Results 121 to 130 of about 1,504,627 (332)

Updating view of membrane transport proteins by simulation studies. [PDF]

Biophys Physicobiol, 2023
Sumikama T, Corry B, Ono J, Kobayashi C, Okazaki KI.   +4 more
europepmc   +1 more source

A Self‐Consistent Model for Sorption and Transport in Polyimide‐Derived Carbon Molecular Sieve Gas Separation Membranes

, 2020
Oishi Sanyal, Samuel S. Hays, Nicholas E. León, Yoseph A. Guta, Arun K. Itta, Ryan P. Lively, William J. Koros   +6 more
openalex   +2 more sources

Transport Phenomena in Acid-Alkaline Membrane Bi-Cell Configurations for Portable Power Sources [PDF]

, 2012
Kyle N. Grew, Deryn Chu
openalex   +1 more source

Adaptaquin is selectively toxic to glioma stem cells through disruption of iron and cholesterol metabolism

Molecular Oncology, EarlyView.
Adaptaquin selectively kills glioma stem cells while sparing differentiated brain cells. Transcriptomic and proteomic analyses show Adaptaquin disrupts iron and cholesterol homeostasis, with iron chelation amplifying cytotoxicity via cholesterol depletion, mitochondrial dysfunction, and elevated reactive oxygen species.
Adrien M. Vaquié, Davod R. Shah, Eliane E. S. Brechbühl, Michael McNicholas, Zhaoyang Xu, John H. Stockley, Laura Morcom, Diana Gold Diaz, Gemma C. Girdler, Rachel V. Seear, Gabriel Balmus, Rajiv R. Ratan, Harry Bulstrode, James A. Nathan, Manav Pathania, Kevin M. Brindle, David H. Rowitch   +16 more
wiley   +1 more source

A study of Functional ion Transport Using Tethered Membranes [PDF]

, 2011
Bruce Cornell, Andrew R. Battle, Louise J. Brown, Sonia Carnie, Sophia C. Goodchild, Hedayetul Islam, Donald Martin, Boris Martinac, Russell Richards, Stella M. Valenzuela   +9 more
openalex   +1 more source

Molecular interpretation of the carbon nitride performance as a template for the transport of anti-cancer drug into the biological membrane [PDF]

, 2021
Ameneh Zaboli, ‪Heidar Raissi, Farzaneh Farzad   +2 more
openalex   +1 more source

Patient‐specific pharmacogenomics demonstrates xCT as predictive therapeutic target in colon cancer with possible implications in tumor connectivity

Molecular Oncology, EarlyView.
This study integrates transcriptomic profiling of matched tumor and healthy tissues from 32 colorectal cancer patients with functional validation in patient‐derived organoids, revealing dysregulated metabolic programs driven by overexpressed xCT (SLC7A11) and SLC3A2, identifying an oncogenic cystine/glutamate transporter signature linked to ...
Marco Strecker, Keren Zohar, Martin Böttcher, Thomas Wartmann, Henry Freudenstein, Maximilian Doelling, Mihailo Andric, Wenjie Shi, Or Kakhlon, Katrin Hippe, Beatrix Jahnke, Dimitrios Mougiakakos, Franziska Baenke, Daniel Stange, Roland S. Croner, Michal Linial, Ulf D. Kahlert   +16 more
wiley   +1 more source

Heat and Mass Transport in Modeling Membrane Distillation Configurations: A Review [PDF]

, 2018
Samuel O. Olatunji, Lucy Mar Camacho
openalex   +1 more source

Predictors of response and rational combinations for the novel MCL‐1 inhibitor MIK665 in acute myeloid leukemia

Molecular Oncology, EarlyView.
This study characterizes the responses of primary acute myeloid leukemia (AML) patient samples to the MCL‐1 inhibitor MIK665. The results revealed that monocytic differentiation is associated with MIK665 sensitivity. Conversely, elevated ABCB1 expression is a potential biomarker of resistance to the treatment, which can be overcome by the combination ...
Joseph Saad, Rhiannon Newman, Elmira Khabusheva, Sofia Aakko, Eric Durand, Mahesh Tambe, Heikki Kuusanmäki, Alun Parsons, Juho J. Miettinen, Komal Kumar Javarappa, Ezgi June Olgac, Nemo Ikonen, Mika Kontro, Kimmo Porkka, Heiko Maacke, Janghee Woo, Ensar Halilovic, Caroline A. Heckman   +17 more
wiley   +1 more source

Knudsen Diffusion in Silicon Nanochannels

, 2008
Measurements on helium and argon gas flow through an array of parallel, linear channels of 12 nm diameter and 200 micrometer length in a single crystalline silicon membrane reveal a Knudsen diffusion type transport from 10^2 to 10^7 in Knudsen number Kn.
G. Karniadakis, J. Kärger, P. Tabeling, Patrick Huber, Simon Gruener   +4 more
core   +1 more source