Results 71 to 80 of about 26,875,751 (309)

The heterodimeric amino acid transporters (HAT) of the SLC7/SLC3 family: A structure−function relationships and relevance to human pathology

FEBS Letters, EarlyView.
Heterodimeric amino acid transporters consist of SLC7 and SLC3 family proteins arranged in a conserved structural organization. They regulate nutrient transport across cell membranes, supporting essential cellular functions. These transporters also contribute to xenobiotic/drug uptake and distribution.
Mariafrancesca Scalise, Tiziano Mazza, Raffaella Scanga, Lara Console, Michele Galluccio, Cesare Indiveri   +5 more
wiley   +1 more source

A context‐dependent modulatory role for eIF6 in acquired resistance to vemurafenib in melanoma

FEBS Letters, EarlyView.
Acquired resistance to vemurafenib upregulates the translation factor eIF6 in melanoma cells. Silencing eIF6 in resistant cells reduces proliferation and partially restores drug sensitivity, whereas its overexpression increases sensitivity across melanoma lines regardless of BRAF status, via modulation of mTOR, S6K, and MAPK signaling.
George Kyriakopoulos, Antonia Petropoulou, Alexandra Anastogianni, Angelina Bania, Vassilis Stamatakis, Argyris Alexiou, Chi‐Ping Day, Glenn Merlino, Katerina Grafanaki, Constantinos Stathopoulos   +9 more
wiley   +1 more source

JCVI: A versatile toolkit for comparative genomics analysis

iMeta
The life cycle of genome builds spans interlocking pillars of assembly, annotation, and comparative genomics to drive biological insights. While tools exist to address each pillar separately, there is a growing need for tools to integrate different ...
Haibao Tang, Vivek Krishnakumar, Xiaofei Zeng, Zhougeng Xu, Adam Taranto, Johnathan S. Lomas, Yixing Zhang, Yumin Huang, Yibin Wang, Won Cheol Yim, Jisen Zhang, Xingtan Zhang   +11 more
doaj   +1 more source

AI-Driven Advancements in Bioinformatics: Transforming Healthcare and Science

Journal of Pharmacy and Bioallied Sciences
The field of bioinformatics now depends heavily on AI technology that will modify the current state of medical practices alongside scientific research. The sorting and analysis of large biological data sets benefit from Original Artificial Intelligence ...
Sunil Namdev Thitame, Ashwini Ashok Aher
doaj   +1 more source

Metastatic niche shaped by host factors influences disseminated cancer cell fate

FEBS Letters, EarlyView.
Metastasis is shaped not only by cancer cells but also by the environments they encounter. This review explores how factors such as aging, diet, the microbiome, lifestyle, and environmental exposures remodel organ‐specific niches in the lung, liver, bone, and brain, influencing where metastatic cells survive, remain dormant, or grow, and ultimately ...
Gwennan Delyth Ward, Álvaro Ruiz‐Tabas, Patricia Altea‐Manzano   +2 more
wiley   +1 more source

Replication Data for: Genomic Prediction of Gene Bank Wheat Landraces

, 2023
Genomic prediction methods may be used to enhance efforts to rapidly introgress traits of interest from exotic germplasm into elite materials. This study examined the performance of different genomic prediction models using genotypic and phenotypic data ...
Jarquin, Diego, Franco, Jorge, Peña Bautista, Roberto Javier, Petroli, Cesar, Crossa, Jose, Saint Pierre, Carolina, Burgueño, Juan, Tattaris, Maria, Reynolds, Matthew, Singh, Sukhwinder, Wenzl, Peter, Pérez-Rodríguez, Paulino, Vikram, Prashant, Sansaloni, Carolina, Akdemir, Deniz, Sneller, Clay, Guzman, Carlos, Payne, Thomas   +17 more
core   +1 more source

Data integration and genomic medicine

Journal of Biomedical Informatics, 2007
Genomic medicine aims to revolutionize health care by applying our growing understanding of the molecular basis of disease. Research in this arena is data intensive, which means data sets are large and highly heterogeneous. To create knowledge from data, researchers must integrate these large and diverse data sets.
Brenton Louie, Peter Mork, Fernando Martín-Sánchez, Alon Y. Halevy, Peter Tarczy-Hornoch   +4 more
openaire   +3 more sources

Genomic prediction in a multi-generation Eucalyptus globulus breeding population.

, 2022
This dataset contains data used in the article "Genomic prediction in a multi-generation Eucalyptus globulus breeding population." Haristoy et al ...
Pina, Joao-Pedro, Haristoy, Geoffrey, Leal, Luis, Gion, Jean-Marc, Bouffier, Laurent, Paiva, Jorge, Fontes, Luis   +6 more
core   +1 more source

Neutralization of the PTX3/CD44 axis suppresses TGF‐β1 signaling in kidney fibrosis

FEBS Letters, EarlyView.
This study investigates how the PTX3/CD44 axis promotes kidney fibrosis by activating TGF‐β1 signaling. We demonstrate that the neutralizing antibody WHC‐001 effectively inhibits this pathway, suppressing myofibroblast activation and partial epithelial–mesenchymal transition (EMT).
Chao‐Chun Cheng, Shen‐Shin Chang, Feng‐Wei Chen, Ying‐Chieh Su, Thanh Phuong Nguyen, Yu‐Wei Hsiao, Jhih‐Ying Chi, Hsin‐Yin Liang, Ju‐Ming Wang   +8 more
wiley   +1 more source

Machine Learning techniques and Polygenic Risk Score application to prediction genetic diseases

Advances in Distributed Computing and Artificial Intelligence Journal, 2020
For the last 10 years and after important discoveries such as genomic understanding of the human being, there has been a considerable increase in the interest on research risk prediction models associated with genetic originated diseases through two ...
Nibeth Mena Mamani
doaj   +1 more source