Genome‐wide 5hmC profiling in cell‐free DNA acquired from CRC patients, adenoma patients, and healthy individuals revealed that the differential 5hmC‐modified regions were gathered into four clusters with no overlap, although there are a few overlapped genes shared between the different clusters. CRC patients with adenoma history showed exclusive 5hmC‐gain characteristics, which was consistent with the ‘parallel’ evolution hypothesis in adenoma.
Background: Alterations in the expression level of miR-495 were recently observed in various tumours. Medulloblastoma is the most common malignant brain tumour in children. However, the clinical significance of miR-495 in medulloblastomas remains unclear. Methods: The expression levels of miR-495 was examined in 62 archival formalin-fixed paraffin-embedded (FFPE) medulloblastoma specimens using TaqMan Real-time Quantitative PCR arrays. Immunohistochemistry was used to determine the expression of Gfi1 in medulloblastoma tissues, and a luciferase reporter assay was carried out to confirm whether Gfi1 is a direct target of miR-495. Results: MiR-495 expression is repressed in medulloblastoma samples compared with normal cerebellum tissues. Furthermore, patients with a low level of miR-495 showed significantly poorer survival, as determined by the log-rank test (P = 0.033). The multivariate analysis results showed that the miR-495 expression levels were an independent predictor of overall survival in medulloblastoma patients (P = 0.027; hazard ratio = 0.267). Our study provides the first demonstration that miR-495 directly interacts with the Gfi1 3'UTR to regulate Gfi1 at a post-transcriptional level and that the expression level of miR-495 is inversely correlated with the Gfi1 protein level in medulloblastoma specimens. Conclusion: Our results suggest that miR-495 may be a prognostic predictor in medulloblastoma and that Gfi1 is a potential functional target of miR-495.
The
present study eliminated nonselective defects by amending the
MOF-based mixed matrix membrane (MMM) interface with (3-aminopropyl)
triethoxysilane (APTES) via Schiff’s base reaction. This modification
on the ZIF-90 nanoparticle surfaces enhanced the polydimethylsiloxane
(PDMS) matrix interaction in the MMMs. Interfacial defects were then
minimized through APTES-ZIF-90 nanoparticle surface alkoxy and PDMS
chain hydroxyl group cross-linking. Enhanced chemical interactions
between the nanoparticles and the polymeric matrix in the APTES-ZIF-90/PDMS
MMMs resulted in higher interface compatibility and separation performance
than the ZIF-90 nanoparticle MMMs, which ultimately improved its ethanol
affinity and hydrophobicity. When the load of APTES-ZIF-90 nanoparticles
was 15% and the temperature was 40 °C, the pervaporation performance
of APTES-ZIF-90/PDMS MMMs was optimal, the separation factor was 16.8,
and the permeation flux was 223 g/(m2·h). Compared
with pure PDMS, the separation factor and permeation flux increased
by 91 and 67%, respectively. In addition, stable APTES-ZIF-90/PDMS
MMM pervaporation performance was observed after an optimal operation
time of 120 h. Overall, the present work presented methods to optimize
MOF-based MMMs for enhanced interface morphology and separation performance
for ethanol recovery.
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