Results 41 to 50 of about 1,188,505 (261)

Charting oncogenicity of genes and variants across lineages via multiplexed screens in teratomas

open access: yesiScience, 2021
Summary: Deconstructing tissue-specific effects of genes and variants on proliferation is critical to understanding cellular transformation and systematically selecting cancer therapeutics.
Udit Parekh   +8 more
doaj   +1 more source

Revealing the structure of land plant photosystem II: the journey from negative‐stain EM to cryo‐EM

open access: yesFEBS Letters, EarlyView.
Advances in cryo‐EM have revealed the detailed structure of Photosystem II, a key protein complex driving photosynthesis. This review traces the journey from early low‐resolution images to high‐resolution models, highlighting how these discoveries deepen our understanding of light harvesting and energy conversion in plants.
Roman Kouřil
wiley   +1 more source

Identification of VIMP as a gene inhibiting cytokine production in human CD4+ effector T cells

open access: yesiScience, 2021
Summary: Many players regulating the CD4+ T cell-mediated inflammatory response have already been identified. However, the critical nodes that constitute the regulatory and signaling networks underlying CD4 T cell responses are still missing.
Christophe M. Capelle   +6 more
doaj   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

open access: yesFEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi   +5 more
wiley   +1 more source

Advancing Cancer Systems Biology: Introducing the Center for the Development of a Virtual Tumor, CViT

open access: yesCancer Informatics, 2007
Integrative cancer biology research relies on a variety of data-driven computational modeling and simulation methods and techniques geared towards gaining new insights into the complexity of biological processes that are of critical importance for cancer
Sean Martin   +2 more
doaj  

What is systems biology?

open access: yesFrontiers in Physiology, 2010
Systems biology is increasingly popular, but to many biologists it remains unclear what this new discipline actually encompasses. This brief personal perspective starts by outlining the aesthetic qualities that motivate systems biologists, discusses ...
Rainer Breitling, Rainer Breitling
doaj   +1 more source

Whither systems biology [PDF]

open access: yesPhilosophical Transactions of the Royal Society B: Biological Sciences, 2011
Cell biologists are interested in how complexity arises from the interaction of different molecules. However, cells are many orders of magnitude larger than the protein-binding interfaces. To bridge these vast difference in scales, biologists construct hierarchies of organization of cellular structures.
openaire   +3 more sources

Stem cell biology meets systems biology [PDF]

open access: yesDevelopment, 2009
Stem cells and their descendents are the building blocks of life. How stem cell populations guarantee their maintenance and/or self-renewal, and how individual stem cells decide to transit from one cell stage to another to generate different cell types are long-standing and fascinating questions in the field.
Roeder I, Radtke F.
openaire   +1 more source

Organoids in pediatric cancer research

open access: yesFEBS Letters, EarlyView.
Organoid technology has revolutionized cancer research, yet its application in pediatric oncology remains limited. Recent advances have enabled the development of pediatric tumor organoids, offering new insights into disease biology, treatment response, and interactions with the tumor microenvironment.
Carla Ríos Arceo, Jarno Drost
wiley   +1 more source

Application of Gene Shaving and Mixture Models to Cluster Microarray Gene Expression Data

open access: yesCancer Informatics, 2007
Researchers are frequently faced with the analysis of microarray data of a relatively large number of genes using a small number of tissue samples. We examine the application of two statistical methods for clustering such microarray expression data ...
S. Wen, R. Bean, G.J. McLachlan, K-A. Do
doaj  

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