The chromatin remodelers RSC and ISW1 display functional and chromatin-based promoter antagonism

  1. Timothy J Parnell
  2. Alisha Schlichter
  3. Boris G Wilson
  4. Bradley R Cairns  Is a corresponding author
  1. Howard Hughes Medical Institute, University of Utah School of Medicine, United States
  2. University of Utah School of Medicine, United States

Decision letter

  1. James T Kadonaga
    Reviewing Editor; University of California, San Diego, United States

eLife posts the editorial decision letter and author response on a selection of the published articles (subject to the approval of the authors). An edited version of the letter sent to the authors after peer review is shown, indicating the substantive concerns or comments; minor concerns are not usually shown. Reviewers have the opportunity to discuss the decision before the letter is sent (see review process). Similarly, the author response typically shows only responses to the major concerns raised by the reviewers.

Thank you for sending your work entitled “RSC and ISW1 Chromatin Remodelers Display Functional and Chromatin-based Promoter Antagonism” for consideration at eLife. Your article has been favorably evaluated by Aviv Regev (Senior editor) and three reviewers, one of whom is a member of our Board of Reviewing Editors.

The Reviewing editor and the other reviewers discussed their comments before we reached this decision, and the Reviewing editor has assembled the following comments to help you prepare a revised submission.

This paper addresses the functional antagonism between the RSC and ISW1a remodeling complexes, a subject that is of emerging interest in the chromatin field. By using a synthetic genetic array (SGA) approach to screen for suppressors of rsc mutants, the authors discovered that another remodeling protein, Isw1, specifically ameliorates the rsc mutant phenotypes. Nucleosome mapping studies revealed global effects of RSC and ISW1a complexes acting against each other in shaping the promoter chromatin architecture. This work appears to be a promising candidate for eLife. There are, however, a number of specific questions and concerns that need to be addressed.

1) It was somewhat surprising that the general changes in nucleosome arrangement were accompanied by very few changes in RNA levels (Figure 4D; Figure 4–figure supplement 2). For the few genes (e.g., MTH1, GOS1, SNF6, HIS4) that do show clear gene expression changes upon suppression by ioc3Δ or isw1Δ, the authors should also reveal the corresponding nucleosome maps so that readers can assess the relationship between nucleosome occupancy/position and transcription, and whether there is any correlation between the chromatin and transcription in this respect. Whatever the correlation, the issue should be articulated in the text, and possible explanations provided. Likewise it would be useful to know where the functionally affected genes fall in the categories of open and closed promoters. Do any rules emerge, or is it just random?

2) There appears to be a contradiction between Figures 4A and 6B. In Figure 4A, it appears that clusters 5 and 6 have the lowest RSC occupancy, whereas in Figure 6B, it appears that clusters 5 and 6 have the highest RSC occupancy. This point needs to be clarified.

3) The summary diagram Figure 7 “Open” can be easily interpreted, but Figure 7 “Closed” is confusing.

https://doi.org/10.7554/eLife.06073.021

Author response

1) It was somewhat surprising that the general changes in nucleosome arrangement were accompanied by very few changes in RNA levels (Figure 4D; Figure 4–figure supplement 2). For the few genes (e.g., MTH1, GOS1, SNF6, HIS4) that do show clear gene expression changes upon suppression by ioc3Δ or isw1Δ, the authors should also reveal the corresponding nucleosome maps so that readers can assess the relationship between nucleosome occupancy/position and transcription, and whether there is any correlation between the chromatin and transcription in this respect. Whatever the correlation, the issue should be articulated in the text, and possible explanations provided. Likewise it would be useful to know where the functionally affected genes fall in the categories of open and closed promoters. Do any rules emerge, or is it just random?

As requested, we examined the genic nucleosome profile analysis for the 20 genes identified as suppressed by either isw1 or ioc3. Ideally, one could link changes in nucleosome positioning to expression by using high-resolution data to show that a nucleosome has moved with respect to an important cis-controlling element, and then infer that the movement might underlie the expression change. However, our profiles are derived from a microarray platform, and although these arrays proved to be very reproducible and provide great ‘class average’ maps of gene/promoter cohorts, their resolution does not allow us to state with confidence that a single nucleosome underlies the expression change. This is indeed a limitation worth discussing, so we have added text in the Results section to reflect this limitation, and we have also included how these genes partition into the open and closed categories. This is one reason why we did not focus our paper on these single genes, but instead focused the work on our clear genetic and genomic (cohort average) evidence for antagonism between these two Remodeler families and how this interplay affects promoter/gene architecture at cohorts of genes. Future work by us and others will indeed address their interplay at particular genes.

2) There appears to be a contradiction between Figures 4A and 6B. In Figure 4A, it appears that clusters 5 and 6 have the lowest RSC occupancy, whereas in Figure 6B, it appears that clusters 5 and 6 have the highest RSC occupancy. This point needs to be clarified.

In retrospect, we see how this was a major source of confusion, but it is easily explained and corrected. The six clusters in Figure 4A and Figure 6 actually involve different datasets, clustered separately, that just happened to both have six clusters. We thank the reviewers for noticing this, as we now see how a reader could have easily thought that these were the same datasets. In actuality, these two figure panels represent independent k-means cluster organizations of different data. Figure 4A represents the k-means cluster organization of the RSC and ISW1a occupancy based on the microarray data, and was provided entirely for illustrative purposes to simply show the similarity of RSC and ISW1a occupancy. Figure 6 displays instead the k-means clustering of the rsc null/RSC nucleosome ratio generated (and shown) in Figure 5, and thus bear no relationship to those derived in Figure 4. To reduce confusion, the cluster labels have been removed from Figure 4; these labels and groups are never mentioned in the manuscript. Furthermore, we make this distinction clear in the text. Additionally, some references to cluster groups in the text now explicitly reference to those clusters derived in Figure 5, to help guide the reader.

3) The summary diagram Figure 7 “Open” can be easily interpreted, but Figure 7 “Closed” is confusing.

We agree, and have revised the right side of the diagram figure fairly extensively. We have removed some of the action arrows with the same color as the remodeler, as we believe this was confusing as to what function these arrows portray. Instead, all action arrows are the same color as the nucleosomes to indicate what direction nucleosomes are moving.

https://doi.org/10.7554/eLife.06073.022

Download links

A two-part list of links to download the article, or parts of the article, in various formats.

Downloads (link to download the article as PDF)

Open citations (links to open the citations from this article in various online reference manager services)

Cite this article (links to download the citations from this article in formats compatible with various reference manager tools)

  1. Timothy J Parnell
  2. Alisha Schlichter
  3. Boris G Wilson
  4. Bradley R Cairns
(2015)
The chromatin remodelers RSC and ISW1 display functional and chromatin-based promoter antagonism
eLife 4:e06073.
https://doi.org/10.7554/eLife.06073

Share this article

https://doi.org/10.7554/eLife.06073