Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2022 Jul 4;13:3833. doi: 10.1038/s41467-022-31155-0

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s) 2022

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/.

PMC Copyright notice

Fig. 7 — a, b Correlation analysis between RBM17 and EIF4A2 mRNA levels using the above microarray data about functionally defined 138 LSC-enriched and 89 non-LSC populations (P < 0.0001) (a) and TCGA dataset (P = 0.0013) (b). AML patient samples were ranked based on RBM17 expression, the population above the median value of RBM17 expression level was defined as ‘high’ RBM17 expression, while the population below the median value of RBM17 expression level was defined as ‘low’ RBM17 expression. Data are presented as mean ± SD, two-tailed Student’s t test. c, d GSEA enrichment plots showing RBM17 knockdown in K562 cells leads to downregulation of the EIF4A2_KD_DN gene set and upregulation of the EIF4A2_KD_UP gene set. The significance of NES was calculated using Kolmogorov-Smirnov statistics. e WB images showing expression of RBM17 and EIF4A2 in HL60 cells engineered to co-express TNGFR or EIF4A2 with and without RBM17 knockdown. n = 3 independent experiments. f, g Flow cytometry analysis of AnnexinV (f) and myeloid differentiation (g) in HL60 cells on day 8 following co-expression of TNGFR or EIF4A2 and knockdown of control scramble or RBM17. Data are presented as mean ± SD, n = 6. h GSEA enrichment plots showing EIF4A2 and RBM17 knockdown in K562 cells leads to downregulation of the GO ribosome biogenesis gene set. The significance of NES was calculated using Kolmogorov-Smirnov statistics. i Heat map showing downregulated proteins from the ribosome biogenesis gene set induced by EIF4A2 and RBM17 knockdown. j Representative histogram and quantification of flow cytometric detection of op-puro incorporation in HL60 cells on day7 following EIF4A2/RBM17 knockdown. Data shown as mean ± SD, n = 3, two-tailed Student’s t test. k Representative histogram and quantification of flow cytometric detection of op-puro incorporation in HL60 cells on day10 following simultaneous expression of TNGFR or EIF4A2 with or without RBM17 knockdown. Data shown as mean ± SD, n = 6, two-tailed Student’s t test. Source data are provided as a Source Data file.