Busca avançada
Ano de início
Entree
(Referência obtida automaticamente do SciELO, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

A comparison between SOLiD 5500XLand Ion Torrent PGM-derived miRNA expression profiles in two breast cell lines

Texto completo
Autor(es):
Mostrar menos -
Gabriela Pereira Branco ; Renan Valieris ; Lucas Venezian Povoa ; Luiza Ferreira de Araújo ; Gustavo Ribeiro Fernandes ; Jorge Estefano Santana de Souza ; Maria Galli de Amorim ; Elisa Napolitano e Ferreira ; Israel Tojal da Silva ; Diana Noronha Nunes ; Emmanuel Dias-Neto
Número total de Autores: 11
Tipo de documento: Artigo Científico
Fonte: GENETICS AND MOLECULAR BIOLOGY; v. 43, n. 2, p. -, 2020.
Resumo

Abstract Next-generation sequencing (NGS) platforms allow the analysis of hundreds of millions of molecules in a single sequencing run, revolutionizing many research areas. NGS-based microRNA studies enable expression quantification in unprecedented scale without the limitations of closed-platforms. Yet, whereas a massive amount of data produced by these platforms is available, comparisons of quantification/discovery capabilities between platforms are still lacking. Here we compare two NGS-platforms: SOLiD and PGM, by evaluating their microRNA identification/quantification capabilities using two breast-derived cell-lines. A high expression correlation (R2 > 0.9) was achieved, encompassing 97% of the miRNAs, and the few discrepancies in miRNA counts were attributable to molecules that have very low expression. Quantification divergences indicative of artefactual representation were seen for 14 miRNAs (higher in SOLiD-reads) and another 10 miRNAs more abundant in PGM-data. An inspection of these revealed an increased and statistically significant count of uracyls and uracyl-stretches for PGM-enriched miRNAs, compared to SOLiD and to the miRBase. In parallel, adenines and adenine-stretches were enriched for SOLiDderived miRNA reads. We conclude that, whereas both platforms are overall consistent and can be used interchangeably for microRNA expression studies, particular sequence features appear to be indicative of specific platform bias, and their presence in microRNAs should be considered for database-analyses. (AU)

Processo FAPESP: 14/26897-0 - Epidemiologia e genômica de adenocarcinomas gástricos no Brasil
Beneficiário:Emmanuel Dias-Neto
Linha de fomento: Auxílio à Pesquisa - Temático
Processo FAPESP: 11/04399-0 - Descoberta e validação de pequenos RNAs preditivos de agressividade em câncer de mama
Beneficiário:Gabriela Pereira Branco
Linha de fomento: Bolsas no Brasil - Mestrado