{"lab": {"uuid": "c17e88b5-912a-496a-acc7-28dd71215a7d", "@id": "/labs/mitchell-guttman-lab/", "correspondence": [{"contact_email": "bWd1dHRtYW5AY2FsdGVjaC5lZHU=", "@id": "/users/ac3920c8-caa6-444b-be8a-48b52a1dcb3e/", "display_title": "Mitchell Guttman"}], "status": "current", "title": "Mitchell Guttman, CALTECH", "@type": ["Lab", "Item"], "display_title": "Mitchell Guttman, CALTECH", "pi": {"error": "no view permissions"}, "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin", "role.lab_submitter", "submits_for.c17e88b5-912a-496a-acc7-28dd71215a7d"]}}, "award": {"center_title": "NBC - Guttman", "name": "1U01DA040612-01", "description": "NBC: The nucleus of each cell is a complex arrangement of DNA, RNA, and protein that is dynamically organized into various nuclear bodies and compartments that are often arranged around shared functional and regulatory roles. Yet, while many of these nuclear compartments were first identified several decades ago a major challenge with characterizing these compartments is that there are currently no biochemical methods for isolating individual nuclear compartments. Importantly, many nuclear bodies are marked and maintained by nuclear retained long non-coding RNAs (lncRNAs). Here we aim to develop several novel technologies to purify the molecular constituents of nuclear domains and their necessity and sufficiency in forming these compartments. Together these technologies will allow us to systematically address the following questions: Aim 1: What are the optimal biochemical conditions in which to specifically and accurately purify specific nuclear bodies and compartments in order to identify their DNA, RNA and protein components? A critical aspect of biochemical purifications is the fine balance between cross-linking conditions that identify direct molecular interactions while not over-crosslinking that could result in indirect interactions. Usin known nuclear compartments such as the nucleolus, nuclear speckles, and paraspeckles we will optimize RAP for isolating DNA-RNA, RNA-RNA, RNA-protein interactions. We aim to identify universally applicable purification conditions to identify molecular interactions within nuclear and other subcellular structures. Aim 2: What are the DNA, RNA and protein factors involved in nuclear compartments? Although most known nuclear bodies are characterized by lncRNAs the other RNA, DNA and protein factors remain less well defined. Here we will develop technologies to catalog the molecular factors that comprise various nuclear bodies. We will further validate these components through colocalization of these components within a nuclear domain using visualization approaches (e.g. RNA-DNA Co-FISH). Overall we aim to apply new technologies to systematic and comprehensive catalog of RNA, DNA and Proteins in nuclear bodies. Aim 3: Are lncRNAs and proteins necessary and/or sufficient for nuclear compartmentalization? Here we will develop a novel technology platform, termed CRISPR-Display, which allows long RNA cargos to be appended and delivered by CRISPR-Cas9 systems to a desired site in the genome. We will develop this technology to test if lncRNA molecules are sufficient to drive nuclear organization. We will also use CRISPR-Display to multiplex several RNA aptamers that can be used to recruit proteins (with reciprocal protein epitopes that bind RNA aptamers) and test if they are sufficient to form nuclear compartments. In parallel we will perform loss-of- function approaches to identify protein and or RNA components are required for establishing nuclear domains. Collectively our proposal aims to develop powerful and multifaceted technologies to catalog the molecular components of subnuclear structures, validate these interactions and test their biological importance.", "project": "4DN", "display_title": "DECIPHERING THE FUNCTION AND MECHANISMS OF LNCRNA-MEDIATED ORGANIZATION OF NUCLEAR COMPARTMENTS", "status": "current", "@id": "/awards/1U01DA040612-01/", "uuid": "4de1cf81-1ea0-4a19-bc7a-dd3343b34438", "@type": ["Award", "Item"], "pi": {"error": "no view permissions"}, "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}, "badges": [{"badge": {"display_title": "Replicate Numbers", "@id": "/badges/replicate-numbers/", "warning": "Replicate Numbers", "uuid": "24a64a84-3c33-4d76-aaf2-e5ef45eff347", "badge_icon": "/static/img/badges/replicates-orange-circle.svg", "description": "Issues with replicate numbers", "@type": ["Badge", "Item"], "status": "released", "badge_classification": "Warning", "title": "Replicate Numbers", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}, "messages": ["Replicate set contains only a single biological replicate"]}], "status": "released", "aliases": ["mitchell-guttman-lab:sprite-f121-219683"], "accession": "4DNESOJRTZZR", "description": "Replicates of DNA SPRITE on F1 2-1 cells", "date_created": "2018-11-15T18:09:18.435800+00:00", "submitted_by": {"error": "no view permissions"}, "dataset_label": "DNA SPRITE on F121", "last_modified": {"modified_by": {"error": "no view permissions"}, "date_modified": "2020-11-06T23:16:03.265881+00:00"}, "public_release": "2018-12-03", "replicate_exps": [{"bio_rep_no": 1, "tec_rep_no": 1, "replicate_exp": {"display_title": "DNA SPRITE on F1 2-1 mESC line - 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4DNEX8MBT8V1", "@type": ["ExperimentSeq", "Experiment", "Item"], "status": "released", "@id": "/experiments-seq/4DNEX8MBT8V1/", "accession": "4DNEX8MBT8V1", "uuid": "90309112-2860-40ed-8fa2-4d15bb0e4263", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}}, {"bio_rep_no": 1, "tec_rep_no": 5, "replicate_exp": {"display_title": "DNA SPRITE on F1 2-1 mESC line - 4DNEX55H49I2", "@type": ["ExperimentSeq", "Experiment", "Item"], "status": "released", "@id": "/experiments-seq/4DNEX55H49I2/", "accession": "4DNEX55H49I2", "uuid": "9c457253-6299-4367-a0b4-fd9668f40536", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}}, {"bio_rep_no": 1, "tec_rep_no": 6, "replicate_exp": {"display_title": "DNA SPRITE on F1 2-1 mESC line - 4DNEXPVWN4QZ", "@type": ["ExperimentSeq", "Experiment", "Item"], "status": "released", "@id": "/experiments-seq/4DNEXPVWN4QZ/", "accession": "4DNEXPVWN4QZ", "uuid": "36928719-f71f-4a11-9fe2-ab74ede7351b", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}}, {"bio_rep_no": 1, "tec_rep_no": 7, "replicate_exp": {"display_title": "DNA SPRITE on F1 2-1 mESC line - 4DNEXR55E5LM", "@type": ["ExperimentSeq", "Experiment", "Item"], "status": "released", "@id": "/experiments-seq/4DNEXR55E5LM/", "accession": "4DNEXR55E5LM", "uuid": "bd74f910-70c9-43eb-b4be-8525738e1dab", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}}], "schema_version": "2", "static_content": [{"content": {"display_title": "4DNESOJRTZZR - Processed files", "lab": {"uuid": "c17e88b5-912a-496a-acc7-28dd71215a7d", "display_title": "Mitchell Guttman, CALTECH", "@type": ["Lab", "Item"], "@id": "/labs/mitchell-guttman-lab/", "status": "current", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin", "role.lab_submitter", "submits_for.c17e88b5-912a-496a-acc7-28dd71215a7d"]}}, "name": "00ff9fb4-95d8-49cd-b409-89f7fb6555e0", "uuid": "00ff9fb4-95d8-49cd-b409-89f7fb6555e0", "award": {"uuid": "4de1cf81-1ea0-4a19-bc7a-dd3343b34438", "@id": "/awards/1U01DA040612-01/", "status": "current", "display_title": "DECIPHERING THE FUNCTION AND MECHANISMS OF LNCRNA-MEDIATED ORGANIZATION OF NUCLEAR COMPARTMENTS", "@type": ["Award", "Item"], "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}, "status": "released", "@id": "/higlass-view-configs/00ff9fb4-95d8-49cd-b409-89f7fb6555e0/", "title": "4DNESOJRTZZR - Processed files", "description": "4DNESOJRTZZR (Replicates of DNA SPRITE on F1 2-1 cells): 4DNFIQHH2MMH", "contributing_labs": [], "filetype": "HiglassViewConfig", "@type": ["HiglassViewConfig", "UserContent", "Item"], "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin", "role.owner", "userid.7677f8a8-79d2-4cff-ab0a-a967a2a68e39"]}}, "location": "tab:processed-files", "description": "auto_generated_higlass_view_config"}], "static_headers": [{"lab": {"@type": ["Lab", "Item"], "@id": "/labs/4dn-dcic-lab/", "uuid": "828cd4fe-ebb0-4b36-a94a-d2e3a36cc989", "display_title": "4DN DCIC, HMS", "status": "current", "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": {"uuid": "71171a4e-dca1-44cb-8375-fafd896c6923", "status": "current", "@type": ["Award", "Item"], "@id": "/awards/2U01CA200059-06/", "display_title": "4D NUCLEOME NETWORK DATA COORDINATION AND INTEGRATION CENTER - PHASE II", "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>"}], "processed_files": [{"file_size": 3886442571, "uuid": "2feb4204-3694-460f-87d5-a91a04e254d5", "file_type_detailed": "multi-contact read clusters (clusters)", "md5sum": "4ab94bf722b1e527cf70e7b81da43fcc", "@id": "/files-processed/4DNFI8PB35KO/", "href": "/files-processed/4DNFI8PB35KO/@@download/4DNFI8PB35KO.clusters.gz", "status": "released", "genome_assembly": "GRCm38", "accession": "4DNFI8PB35KO", "file_type": "multi-contact read clusters", "file_classification": "processed file", "display_title": "4DNFI8PB35KO.clusters.gz", "open_data_url": "https://4dn-open-data-public.s3.amazonaws.com/fourfront-webprod/wfoutput/2feb4204-3694-460f-87d5-a91a04e254d5/4DNFI8PB35KO.clusters.gz", "@type": ["FileProcessed", "File", "Item"], "file_format": {"display_title": "clusters", "uuid": "e4696bdd-7a8f-44ee-ad69-1502061c5cf1", "@type": ["FileFormat", "Item"], "@id": "/file-formats/clusters/", "status": "released", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}, "upload_key": "2feb4204-3694-460f-87d5-a91a04e254d5/4DNFI8PB35KO.clusters.gz", "lab": {"@type": ["Lab", "Item"], "status": "current", "display_title": "Mitchell Guttman, CALTECH", "uuid": "c17e88b5-912a-496a-acc7-28dd71215a7d", "name": "mitchell-guttman-lab", "@id": "/labs/mitchell-guttman-lab/", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin", "role.lab_submitter", "submits_for.c17e88b5-912a-496a-acc7-28dd71215a7d"]}}, "external_references": [], "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}, "last_modified": {"date_modified": "2020-02-14T18:07:35.298120+00:00"}, "track_and_facet_info": {"dataset": "DNA SPRITE on F121", "experimental_lab": "Mitchell Guttman, CALTECH", "replicate_info": "merged replicates", "experiment_bucket": "processed file", "experiment_type": "DNA SPRITE", "biosource_name": "F1 2-1 mESC line", "lab_name": "Mitchell Guttman, CALTECH"}}, {"file_size": 39890690415, "uuid": "84d4755b-6ec2-4c13-bcab-72f3f4a98fba", "file_type_detailed": "contact matrix (mcool)", "md5sum": "b70831e9130f5b860f2dff0c1ba106f8", "@id": "/files-processed/4DNFIQHH2MMH/", "href": "/files-processed/4DNFIQHH2MMH/@@download/4DNFIQHH2MMH.mcool", "status": "released", "genome_assembly": "GRCm38", "higlass_uid": "M1uQBl90QJ6F6fLoIOuw-w", "accession": "4DNFIQHH2MMH", "notes_to_tsv": ["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", "file_classification": "processed file", "display_title": "4DNFIQHH2MMH.mcool", "open_data_url": "https://4dn-open-data-public.s3.amazonaws.com/fourfront-webprod/wfoutput/84d4755b-6ec2-4c13-bcab-72f3f4a98fba/4DNFIQHH2MMH.mcool", "@type": ["FileProcessed", "File", "Item"], "file_format": {"display_title": "mcool", "uuid": "d13d06cf-218e-4f61-ccf0-91f226248b2c", "@type": ["FileFormat", "Item"], "@id": "/file-formats/mcool/", "status": "released", "principals_allowed": {"view": ["system.Everyone"], "edit": ["group.admin"]}}, "upload_key": "84d4755b-6ec2-4c13-bcab-72f3f4a98fba/4DNFIQHH2MMH.mcool", "quality_metric": {"uuid": "7500bf3a-f00e-40ee-be18-ccf5fd340b7f", "overall_quality_status": "PASS", "status": "released", "display_title": "QualityMetricMcool from 2021-05-21", "@id": "/quality-metrics-mcool/7500bf3a-f00e-40ee-be18-ccf5fd340b7f/", 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