| 1. |
- Holland, Petter, 1985, et al.
(författare)
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Coupling cell division to metabolic pathways through transcription
- 2018
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Ingår i: Encyclopedia of Bioinformatics and Computational Biology: ABC of Bioinformatics. ; 1-3, s. 74-93
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- Cellular growth is ensured by alternation of DNA duplication and cell division cycles. This alternation is coordinated by the interplay between enzymatic activities, called kinases, and transcription factors, to keep the cell cycle timing. Here we investigate whether transcription factors may serve as hubs connecting multi-scale cellular networks. A variant of chromatin immunoprecipitation, called ChIP-exo, was performed to identify targets of Forkhead (Fkh) transcription factors across the budding yeast genome. Data analyses indicate that the Fkh-mediated transcriptional program may activate metabolic pathways and synchronize kinase activities to guarantee alternation of DNA duplication and cell division, thereby a timely cell’s cycling.
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| 2. |
- Malapelle, Umberto, et al.
(författare)
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Predictive molecular pathology in the time of coronavirus disease (COVID-19) in Europe
- 2021
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Ingår i: Journal of Clinical Pathology. - : BMJ. - 0021-9746 .- 1472-4146. ; 74:6, s. 391-395
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Tidskriftsartikel (refereegranskat)abstract
- Aims Lung cancer predictive biomarker testing is essential to select advanced-stage patients for targeted treatments and should be carried out without delays even during health emergencies, such as the coronavirus (COVID-19) outbreak. Methods Fifteen molecular laboratories from seven different European countries compared 4 weeks of national lockdown to a corresponding period in 2019, in terms of tissue and/or plasma-based molecular test workload, analytical platforms adopted, number of cases undergoing programmed death-ligand1 (PD-L1) expression assessment and DNA-based molecular tests turnaround time. Results In most laboratories (80.0%), tissue-based molecular test workload was reduced. In 40.0% of laboratories (6/15), the decrease was >25%, and in one, reduction was as high as 80.0%. In this instance, a concomitant increase in liquid biopsy was reported (60.0%). Remarkably, in 33.3% of the laboratories, real-time PCR (RT-PCR)-based methodologies increased, whereas highly multiplexing assays approaches decreased. Most laboratories (88.9%) did not report significant variations in PD-L1 volume testing. Conclusions The workload of molecular testing for patients with advanced-stage lung cancer during the lockdown showed little variations. Local strategies to overcome health emergency-related issues included the preference for RT-PCR tissue-based testing methodologies and, occasionally, for liquid biopsy.
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| 3. |
- Mondeel, Thierry D.G.A., et al.
(författare)
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ChIP-exo analysis highlights Fkh1 and Fkh2 transcription factors as hubs that integrate multi-scale networks in budding yeast
- 2019
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Ingår i: Nucleic Acids Research. - : Oxford University Press (OUP). - 0305-1048 .- 1362-4962. ; 47:15, s. 7825-7841
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Tidskriftsartikel (refereegranskat)abstract
- The understanding of the multi-scale nature of molecular networks represents a major challenge. For example, regulation of a timely cell cycle must be coordinated with growth, during which changes in metabolism occur, and integrate information from the extracellular environment, e.g. signal transduction. Forkhead transcription factors are evolutionarily conserved among eukaryotes, and coordinate a timely cell cycle progression in budding yeast. Specifically, Fkh1 and Fkh2 are expressed during a lengthy window of the cell cycle, thus are potentially able to function as hubs in the multi-scale cellular environment that interlocks various biochemical networks. Here we report on a novel ChIP-exo dataset for Fkh1 and Fkh2 in both logarithmic and stationary phases, which is analyzed by novel and existing software tools. Our analysis confirms known Forkhead targets from available ChIP-chip studies and highlights novel ones involved in the cell cycle, metabolism and signal transduction. Target genes are analyzed with respect to their function, temporal expression during the cell cycle, correlation with Fkh1 and Fkh2 as well as signaling and metabolic pathways they occur in. Furthermore, differences in targets between Fkh1 and Fkh2 are presented. Our work highlights Forkhead transcription factors as hubs that integrate multi-scale networks to achieve proper timing of cell division in budding yeast.
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