Please wait a minute...
浙江大学学报(医学版)  2019, Vol. 48 Issue (6): 587-593    DOI: 10.3785/j.issn.1008-9292.2019.12.01
原著     
缺血性脑损伤大鼠外周血动态共表达网络分析
潘宗富1(),胡晓平1,张轶雯1,李莉2,*(),黄萍1,*()
1. 浙江省人民医院 杭州医学院附属人民医院药学部, 浙江 杭州 310014
2. 浙江省淳安县第一人民医院(浙江省人民医院淳安分院)药剂科, 浙江 杭州 311700
Identification of dynamic co-expression networks in peripheral blood of rats after middle cerebral artery occlusion
PAN Zongfu1(),HU Xiaoping1,ZHANG Yiwen1,LI Li2,*(),HUANG Ping1,*()
1. Department of Pharmacy, Zhejiang Provincial People's Hospital, People's Hospital of Hangzhou Medical College, Hangzhou 310014, China
2. Department of Pharmacy, First People's Hospital of Chun'an, Hangzhou 311700, China
 全文: PDF(1095 KB)   HTML( 50 )
摘要:

目的: 研究大脑中动脉栓塞(MCAO)大鼠不同造模时程外周血的特异表达基因及特征共表达网络模块。方法: 利用GEO数据库的基因表达谱芯片GSE119121联合R语言分析MCAO造模后不同时间点(0、1、2、3、6及24 h)外周血的差异表达基因。通过STEM工具筛选不同造模时程基因表达模式。利用基因本体(GO)数据库和京都基因与基因组百科全书(KEGG)数据库对差异表达的基因进行功能注释和通路富集。在R语言环境下利用CEMiTool包对基因表达谱矩阵进行共表达网络构建及模块分析,并将模块与不同造模时间点进行富集分析。结果: 与造模0 h相比,造模后1、2、3、6及24 h差异表达基因数分别为163、502、527、550、75。共有38种基因表达模式被富集,其中模式65和模式34分别在2~6 h特异上调或下调,HpNos2P2ry10Klf12为两种模式的代表性基因。共表达网络模块分析显示,造模急性期早期(1~6 h)基因状态与模块2正相关,造模1~3 h基因状态与模块3正相关,造模2~6 h基因变化与模块4正相关。基因模块6随着造模时间的迁移,与各时间点从正相关(0~2 h)逐渐转为负相关(3~24 h),模块6主要与病毒应答及固有免疫应答相关,其网络核心节点包括Mx1Mx2Rtp4等基因。结论: 本研究初步筛选了缺血性脑卒中急性发病期大鼠外周血的特征基因及动态共表达网络模块,为探究缺血性脑卒中的病理生理变化规律提供了依据。

关键词: 缺氧缺血, 脑/血液卒中/血液基因表达基因调控网络    
Abstract:

Objective: To identify the time dependent profiles of gene expression and featured co-expression network modules in peripheral blood of rats after middle cerebral artery occlusion (MCAO). Methods: Microarray GSE119121 from GEO database was analyzed by R language to identify the significantly changed genes in peripheral blood at different time points (0, 1, 2, 3, 6 and 24 h) after MCAO. Gene expression patterns at different time courses were screened by STEM tools. Then, function annotation and pathway enrichment of differentially expressed genes (DEGs) were performed using the Gene Ontology (GO) database and the Kyoto Gene and Genomic Encyclopedia (KEGG) database. Depending on CEMiTool package, gene expression profile matrix was inputted into R to construct the co-expression networks and to analyze modules, and enrichment analysis was conducted to evaluate the correlation between the modules and different time points. Results: Comparing with gene at 0 h, the numbers of DEGs in peripheral blood at different time points after MCAO were 163 (1 h), 502 (2 h), 527 (3 h), 550 (6 h), and 75 (24 h), respectively. Moreover, a total of 38 gene expression patterns were enriched, and pattern 65 and pattern 34 were specifically up-regulated or down-regulated at 2-6 h. Hp, Nos2, P2ry10, and Klf12 were representative genes of these two models. The co-expression network module analysis showed that the gene status in the early acute phase (1-6 h) was positively correlated with the Module 2. Module 3 and Module 4 was positively correlated with phase phase 1-3 h and 2-6 h, respectively. Noteworthy, Module 6 gradually changed from positive correlation (0-2 h) to negative correlation (3-24 h) with the MCAO time course, and Module 6 was mainly related to viral response and innate immune response. The hub genes of Module 6 included Mx1, Mx2, and Rtp4. Conclusion: Our study has identified the featured genes and dynamic co-expression network modules in peripheral blood after acute ischemic stroke, which provides a potential basis for judging the onset time of ischemic stroke.

Key words: Hypoxia-ischemia, brain/blood    Stroke/blood    Gene expression    Gene regulatory networks
收稿日期: 2019-06-08 出版日期: 2020-01-19
CLC:  R743.3  
基金资助: 国家自然科学基金(81802673);浙江省公益性技术研究计划(LQ18H160017);浙江省医药卫生科技计划(2017KY023);杭州市卫生科技计划(2017B56)
通讯作者: 李莉,黄萍     E-mail: panzongfu@163.com;420683321@qq.com;huangping1841@zjcc.org.cn
作者简介: 潘宗富(1989—), 男, 博士, 主管药师, 主要从事神经再生研究; E-mail:panzongfu@163.com; https://orcid.org/0000-0002-4054-6660
服务  
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章  
潘宗富
胡晓平
张轶雯
李莉
黄萍

引用本文:

潘宗富,胡晓平,张轶雯,李莉,黄萍. 缺血性脑损伤大鼠外周血动态共表达网络分析[J]. 浙江大学学报(医学版), 2019, 48(6): 587-593.

PAN Zongfu,HU Xiaoping,ZHANG Yiwen,LI Li,HUANG Ping. Identification of dynamic co-expression networks in peripheral blood of rats after middle cerebral artery occlusion. J Zhejiang Univ (Med Sci), 2019, 48(6): 587-593.

链接本文:

http://www.zjujournals.com/med/CN/10.3785/j.issn.1008-9292.2019.12.01        http://www.zjujournals.com/med/CN/Y2019/V48/I6/587

上调基因 Log差异倍数 校正后的P
Fpr1 2.37 1.74×10-9
Il1r2 2.29 3.88×10-12
Mrgprx3 2.16 3.39×10-12
Mmp9 2.06 1.85×10-9
Ifitm6 1.89 4.06×10-8
Olfm4 1.78 2.24×10-7
Amica1 1.75 2.50×10-8
Bmx 1.69 4.32×10-9
Mir223 1.68 1.37×10-7
Ldhc 1.64 4.71×10-10
LOC679818 1.63 1.98×10-8
Fkbp5 1.62 1.87×10-11
Pram1 1.55 9.02×10-10
Hp 1.52 4.51×10-8
Stfa3 1.51 0.000505
Cd33 1.51 8.86×10-9
Cd177 1.50 1.47×10-6
Alox5 1.50 8.04×10-9
Ugt8 1.49 5.65×10-9
Dhrs9 1.49 1.78×10-9
Clec5a 1.46 1.21×10-6
Mmp25 1.45 1.24×10-8
Nlrp12 1.44 1.87×10-9
Mcemp1 1.44 1.39×10-9
Camp 1.44 2.04×10-8
LOC24906 1.43 4.82×10-10
Mir292 1.43 4.95×10-7
Dgat2 1.41 1.43×10-8
Il18rap 1.40 2.64×10-9
Cpm 1.39 3.11×10-7
Oas1k 1.38 1.32×10-8
Pglyrp4 1.38 4.83×10-9
Adgrg3 1.37 1.48×10-10
Tnnc1 1.36 1.49×10-6
Fcar 1.36 1.08×10-9
P2ry13 1.36 1.08×10-9
Tcn2 1.34 2.85×10-10
Rab44 1.34 1.51×10-10
Nos2 1.33 8.04×10-9
LOC690020 1.33 4.47×10-6
Hk3 1.33 9.13×10-11
LOC102557597 1.32 2.23×10-6
Lcn2 1.32 7.49×10-5
Aqp9 1.30 1.41×10-7
Rgs1 1.28 0.001199
Rbm47 1.26 3.45×10-8
Tarm1 1.25 1.10×10-5
Alox5ap 1.24 1.71×10-9
LOC689230 1.22 5.29×10-5
Uaca 1.22 3.15×10-8
附表 1  大脑中动脉栓塞模型大鼠造模后1 h外周血上调倍数前50位基因
下调基因 Log差异倍数 校正后的P
Cd79b -1.91 3.47×10-10
Fcmr -1.79 3.88×10-12
Ebf1 -1.79 1.59×10-9
LOC501110 -1.76 2.55×10-8
Fcer2 -1.74 1.06×10-9
B3gnt5 -1.72 2.93×10-9
Fcrla -1.70 1.48×10-10
Hvcn1 -1.67 2.85×10-10
Igd -1.64 1.72×10-10
Ms4a1 -1.61 3.76×10-9
RT1-Da -1.60 4.82×10-10
Pde6h -1.53 1.80×10-7
Cd79al -1.53 4.82×10-10
Swap70 -1.53 7.49×10-12
Cd19 -1.48 1.31×10-10
Bank1 -1.48 3.88×10-12
Rnase6 -1.47 8.79×10-7
Cd180 -1.46 5.10×10-8
Bcl11a -1.40 1.13×10-7
Btla -1.40 3.47×10-10
Nrp1 -1.40 1.69×10-10
Cd209a -1.38 1.08×10-9
Cd74 -1.38 3.76×10-9
Myo1e -1.36 1.87×10-11
Blnk -1.31 1.08×10-9
Eno3 -1.31 9.02×10-10
Kynu -1.27 1.87×10-7
RGD1560455 -1.27 7.87×10-7
Acsl3 -1.26 9.07×10-8
Rnase4 -1.26 3.52×10-7
Gngt2 -1.25 1.71×10-9
LOC100361706 -1.25 1.21×10-9
Qrfpr -1.23 3.56×10-7
LOC100911716 -1.20 2.02×10-8
Ly86 -1.19 1.37×10-7
Samhd1 -1.18 1.52×10-8
Zfp958 -1.17 1.29×10-6
Trpm6 -1.16 4.68×10-8
Mal -1.15 1.82×10-8
Fchsd2 -1.13 1.85×10-9
Ell3 -1.13 3.88×10-8
Akap17b -1.13 1.59×10-9
Crip1 -1.12 1.91×10-6
Cd22 -1.12 2.20×10-7
Ifi30 -1.09 3.40×10-8
Insig1 -1.09 2.29×10-7
Snrpd1 -1.09 0.000153
Cd200 -1.09 2.65×10-9
Plxnb2 -1.07 2.80×10-8
Klf4 -1.07 2.50×10-8
附表 2  大脑中动脉栓塞模型大鼠造模后1 h外周血下调倍数前50位基因
上调基因 Log差异倍数 校正后的P
Il1r2 2.96 1.45×10-14
Ifitm6 2.86 1.10×10-10
Mrgprx3 2.83 4.47×10-14
Fpr1 2.81 1.23×10-11
Mmp9 2.75 6.37×10-12
Hp 2.61 1.49×10-12
Pram1 2.48 7.24×10-14
Olfm4 2.48 7.55×10-10
Mmp25 2.48 2.57×10-12
Cd33 2.47 1.84×10-12
Bmx 2.45 3.97×10-12
Cpm 2.27 4.15×10-11
Nos2 2.26 2.63×10-12
Mir292 2.22 3.04×10-10
Stfa3 2.17 6.88×10-8
Dgat2 2.17 7.12×10-13
LOC679818 2.17 8.00×10-12
Mcemp1 2.16 7.24×10-14
Alox5 2.14 6.00×10-12
Oas1k 2.14 1.37×10-11
Camp 2.13 9.61×10-11
Ldhc 2.13 6.86×10-13
Rab44 2.12 3.24×10-14
Dhrs9 2.11 2.57×10-12
Ppp1r3b 2.10 3.95×10-13
Adgrg6 2.10 1.84×10-12
Amica1 2.09 9.94×10-11
Tas2r126 2.08 2.32×10-9
Tnnc1 2.07 2.57×10-10
Rbm47 2.07 7.65×10-13
Ugt8 2.07 2.49×10-11
Uaca 2.06 3.38×10-12
Hk3 2.06 4.64×10-13
LOC690020 2.04 7.29×10-8
Prok2 2.02 2.39×10-11
LOC689230 2.01 2.92×10-8
Tcn2 2.00 4.59×10-14
Nlrp12 2.00 2.57×10-12
LOC24906 2.00 1.84×10-12
Fkbp5 1.99 3.95×10-13
Slc2a3 1.98 6.82×10-12
LOC102557597 1.95 9.34×10-11
Alox5ap 1.92 1.98×10-13
Tarm1 1.92 2.10×10-9
Stfa2l2 1.91 3.96×10-11
Clec5a 1.91 2.64×10-9
Il18rap 1.90 2.97×10-11
Amdhd1 1.90 1.37×10-11
Cd177 1.89 2.66×10-8
Bcr 1.88 1.16×10-13
附表 3  大脑中动脉栓塞模型大鼠造模后2 h外周血上调倍数前50位基因
下调基因 Log差异倍数 校正后的P
Ms4a1 -2.54 3.24×10-14
Ebf1 -2.36 4.39×10-13
Cd79b -2.33 1.39×10-12
B3gnt5 -2.30 1.39×10-12
Hvcn1 -2.24 4.59×10-14
Fcer2 -2.22 3.74×10-14
RGD1560455 -2.20 8.21×10-11
Fcmr -2.18 3.74×10-14
LOC501110 -2.16 2.57×10-10
Igd -2.16 4.59×10-14
Fcrla -2.11 4.59×10-14
Btla -2.06 5.44×10-13
Cd19 -2.01 5.06×10-14
Rnase6 -2.00 8.35×10-12
Cd79al -1.97 2.97×10-13
Nrp1 -1.96 3.24×10-14
Cd180 -1.96 3.80×10-11
Bcl11a -1.88 2.39×10-11
Bank1 -1.87 3.74×10-14
Pde6h -1.86 2.37×10-9
RT1-Da -1.82 2.83×10-12
Eno3 -1.80 3.69×10-12
Fcrl1 -1.76 2.69×10-10
Trpm6 -1.73 1.93×10-12
Blnk -1.72 2.96×10-13
Kynu -1.67 6.65×10-10
Qrfpr -1.67 1.26×10-9
P2ry10 -1.65 2.68×10-11
Insig1 -1.63 1.50×10-10
LOC100361706 -1.62 1.30×10-11
Gpr174 -1.58 2.47×10-11
Cd209a -1.57 1.56×10-11
Immp1l -1.57 5.86×10-8
Cd74 -1.56 2.41×10-11
Ell3 -1.54 1.63×10-10
Ly86 -1.54 7.50×10-10
Slc25a36 -1.52 3.87×10-8
Cmah -1.51 4.39×10-13
Gngt2 -1.50 2.48×10-10
Lax1 -1.49 8.93×10-11
Swap70 -1.49 1.08×10-13
Myo1e -1.48 6.18×10-13
Cd22 -1.48 1.99×10-11
Rhoh -1.48 1.35×10-11
LOC100911716 -1.47 6.71×10-9
Slc9a7 -1.47 1.64×10-10
Fam49a -1.44 4.35×10-11
LOC499229 -1.44 1.60×10-10
Mal -1.43 1.13×10-10
Ccdc50 -1.42 4.23×10-12
附表 4  大脑中动脉栓塞模型大鼠造模后2 h外周血下调倍数前50位基因
上调基因 Log差异倍数 校正后的P
Hp 3.22 6.28×10-14
Plscr1 3.14 6.49×10-13
Tgm1 3.05 2.66×10-12
Il1r2 3.03 1.74×10-15
Ifitm6 2.94 1.14×10-11
Cd33 2.81 1.56×10-13
Serpinb1a 2.68 1.56×10-13
Nos2 2.66 4.80×10-15
Fpr1 2.57 2.26×10-11
Ugt8 2.56 2.99×10-11
Prok2 2.54 1.07×10-13
Dgat2 2.49 2.63×10-13
Bmx 2.46 1.95×10-12
Mmp25 2.45 2.15×10-13
Dhrs9 2.44 6.86×10-13
Olfm4 2.40 2.06×10-9
Pram1 2.40 2.94×10-13
Cpne8 2.39 1.81×10-11
Dab2 2.33 1.51×10-10
Mmp9 2.33 1.74×10-11
Vcan 2.32 2.27×10-11
Ppp1r3b 2.32 3.68×10-13
Cpm 2.31 1.14×10-11
Mrgprx3 2.22 3.37×10-14
Rab44 2.21 3.66×10-15
Tarm1 2.20 1.80×10-10
P2ry13 2.13 1.29×10-12
Ampd3 2.13 5.53×10-12
Csf2rb 2.12 3.54×10-14
Rrm2 2.12 2.23×10-12
Slc2a3 2.12 8.29×10-12
Rbm47 2.11 1.70×10-10
Oas1k 2.09 1.63×10-12
Mcemp1 2.07 5.12×10-13
Crispld2 2.07 2.73×10-13
Adgrg6 2.06 2.15×10-13
Msr1 2.05 2.36×10-11
Tfec 2.04 1.82×10-8
Slpi 2.03 5.15×10-13
Nlrp12 2.01 3.38×10-12
Slc5a3 2.01 1.51×10-10
Il18rap 1.99 4.99×10-12
LOC679818 1.99 6.06×10-11
Il1rap 1.98 1.87×10-11
Hk2 1.98 3.71×10-12
Tpd52 1.95 1.56×10-13
Gk 1.94 1.04×10-9
Upp1 1.93 1.95×10-12
Mocos 1.92 1.74×10-11
Hk3 1.92 1.51×10-13
附表 5  大脑中动脉栓塞模型大鼠造模后3 h外周血上调倍数前50位基因
下调基因 Log差异倍数 校正后的P
Rnase6 -2.56 3.38×10-12
Ms4a1 -2.48 7.64×10-14
Ebf1 -2.42 5.15×10-13
Cd79b -2.35 1.04×10-12
Fcer2 -2.24 3.60×10-13
Fcrla -2.21 7.54×10-14
LOC501110 -2.21 2.40×10-8
Fcmr -2.18 1.74×10-15
Nrp1 -2.18 1.42×10-14
Cd79al -2.15 1.67×10-13
Cd180 -2.14 8.93×10-11
Igd -2.14 1.67×10-13
Btla -2.13 9.53×10-13
Hvcn1 -2.10 2.71×10-12
Eno3 -2.06 1.66×10-14
B3gnt5 -2.03 6.49×10-13
Cd19 -2.00 1.64×10-12
RGD1560455 -1.98 4.79×10-8
Bank1 -1.91 3.40×10-15
Gngt2 -1.87 1.64×10-12
Pde6h -1.87 2.84×10-10
Ly86 -1.83 8.27×10-10
P2ry10 -1.80 3.61×10-10
LOC100361706 -1.79 3.32×10-13
Dnase2b -1.76 6.94×10-10
Trpm6 -1.73 4.59×10-11
Heg1 -1.72 1.67×10-13
Gpr174 -1.71 4.81×10-10
Blnk -1.65 6.49×10-13
Cd209a -1.65 1.30×10-11
Il5ra -1.64 8.27×10-12
Hmgn3 -1.64 1.43×10-10
Cd22 -1.63 1.22×10-11
Xkrx -1.62 5.78×10-9
Cmah -1.60 3.38×10-12
Nr4a1 -1.60 1.91×10-10
Qrfpr -1.59 3.55×10-9
Slc6a12 -1.58 6.40×10-12
Mal -1.58 7.79×10-11
Ccdc50 -1.55 2.15×10-12
Fam49a -1.55 8.21×10-10
Spn -1.54 1.56×10-12
Lax1 -1.52 6.04×10-11
Klf12 -1.52 5.20×10-12
Adgre1 -1.52 2.08×10-9
Fcrl1 -1.51 5.40×10-11
Cd24 -1.50 1.90×10-10
Bcl11a -1.50 2.28×10-10
Trat1 -1.49 1.23×10-8
Ell3 -1.48 8.40×10-12
附表 6  大脑中动脉栓塞模型大鼠造模后3 h外周血下调倍数前50位基因
上调基因 Log差异倍数 校正后的P
Tgm1 4.06 1.99×10-12
Cpne8 3.76 6.80×10-15
Ifitm6 3.61 7.01×10-12
Hp 3.57 1.72×10-13
Serpinb1a 3.50 6.80×10-15
Olfm4 3.31 4.23×10-10
Il1r2 3.31 8.33×10-15
Prok2 3.17 1.01×10-13
Clec4b2 3.16 5.43×10-13
Adgb 3.10 1.31×10-11
Cd33 3.07 4.97×10-13
Plscr1 2.97 3.36×10-13
Wfdc15b 2.84 6.80×10-15
Mmp25 2.83 1.31×10-11
Ugt8 2.83 4.91×10-12
Lcn2 2.79 7.32×10-8
Il1rap 2.77 7.32×10-13
Slpi 2.75 1.01×10-13
Rrm2 2.72 3.11×10-13
Bmx 2.70 2.49×10-12
Dgat2 2.67 3.41×10-12
Car4 2.67 2.43×10-10
Sycp2 2.63 4.57×10-12
Gk 2.62 7.97×10-12
Tas2r126 2.62 1.79×10-10
Msr1 2.61 1.12×10-11
Tarm1 2.59 1.06×10-10
Nos2 2.58 3.41×10-12
Fpr1 2.57 1.97×10-10
Oscar 2.55 6.72×10-12
Slc2a3 2.55 3.23×10-12
Il22ra2 2.54 1.43×10-12
Slc5a3 2.49 4.01×10-13
Ampd3 2.48 1.55×10-11
Mmp9 2.43 2.43×10-10
LOC102557597 2.42 2.62×10-10
Vcan 2.42 1.92×10-11
Pram1 2.40 2.43×10-12
Ccr1 2.40 8.43×10-12
Tas2r143 2.36 5.07×10-12
Nlrp12 2.35 5.07×10-12
Crispld2 2.35 4.16×10-12
Tas2r135 2.34 2.51×10-9
Gca 2.31 7.33×10-10
Cpm 2.31 8.47×10-11
Alox5ap 2.31 2.73×10-13
P2ry13 2.29 8.30×10-13
Csf2rb 2.26 3.69×10-12
RGD1307182 2.26 1.72×10-11
Alpk1 2.25 5.49×10-11
附表 7  大脑中动脉栓塞模型大鼠造模后6 h外周血上调倍数前50位基因
下调基因 Log差异倍数 校正后的P
Rnase6 -2.58 7.17×10-11
Eno3 -2.23 1.38×10-13
Mx2 -2.16 6.58×10-14
Fcer2 -2.07 6.49×10-12
Ebf1 -1.95 1.77×10-11
Ms4a1 -1.94 4.04×10-11
Cd79al -1.93 7.32×10-13
Adgre1 -1.93 3.78×10-10
Dnase2b -1.92 6.01×10-10
Fcrla -1.91 2.30×10-12
Cd79b -1.89 1.16×10-10
Fcmr -1.88 5.16×10-13
Slc6a12 -1.82 1.10×10-12
Hvcn1 -1.78 8.00×10-12
Il5ra -1.72 6.34×10-10
Nrp1 -1.72 3.56×10-11
Mx1 -1.71 1.10×10-12
P2ry10 -1.69 9.78×10-9
LOC100361706 -1.66 1.31×10-11
Cd19 -1.66 1.05×10-11
Btla -1.62 1.49×10-9
Emr4 -1.59 2.32×10-8
LOC103692555 -1.59 9.79×10-5
Ly86 -1.58 1.77×10-9
Cd180 -1.58 8.22×10-10
Cd4 -1.58 3.41×10-12
Igd -1.57 3.58×10-10
MGC108823 -1.55 9.90×10-8
Gpr174 -1.54 2.76×10-8
Cd24 -1.53 6.19×10-10
LOC501110 -1.53 1.09×10-7
Bank1 -1.52 1.58×10-11
Bcl2 -1.52 9.74×10-12
Camk2d -1.50 1.00×10-10
Ddx60 -1.49 1.18×10-8
Blnk -1.48 6.79×10-11
B3gnt5 -1.48 5.04×10-9
Myo1e -1.47 2.36×10-11
Cxcl16 -1.47 1.73×10-9
Heg1 -1.47 9.74×10-12
Trpm6 -1.47 1.32×10-9
Nr4a1 -1.46 4.71×10-10
Lbh -1.45 8.22×10-10
Gngt2 -1.45 4.08×10-11
Gapt -1.45 1.39×10-8
RGD1309362 -1.44 7.49×10-9
Cd28 -1.44 1.26×10-8
Mras -1.44 1.92×10-11
Ms4a6c -1.43 5.39×10-8
Atp2b4 -1.43 4.11×10-11
附表 8  大脑中动脉栓塞模型大鼠造模后6 h外周血下调倍数前50位基因
上调基因 Log差异倍数 校正后的P
Fetub 1.96 3.27×10-6
Cd33 1.87 3.31×10-7
Cpne8 1.80 1.06×10-5
Clec4b2 1.64 1.81×10-5
Tas2r126 1.55 6.15×10-6
Prok2 1.52 6.54×10-6
LOC679818 1.49 4.84×10-6
Serpinb1a 1.47 0.000168
Tarm1 1.47 6.78×10-6
Oscar 1.42 9.67×10-6
Prg4 1.40 0.000124
Adgb 1.37 0.000141
Bmx 1.35 1.14×10-5
Nlrp12 1.32 4.02×10-6
Serpinb2 1.31 1.08×10-5
Wfdc15b 1.30 1.20×10-7
Nek10 1.30 0.000397
Car4 1.26 8.91×10-5
Il22ra2 1.26 1.29×10-5
Ugt8 1.24 3.36×10-5
Slc12a2 1.23 4.73×10-7
Slpi 1.23 2.27×10-5
Il1r2 1.23 0.00013
Tfrc 1.22 8.13×10-7
Mir223 1.21 6.63×10-5
Ampd3 1.18 6.42×10-5
Slc7a11 1.17 5.61×10-6
Slc2a3 1.17 8.30×10-5
Mir292 1.16 2.30×10-5
Tspan8 1.16 1.99×10-5
Dgat2 1.14 0.000201
Mmp25 1.14 7.08×10-5
Mcemp1 1.14 0.000123
Tas2r143 1.13 1.59×10-5
Fpr1 1.13 0.000638
Il1rap 1.12 6.03×10-5
Bco1 1.11 2.07×10-7
Siglec8 1.10 2.60×10-5
Vcan 1.07 5.38×10-5
Gk 1.06 0.000146
Ccr1 1.05 0.000726
Ifitm6 1.05 0.014119
Fbxl5 1.03 1.32×10-5
Sort1 1.02 6.98×10-7
Fam92a1 1.01 2.22×10-7
Tns1 1.01 2.10×10-5
Bst1 1.01 2.93×10-5
Mir290 1.01 2.27×10-5
附表 9  大脑中动脉栓塞模型大鼠造模后24 h外周血上调基因
下调基因 Log差异倍数 校正后的P
Mx2 -2.15 2.53×10-11
Rnase6 -1.84 1.87×10-7
Rtp4 -1.76 2.49×10-9
Mx1 -1.59 2.49×10-9
Igj -1.50 1.23×10-7
MGC108823 -1.34 1.38×10-6
LOC102556096 -1.29 2.92×10-6
Eno3 -1.26 3.02×10-7
Oas1b -1.21 7.97×10-7
LOC689230 -1.21 0.000732
Irgm -1.17 1.87×10-7
Ddx60 -1.14 3.27×10-6
Nrp1 -1.13 3.21×10-7
Ly6e -1.10 4.76×10-7
Slc6a12 -1.10 2.07×10-7
LOC100362391 -1.07 2.77×10-6
Spn -1.07 1.87×10-7
Slamf9 -1.07 4.73×10-7
Snrpd1 -1.04 0.00011
RGD1309362 -1.03 3.31×10-7
Epsti1 -1.02 1.20×10-7
Mras -1.02 8.15×10-8
Trat1 -1.02 3.52×10-6
Snrpf -1.01 3.87×10-5
Ngp -1.00 0.003918
Oas2 -1.00 8.13×10-7
附表 10  大脑中动脉栓塞模型大鼠造模后24 h外周血下调基因
附图1  大脑中动脉栓塞模型大鼠造模后外周血差异表达基因及特征基因
附图2  MCAO造模后不同时间点外周血差异基因的基因本体(生物进程)注释
附图3  MCAO造模后不同时间点外周血差异基因的KEGG通路富集
附图4  MCAO造模不同时间点外周血特征共表达模块分析
附图5  共表达模块蛋白互作用网络构建及核心基因分析
附图6  共表达模块基因本体注释及KEGG通路富集
1 MURRAY C J , LOPEZ A D . Measuring the global burden of disease[J]. N Engl J Med, 2013, 369 (5): 448- 457
doi: 10.1056/NEJMra1201534
2 WANG J , AN Z , LI B et al. Increasing stroke incidence and prevalence of risk factors in a low-income Chinese population[J]. Neurology, 2015, 84 (4): 374- 381
doi: 10.1212/WNL.0000000000001175
3 HACKE W , KASTE M , BLUHMKI E et al. Thrombolysis with alteplase 3 to 4.5 hours after acute ischemic stroke[J]. N Engl J Med, 2008, 359 (13): 1317- 1329
doi: 10.1056/NEJMoa0804656
4 FAIZ K W , SUNDSETH A , THOMMESSEN B et al. Reasons for low thrombolysis rate in a Norwegian ischemic stroke population[J]. Neurol Sci, 2014, 35 (12): 1977- 1982
doi: 10.1007/s10072-014-1876-4
5 FINK J N , SELIM M H , KUMAR S et al. Why are stroke patients excluded from tPA therapy? An analysis of patient eligibility[J]. Neurology, 2001, 57 (9): 1739- 1740
doi: 10.1212/WNL.57.9.1739
6 MOORE D F , LI H , JEFFRIES N et al. Using peripheral blood mononuclear cells to determine a gene expression profile of acute ischemic stroke:a pilot investigation[J]. Circulation, 2005, 111 (2): 212- 221
doi: 10.1161/01.CIR.0000152105.79665.C6
7 STAMOVA B , XU H , JICKLING G et al. Gene expression profiling of blood for the prediction of ischemic stroke[J]. Stroke, 2010, 41 (10): 2171- 2177
doi: 10.1161/STROKEAHA.110.588335
8 WANG Q , TANG X N , YENARI M A . The inflammatory response in stroke[J]. J Neuroimmunol, 2007, 184 (1-2): 53- 68
doi: 10.1016/j.jneuroim.2006.11.014
9 DAGONNIER M, WILSON W J, FAVALORO J M, et al. Hyperacute changes in blood mRNA expression profiles of rats after middle cerebral artery occlusion: Towards a stroke time signature[J/OL]. PLoS One, 2018, 13(11): e0206321.
10 SMYTH G K. limma: linear models for microarray data[M]//GENTLEMAN R, VINCENT J, CAREY V J, et al. Bioinformatics and computational biology solutions using R and bioconductor. Springer, 2011: 397-420.
11 ERNST J , BAR-JOSEPH Z . STEM:a tool for the analysis of short time series gene expression data[J]. BMC Bioinformatics, 2006, 7: 191
doi: 10.1186/1471-2105-7-191
12 RUSSO P S T , FERREIRA G R , CARDOZO L E et al. CEMiTool:a Bioconductor package for performing comprehensive modular co-expression analyses[J]. BMC Bioinformatics, 2018, 19 (1): 56
doi: 10.1186/s12859-018-2053-1
13 SAVER J L . Time is brain-quantified[J]. Stroke, 2006, 37 (1): 263- 266
doi: 10.1161/01.STR.0000196957.55928.ab
14 MINNERUP J , WERSCHING H , RINGELSTEIN E B et al. Impact of the extended thrombolysis time window on the proportion of recombinant tissue-type plasminogen activator-treated stroke patients and on door-to-needle time[J]. Stroke, 2011, 42 (10): 2838- 2843
doi: 10.1161/STROKEAHA.111.616565
15 ZHANG T , XIANG L . Elevated plasma haptoglobin level as a potential marker for poor prognosis in acute cerebral infarction[J]. Eur Neurol, 2018, 79 (3-4): 154- 160
doi: 10.1159/000487648
16 BREA D , SOBRINO T , BLANCO M et al. Usefulness of haptoglobin and serum amyloid A proteins as biomarkers for atherothrombotic ischemic stroke diagnosis confirmation[J]. Atherosclerosis, 2009, 205 (2): 561- 567
doi: 10.1016/j.atherosclerosis.2008.12.028
17 LIU DA Z , JICKLING G C , ANDERB P et al. Elevating microRNA-122 in blood improves outcomes after temporary middle cerebral artery occlusion in rats[J]. J Cereb Blood Flow Metab, 2016, 36 (8): 1374- 1383
doi: 10.1177/0271678X15610786
18 L?HMUSSAAR E , GSCHWENDTNER A , MUELLERJ C et al. ALOX5AP gene and the PDE4D gene in a central European population of stroke patients[J]. Stroke, 2005, 36 (4): 731- 736
doi: 10.1161/01.STR.0000157587.59821.87
19 EVANS J F , FERGUSON A D , MOSLEYR T et al. What's all the FLAP about?:5-lipoxygenase-activating protein inhibitors for inflammatory diseases[J]. Trends Pharmacol Sci, 2008, 29 (2): 72- 78
doi: 10.1016/j.tips.2007.11.006
20 JOHANNES L , KAMBADUR R , LEE-HELLMICH H et al. Antiviral determinants of rat Mx GTPases map to the carboxy-terminal half[J]. J Virol, 1997, 71 (12): 9792- 9795
doi: 10.1128/JVI.71.12.9792-9795.1997
21 ARNHEITER H , SKUNTZ S , NOTEBORN M et al. Transgenic mice with intracellular immunity to influenza virus[J]. Cell, 1990, 62 (1): 51- 61
22 DéCAILLOT F M , ROZENFELD R , GUPTA A et al. Cell surface targeting of mu-delta opioid receptor heterodimers by RTP4[J]. Proc Natl Acad Sci U S A, 2008, 105 (41): 16045- 16050
doi: 10.1073/pnas.0804106105
23 SCHOGGINS J W , WILSON S J , PANIS M et al. A diverse range of gene products are effectors of the type Ⅰ interferon antiviral response[J]. Nature, 2011, 472 (7344): 481- 485
doi: 10.1038/nature09907
[1] 米爽,吴燕君,洪正华,王章富,冯兴兵,郑光彬. TLR4/MyD88/NF-κB通路基因及相关炎症因子在继发性脊髓损伤患者中的表达[J]. 浙江大学学报(医学版), 2019, 48(6): 609-616.
[2] 伦永志,孙杰. 肝细胞癌患者外周血单个核细胞诊断候选基因的筛选及其调控网络分析[J]. 浙江大学学报(医学版), 2019, 48(2): 148-157.
[3] 杨坤,胡晓晟. 微小RNA-21在心脏疾病中的研究进展[J]. 浙江大学学报(医学版), 2019, 48(2): 214-218.
[4] 唐思阳,叶佳,李月舟. I1363T突变致人骨骼肌电压门控钠通道快失活受损的机制[J]. 浙江大学学报(医学版), 2019, 48(1): 12-18.
[5] 孙博强,王琼艳,潘冬立. 单纯疱疹病毒潜伏和激活机制研究进展[J]. 浙江大学学报(医学版), 2019, 48(1): 89-101.
[6] 史庭,叶琇锦. CCAAT增强子结合蛋白α与急性髓细胞白血病的发生[J]. 浙江大学学报(医学版), 2018, 47(5): 552-557.
[7] 潘宗富,方琦璐,张轶雯,李莉,黄萍. 基于生物信息学的未分化甲状腺癌关键发病机制及其潜在干预靶点研究[J]. 浙江大学学报(医学版), 2018, 47(2): 187-193.
[8] 夏海雄,李莉,周艳华,任平平,何志旭,舒莉萍. g6pd基因在野生型斑马鱼胚胎发育过程中的表达[J]. 浙江大学学报(医学版), 2018, 47(1): 57-63.
[9] 任晓梅 等. 低盐饮食对犬类心脏组织基因表达的影响[J]. 浙江大学学报(医学版), 2017, 46(4): 433-438.
[10] 孙义锡 等. 单核苷酸多态性微阵列芯片在早期自然流产绒毛组织遗传学分析中的应用[J]. 浙江大学学报(医学版), 2017, 46(3): 262-267.
[11] 候仕芳 等. 下调lmna基因对斑马鱼胚胎髓系和红系造血干细胞发育的影响[J]. 浙江大学学报(医学版), 2016, 45(6): 620-625.
[12] 吴志华 等. 异基因造血干细胞移植受者T细胞受体β链CDR3谱型表达与巨细胞病毒激活[J]. 浙江大学学报(医学版), 2016, 45(5): 515-521.
[13] 陈晓静 等. 微RNA-let-7e-3p在宫颈上皮内瘤变和宫颈癌组织中的表达及临床意义[J]. 浙江大学学报(医学版), 2016, 45(4): 342-348.
[14] 王程 等. 微RNA:一类新的椎间盘退变调控因子[J]. 浙江大学学报(医学版), 2016, 45(2): 170-178.
[15] 杨燕, 李玉梅, 张娜, 李皖云, 欧玉荣, 汪蕊, 赵福友, 吴穷. 缝隙连接蛋白26在肝细胞癌组织的表达及意义[J]. 浙江大学学报(医学版), 2015, 44(5): 517-524.