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PBRM1-Dependent PBAF Targeting is Required for EMT and Metastasis in Breast Cancer

Overview of attention for article published in bioRxiv, October 2025
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Article details
Title
PBRM1-Dependent PBAF Targeting is Required for EMT and Metastasis in Breast Cancer
Published in
bioRxiv, October 2025
DOI 10.1101/2025.10.19.683137
Pubmed ID
Authors
Abstract

SWI/SNF chromatin remodelers utilize ATP to mobilize nucleosomes on DNA and are represented by three biochemically distinct subcomplexes, the more abundant cBAF and the less abundant PBAF and GBAF subcomplexes. Patient mutations and genetic studies have identified important roles for PBAF subunits in development and disease; however, relating PBAF-mediated phenotypes to biochemical function in chromatin regulation and gene expression has been challenging. Further complicating matters, cell-based systems often do not reflect the phenotypes and genotypes observed with PBAF mutations in vivo . Here we show that the PBRM1 subunit of PBAF is critical for the completion of TGFB1-mediated epithelial-mesenchymal transition of mammary cells in vitro as well as the metastasis of murine breast cancers in vivo. Using epigenomics to profile different stages of EMT, we find that PBRM1 is necessary for targeting PBAF to inducible promoters marked by H3K14ac alone. We further find that PBRM1 facilitates DNA accessibility at sites bound by TGFβ1-inducible transcription factors, such as Atf3, for the induction of genes involved in migration, cell survival, and inflammation. Our model allows us to separate constitutive vs inducible gene expression to help explain some of the context-dependent phenotypes observed with PBRM1 deletion. In addition, we provide evidence that while PBRM1 deletions can promote the initiation of certain cancers in early stages, PBAF may be a vulnerability in late-stage metastatic cancers.

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Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 October 2025.
All research outputs
#22,416,591
of 32,475,444 outputs
Outputs from bioRxiv
#5,471
of 12,873 outputs
Outputs of similar age
#156,494
of 349,942 outputs
Outputs of similar age from bioRxiv
#2,683
of 6,688 outputs
Altmetric has tracked 32,475,444 research outputs across all sources so far. This one is in the 29th percentile – i.e., 29% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,873 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 349,942 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 6,688 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.