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Much of our current knowledge of the molecular expression profile of human embryonic stem cells (hESCs) is based on transcriptional approaches.
Tissues were embedded in Tissue Tek, frozen on dry ice, and sectioned at 16 (for molecular expression profile analysis) and 30 μm (for cell imaging).
Postnatal P21 brains (for molecular expression profile analysis) were fixed by transcardiac perfusion followed by 1 h postfixation with 4% PFA/PBS solution at 4 °C.
At cellular level, it appeared from our results that normal intestinal cells do not display the same miR profile in right and left colon, indicating that these cells do not have the same molecular expression profile.
Despite their heterogeneity, GBMs can be characterized based on their molecular expression profile into classical, mesenchymal, proneural, and neural subtypes correlated with certain mutations, chromosomal aberrations, severity and responses to therapy (Verhaak et al., 2010).
Knowledge on the genomic profile of xenografts is crucial also for selecting the most appropriate preclinical model, especially in the new era of targeted therapies that require model systems with a specific molecular expression profile that mimic a specific disease stage or patient group.
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Molecular expression profiles can uncover clues to functionally important molecules in the development of human disease and generate information to sub classify human tumors and tailor a treatment to the individual patient.
Molecular expression profiles can uncover clues to functionally important molecules in the development of human disease and generate information to subclassify human tumors and tailor a treatment to the individual patient.
To evaluate the effects of STAT3-CKO on the appearance and various molecular expression profiles of astrocytes in vitro, we used primary astrocyte cultures that are over 95% GFAP-expressing cells [21], [22].
Understanding these complex cellular responses requires the detailed analysis of global molecular expression profiling.
Distinct molecular expression profiles distinguishing between good and bad prognosis in RCC were identified [ 15- 26].
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