Results 221 to 230 of about 3,887,902 (293)

Targeting TNBC: core–shell polycationic polyurea dendrimers with inherent anticancer activity

FEBS Open Bio, EarlyView.
Core–shell polycationic PURE dendrimers were tested in TNBC‐derived tumor models. Both formulations selectively targeted TNBC and effectively reduced tumor volume. PUREG4‐OEI48 suppressed tumor growth without detectable toxicity, whereas PUREG4‐OCEI24, despite showing efficacy, induced hepatic toxicity.
Adriana Cruz, Bruna Abreu, Cindy Mendes, Catarina Freitas‐Dias, Filipe Gonçalves, Fernanda Silva, José Ramalho, Saudade André, Vasco D. B. Bonifácio, Jacinta Serpa   +9 more
wiley   +1 more source

Unveiling Immune Response Mechanisms in Mpox Infection Through Machine Learning Analysis of Time Series Gene Expression Data. [PDF]

Life (Basel)
Ma Q, Zhou X, Chen L, Feng K, Bao Y, Guo W, Huang T, Cai YD.   +7 more
europepmc   +1 more source

Down‐regulation of Shh in the hair follicles of mice during chemotherapy‐induced hair loss is mediated by the JAK/STAT1 signaling pathway

FEBS Open Bio, EarlyView.
We found that during chemotherapy‐induced alopecia (CIA), Sonic hedgehog (Shh) expression significantly decreased in hair follicle Shh+ cells, whereas the Janus‐activated kinase/signal transducer and activator of transcription 1 (JAK/STAT1) signaling pathway was markedly activated.
Ruifang Fan, Jingling Huang, Xiang Lin, Tingjiao Lan, Yuli Tang, Ling Sun, Guixuan Zhou   +6 more
wiley   +1 more source

Integrative analysis of CRISPR screening and gene expression data identifies a three-gene prognostic model associated with immune microenvironment in neuroblastoma. [PDF]

Transl Cancer Res
Li X, Li W, Wang J.
europepmc   +1 more source

Automated FRAP microscopy for high‐throughput analysis of protein dynamics in chromatin organization and transcription

FEBS Open Bio, EarlyView.
RoboMic is an automated confocal microscopy pipeline for high‐throughput functional imaging in living cells. Demonstrated with fluorescence recovery after photobleaching (FRAP), it integrates AI‐driven nuclear segmentation, ROI selection, bleaching, and analysis.
Selçuk Yavuz, Bart Geverts, Johan A. Slotman, Andrea Sacchetti, Stefan Prekovic, Martin E. van Royen, Adriaan B. Houtsmuller   +6 more
wiley   +1 more source

Framework for Race-Specific Prostate Cancer Detection Using Machine Learning Through Gene Expression Data: Feature Selection Optimization Approach. [PDF]

JMIR Bioinform Biotechnol
Agustriawan D, Mulia A, Overbeek MV, Kurniawan V, Syechlo J, Widjaja M, Ahmad MI.   +6 more
europepmc   +1 more source

SIRT4 positively regulates autophagy via ULK1, but independently of HDAC6 and OPA1

FEBS Open Bio, EarlyView.
Cells expressing SIRT4 (H161Y), a catalytically inactive mutant of the sirtuin SIRT4, fail to upregulate LC3B‐II and exhibit a reduced autophagic flux under stress conditions. Interestingly, SIRT4(H161Y) promotes phosphorylation of ULK1 at S638 and S758 that are associated with inhibition of autophagy initiation.
Isabell Lehmkuhl, Khawar Amin, Lydia Gabriel, Nils Hampel, Afshin Iram, Julia Hesse, Constanze Wiek, Jasmin Thuy Vy Nguyen, Helmut Hanenberg, Jürgen Scheller, M. Reza Ahmadian, Björn Stork, Doreen M. Floss, Roland P. Piekorz   +13 more
wiley   +1 more source

OrthologAL: a Shiny application for quality-aware humanization of non-human pre-clinical high-dimensional gene expression data. [PDF]

Bioinformatics
Chowdary R, Suter RK, D'Antuono M, Gomes C, Stein J, Lee KB, Lee JK, Ayad NG.   +7 more
europepmc   +1 more source

Metformin promotes mitochondrial integrity through AMPK‐signaling in Leber's hereditary optic neuropathy

FEBS Open Bio, EarlyView.
Metformin mediates mitochondrial quality control in Leber's hereditary optic neuropathy (LHON) fibroblasts carrying mtDNA mutations. At therapeutic levels, metformin activates AMPK signaling to restore mitochondrial dynamics by promoting fusion and restraining fission, while preserving mitochondrial mass, enhancing autophagy/mitophagy and biogenesis ...
Chatnapa Panusatid, Rapasviranda Soiyangsuk, Maneeluck Tanadjindarat, Chayanon Peerapittayamongkol   +3 more
wiley   +1 more source

Breast cancer prediction based on gene expression data using interpretable machine learning techniques. [PDF]

Sci Rep
Kallah-Dagadu G, Mohammed M, Nasejje JB, Mchunu NN, Twabi HS, Batidzirai JM, Singini GC, Nevhungoni P, Maposa I.   +8 more
europepmc   +1 more source