Commonality despite exceptional diversity in the baseline human antibody repertoire

In principle, humans can produce an antibody response to any non-self-antigen molecule in the appropriate context. This flexibility is achieved by the presence of a large repertoire of naive antibodies, the diversity of which is expanded by somatic hypermutation following antigen exposure 1 . The di...

Full description

Saved in:
Bibliographic Details
Published inNature (London) Vol. 566; no. 7744; pp. 393 - 397
Main Authors Briney, Bryan, Inderbitzin, Anne, Joyce, Collin, Burton, Dennis R.
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 01.02.2019
Nature Publishing Group
Subjects
Online AccessGet full text

Cover

Loading…
Abstract In principle, humans can produce an antibody response to any non-self-antigen molecule in the appropriate context. This flexibility is achieved by the presence of a large repertoire of naive antibodies, the diversity of which is expanded by somatic hypermutation following antigen exposure 1 . The diversity of the naive antibody repertoire in humans is estimated to be at least 10 12 unique antibodies 2 . Because the number of peripheral blood B cells in a healthy adult human is on the order of 5 × 10 9 , the circulating B cell population samples only a small fraction of this diversity. Full-scale analyses of human antibody repertoires have been prohibitively difficult, primarily owing to their massive size. The amount of information encoded by all of the rearranged antibody and T cell receptor genes in one person—the ‘genome’ of the adaptive immune system—exceeds the size of the human genome by more than four orders of magnitude. Furthermore, because much of the B lymphocyte population is localized in organs or tissues that cannot be comprehensively sampled from living subjects, human repertoire studies have focused on circulating B cells 3 . Here we examine the circulating B cell populations of ten human subjects and present what is, to our knowledge, the largest single collection of adaptive immune receptor sequences described to date, comprising almost 3 billion antibody heavy-chain sequences. This dataset enables genetic study of the baseline human antibody repertoire at an unprecedented depth and granularity, which reveals largely unique repertoires for each individual studied, a subpopulation of universally shared antibody clonotypes, and an exceptional overall diversity of the antibody repertoire. A genetic study of the baseline human antibody repertoire, based on the circulating B cell populations of ten subjects, reveals universally shared antibody clonotypes within repertoires that are largely unique to the individual.
AbstractList In principle, humans can produce an antibody response to any non-self-antigen molecule in the appropriate context. This flexibility is achieved by the presence of a large repertoire of naive antibodies, the diversity of which is expanded by somatic hypermutation following antigen exposure1. The diversity of the naive antibody repertoire in humans is estimated to be at least 1012 unique antibodies2. Because the number of peripheral blood B cells in a healthy adult human is on the order of 5 × 109, the circulating B cell population samples only a small fraction of this diversity. Full-scale analyses of human antibody repertoires have been prohibitively difficult, primarily owing to their massive size. The amount of information encoded by all of the rearranged antibody and T cell receptor genes in one person-the 'genome' of the adaptive immune system-exceeds the size of the human genome by more than four orders of magnitude. Furthermore, because much of the B lymphocyte population is localized in organs or tissues that cannot be comprehensively sampled from living subjects, human repertoire studies have focused on circulating B cells3. Here we examine the circulating B cell populations of ten human subjects and present what is, to our knowledge, the largest single collection of adaptive immune receptor sequences described to date, comprising almost 3 billion antibody heavy-chain sequences. This dataset enables genetic study of the baseline human antibody repertoire at an unprecedented depth and granularity, which reveals largely unique repertoires for each individual studied, a subpopulation of universally shared antibody clonotypes, and an exceptional overall diversity of the antibody repertoire.In principle, humans can produce an antibody response to any non-self-antigen molecule in the appropriate context. This flexibility is achieved by the presence of a large repertoire of naive antibodies, the diversity of which is expanded by somatic hypermutation following antigen exposure1. The diversity of the naive antibody repertoire in humans is estimated to be at least 1012 unique antibodies2. Because the number of peripheral blood B cells in a healthy adult human is on the order of 5 × 109, the circulating B cell population samples only a small fraction of this diversity. Full-scale analyses of human antibody repertoires have been prohibitively difficult, primarily owing to their massive size. The amount of information encoded by all of the rearranged antibody and T cell receptor genes in one person-the 'genome' of the adaptive immune system-exceeds the size of the human genome by more than four orders of magnitude. Furthermore, because much of the B lymphocyte population is localized in organs or tissues that cannot be comprehensively sampled from living subjects, human repertoire studies have focused on circulating B cells3. Here we examine the circulating B cell populations of ten human subjects and present what is, to our knowledge, the largest single collection of adaptive immune receptor sequences described to date, comprising almost 3 billion antibody heavy-chain sequences. This dataset enables genetic study of the baseline human antibody repertoire at an unprecedented depth and granularity, which reveals largely unique repertoires for each individual studied, a subpopulation of universally shared antibody clonotypes, and an exceptional overall diversity of the antibody repertoire.
In principle, humans can produce an antibody response to any non-self-antigen molecule in the appropriate context. This flexibility is achieved by the presence of a large repertoire of naive antibodies, the diversity of which is expanded by somatic hypermutation following antigen exposure . The diversity of the naive antibody repertoire in humans is estimated to be at least 10 unique antibodies . Because the number of peripheral blood B cells in a healthy adult human is on the order of 5 × 10 , the circulating B cell population samples only a small fraction of this diversity. Full-scale analyses of human antibody repertoires have been prohibitively difficult, primarily owing to their massive size. The amount of information encoded by all of the rearranged antibody and T cell receptor genes in one person-the 'genome' of the adaptive immune system-exceeds the size of the human genome by more than four orders of magnitude. Furthermore, because much of the B lymphocyte population is localized in organs or tissues that cannot be comprehensively sampled from living subjects, human repertoire studies have focused on circulating B cells . Here we examine the circulating B cell populations of ten human subjects and present what is, to our knowledge, the largest single collection of adaptive immune receptor sequences described to date, comprising almost 3 billion antibody heavy-chain sequences. This dataset enables genetic study of the baseline human antibody repertoire at an unprecedented depth and granularity, which reveals largely unique repertoires for each individual studied, a subpopulation of universally shared antibody clonotypes, and an exceptional overall diversity of the antibody repertoire.
In principle, humans can produce an antibody response to any non-self-antigen molecule in the appropriate context. This flexibility is achieved by the presence of a large repertoire of naive antibodies, the diversity of which is expanded by somatic hypermutation following antigen exposure. The diversity of the naive antibody repertoire in humans is estimated to be at least 1012 unique antibodies. Because the number of peripheral blood B cells in a healthy adult human is on the order of 5 × 109, the circulating B cell population samples only a small fraction of this diversity. Full-scale analyses of human antibody repertoires have been prohibitively difficult, primarily owing to their massive size. The amount of information encoded by all of the rearranged antibody and T cell receptor genes in one person-the 'genome' of the adaptive immune system-exceeds the size of the human genome by more than four orders of magnitude. Furthermore, because much of the B lymphocyte population is localized in organs or tissues that cannot be comprehensively sampled from living subjects, human repertoire studies have focused on circulating B cells. Here we examine the circulating B cell populations of ten human subjects and present what is, to our knowledge, the largest single collection of adaptive immune receptor sequences described to date, comprising almost 3 billion antibody heavy-chain sequences. This dataset enables genetic study of the baseline human antibody repertoire at an unprecedented depth and granularity, which reveals largely unique repertoires for each individual studied, a subpopulation of universally shared antibody clonotypes, and an exceptional overall diversity of the antibody repertoire.
In principle, humans can produce an antibody response to any non-self-antigen molecule in the appropriate context. This flexibility is achieved by the presence of a large repertoire of naive antibodies, the diversity of which is expanded by somatic hypermutation following antigen exposure.sup.1. The diversity of the naive antibody repertoire in humans is estimated to be at least 10.sup.12 unique antibodies.sup.2. Because the number of peripheral blood B cells in a healthy adult human is on the order of 5 × 10.sup.9, the circulating B cell population samples only a small fraction of this diversity. Full-scale analyses of human antibody repertoires have been prohibitively difficult, primarily owing to their massive size. The amount of information encoded by all of the rearranged antibody and T cell receptor genes in one person--the 'genome' of the adaptive immune system--exceeds the size of the human genome by more than four orders of magnitude. Furthermore, because much of the B lymphocyte population is localized in organs or tissues that cannot be comprehensively sampled from living subjects, human repertoire studies have focused on circulating B cells.sup.3. Here we examine the circulating B cell populations of ten human subjects and present what is, to our knowledge, the largest single collection of adaptive immune receptor sequences described to date, comprising almost 3 billion antibody heavy-chain sequences. This dataset enables genetic study of the baseline human antibody repertoire at an unprecedented depth and granularity, which reveals largely unique repertoires for each individual studied, a subpopulation of universally shared antibody clonotypes, and an exceptional overall diversity of the antibody repertoire.
In principle, humans can produce an antibody response to any non-self-antigen molecule in the appropriate context. This flexibility is achieved by the presence of a large repertoire of naive antibodies, the diversity of which is expanded by somatic hypermutation following antigen exposure.sup.1. The diversity of the naive antibody repertoire in humans is estimated to be at least 10.sup.12 unique antibodies.sup.2. Because the number of peripheral blood B cells in a healthy adult human is on the order of 5 × 10.sup.9, the circulating B cell population samples only a small fraction of this diversity. Full-scale analyses of human antibody repertoires have been prohibitively difficult, primarily owing to their massive size. The amount of information encoded by all of the rearranged antibody and T cell receptor genes in one person--the 'genome' of the adaptive immune system--exceeds the size of the human genome by more than four orders of magnitude. Furthermore, because much of the B lymphocyte population is localized in organs or tissues that cannot be comprehensively sampled from living subjects, human repertoire studies have focused on circulating B cells.sup.3. Here we examine the circulating B cell populations of ten human subjects and present what is, to our knowledge, the largest single collection of adaptive immune receptor sequences described to date, comprising almost 3 billion antibody heavy-chain sequences. This dataset enables genetic study of the baseline human antibody repertoire at an unprecedented depth and granularity, which reveals largely unique repertoires for each individual studied, a subpopulation of universally shared antibody clonotypes, and an exceptional overall diversity of the antibody repertoire. A genetic study of the baseline human antibody repertoire, based on the circulating B cell populations of ten subjects, reveals universally shared antibody clonotypes within repertoires that are largely unique to the individual.
In principle, humans can produce an antibody response to any non-self-antigen molecule in the appropriate context. This flexibility is achieved by the presence of a large repertoire of naive antibodies, the diversity of which is expanded by somatic hypermutation following antigen exposure 1 . The diversity of the naive antibody repertoire in humans is estimated to be at least 10 12 unique antibodies 2 . Because the number of peripheral blood B cells in a healthy adult human is on the order of 5 × 10 9 , the circulating B cell population samples only a small fraction of this diversity. Full-scale analyses of human antibody repertoires have been prohibitively difficult, primarily owing to their massive size. The amount of information encoded by all of the rearranged antibody and T cell receptor genes in one person—the ‘genome’ of the adaptive immune system—exceeds the size of the human genome by more than four orders of magnitude. Furthermore, because much of the B lymphocyte population is localized in organs or tissues that cannot be comprehensively sampled from living subjects, human repertoire studies have focused on circulating B cells 3 . Here we examine the circulating B cell populations of ten human subjects and present what is, to our knowledge, the largest single collection of adaptive immune receptor sequences described to date, comprising almost 3 billion antibody heavy-chain sequences. This dataset enables genetic study of the baseline human antibody repertoire at an unprecedented depth and granularity, which reveals largely unique repertoires for each individual studied, a subpopulation of universally shared antibody clonotypes, and an exceptional overall diversity of the antibody repertoire. A genetic study of the baseline human antibody repertoire, based on the circulating B cell populations of ten subjects, reveals universally shared antibody clonotypes within repertoires that are largely unique to the individual.
Audience Academic
Author Inderbitzin, Anne
Briney, Bryan
Burton, Dennis R.
Joyce, Collin
AuthorAffiliation 4 IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
2 Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
3 Center for Viral Systems Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
6 Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02129, USA
1 Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
5 Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
AuthorAffiliation_xml – name: 2 Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, La Jolla, CA 92037, USA
– name: 6 Ragon Institute of MGH, MIT, and Harvard, Cambridge, MA 02129, USA
– name: 1 Department of Immunology and Microbiology, The Scripps Research Institute, La Jolla, CA 92037, USA
– name: 5 Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich, 8091 Zurich, Switzerland
– name: 3 Center for Viral Systems Biology, The Scripps Research Institute, La Jolla, CA 92037, USA
– name: 4 IAVI Neutralizing Antibody Center, The Scripps Research Institute, La Jolla, CA 92037, USA
Author_xml – sequence: 1
  givenname: Bryan
  surname: Briney
  fullname: Briney, Bryan
  email: briney@scripps.edu
  organization: Department of Immunology and Microbiology, The Scripps Research Institute, Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, Center for Viral Systems Biology, The Scripps Research Institute, IAVI Neutralizing Antibody Center, The Scripps Research Institute, Human Vaccines Project
– sequence: 2
  givenname: Anne
  surname: Inderbitzin
  fullname: Inderbitzin, Anne
  organization: Department of Immunology and Microbiology, The Scripps Research Institute, Division of Infectious Diseases and Hospital Epidemiology, University Hospital Zurich, University of Zurich
– sequence: 3
  givenname: Collin
  surname: Joyce
  fullname: Joyce, Collin
  organization: Department of Immunology and Microbiology, The Scripps Research Institute, Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, Center for Viral Systems Biology, The Scripps Research Institute, IAVI Neutralizing Antibody Center, The Scripps Research Institute
– sequence: 4
  givenname: Dennis R.
  surname: Burton
  fullname: Burton, Dennis R.
  email: burton@scripps.edu
  organization: Department of Immunology and Microbiology, The Scripps Research Institute, Center for HIV/AIDS Vaccine Immunology and Immunogen Discovery, The Scripps Research Institute, IAVI Neutralizing Antibody Center, The Scripps Research Institute, Human Vaccines Project, Ragon Institute of MGH, MIT and Harvard
BackLink https://www.ncbi.nlm.nih.gov/pubmed/30664748$$D View this record in MEDLINE/PubMed
BookMark eNp9kktr3DAUhU1JaSZpf0A3xbSbluJUsl72pjAMfQRCC01Kl0KW78wo2JIjySHz7yszaZIJk6KFQPc750q65yg7sM5Clr3G6AQjUn0KFLOKFwjXBapEXWyeZTNMBS8or8RBNkOorFKF8MPsKIRLhBDDgr7IDgninApazbLzhet7Z1Vn4iZvIQwmQg43GoZopuO8Ndfgw1Q1No9ryBsVoDMW8vXYK5srG03j2k3uYQAfnfHwMnu-VF2AV7f7cfb765eLxffi7Oe308X8rNCCVLFYag7pbiUnZNk0lRAorbYVra5pIjCudUNKypiquQZWC8ZZSajmmpVIc06Os89b32Fsemg12OhVJwdveuU30ikjdyvWrOXKXUtOMSbVZPD-1sC7qxFClL0JGrpOWXBjkCUWNSV1XVcJffcIvXSjTx80UZVglAlS31Mr1YE0dulSXz2ZyjkTDDFe4okq9lArsJAumSa8NOl4h3-7h9eDuZIPoZM9UFot9Ebvdf2wI0hMhJu4UmMI8vT81y778Wl2fvFn8WOXfvNwLncD-Ze6BOAtoL0LwcPyDsFITsmW22TLlGw5JVtukkY80mgT1RTS9E7T_VdZbpUhdbEr8Peje1r0F6F3CU4
CitedBy_id crossref_primary_10_1021_acs_jafc_2c09180
crossref_primary_10_1016_j_celrep_2022_110485
crossref_primary_10_3389_fimmu_2020_01734
crossref_primary_10_1186_s40364_024_00710_w
crossref_primary_10_4049_jimmunol_2101193
crossref_primary_10_1016_j_immuni_2021_03_023
crossref_primary_10_3389_fimmu_2021_778559
crossref_primary_10_4049_jimmunol_2000496
crossref_primary_10_1016_j_isci_2023_107526
crossref_primary_10_1038_s41586_020_2456_9
crossref_primary_10_1038_s42256_021_00413_z
crossref_primary_10_1093_abt_tbab010
crossref_primary_10_1084_jem_20210236
crossref_primary_10_1080_19420862_2021_1996732
crossref_primary_10_1016_j_jim_2023_113576
crossref_primary_10_1080_19420862_2021_2020082
crossref_primary_10_1073_pnas_2216612120
crossref_primary_10_1111_imr_12861
crossref_primary_10_1126_scitranslmed_abi9215
crossref_primary_10_1371_journal_pcbi_1009675
crossref_primary_10_1016_j_tins_2024_08_004
crossref_primary_10_1134_S0006297922140127
crossref_primary_10_1093_bioadv_vbab021
crossref_primary_10_1097_COH_0000000000000558
crossref_primary_10_1103_PRXLife_1_011001
crossref_primary_10_1126_sciadv_add2032
crossref_primary_10_3389_fimmu_2021_706136
crossref_primary_10_1126_science_abn2688
crossref_primary_10_1038_s41541_023_00788_7
crossref_primary_10_3724_abbs_2022062
crossref_primary_10_1002_cyto_a_24542
crossref_primary_10_1073_pnas_2406474122
crossref_primary_10_3389_fimmu_2019_02365
crossref_primary_10_1016_j_celrep_2020_107882
crossref_primary_10_1080_19420862_2022_2079449
crossref_primary_10_1016_j_coi_2020_06_003
crossref_primary_10_1136_jitc_2021_003887
crossref_primary_10_1038_s41467_023_37926_7
crossref_primary_10_1016_j_bbi_2023_06_020
crossref_primary_10_1093_bib_bbz095
crossref_primary_10_1073_pnas_2113766119
crossref_primary_10_1093_bib_bbac567
crossref_primary_10_1016_j_celrep_2023_112370
crossref_primary_10_1016_j_copbio_2024_103082
crossref_primary_10_1371_journal_ppat_1011416
crossref_primary_10_1002_biot_201900308
crossref_primary_10_1016_j_ijbiomac_2025_140037
crossref_primary_10_3389_fimmu_2021_730471
crossref_primary_10_3389_fimmu_2021_680687
crossref_primary_10_3389_fimmu_2021_668328
crossref_primary_10_1016_j_crmeth_2022_100269
crossref_primary_10_1016_j_ymthe_2021_10_027
crossref_primary_10_1039_C9ME00021F
crossref_primary_10_1080_19420862_2024_2361928
crossref_primary_10_1016_j_immuni_2023_10_007
crossref_primary_10_1016_j_biotechadv_2023_108143
crossref_primary_10_1016_j_celrep_2023_113450
crossref_primary_10_1007_s00253_021_11570_x
crossref_primary_10_1002_bewi_202200022
crossref_primary_10_1136_ard_2023_224779
crossref_primary_10_1038_s41590_024_01833_w
crossref_primary_10_1093_bioadv_vbad109
crossref_primary_10_1111_jvh_13290
crossref_primary_10_1371_journal_ppat_1011401
crossref_primary_10_1038_s44222_023_00101_0
crossref_primary_10_1126_science_adj8321
crossref_primary_10_1126_sciimmunol_abj1181
crossref_primary_10_1016_j_csbj_2020_05_005
crossref_primary_10_1590_0102_311x00128819
crossref_primary_10_1039_C9ME00034H
crossref_primary_10_1038_s41388_021_01811_8
crossref_primary_10_1371_journal_pgen_1009301
crossref_primary_10_1371_journal_pgen_1010652
crossref_primary_10_3389_fimmu_2023_1135841
crossref_primary_10_1002_jmv_29743
crossref_primary_10_1371_journal_pcbi_1009323
crossref_primary_10_1097_COH_0000000000000548
crossref_primary_10_1038_s41467_023_37083_x
crossref_primary_10_2217_imt_2019_0118
crossref_primary_10_1016_j_coi_2019_03_003
crossref_primary_10_1016_j_ymeth_2023_07_003
crossref_primary_10_1016_j_csbj_2023_11_056
crossref_primary_10_1038_s41598_023_38108_7
crossref_primary_10_1039_D3CS00693J
crossref_primary_10_1016_j_celrep_2022_111650
crossref_primary_10_1158_1055_9965_EPI_22_1257
crossref_primary_10_1016_j_celrep_2021_109173
crossref_primary_10_1016_j_csbj_2022_04_036
crossref_primary_10_1038_s42003_020_0931_3
crossref_primary_10_1128_mbio_01206_23
crossref_primary_10_3389_fimmu_2021_708882
crossref_primary_10_1016_j_celrep_2020_108122
crossref_primary_10_1039_D2CS00943A
crossref_primary_10_1080_19420862_2020_1869406
crossref_primary_10_1016_j_ab_2022_114871
crossref_primary_10_1002_jmv_70073
crossref_primary_10_1152_physrev_00040_2021
crossref_primary_10_1016_j_cell_2023_10_028
crossref_primary_10_1016_j_celrep_2020_107831
crossref_primary_10_1039_C9ME00071B
crossref_primary_10_15252_emmm_202012739
crossref_primary_10_1371_journal_pcbi_1008781
crossref_primary_10_1080_22221751_2022_2030197
crossref_primary_10_4110_in_2021_21_e34
crossref_primary_10_4049_jimmunol_2100868
crossref_primary_10_1016_j_coi_2020_03_013
crossref_primary_10_1038_s41590_022_01240_z
crossref_primary_10_1186_s12865_024_00600_8
crossref_primary_10_1126_sciimmunol_abl5842
crossref_primary_10_1126_science_abd2321
crossref_primary_10_1038_s41408_020_00389_w
crossref_primary_10_3389_fimmu_2024_1473486
crossref_primary_10_1016_j_isci_2023_107579
crossref_primary_10_1038_s43586_023_00284_1
crossref_primary_10_1371_journal_pcbi_1010052
crossref_primary_10_1016_j_immuni_2021_02_013
crossref_primary_10_1002_pro_4205
crossref_primary_10_1007_s12551_022_01031_8
crossref_primary_10_7554_eLife_79254
crossref_primary_10_1038_s41467_023_39690_0
crossref_primary_10_1016_j_celrep_2021_109604
crossref_primary_10_3389_fimmu_2020_01887
crossref_primary_10_3389_fcell_2022_924848
crossref_primary_10_1038_s41598_021_93019_9
crossref_primary_10_1038_s41467_022_32232_0
crossref_primary_10_1126_sciimmunol_ado9572
crossref_primary_10_1093_nar_gkz387
crossref_primary_10_1371_journal_pcbi_1010167
crossref_primary_10_3390_biomedicines12112530
crossref_primary_10_1038_s41467_023_40070_x
crossref_primary_10_1016_j_it_2022_11_001
crossref_primary_10_1016_j_immuni_2022_07_006
crossref_primary_10_3389_fimmu_2020_560244
crossref_primary_10_3390_biom12091285
crossref_primary_10_1038_s41586_020_2852_1
crossref_primary_10_3233_HAB_240001
crossref_primary_10_1111_tri_13475
crossref_primary_10_1038_s41586_022_05371_z
crossref_primary_10_1016_j_immuni_2024_07_022
crossref_primary_10_1128_IAI_00116_21
crossref_primary_10_1016_j_beha_2020_101149
crossref_primary_10_1073_pnas_2113512119
crossref_primary_10_1128_mbio_01560_24
crossref_primary_10_1016_j_coisb_2019_10_001
crossref_primary_10_3389_fmolb_2024_1352508
crossref_primary_10_1073_pnas_2203505119
crossref_primary_10_1038_s41423_022_00954_2
crossref_primary_10_7554_eLife_85145
crossref_primary_10_1128_msystems_00722_23
crossref_primary_10_1186_s12859_020_03649_5
crossref_primary_10_1080_19420862_2019_1633884
crossref_primary_10_1016_j_isci_2024_109495
crossref_primary_10_1016_j_celrep_2024_114502
crossref_primary_10_1016_j_immuni_2022_03_019
crossref_primary_10_1101_pdb_over107759
crossref_primary_10_1016_j_molimm_2022_03_011
crossref_primary_10_3390_s22103962
crossref_primary_10_1371_journal_ppat_1008793
crossref_primary_10_1007_s11538_023_01190_z
crossref_primary_10_1093_bioinformatics_btaa1028
crossref_primary_10_1172_jci_insight_174976
crossref_primary_10_1080_19420862_2021_1892366
crossref_primary_10_1126_science_abc5902
crossref_primary_10_3389_fimmu_2023_1223802
crossref_primary_10_1080_19420862_2022_2068212
crossref_primary_10_1073_pnas_2418918121
crossref_primary_10_3389_fimmu_2021_728694
crossref_primary_10_4049_jimmunol_1900666
crossref_primary_10_1016_j_addr_2020_04_005
crossref_primary_10_3389_fimmu_2023_1142634
crossref_primary_10_1016_j_crmeth_2023_100601
crossref_primary_10_1038_s41590_022_01222_1
crossref_primary_10_1097_NAN_0000000000000491
crossref_primary_10_1098_rspb_2020_2793
crossref_primary_10_31631_2073_3046_2023_22_6_183_200
crossref_primary_10_3390_biology11020161
crossref_primary_10_1016_j_immuni_2020_06_001
crossref_primary_10_1103_PhysRevX_14_031026
crossref_primary_10_1093_bib_bbab403
crossref_primary_10_1016_j_celrep_2023_113194
crossref_primary_10_1101_gr_275373_121
crossref_primary_10_1038_s41375_024_02260_4
crossref_primary_10_4049_jimmunol_2300156
crossref_primary_10_1016_j_celrep_2023_112780
crossref_primary_10_1016_j_cell_2019_03_016
crossref_primary_10_1126_sciimmunol_abg6916
crossref_primary_10_1093_nar_gkaf025
crossref_primary_10_1128_mBio_02473_21
crossref_primary_10_1080_22221751_2021_1925594
crossref_primary_10_2174_0929867327666200219142231
crossref_primary_10_3389_fimmu_2021_701085
crossref_primary_10_1016_j_immuno_2023_100028
crossref_primary_10_2139_ssrn_3805158
crossref_primary_10_1371_journal_ppat_1009624
crossref_primary_10_1186_s10020_020_00151_9
crossref_primary_10_1038_s41467_023_42906_y
crossref_primary_10_3389_fcimb_2022_962945
crossref_primary_10_1016_j_patter_2024_100967
crossref_primary_10_3390_v15061253
crossref_primary_10_1016_j_immuni_2024_03_022
crossref_primary_10_3389_fimmu_2023_1167235
crossref_primary_10_1038_s41598_020_57764_7
crossref_primary_10_1038_s41467_023_38345_4
crossref_primary_10_3389_fmolb_2023_1214424
crossref_primary_10_1016_j_cell_2020_06_025
crossref_primary_10_1016_j_celrep_2024_114307
crossref_primary_10_1016_j_immuni_2022_07_020
crossref_primary_10_3390_ijms25105487
crossref_primary_10_1093_bioinformatics_btae618
crossref_primary_10_1002_eji_202250116
crossref_primary_10_1080_19420862_2020_1729683
crossref_primary_10_1038_s41540_024_00402_z
crossref_primary_10_1089_vim_2019_0136
crossref_primary_10_1128_mSphere_00726_21
crossref_primary_10_1016_j_molmed_2022_05_004
crossref_primary_10_1016_j_cell_2022_11_016
crossref_primary_10_3389_fbinf_2022_1044975
crossref_primary_10_1007_s12308_020_00436_2
crossref_primary_10_1016_j_cell_2019_11_003
crossref_primary_10_1214_24_AOAS1985
crossref_primary_10_1073_pnas_1921388117
crossref_primary_10_1146_annurev_chembioeng_101420_125021
crossref_primary_10_1016_j_cell_2024_06_015
crossref_primary_10_1126_sciadv_abd8180
crossref_primary_10_3389_fimmu_2019_01452
crossref_primary_10_1074_jbc_REV120_010181
crossref_primary_10_1371_journal_pone_0236477
crossref_primary_10_1038_s41467_024_52442_y
crossref_primary_10_1016_j_celrep_2021_108856
crossref_primary_10_1016_j_cels_2021_08_008
crossref_primary_10_1089_vim_2019_0149
crossref_primary_10_1002_ajh_25641
crossref_primary_10_1073_pnas_2401058121
crossref_primary_10_1080_1744666X_2021_1905527
crossref_primary_10_1016_j_jim_2021_113089
crossref_primary_10_1016_j_patter_2022_100513
crossref_primary_10_1021_acs_analchem_3c03712
crossref_primary_10_1186_s12859_024_05659_z
crossref_primary_10_1182_blood_2024025010
crossref_primary_10_1126_scitranslmed_abd6990
crossref_primary_10_3389_fimmu_2023_1137069
crossref_primary_10_7554_eLife_92718
crossref_primary_10_1126_science_aax4380
crossref_primary_10_1038_s41591_021_01409_3
crossref_primary_10_1016_j_jmb_2023_168113
crossref_primary_10_1016_j_it_2021_01_001
crossref_primary_10_1016_j_immuni_2023_07_003
crossref_primary_10_1039_D3LC00749A
crossref_primary_10_1159_000533610
crossref_primary_10_1016_j_celrep_2020_108088
crossref_primary_10_1080_22221751_2023_2290841
crossref_primary_10_1093_bib_bbac267
crossref_primary_10_1016_j_mcpro_2023_100690
crossref_primary_10_1073_pnas_2106203118
crossref_primary_10_1038_s41392_021_00610_7
crossref_primary_10_1038_s41467_021_22300_2
crossref_primary_10_3390_v13050833
crossref_primary_10_1002_pro_70090
crossref_primary_10_1016_j_molimm_2022_09_011
crossref_primary_10_1016_j_cels_2024_11_006
crossref_primary_10_1038_s42003_022_03700_6
crossref_primary_10_3389_fimmu_2022_952650
crossref_primary_10_1074_mcp_RA119_001633
crossref_primary_10_1111_imm_13299
crossref_primary_10_1093_bib_bbae431
crossref_primary_10_1080_19420862_2020_1722541
crossref_primary_10_3389_fimmu_2021_689472
crossref_primary_10_1016_j_it_2023_03_006
crossref_primary_10_1016_j_immuni_2022_09_001
crossref_primary_10_1016_j_it_2023_03_002
crossref_primary_10_1038_s41586_021_03324_6
crossref_primary_10_1126_sciimmunol_abq3511
crossref_primary_10_1016_j_coi_2019_05_012
crossref_primary_10_1016_j_jim_2024_113768
crossref_primary_10_1038_s42003_024_07441_6
crossref_primary_10_1126_scitranslmed_abl9605
crossref_primary_10_1126_scitranslmed_adr2218
crossref_primary_10_1126_sciadv_adj5640
crossref_primary_10_7554_eLife_86181
crossref_primary_10_1371_journal_ppat_1008165
crossref_primary_10_1016_j_isci_2020_101519
crossref_primary_10_3389_fimmu_2024_1272493
crossref_primary_10_1002_ijch_202300128
crossref_primary_10_1016_j_celrep_2021_109110
crossref_primary_10_1016_j_celrep_2022_111391
crossref_primary_10_3389_fimmu_2021_815680
crossref_primary_10_1016_j_chom_2022_10_010
crossref_primary_10_3390_ijms23158590
crossref_primary_10_1084_jem_20221220
crossref_primary_10_1016_j_immuni_2023_02_005
crossref_primary_10_1093_nar_gkaa825
crossref_primary_10_1172_JCI148763
crossref_primary_10_1016_j_exphem_2020_09_194
crossref_primary_10_1002_2211_5463_13467
crossref_primary_10_25259_IJTMRPH_12_2024
crossref_primary_10_1002_smtd_202000451
crossref_primary_10_3389_fimmu_2021_653189
crossref_primary_10_1177_14690667231208530
crossref_primary_10_1007_s13167_020_00230_1
crossref_primary_10_1126_science_adp2407
crossref_primary_10_3390_biom14080983
crossref_primary_10_1084_jem_20220367
crossref_primary_10_3390_toxins11060346
crossref_primary_10_1038_s41592_021_01169_5
crossref_primary_10_1158_0008_5472_CAN_19_1457
crossref_primary_10_1371_journal_pcbi_1007977
crossref_primary_10_3389_fimmu_2020_01344
crossref_primary_10_1093_bioinformatics_btab154
crossref_primary_10_3389_fmolb_2021_679130
crossref_primary_10_3390_vaccines8010013
crossref_primary_10_1016_j_isci_2023_108009
crossref_primary_10_1016_j_celrep_2021_109109
crossref_primary_10_3390_ijms24065680
crossref_primary_10_1016_j_immuni_2021_10_017
crossref_primary_10_1016_j_cell_2021_07_025
crossref_primary_10_3390_ijms252211968
crossref_primary_10_1038_s41590_022_01230_1
crossref_primary_10_1080_19420862_2020_1758291
crossref_primary_10_1073_pnas_2412787122
crossref_primary_10_1016_j_isci_2021_103564
crossref_primary_10_3389_fmolb_2023_1237621
crossref_primary_10_7759_cureus_36809
crossref_primary_10_1038_s41587_020_0577_1
Cites_doi 10.1016/j.chom.2018.05.001
10.2307/2531532
10.1186/1471-2105-13-31
10.1371/journal.pone.0022365
10.1371/journal.pone.0100839
10.14806/ej.17.1.200
10.1038/381751a0
10.1038/s41467-018-02832-w
10.1111/j.1365-2249.2010.04206.x
10.1371/journal.pone.0154811
10.1086/282436
10.1126/sciimmunol.aan6809
10.1093/nar/18.7.1687
10.1371/journal.pone.0034179
10.1038/ncomms11881
10.1038/sj.leu.2403202
10.1016/j.coi.2016.03.008
10.1038/srep23901
10.1038/nm.3743
10.1006/jmbi.1997.1442
10.1002/9780470015902.a0026329
10.1101/447813
ContentType Journal Article
Copyright Springer Nature Limited 2019
COPYRIGHT 2019 Nature Publishing Group
Copyright Nature Publishing Group Feb 21, 2019
Copyright_xml – notice: Springer Nature Limited 2019
– notice: COPYRIGHT 2019 Nature Publishing Group
– notice: Copyright Nature Publishing Group Feb 21, 2019
DBID AAYXX
CITATION
CGR
CUY
CVF
ECM
EIF
NPM
ATWCN
3V.
7QG
7QL
7QP
7QR
7RV
7SN
7SS
7ST
7T5
7TG
7TK
7TM
7TO
7U9
7X2
7X7
7XB
88A
88E
88G
88I
8AF
8AO
8C1
8FD
8FE
8FG
8FH
8FI
8FJ
8FK
8G5
ABJCF
ABUWG
AEUYN
AFKRA
ARAPS
ATCPS
AZQEC
BBNVY
BEC
BENPR
BGLVJ
BHPHI
BKSAR
C1K
CCPQU
D1I
DWQXO
FR3
FYUFA
GHDGH
GNUQQ
GUQSH
H94
HCIFZ
K9.
KB.
KB0
KL.
L6V
LK8
M0K
M0S
M1P
M2M
M2O
M2P
M7N
M7P
M7S
MBDVC
NAPCQ
P5Z
P62
P64
PATMY
PCBAR
PDBOC
PHGZM
PHGZT
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQQKQ
PQUKI
PRINS
PSYQQ
PTHSS
PYCSY
Q9U
R05
RC3
S0X
SOI
7X8
5PM
DOI 10.1038/s41586-019-0879-y
DatabaseName CrossRef
Medline
MEDLINE
MEDLINE (Ovid)
MEDLINE
MEDLINE
PubMed
Gale In Context: Middle School
ProQuest Central (Corporate)
Animal Behavior Abstracts
Bacteriology Abstracts (Microbiology B)
Calcium & Calcified Tissue Abstracts
Chemoreception Abstracts
Nursing & Allied Health Database
Ecology Abstracts
Entomology Abstracts (Full archive)
Environment Abstracts
Immunology Abstracts
Meteorological & Geoastrophysical Abstracts
Neurosciences Abstracts
Nucleic Acids Abstracts
Oncogenes and Growth Factors Abstracts
Virology and AIDS Abstracts
Agricultural Science Collection
Health & Medical Collection
ProQuest Central (purchase pre-March 2016)
Biology Database (Alumni Edition)
Medical Database (Alumni Edition)
Psychology Database (Alumni)
Science Database (Alumni Edition)
STEM Database
ProQuest Pharma Collection
Public Health Database
Technology Research Database
ProQuest SciTech Collection
ProQuest Technology Collection
ProQuest Natural Science Collection
Hospital Premium Collection
Hospital Premium Collection (Alumni Edition)
ProQuest Central (Alumni) (purchase pre-March 2016)
Research Library (Alumni Edition)
Materials Science & Engineering Collection
ProQuest Central (Alumni Edition)
ProQuest One Sustainability
ProQuest Central UK/Ireland
Advanced Technologies & Aerospace Collection
Agricultural & Environmental Science Collection
ProQuest Central Essentials
Biological Science Collection
eLibrary
ProQuest Central
Technology Collection
Natural Science Collection
Earth, Atmospheric & Aquatic Science Collection
Environmental Sciences and Pollution Management
ProQuest One Community College
ProQuest Materials Science Collection
ProQuest Central Korea
Engineering Research Database
Health Research Premium Collection
Health Research Premium Collection (Alumni)
ProQuest Central Student
Research Library Prep
AIDS and Cancer Research Abstracts
SciTech Premium Collection
ProQuest Health & Medical Complete (Alumni)
Materials Science Database
Nursing & Allied Health Database (Alumni Edition)
Meteorological & Geoastrophysical Abstracts - Academic
ProQuest Engineering Collection
ProQuest Biological Science Collection
Agricultural Science Database
Health & Medical Collection (Alumni Edition)
Medical Database
Psychology Database
Research Library
Science Database
Algology Mycology and Protozoology Abstracts (Microbiology C)
Biological Science Database
Engineering Database
Research Library (Corporate)
Nursing & Allied Health Premium
Advanced Technologies & Aerospace Database
ProQuest Advanced Technologies & Aerospace Collection
Biotechnology and BioEngineering Abstracts
Environmental Science Database
Earth, Atmospheric & Aquatic Science Database
Materials Science Collection
ProQuest Central Premium
ProQuest One Academic (New)
ProQuest Health & Medical Research Collection
ProQuest One Academic Middle East (New)
ProQuest One Health & Nursing
ProQuest One Academic Eastern Edition (DO NOT USE)
ProQuest One Applied & Life Sciences
ProQuest One Academic
ProQuest One Academic UKI Edition
ProQuest Central China
ProQuest One Psychology
Engineering Collection
Environmental Science Collection
ProQuest Central Basic
University of Michigan
Genetics Abstracts
SIRS Editorial
Environment Abstracts
MEDLINE - Academic
PubMed Central (Full Participant titles)
DatabaseTitle CrossRef
MEDLINE
Medline Complete
MEDLINE with Full Text
PubMed
MEDLINE (Ovid)
Agricultural Science Database
ProQuest One Psychology
Research Library Prep
ProQuest Central Student
Oncogenes and Growth Factors Abstracts
ProQuest Advanced Technologies & Aerospace Collection
ProQuest Central Essentials
Nucleic Acids Abstracts
elibrary
ProQuest AP Science
SciTech Premium Collection
ProQuest Central China
Environmental Sciences and Pollution Management
ProQuest One Applied & Life Sciences
ProQuest One Sustainability
Health Research Premium Collection
Meteorological & Geoastrophysical Abstracts
Natural Science Collection
Health & Medical Research Collection
Biological Science Collection
Chemoreception Abstracts
ProQuest Central (New)
ProQuest Medical Library (Alumni)
Engineering Collection
Advanced Technologies & Aerospace Collection
Engineering Database
Virology and AIDS Abstracts
ProQuest Science Journals (Alumni Edition)
ProQuest Biological Science Collection
ProQuest One Academic Eastern Edition
Earth, Atmospheric & Aquatic Science Database
Agricultural Science Collection
ProQuest Hospital Collection
ProQuest Technology Collection
Health Research Premium Collection (Alumni)
Biological Science Database
Ecology Abstracts
Neurosciences Abstracts
ProQuest Hospital Collection (Alumni)
Biotechnology and BioEngineering Abstracts
Environmental Science Collection
Entomology Abstracts
Nursing & Allied Health Premium
ProQuest Health & Medical Complete
ProQuest One Academic UKI Edition
Environmental Science Database
ProQuest Nursing & Allied Health Source (Alumni)
Engineering Research Database
ProQuest One Academic
Calcium & Calcified Tissue Abstracts
Meteorological & Geoastrophysical Abstracts - Academic
ProQuest One Academic (New)
University of Michigan
Technology Collection
Technology Research Database
ProQuest One Academic Middle East (New)
SIRS Editorial
Materials Science Collection
ProQuest Health & Medical Complete (Alumni)
ProQuest Central (Alumni Edition)
ProQuest One Community College
ProQuest One Health & Nursing
Research Library (Alumni Edition)
ProQuest Natural Science Collection
ProQuest Pharma Collection
ProQuest Biology Journals (Alumni Edition)
ProQuest Central
Earth, Atmospheric & Aquatic Science Collection
ProQuest Health & Medical Research Collection
Genetics Abstracts
ProQuest Engineering Collection
Health and Medicine Complete (Alumni Edition)
ProQuest Central Korea
Bacteriology Abstracts (Microbiology B)
Algology Mycology and Protozoology Abstracts (Microbiology C)
Agricultural & Environmental Science Collection
AIDS and Cancer Research Abstracts
Materials Science Database
ProQuest Research Library
ProQuest Materials Science Collection
ProQuest Public Health
ProQuest Central Basic
ProQuest Science Journals
ProQuest Nursing & Allied Health Source
ProQuest Psychology Journals (Alumni)
ProQuest SciTech Collection
Advanced Technologies & Aerospace Database
ProQuest Medical Library
ProQuest Psychology Journals
Animal Behavior Abstracts
Materials Science & Engineering Collection
Immunology Abstracts
Environment Abstracts
ProQuest Central (Alumni)
MEDLINE - Academic
DatabaseTitleList MEDLINE - Academic
MEDLINE
Agricultural Science Database







Database_xml – sequence: 1
  dbid: NPM
  name: PubMed
  url: https://proxy.k.utb.cz/login?url=http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed
  sourceTypes: Index Database
– sequence: 2
  dbid: EIF
  name: MEDLINE
  url: https://proxy.k.utb.cz/login?url=https://www.webofscience.com/wos/medline/basic-search
  sourceTypes: Index Database
– sequence: 3
  dbid: 8FG
  name: ProQuest Technology Collection
  url: https://search.proquest.com/technologycollection1
  sourceTypes: Aggregation Database
DeliveryMethod fulltext_linktorsrc
Discipline Sciences (General)
Physics
EISSN 1476-4687
EndPage 397
ExternalDocumentID PMC6411386
A575056219
30664748
10_1038_s41586_019_0879_y
Genre Research Support, Non-U.S. Gov't
Journal Article
Research Support, N.I.H., Extramural
GrantInformation_xml – fundername: NIAID NIH HHS
  grantid: UM1 AI100663
– fundername: NIAID NIH HHS
  grantid: U19 AI135995
GroupedDBID ---
--Z
-DZ
-ET
-~X
.55
.CO
.XZ
07C
0R~
0WA
123
186
1OL
1VR
29M
2KS
2XV
39C
41X
53G
5RE
6TJ
70F
7RV
7X2
7X7
7XC
85S
88A
88E
88I
8AF
8AO
8C1
8CJ
8FE
8FG
8FH
8FI
8FJ
8G5
8R4
8R5
8WZ
97F
97L
A6W
A7Z
AAEEF
AAHBH
AAHTB
AAIKC
AAKAB
AAMNW
AASDW
AAYEP
AAYZH
AAZLF
ABDQB
ABFSI
ABIVO
ABJCF
ABJNI
ABLJU
ABOCM
ABPEJ
ABPPZ
ABUWG
ABWJO
ABZEH
ACBEA
ACBWK
ACGFO
ACGFS
ACGOD
ACIWK
ACKOT
ACMJI
ACNCT
ACPRK
ACWUS
ADBBV
ADFRT
ADUKH
AENEX
AEUYN
AFBBN
AFFNX
AFKRA
AFLOW
AFRAH
AFSHS
AGAYW
AGHSJ
AGHTU
AGSOS
AHMBA
AHSBF
AIDAL
AIDUJ
ALFFA
ALIPV
ALMA_UNASSIGNED_HOLDINGS
AMTXH
ARAPS
ARMCB
ASPBG
ATCPS
ATWCN
AVWKF
AXYYD
AZFZN
AZQEC
BBNVY
BCU
BEC
BENPR
BGLVJ
BHPHI
BIN
BKEYQ
BKKNO
BKSAR
BPHCQ
BVXVI
CCPQU
CJ0
CS3
D1I
D1J
D1K
DU5
DWQXO
E.-
E.L
EAP
EBS
EE.
EJD
EMH
EPS
ESX
EX3
EXGXG
F5P
FEDTE
FQGFK
FSGXE
FYUFA
GNUQQ
GUQSH
HCIFZ
HG6
HMCUK
HVGLF
HZ~
I-F
IAO
ICQ
IEA
IEP
IGS
IH2
IHR
INH
INR
IOF
IPY
ISR
ITC
K6-
KB.
KOO
L6V
L7B
LK5
LK8
LSO
M0K
M0L
M1P
M2M
M2O
M2P
M7P
M7R
M7S
N9A
NAPCQ
NEPJS
O9-
OBC
OES
OHH
OMK
OVD
P2P
P62
PATMY
PCBAR
PDBOC
PKN
PQQKQ
PROAC
PSQYO
PSYQQ
PTHSS
PYCSY
Q2X
R05
RND
RNS
RNT
RNTTT
RXW
S0X
SC5
SHXYY
SIXXV
SJFOW
SJN
SNYQT
SOJ
SV3
TAE
TAOOD
TBHMF
TDRGL
TEORI
TN5
TSG
TWZ
U5U
UIG
UKHRP
UKR
UMD
UQL
VQA
VVN
WH7
WOW
X7M
XIH
XKW
XZL
Y6R
YAE
YCJ
YFH
YIF
YIN
YNT
YOC
YQT
YR2
YR5
YXB
YZZ
Z5M
ZCA
ZE2
~02
~7V
~88
~KM
AARCD
AAYXX
ABFSG
ACMFV
ACSTC
ADXHL
AEZWR
AFANA
AFHIU
AHWEU
AIXLP
ALPWD
ATHPR
CITATION
PHGZM
PHGZT
.-4
.GJ
.HR
00M
08P
0B8
1CY
1VW
354
3EH
3O-
3V.
4.4
41~
42X
4R4
663
79B
9M8
A8Z
AAJYS
AAKAS
AAVBQ
AAYOK
ABAWZ
ABDBF
ABDPE
ABEFU
ABMOR
ABNNU
ABTAH
ACBNA
ACBTR
ACRPL
ACTDY
ACUHS
ADNMO
ADRHT
ADYSU
ADZCM
AFFDN
AFHKK
AGCDD
AGGDT
AGNAY
AGOIJ
AIYXT
AJUXI
APEBS
ARTTT
B0M
BCR
BDKGC
BES
BKOMP
BLC
CGR
CUY
CVF
DB5
DO4
EAD
EAS
EAZ
EBC
EBD
EBO
ECC
ECM
EIF
EMB
EMF
EMK
EMOBN
EPL
ESE
ESN
FA8
FAC
J5H
L-9
LGEZI
LOTEE
MVM
N4W
NADUK
NEJ
NPM
NXXTH
ODYON
OHT
P-O
PEA
PM3
PV9
QS-
R4F
RHI
SKT
TH9
TUD
TUS
UAO
UBY
UHB
USG
VOH
X7L
XOL
YJ6
YQI
YQJ
YV5
YXA
YYP
YYQ
ZCG
ZGI
ZHY
ZKB
ZKG
ZY4
~8M
~G0
AEIIB
PMFND
7QG
7QL
7QP
7QR
7SN
7SS
7ST
7T5
7TG
7TK
7TM
7TO
7U9
7XB
8FD
8FK
C1K
FR3
H94
K9.
KL.
M7N
MBDVC
P64
PJZUB
PKEHL
PPXIY
PQEST
PQGLB
PQUKI
PRINS
PUEGO
Q9U
RC3
SOI
7X8
5PM
ID FETCH-LOGICAL-c738t-fc6e8362633fbb8770707dd7dc94c73119cb32455a96ce597565234c6c520c663
IEDL.DBID 7X7
ISSN 0028-0836
1476-4687
IngestDate Thu Aug 21 13:42:25 EDT 2025
Fri Jul 11 07:51:21 EDT 2025
Sat Aug 23 14:49:16 EDT 2025
Tue Jun 17 21:08:47 EDT 2025
Thu Jun 12 23:08:58 EDT 2025
Tue Jun 10 15:34:41 EDT 2025
Tue Jun 10 20:17:43 EDT 2025
Fri Jun 27 03:53:38 EDT 2025
Fri Jun 27 04:33:35 EDT 2025
Wed Feb 19 02:30:44 EST 2025
Tue Jul 01 01:20:44 EDT 2025
Thu Apr 24 22:53:04 EDT 2025
Fri Feb 21 02:38:41 EST 2025
IsDoiOpenAccess true
IsOpenAccess true
IsPeerReviewed true
IsScholarly true
Issue 7744
Language English
License Users may view, print, copy, and download text and data-mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use:http://www.nature.com/authors/editorial_policies/license.html#terms
Reprints and permissions information is available at www.nature.com/reprints.
LinkModel DirectLink
MergedId FETCHMERGED-LOGICAL-c738t-fc6e8362633fbb8770707dd7dc94c73119cb32455a96ce597565234c6c520c663
Notes ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
AUTHOR CONTRIBUTIONS
BB and DRB planned and designed the experiments. BB, AI and CJ performed experiments. BB analyzed data. BB and DRB wrote the manuscript. All authors contributed to manuscript revisions.
OpenAccessLink https://pubmed.ncbi.nlm.nih.gov/PMC6411386
PMID 30664748
PQID 2187545739
PQPubID 40569
PageCount 5
ParticipantIDs pubmedcentral_primary_oai_pubmedcentral_nih_gov_6411386
proquest_miscellaneous_2179439998
proquest_journals_2187545739
gale_infotracmisc_A575056219
gale_infotracgeneralonefile_A575056219
gale_infotraccpiq_575056219
gale_infotracacademiconefile_A575056219
gale_incontextgauss_ISR_A575056219
gale_incontextgauss_ATWCN_A575056219
pubmed_primary_30664748
crossref_primary_10_1038_s41586_019_0879_y
crossref_citationtrail_10_1038_s41586_019_0879_y
springer_journals_10_1038_s41586_019_0879_y
ProviderPackageCode CITATION
AAYXX
PublicationCentury 2000
PublicationDate 2019-02-00
PublicationDateYYYYMMDD 2019-02-01
PublicationDate_xml – month: 02
  year: 2019
  text: 2019-02-00
PublicationDecade 2010
PublicationPlace London
PublicationPlace_xml – name: London
– name: England
PublicationSubtitle International weekly journal of science
PublicationTitle Nature (London)
PublicationTitleAbbrev Nature
PublicationTitleAlternate Nature
PublicationYear 2019
Publisher Nature Publishing Group UK
Nature Publishing Group
Publisher_xml – name: Nature Publishing Group UK
– name: Nature Publishing Group
References Martin (CR23) 2011; 17
Alberts (CR2) 2002
Setliff (CR9) 2018; 23
Chao (CR10) 1987; 43
Horn (CR8) 1966; 100
DeKosky (CR14) 2015; 21
Masella, Bartram, Truszkowski, Brown, Neufeld (CR21) 2012; 13
CR4
Finn (CR18) 2016; 11
Rogers (CR24) 2017; 2
Morbach, Eichhorn, Liese, Girschick (CR6) 2010; 162
Eren, Chao, Hwang, Colwell (CR13) 2012; 7
Meyerhans, Vartanian, Wain-Hobson (CR22) 1990; 18
Kaplinsky, Arnaout (CR11) 2016; 7
Briney, Willis, Finn, McKinney, Crowe (CR19) 2014; 9
CR12
Morea, Tramontano, Rustici, Chothia, Lesk (CR17) 1998; 275
Rajewsky (CR1) 1996; 381
Boyd, Crowe (CR3) 2016; 40
Morisita (CR7) 1959; 2
Arnaout (CR15) 2011; 6
van Dongen (CR20) 2003; 17
Marcou, Mora, Walczak (CR16) 2018; 9
Briney, Le, Zhu, Burton (CR5) 2016; 6
M Morisita (879_CR7) 1959; 2
879_CR12
SD Boyd (879_CR3) 2016; 40
879_CR4
MI Eren (879_CR13) 2012; 7
R Arnaout (879_CR15) 2011; 6
B Alberts (879_CR2) 2002
BJ DeKosky (879_CR14) 2015; 21
TF Rogers (879_CR24) 2017; 2
M Martin (879_CR23) 2011; 17
K Rajewsky (879_CR1) 1996; 381
HS Horn (879_CR8) 1966; 100
JJM Dongen van (879_CR20) 2003; 17
B Briney (879_CR5) 2016; 6
JA Finn (879_CR18) 2016; 11
J Kaplinsky (879_CR11) 2016; 7
BS Briney (879_CR19) 2014; 9
H Morbach (879_CR6) 2010; 162
I Setliff (879_CR9) 2018; 23
A Chao (879_CR10) 1987; 43
V Morea (879_CR17) 1998; 275
A Meyerhans (879_CR22) 1990; 18
Q Marcou (879_CR16) 2018; 9
AP Masella (879_CR21) 2012; 13
References_xml – volume: 23
  start-page: 845
  year: 2018
  end-page: 854.e6
  ident: CR9
  article-title: Multi-donor longitudinal antibody repertoire sequencing reveals the existence of public antibody clonotypes in HIV-1 infection
  publication-title: Cell Host Microbe
  doi: 10.1016/j.chom.2018.05.001
– volume: 43
  start-page: 783
  year: 1987
  end-page: 791
  ident: CR10
  article-title: Estimating the population size for capture–recapture data with unequal catchability
  publication-title: Biometrics
  doi: 10.2307/2531532
– volume: 13
  year: 2012
  ident: CR21
  article-title: PANDAseq: paired-end assembler for Illumina sequences
  publication-title: BMC Bioinformatics
  doi: 10.1186/1471-2105-13-31
– volume: 2
  start-page: 5
  year: 1959
  end-page: 235
  ident: CR7
  article-title: Measuring of the dispersion of individuals and analysis of the distributional patterns
  publication-title: Mem. Fac. Sci. Kyushu Univ. Ser. E
– ident: CR4
– volume: 6
  start-page: e22365
  year: 2011
  ident: CR15
  article-title: High-resolution description of antibody heavy-chain repertoires in humans
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0022365
– volume: 9
  start-page: e100839
  year: 2014
  ident: CR19
  article-title: Tissue-specific expressed antibody variable gene repertoires
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0100839
– volume: 17
  start-page: 10
  year: 2011
  end-page: 12
  ident: CR23
  article-title: Cutadapt removes adapter sequences from high-throughput sequencing reads
  publication-title: EMBnet J.
  doi: 10.14806/ej.17.1.200
– ident: CR12
– volume: 381
  start-page: 751
  year: 1996
  end-page: 758
  ident: CR1
  article-title: Clonal selection and learning in the antibody system
  publication-title: Nature
  doi: 10.1038/381751a0
– volume: 9
  year: 2018
  ident: CR16
  article-title: High-throughput immune repertoire analysis with IGoR
  publication-title: Nat. Commun.
  doi: 10.1038/s41467-018-02832-w
– volume: 162
  start-page: 271
  year: 2010
  end-page: 279
  ident: CR6
  article-title: Reference values for B cell subpopulations from infancy to adulthood
  publication-title: Clin. Exp. Immunol.
  doi: 10.1111/j.1365-2249.2010.04206.x
– volume: 11
  start-page: e0154811
  year: 2016
  ident: CR18
  article-title: Improving loop modeling of the antibody complementarity-determining region 3 using knowledge-based restraints
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0154811
– volume: 100
  start-page: 419
  year: 1966
  end-page: 424
  ident: CR8
  article-title: Measurement of ‘overlap’ in comparative ecological studies
  publication-title: Am. Nat.
  doi: 10.1086/282436
– volume: 2
  start-page: eaan6809
  year: 2017
  ident: CR24
  article-title: Zika virus activates de novo and cross-reactive memory B cell responses in dengue-experienced donors
  publication-title: Sci. Immunol.
  doi: 10.1126/sciimmunol.aan6809
– year: 2002
  ident: CR2
  publication-title: The Generation of Antibody Diversity
– volume: 18
  start-page: 1687
  year: 1990
  end-page: 1691
  ident: CR22
  article-title: DNA recombination during PCR
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/18.7.1687
– volume: 7
  start-page: e34179
  year: 2012
  ident: CR13
  article-title: Estimating the richness of a population when the maximum number of classes is fixed: a nonparametric solution to an archaeological problem
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0034179
– volume: 7
  year: 2016
  ident: CR11
  article-title: Robust estimates of overall immune-repertoire diversity from high-throughput measurements on samples
  publication-title: Nat. Commun.
  doi: 10.1038/ncomms11881
– volume: 17
  start-page: 2257
  year: 2003
  end-page: 2317
  ident: CR20
  article-title: Design and standardization of PCR primers and protocols for detection of clonal immunoglobulin and T-cell receptor gene recombinations in suspect lymphoproliferations: report of the BIOMED-2 Concerted Action BMH4-CT98-3936
  publication-title: Leukemia
  doi: 10.1038/sj.leu.2403202
– volume: 40
  start-page: 103
  year: 2016
  end-page: 109
  ident: CR3
  article-title: Deep sequencing and human antibody repertoire analysis
  publication-title: Curr. Opin. Immunol.
  doi: 10.1016/j.coi.2016.03.008
– volume: 6
  year: 2016
  ident: CR5
  article-title: Clonify: unseeded antibody lineage assignment from next-generation sequencing data
  publication-title: Sci. Rep.
  doi: 10.1038/srep23901
– volume: 21
  start-page: 86
  year: 2015
  end-page: 91
  ident: CR14
  article-title: In-depth determination and analysis of the human paired heavy- and light-chain antibody repertoire
  publication-title: Nat. Med.
  doi: 10.1038/nm.3743
– volume: 275
  start-page: 269
  year: 1998
  end-page: 294
  ident: CR17
  article-title: Conformations of the third hypervariable region in the VH domain of immunoglobulins
  publication-title: J. Mol. Biol.
  doi: 10.1006/jmbi.1997.1442
– volume: 21
  start-page: 86
  year: 2015
  ident: 879_CR14
  publication-title: Nat. Med.
  doi: 10.1038/nm.3743
– volume-title: The Generation of Antibody Diversity
  year: 2002
  ident: 879_CR2
– volume: 9
  start-page: e100839
  year: 2014
  ident: 879_CR19
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0100839
– volume: 381
  start-page: 751
  year: 1996
  ident: 879_CR1
  publication-title: Nature
  doi: 10.1038/381751a0
– volume: 2
  start-page: 5
  year: 1959
  ident: 879_CR7
  publication-title: Mem. Fac. Sci. Kyushu Univ. Ser. E
– volume: 7
  start-page: e34179
  year: 2012
  ident: 879_CR13
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0034179
– volume: 17
  start-page: 2257
  year: 2003
  ident: 879_CR20
  publication-title: Leukemia
  doi: 10.1038/sj.leu.2403202
– ident: 879_CR12
  doi: 10.1002/9780470015902.a0026329
– volume: 18
  start-page: 1687
  year: 1990
  ident: 879_CR22
  publication-title: Nucleic Acids Res.
  doi: 10.1093/nar/18.7.1687
– volume: 275
  start-page: 269
  year: 1998
  ident: 879_CR17
  publication-title: J. Mol. Biol.
  doi: 10.1006/jmbi.1997.1442
– ident: 879_CR4
  doi: 10.1101/447813
– volume: 9
  year: 2018
  ident: 879_CR16
  publication-title: Nat. Commun.
  doi: 10.1038/s41467-018-02832-w
– volume: 13
  year: 2012
  ident: 879_CR21
  publication-title: BMC Bioinformatics
  doi: 10.1186/1471-2105-13-31
– volume: 6
  year: 2016
  ident: 879_CR5
  publication-title: Sci. Rep.
  doi: 10.1038/srep23901
– volume: 17
  start-page: 10
  year: 2011
  ident: 879_CR23
  publication-title: EMBnet J.
  doi: 10.14806/ej.17.1.200
– volume: 100
  start-page: 419
  year: 1966
  ident: 879_CR8
  publication-title: Am. Nat.
  doi: 10.1086/282436
– volume: 6
  start-page: e22365
  year: 2011
  ident: 879_CR15
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0022365
– volume: 40
  start-page: 103
  year: 2016
  ident: 879_CR3
  publication-title: Curr. Opin. Immunol.
  doi: 10.1016/j.coi.2016.03.008
– volume: 43
  start-page: 783
  year: 1987
  ident: 879_CR10
  publication-title: Biometrics
  doi: 10.2307/2531532
– volume: 7
  year: 2016
  ident: 879_CR11
  publication-title: Nat. Commun.
  doi: 10.1038/ncomms11881
– volume: 23
  start-page: 845
  year: 2018
  ident: 879_CR9
  publication-title: Cell Host Microbe
  doi: 10.1016/j.chom.2018.05.001
– volume: 2
  start-page: eaan6809
  year: 2017
  ident: 879_CR24
  publication-title: Sci. Immunol.
  doi: 10.1126/sciimmunol.aan6809
– volume: 11
  start-page: e0154811
  year: 2016
  ident: 879_CR18
  publication-title: PLoS ONE
  doi: 10.1371/journal.pone.0154811
– volume: 162
  start-page: 271
  year: 2010
  ident: 879_CR6
  publication-title: Clin. Exp. Immunol.
  doi: 10.1111/j.1365-2249.2010.04206.x
SSID ssj0005174
Score 2.6834192
Snippet In principle, humans can produce an antibody response to any non-self-antigen molecule in the appropriate context. This flexibility is achieved by the presence...
SourceID pubmedcentral
proquest
gale
pubmed
crossref
springer
SourceType Open Access Repository
Aggregation Database
Index Database
Enrichment Source
Publisher
StartPage 393
SubjectTerms 45/23
45/77
631/250/2152/2153/1291
631/250/2152/2497
Adaptive systems
Analysis
Antibodies
Antibodies - chemistry
Antibodies - genetics
Antibodies - immunology
Antibody response
Antigens
Antigens - immunology
Autoantigens
B cells
B-Lymphocytes - cytology
B-Lymphocytes - immunology
B-Lymphocytes - metabolism
Base Sequence
Clone Cells - cytology
Clone Cells - immunology
Clone Cells - metabolism
Commonality
Estimates
Gene sequencing
Genes
Genetic research
Genetic Variation - genetics
Genomes
Genomics
Human genome
Human physiology
Humanities and Social Sciences
Humans
Immune system
Letter
Library collections
Lymphocytes
Lymphocytes B
Lymphocytes T
Multiculturalism & pluralism
multidisciplinary
Organs
Peripheral blood
Population
Science
Science (multidisciplinary)
Sequence Analysis, DNA
Somatic hypermutation
T cell receptors
T cells
Title Commonality despite exceptional diversity in the baseline human antibody repertoire
URI https://link.springer.com/article/10.1038/s41586-019-0879-y
https://www.ncbi.nlm.nih.gov/pubmed/30664748
https://www.proquest.com/docview/2187545739
https://www.proquest.com/docview/2179439998
https://pubmed.ncbi.nlm.nih.gov/PMC6411386
Volume 566
hasFullText 1
inHoldings 1
isFullTextHit
isPrint
link http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwfV1ba9swFBZby2AvY-1ubruijbIrpollS_LTyEKzbrAwemF5E5Ysd4Fip7EDy7_fObac1KHri1_OsbF1bp-lo0-EHCVc95mQ1mcsFX4oeQQxl8RgEAHVQGSBrqcufo756WX4YxJN3IRb6doq25xYJ-q0MDhHfgylSEC1Fyz-Mrvx8dQoXF11R2g8JNtIXYYtXWIi1i0eGyzM7aomk8clFC6J_9IxSETsLzt1aTM73ypPm62TG-undVkaPSVPHJ6kg8YBdsgDm--SR3Vfpyl3yY6L3ZJ-cATTH5-Rc9wV4hA4TXGtvbLU_nUNLvC0tG3WoNOcAkKkWOsQj9L6SD8K1pjqIl3SuZ3ZeVVA2nxOLkcnF8NT3x2u4BvBZOVnhltZc9GwTGspBPL-pKlITRyCBgyn0QC2oiiJOW7VEoD8AhYabqKgZwCnvCBbeZHbV4RGnFmeaik1i8Is6ckUhlYncdALAZ9I45FeO7TKOOZxPADjWtUr4EyqxhoKrKHQGmrpkU-rW2YN7cZ9ykdoL4V0Fjn2y1wli7JUg4vfw7EaAB5FkNePPfL2LrXv52cdpfdOKSvgHU3idinAlyJRVkdzv6NpZtMbdUv6riO9amx812MOOooQ3aYrbp1QuexSqnUseOTNSox3YsdcbosF6iD1H8B_6ZGXjc-uRhJ-EzmYBiSi480rBeQc70ry6Z-ae5yH_T6T3COfW79fv9Z_DbR3_0fsk8dBHYjYJHRAtqr5wr4GqFfpwzqe4SqHfbyOvh2S7a8n419n_wCPm1A5
linkProvider ProQuest
linkToHtml http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV1Lb9NAEB6VIgQXRMvLtMCCyqvIauy1vesDQlGhSmibA01Fblt7vSmRkJ3GiSB_it_IjB9JHZXeep7xyt6ZnW_WM_stwE4UxA4X0ticJ8L2ZODjmotCNIhANBBDNy5-XRz3gs6p923gD9bgb30Whtoq65hYBOok0_SPfA-hSCDaCx5-Hl_YdGsUVVfrKzRKtzg089-4Zcs_db-gfd-47sHX_n7Hrm4VsLXgcmoPdWBkQcLCh3EshSDCmyQRiQ491HCcUMeYZfh-FAZ0RklgyuNyTwfad1saARrHvQW3EXhbtKLEQCxbSlZYn-sqKpd7OQKlpL17iBIR2vMGDq6iwSU4XG3VXKnXFjB48ADuV_kra5cOtwFrJt2EO0Ufqc43YaOKFTl7XxFaf3gIJ3QKpcr4WUK1_alh5k_VUIOjJXVzCBulDDNSRthK-S8rrhBkaP1RnCVzNjFjM5lmGKYfwemNTPtjWE-z1DwF5gfcBEksZcx9bxi1ZIJTG0eh2_IwH5LaglY9tUpXTOd04cYvVVTcuVSlNRRaQ5E11NyC3cUj45Lm4zrlHbKXIvqMlPpzzqNZnqt2_8d-T7Ux_6Wk0gkteH2VWvfke0PpXaU0zPAddVSdisAvJWKuhuZWQ1OPRxfqkvRtQ3pe2viqYbYbihhNdFNcO6GqolmulmvPglcLMT1JHXqpyWakQ1SDuN2QFjwpfXYxk7gtDdA0KBENb14oEMd5U5KOfhZc54HnOFwGFnys_X75Wv810LPrP-Il3O30j4_UUbd3uAX33GJRUoPSNqxPJzPzHNPMafyiWNsMzm46mPwDFNaH5Q
linkToPdf http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwELfGEIgXxMZX2ACDxreiNnFiOw8IVRvTyqBCbBN9M4njjEoo6ZpW0H-Nv467xGmXauxtz3exEt-nc-ffEbIT88RjQhqXsVS4geQh2FwcgUAERAOR-Un16-LLgB-cBJ-G4XCN_G3uwmBbZeMTK0edFhr_kXcgFAmI9oJFncy2RXzd2_8wPnNxghRWWptxGrWKHJr5bzi-le_7eyDrF76___F498C1EwZcLZicupnmRlaALCxLEikEgt-kqUh1FACH50U6gYwjDOOI430lAemPzwLNdeh3NQRrWPcauS5Y6KGNiaFYtpesIEA3FVUmOyUETYnn-AgoInLnrZi4GhnOhcbVts2V2m0VEvfvkNs2l6W9Wvk2yJrJN8mNqqdUl5tkw_qNkr624NZv7pIjvJFis3-aYp1_aqj5Y5trYLW0aRSho5xCdkoxzmIuTKtxghQ0YZQU6ZxOzNhMpgW47Hvk5Eq2_T5Zz4vcPCQ05MzwNJEyYWGQxV2ZwtYmceR3A8iNpHZIt9lapS3qOQ7f-KWq6juTqpaGAmkolIaaO-Tt4pFxDflxGfMOykshlEaOSnkaz8pS9Y6_7w5UD3JhTDC9yCHPL2LrH31rMb2yTFkB76hje0MCvhRBulqcWy1OPR6dqXPUly3qaS3ji5bZbjGCZ9FtcqOEynq2Ui3t0CHPFmR8Erv1clPMkAdhB-HoIR3yoNbZxU7CEZWDaIAiWtq8YEC88zYlH_2scM954HlMcoe8a_R--Vr_FdCjyz_iKbkJbkR97g8Ot8gtv7JJ7FXaJuvTycw8hoxzmjypTJuSH1ftS_4B2cKMGw
openUrl ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=Commonality+despite+exceptional+diversity+in+the+baseline+human+antibody+repertoire&rft.jtitle=Nature+%28London%29&rft.au=Briney%2C+Bryan&rft.au=Inderbitzin%2C+Anne&rft.au=Joyce%2C+Collin&rft.au=Burton%2C+Dennis+R&rft.date=2019-02-01&rft.issn=1476-4687&rft.eissn=1476-4687&rft.volume=566&rft.issue=7744&rft.spage=393&rft_id=info:doi/10.1038%2Fs41586-019-0879-y&rft.externalDBID=NO_FULL_TEXT
thumbnail_l http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=0028-0836&client=summon
thumbnail_m http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=0028-0836&client=summon
thumbnail_s http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=0028-0836&client=summon