Use this url to cite publication: https://hdl.handle.net/20.500.12512/111018
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Profiling of microRNAs ìn crypt-top and crypt-bottom colonic epithelial cells of patients with active and inactive ulcerative colitis / Rūta Inčiūraitė, Simonas Juzėnas, Rima Ramonaitė, Jurgita Skiecevičienė
Type of publication
Recenzuojamos išplėstinės tezės / Peer-reviewed extended theses (T1d)
Title
Profiling of microRNAs ìn crypt-top and crypt-bottom colonic epithelial cells of patients with active and inactive ulcerative colitis / Rūta Inčiūraitė, Simonas Juzėnas, Rima Ramonaitė, Jurgita Skiecevičienė
Publisher (trusted)
Lithuanian University of Health Sciences |
Date Issued
Date Issued |
---|
2021-04-07 |
Extent
p. 18-19.
Is part of
Health for All: 2021 - International conference: Health for all 2021 : abstract book : [7-8 April, 2021, Kaunas, Lithuania / virtual event] / [organised: Doctoral Student’s committee of Lithuanian University of Health Sciences ; Abstract reviewers: I. Ulozienė, R. Vosyliūtė, A. Giedraitienė]. Kaunas : Lithuanian University of Health Sciences, 2021.
Version
Originalus / Original
Description
Bibliogr.: p. 19
Field of Science
Abstract
Introduction Ulcerative colitis (UC) is a chronic, relapsing condition defined by the intestinal inflammation [1]. One of the most common features of UC is the impairment of the intestinal barrier function, which is supported primarily by colonic epithelial cells (CEpCs) [2]. Considering the importance of the phenotypic diversity of CEpCs in the large intestine, examining the miRNA expression profiles of distinct CEpC populations of healthy individuals as well as of patients with active (aUC) and inactive (iUC) UC is of major importance to identify UC-induced miRNA markers in CEpCs. Aim To determine the changes in expression profiles of miRNA in crypt-top and crypt-bottom CEpC populations during aUC and iUC. Methods Crypt-top and crypt-bottom CEpCs were sorted from biopsies of healthy control (HC) individuals (n=19), patients with aUC (n=17) and iUC (n=15) using FACS technology (Dalerba et al., 2011). Total RNA was extracted, small RNA sequencing libraries were prepared and sequenced using Illumina platform. Sequencing data was processed with nextfIow-core/smrnaseq pipeline to generate miRNA count table. Differential expression, comparative, correlation, miRNA-target interactions, gene enrichment analyses and data visualisation were performed using Rstudio software packages DESeq2, isomiRs, multimiR, clusterProfiler, etc. The miRNAs with an adjusted p-value <0.05, and absolute value of log2 fold change >1 were considered to be significantly differentially expressed. Results 432 unique miRNAs were identified in samples. Changes of expression profile during aUC were identified in crypt-bottom CEpCs (compared to: (i) HC - 23 miRNAs, (ii) iUC - 22 miRNAs), as well as in crypt-top CEpCs (compared to: (i) HC - 28 miRNAs, (ii) iUC - 9 miRNAs). Also, 7 miRNAs were differentially expressed in crypt-bottom CEpCs and 3 miRNAs in crypt-top CEpCs during iUC compared to HC.5 miRNAs were identified to be differentially expressed during aUC, [...].
Type of document
type::text::conference output::conference proceedings::conference paper
ISSN (of the container)
2669-1507
Other Identifier(s)
(LSMU ALMA)990001037600107106
Coverage Spatial
Lietuva / Lithuania (LT)
Language
Anglų / English (en)
Bibliographic Details
2