Dataset Open Access

Dynamics of individual T cell repertoires: from cord blood to centenarians

Genomics of Adaptive Immunity Laboratory


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{
  "description": "<p>The dataset contains processed T-cell receptor repertoire sequencing data from 79 individuals of different sex and age, originally published in [1] and [2]. Note that [1] describes only a subset of samples, while [2] describes the full cohort.</p>\n\n<p>The libraries were prepared using a 5'RACE protocol and sequenced on HiSEQ. The libraries incorporate unique molecular identifier (UMI) tags that were mainly used for counting cDNA molecules.\u00a0Preprocessing was performed using the MIGEC software [3] as follows: all UMI tags represented by a single sequencing read were discarded, the remaining UMI tags were used to assemble cDNA consensus sequences. Note that this procedure eliminates most of cross-sample contamination (batch effect) as described in [2]. VDJ partitioning and CDR3 extraction was performed using MiTCR software [4], sequencing error correction was performed using ETE option in MiTCR. All datasets are converted into VDJtools [5] format, see\u00a0http://vdjtools-doc.readthedocs.io/en/latest/input.html#vdjtools-format.</p>\n\n<p><strong>Sample description:</strong></p>\n\n<ul>\n\t<li>The A* in sample identifier is the batch ID.</li>\n\t<li>Age and sex data is provided in the metadata.txt file.</li>\n\t<li>Samples having age \"0\" are umbilical cord blood samples.</li>\n</ul>\n\n<p><strong>Contributors:</strong></p>\n\n<ul>\n\t<li>The T-cell repertoire aging study was a project ran in the Genomics of Adaptive Immunity Lab (Prof. Dmitry Chudakov)</li>\n\t<li>The samples were acquired, prepared and sequenced by Dr. Olga Britanova</li>\n\t<li>The data was analyzed and uploaded by Dr. Mikhail Shugay</li>\n</ul>\n\n<p><strong>Citations:</strong></p>\n\n<ul>\n\t<li>[1]\u00a0OV Britanova, EV Putintseva, M Shugay, EM Merzlyak, MA Turchaninova, et al.\u00a0Age-related decrease in TCR repertoire diversity\u00a0measured with deep and normalized sequence profiling.\u00a0The Journal of Immunology 2014;\u00a0192 (6), 2689-2698</li>\n\t<li>[2]\u00a0OV Britanova, M Shugay, EM Merzlyak, DB Staroverov, EV Putintseva, et al.\u00a0Dynamics of individual T cell repertoires: from cord blood to centenarians.\u00a0The Journal of Immunology 2016; 196 (12), 5005-5013</li>\n\t<li>[3]\u00a0M Shugay, OV Britanova, EM Merzlyak, MA Turchaninova, IZ Mamedov, et al.\u00a0Towards error-free profiling of immune repertoires.\u00a0Nature methods 2014; 11 (6), 653-655</li>\n\t<li>[4]\u00a0DA Bolotin, M Shugay, IZ Mamedov, EV Putintseva, MA Turchaninova, et al.\u00a0MiTCR: software for T-cell receptor sequencing data analysis.\u00a0Nature methods 2013; 10 (9), 813-814</li>\n\t<li>[5]\u00a0M Shugay, DV Bagaev, MA Turchaninova, DA Bolotin, OV Britanova, et al.\u00a0VDJtools: unifying post-analysis of T cell receptor repertoires.\u00a0PLoS computational biology 2015; 11 (11), e1004503</li>\n</ul>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Institute of Bioorganic Chemistry, Russian Academy of Sciences", 
      "@type": "Person", 
      "name": "Genomics of Adaptive Immunity Laboratory"
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  "url": "https://zenodo.org/record/826447", 
  "datePublished": "2017-07-13", 
  "keywords": [
    "t-cell", 
    "immune repertoire", 
    "sequencing", 
    "immunology"
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  "identifier": "https://doi.org/10.5281/zenodo.826447", 
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  "@type": "Dataset", 
  "name": "Dynamics of individual T cell repertoires: from cord blood to centenarians"
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