The regulatory landscape of Arabidopsis thaliana roots at single-cell resolution View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2021-06-07

AUTHORS

Michael W. Dorrity, Cristina M. Alexandre, Morgan O. Hamm, Anna-Lena Vigil, Stanley Fields, Christine Queitsch, Josh T. Cuperus

ABSTRACT

The scarcity of accessible sites that are dynamic or cell type-specific in plants may be due in part to tissue heterogeneity in bulk studies. To assess the effects of tissue heterogeneity, we apply single-cell ATAC-seq to Arabidopsis thaliana roots and identify thousands of differentially accessible sites, sufficient to resolve all major cell types of the root. We find that the entirety of a cell’s regulatory landscape and its transcriptome independently capture cell type identity. We leverage this shared information on cell identity to integrate accessibility and transcriptome data to characterize developmental progression, endoreduplication and cell division. We further use the combined data to characterize cell type-specific motif enrichments of transcription factor families and link the expression of family members to changing accessibility at specific loci, resolving direct and indirect effects that shape expression. Our approach provides an analytical framework to infer the gene regulatory networks that execute plant development. More... »

PAGES

3334

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s41467-021-23675-y

DOI

http://dx.doi.org/10.1038/s41467-021-23675-y

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1138654011

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/34099698


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/2008/06", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Biological Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "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/2008/0607", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Plant Biology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Arabidopsis", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Arabidopsis Proteins", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Biotechnology", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Chromatin", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Expression Regulation, Plant", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Gene Regulatory Networks", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Plant Roots", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transcription Factors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Transcriptome", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "Department of Genome Sciences, University of Washington, Seattle, WA, USA", 
          "id": "http://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Genome Sciences, University of Washington, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dorrity", 
        "givenName": "Michael W.", 
        "id": "sg:person.011602730575.91", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011602730575.91"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Genome Sciences, University of Washington, Seattle, WA, USA", 
          "id": "http://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Genome Sciences, University of Washington, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Alexandre", 
        "givenName": "Cristina M.", 
        "id": "sg:person.01155201361.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155201361.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Genome Sciences, University of Washington, Seattle, WA, USA", 
          "id": "http://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Genome Sciences, University of Washington, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Hamm", 
        "givenName": "Morgan O.", 
        "id": "sg:person.014336725727.57", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014336725727.57"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "School of Life Sciences, University of Nevada, Las Vegas, NV, USA", 
          "id": "http://www.grid.ac/institutes/grid.272362.0", 
          "name": [
            "School of Life Sciences, University of Nevada, Las Vegas, NV, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vigil", 
        "givenName": "Anna-Lena", 
        "id": "sg:person.014653327237.06", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014653327237.06"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Medicine, University of Washington, Seattle, WA, USA", 
          "id": "http://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Genome Sciences, University of Washington, Seattle, WA, USA", 
            "Department of Medicine, University of Washington, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fields", 
        "givenName": "Stanley", 
        "id": "sg:person.014624417057.73", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014624417057.73"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Genome Sciences, University of Washington, Seattle, WA, USA", 
          "id": "http://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Genome Sciences, University of Washington, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Queitsch", 
        "givenName": "Christine", 
        "id": "sg:person.0623027447.86", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623027447.86"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Department of Genome Sciences, University of Washington, Seattle, WA, USA", 
          "id": "http://www.grid.ac/institutes/grid.34477.33", 
          "name": [
            "Department of Genome Sciences, University of Washington, Seattle, WA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Cuperus", 
        "givenName": "Josh T.", 
        "id": "sg:person.01175571715.87", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175571715.87"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nrg3207", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049531859", 
          "https://doi.org/10.1038/nrg3207"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41586-019-0969-x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1112227299", 
          "https://doi.org/10.1038/s41586-019-0969-x"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.4096", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1101885942", 
          "https://doi.org/10.1038/nbt.4096"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/s41467-021-22352-4", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1136952141", 
          "https://doi.org/10.1038/s41467-021-22352-4"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ncomms2259", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036111436", 
          "https://doi.org/10.1038/ncomms2259"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2021-06-07", 
    "datePublishedReg": "2021-06-07", 
    "description": "The scarcity of accessible sites that are dynamic or cell type-specific in plants may be due in part to tissue heterogeneity in bulk studies. To assess the effects of tissue heterogeneity, we apply single-cell ATAC-seq to Arabidopsis thaliana roots and identify thousands of differentially accessible sites, sufficient to resolve all major cell types of the root. We find that the entirety of a cell\u2019s regulatory landscape and its transcriptome independently capture cell type identity. We leverage this shared information on cell identity to integrate accessibility and transcriptome data to characterize developmental progression, endoreduplication and cell division. We further use the combined data to characterize cell type-specific motif enrichments of transcription factor families and link the expression of family members to changing accessibility at specific loci, resolving direct and indirect effects that shape expression. Our approach provides an analytical framework to infer the gene regulatory networks that execute plant development.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/s41467-021-23675-y", 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.7671500", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.8472633", 
        "type": "MonetaryGrant"
      }, 
      {
        "id": "sg:grant.2519460", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1043282", 
        "issn": [
          "2041-1723"
        ], 
        "name": "Nature Communications", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "12"
      }
    ], 
    "keywords": [
      "regulatory landscape", 
      "single-cell ATAC-seq", 
      "Arabidopsis thaliana roots", 
      "cell type identity", 
      "transcription factor family", 
      "gene regulatory networks", 
      "single-cell resolution", 
      "major cell types", 
      "plant development", 
      "cell identity", 
      "ATAC-seq", 
      "motif enrichment", 
      "transcriptome data", 
      "regulatory networks", 
      "cell division", 
      "specific loci", 
      "factor family", 
      "cell types", 
      "developmental progression", 
      "accessible sites", 
      "type identity", 
      "roots", 
      "family members", 
      "expression", 
      "Arabidopsis", 
      "transcriptome", 
      "endoreduplication", 
      "bulk studies", 
      "loci", 
      "landscape", 
      "plants", 
      "indirect effects", 
      "sites", 
      "tissue heterogeneity", 
      "identity", 
      "cells", 
      "division", 
      "family", 
      "enrichment", 
      "heterogeneity", 
      "members", 
      "accessibility", 
      "thousands", 
      "progression", 
      "development", 
      "effect", 
      "data", 
      "scarcity", 
      "types", 
      "shape expression", 
      "entirety", 
      "part", 
      "study", 
      "resolution", 
      "information", 
      "network", 
      "approach", 
      "analytical framework", 
      "framework"
    ], 
    "name": "The regulatory landscape of Arabidopsis thaliana roots at single-cell resolution", 
    "pagination": "3334", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1138654011"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s41467-021-23675-y"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "34099698"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s41467-021-23675-y", 
      "https://app.dimensions.ai/details/publication/pub.1138654011"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-11-24T21:07", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20221124/entities/gbq_results/article/article_904.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/s41467-021-23675-y"
  }
]
 

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.10.1038/s41467-021-23675-y'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1038/s41467-021-23675-y'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s41467-021-23675-y'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s41467-021-23675-y'


 

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

232 TRIPLES      21 PREDICATES      99 URIs      85 LITERALS      16 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s41467-021-23675-y schema:about N07c156bb9bdc41e891e9bc10e2051874
2 N0d2da289226c4bddbf9b726137c6df39
3 N2cedbac9a90d4f07a89488a086fd5b47
4 N348fdb414378491cae6bd865cc94e2ff
5 N5e9a5619737d4ab39d86a28d78c37329
6 N6b5bab09c0c44cb3b2c58aaa89cf599d
7 N7ae5c7bc84914aefa5f6caedb59153ee
8 N8a5a031c495942e9bacba261f5216bc0
9 Na2ed68c765c3470ba4edf38d6eb0dbff
10 anzsrc-for:06
11 anzsrc-for:0604
12 anzsrc-for:0607
13 schema:author N451b9335ab724a55848d4807378d6292
14 schema:citation sg:pub.10.1038/nbt.4096
15 sg:pub.10.1038/ncomms2259
16 sg:pub.10.1038/nrg3207
17 sg:pub.10.1038/s41467-021-22352-4
18 sg:pub.10.1038/s41586-019-0969-x
19 schema:datePublished 2021-06-07
20 schema:datePublishedReg 2021-06-07
21 schema:description The scarcity of accessible sites that are dynamic or cell type-specific in plants may be due in part to tissue heterogeneity in bulk studies. To assess the effects of tissue heterogeneity, we apply single-cell ATAC-seq to Arabidopsis thaliana roots and identify thousands of differentially accessible sites, sufficient to resolve all major cell types of the root. We find that the entirety of a cell’s regulatory landscape and its transcriptome independently capture cell type identity. We leverage this shared information on cell identity to integrate accessibility and transcriptome data to characterize developmental progression, endoreduplication and cell division. We further use the combined data to characterize cell type-specific motif enrichments of transcription factor families and link the expression of family members to changing accessibility at specific loci, resolving direct and indirect effects that shape expression. Our approach provides an analytical framework to infer the gene regulatory networks that execute plant development.
22 schema:genre article
23 schema:isAccessibleForFree true
24 schema:isPartOf N072e7309d37d4b0b850281398628f160
25 N0fc9107dd4fc4a3ab01d833102e7ba23
26 sg:journal.1043282
27 schema:keywords ATAC-seq
28 Arabidopsis
29 Arabidopsis thaliana roots
30 accessibility
31 accessible sites
32 analytical framework
33 approach
34 bulk studies
35 cell division
36 cell identity
37 cell type identity
38 cell types
39 cells
40 data
41 development
42 developmental progression
43 division
44 effect
45 endoreduplication
46 enrichment
47 entirety
48 expression
49 factor family
50 family
51 family members
52 framework
53 gene regulatory networks
54 heterogeneity
55 identity
56 indirect effects
57 information
58 landscape
59 loci
60 major cell types
61 members
62 motif enrichment
63 network
64 part
65 plant development
66 plants
67 progression
68 regulatory landscape
69 regulatory networks
70 resolution
71 roots
72 scarcity
73 shape expression
74 single-cell ATAC-seq
75 single-cell resolution
76 sites
77 specific loci
78 study
79 thousands
80 tissue heterogeneity
81 transcription factor family
82 transcriptome
83 transcriptome data
84 type identity
85 types
86 schema:name The regulatory landscape of Arabidopsis thaliana roots at single-cell resolution
87 schema:pagination 3334
88 schema:productId Nbed072dc715d4baf8f6c4a14b50a6a86
89 Ne19f62d336d4428cb454bace1dff3dff
90 Nedae0a6ea218482f8568ed3c5eb3eccb
91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1138654011
92 https://doi.org/10.1038/s41467-021-23675-y
93 schema:sdDatePublished 2022-11-24T21:07
94 schema:sdLicense https://scigraph.springernature.com/explorer/license/
95 schema:sdPublisher N0fc8901f44db4d8da5b3546686b6a294
96 schema:url https://doi.org/10.1038/s41467-021-23675-y
97 sgo:license sg:explorer/license/
98 sgo:sdDataset articles
99 rdf:type schema:ScholarlyArticle
100 N072e7309d37d4b0b850281398628f160 schema:volumeNumber 12
101 rdf:type schema:PublicationVolume
102 N07c156bb9bdc41e891e9bc10e2051874 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
103 schema:name Plant Roots
104 rdf:type schema:DefinedTerm
105 N0d2da289226c4bddbf9b726137c6df39 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
106 schema:name Transcription Factors
107 rdf:type schema:DefinedTerm
108 N0fc8901f44db4d8da5b3546686b6a294 schema:name Springer Nature - SN SciGraph project
109 rdf:type schema:Organization
110 N0fc9107dd4fc4a3ab01d833102e7ba23 schema:issueNumber 1
111 rdf:type schema:PublicationIssue
112 N2cedbac9a90d4f07a89488a086fd5b47 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
113 schema:name Arabidopsis Proteins
114 rdf:type schema:DefinedTerm
115 N2e487d088a8b4ea9a76b5f58b08581fd rdf:first sg:person.014624417057.73
116 rdf:rest N6bc547e32d93497aa498b8bbd9608c77
117 N348fdb414378491cae6bd865cc94e2ff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
118 schema:name Arabidopsis
119 rdf:type schema:DefinedTerm
120 N451b9335ab724a55848d4807378d6292 rdf:first sg:person.011602730575.91
121 rdf:rest N69749dd71d034bae95b42a3c2493a659
122 N5e9a5619737d4ab39d86a28d78c37329 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
123 schema:name Chromatin
124 rdf:type schema:DefinedTerm
125 N69749dd71d034bae95b42a3c2493a659 rdf:first sg:person.01155201361.16
126 rdf:rest Nf2e0bc37a93b4f59a17af68177db15f7
127 N6b5bab09c0c44cb3b2c58aaa89cf599d schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Transcriptome
129 rdf:type schema:DefinedTerm
130 N6bc547e32d93497aa498b8bbd9608c77 rdf:first sg:person.0623027447.86
131 rdf:rest Na5b6336c7a5b4d118be77ec94a5c3e9b
132 N7ae5c7bc84914aefa5f6caedb59153ee schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
133 schema:name Gene Regulatory Networks
134 rdf:type schema:DefinedTerm
135 N8a5a031c495942e9bacba261f5216bc0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
136 schema:name Biotechnology
137 rdf:type schema:DefinedTerm
138 Na2ed68c765c3470ba4edf38d6eb0dbff schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
139 schema:name Gene Expression Regulation, Plant
140 rdf:type schema:DefinedTerm
141 Na5b6336c7a5b4d118be77ec94a5c3e9b rdf:first sg:person.01175571715.87
142 rdf:rest rdf:nil
143 Nbed072dc715d4baf8f6c4a14b50a6a86 schema:name pubmed_id
144 schema:value 34099698
145 rdf:type schema:PropertyValue
146 Nd288845720744085ad6cc264dd274b9e rdf:first sg:person.014653327237.06
147 rdf:rest N2e487d088a8b4ea9a76b5f58b08581fd
148 Ne19f62d336d4428cb454bace1dff3dff schema:name doi
149 schema:value 10.1038/s41467-021-23675-y
150 rdf:type schema:PropertyValue
151 Nedae0a6ea218482f8568ed3c5eb3eccb schema:name dimensions_id
152 schema:value pub.1138654011
153 rdf:type schema:PropertyValue
154 Nf2e0bc37a93b4f59a17af68177db15f7 rdf:first sg:person.014336725727.57
155 rdf:rest Nd288845720744085ad6cc264dd274b9e
156 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
157 schema:name Biological Sciences
158 rdf:type schema:DefinedTerm
159 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
160 schema:name Genetics
161 rdf:type schema:DefinedTerm
162 anzsrc-for:0607 schema:inDefinedTermSet anzsrc-for:
163 schema:name Plant Biology
164 rdf:type schema:DefinedTerm
165 sg:grant.2519460 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-021-23675-y
166 rdf:type schema:MonetaryGrant
167 sg:grant.7671500 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-021-23675-y
168 rdf:type schema:MonetaryGrant
169 sg:grant.8472633 http://pending.schema.org/fundedItem sg:pub.10.1038/s41467-021-23675-y
170 rdf:type schema:MonetaryGrant
171 sg:journal.1043282 schema:issn 2041-1723
172 schema:name Nature Communications
173 schema:publisher Springer Nature
174 rdf:type schema:Periodical
175 sg:person.01155201361.16 schema:affiliation grid-institutes:grid.34477.33
176 schema:familyName Alexandre
177 schema:givenName Cristina M.
178 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155201361.16
179 rdf:type schema:Person
180 sg:person.011602730575.91 schema:affiliation grid-institutes:grid.34477.33
181 schema:familyName Dorrity
182 schema:givenName Michael W.
183 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011602730575.91
184 rdf:type schema:Person
185 sg:person.01175571715.87 schema:affiliation grid-institutes:grid.34477.33
186 schema:familyName Cuperus
187 schema:givenName Josh T.
188 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175571715.87
189 rdf:type schema:Person
190 sg:person.014336725727.57 schema:affiliation grid-institutes:grid.34477.33
191 schema:familyName Hamm
192 schema:givenName Morgan O.
193 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014336725727.57
194 rdf:type schema:Person
195 sg:person.014624417057.73 schema:affiliation grid-institutes:grid.34477.33
196 schema:familyName Fields
197 schema:givenName Stanley
198 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014624417057.73
199 rdf:type schema:Person
200 sg:person.014653327237.06 schema:affiliation grid-institutes:grid.272362.0
201 schema:familyName Vigil
202 schema:givenName Anna-Lena
203 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014653327237.06
204 rdf:type schema:Person
205 sg:person.0623027447.86 schema:affiliation grid-institutes:grid.34477.33
206 schema:familyName Queitsch
207 schema:givenName Christine
208 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0623027447.86
209 rdf:type schema:Person
210 sg:pub.10.1038/nbt.4096 schema:sameAs https://app.dimensions.ai/details/publication/pub.1101885942
211 https://doi.org/10.1038/nbt.4096
212 rdf:type schema:CreativeWork
213 sg:pub.10.1038/ncomms2259 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036111436
214 https://doi.org/10.1038/ncomms2259
215 rdf:type schema:CreativeWork
216 sg:pub.10.1038/nrg3207 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049531859
217 https://doi.org/10.1038/nrg3207
218 rdf:type schema:CreativeWork
219 sg:pub.10.1038/s41467-021-22352-4 schema:sameAs https://app.dimensions.ai/details/publication/pub.1136952141
220 https://doi.org/10.1038/s41467-021-22352-4
221 rdf:type schema:CreativeWork
222 sg:pub.10.1038/s41586-019-0969-x schema:sameAs https://app.dimensions.ai/details/publication/pub.1112227299
223 https://doi.org/10.1038/s41586-019-0969-x
224 rdf:type schema:CreativeWork
225 grid-institutes:grid.272362.0 schema:alternateName School of Life Sciences, University of Nevada, Las Vegas, NV, USA
226 schema:name School of Life Sciences, University of Nevada, Las Vegas, NV, USA
227 rdf:type schema:Organization
228 grid-institutes:grid.34477.33 schema:alternateName Department of Genome Sciences, University of Washington, Seattle, WA, USA
229 Department of Medicine, University of Washington, Seattle, WA, USA
230 schema:name Department of Genome Sciences, University of Washington, Seattle, WA, USA
231 Department of Medicine, University of Washington, Seattle, WA, USA
232 rdf:type schema:Organization
 




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


...