Φ-score: A cell-to-cell phenotypic scoring method for sensitive and selective hit discovery in cell-based assays View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2015-09-18

AUTHORS

Laurent Guyon, Christian Lajaunie, Frédéric Fer, Ricky Bhajun, Eric Sulpice, Guillaume Pinna, Anna Campalans, J. Pablo Radicella, Philippe Rouillier, Mélissa Mary, Stéphanie Combe, Patricia Obeid, Jean-Philippe Vert, Xavier Gidrol

ABSTRACT

Phenotypic screening monitors phenotypic changes induced by perturbations, including those generated by drugs or RNA interference. Currently-used methods for scoring screen hits have proven to be problematic, particularly when applied to physiologically relevant conditions such as low cell numbers or inefficient transfection. Here, we describe the Φ-score, which is a novel scoring method for the identification of phenotypic modifiers or hits in cell-based screens. Φ-score performance was assessed with simulations, a validation experiment and its application to gene identification in a large-scale RNAi screen. Using robust statistics and a variance model, we demonstrated that the Φ-score showed better sensitivity, selectivity and reproducibility compared to classical approaches. The improved performance of the Φ-score paves the way for cell-based screening of primary cells, which are often difficult to obtain from patients in sufficient numbers. We also describe a dedicated merging procedure to pool scores from small interfering RNAs targeting the same gene so as to provide improved visualization and hit selection. More... »

PAGES

14221

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/srep14221

DOI

http://dx.doi.org/10.1038/srep14221

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1053725659

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/26382112


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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "INSERM, U1038, F-38054, Grenoble, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "Universit\u00e9 Grenoble-Alpes, F-38000, Grenoble, France", 
            "CEA, iRTSV, Biologie \u00e0 Grande Echelle, F-38054, Grenoble, France", 
            "INSERM, U1038, F-38054, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Guyon", 
        "givenName": "Laurent", 
        "id": "sg:person.01234457561.26", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234457561.26"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM, U900, F-75248, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "MINES ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, F-77300, Fontainebleau, France", 
            "Institut Curie, F-75248, Paris, France", 
            "INSERM, U900, F-75248, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Lajaunie", 
        "givenName": "Christian", 
        "id": "sg:person.01133252362.16", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133252362.16"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM, U1038, F-38054, Grenoble, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "Universit\u00e9 Grenoble-Alpes, F-38000, Grenoble, France", 
            "CEA, iRTSV, Biologie \u00e0 Grande Echelle, F-38054, Grenoble, France", 
            "INSERM, U1038, F-38054, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Fer", 
        "givenName": "Fr\u00e9d\u00e9ric", 
        "id": "sg:person.01353457744.44", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353457744.44"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM, U1038, F-38054, Grenoble, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "Universit\u00e9 Grenoble-Alpes, F-38000, Grenoble, France", 
            "CEA, iRTSV, Biologie \u00e0 Grande Echelle, F-38054, Grenoble, France", 
            "INSERM, U1038, F-38054, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bhajun", 
        "givenName": "Ricky", 
        "id": "sg:person.0747704221.53", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747704221.53"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM, U1038, F-38054, Grenoble, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "Universit\u00e9 Grenoble-Alpes, F-38000, Grenoble, France", 
            "CEA, iRTSV, Biologie \u00e0 Grande Echelle, F-38054, Grenoble, France", 
            "INSERM, U1038, F-38054, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Sulpice", 
        "givenName": "Eric", 
        "id": "sg:person.01130310301.78", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130310301.78"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Plateforme ARN interf\u00e9rence (PArI) CEA SACLAY, DSV/IBITEC-S/SBIGEM/UMR 9198, F-91191, Gif-sur-Yvette", 
          "id": "http://www.grid.ac/institutes/grid.457334.2", 
          "name": [
            "Plateforme ARN interf\u00e9rence (PArI) CEA SACLAY, DSV/IBITEC-S/SBIGEM/UMR 9198, F-91191, Gif-sur-Yvette"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pinna", 
        "givenName": "Guillaume", 
        "id": "sg:person.01055174765.41", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055174765.41"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universit\u00e9 Paris Sud, U967, F-92265, Fontenay-aux-Roses, France", 
          "id": "http://www.grid.ac/institutes/grid.5842.b", 
          "name": [
            "CEA, Institute of Molecular and Cellular Radiobiology, F-92265, Fontenay aux Roses, France", 
            "INSERM, U967, F-92265, Fontenay-aux-Roses, France", 
            "Universit\u00e9 Paris Diderot, U967, F-92265, Fontenay-aux-Roses, France", 
            "Universit\u00e9 Paris Sud, U967, F-92265, Fontenay-aux-Roses, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Campalans", 
        "givenName": "Anna", 
        "id": "sg:person.01276706561.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276706561.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universit\u00e9 Paris Sud, U967, F-92265, Fontenay-aux-Roses, France", 
          "id": "http://www.grid.ac/institutes/grid.5842.b", 
          "name": [
            "CEA, Institute of Molecular and Cellular Radiobiology, F-92265, Fontenay aux Roses, France", 
            "INSERM, U967, F-92265, Fontenay-aux-Roses, France", 
            "Universit\u00e9 Paris Diderot, U967, F-92265, Fontenay-aux-Roses, France", 
            "Universit\u00e9 Paris Sud, U967, F-92265, Fontenay-aux-Roses, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Radicella", 
        "givenName": "J. Pablo", 
        "id": "sg:person.01041364337.11", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041364337.11"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM, U900, F-75248, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "MINES ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, F-77300, Fontainebleau, France", 
            "Institut Curie, F-75248, Paris, France", 
            "INSERM, U900, F-75248, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rouillier", 
        "givenName": "Philippe", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM, U1038, F-38054, Grenoble, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "Universit\u00e9 Grenoble-Alpes, F-38000, Grenoble, France", 
            "CEA, iRTSV, Biologie \u00e0 Grande Echelle, F-38054, Grenoble, France", 
            "INSERM, U1038, F-38054, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mary", 
        "givenName": "M\u00e9lissa", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM, U1038, F-38054, Grenoble, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "Universit\u00e9 Grenoble-Alpes, F-38000, Grenoble, France", 
            "CEA, iRTSV, Biologie \u00e0 Grande Echelle, F-38054, Grenoble, France", 
            "INSERM, U1038, F-38054, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Combe", 
        "givenName": "St\u00e9phanie", 
        "id": "sg:person.01360765301.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360765301.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM, U1038, F-38054, Grenoble, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "Universit\u00e9 Grenoble-Alpes, F-38000, Grenoble, France", 
            "CEA, iRTSV, Biologie \u00e0 Grande Echelle, F-38054, Grenoble, France", 
            "INSERM, U1038, F-38054, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Obeid", 
        "givenName": "Patricia", 
        "id": "sg:person.01176423501.05", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176423501.05"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM, U900, F-75248, Paris, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "MINES ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, F-77300, Fontainebleau, France", 
            "Institut Curie, F-75248, Paris, France", 
            "INSERM, U900, F-75248, Paris, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Vert", 
        "givenName": "Jean-Philippe", 
        "id": "sg:person.01026504662.21", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026504662.21"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "INSERM, U1038, F-38054, Grenoble, France", 
          "id": "http://www.grid.ac/institutes/grid.7429.8", 
          "name": [
            "Universit\u00e9 Grenoble-Alpes, F-38000, Grenoble, France", 
            "CEA, iRTSV, Biologie \u00e0 Grande Echelle, F-38054, Grenoble, France", 
            "INSERM, U1038, F-38054, Grenoble, France"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gidrol", 
        "givenName": "Xavier", 
        "id": "sg:person.0767110013.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767110013.03"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nbt1186", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023338227", 
          "https://doi.org/10.1038/nbt1186"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1351", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1046739948", 
          "https://doi.org/10.1038/nmeth.1351"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature12748", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047241961", 
          "https://doi.org/10.1038/nature12748"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-61779-965-5_1", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042965425", 
          "https://doi.org/10.1007/978-1-61779-965-5_1"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature08779", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1028684344", 
          "https://doi.org/10.1038/nature08779"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.2733", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021868308", 
          "https://doi.org/10.1038/nmeth.2733"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth1089", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003969366", 
          "https://doi.org/10.1038/nmeth1089"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature12229", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017047211", 
          "https://doi.org/10.1038/nature12229"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2105-12-485", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003457461", 
          "https://doi.org/10.1186/1471-2105-12-485"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.1898", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015009843", 
          "https://doi.org/10.1038/nmeth.1898"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth1006-777", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043298132", 
          "https://doi.org/10.1038/nmeth1006-777"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/ng1033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026723563", 
          "https://doi.org/10.1038/ng1033"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nmeth.2436", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1032925646", 
          "https://doi.org/10.1038/nmeth.2436"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2015-09-18", 
    "datePublishedReg": "2015-09-18", 
    "description": "Phenotypic screening monitors phenotypic changes induced by perturbations, including those generated by drugs or RNA interference. Currently-used methods for scoring screen hits have proven to be problematic, particularly when applied to physiologically relevant conditions such as low cell numbers or inefficient transfection. Here, we describe the \u03a6-score, which is a novel scoring method for the identification of phenotypic modifiers or hits in cell-based screens. \u03a6-score performance was assessed with simulations, a validation experiment and its application to gene identification in a large-scale RNAi screen. Using robust statistics and a variance model, we demonstrated that the \u03a6-score showed better sensitivity, selectivity and reproducibility compared to classical approaches. The improved performance of the \u03a6-score paves the way for cell-based screening of primary cells, which are often difficult to obtain from patients in sufficient numbers. We also describe a dedicated merging procedure to pool scores from small interfering RNAs targeting the same gene so as to provide improved visualization and hit selection.", 
    "genre": "article", 
    "id": "sg:pub.10.1038/srep14221", 
    "inLanguage": "en", 
    "isAccessibleForFree": true, 
    "isPartOf": [
      {
        "id": "sg:journal.1045337", 
        "issn": [
          "2045-2322"
        ], 
        "name": "Scientific Reports", 
        "publisher": "Springer Nature", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "5"
      }
    ], 
    "keywords": [
      "large-scale RNAi screen", 
      "cell-based screen", 
      "cell-based screening", 
      "RNAi screen", 
      "screen hits", 
      "RNA interference", 
      "cell-based assays", 
      "same gene", 
      "low cell numbers", 
      "phenotypic changes", 
      "phenotypic modifiers", 
      "primary cells", 
      "cell number", 
      "Hit Discovery", 
      "inefficient transfection", 
      "novel scoring method", 
      "cells", 
      "genes", 
      "screen", 
      "RNA", 
      "hits", 
      "transfection", 
      "identification", 
      "relevant conditions", 
      "assays", 
      "discovery", 
      "validation experiments", 
      "sufficient number", 
      "selection", 
      "modifiers", 
      "number", 
      "perturbations", 
      "screening", 
      "changes", 
      "interference", 
      "experiments", 
      "conditions", 
      "classical approach", 
      "sensitivity", 
      "selectivity", 
      "drugs", 
      "visualization", 
      "scoring method", 
      "approach", 
      "method", 
      "model", 
      "applications", 
      "way", 
      "reproducibility", 
      "robust statistics", 
      "variance model", 
      "good sensitivity", 
      "improved performance", 
      "procedure", 
      "performance", 
      "simulations", 
      "statistics", 
      "patients", 
      "improved visualization", 
      "scores"
    ], 
    "name": "\u03a6-score: A cell-to-cell phenotypic scoring method for sensitive and selective hit discovery in cell-based assays", 
    "pagination": "14221", 
    "productId": [
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1053725659"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/srep14221"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "26382112"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/srep14221", 
      "https://app.dimensions.ai/details/publication/pub.1053725659"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2022-05-20T07:31", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-springernature-scigraph/baseset/20220519/entities/gbq_results/article/article_669.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://doi.org/10.1038/srep14221"
  }
]
 

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/srep14221'

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/srep14221'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/srep14221'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/srep14221'


 

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

277 TRIPLES      22 PREDICATES      99 URIs      78 LITERALS      7 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/srep14221 schema:about anzsrc-for:06
2 anzsrc-for:0604
3 schema:author N5f1626d42b6545ca96f93f73a3cbc3a7
4 schema:citation sg:pub.10.1007/978-1-61779-965-5_1
5 sg:pub.10.1038/nature08779
6 sg:pub.10.1038/nature12229
7 sg:pub.10.1038/nature12748
8 sg:pub.10.1038/nbt1186
9 sg:pub.10.1038/ng1033
10 sg:pub.10.1038/nmeth.1351
11 sg:pub.10.1038/nmeth.1898
12 sg:pub.10.1038/nmeth.2436
13 sg:pub.10.1038/nmeth.2733
14 sg:pub.10.1038/nmeth1006-777
15 sg:pub.10.1038/nmeth1089
16 sg:pub.10.1186/1471-2105-12-485
17 schema:datePublished 2015-09-18
18 schema:datePublishedReg 2015-09-18
19 schema:description Phenotypic screening monitors phenotypic changes induced by perturbations, including those generated by drugs or RNA interference. Currently-used methods for scoring screen hits have proven to be problematic, particularly when applied to physiologically relevant conditions such as low cell numbers or inefficient transfection. Here, we describe the Φ-score, which is a novel scoring method for the identification of phenotypic modifiers or hits in cell-based screens. Φ-score performance was assessed with simulations, a validation experiment and its application to gene identification in a large-scale RNAi screen. Using robust statistics and a variance model, we demonstrated that the Φ-score showed better sensitivity, selectivity and reproducibility compared to classical approaches. The improved performance of the Φ-score paves the way for cell-based screening of primary cells, which are often difficult to obtain from patients in sufficient numbers. We also describe a dedicated merging procedure to pool scores from small interfering RNAs targeting the same gene so as to provide improved visualization and hit selection.
20 schema:genre article
21 schema:inLanguage en
22 schema:isAccessibleForFree true
23 schema:isPartOf N4629d05c1bc24fafb058251564b20ad2
24 Nd50ad931ab48459792b752efad1e8ff3
25 sg:journal.1045337
26 schema:keywords Hit Discovery
27 RNA
28 RNA interference
29 RNAi screen
30 applications
31 approach
32 assays
33 cell number
34 cell-based assays
35 cell-based screen
36 cell-based screening
37 cells
38 changes
39 classical approach
40 conditions
41 discovery
42 drugs
43 experiments
44 genes
45 good sensitivity
46 hits
47 identification
48 improved performance
49 improved visualization
50 inefficient transfection
51 interference
52 large-scale RNAi screen
53 low cell numbers
54 method
55 model
56 modifiers
57 novel scoring method
58 number
59 patients
60 performance
61 perturbations
62 phenotypic changes
63 phenotypic modifiers
64 primary cells
65 procedure
66 relevant conditions
67 reproducibility
68 robust statistics
69 same gene
70 scores
71 scoring method
72 screen
73 screen hits
74 screening
75 selection
76 selectivity
77 sensitivity
78 simulations
79 statistics
80 sufficient number
81 transfection
82 validation experiments
83 variance model
84 visualization
85 way
86 schema:name Φ-score: A cell-to-cell phenotypic scoring method for sensitive and selective hit discovery in cell-based assays
87 schema:pagination 14221
88 schema:productId N516bd0f39634471386e468e190511432
89 N8e30f7bc31e54f46a16f7d3bec90602c
90 Nc99ef3721f184ae5a9e05a74104833b0
91 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053725659
92 https://doi.org/10.1038/srep14221
93 schema:sdDatePublished 2022-05-20T07:31
94 schema:sdLicense https://scigraph.springernature.com/explorer/license/
95 schema:sdPublisher Nd276ca30cd0447c8af3046ee500b39c1
96 schema:url https://doi.org/10.1038/srep14221
97 sgo:license sg:explorer/license/
98 sgo:sdDataset articles
99 rdf:type schema:ScholarlyArticle
100 N00fb735aa6f1431bbba90a4c79df3d65 schema:affiliation grid-institutes:grid.7429.8
101 schema:familyName Rouillier
102 schema:givenName Philippe
103 rdf:type schema:Person
104 N1a9a9e0fbc6b4002b298e4c20bd2106d rdf:first sg:person.01176423501.05
105 rdf:rest N87cba48948eb4aa0aaa928fbd7a00358
106 N211a8919cd6c44aa80b245aed228c3f9 rdf:first sg:person.01360765301.50
107 rdf:rest N1a9a9e0fbc6b4002b298e4c20bd2106d
108 N41d2a7948a35447687c7db2905214b1d rdf:first sg:person.01041364337.11
109 rdf:rest N8491e775f83a4ec2b90029e7efa8f0b7
110 N4629d05c1bc24fafb058251564b20ad2 schema:issueNumber 1
111 rdf:type schema:PublicationIssue
112 N4af8ff8ba3204585844110f60e7876c0 rdf:first sg:person.0747704221.53
113 rdf:rest Naa295c9f2f4f4e638246a98c7e1227c0
114 N4f667b43285f4039a5c22103fc19a39a rdf:first N8a8764255fe14c8ca65ef6d53e36693f
115 rdf:rest N211a8919cd6c44aa80b245aed228c3f9
116 N516bd0f39634471386e468e190511432 schema:name pubmed_id
117 schema:value 26382112
118 rdf:type schema:PropertyValue
119 N5f1626d42b6545ca96f93f73a3cbc3a7 rdf:first sg:person.01234457561.26
120 rdf:rest N83abae8b25dd487c9aeacb785c8b49a8
121 N83abae8b25dd487c9aeacb785c8b49a8 rdf:first sg:person.01133252362.16
122 rdf:rest Neb845c0fe12347bca214be7105dfc60c
123 N8491e775f83a4ec2b90029e7efa8f0b7 rdf:first N00fb735aa6f1431bbba90a4c79df3d65
124 rdf:rest N4f667b43285f4039a5c22103fc19a39a
125 N8795883cf93341a798f0539370ad489e rdf:first sg:person.01276706561.09
126 rdf:rest N41d2a7948a35447687c7db2905214b1d
127 N87cba48948eb4aa0aaa928fbd7a00358 rdf:first sg:person.01026504662.21
128 rdf:rest Nfc4cce2e048f4a4386ef82c2cf858b10
129 N8a8764255fe14c8ca65ef6d53e36693f schema:affiliation grid-institutes:grid.7429.8
130 schema:familyName Mary
131 schema:givenName Mélissa
132 rdf:type schema:Person
133 N8e30f7bc31e54f46a16f7d3bec90602c schema:name doi
134 schema:value 10.1038/srep14221
135 rdf:type schema:PropertyValue
136 N8ef0840cd7c840738001441606b894d6 rdf:first sg:person.01055174765.41
137 rdf:rest N8795883cf93341a798f0539370ad489e
138 Naa295c9f2f4f4e638246a98c7e1227c0 rdf:first sg:person.01130310301.78
139 rdf:rest N8ef0840cd7c840738001441606b894d6
140 Nc99ef3721f184ae5a9e05a74104833b0 schema:name dimensions_id
141 schema:value pub.1053725659
142 rdf:type schema:PropertyValue
143 Nd276ca30cd0447c8af3046ee500b39c1 schema:name Springer Nature - SN SciGraph project
144 rdf:type schema:Organization
145 Nd50ad931ab48459792b752efad1e8ff3 schema:volumeNumber 5
146 rdf:type schema:PublicationVolume
147 Neb845c0fe12347bca214be7105dfc60c rdf:first sg:person.01353457744.44
148 rdf:rest N4af8ff8ba3204585844110f60e7876c0
149 Nfc4cce2e048f4a4386ef82c2cf858b10 rdf:first sg:person.0767110013.03
150 rdf:rest rdf:nil
151 anzsrc-for:06 schema:inDefinedTermSet anzsrc-for:
152 schema:name Biological Sciences
153 rdf:type schema:DefinedTerm
154 anzsrc-for:0604 schema:inDefinedTermSet anzsrc-for:
155 schema:name Genetics
156 rdf:type schema:DefinedTerm
157 sg:journal.1045337 schema:issn 2045-2322
158 schema:name Scientific Reports
159 schema:publisher Springer Nature
160 rdf:type schema:Periodical
161 sg:person.01026504662.21 schema:affiliation grid-institutes:grid.7429.8
162 schema:familyName Vert
163 schema:givenName Jean-Philippe
164 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01026504662.21
165 rdf:type schema:Person
166 sg:person.01041364337.11 schema:affiliation grid-institutes:grid.5842.b
167 schema:familyName Radicella
168 schema:givenName J. Pablo
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01041364337.11
170 rdf:type schema:Person
171 sg:person.01055174765.41 schema:affiliation grid-institutes:grid.457334.2
172 schema:familyName Pinna
173 schema:givenName Guillaume
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01055174765.41
175 rdf:type schema:Person
176 sg:person.01130310301.78 schema:affiliation grid-institutes:grid.7429.8
177 schema:familyName Sulpice
178 schema:givenName Eric
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01130310301.78
180 rdf:type schema:Person
181 sg:person.01133252362.16 schema:affiliation grid-institutes:grid.7429.8
182 schema:familyName Lajaunie
183 schema:givenName Christian
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01133252362.16
185 rdf:type schema:Person
186 sg:person.01176423501.05 schema:affiliation grid-institutes:grid.7429.8
187 schema:familyName Obeid
188 schema:givenName Patricia
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01176423501.05
190 rdf:type schema:Person
191 sg:person.01234457561.26 schema:affiliation grid-institutes:grid.7429.8
192 schema:familyName Guyon
193 schema:givenName Laurent
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01234457561.26
195 rdf:type schema:Person
196 sg:person.01276706561.09 schema:affiliation grid-institutes:grid.5842.b
197 schema:familyName Campalans
198 schema:givenName Anna
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01276706561.09
200 rdf:type schema:Person
201 sg:person.01353457744.44 schema:affiliation grid-institutes:grid.7429.8
202 schema:familyName Fer
203 schema:givenName Frédéric
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01353457744.44
205 rdf:type schema:Person
206 sg:person.01360765301.50 schema:affiliation grid-institutes:grid.7429.8
207 schema:familyName Combe
208 schema:givenName Stéphanie
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01360765301.50
210 rdf:type schema:Person
211 sg:person.0747704221.53 schema:affiliation grid-institutes:grid.7429.8
212 schema:familyName Bhajun
213 schema:givenName Ricky
214 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0747704221.53
215 rdf:type schema:Person
216 sg:person.0767110013.03 schema:affiliation grid-institutes:grid.7429.8
217 schema:familyName Gidrol
218 schema:givenName Xavier
219 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0767110013.03
220 rdf:type schema:Person
221 sg:pub.10.1007/978-1-61779-965-5_1 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042965425
222 https://doi.org/10.1007/978-1-61779-965-5_1
223 rdf:type schema:CreativeWork
224 sg:pub.10.1038/nature08779 schema:sameAs https://app.dimensions.ai/details/publication/pub.1028684344
225 https://doi.org/10.1038/nature08779
226 rdf:type schema:CreativeWork
227 sg:pub.10.1038/nature12229 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017047211
228 https://doi.org/10.1038/nature12229
229 rdf:type schema:CreativeWork
230 sg:pub.10.1038/nature12748 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047241961
231 https://doi.org/10.1038/nature12748
232 rdf:type schema:CreativeWork
233 sg:pub.10.1038/nbt1186 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023338227
234 https://doi.org/10.1038/nbt1186
235 rdf:type schema:CreativeWork
236 sg:pub.10.1038/ng1033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026723563
237 https://doi.org/10.1038/ng1033
238 rdf:type schema:CreativeWork
239 sg:pub.10.1038/nmeth.1351 schema:sameAs https://app.dimensions.ai/details/publication/pub.1046739948
240 https://doi.org/10.1038/nmeth.1351
241 rdf:type schema:CreativeWork
242 sg:pub.10.1038/nmeth.1898 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015009843
243 https://doi.org/10.1038/nmeth.1898
244 rdf:type schema:CreativeWork
245 sg:pub.10.1038/nmeth.2436 schema:sameAs https://app.dimensions.ai/details/publication/pub.1032925646
246 https://doi.org/10.1038/nmeth.2436
247 rdf:type schema:CreativeWork
248 sg:pub.10.1038/nmeth.2733 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021868308
249 https://doi.org/10.1038/nmeth.2733
250 rdf:type schema:CreativeWork
251 sg:pub.10.1038/nmeth1006-777 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043298132
252 https://doi.org/10.1038/nmeth1006-777
253 rdf:type schema:CreativeWork
254 sg:pub.10.1038/nmeth1089 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003969366
255 https://doi.org/10.1038/nmeth1089
256 rdf:type schema:CreativeWork
257 sg:pub.10.1186/1471-2105-12-485 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003457461
258 https://doi.org/10.1186/1471-2105-12-485
259 rdf:type schema:CreativeWork
260 grid-institutes:grid.457334.2 schema:alternateName Plateforme ARN interférence (PArI) CEA SACLAY, DSV/IBITEC-S/SBIGEM/UMR 9198, F-91191, Gif-sur-Yvette
261 schema:name Plateforme ARN interférence (PArI) CEA SACLAY, DSV/IBITEC-S/SBIGEM/UMR 9198, F-91191, Gif-sur-Yvette
262 rdf:type schema:Organization
263 grid-institutes:grid.5842.b schema:alternateName Université Paris Sud, U967, F-92265, Fontenay-aux-Roses, France
264 schema:name CEA, Institute of Molecular and Cellular Radiobiology, F-92265, Fontenay aux Roses, France
265 INSERM, U967, F-92265, Fontenay-aux-Roses, France
266 Université Paris Diderot, U967, F-92265, Fontenay-aux-Roses, France
267 Université Paris Sud, U967, F-92265, Fontenay-aux-Roses, France
268 rdf:type schema:Organization
269 grid-institutes:grid.7429.8 schema:alternateName INSERM, U1038, F-38054, Grenoble, France
270 INSERM, U900, F-75248, Paris, France
271 schema:name CEA, iRTSV, Biologie à Grande Echelle, F-38054, Grenoble, France
272 INSERM, U1038, F-38054, Grenoble, France
273 INSERM, U900, F-75248, Paris, France
274 Institut Curie, F-75248, Paris, France
275 MINES ParisTech, PSL-Research University, CBIO-Centre for Computational Biology, F-77300, Fontainebleau, France
276 Université Grenoble-Alpes, F-38000, Grenoble, France
277 rdf:type schema:Organization
 




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


...