SPIN reveals genome-wide landscape of nuclear compartmentalization

Chromosomes segregate differentially relative to distinct subnuclear structures, but this genome-wide compartmentalization, pivotal for modulating genome function, remains poorly understood. New genomic mapping methods can reveal chromosome positioning relative to specific nuclear structures. However, computational methods that integrate their results to identify overall intranuclear chromo-some positioning have not yet been developed. We report SPIN, a new method to identify genome-wide nuclear spatial localization patterns. As a proof-of-principle, we use SPIN to integrate nuclear compartment mapping (TSA-seq and DamID) and chromatin interaction data (Hi-C) from K562 cells to identify 10 spatial compartmentalization states genome-wide relative to nuclear speckles, lamina, and nucleoli. These SPIN states show novel patterns of genome spatial organization and their relation to genome function (transcription and replication timing). Comparisons of SPIN states with Hi-C sub-compartments and lamina-associated domains (LADs) from multiple cell types suggest constitutive compartmentalization patterns. By integrating different readouts of higher-order genome organization, SPIN provides critical insights into nuclear spatial and functional compartmentalization.

[1]  Jun Zhang The mean field theory in EM procedures for Markov random fields , 1992, IEEE Trans. Signal Process..

[2]  Michael I. Jordan,et al.  Loopy Belief Propagation for Approximate Inference: An Empirical Study , 1999, UAI.

[3]  M. McQueen,et al.  The Meaning of the Gene , 2000, Heredity.

[4]  Stephen M. Smith,et al.  Segmentation of brain MR images through a hidden Markov random field model and the expectation-maximization algorithm , 2001, IEEE Transactions on Medical Imaging.

[5]  Gilles Celeux,et al.  EM procedures using mean field-like approximations for Markov model-based image segmentation , 2003, Pattern Recognit..

[6]  D. Spector,et al.  SnapShot: Cellular Bodies , 2006, Cell.

[7]  Exosome Exposé In This Issue , 2006, Cell.

[8]  Clifford A. Meyer,et al.  Model-based Analysis of ChIP-Seq (MACS) , 2008, Genome Biology.

[9]  L. Wessels,et al.  Domain organization of human chromosomes revealed by mapping of nuclear lamina interactions , 2008, Nature.

[10]  Tom Misteli,et al.  The Meaning of Gene Positioning , 2008, Cell.

[11]  David L. Spector,et al.  Chromatin Dynamics and Gene Positioning , 2008, Cell.

[12]  I. Amit,et al.  Comprehensive mapping of long range interactions reveals folding principles of the human genome , 2011 .

[13]  Gonçalo R. Abecasis,et al.  The Sequence Alignment/Map format and SAMtools , 2009, Bioinform..

[14]  W. Sung,et al.  ChIA-PET tool for comprehensive chromatin interaction analysis with paired-end tag sequencing , 2010, Genome Biology.

[15]  Nir Friedman,et al.  Probabilistic Graphical Models - Principles and Techniques , 2009 .

[16]  Michelle S. Scott,et al.  Characterization and prediction of protein nucleolar localization sequences , 2010, Nucleic acids research.

[17]  Tom Misteli,et al.  Biogenesis of nuclear bodies. , 2010, Cold Spring Harbor perspectives in biology.

[18]  Gaël Varoquaux,et al.  Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..

[19]  Data production leads,et al.  An integrated encyclopedia of DNA elements in the human genome , 2012 .

[20]  J. Sedat,et al.  Spatial partitioning of the regulatory landscape of the X-inactivation centre , 2012, Nature.

[21]  ENCODEConsortium,et al.  An Integrated Encyclopedia of DNA Elements in the Human Genome , 2012, Nature.

[22]  Jesse R. Dixon,et al.  Topological Domains in Mammalian Genomes Identified by Analysis of Chromatin Interactions , 2012, Nature.

[23]  Jean-Marie Rouillard,et al.  Versatile design and synthesis platform for visualizing genomes with Oligopaint FISH probes , 2012, Proceedings of the National Academy of Sciences.

[24]  L. Mirny,et al.  Exploring the three-dimensional organization of genomes: interpreting chromatin interaction data , 2013, Nature Reviews Genetics.

[25]  Manolis Kellis,et al.  Constitutive nuclear lamina–genome interactions are highly conserved and associated with A/T-rich sequence , 2013, Genome research.

[26]  Tiziana Bonaldi,et al.  Polycomb-dependent H3K27me1 and H3K27me2 regulate active transcription and enhancer fidelity. , 2014, Molecular cell.

[27]  A. Belmont,et al.  HSP70 Transgene Directed Motion to Nuclear Speckles Facilitates Heat Shock Activation , 2014, Current Biology.

[28]  Neva C. Durand,et al.  A 3D Map of the Human Genome at Kilobase Resolution Reveals Principles of Chromatin Looping , 2014, Cell.

[29]  Noam Kaplan,et al.  The Hitchhiker's guide to Hi-C analysis: practical guidelines. , 2015, Methods.

[30]  William Stafford Noble,et al.  Joint annotation of chromatin state and chromatin conformation reveals relationships among domain types and identifies domains of cell-type-specific expression , 2014, bioRxiv.

[31]  William Stafford Noble,et al.  Topologically associating domains and their long-range contacts are established during early G1 coincident with the establishment of the replication-timing program , 2015, Genome research.

[32]  Xiaobin Zheng,et al.  Identification of lamin B–regulated chromatin regions based on chromatin landscapes , 2015, Molecular biology of the cell.

[33]  Neva C. Durand,et al.  Juicer Provides a One-Click System for Analyzing Loop-Resolution Hi-C Experiments. , 2016, Cell systems.

[34]  Giacomo Cavalli,et al.  Organization and function of the 3D genome , 2016, Nature Reviews Genetics.

[35]  R. Sterken The meaning of generics , 2017 .

[36]  Nils Blüthgen,et al.  Reciprocal insulation analysis of Hi-C data shows that TADs represent a functionally but not structurally privileged scale in the hierarchical folding of chromosomes , 2017, Genome research.

[37]  Victor O. Leshyk,et al.  The 4D nucleome project , 2017, Nature.

[38]  Manolis Kellis,et al.  Multi-scale chromatin state annotation using a hierarchical hidden Markov model , 2017, Nature Communications.

[39]  T. Ohshima,et al.  Stimulated emission from nitrogen-vacancy centres in diamond , 2016, Nature Communications.

[40]  S. Q. Xie,et al.  Complex multi-enhancer contacts captured by Genome Architecture Mapping (GAM) , 2017, Nature.

[41]  Bas van Steensel,et al.  Lamina-Associated Domains: Links with Chromosome Architecture, Heterochromatin, and Gene Repression , 2017, Cell.

[42]  Nicholas A. Sinnott-Armstrong,et al.  Super-resolution chromatin tracing reveals domains and cooperative interactions in single cells , 2018, Science.

[43]  Quanquan Gu,et al.  Continuous-trait probabilistic model for comparing multi-species functional genomic data , 2018, bioRxiv.

[44]  L. Mirny,et al.  Chromatin organization by an interplay of loop extrusion and compartmental segregation , 2017, Proceedings of the National Academy of Sciences.

[45]  James Taylor,et al.  Lamins organize the global three-dimensional genome from the nuclear periphery , 2017, bioRxiv.

[46]  Nan Hua,et al.  Producing genome structure populations with the dynamic and automated PGS software , 2018, Nature Protocols.

[47]  B. Tabak,et al.  Higher-Order Inter-chromosomal Hubs Shape 3D Genome Organization in the Nucleus , 2018, Cell.

[48]  B. van Steensel,et al.  Promoter-intrinsic and local chromatin features determine gene repression in lamina-associated domains , 2018, bioRxiv.

[49]  Daniel L. Vera,et al.  Genome-wide analysis of replication timing by next-generation sequencing with E/L Repli-seq , 2018, Nature Protocols.

[50]  Steven P. Callahan,et al.  Walking along chromosomes with super-resolution imaging, contact maps, and integrative modeling , 2018, bioRxiv.

[51]  Jian Ma,et al.  Mapping 3D genome organization relative to nuclear compartments using TSA-Seq as a cytological ruler , 2018, The Journal of cell biology.

[52]  Z. Weng,et al.  Compartment-dependent chromatin interaction dynamics revealed by liquid chromatin Hi-C , 2019, bioRxiv.

[53]  L. Zhu,et al.  Two contrasting classes of nucleolus-associated domains in mouse fibroblast heterochromatin , 2019, Genome research.

[54]  Kyle Xiong,et al.  Revealing Hi-C subcompartments by imputing inter-chromosomal chromatin interactions , 2019, Nature Communications.

[55]  B. van Steensel,et al.  Promoter-Intrinsic and Local Chromatin Features Determine Gene Repression in LADs , 2019, Cell.

[56]  Daniel Capurso,et al.  Multiplex chromatin interactions with single-molecule precision , 2019, Nature.

[57]  L. Mirny,et al.  Heterochromatin drives compartmentalization of inverted and conventional nuclei , 2019, Nature.

[58]  A. Pombo,et al.  Methods for mapping 3D chromosome architecture , 2019, Nature Reviews Genetics.

[59]  T. Misteli,et al.  Extensive Heterogeneity and Intrinsic Variation in Spatial Genome Organization , 2019, Cell.

[60]  Xiaopeng Zhu,et al.  MOCHI enables discovery of heterogeneous interactome modules in 3D nucleome. , 2020, Genome research.