Results 51 to 60 of about 32,392 (245)
Animal Research and One Health, EarlyView.ABSTRACT This study explored fasting‐induced physiological remodeling effects on meat quality in aged laying hens. Fasting for 15 days (F15) significantly reduced abdominal fat, intermuscular fat width, subcutaneous fat thickness, and liver index versus pre‐fasting (F0) (p < 0.05), which recovered post‐refeeding.
Xiaoran Zhang +8 more
wiley +1 more source
BMEMat, EarlyView.This Perspective explores the emerging landscape of cell membrane‐coated nanoparticles (CM‐NPs) as intelligent, immune‐compatible platforms for cancer therapy. Highlighting design strategies, translational challenges, and competitive positioning, it outlines how integrating biomimetic targeting with advanced analytical and manufacturing tools could ...
A. K. M. M. Alam +4 more
wiley +1 more source
Lipidomics as a Tool for Functional Genomics in Sinorhizobium Meliloti
, 2008 This thesis focused on the development of comprehensive, rapid and simple methodologies for the analysis of fatty acids by gas chromatography mass spectrometry (GC/MS) and intact lipids by electrospray ionization tandem mass spectrometry (ESIIMS/MS).
Saborido Basconcillo, Libia
core
Harnessing ferroptosis from multilayer defense networks to nanoplatforms for specific cancer therapy
BMEMat, EarlyView.Nanomaterials target metabolically‐regulated ferroptosis for cancer therapy. Iron‐based or alternative nanoplatforms integrate ferroptosis with chemotherapy, immunotherapy, or radiotherapy. They enable stimulus‐responsive therapies (photothermal, photodynamic, sonodynamic) activated by near‐infrared, light, or ultrasound, achieving potent synergistic ...
Xinyue Xu +5 more
wiley +1 more source
In-Vivo Lipidomics using Single-Cell Raman Spectroscopy
, 2010 We describe a method for direct, quantitative, in vivo lipid profiling of oil producing microalgae using single-cell laser-trapping Raman spectroscopy (LTRS).
Blake Simmons +5 more
core
Chronic Diseases and Translational Medicine, EarlyView.Shared differential metabolites identified across the three sample groups. (A) Venn diagram of differential metabolites between the two comparison groups; Based on the detected levels of these overlapping differential metabolites, (B) d‐Arabitol, (C) Triclosan, (D) Iloprost, (E) Tetracosanoic acid, and (F) Omeprazole sulfone. Box plots were constructed
Mengtao Qian +4 more
wiley +1 more source
Lipidomics in vascular health: current perspectives
, 2015 Genovefa Kolovou,1 Vana Kolovou,1,2 Sophie Mavrogeni1 1Cardiology Department, 2Molecular Immunology Laboratory, Onassis Cardiac Surgery Center, Athens, Greece Abstract: Identifying the mechanisms that convert a healthy vascular wall to an ...
Kolovou G, Mavrogeni S, Kolovou V
core
Lipidomics raw data for KirBac
, 2021 Raw data for the lipidomics analysis of ...
Di Wu (5598773)
core +1 more source
Drug Testing and Analysis, EarlyView.UHPLC‐timsTOF‐MS with in silico prediction and automated annotation enabled rapid identification of quetiapine metabolites from pHLMs, facilitating their inclusion in targeted LC‐QTOF‐MS urine screening and improving biomarker detection for toxicological applications.
Annette Zschiesche +5 more
wiley +1 more source
On Mass Ambiguities in Shotgun Lipidomics
, 2016 Mass-spectrometry based lipidomics aims to identify as many lipid species as possible from complex biological samples. Due to the large combinatorial search-space unambiguous identification of lipid species is far from trivial.
S. Kempa +3 more
core