Recombinant human B cell repertoires enable screening for rare, specific, and natively paired antibodies View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2018-12

AUTHORS

Saravanan Rajan, Michael R. Kierny, Andrew Mercer, Jincheng Wu, Andrey Tovchigrechko, Herren Wu, William F. Dall′Acqua, Xiaodong Xiao, Partha S. Chowdhury

ABSTRACT

The human antibody repertoire is increasingly being recognized as a valuable source of therapeutic grade antibodies. However, methods for mining primary antibody-expressing B cells are limited in their ability to rapidly isolate rare and antigen-specific binders. Here we show the encapsulation of two million primary B cells into picoliter-sized droplets, where their cognate V genes are fused in-frame to form a library of scFv cassettes. We used this approach to construct natively paired phage-display libraries from healthy donors and drove selection towards cross-reactive antibodies targeting influenza hemagglutinin. Within 4 weeks we progressed from B cell isolation to a panel of unique monoclonal antibodies, including seven that displayed broad reactivity to different clinically relevant influenza hemagglutinin subtypes. Most isolated antibody sequences were not detected by next-generation sequencing of the paired repertoire, illustrating how this method can isolate extremely rare leads not likely found by existing technologies. More... »

PAGES

5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/s42003-017-0006-2

DOI

http://dx.doi.org/10.1038/s42003-017-0006-2

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1100427084

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30271892


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/2008/1107", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Immunology", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "AstraZeneca (United States)", 
          "id": "https://www.grid.ac/institutes/grid.418152.b", 
          "name": [
            "Antibody Discovery and Protein Engineering, MedImmune, 20878, Gaithersburg, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rajan", 
        "givenName": "Saravanan", 
        "id": "sg:person.014470372355.92", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014470372355.92"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "AstraZeneca (United States)", 
          "id": "https://www.grid.ac/institutes/grid.418152.b", 
          "name": [
            "Antibody Discovery and Protein Engineering, MedImmune, 20878, Gaithersburg, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kierny", 
        "givenName": "Michael R.", 
        "id": "sg:person.0750537751.58", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750537751.58"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Regenxbio (United States)", 
          "id": "https://www.grid.ac/institutes/grid.497881.b", 
          "name": [
            "Antibody Discovery and Protein Engineering, MedImmune, 20878, Gaithersburg, MD, USA", 
            "RegenxBio Inc, 20850, Rockville, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mercer", 
        "givenName": "Andrew", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "AstraZeneca (United States)", 
          "id": "https://www.grid.ac/institutes/grid.418152.b", 
          "name": [
            "Research Bioinformatics, MedImmune, 20878, Gaithersburg, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Jincheng", 
        "id": "sg:person.013075431355.85", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013075431355.85"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "AstraZeneca (United States)", 
          "id": "https://www.grid.ac/institutes/grid.418152.b", 
          "name": [
            "Research Bioinformatics, MedImmune, 20878, Gaithersburg, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tovchigrechko", 
        "givenName": "Andrey", 
        "id": "sg:person.011533571247.09", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011533571247.09"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "AstraZeneca (United States)", 
          "id": "https://www.grid.ac/institutes/grid.418152.b", 
          "name": [
            "Antibody Discovery and Protein Engineering, MedImmune, 20878, Gaithersburg, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Wu", 
        "givenName": "Herren", 
        "id": "sg:person.01175355504.29", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175355504.29"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "AstraZeneca (United States)", 
          "id": "https://www.grid.ac/institutes/grid.418152.b", 
          "name": [
            "Antibody Discovery and Protein Engineering, MedImmune, 20878, Gaithersburg, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dall\u2032Acqua", 
        "givenName": "William F.", 
        "id": "sg:person.0723251074.34", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723251074.34"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Bristol-Myers Squibb (United States)", 
          "id": "https://www.grid.ac/institutes/grid.419971.3", 
          "name": [
            "Antibody Discovery and Protein Engineering, MedImmune, 20878, Gaithersburg, MD, USA", 
            "Bristol-Myers Squibb, 94063, Redwood City, CA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Xiao", 
        "givenName": "Xiaodong", 
        "id": "sg:person.0675260434.36", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675260434.36"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sanofi (United States)", 
          "id": "https://www.grid.ac/institutes/grid.417555.7", 
          "name": [
            "Antibody Discovery and Protein Engineering, MedImmune, 20878, Gaithersburg, MD, USA", 
            "Sanofi-Genzyme R&D Center, 01701, Framingham, MA, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chowdhury", 
        "givenName": "Partha S.", 
        "id": "sg:person.0612030732.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612030732.63"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.1084/jem.20121486", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003232610"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2016.04.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003843321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.celrep.2016.04.038", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1003843321"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0140691", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1004134905"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2015.05.002", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006029874"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkt382", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006394353"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0062961", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1011797603"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/protein/gzs060", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013403535"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt.2492", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1013573536", 
          "https://doi.org/10.1038/nbt.2492"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/19420862.2016.1190059", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014217074"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nm.2656", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014242227", 
          "https://doi.org/10.1038/nm.2656"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gks596", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1014785724"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jvi.03562-13", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1016794133"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nri3285", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1017649879", 
          "https://doi.org/10.1038/nri3285"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.nbt.2011.03.014", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1021568018"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jim.2008.04.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022506538"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt0396-309", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022704505", 
          "https://doi.org/10.1038/nbt0396-309"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/19420862.2016.1170263", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1024238454"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jvi.01809-09", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025980525"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/eji.200839129", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1026288049"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1007/978-1-4939-2748-7_6", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027863547", 
          "https://doi.org/10.1007/978-1-4939-2748-7_6"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.cell.2016.05.073", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1031174799"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature13764", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034285197", 
          "https://doi.org/10.1038/nature13764"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nature16450", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034531614", 
          "https://doi.org/10.1038/nature16450"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.molimm.2014.01.013", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036945892"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.1019446108", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1041805920"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.it.2015.09.006", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1042031479"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1205669", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043045872"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nm.3743", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048497510", 
          "https://doi.org/10.1038/nm.3743"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/bioinformatics/btm091", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048513445"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/srep13926", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048558183", 
          "https://doi.org/10.1038/srep13926"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1222908", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048660627"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/nar/gkn838", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049641848"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1586/14760584.2015.1082427", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1051920957"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052345616", 
          "https://doi.org/10.1038/nbt1070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nbt1070", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052345616", 
          "https://doi.org/10.1038/nbt1070"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1038/nprot.2016.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052976336", 
          "https://doi.org/10.1038/nprot.2016.024"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1126/science.1207532", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1062464802"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1615/critrevimmunol.2016016462", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068131576"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4161/19420862.2015.989042", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1072288707"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1002/j.1460-2075.1994.tb06626.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1082624346"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1080/19420862.2017.1337617", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1086037381"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2018-12", 
    "datePublishedReg": "2018-12-01", 
    "description": "The human antibody repertoire is increasingly being recognized as a valuable source of therapeutic grade antibodies. However, methods for mining primary antibody-expressing B cells are limited in their ability to rapidly isolate rare and antigen-specific binders. Here we show the encapsulation of two million primary B cells into picoliter-sized droplets, where their cognate V genes are fused in-frame to form a library of scFv cassettes. We used this approach to construct natively paired phage-display libraries from healthy donors and drove selection towards cross-reactive antibodies targeting influenza hemagglutinin. Within 4 weeks we progressed from B cell isolation to a panel of unique monoclonal antibodies, including seven that displayed broad reactivity to different clinically relevant influenza hemagglutinin subtypes. Most isolated antibody sequences were not detected by next-generation sequencing of the paired repertoire, illustrating how this method can isolate extremely rare leads not likely found by existing technologies.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1038/s42003-017-0006-2", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.4413571", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1300829", 
        "issn": [
          "2399-3642"
        ], 
        "name": "Communications Biology", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "1"
      }
    ], 
    "name": "Recombinant human B cell repertoires enable screening for rare, specific, and natively paired antibodies", 
    "pagination": "5", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "70397199ea124d2e667325d1a7133465720eb02ecd4e0d5449b28646a1fdf8df"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30271892"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101719179"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1038/s42003-017-0006-2"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1100427084"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1038/s42003-017-0006-2", 
      "https://app.dimensions.ai/details/publication/pub.1100427084"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T14:16", 
    "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/v90/0000000001_0000000264/records_8660_00000548.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://www.nature.com/articles/s42003-017-0006-2"
  }
]
 

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/s42003-017-0006-2'

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/s42003-017-0006-2'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1038/s42003-017-0006-2'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1038/s42003-017-0006-2'


 

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

269 TRIPLES      21 PREDICATES      69 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1038/s42003-017-0006-2 schema:about anzsrc-for:11
2 anzsrc-for:1107
3 schema:author Nfdf476e8411a45088a7b5448645d3a06
4 schema:citation sg:pub.10.1007/978-1-4939-2748-7_6
5 sg:pub.10.1038/nature13764
6 sg:pub.10.1038/nature16450
7 sg:pub.10.1038/nbt.2492
8 sg:pub.10.1038/nbt0396-309
9 sg:pub.10.1038/nbt1070
10 sg:pub.10.1038/nm.2656
11 sg:pub.10.1038/nm.3743
12 sg:pub.10.1038/nprot.2016.024
13 sg:pub.10.1038/nri3285
14 sg:pub.10.1038/srep13926
15 https://doi.org/10.1002/eji.200839129
16 https://doi.org/10.1002/j.1460-2075.1994.tb06626.x
17 https://doi.org/10.1016/j.cell.2015.05.002
18 https://doi.org/10.1016/j.cell.2016.05.073
19 https://doi.org/10.1016/j.celrep.2016.04.038
20 https://doi.org/10.1016/j.it.2015.09.006
21 https://doi.org/10.1016/j.jim.2008.04.008
22 https://doi.org/10.1016/j.molimm.2014.01.013
23 https://doi.org/10.1016/j.nbt.2011.03.014
24 https://doi.org/10.1073/pnas.1019446108
25 https://doi.org/10.1080/19420862.2016.1170263
26 https://doi.org/10.1080/19420862.2016.1190059
27 https://doi.org/10.1080/19420862.2017.1337617
28 https://doi.org/10.1084/jem.20121486
29 https://doi.org/10.1093/bioinformatics/btm091
30 https://doi.org/10.1093/nar/gkn838
31 https://doi.org/10.1093/nar/gks596
32 https://doi.org/10.1093/nar/gkt382
33 https://doi.org/10.1093/protein/gzs060
34 https://doi.org/10.1126/science.1205669
35 https://doi.org/10.1126/science.1207532
36 https://doi.org/10.1126/science.1222908
37 https://doi.org/10.1128/jvi.01809-09
38 https://doi.org/10.1128/jvi.03562-13
39 https://doi.org/10.1371/journal.pone.0062961
40 https://doi.org/10.1371/journal.pone.0140691
41 https://doi.org/10.1586/14760584.2015.1082427
42 https://doi.org/10.1615/critrevimmunol.2016016462
43 https://doi.org/10.4161/19420862.2015.989042
44 schema:datePublished 2018-12
45 schema:datePublishedReg 2018-12-01
46 schema:description The human antibody repertoire is increasingly being recognized as a valuable source of therapeutic grade antibodies. However, methods for mining primary antibody-expressing B cells are limited in their ability to rapidly isolate rare and antigen-specific binders. Here we show the encapsulation of two million primary B cells into picoliter-sized droplets, where their cognate V genes are fused in-frame to form a library of scFv cassettes. We used this approach to construct natively paired phage-display libraries from healthy donors and drove selection towards cross-reactive antibodies targeting influenza hemagglutinin. Within 4 weeks we progressed from B cell isolation to a panel of unique monoclonal antibodies, including seven that displayed broad reactivity to different clinically relevant influenza hemagglutinin subtypes. Most isolated antibody sequences were not detected by next-generation sequencing of the paired repertoire, illustrating how this method can isolate extremely rare leads not likely found by existing technologies.
47 schema:genre research_article
48 schema:inLanguage en
49 schema:isAccessibleForFree true
50 schema:isPartOf N20430bbacd384fbeb1aa3f60e18e8a52
51 Ned7a8770f60a4ab1911841ed4b0e3406
52 sg:journal.1300829
53 schema:name Recombinant human B cell repertoires enable screening for rare, specific, and natively paired antibodies
54 schema:pagination 5
55 schema:productId N29ef70d7815244f2a3aadb9a2b30d491
56 N3b2af4734932449d887cae50320a112f
57 N42dc1cf3cfdb49d68a968a010c4fc826
58 N5bc1e0d3819f4dc598a7410755597abe
59 Nde205def72d7410d847f195bac3940a5
60 schema:sameAs https://app.dimensions.ai/details/publication/pub.1100427084
61 https://doi.org/10.1038/s42003-017-0006-2
62 schema:sdDatePublished 2019-04-10T14:16
63 schema:sdLicense https://scigraph.springernature.com/explorer/license/
64 schema:sdPublisher N281bb363722444f09d625bae8dcd5823
65 schema:url https://www.nature.com/articles/s42003-017-0006-2
66 sgo:license sg:explorer/license/
67 sgo:sdDataset articles
68 rdf:type schema:ScholarlyArticle
69 N20430bbacd384fbeb1aa3f60e18e8a52 schema:issueNumber 1
70 rdf:type schema:PublicationIssue
71 N281bb363722444f09d625bae8dcd5823 schema:name Springer Nature - SN SciGraph project
72 rdf:type schema:Organization
73 N29ef70d7815244f2a3aadb9a2b30d491 schema:name nlm_unique_id
74 schema:value 101719179
75 rdf:type schema:PropertyValue
76 N3b2af4734932449d887cae50320a112f schema:name readcube_id
77 schema:value 70397199ea124d2e667325d1a7133465720eb02ecd4e0d5449b28646a1fdf8df
78 rdf:type schema:PropertyValue
79 N42dc1cf3cfdb49d68a968a010c4fc826 schema:name doi
80 schema:value 10.1038/s42003-017-0006-2
81 rdf:type schema:PropertyValue
82 N44b40072be4e4171ae5048ede3e61c88 rdf:first sg:person.0723251074.34
83 rdf:rest Na7ba323626ff4f2e993c4c43cbecb6a8
84 N4a32853d0c4148fc910940a1f114aa92 rdf:first sg:person.013075431355.85
85 rdf:rest Nba96dc8cafff402ea8c64662b4f67334
86 N5bc1e0d3819f4dc598a7410755597abe schema:name dimensions_id
87 schema:value pub.1100427084
88 rdf:type schema:PropertyValue
89 N5eb60b5d934b49ce902dc134daaf3456 rdf:first N671ac448d02b43798f39585dfb72f48f
90 rdf:rest N4a32853d0c4148fc910940a1f114aa92
91 N671ac448d02b43798f39585dfb72f48f schema:affiliation https://www.grid.ac/institutes/grid.497881.b
92 schema:familyName Mercer
93 schema:givenName Andrew
94 rdf:type schema:Person
95 N808329faa21d4a51a09978182920ae21 rdf:first sg:person.0750537751.58
96 rdf:rest N5eb60b5d934b49ce902dc134daaf3456
97 N8a9ace2e208e4679909b17b38db56c4d rdf:first sg:person.0612030732.63
98 rdf:rest rdf:nil
99 Na7ba323626ff4f2e993c4c43cbecb6a8 rdf:first sg:person.0675260434.36
100 rdf:rest N8a9ace2e208e4679909b17b38db56c4d
101 Nba96dc8cafff402ea8c64662b4f67334 rdf:first sg:person.011533571247.09
102 rdf:rest Nbc6b8b0728d94c709c41d8ae26420e88
103 Nbc6b8b0728d94c709c41d8ae26420e88 rdf:first sg:person.01175355504.29
104 rdf:rest N44b40072be4e4171ae5048ede3e61c88
105 Nde205def72d7410d847f195bac3940a5 schema:name pubmed_id
106 schema:value 30271892
107 rdf:type schema:PropertyValue
108 Ned7a8770f60a4ab1911841ed4b0e3406 schema:volumeNumber 1
109 rdf:type schema:PublicationVolume
110 Nfdf476e8411a45088a7b5448645d3a06 rdf:first sg:person.014470372355.92
111 rdf:rest N808329faa21d4a51a09978182920ae21
112 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
113 schema:name Medical and Health Sciences
114 rdf:type schema:DefinedTerm
115 anzsrc-for:1107 schema:inDefinedTermSet anzsrc-for:
116 schema:name Immunology
117 rdf:type schema:DefinedTerm
118 sg:grant.4413571 http://pending.schema.org/fundedItem sg:pub.10.1038/s42003-017-0006-2
119 rdf:type schema:MonetaryGrant
120 sg:journal.1300829 schema:issn 2399-3642
121 schema:name Communications Biology
122 rdf:type schema:Periodical
123 sg:person.011533571247.09 schema:affiliation https://www.grid.ac/institutes/grid.418152.b
124 schema:familyName Tovchigrechko
125 schema:givenName Andrey
126 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011533571247.09
127 rdf:type schema:Person
128 sg:person.01175355504.29 schema:affiliation https://www.grid.ac/institutes/grid.418152.b
129 schema:familyName Wu
130 schema:givenName Herren
131 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01175355504.29
132 rdf:type schema:Person
133 sg:person.013075431355.85 schema:affiliation https://www.grid.ac/institutes/grid.418152.b
134 schema:familyName Wu
135 schema:givenName Jincheng
136 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013075431355.85
137 rdf:type schema:Person
138 sg:person.014470372355.92 schema:affiliation https://www.grid.ac/institutes/grid.418152.b
139 schema:familyName Rajan
140 schema:givenName Saravanan
141 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014470372355.92
142 rdf:type schema:Person
143 sg:person.0612030732.63 schema:affiliation https://www.grid.ac/institutes/grid.417555.7
144 schema:familyName Chowdhury
145 schema:givenName Partha S.
146 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0612030732.63
147 rdf:type schema:Person
148 sg:person.0675260434.36 schema:affiliation https://www.grid.ac/institutes/grid.419971.3
149 schema:familyName Xiao
150 schema:givenName Xiaodong
151 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0675260434.36
152 rdf:type schema:Person
153 sg:person.0723251074.34 schema:affiliation https://www.grid.ac/institutes/grid.418152.b
154 schema:familyName Dall′Acqua
155 schema:givenName William F.
156 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0723251074.34
157 rdf:type schema:Person
158 sg:person.0750537751.58 schema:affiliation https://www.grid.ac/institutes/grid.418152.b
159 schema:familyName Kierny
160 schema:givenName Michael R.
161 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0750537751.58
162 rdf:type schema:Person
163 sg:pub.10.1007/978-1-4939-2748-7_6 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027863547
164 https://doi.org/10.1007/978-1-4939-2748-7_6
165 rdf:type schema:CreativeWork
166 sg:pub.10.1038/nature13764 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034285197
167 https://doi.org/10.1038/nature13764
168 rdf:type schema:CreativeWork
169 sg:pub.10.1038/nature16450 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034531614
170 https://doi.org/10.1038/nature16450
171 rdf:type schema:CreativeWork
172 sg:pub.10.1038/nbt.2492 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013573536
173 https://doi.org/10.1038/nbt.2492
174 rdf:type schema:CreativeWork
175 sg:pub.10.1038/nbt0396-309 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022704505
176 https://doi.org/10.1038/nbt0396-309
177 rdf:type schema:CreativeWork
178 sg:pub.10.1038/nbt1070 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052345616
179 https://doi.org/10.1038/nbt1070
180 rdf:type schema:CreativeWork
181 sg:pub.10.1038/nm.2656 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014242227
182 https://doi.org/10.1038/nm.2656
183 rdf:type schema:CreativeWork
184 sg:pub.10.1038/nm.3743 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048497510
185 https://doi.org/10.1038/nm.3743
186 rdf:type schema:CreativeWork
187 sg:pub.10.1038/nprot.2016.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052976336
188 https://doi.org/10.1038/nprot.2016.024
189 rdf:type schema:CreativeWork
190 sg:pub.10.1038/nri3285 schema:sameAs https://app.dimensions.ai/details/publication/pub.1017649879
191 https://doi.org/10.1038/nri3285
192 rdf:type schema:CreativeWork
193 sg:pub.10.1038/srep13926 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048558183
194 https://doi.org/10.1038/srep13926
195 rdf:type schema:CreativeWork
196 https://doi.org/10.1002/eji.200839129 schema:sameAs https://app.dimensions.ai/details/publication/pub.1026288049
197 rdf:type schema:CreativeWork
198 https://doi.org/10.1002/j.1460-2075.1994.tb06626.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1082624346
199 rdf:type schema:CreativeWork
200 https://doi.org/10.1016/j.cell.2015.05.002 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006029874
201 rdf:type schema:CreativeWork
202 https://doi.org/10.1016/j.cell.2016.05.073 schema:sameAs https://app.dimensions.ai/details/publication/pub.1031174799
203 rdf:type schema:CreativeWork
204 https://doi.org/10.1016/j.celrep.2016.04.038 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003843321
205 rdf:type schema:CreativeWork
206 https://doi.org/10.1016/j.it.2015.09.006 schema:sameAs https://app.dimensions.ai/details/publication/pub.1042031479
207 rdf:type schema:CreativeWork
208 https://doi.org/10.1016/j.jim.2008.04.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022506538
209 rdf:type schema:CreativeWork
210 https://doi.org/10.1016/j.molimm.2014.01.013 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036945892
211 rdf:type schema:CreativeWork
212 https://doi.org/10.1016/j.nbt.2011.03.014 schema:sameAs https://app.dimensions.ai/details/publication/pub.1021568018
213 rdf:type schema:CreativeWork
214 https://doi.org/10.1073/pnas.1019446108 schema:sameAs https://app.dimensions.ai/details/publication/pub.1041805920
215 rdf:type schema:CreativeWork
216 https://doi.org/10.1080/19420862.2016.1170263 schema:sameAs https://app.dimensions.ai/details/publication/pub.1024238454
217 rdf:type schema:CreativeWork
218 https://doi.org/10.1080/19420862.2016.1190059 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014217074
219 rdf:type schema:CreativeWork
220 https://doi.org/10.1080/19420862.2017.1337617 schema:sameAs https://app.dimensions.ai/details/publication/pub.1086037381
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1084/jem.20121486 schema:sameAs https://app.dimensions.ai/details/publication/pub.1003232610
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1093/bioinformatics/btm091 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048513445
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1093/nar/gkn838 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049641848
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1093/nar/gks596 schema:sameAs https://app.dimensions.ai/details/publication/pub.1014785724
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1093/nar/gkt382 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006394353
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1093/protein/gzs060 schema:sameAs https://app.dimensions.ai/details/publication/pub.1013403535
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1126/science.1205669 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043045872
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1126/science.1207532 schema:sameAs https://app.dimensions.ai/details/publication/pub.1062464802
237 rdf:type schema:CreativeWork
238 https://doi.org/10.1126/science.1222908 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048660627
239 rdf:type schema:CreativeWork
240 https://doi.org/10.1128/jvi.01809-09 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025980525
241 rdf:type schema:CreativeWork
242 https://doi.org/10.1128/jvi.03562-13 schema:sameAs https://app.dimensions.ai/details/publication/pub.1016794133
243 rdf:type schema:CreativeWork
244 https://doi.org/10.1371/journal.pone.0062961 schema:sameAs https://app.dimensions.ai/details/publication/pub.1011797603
245 rdf:type schema:CreativeWork
246 https://doi.org/10.1371/journal.pone.0140691 schema:sameAs https://app.dimensions.ai/details/publication/pub.1004134905
247 rdf:type schema:CreativeWork
248 https://doi.org/10.1586/14760584.2015.1082427 schema:sameAs https://app.dimensions.ai/details/publication/pub.1051920957
249 rdf:type schema:CreativeWork
250 https://doi.org/10.1615/critrevimmunol.2016016462 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068131576
251 rdf:type schema:CreativeWork
252 https://doi.org/10.4161/19420862.2015.989042 schema:sameAs https://app.dimensions.ai/details/publication/pub.1072288707
253 rdf:type schema:CreativeWork
254 https://www.grid.ac/institutes/grid.417555.7 schema:alternateName Sanofi (United States)
255 schema:name Antibody Discovery and Protein Engineering, MedImmune, 20878, Gaithersburg, MD, USA
256 Sanofi-Genzyme R&D Center, 01701, Framingham, MA, USA
257 rdf:type schema:Organization
258 https://www.grid.ac/institutes/grid.418152.b schema:alternateName AstraZeneca (United States)
259 schema:name Antibody Discovery and Protein Engineering, MedImmune, 20878, Gaithersburg, MD, USA
260 Research Bioinformatics, MedImmune, 20878, Gaithersburg, MD, USA
261 rdf:type schema:Organization
262 https://www.grid.ac/institutes/grid.419971.3 schema:alternateName Bristol-Myers Squibb (United States)
263 schema:name Antibody Discovery and Protein Engineering, MedImmune, 20878, Gaithersburg, MD, USA
264 Bristol-Myers Squibb, 94063, Redwood City, CA, USA
265 rdf:type schema:Organization
266 https://www.grid.ac/institutes/grid.497881.b schema:alternateName Regenxbio (United States)
267 schema:name Antibody Discovery and Protein Engineering, MedImmune, 20878, Gaithersburg, MD, USA
268 RegenxBio Inc, 20850, Rockville, MD, USA
269 rdf:type schema:Organization
 




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


...