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. 2017 Apr 21;7:1053. doi: 10.1038/s41598-017-01165-w

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© The Author(s) 2017

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

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Low-input and low-bias ion torrent mRNA-seq. (A) Principle of the ion-torrent LIEA method and comparison to the smart-seq (pre-amplification) strategy. (B) Read length distribution of ion-torrent low-input mRNA-seq. (C) Comparison of the total read count, mapped read count and number of genes quantified by ion torrent LIEA method, smart-seq2 and Illumina bulk RNA-seq, for HBE cell line. (D) Error rate distribution of two platforms. An error is defined as a mismatch or indel nucleotide when aligned to the reference sequence. (E) Overlap of quantified genes of the three methods. (F) Comparison of the gene expression quantification using two low-input methods against Illumina bulk mRNA-seq, all for HBE cells. Ion torrent LIEA method was carried out twice as biological replicates. (G) Comparison of the gene expression quantification using LIEA method with 200 cells as starting material and Illumina bulk mRNA-seq.