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 Feb 10;139(6):894–906. doi: 10.1182/blood.2021012806

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

© 2022 by The American Society of Hematology

This article is made available via the PMC Open Access Subset for unrestricted reuse and analyses in any form or by any means with acknowledgment of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic or until permissions are revoked in writing. Upon expiration of these permissions, PMC is granted a perpetual license to make this article available via PMC and Europe PMC, consistent with existing copyright protections.

PMC Copyright notice

Figure 3. — NUP98-fusion proteins dissociate from chromatin upon treatment with VTP50469 at a subset of critical genes. (A) Tornado plot and average signal plot depicting genome-wide NUP98-HOXD13^bio chromatin occupancy as determined by ChIPseq in mouse leukemia cells expressing NUP98-HOXD13^bio. (B) Gene tracks of MLL1, Menin, and NUP98-HOXD13^bio ChIPseq signal (rpm) at selected genes. (C) Violin plot depicting changes in NUP98-HOXD13^bio occupancy for previously defined NUP98-HOXD13 target genes¹³ that display >log2 fold change in gene expression (dark blue, n = 19 genes) vs all NUP98-HOXD13 targets (light blue, n = 295 genes) vs all genes (gray, n = 616 genes). (D) Scatterplot depicting all genes that display changes in both NUP98-HOXD13^bio (x-axis) and MLL1 (y-axis) chromatin occupancy as measured by ChIPseq in NUP98-HOXD13^bio mouse leukemia cells. Data are representative of 2 independent experiments. Two-way ANOVA with Dunnett’s multiple comparisons test was performed.