Back to Search
Start Over
Persisting fetal clonotypes influence the structure and overlap of adult human T cell receptor repertoires
- Source :
- PLoS Computational Biology, Vol 13, Iss 7, p e1005572 (2017), PLoS Computational Biology, PLoS Computational Biology, Public Library of Science, 2017, 13 (7), pp.e1005572. ⟨10.1371/journal.pcbi.1005572⟩, PLoS Computational Biology, 2017, 13 (7), pp.e1005572. ⟨10.1371/journal.pcbi.1005572⟩
- Publication Year :
- 2016
- Publisher :
- Cold Spring Harbor Laboratory, 2016.
-
Abstract
- The diversity of T-cell receptors recognizing foreign pathogens is generated through a highly stochastic recombination process, making the independent production of the same sequence rare. Yet unrelated individuals do share receptors, which together constitute a “public” repertoire of abundant clonotypes. The TCR repertoire is initially formed prenatally, when the enzyme inserting random nucleotides is downregulated, producing a limited diversity subset. By statistically analyzing deep sequencing T-cell repertoire data from twins, unrelated individuals of various ages, and cord blood, we show that T-cell clones generated before birth persist and maintain high abundances in adult organisms for decades, slowly decaying with age. Our results suggest that large, low-diversity public clones are created during pre-natal life, and survive over long periods, providing the basis of the public repertoire.<br />Author summary The enormous diversity of T-cell receptor (TCR) molecules allows our adaptive immune system to recognize and fight infections. TCRs are formed through the stochastic rearrangement of DNA. By analysing human repertoire sequences of identical twins using a statistical model for TCR formation, we identified T-cells that were exchanged between twin embryos during pregnancy. We exploited the slightly different recombination statistics between fetal clonotypes and mature ones to track their relative fractions in adult T-cell repertoires of different ages. We showed that the decay of fetal clonotypes with age is extremely slow, spanning several decades. Our findings suggest that an important part of our adaptive immune system is formed before birth.
- Subjects :
- 0301 basic medicine
Aging
Physiology
[SDV]Life Sciences [q-bio]
Twins
T-Cell Antigen Receptor Specificity
Immune Receptors
Biochemistry
White Blood Cells
Cognition
Learning and Memory
0302 clinical medicine
Animal Cells
Medicine and Health Sciences
Receptor
lcsh:QH301-705.5
Cells, Cultured
Genetics
Recombination, Genetic
0303 health sciences
Immune System Proteins
Ecology
T Cells
Repertoire
Gene Expression Regulation, Developmental
Genomics
Acquired immune system
Body Fluids
3. Good health
Blood
Computational Theory and Mathematics
Modeling and Simulation
Cord blood
Anatomy
Cellular Types
Research Article
Signal Transduction
Immune Cells
Molecular Sequence Data
Immunology
Receptors, Antigen, T-Cell
Nucleotide Sequencing
Biology
Gene Rearrangement, T-Lymphocyte
Research and Analysis Methods
Deep sequencing
Cellular and Molecular Neuroscience
03 medical and health sciences
Memory
Genetic variation
Humans
Quantitative Biology - Genomics
Quantitative Biology - Populations and Evolution
Molecular Biology Techniques
Sequencing Techniques
Molecular Biology
Ecology, Evolution, Behavior and Systematics
030304 developmental biology
Cloning
Genomics (q-bio.GN)
Fetus
Blood Cells
Sequence Assembly Tools
Base Sequence
T-cell receptor
Populations and Evolution (q-bio.PE)
Genetic Variation
Biology and Life Sciences
Proteins
Computational Biology
Twins, Monozygotic
Cell Biology
Genome Analysis
Tcr repertoire
T Cell Receptors
030104 developmental biology
lcsh:Biology (General)
Evolutionary biology
FOS: Biological sciences
Cognitive Science
Developmental Biology
Neuroscience
030215 immunology
Subjects
Details
- ISSN :
- 1553734X and 15537358
- Database :
- OpenAIRE
- Journal :
- PLoS Computational Biology, Vol 13, Iss 7, p e1005572 (2017), PLoS Computational Biology, PLoS Computational Biology, Public Library of Science, 2017, 13 (7), pp.e1005572. ⟨10.1371/journal.pcbi.1005572⟩, PLoS Computational Biology, 2017, 13 (7), pp.e1005572. ⟨10.1371/journal.pcbi.1005572⟩
- Accession number :
- edsair.doi.dedup.....f79de70b63d4e98f760bf76e9d551103