Data on microRNA expression, predicted gene targets and pathway analysis in response to different concentrations of a cranberry proanthocyanidin-rich extract and its metabolite 3-(4-hydroxyphenyl)-propionic acid in intestinal Caco-2BBe1 cells-Reference-Cited by-同舟云学术

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Data on microRNA expression, predicted gene targets and pathway analysis in response to different concentrations of a cranberry proanthocyanidin-rich extract and its metabolite 3-(4-hydroxyphenyl)-propionic acid in intestinal Caco-2BBe1 cells

Published:2024-06 Issue: Volume:54 Page:110238
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Dimoff Zoe,Lofft Zoe^ORCID,Liang Fred,Chen Siying^ORCID,Massara Paraskevi^ORCID,Wu Diana,Paetau-Robinson Inke,Khoo Christina^ORCID,Taibi Amel^ORCID,Comelli Elena M.^ORCID

Publisher

Elsevier BV

Reference8 articles.

1. Cranberry proanthocyanidin and its microbial metabolite 3,4-dihydroxyphenylacetic acid, but not 3-(4-Hydroxyphenyl) -propionic acid, partially reverse pro-inflammatory microRNA responses in human intestinal epithelial cells;Lofft;Mol. Nutr. Food Res.,2022

2. R. Core Team, R foundation for statistical computing, 2013. https://www.R-project.org/.

3. NanoStringDiff: a novel statistical method for differential expression analysis based on NanoString nCounter data;Wang;Nucleic Acids Res.,2016

4. NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data;Waggott;Bioinformatics,2012

5. R. Kolde pheatmap: Pretty Heatmaps. 2019.

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