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Research Article
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Enhancer-driven 3D chromatin domain folding modulates transcription in human mammary tumor cells

Silvia Kocanova, View ORCID ProfileFlavien Raynal, View ORCID ProfileIsabelle Goiffon, View ORCID ProfileBetul Akgol Oksuz, Davide Baú, View ORCID ProfileAlain Kamgoué, Sylvain Cantaloube, View ORCID ProfileYe Zhan, Bryan Lajoie, View ORCID ProfileMarc A Marti-Renom  Correspondence email, View ORCID ProfileJob Dekker  Correspondence email, View ORCID ProfileKerstin Bystricky  Correspondence email
Silvia Kocanova
1Molecular, Cellular and Developmental Biology Unit (MCD), Centre de Biologie Integrative (CBI), University of Toulouse, UPS, CNRS, Toulouse, France
Roles: Data curation, Formal analysis, Validation, Investigation, Methodology, Writing—original draft, Writing—review and editing
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Flavien Raynal
1Molecular, Cellular and Developmental Biology Unit (MCD), Centre de Biologie Integrative (CBI), University of Toulouse, UPS, CNRS, Toulouse, France
Roles: Data curation, Formal analysis, Methodology, Writing—review and editing
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  • ORCID record for Flavien Raynal
Isabelle Goiffon
1Molecular, Cellular and Developmental Biology Unit (MCD), Centre de Biologie Integrative (CBI), University of Toulouse, UPS, CNRS, Toulouse, France
Roles: Investigation, Methodology
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  • ORCID record for Isabelle Goiffon
Betul Akgol Oksuz
3Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
Roles: Formal analysis, Investigation
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  • ORCID record for Betul Akgol Oksuz
Davide Baú
5Centre Nacional d’Anàlisi Genòmica (CNAG), Barcelona, Spain
Roles: Investigation
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Alain Kamgoué
1Molecular, Cellular and Developmental Biology Unit (MCD), Centre de Biologie Integrative (CBI), University of Toulouse, UPS, CNRS, Toulouse, France
Roles: Software, Methodology
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Sylvain Cantaloube
1Molecular, Cellular and Developmental Biology Unit (MCD), Centre de Biologie Integrative (CBI), University of Toulouse, UPS, CNRS, Toulouse, France
Roles: Formal analysis
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Ye Zhan
3Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
Roles: Investigation
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  • ORCID record for Ye Zhan
Bryan Lajoie
3Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
Roles: Investigation
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Marc A Marti-Renom
5Centre Nacional d’Anàlisi Genòmica (CNAG), Barcelona, Spain
6Genome Biology Program, Centre de Regulació Genòmica (CRG), Barcelona, Spain
7Universitat Pompeu Fabra (UPF), Barcelona, Spain
8Institució Catalana de Recerca i Estudis Avançats (ICREA), Barcelona, Spain
Roles: Conceptualization, Data curation, Software, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Methodology, Writing—original draft, Writing—review and editing
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  • For correspondence: martirenom@cnag.eu
Job Dekker
3Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
4Howard Hughes Medical Institute, Chevy Chase, MD, USA
Roles: Conceptualization, Data curation, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Methodology, Writing—original draft, Project administration, Writing—review and editing
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  • For correspondence: Job.Dekker@umassmed.edu
Kerstin Bystricky
1Molecular, Cellular and Developmental Biology Unit (MCD), Centre de Biologie Integrative (CBI), University of Toulouse, UPS, CNRS, Toulouse, France
2Institut Universitaire de France (IUF), Paris, France
Roles: Conceptualization, Formal analysis, Supervision, Funding acquisition, Validation, Investigation, Visualization, Methodology, Writing—original draft, Project administration, Writing—review and editing
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  • For correspondence: kerstin.bystricky@univ-tlse3.fr
Published 21 November 2023. DOI: 10.26508/lsa.202302154
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    Figure 1. Preestablished genome organization of estrogen-regulated gene domains reflects transcriptional status.

    (A) Human breast cancer cell preparations and experimental flow used to interrogate 3D genome organization in cell lines expressing or not estrogen receptor α. (B) Interaction frequency 5C heatmaps at 1.8 kb resolution of 0.2–1.3 Mbp domains surrounding the PGR, ESR1, CCND1, and GREB1 genes in MCF7 and MDA-MB-231 cells. (C) Genomic interaction counts of the selected gene domains decayed by genomic distance, comparison between MCF7 (blue line) and MDA-MB-231 (red line) cells. (D) Chromatin landscape of the progesterone receptor gene and the ESR1 gene domains in MCF7 and MDA-MB-231 cells, from ENCODE (ENCODE Project Consortium, 2012; Guertin et al, 2014; Luo et al, 2020).

  • Figure S1.
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    Figure S1. Related to Fig 1.

    (A) Expression levels of four estrogen receptor α-regulated genes (progesterone receptor gene, growth regulation by estrogen in breast cancer 1, ESR1, and CCND1) confirmed by RT–qPCR in MCF7 and MDA-MB-231 cells. (B) Interaction frequency 5C heat maps at 1.8 kb resolution surrounding the progesterone receptor gene showing two distinct topologically associating domains in MCF7 cells and erasing the TAD2 in MDA-MB-231 cells. (C) Interaction frequency 5C heat maps at 1.8 kb resolution surrounding the ESR1 gene showing interactions between three estrogen receptor binding sites in MCF7 and their lost in MDA-MB-231 (green arrow), and more long-distance interactions in MDA-MB-231 cells (green arrowhead) compared with MCF7 profile. (D, E) Interaction frequency 5C heat maps surrounding the control gene (PUM1) and the interaction counts (E) determined in MCF7 and MDA-MB-231 cells. (F, G) Chromatin landscape of the CCND1 (F) and the growth regulation by estrogen in breast cancer 1 (G) gene domains in MCF7 and MDA-MB-231 cells, from ENCODE (ENCODE Project Consortium, 2012; Guertin et al, 2014; Luo et al, 2020).

  • Figure 2.
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    Figure 2. Ground-state domain architecture of the progesterone receptor gene domain stabilizes, and contact frequencies between regulatory elements are modulated, in response to estradiol signaling.

    (A) Experimental flow used to interrogate 3D genome organization in MCF7 cells treated or not with E2. (B) Interaction frequency 5C heatmaps of the progesterone receptor gene domain in estrogen starved (−E2) and stimulated (+E2) for 45 min and 3 h MCF7 cells. TAD boundaries do not change in MCF7 cells (red arrows) and ESRBs are indicated (orange arrows). Increased (green arrowhead) and lost (red arrowhead) contact frequencies are indicated. (C) Quantification of estrogen receptor binding site (ERBS–ERBS) interactions is calculated from 5C heatmaps. Representing the gain (first row) and lost (second row) of interactions between specific ERBSs. (D) Quantification of ERBS–transcription start site interactions showing variation in interaction with different ERBSs.

  • Figure 3.
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    Figure 3. Interactions between regulatory elements of the progesterone receptor gene domain are re-enforced in response to estradiol signaling in MCF7 cells.

    (A) Genomic position of fosmid probes used for 3D DNA FISH analysis. (B) Representative images from 3D imaging of dual-fosmid labeled and DAPI co-stained nuclei of MCF7 cells stimulated (+E2) or not (−E2) with 100 nM estradiol. Fos4 labeled with Alexa488 (green), Fos5 in red (labeled with Atto 647). Maximal projection of three planes is presented (0.2 μm per single plane). See MM for details. Scale bar 5 μm. (C) The violin plots representing inter-probe distances for different pairs of fosmids (n = 80–130 nuclei). Fisher’s test: *P-values: >0.05 (ns), <0.05 (*), <0.01 (**), <0.001 (***), <0.0001 (****). (D) The pie charts illustrating the proportion of inter-probe distances >200 nm, interval from 200–100 nm (≤200 nm) and interval from 0–100 nm (≤100 nm) for different pairs of fosmids in MCF7 cell stimulated or not by E2. Fisher’s test was used for statistics. (E) Representative images from 3D imaging of triple-fosmid–labeled and DAPI co-stained nuclei of MCF7 cells stimulated (+E2) or not (−E2) with 100 nM estradiol. Maximal projection of three planes for Fos1 (in red), Fos3 (in green), and Fos5 (in blue) are presenting. Scale bar 5 μm. (F) Single-cell analysis of relative position of three loci simultaneously representing as survival zone distribution of Fos1, Fos3, and Fos5. See MM for details. (G) Angle around the Fos3 measured from mutual position of the three loci in single cell. Fisher’s test was used for statistics.

  • Figure S2.
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    Figure S2. Related to Fig 3.

    (A) Violin plots representing inter-probe distances for different pairs of fosmids (n = 80–130 nuclei). Fisher’s test: *P-values: >0.05 (ns), <0.05 (*), <0.01 (**), <0.001 (***), <0.0001 (****). (B) Pie charts illustrating the proportion of inter-probe distances >200 nm, interval from 200–100 nm (≤200 nm) and interval from 100–0 nm (≤100 nm) for different pairs of fosmids in MCF7 cell stimulated or not by E2. Fisher’s test was used for statistics. (C) Genomic position of fosmid probes used for 3D DNA FISH analysis for control gene (PUM1). (D) Cumulative distribution functions for inter-probe distances obtained from 3D DNA FISH before (−E2) and after (+E2) transcription stimulation in MCF7 cells for PUM1.

  • Figure 4.
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    Figure 4. 3D folding of the progesterone receptor gene (PGR) chromatin domain reorganizes in response to transcription activation.

    (A) 3D models 5C contact frequencies in MCF7 cells exposed (+E2) or not (−E2) to estradiol, 20% of the most frequent models using TADbit (Serra et al, 2017) with distances (d) between the PGR gene body and its upstream ERE region are displayed. (A, B) 5C map (normalized counts) of the PGR domain on Chr 11. Color bar below the map corresponds to domains in (A). (A) Distances derived from models shown in (A): gray arches link segments <200 nm in the maps, red and blue arches link segments for which distances increased (red) or decreased (blue) in at least 50% of the cell population after 45 min or 3 h of estradiol exposure.

  • Figure S3.
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    Figure S3. Related to Fig 4.

    (A) Comparison between three-way distances derived from 5C modeling (green and red dots, from (A)) and in situ 3D FISH measured distances (blue clouds, data from Fig 3) in MCF7 before and after E2 treatment. The three axes show percentage of computed distances in all models or in all nuclei between genomic regions corresponding to selected fosmid sequences. (B) Contact frequencies in MDA-MB231 cells exposed to (+E2) or not (−E2) estradiol. Increased (red) or decreased (blue) in 50% of the cell population after 3 h of estradiol exposure.

  • Figure 5.
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    Figure 5. Domain folding facilitates enhancer function within the progesterone receptor gene chromatin domain during estradiol induced RNA polymerase 2 releases and activation.

    (A) Kinetics of estrogen receptor α progressive binding on estrogen receptor binding sites within the regulatory domain of the progesterone receptor gene. Data analyzed from Guertin et al (2014). (B) Time-course of chromatin-associated activators (GATA3, P300, c-Fos, c-jun, MYC, FoxA1), necessary for estrogen receptor α-dependent gene activation showing their presence at early or late E2 response. (C) Time-course after estradiol addition to hormone-starved MCF7 cells indicating RNA Pol2 pausing index (in red), mRNA production measured by RNA-seq (in blue) and by GRO-seq (in gray).

  • Figure 6.
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    Figure 6. 3D progesterone receptor gene (PGR) domain-folding steps.

    (A) Schematic cartoon showing linear region over 500 kb with the PGR gene body (100 kb), transcription start site (TSS) and seven ER binding sites (ERBS). (B) Model of two-state conformations of the self-interacting PGR domain showing the representative contacts between proximal and distal enhancers (estrogen receptor binding sites) and transcription start site upon early and late estrogen response in MCF7 cells.

Supplementary Materials

  • Figures
  • Table S1. Fosmids used in this study.

  • Table S2. Datasets used in this study (Joseph et al, 2010; Kong et al, 2011; wa Maina et al, 2014; Sloan et al, 2016; Zhou et al, 2019).

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Enhancer-driven domain folding
Silvia Kocanova, Flavien Raynal, Isabelle Goiffon, Betul Akgol Oksuz, Davide Baú, Alain Kamgoué, Sylvain Cantaloube, Ye Zhan, Bryan Lajoie, Marc A Marti-Renom, Job Dekker, Kerstin Bystricky
Life Science Alliance Nov 2023, 7 (2) e202302154; DOI: 10.26508/lsa.202302154

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Enhancer-driven domain folding
Silvia Kocanova, Flavien Raynal, Isabelle Goiffon, Betul Akgol Oksuz, Davide Baú, Alain Kamgoué, Sylvain Cantaloube, Ye Zhan, Bryan Lajoie, Marc A Marti-Renom, Job Dekker, Kerstin Bystricky
Life Science Alliance Nov 2023, 7 (2) e202302154; DOI: 10.26508/lsa.202302154
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