Results 41 to 50 of about 209,835 (241)

Structural biology of ferritin nanocages

FEBS Letters, EarlyView.
Ferritin is a conserved iron‐storage protein that sequesters iron as a ferric mineral core within a nanocage, protecting cells from oxidative damage and maintaining iron homeostasis. This review discusses ferritin biology, structure, and function, and highlights recent cryo‐EM studies revealing mechanisms of ferritinophagy, cellular iron uptake, and ...
Eloise Mastrangelo, Flavio Di Pisa
wiley   +1 more source

Exploring frailty and its domains – Systematic mapping of the literature

Indian Journal of Public Health, 2023
Background: 'Frailty' has no consensual definition till date, although the term occupies a pivotal role in geriatric medicine. A bibliometric analysis of the literature serves to capture the keyword cooccurrences and linkages, co-citations, author ...
T B Pritish Baskaran, Manoj Kumar Gupta, Pankaja Raghav, K H Naveen, Akhil Dhanesh Goel   +4 more
doaj   +1 more source

Adenosine‐to‐inosine editing of miR‐200b‐3p is associated with the progression of high‐grade serous ovarian cancer

Molecular Oncology, EarlyView.
A‐to‐I editing of miRNAs, particularly miR‐200b‐3p, contributes to HGSOC progression by enhancing cancer cell proliferation, migration and 3D growth. The edited form is linked to poorer patient survival and the identification of novel molecular targets.
Magdalena Niemira, Anna Skwarska, Karolina Chwialkowska, Agnieszka Ostrowska, Gabriela Sokolowska, Anna Zeller, Anna Erol, Andrzej Eljaszewicz, Bartosz Hanczaruk, Anna Michalska‐Falkowska, Agnieszka Tarasik, Joanna Reszec‐Gielazyn, Pawel Knapp, Marcin Moniuszko, Adam Kretowski   +14 more
wiley   +1 more source

Meta-network: optimized species-species network analysis for microbial communities

BMC Genomics, 2019
Background The explosive growth of microbiome data provides ample opportunities to gain a better understanding of the microbes and their interactions in microbial communities.
Pengshuo Yang, Shaojun Yu, Lin Cheng, Kang Ning   +3 more
doaj   +1 more source

Modeling hepatic fibrosis in TP53 knockout iPSC‐derived human liver organoids

Molecular Oncology, EarlyView.
This study developed iPSC‐derived human liver organoids with TP53 gene knockout to model human liver fibrosis. These organoids showed elevated myofibroblast activation, early disease markers, and advanced fibrotic hallmarks. The use of profibrotic differentiation medium further amplified the fibrotic signature seen in the organoids.
Mustafa Karabicici, Soheil Akbari, Ceyda Caliskan, Canan Celiker, Ozden Oz, Leman Binokay, Gökhan Karakulah, Serif Senturk, Esra Erdal   +8 more
wiley   +1 more source

Vertically Exported Phytoplankton (< 20 µm) and Their Correlation Network With Bacterioplankton Along a Deep-Sea Seamount

Frontiers in Marine Science, 2022
Phytoplankton have been observed to be widely distributed in the oceanic vertical water columns and have an important contribution to carbon sequestration via biological pump mechanism. However, in seamount areas with strong hydrodynamics, their vertical
Hanshuang Zhao, Hanshuang Zhao, Zenghu Zhang, Zenghu Zhang, Shailesh Nair, Shailesh Nair, Jiulong Zhao, Jiulong Zhao, Shanli Mou, Shanli Mou, Kuidong Xu, Kuidong Xu, Yongyu Zhang, Yongyu Zhang   +13 more
doaj   +1 more source

PYCR1 inhibition in bone marrow stromal cells enhances bortezomib sensitivity in multiple myeloma cells by altering their metabolism

Molecular Oncology, EarlyView.
This study investigated how PYCR1 inhibition in bone marrow stromal cells (BMSCs) indirectly affects multiple myeloma (MM) cell metabolism and viability. Culturing MM cells in conditioned medium from PYCR1‐silenced BMSCs impaired oxidative phosphorylation and increased sensitivity to bortezomib.
Inge Oudaert, Lauren van den Broecke, Osman Aksoy, Judith Lind, Sonia Vallet, Arne Van der Vreken, Gamze Ates, Ann Massie, Ken Maes, Kim De Veirman, Elke De Bruyne, Karin Vanderkerken, Klaus Podar, Eline Menu   +13 more
wiley   +1 more source

A Bayesian derived network of breast pathology co-occurrence

Journal of Biomedical Informatics, 2008
In this paper, we present the validation and verification of a machine-learning based Bayesian network of breast pathology co-occurrence. The present/not present occurrences of 29 common breast pathologies from 1631 pathology reports were used to build the network. All pathology reports were developed by a single pathologist.
Maskery, Susan M., Hu, Hai, Hooke, Jeffrey, Shriver, Craig D., Liebman, Michael N.   +4 more
openaire   +2 more sources

Exploring the random genesis of co-occurrence networks [PDF]

Physica A: Statistical Mechanics and its Applications, 2011
Using the network random generation models from (Gustedt 2009), we simulate and analyze several characteristics (such as the number of components, the degree sequence and the clustering coefficient) of the generated networks. This is done for a variety of distributions (fixed value, Bernoulli, Poisson, binomial) that are used to control the parameters ...
Jens Gustedt, Hari K. Raghavan, Pedro Schimit   +2 more
openaire   +1 more source

Analysis of pain research literature through keyword Co-occurrence networks

PLOS Digital Health, 2023
Pain is a significant public health problem as the number of individuals with a history of pain globally keeps growing. In response, many synergistic research areas have been coming together to address pain-related issues. This work reviews and analyzes a vast body of pain-related literature using the keyword co-occurrence network (KCN) methodology. In
Burcu Ozek, Zhenyuan Lu, Fatemeh Pouromran, Srinivasan Radhakrishnan, Sagar Kamarthi   +4 more
openaire   +3 more sources