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

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Branco, Gabriela Pereira ^[1] ; Valieris, Renan ^[2] ; Povoa, Lucas Venezian ^{[2, 3, 4]} ; de Araujo, Luiza Ferreira ^[1] ; Fernandes, Gustavo Ribeiro ^[1] ; Santana de Souza, Jorge Estefano ^[5] ; de Amorim, Maria Galli ^[1] ; Napolitano e Ferreira, Elisa ^{[6, 7]} ; da Silva, Israel Tojal ^[2] ; Nunes, Diana Noronha ^[1] ; Dias-Neto, Emmanuel ^{[1, 8]}

Afiliação do(s) autor(es)

^[1] AC Camargo Canc Ctr, Lab Genom Med, CIPE, Rua Tagua 440, Sao Paulo 01508010, SP - Brazil

^[2] AC Camargo Canc Ctr, Lab Biol Computac, Sao Paulo, SP - Brazil

^[3] Inst Tecnol Aeronaut, Grp Inteligencia Artificial & Robot, Div Ciencias Comp, Sao Jose Dos Campos, SP - Brazil

^[4] Inst Fed Educ Ciencia & Tecnol Sao Paulo, Caraguatatuba, SP - Brazil

^[5] Univ Fed Rio Grande do Norte, Inst Metropole Digital, Natal, RN - Brazil

^[6] AC Camargo Canc Ctr, Lab Genom & Biol, CIPE, Sao Paulo, SP - Brazil

^[7] Grp Fleury Pesquisa & Desenvolvimento, Sao Paulo, SP - Brazil

^[8] Univ Sao Paulo, Fac Med, Dept & Inst Psiquiatria, Lab Neurociencias Alzira Denise Hertzog Silva LIM, Sao Paulo, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: GENETICS AND MOLECULAR BIOLOGY; v. 43, n. 2 2020.
• Citações Web of Science: 0

Resumo

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 (R-2 > 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 SOLiD-derived 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: 11/04399-0 - Descoberta e validação de pequenos RNAs preditivos de agressividade em câncer de mama
• Beneficiário: Gabriela Pereira Branco
• Modalidade de apoio: Bolsas no Brasil - Mestrado
• Processo FAPESP: 14/26897-0 - Epidemiologia e genômica de adenocarcinomas gástricos no Brasil
• Beneficiário: Emmanuel Dias-Neto
• Modalidade de apoio: Auxílio à Pesquisa - Temático