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Author
Bryushkova, Ekaterina A 1 Chudakov, Dmitriy M 1 Izosimova, Anna V 1 Izraelson, Mark 1 Karabut, Maria M 1 Nakonechnaya, Tatiana O 1 Pogorelyy, Mikhail Valerievich 1 Samoylenko, Igor V 1 Serebrovskaya, Ekaterina O 1 Shagina, Irina A 1 Sharonov, George Vladimirovich 1 Volchkova, Lilia N 1 Yuzhakova, Diana Vladimirovna 1 Zagainov, Vladimir E 1 Zagaynova, Elena V 1 Zavyalova, Daria S 1
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Workplace
Adaptive Immunity Group Central European Ins... 1 Department of Molecular Biology Moscow State... 1 Department of Molecular Technologies Institu... 1 Genomics of Adaptive Immunity Department She... 1 Laboratory of Genomics of Antitumor Adaptive... 1 MiLaboratory LLC Skolkovo Innovation Centre ... 1 Oncodermatology Department N N Blokhin Russi... 1 Volga District Medical Centre Under Federal ... 1
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- Most cited
- Yuzhakova, Diana Vladimirovna
- Volchkova, Lilia N
- Pogorelyy, Mikhail Valerievich
- Serebrovskaya, Ekaterina O
- Shagina, Irina A
- Bryushkova, Ekaterina A
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Nakonechnaya, Tatiana O
Author Nakonechnaya, Tatiana O Laboratory of Genomics of Antitumor Adaptive Immunity, Privolzhsky Research Medical University, Nizhny Novgorod, Russia Genomics of Adaptive Immunity Department, Shemyakin and Ovchinnikov Institute of Bioorganic Chemistry, Moscow, Russia Department of Molecular Technologies, Institute of Translational Medicine, Pirogov Russian National Research Medical University, Moscow, Russia
- Izosimova, Anna V
- Zavyalova, Daria S
- Karabut, Maria M
PubMed
32457825
PubMed Central
PMC7227437
DOI
10.3389/fonc.2020.00512
Knihovny.cz E-resources
There is considerable clinical and fundamental value in measuring the clonal heterogeneity of T and B cell expansions in tumors and tumor-associated lymphoid structures-along with the associated heterogeneity of the tumor neoantigen landscape-but such analyses remain challenging to perform. Here, we propose a straightforward approach to analyze the heterogeneity of immune repertoires between different tissue sections in a quantitative and controlled way, based on a beta-binomial noise model trained on control replicates obtained at the level of single-cell suspensions. This approach allows to identify local clonal expansions with high accuracy. We reveal in situ proliferation of clonal T cells in a mouse model of melanoma, and analyze heterogeneity of immunoglobulin repertoires between sections of a metastatically-infiltrated lymph node in human melanoma and primary human colon tumor. On the latter example, we demonstrate the importance of training the noise model on datasets with depth and content that is comparable to the samples being studied. Altogether, we describe here the crucial basic instrumentarium needed to facilitate proper experimental setup planning in the rapidly evolving field of intratumoral immune repertoires, from the wet lab to bioinformatics analysis.
- Keywords
- TCR repertoire, clonal expansions, immunoglobulin repertoire, tumour clonality, tumour heterogeneity,
- Publication type
- Journal Article MeSH
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