Results 51 to 60 of about 595,354 (350)

Single‐cell insights into the role of T cells in B‐cell malignancies

FEBS Letters, EarlyView.
Single‐cell technologies have transformed our understanding of T cell–tumor cell interactions in B‐cell malignancies, revealing new T‐cell subsets, functional states, and immune evasion mechanisms. This Review synthesizes these findings, highlighting the roles of T cells in pathogenesis, progression, and therapy response, and underscoring their ...
Laura Llaó‐Cid
wiley   +1 more source

Metabolic engineering of terpene metabolism in lavender

Beni-Suef University Journal of Basic and Applied Sciences
Abstract Background Several members of the Lamiaceae family of plants produce large amounts of essential oil [EO] that find extensive applications in the food, cosmetics, personal hygiene, and alternative medicine industries.
Ojo Michael Oseni, Reza Sajaditabar, Soheil S. Mahmoud   +2 more
openaire   +3 more sources

Dynamic metabolic control: towards precision engineering of metabolism [PDF]

Journal of Industrial Microbiology and Biotechnology, 2018
Abstract Advances in metabolic engineering have led to the synthesis of a wide variety of valuable chemicals in microorganisms. The key to commercializing these processes is the improvement of titer, productivity, yield, and robustness.
Liu, D, Mannan, AA, Han, Y, Oyarzun, DA, Zhang, F   +4 more
openaire   +5 more sources

The epithelial barrier theory proposes a comprehensive explanation for the origins of allergic and other chronic noncommunicable diseases

FEBS Letters, EarlyView.
Exposure to common noxious agents (1), including allergens, pollutants, and micro‐nanoplastics, can cause epithelial barrier damage (2) in our body's protective linings. This may trigger an immune response to our microbiome (3). The epithelial barrier theory explains how this process can lead to chronic noncommunicable diseases (4) affecting organs ...
Can Zeyneloglu, Huseyn Babayev, Ismail Ogulur, Sena Ardicli, Yagiz Pat, Duygu Yazici, Bingjie Zhao, Lihong Chang, Xiaoqing Liu, Paolo D'Avino, Manru Li, Ceren Biçer, Fatma Hacer Kurtoğlu Babayev, Raja Dhir, Kari C. Nadeau, Marie‐Charlotte Brüggen, Mubeccel Akdis, Cezmi A. Akdis   +17 more
wiley   +1 more source

Production of fatty acid-derived valuable chemicals in synthetic microbes

Frontiers in Bioengineering and Biotechnology, 2014
Fatty acid derivatives, such as hydroxy fatty acids, fatty alcohols, fatty acid methyl/ethyl esters and fatty alka(e)nes, have a wide range of industrial applications including plastics, lubricants and fuels.
Ai-Qun eYu, Ai-Qun eYu, Nina Kurniasih Pratomo Juwono, Nina Kurniasih Pratomo Juwono, Susanna Su Jan Leong, Susanna Su Jan Leong, Susanna Su Jan Leong, Matthew Wook Chang, Matthew Wook Chang   +8 more
doaj   +1 more source

Auxin-mediated protein depletion for metabolic engineering in terpene-producing yeast

Nature Communications, 2021
Loss-of-function experiments are used in metabolic engineering to understand and optimise metabolism. Here, the authors apply auxin inducible protein degradation to test different metabolic engineering strategies for improved terpenoid production in ...
Zeyu Lu, Bingyin Peng, Birgitta E. Ebert, Geoff Dumsday, Claudia E. Vickers   +4 more
doaj   +1 more source

Goodbye flat lymphoma biology

FEBS Letters, EarlyView.
Three‐dimensional (3D) biological systems have become key tools in lymphoma research, offering reliable in vitro and ex vivo platforms to explore pathogenesis and support precision medicine. This review highlights current 3D non‐Hodgkin lymphoma models, detailing their features, advantages, and limitations, and provides a broad perspective on future ...
Carla Faria, Cèlia Dobaño‐López, Patricia Pérez‐Galán, Christine Bezombes   +3 more
wiley   +1 more source

Division of Metabolic Engineering [PDF]

, 2008
この論文は国立情報学研究所の学術雑誌公開支援事業により電子化されまし
Ali MahmoudEl-Halawany, 服部 征雄, 鄭 美和, 馬 超美   +3 more
core   +1 more source

From omics to AI—mapping the pathogenic pathways in type 2 diabetes

FEBS Letters, EarlyView.
Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan, Lu Qi, Pierre Zalloua   +2 more
wiley   +1 more source

13C-Metabolic Flux Analysis: An Accurate Approach to Demystify Microbial Metabolism for Biochemical Production

Bioengineering, 2015
Metabolic engineering of various industrial microorganisms to produce chemicals, fuels, and drugs has raised interest since it is environmentally friendly, sustainable, and independent of nonrenewable resources.
Weihua Guo, Jiayuan Sheng, Xueyang Feng
doaj   +1 more source