Využití deep-sequencing při studiu závislostí průběhu lentivirové infekce na variabilitě receptorů přirozené imunity.
Jana Zelníková Analysis of association of MHC and KIR variants with the course of lentivirus induced disease by next-generation sequencing Thesis Univerzita Karlova v Praze, Farmaceutická fakulta v Hradci Králové Farmacie Background: The aim of this work was to use the SIV infection in macaques (the...
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ndltd-nusl.cz-oai-invenio.nusl.cz-3366272021-03-29T05:12:33Z Využití deep-sequencing při studiu závislostí průběhu lentivirové infekce na variabilitě receptorů přirozené imunity. Analysis of association of MHC and KIR variants with the course of lentivirus induced disease by next-generation sequencing. Zelníková, Jana Jílek, Petr Červený, Lukáš Jana Zelníková Analysis of association of MHC and KIR variants with the course of lentivirus induced disease by next-generation sequencing Thesis Univerzita Karlova v Praze, Farmaceutická fakulta v Hradci Králové Farmacie Background: The aim of this work was to use the SIV infection in macaques (the only available model of human HIV infection) to show potential differences in MHC I haplotypes in macaques experimentally infected with SIVmac239 (or SHIV clade C) and their correlation with low or high viral loads, using pyrosequencing. Methods: The RNA samples from leukocytes from experimental macaques were reversely transcribed into cDNA and subjected to PCR of the 190 bp fragment of MHC I using fusion primers containing MIDs and FastStart High Fidelity Taq DNA polymerase. Subsequently the PCR generated samples were subjected to pyrosequencing using GS Junior System (Roche) according to the manufacturer`s protocol. The generated data were analyzed by a series of data filtration steps using scripts in Python and subsequently by DNAStar Lasergene 11. Final alleles were identified by ncbi-blast+ 2.25. Results: A total of 98 known aleles and 11 new aleles of MHC class I were found. The analysis identified those aleles, which correlate with fast or slow disease course. The aleles associated with slow... 2014 info:eu-repo/semantics/masterThesis http://www.nusl.cz/ntk/nusl-336627 cze info:eu-repo/semantics/restrictedAccess |
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Dissertation |
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Jana Zelníková Analysis of association of MHC and KIR variants with the course of lentivirus induced disease by next-generation sequencing Thesis Univerzita Karlova v Praze, Farmaceutická fakulta v Hradci Králové Farmacie Background: The aim of this work was to use the SIV infection in macaques (the only available model of human HIV infection) to show potential differences in MHC I haplotypes in macaques experimentally infected with SIVmac239 (or SHIV clade C) and their correlation with low or high viral loads, using pyrosequencing. Methods: The RNA samples from leukocytes from experimental macaques were reversely transcribed into cDNA and subjected to PCR of the 190 bp fragment of MHC I using fusion primers containing MIDs and FastStart High Fidelity Taq DNA polymerase. Subsequently the PCR generated samples were subjected to pyrosequencing using GS Junior System (Roche) according to the manufacturer`s protocol. The generated data were analyzed by a series of data filtration steps using scripts in Python and subsequently by DNAStar Lasergene 11. Final alleles were identified by ncbi-blast+ 2.25. Results: A total of 98 known aleles and 11 new aleles of MHC class I were found. The analysis identified those aleles, which correlate with fast or slow disease course. The aleles associated with slow... |
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Jílek, Petr |
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Jílek, Petr Zelníková, Jana |
author |
Zelníková, Jana |
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Zelníková, Jana Využití deep-sequencing při studiu závislostí průběhu lentivirové infekce na variabilitě receptorů přirozené imunity. |
author_sort |
Zelníková, Jana |
title |
Využití deep-sequencing při studiu závislostí průběhu lentivirové infekce na variabilitě receptorů přirozené imunity. |
title_short |
Využití deep-sequencing při studiu závislostí průběhu lentivirové infekce na variabilitě receptorů přirozené imunity. |
title_full |
Využití deep-sequencing při studiu závislostí průběhu lentivirové infekce na variabilitě receptorů přirozené imunity. |
title_fullStr |
Využití deep-sequencing při studiu závislostí průběhu lentivirové infekce na variabilitě receptorů přirozené imunity. |
title_full_unstemmed |
Využití deep-sequencing při studiu závislostí průběhu lentivirové infekce na variabilitě receptorů přirozené imunity. |
title_sort |
využití deep-sequencing při studiu závislostí průběhu lentivirové infekce na variabilitě receptorů přirozené imunity. |
publishDate |
2014 |
url |
http://www.nusl.cz/ntk/nusl-336627 |
work_keys_str_mv |
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