Ontology type: schema:Chapter
2019
AUTHORSNeeraj Kumar , Arnab Mukhopadhyay
ABSTRACTChromatin immunoprecipitation (ChIP) coupled to quantitative real-time PCR (ChIP-qPCR) or Next-Generation Sequencing (ChIP-seq) enables us to study the dynamics of chromatin recruitment of transcription factors (TFs). The popular model system Caenorhabditis elegans has provided us with fundamental understanding of the role of Insulin/IGF-1-like signaling (IIS) in metabolism and aging. The FOXO TF DAF-16 is the major output of the pathway that regulates most of the phenotypes associated with the IIS pathway. Here, we describe a ChIP protocol to study FOXO recruitment dynamics in whole C. elegans extracts. We discuss detailed practical procedures, including optimization, growth, harvesting, formaldehyde fixation, sonication of worms, TF immunoprecipitation for further downstream processing using qPCR as well as NGS for the analysis of FOXO-bound DNA. More... »
PAGES115-130
FOXO Transcription Factors
ISBN
978-1-4939-8899-0
978-1-4939-8900-3
http://scigraph.springernature.com/pub.10.1007/978-1-4939-8900-3_10
DOIhttp://dx.doi.org/10.1007/978-1-4939-8900-3_10
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1109830107
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/30414149
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/0604",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Genetics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/06",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Biological Sciences",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "All India Institute of Medical Sciences",
"id": "https://www.grid.ac/institutes/grid.413618.9",
"name": [
"Department of Reproductive Biology, All India Institute of Medical Sciences (AIIMS), New Delhi, India."
],
"type": "Organization"
},
"familyName": "Kumar",
"givenName": "Neeraj",
"type": "Person"
},
{
"affiliation": {
"alternateName": "National Institute of Immunology",
"id": "https://www.grid.ac/institutes/grid.19100.39",
"name": [
"Molecular Aging Laboratory, National Institute of Immunology, New Delhi, India. arnab@nii.ac.in."
],
"type": "Organization"
},
"familyName": "Mukhopadhyay",
"givenName": "Arnab",
"id": "sg:person.0714452277.81",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0714452277.81"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1038/ng1983",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1006360808",
"https://doi.org/10.1038/ng1983"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.exger.2006.05.020",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1007947034"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1101/pdb.prot5279",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008176950"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ncb2720",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1008428712",
"https://doi.org/10.1038/ncb2720"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-4939-3530-7_21",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1010961432",
"https://doi.org/10.1007/978-1-4939-3530-7_21"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.cell.2005.02.002",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1016997464"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1756-0500-2-112",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021315345",
"https://doi.org/10.1186/1756-0500-2-112"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/1756-0500-2-112",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1021315345",
"https://doi.org/10.1186/1756-0500-2-112"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12033-009-9239-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024150845",
"https://doi.org/10.1007/s12033-009-9239-8"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s12033-009-9239-8",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1024150845",
"https://doi.org/10.1007/s12033-009-9239-8"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1038/sj.emboj.7600901",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025574792"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1038/sj.emboj.7600901",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1025574792"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/88850",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028361146",
"https://doi.org/10.1038/88850"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/88850",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028361146",
"https://doi.org/10.1038/88850"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ng1723",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028943783",
"https://doi.org/10.1038/ng1723"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/ng1723",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1028943783",
"https://doi.org/10.1038/ng1723"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1038/nprot.2008.38",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1029201993",
"https://doi.org/10.1038/nprot.2008.38"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1074/jbc.r115.651679",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031704681"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.molcel.2005.04.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041871160"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1016/j.molcel.2005.04.006",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1041871160"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1101/gr.5321506",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1043244506"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.1073/pnas.0508989102",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1048897037"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.18632/oncotarget.6282",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1050176143"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/978-1-61779-376-9_6",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1052900821",
"https://doi.org/10.1007/978-1-61779-376-9_6"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2741/2733",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1070914874"
],
"type": "CreativeWork"
},
{
"id": "https://doi.org/10.2144/04376rv01",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1076979461"
],
"type": "CreativeWork"
}
],
"datePublished": "2019",
"datePublishedReg": "2019-01-01",
"description": "Chromatin immunoprecipitation (ChIP) coupled to quantitative real-time PCR (ChIP-qPCR) or Next-Generation Sequencing (ChIP-seq) enables us to study the dynamics of chromatin recruitment of transcription factors (TFs). The popular model system Caenorhabditis elegans has provided us with fundamental understanding of the role of Insulin/IGF-1-like signaling (IIS) in metabolism and aging. The FOXO TF DAF-16 is the major output of the pathway that regulates most of the phenotypes associated with the IIS pathway. Here, we describe a ChIP protocol to study FOXO recruitment dynamics in whole C. elegans extracts. We discuss detailed practical procedures, including optimization, growth, harvesting, formaldehyde fixation, sonication of worms, TF immunoprecipitation for further downstream processing using qPCR as well as NGS for the analysis of FOXO-bound DNA.",
"editor": [
{
"familyName": "Link",
"givenName": "Wolfgang",
"type": "Person"
}
],
"genre": "chapter",
"id": "sg:pub.10.1007/978-1-4939-8900-3_10",
"inLanguage": [
"en"
],
"isAccessibleForFree": false,
"isPartOf": {
"isbn": [
"978-1-4939-8899-0",
"978-1-4939-8900-3"
],
"name": "FOXO Transcription Factors",
"type": "Book"
},
"name": "Using ChIP-Based Approaches to Characterize FOXO Recruitment to its Target Promoters.",
"pagination": "115-130",
"productId": [
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1007/978-1-4939-8900-3_10"
]
},
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1109830107"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"30414149"
]
}
],
"publisher": {
"location": "New York, NY",
"name": "Springer New York",
"type": "Organisation"
},
"sameAs": [
"https://doi.org/10.1007/978-1-4939-8900-3_10",
"https://app.dimensions.ai/details/publication/pub.1109830107"
],
"sdDataset": "chapters",
"sdDatePublished": "2019-04-16T05:20",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000339_0000000339/records_109487_00000002.jsonl",
"type": "Chapter",
"url": "http://link.springer.com/10.1007/978-1-4939-8900-3_10"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-8900-3_10'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-8900-3_10'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-8900-3_10'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/978-1-4939-8900-3_10'
This table displays all metadata directly associated to this object as RDF triples.
143 TRIPLES
23 PREDICATES
47 URIs
20 LITERALS
8 BLANK NODES