Results 251 to 260 of about 11,219,681 (307)

Hyperosmotic stress‐induced redistribution of pre‐mRNA cleavage factor I subunits is associated with shifts in alternative polyadenylation

open access: yesFEBS Open Bio, EarlyView.
Hyperosmotic stress triggers the relocation of the CFIm complex from the nucleus to the cytoplasm. This shift creates a nuclear ‘stoichiometric bottleneck’, limiting CFIm availability for mRNA processing. Consequently, specific mRNAs like NUDT21 and DICER1 undergo targeted 3′UTR shortening, demonstrating how spatial protein dynamics drive rapid ...
Hitomi Soumiya   +2 more
wiley   +1 more source

Loss of AMBRA1 activates MAPK and angiogenesis signaling pathways in melanoma cells

open access: yesFEBS Open Bio, EarlyView.
Loss of AMBRA1 in melanoma cells activates multiple oncogenic pathways associated with tumor progression. Transcriptomic and protein network analyses revealed that AMBRA1 depletion enhances MAPK/ERK signaling, angiogenesis, TGF‐β/EMT signaling, and Wnt/axon guidance pathways.
Milad Ibrahim   +4 more
wiley   +1 more source

Effects of IGFBP4 deficiency on human preadipocyte proliferation and differentiation through the IGF1R/AKT pathway

open access: yesFEBS Open Bio, EarlyView.
IGFBP4 knockdown (KD) impairs preadipocyte proliferation and is associated with IGF1R protein downregulation and attenuated AKT phosphorylation. The mechanisms by which IGFBP4 KD influences the IGF1R/AKT signaling pathway involve newly synthesized proteins and lysosomal degradation pathways. Created in BioRender.
Yujia Guo   +6 more
wiley   +1 more source

Treatment with KCL‐286, a first‐in‐class retinoic acid receptor‐β (RARβ) agonist, ameliorates neuronal DNA damage and inflammation in a mouse model of Alzheimer's disease

open access: yesFEBS Open Bio, EarlyView.
Repair of neuronal DNA damage in Alzheimer's disease by KCL‐286. (A) Amyloid‐β oligomers and plaques impair neuronal DNA repair pathways, leading to DNA double‐strand breaks and glial activation. (B) KCL‐286 activates RARβ/RXR signalling via retinoic acid response elements (RAREs), associated with increased BRCA1 expression, enhanced DNA repair and ...
Natasha Hill   +6 more
wiley   +1 more source

Maximizing information from chemical engineering data sets: Applications to machine learning [PDF]

open access: yesChemical Engineering Science, 2022
It is well-documented how artificial intelligence can have (and already is having) a big impact on chemical engineering. But classical machine learning approaches may be weak for many chemical engineering applications.
Johannes Wiebe   +2 more
exaly   +2 more sources
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Chemical Engineering in the “BIO” World

Current Drug Delivery, 2017
Modern Chemical Engineering was born around the end of the 19th century in Great Britain, Germany, and the USA, the most industrialized countries at that time. Milton C. Whitaker, in 1914, affirmed that the difference between Chemistry and Chemical Engineering lies in the capability of chemical engineers to ...
CHIARAPPA, GIANLUCA   +19 more
openaire   +6 more sources

The Chemical Engineer

Journal of the American Pharmaceutical Association (Practical Pharmacy ed.), 1947
P G, COLIN, H E, SILCOX
openaire   +2 more sources

EES® for Chemical Engineering

2019
EES (‘Engineering Equation Solver’) is a software tool designed to numerically solve algebraic and differential equations that are typically found in engineering problems. EES is appealing for solving chemical engineering problems because it provides built-in functions for the calculation of thermodynamic and transport properties of many chemical ...
openaire   +1 more source

Unlocking Nature's Biosynthetic Power—Metabolic Engineering for the Fermentative Production of Chemicals

Angewandte Chemie - International Edition, 2021
Oskar Zelder   +2 more
exaly  

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