Results 161 to 170 of about 171,066 (327)

Reduced JAG1 Expression Through miR‐200 Overexpression or Crispr‐Cas Mediated Knockout Impairs TNBC Growth and Metastasis

open access: yesMolecular Carcinogenesis, EarlyView.
ABSTRACT Studies from our lab demonstrated that increasing miR‐200 expression in human triple negative breast cancer (TNBC) reduced tumor growth and metastasis In Vivo. In this study, we found that overexpression of miR‐200s in TNBC cells significantly reduced the expression of JAG1.
Megan Vaz   +2 more
wiley   +1 more source

Brain Networks Route Neurodegeneration Patterns in Patients with Progressive Supranuclear Palsy

open access: yesMovement Disorders, EarlyView.
Abstract Background Progressive supranuclear palsy (PSP) is a neurodegenerative disease driven by 4‐repeat τ pathology, which is thought to propagate across interconnected neurons. Objectives We hypothesized that interconnected brain regions exhibit correlated atrophy, and that atrophy propagates network‐like from fast‐declining epicenters to connected
Carla Palleis   +183 more
wiley   +1 more source

ADAM, a Widely Distributed and Developmentally Regulated Gene Family Encoding Membrane Proteins with A̱Ḏisintegrin A̱nd M̱etalloprotease Domain

open access: bronze, 1995
Tyra G. Wolfsberg   +6 more
openalex   +1 more source

Extracting Trends From NMR Data With TrAGICo: A Python Toolbox

open access: yesMagnetic Resonance in Chemistry, EarlyView.
TrAGICo is a Python collection of functions for the extraction and analysis of serial NMR spectroscopy data. In this tutorial, we show several practical examples, highlighting its utility for various chemical NMR applications, such as extraction of the chemical shift temperature dependence in paramagnetic systems, relaxation studies, and reaction ...
Letizia Fiorucci   +10 more
wiley   +1 more source

Saturation transfer MR fingerprinting for magnetization transfer contrast and chemical exchange saturation transfer quantification

open access: yesMagnetic Resonance in Medicine, EarlyView.
Abstract Purpose The aim of this study was to develop a saturation transfer MR fingerprinting (ST‐MRF) technique using a biophysics model‐driven deep learning approach. Methods A deep learning–based quantitative saturation transfer framework was proposed to estimate water, magnetization transfer contrast, and amide proton transfer (APT) parameters plus
Munendra Singh   +5 more
wiley   +1 more source

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