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231226s2022 xx |||||o 00| ||eng c |
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|a 10.1016/j.clim.2022.109162
|2 doi
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|a pubmed24n1158.xml
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|a (DE-627)NLM347583385
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|a (NLM)36243349
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|a (PII)S1521-6616(22)00243-1
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|a DE-627
|b ger
|c DE-627
|e rakwb
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|a eng
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| 100 |
1 |
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|a Wang, Guangyu
|e verfasserin
|4 aut
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| 245 |
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|a Comprehensive analysis of B and T cell receptor repertoire in patients after kidney transplantation by high-throughput sequencing
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|c 2022
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|a Text
|b txt
|2 rdacontent
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|a ƒaComputermedien
|b c
|2 rdamedia
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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|a Date Completed 28.11.2022
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|a Date Revised 26.12.2022
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|a published: Print-Electronic
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|a Citation Status MEDLINE
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|a Copyright © 2022. Published by Elsevier Inc.
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|a PURPOSE: The dynamic immunity of kidney transplant patients has not been fully elucidated. In this study, we explored the repertoire features of B/T cell receptor (BCR/TCR) of kidney transplant patients
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|a METHODS: Using combined multiplex PCR amplification and high-throughput sequencing technique, we analyzed the uremic patients' BCR H chain and TCR beta chain repertoire which obtained 1 day before kidney transplantation (PRE-1), 1 day and 7 day after kidney transplantation (POST-1 and POST-7)
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|a RESULTS: Our analysis results showed the diversity of TCRβ CDR3 in POST-7 group was highest. In addition, there were specific skewed usage of TRBV gene subfamilies, and V-J combinations in different time points during kidney transplantation. Moreover, the overlap degrees of BCR-H (TCR-β) CDR3 repertoire among each group were identified. Notably, the abundance of some TCR-β CDR3 sequences changed regularly in the time point of kidney transplantation
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|a CONCLUSIONS: The BCR-H (TCR-β) CDR3 repertoire of kidney transplant patients changed dynamically
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|a Journal Article
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|a Research Support, Non-U.S. Gov't
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|a B cells
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|a Complementarity determining regions
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|a High-throughput sequencing
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|a Immune repertoire
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|a Kidney transplantation
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|a T cells
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| 650 |
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|a Complementarity Determining Regions
|2 NLM
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| 650 |
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|a Receptors, Antigen, B-Cell
|2 NLM
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| 650 |
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7 |
|a Receptors, Antigen, T-Cell
|2 NLM
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| 700 |
1 |
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|a Sui, Weiguo
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Xue, Wen
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Zhang, Junning
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Yang, Xueli
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Mo, Chune
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Pan, Xiaoping
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Ou, Minglin
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Hou, Xianliang
|e verfasserin
|4 aut
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| 773 |
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|i Enthalten in
|t Clinical immunology (Orlando, Fla.)
|d 1999
|g 245(2022) vom: 25. Dez., Seite 109162
|w (DE-627)NLM098196855
|x 1521-7035
|7 nnns
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| 773 |
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|g volume:245
|g year:2022
|g day:25
|g month:12
|g pages:109162
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|u http://dx.doi.org/10.1016/j.clim.2022.109162
|3 Volltext
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|a GBV_USEFLAG_A
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|a SYSFLAG_A
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|a GBV_NLM
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|a GBV_ILN_11
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|a GBV_ILN_24
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|a AR
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