How DNA is organized in three dimensions inside the cell nucleus and how this affects the ways in which cells access, read and interpret genetic information are among the longest standing questions in cell biology. Using newly developed molecular, genomic and computational approaches based on the chromosome conformation capture technology (such as 3C, 4C, 5C and Hi-C), the spatial organization of genomes is being explored at unprecedented resolution. Interpreting the increasingly large chromatin interaction data sets is now posing novel challenges. Here we describe several types of statistical and computational approaches that have recently been developed to analyse chromatin interaction data. ; National Institutes of Health (U.S.) ; National Human Genome Research Institute (U.S.) (HG003143) ; National Human Genome Research Institute (U.S.) (HG003143-06S1) ; W. M. Keck Foundation ; Spain. Ministerio de Ciencia e Innovación (BFU2010-19310/BMC) ; Human Frontier Science Program (Strasbourg, France) (RGP0044/2011) ; European Union (BLUEPRINT project (EU FP7 grant agreement 282510)) ; National Cancer Institute (U.S.) (Physical Sciences Oncology Center at MIT, U54CA143874)
The intrinsic dynamic nature of chromosomes is emerging as a fundamental component in regulating DNA transcription, replication, and damage-repair among other nuclear functions. With this increased awareness, reinforced over the last ten years, many new experimental techniques, mainly based on microscopy and chromosome conformation capture, have been introduced to study the genome in space and time. Owing to the increasing complexity of these cutting-edge techniques, computational approaches have become of paramount importance to interpret, contextualize, and complement such experiments with new insights. Hence, it is becoming crucial for experimental biologists to have a clear understanding of the diverse theoretical modeling approaches available and the biological information each of them can provide. ; M.A.M-R. acknowledges support from the European Union's Seventh Framework Programme through the ERC (grant agreement 609989), European Union's Horizon 2020 research and innovation programme (grant agreement 676556), and the Spanish Ministerio de Ciencia, Innovación y Universidades (BFU2017-85926-P). M.D.S. acknowledges support from the ORION project that has received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement (grant agreement 741527). D.J. acknowledges Agence Nationale de la Recherche (ANR-18-CE12-0006-03, ANR-18-CE45-0022-01) for funding. CRG acknowledges support from 'Centro de Excelencia Severo Ochoa 2013-2017', SEV-2012-0208 and the CERCA Programme/Generalitat de Catalunya as well as support of the Spanish Ministry of Science and Innovation through the Instituto de Salud Carlos III and the EMBL partnership, the Generalitat de Catalunya through Departament de Salut and Departament d'Empresa i Coneixement, and the Co-financing with funds from the European Regional Development Fund (ERDF) by the Spanish Ministery of Science and Innovation coresponding to the Programa Opertaivo FEDER Plurirregional de España (POPE) 2014-2020 and by the Secretaria d'Universitats i Recerca, Departament d'Empresa i Coneixement of the Generalitat de Catalunya corresponding to the programa Operatiu FEDER Catalunya 2014-2020. Open Access fees paid from COST Action INC (CA18127), supported by COST (European Cooperation in Science and Technology)
The genome is organized in a hierarchical fashion within the nucleus in interphase. This nonrandom folding of the chromatin fiber is thought to play important roles in the processing of the genetic information. Therefore, a better knowledge of the mechanisms underlying the three-dimensional structure of the genome appears essential to fully understand the nuclear processes including transcription and replication. Fluorescent in situ hybridization (FISH) and molecular biology methods deriving from the Chromosome Conformation Capture technique are the methods of choice to study genome 3D organization at different levels. Although these single cell and population methods allowed to highlight similar chromatin structures, they also show frequent discrepancies which might be better understood by improving the capacity to generate actual 3D models of organization based on the different types of data available. This review aims at giving an overview of the principles, advantages, and limits of microscopy and molecular biology methods of analysis of genome structure and at discussing the different approaches of modeling of chromatin classically used and the improvements that are necessary to reach a better understanding on the links between chromatin structure and its spatial organization. ; This review has received funding from the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013)/ERC grant agreement 609989. We acknowledge funding from the Spanish Ministry of Economy and Competitiveness (BFU2013-47736-P) and the European Union's Horizon 2020 research and innovation programme under grant agreement No 676556 and support of the Spanish Ministry of Economy and Competitiveness, 'Centro de Excelencia Severo Ochoa 2013-2017', SEV-2012-0208 and of the CERCA Programme/Generalitat de Catalunya to the CRG
Chromosome conformation capture techniques, such as Hi-C, are fundamental in characterizing genome organization. These methods have revealed several genomic features, such as chromatin loops, whose disruption can have dramatic effects in gene regulation. Unfortunately, their detection is difficult; current methods require that the users choose the resolution of interaction maps based on dataset quality and sequencing depth. Here, we introduce Binless, a resolution-agnostic method that adapts to the quality and quantity of available data, to detect both interactions and differences. Binless relies on an alternate representation of Hi-C data, which leads to a more detailed classification of paired-end reads. Using a large-scale benchmark, we demonstrate that Binless is able to call interactions with higher reproducibility than other existing methods. Binless, which is freely available, can thus reliably be used to identify chromatin loops as well as for differential analysis of chromatin interaction maps. ; This work has been partially supported by the European Research Council under the European Union's Seventh Framework Programme (FP7/2007-2013)/ERC Synergy grant agreement 609989 (4Dgenome), the European Union's Horizon 2020 research and innovation programme (agreement 676556) as well as the Spanish MINECO (BFU2017-85926-P). We acknowledge support of the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) to the EMBL partnership, the Centro de Excelencia Severo Ochoa and the CERCA Programme / Generalitat de Catalunya. We also acknowledge support of the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) through the Instituto de Salud Carlos III, the Generalitat de Catalunya through Departament de Salut and Departament d'Empresa i Coneixement and the Co-financing by the Spanish Ministry of Economy, Industry and Competitiveness (MEIC) with funds from the European Regional Development Fund (ERDF) corresponding to the 2014-2020 Smart Growth Operating Program
The 3D genome is characterized by a complex organization made of genomic and epigenomic layers with profound implications on gene regulation and cell function. However, the understanding of the fundamental mechanisms driving the crosstalk between nuclear architecture and (epi)genomic information is still lacking. The plant Arabidopsis thaliana is a powerful model organism to address these questions owing to its compact genome for which we have a rich collection of microscopy, chromosome conformation capture (Hi-C) and ChIP-seq experiments. Using polymer modelling, we investigate the roles of nucleolus formation and epigenomics-driven interactions in shaping the 3D genome of A. thaliana. By validation of several predictions with published data, we demonstrate that self-attracting nucleolar organizing regions and repulsive constitutive heterochromatin are major mechanisms to regulate the organization of chromosomes. Simulations also suggest that interphase chromosomes maintain a partial structural memory of the V-shapes, typical of (sub)metacentric chromosomes in anaphase. Additionally, self-attraction between facultative heterochromatin regions facilitates the formation of Polycomb bodies hosting H3K27me3-enriched gene-clusters. Since nucleolus and heterochromatin are highly-conserved in eukaryotic cells, our findings pave the way for a comprehensive characterization of the generic principles that are likely to shape and regulate the 3D genome in many species. ; Funding: European Union's H2020 Framework Programme through the ERC [609989 to M.A.M.-R.]; Spanish Ministry of Science and Innovation [BFU2017-85926-P to M.A.M.-R.]; Spanish Ministry of Science and Innovation to the EMBL [to C.R.G.]; Centro de Excelencia Severo Ochoa 2013–2017 [SEV-2012 0208]; CERCAProgramme/Generalitat de Catalunya, Spanish Ministry of Science and Innovation through the Instituto de Salud Carlos III; Generalitat de Catalunya through Departament de Salut and Departament d'Empresa i Coneixement; Spanish Ministry of Science and Innovation with funds from the European Regional Development Fund (ERDF) corresponding to the 2014–2020 Smart Growth Operating Program; Agence Nationale de la Recherche [ANR-18-CE12-0006-03, ANR-18-CE45-0022-01 to D.J.]; Royal Society [University Research Fellowship UF160138 to H.W.N.]; STSM Grant from COST Action CA17139. Funding for open access charge: COSTAction INC (CA18127), supported by COST(European Cooperation in Science and Technology)
To understand the role of the extensive senescence-associated 3D genome reorganization, we generated genome-wide chromatin interaction maps, epigenome, replication-timing, whole-genome bisulfite sequencing, and gene expression profiles from cells entering replicative senescence (RS) or upon oncogene-induced senescence (OIS). We identify senescence-associated heterochromatin domains (SAHDs). Differential intra- versus inter-SAHD interactions lead to the formation of senescence-associated heterochromatin foci (SAHFs) in OIS but not in RS. This OIS-specific configuration brings active genes located in genomic regions adjacent to SAHDs in close spatial proximity and favors their expression. We also identify DNMT1 as a factor that induces SAHFs by promoting HMGA2 expression. Upon DNMT1 depletion, OIS cells transition to a 3D genome conformation akin to that of cells in replicative senescence. These data show how multi-omics and imaging can identify critical features of RS and OIS and discover determinants of acute senescence and SAHF formation. ; Work at the M.A.M.-R. lab was supported by the European Research Council under the 7th Framework Program FP7/2007-2013 (ERC grant agreement 609989), the European Union's Horizon 2020 research and innovation programme (grant agreement 676556), the Ministry of Economy and Competitiveness (BFU2017-85926-P), and the Agència de Gestió d'Ajuts Universitaris i de Recerca, AGAUR (SGR468). Work at CRG, BIST, and UPF was in part funded by the Spanish Ministry of Economy and Competitiveness, ''Centro de Excelencia Severo Ochoa 2013-2017'' (SEV-2012-0208), and ''Centro de Excelencia María de Maeztu 2016-2019.'' This article/publication is based upon work from COST Action CA18127, supported by COST (European Cooperation in Science and Technology)
Mètodes computacionals; Genòmica ; Métodos computacionales; Genómica ; Computational Methods; Genomics ; The rapid development of Chromosome Conformation Capture (3C-based techniques), as well as imaging together with bioinformatics analyses, has been fundamental for unveiling that chromosomes are organized into the so-called topologically associating domains or TADs. While TADs appear as nested patterns in the 3C-based interaction matrices, the vast majority of available TAD callers are based on the hypothesis that TADs are individual and unrelated chromatin structures. Here we introduce TADpole, a computational tool designed to identify and analyze the entire hierarchy of TADs in intra-chromosomal interaction matrices. TADpole combines principal component analysis and constrained hierarchical clustering to provide a set of significant hierarchical chromatin levels in a genomic region of interest. TADpole is robust to data resolution, normalization strategy and sequencing depth. Domain borders defined by TADpole are enriched in main architectural proteins (CTCF and cohesin complex subunits) and in the histone mark H3K4me3, while their domain bodies, depending on their activation-state, are enriched in either H3K36me3 or H3K27me3, highlighting that TADpole is able to distinguish functional TAD units. Additionally, we demonstrate that TADpole's hierarchical annotation, together with the new DiffT score, allows for detecting significant topological differences on Capture Hi-C maps between wild-type and genetically engineered mouse. ; European Research Council under the Seventh Framework Program FP7/2007-2013 [609989, in part]; European Union's Horizon 2020 Research and Innovation Programme [676556]; Spanish Ministry of Science and Innovation [BFU2013-47736-P, BFU2017-85926-P to M.A.M-R., IJCI-2015-23352 to I.F., BES-2014-070327 to P.S-V.]; 'Centro de Excelencia Severo Ochoa 2013–2017', SEV-2012-0208; CERCA Programme/Generalitat de Catalunya (to C.R.G.). Funding for open access charge: European Research Council under the Seventh Framework Program FP7/2007-2013 [609989]. We also acknowledge the support of the Spanish Ministry of Science and Innovation to the EMBL partnership, the 'Centro de Excelencia Severo Ochoa 2013-2017', SEV-2012-0208, the CERCA Programme/Generalitat de Catalunya, Spanish Ministry of Science and Innovation through the Instituto de Salud Carlos III, the Generalitat de Catalunya through Departament de Salut and Departament d'Empresa i Coneixement and the Co-financing by the Spanish Ministry of Science and Innovation with funds from the European Regional Development Fund (ERDF) corresponding to the 2014-2020 Smart Growth Operating Program to the CRG.
Chromosome structure is a crucial regulatory factor for a wide range of nuclear processes. Chromosome conformation capture (3C)-based experiments combined with computational modelling are pivotal for unveiling 3D chromosome structure. Here, we introduce TADdyn, a tool that integrates time-course 3C data, restraint-based modelling, and molecular dynamics to simulate the structural rearrangements of genomic loci in a completely data-driven way. We apply TADdyn on in situ Hi-C time-course experiments studying the reprogramming of murine B cells to pluripotent cells, and characterize the structural rearrangements that take place upon changes in the transcriptional state of 21 genomic loci of diverse expression dynamics. By measuring various structural and dynamical properties, we find that during gene activation, the transcription starting site contacts with open and active regions in 3D chromatin domains. We propose that these 3D hubs of open and active chromatin may constitute a general feature to trigger and maintain gene transcription. ; We thank all the current and past members of the Marti-Renom lab for their continuous discussions and support to the development of TADdyn. This work was partially supported by the European Research Council under the 7th Framework Program FP7/2007-2013 (ERC grant agreement 609989 to M.A.M-R. and T.G.), the European Union's Horizon 2020 research and innovation programme (grant agreement 676556 to M.A.M-R.) and the Spanish Ministerio de Ciencia e Innovación (BFU2013-47736-P and BFU2017-85926-P to M.A.M-R. as well as IJCI-2015-23352 to I.F.). R.S. is supported by the Netherlands Organization for Scientific Research (VENI 91617114) and an Erasmus MC Fellowship. We also knowledge support from "Centro de Excelencia Severo Ochoa 2013-2017", SEV-2012-0208 the Spanish ministry of Science and Innovation to the EMBL partnership and the CERCA Programme/Generalitat de Catalunya to the CRG. We also acknowledge support of the Spanish Ministry of Science and Innovation through the Instituto de Salud Carlos III, the Generalitat de Catalunya through Departament de Salut and Departament d'Empresa i Coneixement and the Co-financing by the Spanish Ministry of Science and Innovation with funds from the European Regional Development Fund (ERDF) corresponding to the 2014-2020 Smart Growth Operating Program to CNAG. ; Peer Reviewed ; Postprint (published version)
Chromosome structure is a crucial regulatory factor for a wide range of nuclear processes. Chromosome conformation capture (3C)-based experiments combined with computational modelling are pivotal for unveiling 3D chromosome structure. Here, we introduce TADdyn, a tool that integrates time-course 3C data, restraint-based modelling, and molecular dynamics to simulate the structural rearrangements of genomic loci in a completely data-driven way. We apply TADdyn on in situ Hi-C time-course experiments studying the reprogramming of murine B cells to pluripotent cells, and characterize the structural rearrangements that take place upon changes in the transcriptional state of 21 genomic loci of diverse expression dynamics. By measuring various structural and dynamical properties, we find that during gene activation, the transcription starting site contacts with open and active regions in 3D chromatin domains. We propose that these 3D hubs of open and active chromatin may constitute a general feature to trigger and maintain gene transcription. ; This work was partially supported by the European Research Council under the 7th Framework Program FP7/2007-2013 (ERC grant agreement 609989 to M.A.M-R. and T.G.), the European Union's Horizon 2020 research and innovation programme (grant agreement 676556 to M.A.M-R.) and the Spanish Ministerio de Ciencia e Innovación (BFU2013-47736-P and BFU2017-85926-P to M.A.M-R. as well as IJCI-2015-23352 to I.F.). R.S. is supported by the Netherlands Organization for Scientific Research (VENI 91617114) and an Erasmus MC Fellowship. We also knowledge support from "Centro de Excelencia Severo Ochoa 2013-2017", SEV-2012-0208 the Spanish ministry of Science and Innovation to the EMBL partnership and the CERCA Programme/Generalitat de Catalunya to the CRG. We also acknowledge support of the Spanish Ministry of Science and Innovation through the Instituto de Salud Carlos III, the Generalitat de Catalunya through Departament de Salut and Departament d'Empresa i Coneixement and the Co-financing by the Spanish Ministry of Science and Innovation with funds from the European Regional Development Fund (ERDF) corresponding to the 2014-2020 Smart Growth Operating Program to CNAG
Using Hi-C, promoter-capture Hi-C (pCHi-C), and other genome-wide approaches in skeletal muscle progenitors that inducibly express a master transcription factor, Pax7, we systematically characterize at high-resolution the spatio-temporal re-organization of compartments and promoter-anchored interactions as a consequence of myogenic commitment and differentiation. We identify key promoter-enhancer interaction motifs, namely, cliques and networks, and interactions that are dependent on Pax7 binding. Remarkably, Pax7 binds to a majority of super-enhancers, and together with a cadre of interacting transcription factors, assembles feed-forward regulatory loops. During differentiation, epigenetic memory and persistent looping are maintained at a subset of Pax7 enhancers in the absence of Pax7. We also identify and functionally validate a previously uncharacterized Pax7-bound enhancer hub that regulates the essential myosin heavy chain cluster during skeletal muscle cell differentiation. Our studies lay the groundwork for understanding the role of Pax7 in orchestrating changes in the three-dimensional chromatin conformation in muscle progenitors. ; This work was supported by funding to B.D.D. from the NIH (1R21AR068786-01A1 and 1R01GM122395) and funding to R.C.R.P. from the NIH (1R01AR055299-01A1 and 1R01AR071439-01). The mass spectrometric work is supported in part by NYU Grossman School of Medicine and the Laura and Isaac Perlmutter Cancer Center Support grant P30CA016087 from the National Cancer Institute. B.D.D. would also like to thank the NYU Center for Skeletal and Craniofacial Biology for generously providing a pilot grant. This research was partially funded by the European Union's H2020 Framework Programme through the ERC (grant agreement 609989 to M.A.M-R.). We also acknowledge the support of Spanish Ministerio de Ciencia, Innovación y Universidades through BFU2017-85926-P to M.A.M-R. CRG thanks the support of the Spanish Ministry of Science and Innovation to the EMBL partnership, the 'Centro de Excelencia Severo Ochoa 2013-2017', SEV-2012-0208, the CERCA Programme/Generalitat de Catalunya, Spanish Ministry of Science and Innovation through the Instituto de Salud Carlos III, the Generalitat de Catalunya through Departament de Salut and Departament d'Empresa i Coneixement and the Co-financing by the Spanish Ministry of Science and Innovation with funds from the European Regional Development Fund (ERDF) corresponding to the 2014-2020 Smart Growth Operating Program
Cohesin exists in two variants carrying either STAG/SA1 or SA2. Here we have addressed their specific contributions to the unique spatial organization of the mouse embryonic stem cell genome, which ensures super-enhancer-dependent transcription of pluripotency factors and repression of lineage-specification genes within Polycomb domains. We find that cohesin-SA2 facilitates Polycomb domain compaction through Polycomb repressing complex 1 (PRC1) recruitment and promotes the establishment of long-range interaction networks between distant Polycomb-bound promoters that are important for gene repression. Cohesin-SA1, in contrast, disrupts these networks, while preserving topologically associating domain (TAD) borders. The diverse effects of both complexes on genome topology may reflect two modes of action of cohesin. One, likely involving loop extrusion, establishes overall genome arrangement in TADs together with CTCF and prevents excessive segregation of same-class compartment regions. The other is required for organization of local transcriptional hubs such as Polycomb domains and super-enhancers, which define cell identity. ; This work was funded by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (FEDER) (grant BFU2016-79841-R to A.L.), Comunidad de Madrid (contract PEJD-2016/BMD-3190 to G.M.-S.), Centro de Excelencia Severo Ochoa to CNIO (SEV-2015-0510), and the National Institute of Health Carlos III (ISCIII). The work of Y.C. and M.A.M.-R. was partially supported by the European Research Council (ERC) under the Seventh Framework Programme FP7/2007–2013 (ERC grant agreement 609989) and the European Union's Horizon 2020 research and innovation program (grant agreement 676556). M.A.M.-R. also acknowledges support from the Spanish Ministry of Economy and Competitiveness (BFU2017-85926-P and the Centro de Excelencia Severo Ochoa to Center for Genomic Regulation), and the Generalitat de Catalunya (AGAUR grant SGR468 and CERCA Programme).
Cohesin exists in two variants carrying either STAG/SA1 or SA2. Here we have addressed their specific contributions to the unique spatial organization of the mouse embryonic stem cell genome, which ensures super-enhancer-dependent transcription of pluripotency factors and repression of lineage-specification genes within Polycomb domains. We find that cohesin-SA2 facilitates Polycomb domain compaction through Polycomb repressing complex 1 (PRC1) recruitment and promotes the establishment of long-range interaction networks between distant Polycomb-bound promoters that are important for gene repression. Cohesin-SA1, in contrast, disrupts these networks, while preserving topologically associating domain (TAD) borders. The diverse effects of both complexes on genome topology may reflect two modes of action of cohesin. One, likely involving loop extrusion, establishes overall genome arrangement in TADs together with CTCF and prevents excessive segregation of same-class compartment regions. The other is required for organization of local transcriptional hubs such as Polycomb domains and super-enhancers, which define cell identity. ; We thank Luciano di Croce for providing the Ring1B antibody as well as for comments on the manuscript. We also thank the Genomics and Proteomics Units at CNIO and the 4DG Unit at CRG for technical support. This work wasfunded by the Spanish Ministry of Economy and Competitiveness and the European Regional Development Fund (FEDER) (grant BFU2016-79841-R to A.L.), Comunidad de Madrid (contract PEJD-2016/BMD-3190 to G.M.-S.),Centro de Excelencia Severo Ochoa to CNIO (SEV-2015-0510), and the National Institute of Health Carlos III (ISCIII). The work of Y.C. and M.A.M.-R. was partially supported by the European Research Council (ERC) under the Seventh Framework Programme FP7/2007–2013 (ERC grant agreement 609989) and the European Union's Horizon 2020 research and innovation program (grant agreement 676556). M.A.M.-R. also acknowledges support from the Spanish Ministry of Economy and ...
Cohesin exists in two variants containing STAG1 or STAG2. STAG2 is one of the most mutated genes in cancer and a major bladder tumor suppressor. Little is known about how its inactivation contributes to tumorigenesis. Here, we analyze the genomic distribution of STAG1 and STAG2 and perform STAG2 loss-of-function experiments using RT112 bladder cancer cells; we then analyze the genomic effects by integrating gene expression and chromatin interaction data. Functional compartmentalization exists between the cohesin complexes: cohesin-STAG2 displays a distinctive genomic distribution and mediates short and mid-ranged interactions that engage genes at higher frequency than those established by cohesin-STAG1. STAG2 knockdown results in down-regulation of the luminal urothelial signature and up-regulation of the basal transcriptional program, mirroring differences between STAG2-high and STAG2-low human bladder tumors. This is accompanied by rewiring of DNA contacts within topological domains, while compartments and domain boundaries remain refractive. Contacts lost upon depletion of STAG2 are assortative, preferentially occur within silent chromatin domains, and are associated with de-repression of lineage-specifying genes. Our findings indicate that STAG2 participates in the DNA looping that keeps the basal transcriptional program silent and thus sustains the luminal program. This mechanism may contribute to the tumor suppressor function of STAG2 in the urothelium. ; Fundacion Cientifica de la Asociacion Espanola Contra el Cancer (to F.X.R., E.L., in part); V.P. is supported by INSERM, the Fondation Toulouse Cancer Sante and Pierre Fabre Research Institute as part of the Chair of Bioinformatics in Oncology of the CRCT; Bioinfo4women programme at the Barcelona Supercomputing Center; European Union's H2020 Framework Programme through the ERC [609989 to M.A.M.-R., in part]; Spanish Ministerio de Ciencia, Innovaci ' on y Universidades [BFU2017-85926P to M.A.M.-R.]; C.N.I.O. is supported by Ministerio de Ciencia, ...
Lamins (A/C and B) are major constituents of the nuclear lamina (NL). Structurally conserved lamina-associated domains (LADs) are formed by genomic regions that contact the NL. Lamins are also found in the nucleoplasm, with a yet unknown function. Here we map the genome-wide localization of lamin B1 in an euchromatin-enriched fraction of the mouse genome and follow its dynamics during the epithelial-to-mesenchymal transition (EMT). Lamin B1 associates with actively expressed and open euchromatin regions, forming dynamic euchromatin lamin B1-associated domains (eLADs) of about 0.3 Mb. Hi-C data link eLADs to the 3D organization of the mouse genome during EMT and correlate lamin B1 enrichment at topologically associating domain (TAD) borders with increased border strength. Having reduced levels of lamin B1 alters the EMT transcriptional signature and compromises the acquisition of mesenchymal traits. Thus, during EMT, the process of genome reorganization in mouse involves dynamic changes in eLADs ; This work was supported by grants from the Instituto de Salud Carlos III (ISCIII) FIS/FEDER (PI15/00396; CPII14/0006), Ministerio de Economía y Competitividad (MINECO) (SAF2013-40922-R1; FPU14/0407; BFU2016-75008-P), Agencia Estatal de Investigación (AEI) and Fondo Europeo de Desarrollo Regional-FEDER (SAF2016-76461-R), Generalitat de Catalunya (2014 SGR 32), Fundació FERO, Fundació La Marató TV3, and La Caixa Foundation. We also thank the Advanced Light Microscopy Unit at the CRG for their assistance and the Cellex Foundation for providing research facilities and equipment. M.A.M.-R. acknowledges funding from the European Research Council under the 7th Framework Program (FP7/2010-2015, ERC grant agreement 609989), the European Union's Horizon 2020 research and innovation program (agreement 676556), the Spanish Ministry of Economy and Competitiveness (BFU2013-47736-P), and the Centro de Excelencia Severo Ochoa 2013-2017 (SEV-2012-0208) to the CRG
