Differentially Expressed Gene Transcripts Using RNA Sequencing from the Blood of Immunosuppressed Kidney Allograft Recipients

被引:21
作者
Dorr, Casey [1 ,2 ]
Wu, Baolin [3 ]
Guan, Weihua [3 ]
Muthusamy, Amutha [1 ]
Sanghavi, Kinjal [4 ]
Schladt, David P. [1 ]
Maltzman, Jonathan S. [5 ]
Scherer, Steven E. [6 ]
Brott, Marcia J. [4 ]
Matas, Arthur J. [7 ]
Jacobson, Pamala A. [4 ]
Oetting, William S. [4 ]
Israni, Ajay K. [1 ,2 ,8 ]
机构
[1] Minneapolis Med Res Fdn Inc, Minneapolis, MN 55415 USA
[2] Univ Minnesota, Hennepin Cty Med Ctr, Dept Med, Minneapolis, MN 55415 USA
[3] Univ Minnesota, Div Biostat, Minneapolis, MN USA
[4] Univ Minnesota, Coll Pharm, Minneapolis, MN 55455 USA
[5] Univ Penn, Dept Med, Perelman Sch Med, Philadelphia, PA 19104 USA
[6] Baylor Coll Med, Dept Mol & Human Genet, Dallas, TX USA
[7] Univ Minnesota, Dept Surg, Minneapolis, MN 55455 USA
[8] Univ Minnesota, Sch Med, Dept Epidemiol & Community Hlth, Minneapolis, MN 55455 USA
关键词
PERIPHERAL-BLOOD; TRANSPLANT REJECTION; T-CELLS; THERAPY; INJURY; TOPHAT;
D O I
10.1371/journal.pone.0125045
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
We performed RNA sequencing (RNAseq) on peripheral blood mononuclear cells (PBMCs) to identify differentially expressed gene transcripts (DEGs) after kidney transplantation and after the start of immunosuppressive drugs. RNAseq is superior to microarray to determine DEGs because it's not limited to available probes, has increased sensitivity, and detects alternative and previously unknown transcripts. DEGs were determined in 32 adult kidney recipients, without clinical acute rejection (AR), treated with antibody induction, calcineurin inhibitor, mycophenolate, with and without steroids. Blood was obtained pre-transplant (baseline), week 1, months 3 and 6 post-transplant. PBMCs were isolated, RNA extracted and gene expression measured using RNAseq. Principal components (PCs) were computed using a surrogate variable approach. DEGs post-transplant were identified by controlling false discovery rate (FDR) at < 0.01 with at least a 2 fold change in expression from pre-transplant. The top 5 DEGs with higher levels of transcripts in blood at week 1 were TOMM40L, TMEM205, OLFM4, MMP8, and OSBPL9 compared to baseline. The top 5 DEGs with lower levels at week 1 post-transplant were IL7R, KLRC3, CD3E, CD3D, and KLRC2 (Striking Image) compared to baseline. The top pathways from genes with lower levels at 1 week post-transplant compared to baseline, were T cell receptor signaling and iCOS-iCOSL signaling while the top pathways from genes with higher levels than baseline were axonal guidance signaling and LXR/RXR activation. Gene expression signatures at month 3 were similar to week 1. DEGs at 6 months post-transplant create a different gene signature than week 1 or month 3 post-transplant. RNAseq analysis identified more DEGs with lower than higher levels in blood compared to baseline at week 1 and month 3. The number of DEGs decreased with time post-transplant. Further investigations to determine the specific lymphocyte(s) responsible for differential gene expression may be important in selecting and personalizing immune suppressant drugs and may lead to targeted therapies.
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页数:14
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