{"lab": {"@id": "/labs/tomoko-yamada-lab/", "title": "Tomoko Yamada, NW", "display_title": "Tomoko Yamada, NW", "uuid": "4e87e04c-6a49-4a71-8240-5fdae2f04b24", "correspondence": [{"contact_email": "dG9tb2tvLnlhbWFkYUBub3J0aHdlc3Rlcm4uZWR1", "@id": "/users/3b5a8696-b152-4a12-bcf1-69186d6bb510/", "display_title": "Tomoko Yamada"}], "status": "current", "@type": ["Lab", "Item"], "pi": {"error": "no view permissions"}, "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin", "role.lab_submitter", "submits_for.4e87e04c-6a49-4a71-8240-5fdae2f04b24"]}}, "award": {"description": "NI-OFHHD: The long-term goals of the proposed research are to elucidate mechanisms of three-dimensional genome architecture in the control of neuronal connectivity in the brain. It has recently been found that physiological stimuli including sensory experience or developmental signals remodel neuronal genome architecture in vivo. Strikingly, it's found that long-distance genome interactions massively increase in the developing cerebellum in mice. The discovery of these long-distance interactions formed between genes critical for neuronal differentiation unveils novel nuclear mechanisms by which genome architecture may play a role in the wiring of the brain. These findings raise fundamental questions on the mechanisms and biological functions of these interactions in the brain, which will be addressed in this grant. First, the organizing principles of long-distance genome interactions in the brain will be elucidated. Based on the in vivo findings, the hypothesis that long-distance genomic interactions are organized by specific epigenetic and transcriptional features will be tested. In addition, the study will also test the hypothesis that anchors of long-distance interactions assemble into higher-ordered subnuclear structures including nuclear speckles or Mediator condensates, which function as transcriptionally active hubs. Second, the projcet will define mechanisms by which long-distance interactions are formed in development. The BAF chromatin remodeling complex alters the genome environment to activate or repress transcription and is required for brain development in mice and humans, and its dysregulation results in human neurodevelopmental disorders, including Coffin\u2013Siris syndrome and autism. Based on our preliminary findings, the hypothesis that the BAF complex transiently inhibits formation of long-distance genome interactions in immature neurons of the developing brain will be tested. Following early development, the inhibition of the long-distance interactions might be relieved by the recruitment of specific sets of transcription factors that drive terminal neuron differentiation. This project will test the hypothesis that these transcription regulators, identified using DNA motif analyses, promote the formation of the long-distance genome interactions. Finally, this study will also test the hypothesis that the formation of long-distance genome interactions is necessary for the maturation of neurons in vivo, including making proper connections with their pre- and post-synaptic partners. The proposed research is significant as it will advance our understanding of the mechanisms regulating genome architecture to control neuronal differentiation in mammalian brain. Furthermore, these studies will provide an integrated view on how genome folding in the nucleus orchestrates the assembly of neural circuits underlying behavior.", "name": "1U01DA053691-01", "@id": "/awards/1U01DA053691-01/", "project": "4DN", "status": "current", "uuid": "cf1cc388-e816-4061-b354-61bc4f8a23f8", "center_title": "Yamada", "@type": ["Award", "Item"], "display_title": "MECHANISMS OF GENOME ORGANIZATION IN BRAIN DEVELOPMENT AND BEHAVIOR", "pi": {"error": "no view permissions"}, "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}, "status": "released", "aliases": ["yamada-lab:sprite-mouse-cerebellum-pnd22"], "accession": "4DNES48PQH94", "condition": "PND 22", "description": "DNA-SPRITE on cerebellum from C57BL/6 mouse postnatal day 22", "date_created": "2022-04-25T17:01:56.229690+00:00", "submitted_by": {"error": "no view permissions"}, "dataset_label": "SPRITE on mouse cerebellar tissue", "last_modified": {"modified_by": {"error": "no view permissions"}, "date_modified": "2024-03-21T15:01:23.560086+00:00"}, "public_release": "2024-03-07", "replicate_exps": [{"bio_rep_no": 1, "tec_rep_no": 1, "replicate_exp": {"@id": "/experiments-seq/4DNEX2BYUC69/", "status": "released", "@type": ["ExperimentSeq", "Experiment", "Item"], "accession": "4DNEX2BYUC69", "uuid": "9556bcc3-f596-45e8-8480-42c653c7e144", "display_title": "DNA SPRITE on cerebellum - PND 22 - 4DNEX2BYUC69", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}}, {"bio_rep_no": 2, "tec_rep_no": 1, "replicate_exp": {"@id": "/experiments-seq/4DNEXX6365D9/", "status": "released", "@type": ["ExperimentSeq", "Experiment", "Item"], "accession": "4DNEXX6365D9", "uuid": "81f2ef1c-8820-4383-b537-2e07b29fe1ad", "display_title": "DNA SPRITE on cerebellum - PND 22 - 4DNEXX6365D9", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}}], "schema_version": "2", "static_headers": [{"lab": {"status": "current", "display_title": "4DN DCIC, HMS", "uuid": "828cd4fe-ebb0-4b36-a94a-d2e3a36cc989", "@id": "/labs/4dn-dcic-lab/", "@type": ["Lab", "Item"], "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin", "role.lab_submitter", "submits_for.828cd4fe-ebb0-4b36-a94a-d2e3a36cc989"]}}, "body": "<b> SPRITE </b>\n<p>\nSPRITE is a method to detect and quantify genome-wide higher-order interactions that occur simultaneously within the same nucleus. It was first published in 2018, and it aims to address certain limitations of proximity ligation and imaging methods. Compared to proximity ligation methods, this technique does not depend on the ligation of spatially close DNA fragments; therefore, it can detect interactions occurring across larger distances in the genome. Additionally, unlike both methods that can only capture simultaneous interactions between a small number of genomic regions (2-3), this technique is able to capture simultaneous interactions between a larger number of genomic regions.\n</p>\n<p>\nThe protocol involves cross-linking the cells to form links between physically adjacent DNA regions and other interacting molecules such as RNA and proteins. Then, the cells are lysed, and a restriction enzyme is used to digest the chromatin into multiple fragments. The cross-linked complexes are coupled to magnetic beads. A split-pool tagging strategy is performed that consists of splitting the cross-linked complexes across a 96 well plate, and ligating a tag sequence unique to each well to each molecule. The wells are then pooled and this process is repeated several times. The molecules located in the same complex will stick together throughout the entire split-pool process, resulting in them having the same barcode combination at the end, while the molecules located in other complexes will have their own distinct barcode combinations. The molecules are sequenced, and all the reads containing the same unique barcode combination are grouped together into a cluster. Initial processing results in the generation of a clusters file where each cluster occupies one line that includes the barcode name and genomic alignments of that cluster. This can be used for additional analysis and to create visualizations.\n\nSee <a href=\"https://www.sciencedirect.com/science/article/pii/S0092867418306366?via%3Dihub\">Quinodoz et. al. Cell 2018</a> for more details.\n</p>\n\n<div>\n<a href=\"https://4dn-dcic-public.s3.amazonaws.com/static-pages/SPRITE_Graphic_4DN_V2.png\" target=\"_blank\">\n<img style=\"width: 100%; margin-top: 10px;\" src=\"https://4dn-dcic-public.s3.amazonaws.com/static-pages/SPRITE_Graphic_4DN_V2.png\" />\n</a>\n</div>", "name": "item-page-headers.ExperimentType.sprite2", "award": {"status": "current", "display_title": "4D NUCLEOME NETWORK DATA COORDINATION AND INTEGRATION CENTER - PHASE II", "@id": "/awards/2U01CA200059-06/", "uuid": "71171a4e-dca1-44cb-8375-fafd896c6923", "@type": ["Award", "Item"], "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}, "title": "Assay Description", "status": "released", "aliases": ["4dn-dcic-lab:experiment_infobox_sprite2"], "options": {"filetype": "html", "collapsible": false, "default_open": false, "convert_ext_links": true}, "date_created": "2018-09-07T18:11:26.462389+00:00", "section_type": "Item Page Header", "submitted_by": {"error": "no view permissions"}, "last_modified": {"modified_by": {"error": "no view permissions"}, "date_modified": "2023-11-10T22:32:19.954193+00:00"}, "schema_version": "2", "@id": "/static-sections/205f35ec-92cd-4c02-bd35-b0d38dd72a90/", "@type": ["StaticSection", "UserContent", "Item"], "uuid": "205f35ec-92cd-4c02-bd35-b0d38dd72a90", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin", "role.owner", "userid.56c9c683-bb11-471b-b590-c656f7dc03c1"]}, "display_title": "Assay Description", "external_references": [], "content": "<b> SPRITE </b>\n<p>\nSPRITE is a method to detect and quantify genome-wide higher-order interactions that occur simultaneously within the same nucleus. It was first published in 2018, and it aims to address certain limitations of proximity ligation and imaging methods. Compared to proximity ligation methods, this technique does not depend on the ligation of spatially close DNA fragments; therefore, it can detect interactions occurring across larger distances in the genome. Additionally, unlike both methods that can only capture simultaneous interactions between a small number of genomic regions (2-3), this technique is able to capture simultaneous interactions between a larger number of genomic regions.\n</p>\n<p>\nThe protocol involves cross-linking the cells to form links between physically adjacent DNA regions and other interacting molecules such as RNA and proteins. Then, the cells are lysed, and a restriction enzyme is used to digest the chromatin into multiple fragments. The cross-linked complexes are coupled to magnetic beads. A split-pool tagging strategy is performed that consists of splitting the cross-linked complexes across a 96 well plate, and ligating a tag sequence unique to each well to each molecule. The wells are then pooled and this process is repeated several times. The molecules located in the same complex will stick together throughout the entire split-pool process, resulting in them having the same barcode combination at the end, while the molecules located in other complexes will have their own distinct barcode combinations. The molecules are sequenced, and all the reads containing the same unique barcode combination are grouped together into a cluster. Initial processing results in the generation of a clusters file where each cluster occupies one line that includes the barcode name and genomic alignments of that cluster. This can be used for additional analysis and to create visualizations.\n\nSee <a href=\"https://www.sciencedirect.com/science/article/pii/S0092867418306366?via%3Dihub\">Quinodoz et. al. Cell 2018</a> for more details.\n</p>\n\n<div>\n<a href=\"https://4dn-dcic-public.s3.amazonaws.com/static-pages/SPRITE_Graphic_4DN_V2.png\" target=\"_blank\">\n<img style=\"width: 100%; margin-top: 10px;\" src=\"https://4dn-dcic-public.s3.amazonaws.com/static-pages/SPRITE_Graphic_4DN_V2.png\" />\n</a>\n</div>", "filetype": "html", "content_as_html": "<div class=\"html-container\"><b> SPRITE </b>\n<p>\nSPRITE is a method to detect and quantify genome-wide higher-order interactions that occur simultaneously within the same nucleus. It was first published in 2018, and it aims to address certain limitations of proximity ligation and imaging methods. Compared to proximity ligation methods, this technique does not depend on the ligation of spatially close DNA fragments; therefore, it can detect interactions occurring across larger distances in the genome. Additionally, unlike both methods that can only capture simultaneous interactions between a small number of genomic regions (2-3), this technique is able to capture simultaneous interactions between a larger number of genomic regions.\n</p>\n<p>\nThe protocol involves cross-linking the cells to form links between physically adjacent DNA regions and other interacting molecules such as RNA and proteins. Then, the cells are lysed, and a restriction enzyme is used to digest the chromatin into multiple fragments. The cross-linked complexes are coupled to magnetic beads. A split-pool tagging strategy is performed that consists of splitting the cross-linked complexes across a 96 well plate, and ligating a tag sequence unique to each well to each molecule. The wells are then pooled and this process is repeated several times. The molecules located in the same complex will stick together throughout the entire split-pool process, resulting in them having the same barcode combination at the end, while the molecules located in other complexes will have their own distinct barcode combinations. The molecules are sequenced, and all the reads containing the same unique barcode combination are grouped together into a cluster. Initial processing results in the generation of a clusters file where each cluster occupies one line that includes the barcode name and genomic alignments of that cluster. This can be used for additional analysis and to create visualizations.\n\nSee <a href=\"https://www.sciencedirect.com/science/article/pii/S0092867418306366?via%3Dihub\" rel=\"noopener noreferrer\" target=\"_blank\">Quinodoz et. al. Cell 2018</a> for more details.\n</p>\n<div>\n<a href=\"https://4dn-dcic-public.s3.amazonaws.com/static-pages/SPRITE_Graphic_4DN_V2.png\" rel=\"noopener noreferrer\" target=\"_blank\">\n<img src=\"https://4dn-dcic-public.s3.amazonaws.com/static-pages/SPRITE_Graphic_4DN_V2.png\" style=\"width: 100%; margin-top: 10px;\"/>\n</a>\n</div></div>"}], "project_release": "2022-06-10", "experiments_in_set": [{"files": [{"file_type": "reads", "md5sum": "6106946626f6392dcb01bfa036e003e9", "display_title": "4DNFITWSFEQ8.fastq.gz", "paired_end": "1", "accession": "4DNFITWSFEQ8", "upload_key": "801a3676-d2aa-450a-8562-5639b4fced40/4DNFITWSFEQ8.fastq.gz", "href": "/files-fastq/4DNFITWSFEQ8/@@download/4DNFITWSFEQ8.fastq.gz", "uuid": "801a3676-d2aa-450a-8562-5639b4fced40", "file_classification": "raw file", "open_data_url": "https://4dn-open-data-public.s3.amazonaws.com/fourfront-webprod/files/801a3676-d2aa-450a-8562-5639b4fced40/4DNFITWSFEQ8.fastq.gz", "file_type_detailed": "reads (fastq)", "@type": ["FileFastq", "File", "Item"], "status": "released", "file_size": 36257475430, "@id": "/files-fastq/4DNFITWSFEQ8/", "related_files": [{"relationship_type": "paired with", "file": {"status": "released", "file_type": "reads", "accession": "4DNFI3GIT5I4", "paired_end": "2", "file_type_detailed": "reads (fastq)", "@type": ["FileFastq", "File", "Item"], "uuid": "4ac3ba82-4079-4f1e-ba60-e606c124951b", "@id": "/files-fastq/4DNFI3GIT5I4/", "display_title": "4DNFI3GIT5I4.fastq.gz", "file_format": {"@id": "/file-formats/fastq/", "@type": ["FileFormat", "Item"], "display_title": "fastq", "uuid": "c13d06cf-218e-4f61-aaf0-91f226248b2c", "file_format": "fastq", "status": "released", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}, "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}}], "quality_metric": {"@type": ["QualityMetricFastqc", "QualityMetric", "Item"], "overall_quality_status": "PASS", "Total Sequences": 456620940, "display_title": "QualityMetricFastqc from 2022-04-25", "url": "https://s3.amazonaws.com/elasticbeanstalk-fourfront-webprod-wfoutput/4DNFITWSFEQ8/fastqc_report.html", "@id": "/quality-metrics-fastqc/0312c77e-9c68-4b7a-8e62-731c88eee91c/", "Sequence length": "151", "uuid": "0312c77e-9c68-4b7a-8e62-731c88eee91c", "status": "released", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}, "lab": {"status": "current", "name": "tomoko-yamada-lab", "@id": "/labs/tomoko-yamada-lab/", "display_title": "Tomoko Yamada, NW", "@type": ["Lab", "Item"], "uuid": "4e87e04c-6a49-4a71-8240-5fdae2f04b24", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin", "role.lab_submitter", "submits_for.4e87e04c-6a49-4a71-8240-5fdae2f04b24"]}}, "file_format": {"display_title": "fastq", "@type": ["FileFormat", "Item"], "@id": "/file-formats/fastq/", "status": "released", "file_format": "fastq", "uuid": "c13d06cf-218e-4f61-aaf0-91f226248b2c", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}, "external_references": [], "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}, "track_and_facet_info": {"experimental_lab": "Tomoko Yamada, NW", "experiment_type": "DNA SPRITE", "experiment_bucket": "raw file", "dataset": "SPRITE on mouse cerebellar tissue", "condition": "PND 22", "replicate_info": "Biorep 1, Techrep 1", "biosource_name": "cerebellum - 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The mcool matrix file was generated at the 4DN-DCIC using cooler version 0.8.11, scripts based on this gist: https://gist.github.com/nvictus/aacf3530b95251e1a0945a7e36fa28ac and the zoomify function.", "files": [{"open_data_url": "https://4dn-open-data-public.s3.amazonaws.com/fourfront-webprod/wfoutput/caefb0ca-59a2-4bc4-b142-ce61965c0bbc/4DNFI3O8MVGX.mcool", "higlass_uid": "21fe2bf2-410a-4d19-8194-8b5be70267f4", "notes_to_tsv": ["This mcool matrix file was generated from the file 4DNFIZERUF7M containing clusters of sizes from 2-1000 generated by the Yamada lab by the 4DN-DCIC using cooler version 0.8.11 scripts based on this gist: https://gist.github.com/nvictus/aacf3530b95251e1a0945a7e36fa28ac and the zoomify function", "This file contains processed results performed outside of the 4DN-DCIC standardized pipelines. The file and the information about its provenance, i.e. which files were used as input to generate this output was provided by or done in collaboration with the lab that did the experiments to generate the raw data. For more information about the specific analysis performed, please contact the submitting lab or refer to the relevant publication if available.", "WARNING - Due to a bug in the version of cooler (0.8.3) used in the current 4DN standard Hi-C processing pipeline some pixels may occur mulitple times at a single resolution with different counts being reported for each occurence.  This duplication does not affect the higlass display of these files, howevver, downstream analyses using this file may encounter issues due to this pixel duplication.  The counts from the duplicate pixels can be aggregated to determine the correct count value at that location. If this issue is problematic for your needs you should consider regenerating the matrices from the merged pairs file of the associated dataset using a more recent version of cooler.  We are working to update the pipeline but do not yet have a predicted date for when this issue will be resolved."], "file_type": "contact matrix", "md5sum": "fbb2f871237eb2b3dd600d747f819fc9", "accession": "4DNFI3O8MVGX", "status": "released", "genome_assembly": "GRCm38", "@type": ["FileProcessed", "File", "Item"], "file_type_detailed": "contact matrix (mcool)", "href": "/files-processed/4DNFI3O8MVGX/@@download/4DNFI3O8MVGX.mcool", "file_size": 11663440232, "@id": "/files-processed/4DNFI3O8MVGX/", "display_title": "4DNFI3O8MVGX.mcool", "uuid": "caefb0ca-59a2-4bc4-b142-ce61965c0bbc", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}, "file_format": {"display_title": "mcool", "status": "released", "@id": "/file-formats/mcool/", "uuid": "d13d06cf-218e-4f61-ccf0-91f226248b2c", "@type": ["FileFormat", "Item"], "file_format": "mcool", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}, "quality_metric": {"display_title": "QualityMetricMcool from 2022-06-01", "@type": ["QualityMetricMcool", "QualityMetric", "Item"], "status": "released", "overall_quality_status": "PASS", "@id": "/quality-metrics-mcool/0b9911e2-6c19-4a09-a3ad-6f0821e77b2f/", "uuid": "0b9911e2-6c19-4a09-a3ad-6f0821e77b2f", "quality_metric_summary": [{"title": "Failed Balancing", "value": "None", "tooltip": "Resolutions where balancing failed", "numberType": "string"}], "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}, "lab": {"name": "4dn-dcic-lab", "@type": ["Lab", "Item"], "status": "current", "uuid": "828cd4fe-ebb0-4b36-a94a-d2e3a36cc989", "display_title": "4DN DCIC, HMS", "@id": "/labs/4dn-dcic-lab/", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin", "role.lab_submitter", "submits_for.828cd4fe-ebb0-4b36-a94a-d2e3a36cc989"]}}, "static_content": [{"location": "tab:higlass", "description": "auto_generated_higlass_view_config", "content": {"status": "released", "@id": "/higlass-view-configs/98eca7a6-3078-47e8-8008-3629bce65736/", "display_title": "4DNFI3O8MVGX - 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Beyond local  genomic interactions between promoters and enhancers, we find that cerebellar  granule neurons undergoing differentiation in vivo exhibit striking increases in  long-distance genomic interactions between transcriptionally active genomic loci,  which are separated by tens of megabases within a chromosome or located on  different chromosomes. Among these interactions, we identify a nuclear  subcompartment enriched for near-megabase long enhancers and their associated  neuronal long genes encoding synaptic or signaling proteins. Neuronal long genes  are differentially recruited to this enhancer-dense subcompartment to help shape  the transcriptional identities of granule neuron subtypes in the cerebellum.  SPRITE analyses of higher-order genomic interactions, together with IGM-based 3D  genome modeling and imaging approaches, reveal that the enhancer-dense  subcompartment forms prominent nuclear structures, which we term mega-enhancer  bodies. These novel nuclear bodies reside in the nuclear periphery, away from  other transcriptionally active structures, including nuclear speckles located in  the nuclear interior. Together, our findings define additional layers of  higher-order 3D genome organization closely linked to neuronal maturation and  identity in the brain.", "ID": "doi:10.1101/2023.07.19.549737", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}, "pubs_using": [], "publications_of_set": [{"journal": "bioRxiv : the preprint server for biology", "ID": "doi:10.1101/2023.07.19.549737", "status": "current", "abstract": "Dynamic regulation of gene expression plays a key role in establishing the  diverse neuronal cell types in the brain. Recent findings in genome biology  suggest that three-dimensional (3D) genome organization has important, but  mechanistically poorly understood functions in gene transcription. Beyond local  genomic interactions between promoters and enhancers, we find that cerebellar  granule neurons undergoing differentiation in vivo exhibit striking increases in  long-distance genomic interactions between transcriptionally active genomic loci,  which are separated by tens of megabases within a chromosome or located on  different chromosomes. Among these interactions, we identify a nuclear  subcompartment enriched for near-megabase long enhancers and their associated  neuronal long genes encoding synaptic or signaling proteins. Neuronal long genes  are differentially recruited to this enhancer-dense subcompartment to help shape  the transcriptional identities of granule neuron subtypes in the cerebellum.  SPRITE analyses of higher-order genomic interactions, together with IGM-based 3D  genome modeling and imaging approaches, reveal that the enhancer-dense  subcompartment forms prominent nuclear structures, which we term mega-enhancer  bodies. 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