MiRNA expression profile for the human gastric antrum region using ultra-deep sequencing.

<h4>Background</h4>MicroRNAs are small non-coding nucleotide sequences that regulate gene expression. These structures are fundamental to several biological processes, including cell proliferation, development, differentiation and apoptosis. Identifying the expression profile of microRNA...

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Main Authors: Fabiano Cordeiro Moreira, Monica Assumpção, Igor G Hamoy, Sylvain Darnet, Rommel Burbano, André Khayat, André Nicolau Gonçalves, Dayse O Alencar, Aline Cruz, Leandro Magalhães, Wilson Araújo, Artur Silva, Sidney Santos, Samia Demachki, Paulo Assumpção, Andrea Ribeiro-dos-Santos
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24647245/pdf/?tool=EBI
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author Fabiano Cordeiro Moreira
Monica Assumpção
Igor G Hamoy
Sylvain Darnet
Rommel Burbano
André Khayat
André Nicolau Gonçalves
Dayse O Alencar
Aline Cruz
Leandro Magalhães
Wilson Araújo
Artur Silva
Sidney Santos
Samia Demachki
Paulo Assumpção
Andrea Ribeiro-dos-Santos
author_facet Fabiano Cordeiro Moreira
Monica Assumpção
Igor G Hamoy
Sylvain Darnet
Rommel Burbano
André Khayat
André Nicolau Gonçalves
Dayse O Alencar
Aline Cruz
Leandro Magalhães
Wilson Araújo
Artur Silva
Sidney Santos
Samia Demachki
Paulo Assumpção
Andrea Ribeiro-dos-Santos
author_sort Fabiano Cordeiro Moreira
collection DOAJ
description <h4>Background</h4>MicroRNAs are small non-coding nucleotide sequences that regulate gene expression. These structures are fundamental to several biological processes, including cell proliferation, development, differentiation and apoptosis. Identifying the expression profile of microRNAs in healthy human gastric antrum mucosa may help elucidate the miRNA regulatory mechanisms of the human stomach.<h4>Methodology/principal findings</h4>A small RNA library of stomach antrum tissue was sequenced using high-throughput SOLiD sequencing technology. The total read count for the gastric mucosa antrum region was greater than 618,000. After filtering and aligning using with MirBase, 148 mature miRNAs were identified in the gastric antrum tissue, totaling 3,181 quality reads; 63.5% (2,021) of the reads were concentrated in the eight most highly expressed miRNAs (hsa-mir-145, hsa-mir-29a, hsa-mir-29c, hsa-mir-21, hsa-mir-451a, hsa-mir-192, hsa-mir-191 and hsa-mir-148a). RT-PCR validated the expression profiles of seven of these highly expressed miRNAs and confirmed the sequencing results obtained using the SOLiD platform.<h4>Conclusions/significance</h4>In comparison with other tissues, the antrum's expression profile was unique with respect to the most highly expressed miRNAs, suggesting that this expression profile is specific to stomach antrum tissue. The current study provides a starting point for a more comprehensive understanding of the role of miRNAs in the regulation of the molecular processes of the human stomach.
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spelling doaj.art-8b3ff2f303f949f987e03432e9ca230f2022-12-21T22:41:37ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0193e9230010.1371/journal.pone.0092300MiRNA expression profile for the human gastric antrum region using ultra-deep sequencing.Fabiano Cordeiro MoreiraMonica AssumpçãoIgor G HamoySylvain DarnetRommel BurbanoAndré KhayatAndré Nicolau GonçalvesDayse O AlencarAline CruzLeandro MagalhãesWilson AraújoArtur SilvaSidney SantosSamia DemachkiPaulo AssumpçãoAndrea Ribeiro-dos-Santos<h4>Background</h4>MicroRNAs are small non-coding nucleotide sequences that regulate gene expression. These structures are fundamental to several biological processes, including cell proliferation, development, differentiation and apoptosis. Identifying the expression profile of microRNAs in healthy human gastric antrum mucosa may help elucidate the miRNA regulatory mechanisms of the human stomach.<h4>Methodology/principal findings</h4>A small RNA library of stomach antrum tissue was sequenced using high-throughput SOLiD sequencing technology. The total read count for the gastric mucosa antrum region was greater than 618,000. After filtering and aligning using with MirBase, 148 mature miRNAs were identified in the gastric antrum tissue, totaling 3,181 quality reads; 63.5% (2,021) of the reads were concentrated in the eight most highly expressed miRNAs (hsa-mir-145, hsa-mir-29a, hsa-mir-29c, hsa-mir-21, hsa-mir-451a, hsa-mir-192, hsa-mir-191 and hsa-mir-148a). RT-PCR validated the expression profiles of seven of these highly expressed miRNAs and confirmed the sequencing results obtained using the SOLiD platform.<h4>Conclusions/significance</h4>In comparison with other tissues, the antrum's expression profile was unique with respect to the most highly expressed miRNAs, suggesting that this expression profile is specific to stomach antrum tissue. The current study provides a starting point for a more comprehensive understanding of the role of miRNAs in the regulation of the molecular processes of the human stomach.https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24647245/pdf/?tool=EBI
spellingShingle Fabiano Cordeiro Moreira
Monica Assumpção
Igor G Hamoy
Sylvain Darnet
Rommel Burbano
André Khayat
André Nicolau Gonçalves
Dayse O Alencar
Aline Cruz
Leandro Magalhães
Wilson Araújo
Artur Silva
Sidney Santos
Samia Demachki
Paulo Assumpção
Andrea Ribeiro-dos-Santos
MiRNA expression profile for the human gastric antrum region using ultra-deep sequencing.
PLoS ONE
title MiRNA expression profile for the human gastric antrum region using ultra-deep sequencing.
title_full MiRNA expression profile for the human gastric antrum region using ultra-deep sequencing.
title_fullStr MiRNA expression profile for the human gastric antrum region using ultra-deep sequencing.
title_full_unstemmed MiRNA expression profile for the human gastric antrum region using ultra-deep sequencing.
title_short MiRNA expression profile for the human gastric antrum region using ultra-deep sequencing.
title_sort mirna expression profile for the human gastric antrum region using ultra deep sequencing
url https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24647245/pdf/?tool=EBI
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