Live imaging and tracking of genome regions in CRISPR/dCas9 knock-in mice View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Jinzhi Duan, Guangqing Lu, Yu Hong, Qingtao Hu, Xueying Mai, Jing Guo, Xiaofang Si, Fengchao Wang, Yu Zhang

ABSTRACT

CRISPR/dCas9 is a versatile tool that can be used to recruit various effectors and fluorescent molecules to defined genome regions where it can modulate genetic and epigenetic markers, or track the chromatin dynamics in live cells. In vivo applications of CRISPR/dCas9 in animals have been challenged by delivery issues. We generate and characterize a mouse strain with dCas9-EGFP ubiquitously expressed in various tissues. Studying telomere dynamics in these animals reveals surprising results different from those observed in cultured cell lines. The CRISPR/dCas9 knock-in mice provide an important and versatile tool to mechanistically study genome functions in live animals. More... »

PAGES

192

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/s13059-018-1530-1

DOI

http://dx.doi.org/10.1186/s13059-018-1530-1

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1109778846

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30409154


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

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": "National Institute of Biological Sciences, Beijing", 
          "id": "https://www.grid.ac/institutes/grid.410717.4", 
          "name": [
            "Graduate Program, Peking Union Medical College and Chinese Academy of Medical Sciences, 100730, Beijing, China", 
            "National Institute of Biological Sciences, 102206, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Duan", 
        "givenName": "Jinzhi", 
        "id": "sg:person.0776470100.45", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0776470100.45"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Biological Sciences, Beijing", 
          "id": "https://www.grid.ac/institutes/grid.410717.4", 
          "name": [
            "Graduate Program, Peking Union Medical College and Chinese Academy of Medical Sciences, 100730, Beijing, China", 
            "National Institute of Biological Sciences, 102206, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lu", 
        "givenName": "Guangqing", 
        "id": "sg:person.01044603300.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044603300.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Biological Sciences, Beijing", 
          "id": "https://www.grid.ac/institutes/grid.410717.4", 
          "name": [
            "Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program, School of Life Sciences, Peking University, 100871, Beijing, China", 
            "National Institute of Biological Sciences, 102206, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hong", 
        "givenName": "Yu", 
        "id": "sg:person.016000034530.40", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016000034530.40"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Biological Sciences, Beijing", 
          "id": "https://www.grid.ac/institutes/grid.410717.4", 
          "name": [
            "National Institute of Biological Sciences, 102206, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hu", 
        "givenName": "Qingtao", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Biological Sciences, Beijing", 
          "id": "https://www.grid.ac/institutes/grid.410717.4", 
          "name": [
            "National Institute of Biological Sciences, 102206, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mai", 
        "givenName": "Xueying", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Biological Sciences, Beijing", 
          "id": "https://www.grid.ac/institutes/grid.410717.4", 
          "name": [
            "Graduate Program, Peking Union Medical College and Chinese Academy of Medical Sciences, 100730, Beijing, China", 
            "National Institute of Biological Sciences, 102206, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guo", 
        "givenName": "Jing", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Biological Sciences, Beijing", 
          "id": "https://www.grid.ac/institutes/grid.410717.4", 
          "name": [
            "Graduate Program, Peking Union Medical College and Chinese Academy of Medical Sciences, 100730, Beijing, China", 
            "National Institute of Biological Sciences, 102206, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Si", 
        "givenName": "Xiaofang", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Biological Sciences, Beijing", 
          "id": "https://www.grid.ac/institutes/grid.410717.4", 
          "name": [
            "National Institute of Biological Sciences, 102206, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wang", 
        "givenName": "Fengchao", 
        "id": "sg:person.01026666317.79", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026666317.79"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Tsinghua University", 
          "id": "https://www.grid.ac/institutes/grid.12527.33", 
          "name": [
            "Graduate Program, Peking Union Medical College and Chinese Academy of Medical Sciences, 100730, Beijing, China", 
            "Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program, School of Life Sciences, Peking University, 100871, Beijing, China", 
            "National Institute of Biological Sciences, 102206, Beijing, China", 
            "Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, 100084, Beijing, China"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Zhang", 
        "givenName": "Yu", 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nrm2848", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007333040", 
          "https://doi.org/10.1038/nrm2848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrm2848", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007333040", 
          "https://doi.org/10.1038/nrm2848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.3526", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007681398", 
          "https://doi.org/10.1038/nbt.3526"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms9044", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011384778", 
          "https://doi.org/10.1038/ncomms9044"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jhep.2015.03.022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011599940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1237", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014167362", 
          "https://doi.org/10.1038/nmeth.1237"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2013.12.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014213089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2015.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017023095", 
          "https://doi.org/10.1038/nprot.2015.006"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1231143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1019873131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2014.09.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021453389"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1232033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022072971"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0006-3495(03)74856-5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023720556"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/cr.2016.3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025268355", 
          "https://doi.org/10.1038/cr.2016.3"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gad.1346005", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030338046"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.gt.3300947", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030560074", 
          "https://doi.org/10.1038/sj.gt.3300947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/sj.gt.3300947", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030560074", 
          "https://doi.org/10.1038/sj.gt.3300947"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-genom-091212-153515", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1035079803"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2015.12.035", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1038741332"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2014.05.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1039182708"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1083/jcb.201307172", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042336040"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1074/mcp.m700342-mcp200", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044598000"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-biochem-060815-014607", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045483428"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-biophys-062215-010830", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050560013"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.aad6933", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051282374"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nrm.2015.2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052083740", 
          "https://doi.org/10.1038/nrm.2015.2"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1101/gad.543509", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053499549"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/anie.201709201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092415309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/anie.201709201", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1092415309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.aao3136", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1100654478"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-018-04252-2", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1103911304", 
          "https://doi.org/10.1038/s41467-018-04252-2"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "CRISPR/dCas9 is a versatile tool that can be used to recruit various effectors and fluorescent molecules to defined genome regions where it can modulate genetic and epigenetic markers, or track the chromatin dynamics in live cells. In vivo applications of CRISPR/dCas9 in animals have been challenged by delivery issues. We generate and characterize a mouse strain with dCas9-EGFP ubiquitously expressed in various tissues. Studying telomere dynamics in these animals reveals surprising results different from those observed in cultured cell lines. The CRISPR/dCas9 knock-in mice provide an important and versatile tool to mechanistically study genome functions in live animals.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/s13059-018-1530-1", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1023439", 
        "issn": [
          "1474-760X", 
          "1465-6906"
        ], 
        "name": "Genome Biology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "19"
      }
    ], 
    "name": "Live imaging and tracking of genome regions in CRISPR/dCas9 knock-in mice", 
    "pagination": "192", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "070f40e4ea9bf7f0a965884e3cadfa1a86f9b13852e7a5e420af16e36334b23d"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30409154"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "100960660"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/s13059-018-1530-1"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1109778846"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/s13059-018-1530-1", 
      "https://app.dimensions.ai/details/publication/pub.1109778846"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T08:09", 
    "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/v90/0000000267_0000000267/records_56093_00000000.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1186%2Fs13059-018-1530-1"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

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.10.1186/s13059-018-1530-1'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13059-018-1530-1'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13059-018-1530-1'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13059-018-1530-1'


 

This table displays all metadata directly associated to this object as RDF triples.

218 TRIPLES      21 PREDICATES      56 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/s13059-018-1530-1 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author Nad069951f13949acab547dd32266e5e4
4 schema:citation sg:pub.10.1038/cr.2016.3
5 sg:pub.10.1038/nbt.3526
6 sg:pub.10.1038/ncomms9044
7 sg:pub.10.1038/nmeth.1237
8 sg:pub.10.1038/nprot.2015.006
9 sg:pub.10.1038/nrm.2015.2
10 sg:pub.10.1038/nrm2848
11 sg:pub.10.1038/s41467-018-04252-2
12 sg:pub.10.1038/sj.gt.3300947
13 https://doi.org/10.1002/anie.201709201
14 https://doi.org/10.1016/j.cell.2013.12.001
15 https://doi.org/10.1016/j.cell.2014.05.010
16 https://doi.org/10.1016/j.cell.2014.09.014
17 https://doi.org/10.1016/j.cell.2015.12.035
18 https://doi.org/10.1016/j.jhep.2015.03.022
19 https://doi.org/10.1016/s0006-3495(03)74856-5
20 https://doi.org/10.1074/mcp.m700342-mcp200
21 https://doi.org/10.1083/jcb.201307172
22 https://doi.org/10.1101/gad.1346005
23 https://doi.org/10.1101/gad.543509
24 https://doi.org/10.1126/science.1231143
25 https://doi.org/10.1126/science.1232033
26 https://doi.org/10.1126/science.aad6933
27 https://doi.org/10.1126/science.aao3136
28 https://doi.org/10.1146/annurev-biochem-060815-014607
29 https://doi.org/10.1146/annurev-biophys-062215-010830
30 https://doi.org/10.1146/annurev-genom-091212-153515
31 schema:datePublished 2018-12
32 schema:datePublishedReg 2018-12-01
33 schema:description CRISPR/dCas9 is a versatile tool that can be used to recruit various effectors and fluorescent molecules to defined genome regions where it can modulate genetic and epigenetic markers, or track the chromatin dynamics in live cells. In vivo applications of CRISPR/dCas9 in animals have been challenged by delivery issues. We generate and characterize a mouse strain with dCas9-EGFP ubiquitously expressed in various tissues. Studying telomere dynamics in these animals reveals surprising results different from those observed in cultured cell lines. The CRISPR/dCas9 knock-in mice provide an important and versatile tool to mechanistically study genome functions in live animals.
34 schema:genre research_article
35 schema:inLanguage en
36 schema:isAccessibleForFree true
37 schema:isPartOf N1ebdc7da05ca4f3781e9b5a06fffaa46
38 N51dbea43b8624e7b9f7e9c7a0a2bcdc4
39 sg:journal.1023439
40 schema:name Live imaging and tracking of genome regions in CRISPR/dCas9 knock-in mice
41 schema:pagination 192
42 schema:productId N1f796dd044ba46a1b9da9e2fc2575791
43 N63eb8ed46ca0466ab772c307c83d613d
44 N72f91421826e4ff0a602f263832e4bf9
45 N8426546e28184852a7783688b810413e
46 Nb80a1e973cd64af2ab2c605bf8f6e6af
47 schema:sameAs https://app.dimensions.ai/details/publication/pub.1109778846
48 https://doi.org/10.1186/s13059-018-1530-1
49 schema:sdDatePublished 2019-04-11T08:09
50 schema:sdLicense https://scigraph.springernature.com/explorer/license/
51 schema:sdPublisher N693cf076edc34a3c8087c9c654dcaa94
52 schema:url https://link.springer.com/10.1186%2Fs13059-018-1530-1
53 sgo:license sg:explorer/license/
54 sgo:sdDataset articles
55 rdf:type schema:ScholarlyArticle
56 N046879920d194054a17e5b65b78eebe0 rdf:first sg:person.01026666317.79
57 rdf:rest Ne8a84a0a15414f2f8ee1d49445deadeb
58 N10ce2c3069b241b5b9daae97431f7f1f rdf:first N491b63c58b4448979f2c67c5cc634282
59 rdf:rest Nc7c12b773d97428e895c6d9c4d62a661
60 N1ebdc7da05ca4f3781e9b5a06fffaa46 schema:volumeNumber 19
61 rdf:type schema:PublicationVolume
62 N1f796dd044ba46a1b9da9e2fc2575791 schema:name dimensions_id
63 schema:value pub.1109778846
64 rdf:type schema:PropertyValue
65 N2a00106d1df64180a44f05f42f0c152f rdf:first Nd6b5e11f1d4a4a8d88edad7295e01bbe
66 rdf:rest N3a58ed32c775471988f4220f85e7f3e1
67 N3a58ed32c775471988f4220f85e7f3e1 rdf:first N539265b6a70949888f7f56cc585e81d6
68 rdf:rest N046879920d194054a17e5b65b78eebe0
69 N491b63c58b4448979f2c67c5cc634282 schema:affiliation https://www.grid.ac/institutes/grid.410717.4
70 schema:familyName Hu
71 schema:givenName Qingtao
72 rdf:type schema:Person
73 N51dbea43b8624e7b9f7e9c7a0a2bcdc4 schema:issueNumber 1
74 rdf:type schema:PublicationIssue
75 N539265b6a70949888f7f56cc585e81d6 schema:affiliation https://www.grid.ac/institutes/grid.410717.4
76 schema:familyName Si
77 schema:givenName Xiaofang
78 rdf:type schema:Person
79 N63eb8ed46ca0466ab772c307c83d613d schema:name pubmed_id
80 schema:value 30409154
81 rdf:type schema:PropertyValue
82 N693cf076edc34a3c8087c9c654dcaa94 schema:name Springer Nature - SN SciGraph project
83 rdf:type schema:Organization
84 N72f91421826e4ff0a602f263832e4bf9 schema:name doi
85 schema:value 10.1186/s13059-018-1530-1
86 rdf:type schema:PropertyValue
87 N7665ae6e93834e8796b4f8de87b6368b schema:affiliation https://www.grid.ac/institutes/grid.12527.33
88 schema:familyName Zhang
89 schema:givenName Yu
90 rdf:type schema:Person
91 N8281e1d6dbda4abc8e06db51a62d5ddc rdf:first sg:person.016000034530.40
92 rdf:rest N10ce2c3069b241b5b9daae97431f7f1f
93 N8426546e28184852a7783688b810413e schema:name nlm_unique_id
94 schema:value 100960660
95 rdf:type schema:PropertyValue
96 Nad069951f13949acab547dd32266e5e4 rdf:first sg:person.0776470100.45
97 rdf:rest Nd9bd901c3ccf440bb0ec59cc53b6fc8c
98 Nb80a1e973cd64af2ab2c605bf8f6e6af schema:name readcube_id
99 schema:value 070f40e4ea9bf7f0a965884e3cadfa1a86f9b13852e7a5e420af16e36334b23d
100 rdf:type schema:PropertyValue
101 Nc7c12b773d97428e895c6d9c4d62a661 rdf:first Ne51c67b0c29248069378789b3cc25a0c
102 rdf:rest N2a00106d1df64180a44f05f42f0c152f
103 Nd6b5e11f1d4a4a8d88edad7295e01bbe schema:affiliation https://www.grid.ac/institutes/grid.410717.4
104 schema:familyName Guo
105 schema:givenName Jing
106 rdf:type schema:Person
107 Nd9bd901c3ccf440bb0ec59cc53b6fc8c rdf:first sg:person.01044603300.23
108 rdf:rest N8281e1d6dbda4abc8e06db51a62d5ddc
109 Ne51c67b0c29248069378789b3cc25a0c schema:affiliation https://www.grid.ac/institutes/grid.410717.4
110 schema:familyName Mai
111 schema:givenName Xueying
112 rdf:type schema:Person
113 Ne8a84a0a15414f2f8ee1d49445deadeb rdf:first N7665ae6e93834e8796b4f8de87b6368b
114 rdf:rest rdf:nil
115 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
116 schema:name Biological Sciences
117 rdf:type schema:DefinedTerm
118 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
119 schema:name Genetics
120 rdf:type schema:DefinedTerm
121 sg:journal.1023439 schema:issn 1465-6906
122 1474-760X
123 schema:name Genome Biology
124 rdf:type schema:Periodical
125 sg:person.01026666317.79 schema:affiliation https://www.grid.ac/institutes/grid.410717.4
126 schema:familyName Wang
127 schema:givenName Fengchao
128 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026666317.79
129 rdf:type schema:Person
130 sg:person.01044603300.23 schema:affiliation https://www.grid.ac/institutes/grid.410717.4
131 schema:familyName Lu
132 schema:givenName Guangqing
133 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01044603300.23
134 rdf:type schema:Person
135 sg:person.016000034530.40 schema:affiliation https://www.grid.ac/institutes/grid.410717.4
136 schema:familyName Hong
137 schema:givenName Yu
138 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016000034530.40
139 rdf:type schema:Person
140 sg:person.0776470100.45 schema:affiliation https://www.grid.ac/institutes/grid.410717.4
141 schema:familyName Duan
142 schema:givenName Jinzhi
143 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0776470100.45
144 rdf:type schema:Person
145 sg:pub.10.1038/cr.2016.3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025268355
146 https://doi.org/10.1038/cr.2016.3
147 rdf:type schema:CreativeWork
148 sg:pub.10.1038/nbt.3526 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007681398
149 https://doi.org/10.1038/nbt.3526
150 rdf:type schema:CreativeWork
151 sg:pub.10.1038/ncomms9044 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011384778
152 https://doi.org/10.1038/ncomms9044
153 rdf:type schema:CreativeWork
154 sg:pub.10.1038/nmeth.1237 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014167362
155 https://doi.org/10.1038/nmeth.1237
156 rdf:type schema:CreativeWork
157 sg:pub.10.1038/nprot.2015.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017023095
158 https://doi.org/10.1038/nprot.2015.006
159 rdf:type schema:CreativeWork
160 sg:pub.10.1038/nrm.2015.2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052083740
161 https://doi.org/10.1038/nrm.2015.2
162 rdf:type schema:CreativeWork
163 sg:pub.10.1038/nrm2848 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007333040
164 https://doi.org/10.1038/nrm2848
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/s41467-018-04252-2 schema:sameAs https://app.dimensions.ai/details/publication/pub.1103911304
167 https://doi.org/10.1038/s41467-018-04252-2
168 rdf:type schema:CreativeWork
169 sg:pub.10.1038/sj.gt.3300947 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030560074
170 https://doi.org/10.1038/sj.gt.3300947
171 rdf:type schema:CreativeWork
172 https://doi.org/10.1002/anie.201709201 schema:sameAs https://app.dimensions.ai/details/publication/pub.1092415309
173 rdf:type schema:CreativeWork
174 https://doi.org/10.1016/j.cell.2013.12.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014213089
175 rdf:type schema:CreativeWork
176 https://doi.org/10.1016/j.cell.2014.05.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1039182708
177 rdf:type schema:CreativeWork
178 https://doi.org/10.1016/j.cell.2014.09.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021453389
179 rdf:type schema:CreativeWork
180 https://doi.org/10.1016/j.cell.2015.12.035 schema:sameAs https://app.dimensions.ai/details/publication/pub.1038741332
181 rdf:type schema:CreativeWork
182 https://doi.org/10.1016/j.jhep.2015.03.022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011599940
183 rdf:type schema:CreativeWork
184 https://doi.org/10.1016/s0006-3495(03)74856-5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023720556
185 rdf:type schema:CreativeWork
186 https://doi.org/10.1074/mcp.m700342-mcp200 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044598000
187 rdf:type schema:CreativeWork
188 https://doi.org/10.1083/jcb.201307172 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042336040
189 rdf:type schema:CreativeWork
190 https://doi.org/10.1101/gad.1346005 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030338046
191 rdf:type schema:CreativeWork
192 https://doi.org/10.1101/gad.543509 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053499549
193 rdf:type schema:CreativeWork
194 https://doi.org/10.1126/science.1231143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1019873131
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1126/science.1232033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022072971
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1126/science.aad6933 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051282374
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1126/science.aao3136 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100654478
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1146/annurev-biochem-060815-014607 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045483428
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1146/annurev-biophys-062215-010830 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050560013
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1146/annurev-genom-091212-153515 schema:sameAs https://app.dimensions.ai/details/publication/pub.1035079803
207 rdf:type schema:CreativeWork
208 https://www.grid.ac/institutes/grid.12527.33 schema:alternateName Tsinghua University
209 schema:name Graduate Program, Peking Union Medical College and Chinese Academy of Medical Sciences, 100730, Beijing, China
210 National Institute of Biological Sciences, 102206, Beijing, China
211 Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program, School of Life Sciences, Peking University, 100871, Beijing, China
212 Tsinghua Institute of Multidisciplinary Biomedical Research, Tsinghua University, 100084, Beijing, China
213 rdf:type schema:Organization
214 https://www.grid.ac/institutes/grid.410717.4 schema:alternateName National Institute of Biological Sciences, Beijing
215 schema:name Graduate Program, Peking Union Medical College and Chinese Academy of Medical Sciences, 100730, Beijing, China
216 National Institute of Biological Sciences, 102206, Beijing, China
217 Peking University-Tsinghua University-National Institute of Biological Sciences Joint Graduate Program, School of Life Sciences, Peking University, 100871, Beijing, China
218 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...