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Sökning: L773:1096 0929 > (2015-2019) > Expression Profilin...

Expression Profiling of Human Pluripotent Stem Cell-Derived Cardiomyocytes Exposed to Doxorubicin-Integration and Visualization of Multi-Omics Data

Holmgren, Gustav, 1983- (författare)
Högskolan i Skövde,Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för klinisk kemi och transfusionsmedicin,Institute of Biomedicine, Department of Clinical Chemistry and Transfusion Medicine,Institutionen för biovetenskap,Forskningscentrum för Systembiologi,Department of Clinical Chemistry and Transfusion Medicine, Institute of Biomedicine, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden / Takara Bio Europe AB, Gothenburg, Sweden,Bioinformatik
Sartipy, Peter (författare)
Högskolan i Skövde,Institutionen för biovetenskap,Forskningscentrum för Systembiologi,AstraZeneca Gothenburg, CVMD GMed, GMD, Mölndal, Sweden,Bioinformatik
Andersson, C. X. (författare)
Takara Bio Europe AB, Gothenburg, Sweden
visa fler...
Lindahl, Anders, 1954 (författare)
Gothenburg University,Göteborgs universitet,Institutionen för biomedicin, avdelningen för klinisk kemi och transfusionsmedicin,Institute of Biomedicine, Department of Clinical Chemistry and Transfusion Medicine,Department of Clinical Chemistry and Transfusion Medicine, Institute of Biomedicine, University of Gothenburg, Sahlgrenska University Hospital, Gothenburg, Sweden
Synnergren, Jane (författare)
Högskolan i Skövde,Institutionen för biovetenskap,Forskningscentrum för Systembiologi,Bioinformatik
visa färre...
 (creator_code:org_t)
2018-01-27
2018
Engelska.
Ingår i: Toxicological Sciences. - : Oxford University Press (OUP). - 1096-6080 .- 1096-0929. ; 163:1, s. 182-195
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • Anthracyclines, such as doxorubicin, are highly efficient chemotherapeutic agents against a variety of cancers. However, anthracyclines are also among the most cardiotoxic therapeutic drugs presently on the market. Chemotherapeutic-induced cardiomyopathy is one of the leading causes of disease and mortality in cancer survivors. The exact mechanisms responsible for doxorubicin-induced cardiomyopathy are not completely known, but the fact that the cardiotoxicity is dose-dependent and that there is a variation in time-to-onset of toxicity, and gender- and age differences suggests that several mechanisms may be involved. In this study, we investigated doxorubicin-induced cardiotoxicity in human pluripotent stem cell-derived cardiomyocytes using proteomics. In addition, different sources of omics data (protein, mRNA, and microRNA) from the same experimental setup were further combined and analyzed using newly developed methods to identify differential expression in data of various origin and types. Subsequently, the results were integrated in order to generate a combined visualization of the findings. In our experimental model system, we exposed cardiomyocytes derived from human pluripotent stem cells to doxorubicin for up to 2 days, followed by a wash-out period of additionally 12 days. Besides an effect on the cell morphology and cardiomyocyte functionality, the data show a strong effect of doxorubicin on all molecular levels investigated. Differential expression patterns that show a linkage between the proteome, transcriptome, and the regulatory microRNA network, were identified. These findings help to increase the understanding of the mechanisms behind anthracycline-induced cardiotoxicity and suggest putative biomarkers for this condition.

Ämnesord

NATURVETENSKAP  -- Biologi -- Biokemi och molekylärbiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Biochemistry and Molecular Biology (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Bioinformatics (hsv//eng)

Nyckelord

human pluripotent stem cells
cardiomyocytes
proteomics
multi-omics data
doxorubicin
toxicity
anthracycline-induced cardiotoxicity
cross-platform microarray
heart-failure
quantitative proteomics
big data
fibroblasts
biomarkers
micrornas
toxicity
therapy
Human pluripotent stem cells
Bioinformatik
INF502 Biomarkers
INF501 Integration of -omics Data

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