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Influence of storage conditions of small volumes of blood on immune transcriptomic profiles

OBJECTIVE: Transcriptome analysis of human whole blood is used to discover biomarkers of diseases and to assess phenotypic traits. Here we have collected small volumes of blood in Tempus solution and tested whether different storage conditions have an impact on transcriptomic profiling. Fifty µl of...

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Detalles Bibliográficos
Autores principales: Mathew, Rebecca, Toufiq, Mohammed, Mattei, Valentina, Al Hashmi, Muna, Shobha Manjunath, Harshitha, Syed Ahamed Kabeer, Basirudeen, Calzone, Rita, Cugno, Chiara, Chaussabel, Damien, Deola, Sara, Tomei, Sara
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7069204/
https://www.ncbi.nlm.nih.gov/pubmed/32169090
http://dx.doi.org/10.1186/s13104-020-04980-z
Descripción
Sumario:OBJECTIVE: Transcriptome analysis of human whole blood is used to discover biomarkers of diseases and to assess phenotypic traits. Here we have collected small volumes of blood in Tempus solution and tested whether different storage conditions have an impact on transcriptomic profiling. Fifty µl of blood were collected in 100µl of Tempus solutions, freezed at − 20 °C for 1 day and eventually thawed, stored and processed under five different conditions: (i) − 20 °C for 1 week; (ii) +4 °C for 1 week; (iii) room temperature for 1 week; (iv) room temperature for 1 day, − 20 °C for 1 day, room temperature until testing at day 7, (v) − 20 °C for 1 week, RNA was isolated and stored in GenTegra solution. We used 272 immune transcript specific assays to test the expression profiling using qPCR based Fluidigm BioMark HD dynamic array. RESULTS: RNA yield ranged between 0.17 and 1.39µg. Except for one sample, RIN values were > 7. Using Principal Component Analysis, we saw that the storage conditions did not drive sample distribution. The condition that showed larger variability was the RT-FR-RT (room temperature–freezing–room temperature), suggesting that freezing–thawing cycles may have a worse effect on data reproducibility than keeping the samples at room temperature.