Microbiology of Fed-batch Composting
Narihiro, Takashi, Hiraishi, Akira
openaire +2 more sources
We report the fast generation of biocompatible solutions of highly 13C‐hyperpolarized (≈11%) partially‐deuterated ketoisocaproate within <6 min using spin‐lock‐induced crossing and reversible exchange with parahydrogen (SLIC‐SABRE). This enables rapid detection of branched‐chain‐amino‐acid transferase 1 (BCAT1) protein expression and investigation of ...
Stefan Petersen +18 more
wiley +1 more source
Production of a Dulaglutide Analogue by Apoptosis-Resistant Chinese Hamster Ovary Cells in a 3-Week Fed-Batch Process. [PDF]
Shaifutdinov RR +5 more
europepmc +1 more source
Human neutrophils exist as two epigenetically imprinted subtypes defined by stable CD177 expression or absence — a ratio that persists across time, circadian rhythms, and inflammation. CD177− neutrophils display a distinct molecular landscape enriched in arginase 1 and lipid metabolism markers, accumulate in head‐and‐neck tumors, and associate with ...
Marcel Jung +39 more
wiley +1 more source
Improved neutral lipid production from Tetradesmus obliquus through fed-batch mixotrophic cultivation at high pH using potato peel hydrolysate. [PDF]
Gomaa M +3 more
europepmc +1 more source
Employing a digital single‐molecule activity tracker (dSMAT), this research demonstrates that high‐photon‐flux irradiation drives progressive oxidative scarring in polymerases. Unlike simple thermal denaturation, real‐time kinetic tracking dynamically visualizes enzymes degrading into multiple impaired subpopulations.
Anran Zheng +11 more
wiley +1 more source
Scaled up fed-batch production of recombinant alpha-1-antitrypsin by CHO cells in single-use surface aerated orbital shaken bioreactor. [PDF]
Tang WQ +6 more
europepmc +1 more source
Tolerance of engineered Rhodosporidium toruloides to sorghum hydrolysates during batch and fed-batch lipid production. [PDF]
Woodruff W +4 more
europepmc +1 more source
Ovarian Cancer Diagnosis and Chemoresistance Prediction Model Based on cfRNA Molecular Signature
A deep learning model analyzes cfRNA profiles extracted from the blood of OVCA patients. This innovative approach distinguishes OVCA from healthy controls with high accuracy. Crucially, it reliably predicts patient response to chemotherapy (sensitive versus resistant subgroups).
Qinhao Guo +14 more
wiley +1 more source
Modelling of <i>Escherichia coli</i> Batch and Fed-Batch Processes in Semi-Defined Yeast Extract Media. [PDF]
Schröder-Kleeberg F +6 more
europepmc +1 more source

