Dataset Open Access

Longitudinal high-throughput TCR repertoire profiling reveals the dynamics of T cell memory formation after mild COVID-19 infection

Anastasia A. Minervina; Ekaterina A. Komech; Aleksei Titov; Meriem Bensouda Koraichi; Elisa Rosati; Ilgar Z. Mamedov; Andre Franke; Grigory A. Efimov; Dmitriy M. Chudakov; Thierry Mora; Aleksandra M. Walczak; Yury B. Lebedev; Mikhail V. Pogorelyy


MARC21 XML Export

<?xml version='1.0' encoding='UTF-8'?>
<record xmlns="http://www.loc.gov/MARC21/slim">
  <leader>00000nmm##2200000uu#4500</leader>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">TCR</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">RepSeq</subfield>
  </datafield>
  <datafield tag="653" ind1=" " ind2=" ">
    <subfield code="a">COVID</subfield>
  </datafield>
  <controlfield tag="005">20200523103836.0</controlfield>
  <datafield tag="500" ind1=" " ind2=" ">
    <subfield code="a">Demultiplexing and UMI-consenuses were done with migec (v. 1.2.7), alignments and assembly of UMI-consensuses into clonotypes performed with mixcr (v. 2.1.11).</subfield>
  </datafield>
  <controlfield tag="001">3835956</controlfield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia</subfield>
    <subfield code="a">Ekaterina A. Komech</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">National Research Center for Hematology, Moscow, Russia</subfield>
    <subfield code="a">Aleksei Titov</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Laboratoire de physique de l'École normale supérieure, PSL, Sorbonne Université́, Université de Paris, and CNRS, Paris, France</subfield>
    <subfield code="a">Meriem Bensouda Koraichi</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany</subfield>
    <subfield code="a">Elisa Rosati</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia</subfield>
    <subfield code="a">Ilgar Z. Mamedov</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Institute of Clinical Molecular Biology, Kiel University, Kiel, Germany</subfield>
    <subfield code="a">Andre Franke</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">National Research Center for Hematology, Moscow, Russia</subfield>
    <subfield code="a">Grigory A. Efimov</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia</subfield>
    <subfield code="a">Dmitriy M. Chudakov</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Laboratoire de physique de l'École normale supérieure, PSL, Sorbonne Université́, Université de Paris, and CNRS, Paris, France</subfield>
    <subfield code="a">Thierry Mora</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Laboratoire de physique de l'École normale supérieure, PSL, Sorbonne Université́, Université de Paris, and CNRS, Paris, France</subfield>
    <subfield code="a">Aleksandra M. Walczak</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia</subfield>
    <subfield code="a">Yury B. Lebedev</subfield>
  </datafield>
  <datafield tag="700" ind1=" " ind2=" ">
    <subfield code="u">Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia</subfield>
    <subfield code="a">Mikhail V. Pogorelyy</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">345166778</subfield>
    <subfield code="z">md5:b8a23fbd0f54b2ab9c1d40152ec40001</subfield>
    <subfield code="u">https://zenodo.org/record/3835956/files/alpha.zip</subfield>
  </datafield>
  <datafield tag="856" ind1="4" ind2=" ">
    <subfield code="s">528913077</subfield>
    <subfield code="z">md5:ace682cb3ea31045f0392c1dab225b6a</subfield>
    <subfield code="u">https://zenodo.org/record/3835956/files/beta.zip</subfield>
  </datafield>
  <datafield tag="542" ind1=" " ind2=" ">
    <subfield code="l">open</subfield>
  </datafield>
  <datafield tag="260" ind1=" " ind2=" ">
    <subfield code="c">2020-05-20</subfield>
  </datafield>
  <datafield tag="909" ind1="C" ind2="O">
    <subfield code="p">openaire_data</subfield>
    <subfield code="p">user-zenodo</subfield>
    <subfield code="p">user-covid-19</subfield>
    <subfield code="o">oai:zenodo.org:3835956</subfield>
  </datafield>
  <datafield tag="100" ind1=" " ind2=" ">
    <subfield code="u">Department of genomics of adaptive immunity, Shemyakin-Ovchinnikov Institute of Bioorganic Chemistry of Russian Academy of Sciences, Russia</subfield>
    <subfield code="a">Anastasia A. Minervina</subfield>
  </datafield>
  <datafield tag="245" ind1=" " ind2=" ">
    <subfield code="a">Longitudinal high-throughput TCR repertoire profiling reveals the dynamics of T cell memory formation after mild COVID-19 infection</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-covid-19</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">user-zenodo</subfield>
  </datafield>
  <datafield tag="540" ind1=" " ind2=" ">
    <subfield code="u">http://creativecommons.org/licenses/by/4.0/legalcode</subfield>
    <subfield code="a">Creative Commons Attribution 4.0 International</subfield>
  </datafield>
  <datafield tag="650" ind1="1" ind2="7">
    <subfield code="a">cc-by</subfield>
    <subfield code="2">opendefinition.org</subfield>
  </datafield>
  <datafield tag="520" ind1=" " ind2=" ">
    <subfield code="a">&lt;p&gt;Processed TCRbeta and TCRalpha repertoires after mild COVID-19 infection,&amp;nbsp;see&amp;nbsp;preprint:&amp;nbsp;&lt;a href="https://www.biorxiv.org/content/10.1101/2020.05.18.100545v1"&gt;https://www.biorxiv.org/content/10.1101/2020.05.18.100545v1&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;and GitHub repository:&amp;nbsp;&lt;a href="https://github.com/pogorely/Minervina_COVID"&gt;https://github.com/pogorely/Minervina_COVID&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;Two donors (M and W), two biological replicates of PBMC&amp;nbsp;(F1 and F2), CD4+, CD8+, and Memory subpopulations&amp;nbsp;for each post-infection time points (day 15, 30, 37, 45 post-infection), and pre-infection PBMC repertoires sampled in 2019 and 2018.&amp;nbsp;&lt;/p&gt;</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">url</subfield>
    <subfield code="i">isSupplementTo</subfield>
    <subfield code="a">https://www.biorxiv.org/content/10.1101/2020.05.18.100545v1</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">url</subfield>
    <subfield code="i">isSupplementTo</subfield>
    <subfield code="a">https://github.com/pogorely/Minervina_COVID</subfield>
  </datafield>
  <datafield tag="773" ind1=" " ind2=" ">
    <subfield code="n">doi</subfield>
    <subfield code="i">isVersionOf</subfield>
    <subfield code="a">10.5281/zenodo.3835955</subfield>
  </datafield>
  <datafield tag="024" ind1=" " ind2=" ">
    <subfield code="a">10.5281/zenodo.3835956</subfield>
    <subfield code="2">doi</subfield>
  </datafield>
  <datafield tag="980" ind1=" " ind2=" ">
    <subfield code="a">dataset</subfield>
  </datafield>
</record>
204
65
views
downloads
All versions This version
Views 204204
Downloads 6565
Data volume 32.9 GB32.9 GB
Unique views 168168
Unique downloads 1919

Share

Cite as