Results 61 to 70 of about 980,429 (196)

Metabolic network reconstruction of Chlamydomonas offers insight into light‐driven algal metabolism

open access: yesMolecular Systems Biology, 2011
Metabolic network reconstruction encompasses existing knowledge about an organism's metabolism and genome annotation, providing a platform for omics data analysis and phenotype prediction.
Roger L Chang   +10 more
doaj   +1 more source

Fruit Flies Provide New Insights in Low-Radiation Background Biology at the INFN Underground Gran Sasso National Laboratory (LNGS) [PDF]

open access: yes, 2018
Deep underground laboratories (DULs) were originally created to host particle, astroparticle or nuclear physics experiments requiring a low-background environment with vastly reduced levels of cosmic-ray particle interference. More recently, the range of
Cenci, G.   +5 more
core   +1 more source

Multi-omics analysis reveals neoantigen-independent immune cell infiltration in copy-number driven cancers

open access: yesNature Communications, 2018
Neoantigen load has been associated with tumour immune infiltration. Here, the authors show that while this is true for tumours with recurrent mutations, cancers with recurrent CNAs show neoantigen-independent infiltration driven by cytokine production ...
Daniel J. McGrail   +8 more
doaj   +1 more source

Kinetic modelling of in vitro data of PI3K, mTOR1, PTEN enzymes and on-target inhibitors Rapamycin, BEZ235, and LY294002 [PDF]

open access: yes, 2016
The phosphatidylinositide 3-kinases (PI3K) and mammalian target of rapamycin-1 (mTOR1) are two key targets for anti-cancer therapy. Predicting the response of the PI3K/AKT/mTOR1 signalling pathway to targeted therapy is made difficult because of network ...
Bown, James L.   +4 more
core   +3 more sources

Embryonic stem cell-specific signatures in cancer: insights into genomic regulatory networks and implications for medicine [PDF]

open access: yes, 2011
Embryonic stem (ES) cells are of great interest as a model system for studying early developmental processes and because of their potential therapeutic applications in regenerative medicine.
Kim, Jonghwan, Orkin, Stuart
core   +1 more source

Mathematical models for chemotaxis and their applications in self-organisation phenomena [PDF]

open access: yes, 2018
Chemotaxis is a fundamental guidance mechanism of cells and organisms, responsible for attracting microbes to food, embryonic cells into developing tissues, immune cells to infection sites, animals towards potential mates, and mathematicians into biology.
Painter, K. J.
core   +3 more sources

Bromodomain protein BRD8 regulates cell cycle progression in colorectal cancer cells through a TIP60-independent regulation of the pre-RC complex

open access: yesiScience, 2023
Summary: Bromodomain-containing protein 8 (BRD8) is a subunit of the NuA4/TIP60-histone acetyltransferase complex. Although BRD8 has been considered to act as a co-activator of the complex, its biological role remains to be elucidated. Here, we uncovered
Kiyoshi Yamaguchi   +20 more
doaj   +1 more source

Time-delayed models of gene regulatory networks [PDF]

open access: yes, 2015
We discuss different mathematical models of gene regulatory networks as relevant to the onset and development of cancer. After discussion of alternativemodelling approaches, we use a paradigmatic two-gene network to focus on the role played by time ...
Blyuss, K B   +3 more
core   +4 more sources

Pan-cancer detection of driver genes at the single-patient resolution

open access: yesGenome Medicine, 2021
Background Identifying the complete repertoire of genes that drive cancer in individual patients is crucial for precision oncology. Most established methods identify driver genes that are recurrently altered across patient cohorts. However, mapping these
Joel Nulsen   +3 more
doaj   +1 more source

A Boolean-based systems biology approach to predict novel genes associated with cancer: Application to colorectal cancer [PDF]

open access: yes, 2011
Background\ud \ud Cancer has remarkable complexity at the molecular level, with multiple genes, proteins, pathways and regulatory interconnections being affected.
Shivashankar H Nagaraj, Antonio Reverter
core   +2 more sources

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