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. 2023 Mar 16;11:31. doi: 10.1186/s40364-023-00461-0

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© The Author(s) 2023

Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 2 — Expression changes between bulk MNCs and VLBs^CD34+. A Figure shows an MD plot displaying log2 fold change in expression profiles between MNCs and VLB^CD34+. Decreased expression in VLB^CD34+(blue); Increased expression in VLB^CD34+ (red). B Figure shows a PCA plot showing the variance between paired MNCs and VLB^CD34+ from 96 specimens. MNCs (light red). VLB^CD34+ (light blue). C Figure shows correlation between Euclidean distance using log2 RPKM values (y-axis) and blast percentage (x-axis). Euclidean distance is used to measure overall transcriptome difference between a pair of MNC and VLB samples