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pmid:26484121

Genome-wide analysis of thapsigargin-induced microRNAs and their targets in NIH3T3 cells.

Jody Groenendyk · Xiao Fan · Zhenling Peng · Yaroslav Ilnytskyy · Lukasz Kurgan · Marek Michalak

Genomics data · 2014 doi:10.1016/j.gdata.2014.10.002

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Experiment

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Data

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Analysis

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title
Genome-wide analysis of thapsigargin-induced microRNAs and their targets in NIH3T3 cells.
doi
10.1016/j.gdata.2014.10.002
pmid
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Jody Groenendyk
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Xiao Fan
[2]
Zhenling Peng
[3]
Yaroslav Ilnytskyy
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Lukasz Kurgan
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Marek Michalak
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Genomics data
year
2014
abstract
Disruption of the endoplasmic reticulum (ER) homeostasis is the cause of ER stress. We performed microRNA (miRNA) analysis (deep sequencing) to search for coping responses (including signaling pathways) induced by disrupted ER Ca(2 +) homeostasis. Our focus was on a specific branch of UPR namely the bi-functional protein kinase/endoribonuclease inositol-requiring element 1α (IRE1α). Activated IRE1α undergoes autophosphorylation and oligomerization, leading to the activation of the endoribonuclease domain and splicing of the mRNA encoding XBP1 specific transcription factor. This processing changes the coding reading frame, producing a potent transcription factor termed XBP1s. We utilized the XBP1 splicing luciferase reporter to screen for modulators of the IRE1α branch of the unfolded protein response (UPR). Here, we describe a detailed experimental design and bioinformatics analysis of ER Ca(2 +) depletion (thapsigargin treated)-induced microRNA (deep sequencing) profile. The data can be access at the Gene Expression Omnibus (GEO), the National Center for Biotechnology Information (NCBI), reference number GSE57138.
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Differentially expressed miRNAs were detected using bioconductor package edgeR 2.2.5 following the instructions provided in user manual. We used TMM normalization and common dispersion (using tagwise dispersion yielded the same result). FDR was calculated according to the Hochberg–Benjamini procedure (PMID: 2218183).
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Next Generation Deep Sequencing Facilitates Quantitative Analysis of microRNA affected by thapsigargin treatment
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