomarker in glioblastoma multiforme

, 2022
Farzana Kabir, Mohd Nazmul Hasan Apu
openalex   +1 more source

PBRM1 Deficiency Reshapes an Immune Suppressive Microenvironment Through Epigenetic Tuning of PBRM1‐KDM5C‐IL6 Axis in ccRCC

Advanced Science, EarlyView.
PBRM1 ranks as the second most commonly mutated gene in ccRCC. This study reveals that PBRM1 loss promotes an immunosuppressive microenvironment by elevating M2 TAMs via the KDM5C–IL‐6 axis. These M2 TAMs, along with CAFs, form a barrier that excludes CD8+ T cells. Targeting IL‐6 synergizes with anti‐PD1 therapy, offering a promising strategy for PBRM1‐
Wenjiao Xia, Hongru Wang, Yu Dong, Zitong Yang, Yiyang Zhou, Zhinan Xia, Qinchen Li, Liangliang Ren, Yichun Zheng, Junliang Yan, Dongmei Ma, Zhi Chen, Xingang Cui, Guixin Zhu, Cheng Zhang   +14 more
wiley   +1 more source

Editorial: Multi-omics approaches in disease microbiology: from biomarkers to therapeutic interventions. [PDF]

Front Microbiol
Lahiri C, Banerjee D, Madamwar D, Deb C.
europepmc   +1 more source

Harpagide Confers Protection Against Acute Lung Injury Through Multi-Omics Dissection of Immune–Microenvironmental Crosstalk and Convergent Therapeutic Mechanisms [PDF]

Hong Wang, Jicheng Yang, Yusheng Zhang, Jie Wang, Sang Hun Song, Long‐Hui Gao, Mei Liu, Zhiliang Chen, Xianyu Li   +8 more
openalex   +1 more source

Image Fusion for Super‐Resolution Mass Spectrometry Imaging of Plant Tissue

Advanced Science, EarlyView.
A loss controlled residual network (LCRN) workflow is developed for super‐resolution fusion of plant mass spectrometry imaging data. LCRN uses a novel edge perceptual loss metric to preserve complex plant tissue morphology. LCRN achieves up to 20‐fold magnification while effectively combining chemical information from mass spectrometry with ...
Yuchen Zou, Shipeng Sun, Weiwei Tang, Bin Li   +3 more
wiley   +1 more source

A new paradigm in postoperative colorectal cancer surveillance: integrating advanced imaging and multi-omics. [PDF]

Front Physiol
Yu D, Tai J.
europepmc   +1 more source

Omics

, 2012
openaire   +1 more source

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

Advanced 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, Mohammad Mahdi Hosseini, Ahmadreza Argha, Roxana Zahedi, Nigel H. Lovell, Hamid Alinejad‐Rokny   +5 more
wiley   +1 more source

MoAGNN: a multi-omics hierarchical graph neural network for subtype classification and prognosis prediction in lung adenocarcinoma. [PDF]

Brief Bioinform
Lin CP, Ho YJ, Chiu YP, Tang Y, Paik YS, Chen GT, Huang WC, Lee TY.   +7 more
europepmc   +1 more source

Additional file 1: Tables S1-S14. of Multi-omics of 34 colorectal cancer cell lines - a resource for biomedical studies

, 2017
Kaja Berg, Peter W. Eide, Ina A. Eilertsen, Bjarne Johannessen, Jarle Bruun, Stine A. Danielsen, Merete BjĂ ̧Rnslett, Leonardo A. Meza‐Zepeda, Mette EknĂŚs, Guro E. Lind, Ola Myklebost, Rolf I. Skotheim, Anita Sveen, Ragnhild A. Lothe   +13 more
openalex   +1 more source