Results 141 to 150 of about 7,167,330 (247)

Chemoresistome mapping in individual breast cancer patients unravels diversity in dynamic transcriptional adaptation

open access: yesMolecular Oncology, EarlyView.
This study used longitudinal transcriptomics and gene‐pattern classification to uncover patient‐specific mechanisms of chemotherapy resistance in breast cancer. Findings reveal preexisting drug‐tolerant states in primary tumors and diverse gene rewiring patterns across patients, converging on a few dysregulated functional modules. Despite receiving the
Maya Dadiani   +14 more
wiley   +1 more source

DigiLoCS: A leap forward in predictive organ-on-chip simulations. [PDF]

open access: yesPLoS One
Aravindakshan MR   +4 more
europepmc   +1 more source

Modelling biological complexity: a physical scientist's perspective

open access: yesJournal of the Royal Society Interface, 2005
P. Coveney, P. Fowler
semanticscholar   +1 more source

Ubiquitination of transcription factors in cancer: unveiling therapeutic potential

open access: yesMolecular Oncology, EarlyView.
In cancer, dysregulated ubiquitination of transcription factors contributes to the uncontrolled growth and survival characteristics of tumors. Tumor suppressors are degraded by aberrant ubiquitination, or oncogenic transcription factors gain stability through ubiquitination, thereby promoting tumorigenesis.
Dongha Kim, Hye Jin Nam, Sung Hee Baek
wiley   +1 more source

Targeted protein degradation in oncology: novel therapeutic opportunity for solid tumours?

open access: yesMolecular Oncology, EarlyView.
Current anticancer therapies are limited by the occurrence of resistance and undruggability of most proteins. Targeted protein degraders are novel, promising agents that trigger the selective degradation of previously undruggable proteins through the recruitment of the ubiquitin–proteasome machinery. Their mechanism of action raises exciting challenges,
Noé Herbel, Sophie Postel‐Vinay
wiley   +1 more source

Dynamic modelling of signalling pathways when ordinary differential equations are not feasible. [PDF]

open access: yesBioinformatics
Rachel T   +4 more
europepmc   +1 more source

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