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. 2018 Feb 6;17:1112–1135. doi: 10.1016/j.dib.2018.01.108

Transcriptome alterations of vascular smooth muscle cells in aortic wall of myocardial infarction patients

Thidathip Wongsurawat a,b, Chin Cheng Woo c, Antonis Giannakakis a, Xiao Yun Lin d, Esther Sok Hwee Cheow e, Chuen Neng Lee c,d, Mark Richards f,g, Siu Kwan Sze e, Intawat Nookaew b, Vladimir A Kuznetsov a,h, Vitaly Sorokin c,d,
PMCID: PMC5988399  PMID: 29876469

Abstract

This article contains further data and information from our published manuscript [1]. We aim to identify significant transcriptome alterations of vascular smooth muscle cells (VSMCs) in the aortic wall of myocardial infarction (MI) patients. Microarray gene analysis was applied to evaluate VSMCs of MI and non-MI patients. Prediction Analysis of Microarray (PAM) identified genes that significantly discriminated the two groups of samples. Incorporation of gene ontology (GO) identified a VSMCs-associated classifier that discriminated between the two groups of samples. Mass spectrometry-based iTRAQ analysis revealed proteins significantly differentiating these two groups of samples. Ingenuity Pathway Analysis (IPA) revealed top pathways associated with hypoxia signaling in cardiovascular system. Enrichment analysis of these proteins suggested an activated pathway, and an integrated transcriptome-proteome pathway analysis revealed that it is the most implicated pathway. The intersection of the top candidate molecules from the transcriptome and proteome highlighted overexpression.


Specifications Table

Subject area Biology
More specific subject area Genomics, Proteomics, Bioinformatics, Cardiovascular
Type of data Tables, figures
How data was acquired Microarray (Gene Titan Instrument, Affymetrix), mass spectrometry (LC-MS/MS system comprised of a Dionex Ultimate 3000 RSLC nano-HPLC system, coupled to an online Q-Exactive hybrid quadrupole-Orbitrap mass spectrometer (Thermo Scientific, Hudson, NH, USA)), RT-qPCR (QuantStudio™ 12K Flex system (Life Technologies; Thermo Fisher Scientific Inc, USA))
Data format Raw, analyzed
Experimental factors Laser capture microdissection, total RNA extraction and protein extraction from aortic tissues from surgical patients
Experimental features Data analysis with Principal Component Analysis (PCA), Prediction Analysis of Microarray (PAM), Gene Ontology (GO), Ingenuity Pathway Analysis (IPA)
Data source location Singapore
Data accessibility Data is with this article.

Value of the data

  • Combination of multiple technologies and bioinformatics analysis performed in this study reveals the molecular changes induced by myocardial infarction on aortic smooth cells in humans.

  • The alterations of the VSMCs transcriptome are congruent with alterations at the protein levels. Both levels show notably the up-regulation of the superoxide dismutase (SOD) with the activation of superoxide radical degradation pathway.

  • Differentially expressed genes and pathways identified in these comparisons may be used in future experiments investigating response in myocardial infarction.

1. Data

1.1. Clinical analysis

The characteristics of the myocardial infarction (MI) and non-MI samples undergoing transcriptomics and proteomics studies are presented in Table 1A, Table 1B respectively. The baseline demographic and clinical characteristics of samples undergoing transcriptomics study were compared with those of the samples from the proteomics study (Table 2). In addition, the characteristics of the transcriptomic MI and non-MI samples with those of the independent cohorts comprising additional MI and non-MI patients undergoing RT-qPCR were compared (Table 3, Table 4).

Table 1A.

Demographic characteristics of MI and non-MI groups undergoing transcriptomics analysis.

Characteristics Transcriptomics Transcriptomics p-value
MI Non-MI
(n=17) (n=19)
Ethnic Chinese 12 10 0.557
Malay 2 6
Indian 2 2
Others 1 1
Gender Male 14 16 0.881
Female 3 3
Age (Mean ± SD) 59.53 ± 8.28 59.68 ± 8.85 0.957
Ejection Fraction Good (>45%) 11 13 0.292
Fair (30–45%) 4 6
Poor (<30%) 2 0
Smoking No 8 9 0.985
Yes 9 10
Renal Impairment No 15 19 0.124
Yes 2 0
Diabetes Mellitus No 9 7 0.332
Yes 8 12
Hypertension No 1 3 0.345
Yes 16 16
Hyperlipidaemia No 0 0
Yes 17 19
Antihyperlipidemic Medication No 0 0
Yes 17 19
Troponin I (µg/L) 12.20 ± 20.86 0.01 ± 0.004 <0.05
(Mean ± SD) (n=15) (n=4)

Table 1B.

Demographic characteristics of MI and non-MI proteomics groups.

Characteristics Proteomics Proteomics p-value
MI Non-MI
n=25 n=25
Ethnic Chinese 11 13 0.745
Malay 8 7
Indian 5 5
Others 1 0
Gender Male 20 18 0.508
Female 5 7
Age (Mean ± SD) 60.88±12.34 61.68±8.26 0.789
Ejection Fraction Good (>45%) 14 16 0.344
Fair (30–45%) 9 9
Poor (<30%) 2 0
Smoking No 12 12 1
Yes 13 13
Renal Impairment No 25 25 NA
Yes 0 0
Diabetes Mellitus No 10 9 0.771
Yes 15 16
Hypertension No 3 1 0.297
Yes 22 24
Hyperlipidaemia No 1 0 0.312
Yes 24 25
Antihyperlipidemic Medication No 4 1 0.157
Yes 21 24
Troponin I (µg/L) 19.54 ± 19.24 0.015 ± 0.006 <0.05
(Mean ± SD) (n=22) (n=9)

Table 2.

Comparative demographic characteristics of transcriptomics and proteomics groups.

Characteristics Transcriptomics Proteomics p-value
n=36 n=50
Ethnic Chinese 22 24 0.404
Malay 8 15
Indian 4 10
Others 2 1
Gender Male 30 38 0.41
Female 6 12
Age (Mean ± SD) 59.61 ± 8.47 61.28 ± 10.40 0.431
Ejection Fraction Good (>45%) 24 30 0.708
Fair (30–45%) 10 18
Poor (<30%) 2 2
Smoking No 17 24 0.943
Yes 19 26
Renal Impairment No 34 50 0.092
Yes 2 0
Diabetes Mellitus No 16 19 0.548
Yes 20 31
Hypertension No 4 4 0.624
Yes 32 46
Hyperlipidaemia No 0 1 0.393
Yes 36 49
Antihyperlipidemic Medication No 0 5 0.051
Yes 36 45
Troponin I (µg/L) 9.63 ±19.09 13.87 ± 18.45 0.445
(Mean ± SD) (n=19) (n=31)

Table 3.

Demographic characteristics of MI study group and MI validation group.

Characteristics MI Microarray MI Validation p-value
(n=17) (n=20)
Ethnic Chinese 12 14 0.662
Malay 2 4
Indian 2 2
Others 1 0
Gender Male 14 17 0.828
Female 3 3
Age (Mean ± SD) 59.53 ± 8.28 61.40 ± 7.88 0.487
Ejection Fraction Good (>45%) 11 10 0.661
Fair (30–45%) 4 7
Poor (<30%) 2 3
Smoking No 8 8 0.666
Yes 9 12
Renal Impairment No 16 20 0.272
Yes 1 0
Diabetes Mellitus No 9 6 0.157
Yes 8 14
Hypertension No 1 4 0.211
Yes 16 16
Hyperlipidaemia No 0 1 0.35
Yes 17 19
Antihyperlipidemic Medication No 0 1 0.35
Yes 17 19
Troponin I (µg/L) 12.20 ± 20.86 20.94 ± 27.80 0.319
(Mean ± SD) (n=15) (n=17)

Table 4.

Demographic characteristics of non-MI study group and non-MI validation group.

Characteristics Non-MI Microarray Non-MI Validation p-value
(n=19) (n=20)
Ethnic Chinese 10 12 0.763
Malay 6 6
Indian 2 2
Others 1 0
Gender Male 16 17 0.946
Female 3 3
Age (Mean ± SD) 59.68 ± 8.85 59.95 ± 8.34 0.924
Ejection Fraction Good (>45%) 13 13 0.083
Fair (30–45%) 6 3
Poor (<30%) 0 4
Smoking No 9 11 9 0.634
Yes 10
Renal Impairment No 18 15 0.088
Yes 1 5
Diabetes Mellitus No 7 8 0.839
Yes 12 12
Hypertension No 3 4 0.732
Yes 16 16
Hyperlipidaemia No 0 0
Yes 19 20
Antihyperlipidemic Medication No 0 0
Yes 19 20
Troponin I (µg/L) 0.01 ± 0.004 NA NA
(Mean ± SD) (n=4)

1.2. Gene expression data analysis and class prediction by Prediction Analysis of Microarray (PAM)

The samples were preprocessed through several steps, including quality assessment and outlier identification, normalization, batch effect correction and evaluation (Fig. 1). To interrogate differentially expressed genes between MI and non-MI we conducted gene-expression profiling using the Affymetrix U219 microarray platform. The R ‘limma’ package (https://www.bioconductor.org/help/workflows/arrays/) identified 4,357 probe sets, selected at a ‘limma’-defined p-value < 0.05. Based on this set of differentially expressed genes (DEGs), we performed principal component analysis (PCA) (Fig. 1).

Fig. 1.

Fig. 1

(A) Normalized data. (B) Pseudo three dimensional plot of PCA analysis of the 4,357 DEGs between MI (red) and non-MI (blue). The sizes of the dot represent the loading values of the Comp.3 that perpendicular on the Comp.1 and Comp.2 plane. (C) Scree plot shows the variances explained by the individual principle component. (D) Volcano plot of expression data. Green dot represents differentially expressed genes.

To determine subgroup of genes distinguishing MI from non-MI subjects, we performed supervised PAM [2] and identified a set of differentially expressed genes (DEGs) that discriminated between the two subtypes at Wilcox FDR < 0.1 (Table 5).

Table 5.

List of differentially expressed transcripts.

Probe ID Gene symbol Up/down regulated in MI wilcox wilcox FDR
11760204_x_at CKMT1B Upregulated inMI 0.00035204 0.00224576
11760991_a_at CKMT1B Upregulated in MI 0.00101536 0.00364739
11718483_s_at UBE2N Upregulated in MI 0.0001261 0.00150508
11752082_a_at CDH12 Upregulated in MI 0.00010799 0.00137774
11744327_x_at UBB Upregulated in MI 1.4127E-06 0.00026136
11735320_a_at RBMS3 Upregulated in MI 4.8014E-05 0.00093501
11743116_s_at KPNB1 Upregulated in MI 4.2217E-06 0.0003841
11716989_s_at PNRC2 Upregulated in MI 0.00053133 0.00252042
11761378_at NAALADL2 Upregulated in MI 0.0006064 0.00276999
11754075_s_at KRT222 Upregulated in MI 0.00053077 0.00252042
11718123_at AIMP1 Upregulated in MI 0.00010799 0.00137774
11721001_at HEXIM1 Upregulated in MI 0.00456914 0.00871434
11759202_s_at C9orf41 Upregulated in MI 0.00019823 0.0016669
11758784_at UBE3A Upregulated in MI 0.00053077 0.00252042
11764120_at Upregulated in MI 0.00017084 0.0016669
11729194_s_at MYNN Upregulated in MI 9.2259E-05 0.00137774
11757837_x_at HNRNPA1 Upregulated in MI 0.00078736 0.0030992
11721747_a_at ANKRD12 Upregulated in MI 0.00115015 0.00390417
11753179_s_at FAM134B Upregulated in MI 0.00046374 0.00245118
11757794_s_at PAPD5 Upregulated in MI 0.00505725 0.00926328
11732126_x_at UBB Upregulated in MI 0.00014694 0.0016669
11729661_a_at GLB1 Upregulated in MI 0.00069158 0.00284317
11717422_s_at RBM8A Upregulated in MI 0.0001261 0.00150508
11758158_s_at FOXP1 Upregulated in MI 0.00078736 0.0030992
11743098_a_at TARSL2 Upregulated in MI 0.00687991 0.01183985
11715501_s_at IGFBP7 Upregulated in MI 9.2259E-05 0.00137774
11725969_a_at THUMPD1 Upregulated in MI 0.0026334 0.00636836
11760913_at ASAH2 Upregulated in MI 2.0029E-05 0.00061757
11718344_a_at CNOT7 Upregulated in MI 0.00146865 0.0044541
11735389_at CYLC2 Upregulated in MI 0.0036725 0.00780935
11747800_a_at HIF1A Upregulated in MI 0.04043046 0.0488865
11721215_a_at TMEM106B Upregulated in MI 0.00019823 0.0016669
11755052_s_at GYPE Upregulated in MI 0.00130072 0.00422165
11717433_a_at ECHDC1 Upregulated in MI 4.8014E-05 0.00093501
11752628_a_at SYNCRIP Upregulated in MI 0.00376444 0.00791387
11747485_a_at SR140 Upregulated in MI 0.00019823 0.0016669
11715657_a_at GLB1 Upregulated in MI 0.00130072 0.00422165
11757402_s_at MED13 Upregulated in MI 0.00026521 0.00192411
11730368_at ZNF557 Upregulated in MI 0.02104398 0.028626
11718577_s_at NET1 Upregulated in MI 0.00409148 0.00813896
11732339_at BCL11A Upregulated in MI 0.02493936 0.03283831
11744873_a_at KLKP1 Upregulated in MI 0.00089487 0.00334446
11763952_at Upregulated in MI 0.00030585 0.00205755
11726870_at SETBP1 Upregulated in MI 0.0006064 0.00276999
11727433_s_at NUTF2 Upregulated in MI 0.02423264 0.03248578
11726614_at CDH2 Upregulated in MI 0.00505725 0.00926328
11744433_x_at AMY2B Upregulated in MI 3.4121E-05 0.00084164
11720250_a_at RWDD1 Upregulated in MI 0.00010799 0.00137774
11724140_a_at CRIPAK Upregulated in MI 0.00053077 0.00252042
11754192_s_at SFRS11 Upregulated in MI 2.3988E-05 0.00068274
11758666_s_at LOC284861 Upregulated in MI 0.0006064 0.00276999
11764171_s_at DCUN1D1 Upregulated in MI 0.00687991 0.01183985
11751513_a_at TXNDC6 Upregulated in MI 0.0026334 0.00636836
11758715_s_at DEFB126 Upregulated in MI 0.00502731 0.00926328
11755681_x_at HMGB1 Upregulated in MI 9.4442E-06 0.00038514
11737234_s_at LOC162632 Upregulated in MI 0.04365745 0.05177326
11751041_x_at PCMTD2 Upregulated in MI 0.00146865 0.0044541
11720954_s_at RPL30 Upregulated in MI 0.0026334 0.00636836
11732933_a_at RUNX1 Upregulated in MI 0.00115015 0.00390417
11750545_a_at CNOT7 Upregulated in MI 0.01229819 0.01880302
11716615_s_at REEP5 Upregulated in MI 0.01477913 0.02163607
200037_PM_s_at CBX3 Upregulated in MI 0.00561109 0.01012733
11749445_a_at ARHGAP15 Upregulated in MI 0.00053077 0.00252042
11719713_a_at PPM1B Upregulated in MI 0.00455191 0.00871434
11725073_s_at PHF17 Upregulated in MI 0.02104398 0.028626
11715490_s_at AMY1A Upregulated in MI 0.0026334 0.00636836
11757108_a_at GSTTP1 Upregulated in MI 0.0036725 0.00780935
11758637_x_at AMY1A Upregulated in MI 0.0147944 0.02163607
11743386_s_at PRPF40A Upregulated in MI 0.00010799 0.00137774
11719932_x_at KIAA0319L Upregulated in MI 0.01229819 0.01880302
11750815_s_at DDX5 Upregulated in MI 0.03190866 0.04002103
11761866_at NCOA7 Upregulated in MI 0.01229819 0.01880302
11762842_s_at PLEKHB2 Upregulated in MI 0.0036725 0.00780935
11758021_s_at DDX3× Upregulated in MI 0.00146865 0.0044541
11755779_a_at ADAMTS20 Upregulated in MI 0.00294638 0.00689976
11734919_s_at TCEA1 Upregulated in MI 0.00053077 0.00252042
11741476_x_at MAP3K7 Upregulated in MI 0.00455191 0.00871434
11745795_s_at DDX5 Upregulated in MI 0.01018421 0.01603471
11746794_a_at C5orf33 Upregulated in MI 0.01617252 0.0232834
11758181_s_at HMGB1 Upregulated in MI 0.01119828 0.01740908
11758811_x_at HNRNPA1 Upregulated in MI 0.00329182 0.00729325
11761671_a_at ETV7 Upregulated in MI 0.00186355 0.00526347
11758000_s_at CXADR Upregulated in MI 0.0036725 0.00780935
11733216_s_at USP53 Upregulated in MI 0.01348981 0.02012593
200012_PM_x_at RPL21 Upregulated in MI 5.1905E-06 0.0003841
11722616_at UBLCP1 Upregulated in MI 0.00329182 0.00729325
11743186_a_at KIAA1430 Upregulated in MI 0.01018421 0.01603471
11758697_x_at RPL10A Upregulated in MI 0.00294638 0.00689976
11758663_s_at MATR3 Upregulated in MI 0.00062978 0.00284168
11739605_a_at CCDC88A Upregulated in MI 0.00839186 0.01392372
11718654_s_at PKD2 Upregulated in MI 0.01119828 0.01740908
11740007_at POLR3G Upregulated in MI 0.00839186 0.01392372
11723448_x_at MALL Upregulated in MI 0.0026334 0.00636836
11725386_a_at HOMER1 Upregulated in MI 0.00329182 0.00729325
11721237_a_at LHFPL2 Upregulated in MI 0.00925052 0.01488126
11740255_x_at UBE2NL Upregulated in MI 0.00069158 0.00284317
11763843_a_at UACA Upregulated in MI 0.00069158 0.00284317
11755332_a_at TJAP1 Upregulated in MI 0.00019528 0.0016669
11731400_s_at TMCO1 Upregulated in MI 0.00089487 0.00334446
11755203_x_at RPL21 Upregulated in MI 7.8646E-05 0.00137774
11748647_a_at PTPRR Upregulated in MI 0.02710422 0.03543661
11751975_a_at SGIP1 Upregulated in MI 0.0036725 0.00780935
11739563_a_at ITPR1 Upregulated in MI 0.00010799 0.00137774
11719614_a_at LARP4 Upregulated in MI 0.00030585 0.00205755
11722359_x_at EPB41L2 Upregulated in MI 0.00146865 0.0044541
11754410_s_at APLNR Upregulated in MI 0.00235021 0.00608096
11739606_x_at CCDC88A Upregulated in MI 0.00505725 0.00926328
11737468_a_at PDC Upregulated in MI 0.00409148 0.00813896
11732569_at SLCO1B3 Upregulated in MI 0.04365745 0.05177326
11733180_a_at ETV1 Upregulated in MI 0.02493936 0.03283831
11742053_a_at COG5 Upregulated in MI 0.05074665 0.05885975
11732720_a_at EREG Upregulated in MI 0.00376444 0.00791387
11722645_s_at ZNHIT6 Upregulated in MI 0.02104398 0.028626
11722842_s_at ENAH Upregulated in MI 1.145E-05 0.00038514
11746051_a_at HP1BP3 Upregulated in MI 0.00666163 0.01173715
11758520_s_at GUCY1A3 Upregulated in MI 0.00209437 0.00574011
11751517_a_at PRKAA1 Upregulated in MI 0.00235021 0.00608096
11757817_s_at BASP1 Upregulated in MI 0.00165565 0.00486183
11719053_s_at CEP350 Upregulated in MI 0.0062173 0.0110067
11763534_x_at CNTNAP3 Upregulated in MI 0.00235021 0.00608096
11715329_at SLC6A15 Upregulated in MI 0.00069158 0.00284317
11761881_at ZNF33A Upregulated in MI 0.00146865 0.0044541
11723314_x_at PXMP2 Upregulated in MI 2.476E-07 9.1611E-05
11758802_a_at ENY2 Upregulated in MI 0.00069158 0.00284317
11758108_s_at EFEMP1 Upregulated in MI 0.0027968 0.00667624
11739011_s_at PAFAH1B1 Upregulated in MI 0.0026334 0.00636836
11749062_a_at ERG Upregulated in MI 0.00103627 0.00368673
11761958_s_at TRA@ Upregulated in MI 0.01348981 0.02012593
11753646_x_at CFL1 Upregulated in MI 0.00455191 0.00871434
11723447_at MALL Upregulated in MI 0.00053077 0.00252042
11725729_s_at C1orf56 Upregulated in MI 0.00040442 0.00241348
11725658_a_at MTFR1 Upregulated in MI 0.00925052 0.01488126
11725496_a_at AGPAT9 Upregulated in MI 0.00687991 0.01183985
11735535_at ZNF660 Upregulated in MI 0.00186355 0.00526347
11754898_a_at ZNF573 Upregulated in MI 0.00839186 0.01392372
11719509_a_at CSRP2BP Upregulated in MI 0.00039848 0.00241348
11729721_s_at LILRB3 Upregulated in MI 5.1905E-06 0.0003841
11728429_a_at LCOR Upregulated in MI 4.053E-05 0.00088212
11750795_a_at KLHL1 Upregulated in MI 1.145E-05 0.00038514
11754487_x_at C5orf33 Upregulated in MI 0.01018421 0.01603471
11727856_s_at NUP50 Upregulated in MI 0.00069158 0.00284317
11732303_a_at CREB1 Upregulated in MI 0.00035204 0.00224576
11738720_s_at OR2T3 Upregulated in MI 0.00209437 0.00574011
11718993_at CRKL Upregulated in MI 0.00409148 0.00813896
11727390_a_at STEAP2 Upregulated in MI 0.00121855 0.00406184
11728769_at ST6GALNAC3 Upregulated in MI 0.00760327 0.0128457
11742385_s_at OR8B2 Upregulated in MI 0.00240361 0.00617593
11756285_s_at IGF2BP3 Upregulated in MI 0.02292193 0.03084041
11722814_s_at RANBP2 Upregulated in MI 0.00046374 0.00245118
11751269_a_at SUPT3H Upregulated in MI 0.00455191 0.00871434
11763119_x_at Upregulated in MI 0.01617252 0.0232834
11721835_s_at TMEM14B Upregulated in MI 0.00186355 0.00526347
11736501_x_at SS18 Upregulated in MI 0.02292193 0.03084041
11717574_s_at PFN1 Upregulated in MI 0.00165565 0.00486183
11757274_s_at ARGLU1 Upregulated in MI 0.00030585 0.00205755
11729916_s_at ARL5B Upregulated in MI 0.01929797 0.0270464
11721216_s_at TMEM106B Upregulated in MI 0.00017084 0.0016669
11759049_at ACSS3 Upregulated in MI 0.08324897 0.09305777
11736190_a_at OGN Upregulated in MI 0.01929797 0.0270464
11734314_at SPTA1 Upregulated in MI 0.00089487 0.00334446
AFFX-HUMGAPDH/M33197_ GAPDH Upregulated in MI 0.02942452 0.03767153
11753680_x_at RPL21 Upregulated in MI 4.053E-05 0.00088212
11738693_at OR13C3 Upregulated in MI 0.01348981 0.02012593
11746970_at NPY6R Upregulated in MI 0.04365745 0.05177326
11722149_a_at YTHDC2 Upregulated in MI 0.05462796 0.06316358
11748766_a_at FBXW7 Upregulated in MI 0.00022952 0.00176918
11744244_a_at MASP1 Upregulated in MI 0.00235021 0.00608096
11759047_x_at ABCB1 Upregulated in MI 0.00146865 0.0044541
11733995_x_at C5orf33 Upregulated in MI 0.00046374 0.00245118
11719660_at ATP1A2 Upregulated in MI 0.00069158 0.00284317
11732982_at OR2J2 Upregulated in MI 0.0026334 0.00636836
11720945_x_at SNRPA1 Upregulated in MI 0.05534295 0.06379094
11759697_at SLITRK3 Upregulated in MI 0.00209437 0.00574011
11757257_at PISRT1 Upregulated in MI 0.04365745 0.05177326
11728052_s_at FAM126B Upregulated in MI 0.01929797 0.0270464
11728076_at HDAC9 Upregulated in MI 0.01980258 0.02764888
11742048_at ITGB1 Upregulated in MI 0.00329182 0.00729325
11758636_s_at ASPN Upregulated in MI 0.00409148 0.00813896
11756080_s_at NUS1 Upregulated in MI 0.05074665 0.05885975
11730843_a_at MXI1 Upregulated in MI 0.00265809 0.00638632
11739731_s_at CSNK1G1 Upregulated in MI 0.00505725 0.00926328
11719476_at C20orf108 Upregulated in MI 0.02837207 0.03696361
11722845_s_at UBE2R2 Upregulated in MI 0.03066104 0.03911925
11752838_s_at CIDEB Upregulated in MI 0.05074665 0.05885975
11753282_a_at CMTM4 Upregulated in MI 0.02493936 0.03283831
11759361_at SHOX Upregulated in MI 0.00030585 0.00205755
11742378_a_at AKR1B10 Upregulated in MI 0.01348981 0.02012593
11757489_x_at RPL22 Upregulated in MI 0.00078736 0.0030992
11720443_s_at BAZ1A Upregulated in MI 0.03740276 0.04597682
11756351_x_at SOD1 Upregulated in MI 0.00069158 0.00284317
11716368_x_at PRR13 Upregulated in MI 0.00019823 0.0016669
11741875_x_at AKTIP Upregulated in MI 0.02104398 0.028626
11749630_a_at KRR1 Upregulated in MI 0.02493936 0.03283831
11758560_s_at HERC4 Upregulated in MI 0.00101536 0.00364739
11738204_a_at SPAM1 Upregulated in MI 0.07779419 0.08775564
11757384_x_at UROD Upregulated in MI 0.00022952 0.00176918
11721520_at ZDHHC17 Upregulated in MI 0.04709299 0.05549174
11753061_a_at SLFN5 Upregulated in MI 0.0026334 0.00636836
11728110_at GRIP1 Upregulated in MI 0.00505725 0.00926328
11722667_a_at MAPT Upregulated in MI 0.00687991 0.01183985
11718781_s_at SSBP2 Upregulated in MI 2.865E-05 0.00075718
11750759_at CES4 Upregulated in MI 0.00760327 0.0128457
11737583_s_at SGCD Upregulated in MI 0.00046374 0.00245118
11727015_s_at PAPPA Upregulated in MI 0.00186355 0.00526347
11728682_at KRR1 Upregulated in MI 0.00329182 0.00729325
11737293_at TACR3 Upregulated in MI 0.02104398 0.028626
11746047_x_at KGFLP2 Upregulated in MI 0.00409148 0.00813896
11734530_x_at HLA-F Upregulated in MI 9.4442E-06 0.00038514
11723507_s_at ZNF609 Upregulated in MI 0.05074665 0.05885975
11742902_s_at AP3S1 Upregulated in MI 0.08324897 0.09305777
11741095_at CORO2A Upregulated in MI 0.00839186 0.01392372
11724290_x_at ZNF641 Upregulated in MI 0.01119828 0.01740908
11738606_a_at KCTD16 Upregulated in MI 0.00115015 0.00390417
11735483_at LANCL3 Upregulated in MI 0.00925052 0.01488126
11739334_a_at PTPRC Upregulated in MI 0.0062173 0.0110067
11735206_at MMAA Upregulated in MI 0.00053077 0.00252042
11741856_s_at LOC653501 Upregulated in MI 0.00235021 0.00608096
11735379_a_at KIAA1009 Upregulated in MI 0.00329182 0.00729325
11719268_at TNNC1 Upregulated in MI 0.03456513 0.04306093
11763439_s_at HNRNPU Upregulated in MI 0.00040442 0.00241348
11732224_a_at ZNF664 Upregulated in MI 0.02942452 0.03767153
11730746_s_at PAIP2 Upregulated in MI 0.00035204 0.00224576
11744413_x_at HSPA1A Upregulated in MI 0.01348981 0.02012593
11744535_s_at TCEB1 Upregulated in MI 0.00925052 0.01488126
11728719_a_at LTBP1 Upregulated in MI 0.0357177 0.04434747
11741101_a_at ZNF655 Upregulated in MI 0.00505725 0.00926328
11723042_at UBE2D1 Upregulated in MI 0.00455191 0.00871434
11716750_a_at CD99L2 Upregulated in MI 0.01348981 0.02012593
11754732_a_at CNDP1 Upregulated in MI 0.00019823 0.0016669
11740403_at C12orf69 Upregulated in MI 0.0176765 0.02515502
11761250_x_at ARL5A Upregulated in MI 0.00455191 0.00871434
11763585_s_at TMPO Upregulated in MI 0.08900096 0.09859388
11738200_a_at CCDC102B Upregulated in MI 0.02942452 0.03767153
11718702_a_at ARFIP1 Upregulated in MI 0.0631128 0.0718515
11747428_a_at CDK20 Upregulated in MI 0.00329182 0.00729325
11745483_s_at BECN1 Upregulated in MI 0.00026521 0.00192411
11730250_a_at LNX1 Upregulated in MI 0.03190866 0.04002103
11716587_at AXL Upregulated in MI 0.00409148 0.00813896
11758860_at HNRNPU Upregulated in MI 0.01229819 0.01880302
11734908_a_at CADPS2 Upregulated in MI 0.00329182 0.00729325
11734244_a_at ATG10 Upregulated in MI 0.01617252 0.0232834
11728312_at ZNF148 Upregulated in MI 0.03190866 0.04002103
11739159_at FAM8A1 Upregulated in MI 0.00146865 0.0044541
11740664_a_at GPRC6A Upregulated in MI 0.00209437 0.00574011
11757874_x_at PFDN1 Upregulated in MI 0.00760327 0.0128457
11756150_at B2M Upregulated in MI 0.02493936 0.03283831
11757936_s_at GCSH Upregulated in MI 0.00046374 0.00245118
11715593_s_at YWHAH Upregulated in MI 0.04043046 0.0488865
11729688_s_at LYRM7 Upregulated in MI 0.00046374 0.00245118
11742446_s_at FOXD4L2 Upregulated in MI 0.00186355 0.00526347
11759938_a_at ITFG2 Upregulated in MI 0.0062173 0.0110067
11754680_a_at MAP3K2 Upregulated in MI 0.00235021 0.00608096
11717578_a_at VPS26A Upregulated in MI 0.03190866 0.04002103
11744671_x_at CTBP2 Upregulated in MI 0.0631128 0.0718515
11751946_a_at ARHGAP21 Upregulated in MI 0.00130072 0.00422165
11729687_at LYRM7 Upregulated in MI 0.02104398 0.028626
11750160_a_at LSM14A Upregulated in MI 0.02942452 0.03767153
11727125_a_at PVRL3 Upregulated in MI 0.03456513 0.04306093
11722445_a_at TRAPPC5 Upregulated in MI 1.145E-05 0.00038514
11757916_s_at TBX3 Upregulated in MI 0.0036725 0.00780935
11739487_s_at SUZ12 Upregulated in MI 0.00395253 0.00813896
11756151_x_at B2M Upregulated in MI 0.01477913 0.02163607
11743427_at AHCYL1 Upregulated in MI 0.03190866 0.04002103
11733078_a_at PPP1R12A Upregulated in MI 0.00925052 0.01488126
11760812_at C10orf46 Upregulated in MI 0.04709299 0.05549174
11758911_at DYRK2 Upregulated in MI 0.08900096 0.09859388
11724018_a_at LDHC Upregulated in MI 0.00019823 0.0016669
11753232_a_at NDRG1 Upregulated in MI 0.00115015 0.00390417
11729110_s_at ADAMDEC1 Upregulated in MI 0.05074665 0.05885975
11757659_x_at RPL12 Upregulated in MI 0.00101536 0.00364739
11754221_s_at FAM104B Upregulated in MI 0.00235021 0.00608096
11753454_a_at PRKG1 Upregulated in MI 0.03740276 0.04597682
11715662_x_at TMEM189 Upregulated in MI 0.00409148 0.00813896
11760194_at LRRIQ3 Upregulated in MI 0.00329182 0.00729325
11761070_at MRPL20 Upregulated in MI 0.01018421 0.01603471
11750330_a_at MYOCD Upregulated in MI 0.01477913 0.02163607
11728272_x_at ZNF330 Upregulated in MI 0.00561109 0.01012733
11743661_a_at MBNL1 Upregulated in MI 0.00414689 0.00820508
11731899_s_at PPAT Upregulated in MI 0.08883741 0.09859388
11725485_at DIRC2 Upregulated in MI 0.0176765 0.02515502
11758273_s_at ARF6 Upregulated in MI 0.00046374 0.00245118
11751364_a_at SLC47A1 Upregulated in MI 0.0026334 0.00636836
11740734_a_at A2BP1 Upregulated in MI 0.02942452 0.03767153
11743792_a_at TTC39C Upregulated in MI 0.02710422 0.03543661
AFFX-r2-Ec-bioB-5_at Upregulated in MI 0.00019823 0.0016669
11752951_x_at RPL15 Upregulated in MI 0.04365745 0.05177326
11720802_s_at BIN3 Downregulatedin MI 9.2259E-05 0.00137774
11760353_at SAFB2 Downregulatedin MI 0.00687991 0.01183985
11754373_a_at MARK3 Downregulatedin MI 0.00046374 0.00245118
11730830_x_at AMPD2 Downregulatedin MI 0.00505725 0.00926328
11737523_x_at VSIG8 Downregulatedin MI 1.145E-05 0.00038514
11759492_at RPS27L Downregulatedin MI 0.00235021 0.00608096
11728009_at VPREB3 Downregulatedin MI 0.00146865 0.0044541
11730408_a_at C19orf33 Downregulatedin MI 0.0385022 0.04717157
11728044_a_at C14orf126 Downregulatedin MI 0.00875884 0.01446773
11763618_a_at SNAPC4 Downregulatedin MI 0.00026521 0.00192411
11716415_s_at NDUFB8 Downregulatedin MI 0.00165565 0.00486183
11737238_s_at EOMES Downregulatedin MI 0.0062173 0.0110067
11760953_x_at UBXN11 Downregulatedin MI 0.00022952 0.00176918
11746163_a_at LARP4B Downregulatedin MI 0.04043046 0.0488865
11724561_x_at TSR2 Downregulatedin MI 0.02292193 0.03084041
11735855_at TNP2 Downregulatedin MI 0.00409148 0.00813896
11757649_a_at TIMM16 Downregulatedin MI 7.8646E-05 0.00137774
11732524_a_at CHKB-CPT1B Downregulatedin MI 0.00358451 0.00780935
11736945_a_at HIPK4 Downregulatedin MI 0.00040442 0.00241348
11716547_s_at TLR9 Downregulatedin MI 0.01477913 0.02163607
11746635_a_at LEF1 Downregulatedin MI 0.00089487 0.00334446
11744612_a_at NUDCD1 Downregulatedin MI 0.00121855 0.00406184
11731356_a_at IP6K3 Downregulatedin MI 0.00078736 0.0030992
11728896_a_at LRP8 Downregulatedin MI 0.01018421 0.01603471
11759458_at LOC285501 Downregulatedin MI 0.01617252 0.0232834
11762010_a_at GRAMD1B Downregulatedin MI 0.00019823 0.0016669
11757381_x_at GTF2A2 Downregulatedin MI 0.0728868 0.0824713
11743193_a_at PARD6G Downregulatedin MI 0.00019823 0.0016669
11726367_a_at ERICH1 Downregulatedin MI 0.03740276 0.04597682
11750342_a_at FRMPD1 Downregulatedin MI 0.08324897 0.09305777
11744231_a_at MAPK7 Downregulatedin MI 0.00294638 0.00689976
11724255_a_at OAS1 Downregulatedin MI 0.0176765 0.02515502
11737305_a_at FAM166A Downregulatedin MI 0.00561109 0.01012733
11733958_a_at GTPBP3 Downregulatedin MI 0.00089487 0.00334446
11739429_a_at ZDHHC24 Downregulatedin MI 0.01900683 0.02694455
11751172_a_at TRIB3 Downregulatedin MI 0.05732237 0.06586732
11737677_at BTBD18 Downregulatedin MI 0.02104398 0.028626
11725393_s_at MAK16 Downregulatedin MI 0.0631128 0.0718515
11744029_a_at BBS4 Downregulatedin MI 0.04043046 0.0488865
11743134_x_at FKBP8 Downregulatedin MI 0.00022952 0.00176918
11745187_a_at BET1L Downregulatedin MI 0.00925052 0.01488126
11737856_a_at OPCML Downregulatedin MI 0.00101536 0.00364739
11759126_a_at THRA Downregulatedin MI 0.04365745 0.05177326
11722129_at FAM102B Downregulatedin MI 0.00165565 0.00486183
11762149_at C18orf45 Downregulatedin MI 0.00115015 0.00390417
11734407_a_at MATN4 Downregulatedin MI 0.00760327 0.0128457
11730872_x_at RASSF5 Downregulatedin MI 0.00409148 0.00813896
11753413_x_at DLK1 Downregulatedin MI 0.07262653 0.08242889

Gene Ontology (GO) analysis of the DEGs was performed using DAVID Bioinformatics tools [3] (http://david.abcc.ncifcrf.gov/). The GO results for the down-regulated transcripts were not enriched for any GO terms. The GO analysis revealed biological processes (Table 6).

Table 6.

Gene ontology of upregulated genes.

Category Term Count % p-value Genes List Total Pop Hits Pop Total Fold Enrichmen tBonferroni Benjamini FDR
GOTERM_BP_FAT GO:0070647~protein modification by small protein conjugation or removal 12 4.109589 4.96E-05 ENY2, UBE2N, SUZ12, SUPT3H, ATG10, FBXW7, UBE3A, UBB, UBE2D1, TMEM189, FBXW11, LNX1 216 160 13528 4.697222222 0.08427547 0.084275 0.084054
GOTERM_BP_FAT GO:0032446~protein modification by small protein conjugation 10 3.4246575 2.56E-04 UBE2N, SUZ12, ATG10, FBXW7, UBE3A, UBB, UBE2D1, TMEM189, FBXW11, LNX1 216 132 13528 4.744668911 0.365690828 0.203565 0.433849
GOTERM_BP_FAT GO:0016567~protein ubiquitination 9 3.0821918 6.19E-04 UBE2N, SUZ12, FBXW7, UBE3A, UBB, UBE2D1, TMEM189, FBXW11, LNX1 216 119 13528 4.736694678 0.666812995 0.30674 1.044247
GOTERM_BP_FAT GO:0006940~regulation of smooth muscle contraction 5 1.7123288 0.00299912 TACR3, MYOCD, GUCY1A3, ATP1A2, SOD1 216 38 13528 8.240740741 0.995162875 0.736278 4.964734
GOTERM_BP_FAT GO:0051147~regulation of muscle cell differentiation 5 1.7123288 0.00330086 TBX3, MYOCD, EREG, UBB, HDAC9 216 39 13528 8.029439696 0.99717351 0.690793 5.451184
GOTERM_BP_FAT GO:0006414~translational elongation 7 2.3972603 0.00544585 RPL30, RPL22, RPL21, RPL15, UBB, RPL10A, RPL12 216 101 13528 4.3406674 0.999938274 0.801202 8.842269
GOTERM_BP_FAT GO:0006937~regulation of muscle contraction 6 2.0547945 0.00571597 TACR3, MYOCD, TNNC1, GUCY1A3, ATP1A2, SOD1 216 72 13528 5.219135802 0.999961887 0.766265 9.261108
GOTERM_BP_FAT GO:0048742~regulation of skeletal muscle fiber development 4 1.369863 0.00703496 TBX3, MYOCD, UBB, HDAC9 216 25 13528 10.02074074 0.999996388 0.791204 11.28038
GOTERM_BP_FAT GO:0007507~heart development 10 3.4246575 0.00750053 CRKL, TBX3, MYOCD, HEXIM1, TNNC1, PKD2, HDAC9, CXADR, ITGB1, FOXP1 216 215 13528 2.913006029 0.999998429 0.773463 11.98298
GOTERM_BP_FAT GO:0016202~regulation of striated muscle tissue development 5 1.7123288 0.00807194 TBX3, MYOCD, UBB, HDAC9, CXADR 216 50 13528 6.262962963 0.999999435 0.762736 12.83814
GOTERM_BP_FAT GO:0048634~regulation of muscle development 5 1.7123288 0.00865211 TBX3, MYOCD, UBB, HDAC9, CXADR 216 51 13528 6.140159768 0.9999998 0.753948 13.69842
GOTERM_BP_FAT GO:0048534~hemopoietic or lymphoid organ development 11 3.7671233 0.00874561 PTPRC, CRKL, RPL22, BCL11A, TCEA1, SPTA1, HDAC9, SOD1, RUNX1, ITGB1, FOXP1 216 260 13528 2.6497151 0.999999831 0.727281 13.83632
GOTERM_BP_FAT GO:0030036~actin cytoskeleton organization 10 3.4246575 0.01017938 EPB41L2, PFN1, CALD1, CFL1, PAFAH1B1, ARF6, SPTA1, PRKG1, ITGB1, KLHL1 216 226 13528 2.77122255 0.999999987 0.752662 15.92501
GOTERM_BP_FAT GO:0048641~regulation of skeletal muscle tissue development 4 1.369863 0.01066911 TBX3, MYOCD, UBB, HDAC9 216 29 13528 8.638569604 0.999999995 0.743329 16.62747
GOTERM_BP_FAT GO:0045935~positive regulation of nucleobase, nucleoside, nucleotide and nuc 19 6.5068493 0.01072364 ENY2, BMP3, PTPRC, TBX3, GRIP1, CREB1, MED13, DDX5, CNOT7, UBE2N, YWHAH, HIF1A, MYOCD, EREG, ZNF148, GU 216 624 13528 1.906991928 0.999999995 0.720797 16.70534
GOTERM_CC_FAT GO:0030529~ribonucleoprotein complex 19 6.7857143 9.63E-04 KRR1, SNRPA1, ERG, RPL15, SYNCRIP, HSPA1A, DDX5, HNRNPA1, HNRNPU, MRPL20, RPL30, RBM8A, RPL22, PNRC2, R 197 515 12782 2.393750924 0.246766301 0.246766 1.275853
GOTERM_CC_FAT GO:0005829~cytosol 36 12.857143 9.94E-04 NAMPT, ENAH, UBE3A, GRIP1, RPL15, MAP3K7, RPL30, MAP3K2, MAPT, GSTZ1, GUCY1A3, PAFAH1B1, PPP3CA, RPL12 197 1330 12782 1.756238312 0.253459145 0.135974 1.315771
GOTERM_CC_FAT GO:0031981~nuclear lumen 37 13.214286 0.00232476 ENY2, SUPT3H, HMGB1, SYNCRIP, ZNF655, CNOT7, ZNF330, CORO2A, DDX3×, RBM8A, ZNF148, NUP50, TCEA1, UBE2D 197 1450 12782 1.655641519 0.495544858 0.203949 3.053045
GOTERM_CC_FAT GO:0005794~Golgi apparatus 25 8.9285714 0.00378136 CCDC88A, AIMP1, BECN1, PTPRR, AP3S1, ARF6, ARFIP1, CXADR, PRKG1, GCC2, TJAP1, B2M, ARHGAP21, PNPLA8, ZDHH 197 872 12782 1.860184883 0.671699641 0.243049 4.921769
GOTERM_CC_FAT GO:0005654~nucleoplasm 25 8.9285714 0.00436162 ENY2, HMGB1, SUPT3H, SYNCRIP, CNOT7, CORO2A, DDX3×, RBM8A, NUP50, TCEA1, UBE2D1, KPNB1, PRPF40A, POLR 197 882 12782 1.839094352 0.72338246 0.22665 5.656882
GOTERM_CC_FAT GO:0030864~cortical actin cytoskeleton 4 1.4285714 0.0087726 EPB41L2, CALD1, CFL1, SPTA1 197 28 12782 9.269035533 0.925019331 0.350631 11.07554
GOTERM_CC_FAT GO:0005635~nuclear envelope 9 3.2142857 0.01377595 UACA, NUP50, CBX3, PAFAH1B1, TMPO, RANBP2, KPNB1, MATR3, ITPR1 197 205 12782 2.848532871 0.983063526 0.441562 16.87269
GOTERM_CC_FAT GO:0070013~intracellular organelle lumen 39 13.928571 0.02000434 ENY2, SUPT3H, HMGB1, SYNCRIP, ZNF655, CNOT7, ZNF330, MRPL20, CORO2A, DDX3×, RBM8A, ZNF148, NUP50, TCEA 197 1779 12782 1.42239837 0.997370329 0.524131 23.60067
GOTERM_CC_FAT GO:0044451~nucleoplasm part 16 5.7142857 0.02385422 ENY2, POLR3G, SUPT3H, CTBP2, CREB1, YY1, MED13, CNOT7, SUZ12, CORO2A, PHF17, HIF1A, DDX3×, RBM8A, HDAC9 197 555 12782 1.870508072 0.99917336 0.545557 27.50364
GOTERM_CC_FAT GO:0031965~nuclear membrane 5 1.7857143 0.02568978 CBX3, PAFAH1B1, TMPO, MATR3, ITPR1 197 73 12782 4.444058132 0.999524672 0.534736 29.29883
GOTERM_CC_FAT GO:0043233~organelle lumen 39 13.928571 0.0276102 ENY2, SUPT3H, HMGB1, SYNCRIP, ZNF655, CNOT7, ZNF330, MRPL20, CORO2A, DDX3×, RBM8A, ZNF148, NUP50, TCEA 197 1820 12782 1.39035533 0.999733881 0.526841 31.13293
GOTERM_CC_FAT GO:0030054~cell junction 15 5.3571429 0.02854188 ARHGAP21, PTPRC, ENAH, CTBP2, CADPS2, GRIP1, PVRL3, CD99L2, ABCB1, CDH2, HOMER1, CXADR, ITGB1, RIMS1, TJA 197 518 12782 1.878858554 0.999799239 0.508085 32.00679
GOTERM_CC_FAT GO:0044445~cytosolic part 7 2.5 0.02964735 RPL30, PFDN1, UACA, RPL22, RPL21, GUCY1A3, UBB 197 152 12782 2.988044349 0.999856352 0.4937 33.03034
GOTERM_CC_FAT GO:0005912~adherens junction 7 2.5 0.03218777 PTPRC, ENAH, PVRL3, ABCB1, CDH2, CXADR, ITGB1 197 155 12782 2.930211233 0.999933536 0.496948 35.32875
GOTERM_CC_FAT GO:0031974~membrane-enclosed lumen 39 13.928571 0.03603007 ENY2, SUPT3H, HMGB1, SYNCRIP, ZNF655, CNOT7, ZNF330, MRPL20, CORO2A, DDX3×, RBM8A, ZNF148, NUP50, TCEA 197 1856 12782 1.363387231 0.999979362 0.512871 38.66672
GOTERM_MF_FAT GO:0003723~RNA binding 23 8.2142857 0.0016071 KRR1, SNRPA1, AIMP1, CPEB2, RPL15, SYNCRIP, MBNL1, IGF2BP3, DDX5, HNRNPA1, HNRNPU, MRPL20, RPL30, LARP4 201 718 12983 2.069104339 0.477004104 0.477004 2.220802
GOTERM_MF_FAT GO:0016881~acid-amino acid ligase activity 10 3.5714286 0.00396374 UBE2N, AKTIP, UBE3A, HERC4, UBE2NL, UBE2D1, TMEM189, FBXW11, LNX1, UBE2R2 201 201 12983 3.213534318 0.798217111 0.550797 5.394694
GOTERM_MF_FAT GO:0019787~small conjugating protein ligase activity 9 3.2142857 0.00418513 UBE2N, AKTIP, UBE3A, UBE2NL, UBE2D1, TMEM189, FBXW11, LNX1, UBE2R2 201 166 12983 3.501978061 0.815507665 0.43072 5.687888
GOTERM_MF_FAT GO:0003702~RNA polymerase II transcription factor activity 11 3.9285714 0.00457311 SUPT3H, ETV7, HIF1A, TBX3, ZNF148, CREB1, TCEA1, MED13, TCEB1, LCOR, FOXP1 201 244 12983 2.911936221 0.842320571 0.36985 6.199674
GOTERM_MF_FAT GO:0016879~ligase activity, forming carbon-nitrogen bonds 10 3.5714286 0.00955683 UBE2N, AKTIP, UBE3A, HERC4, UBE2NL, UBE2D1, TMEM189, FBXW11, LNX1, UBE2R2 201 231 12983 2.796192199 0.979140063 0.538828 12.54851
GOTERM_MF_FAT GO:0003735~structural constituent of ribosome 8 2.8571429 0.01527537 RPL30, RPL22, RPL21, RPL15, UBB, RPL10A, RPL12, MRPL20 201 168 12983 3.075811419 0.997977614 0.644387 19.34096
GOTERM_MF_FAT GO:0016566~specific transcriptional repressor activity 4 1.4285714 0.01770409 HEXIM1, YY1, HDAC9, FOXP1 201 36 12983 7.176893311 0.999252415 0.642414 22.07479
GOTERM_MF_FAT GO:0030528~transcription regulator activity 34 12.142857 0.02428221 ENY2, SUPT3H, ETV7, GRIP1, CBX3, CNOT7, MXI1, MYOCD, HEXIM1, ZNF148, BCL11A, ETV1, TCEA1, ERG, ZNF33A, SSB 201 1512 12983 1.452466503 0.99995015 0.710127 29.05338
GOTERM_MF_FAT GO:0003712~transcription cofactor activity 12 4.2857143 0.02515659 ENY2, SUPT3H, CTBP2, MYOCD, GRIP1, YY1, CREB1, BCL11A, MED13, HDAC9, DDX5, MXI1 201 363 12983 2.135274043 0.999965267 0.680458 29.936
GOTERM_MF_FAT GO:0004842~ubiquitin-protein ligase activity 7 2.5 0.0262357 UBE2N, UBE3A, UBE2NL, UBE2D1, FBXW11, LNX1, UBE2R2 201 147 12983 3.075811419 0.999977772 0.657477 31.01122
GOTERM_MF_FAT GO:0008134~transcription factor binding 15 5.3571429 0.02754274 ENY2, SUPT3H, HMGB1, CTBP2, GRIP1, YY1, CREB1, MED13, MXI1, DDX5, HIF1A, MYOCD, BCL11A, LCOR, HDAC9 201 513 12983 1.888656135 0.999987063 0.640565 32.29303
GOTERM_MF_FAT GO:0003779~actin binding 11 3.9285714 0.02969715 EPB41L2, PFN1, CORO2A, ENAH, YWHAH, CCDC88A, TNNC1, CALD1, CFL1, SPTA1, KLHL1 201 326 12983 2.179486006 0.999994708 0.636668 34.3577
GOTERM_MF_FAT GO:0019899~enzyme binding 15 5.3571429 0.03171181 PTPRC, CCDC88A, PTPRR, CBX3, CDH2, SOD1, RIMS1, PFN1, YWHAH, HIF1A, MAPT, PKD2, PAFAH1B1, RANBP2, HDAC9 201 523 12983 1.852544163 0.99999771 0.631749 36.23541
GOTERM_MF_FAT GO:0008092~cytoskeletal protein binding 14 5 0.04821415 ENAH, CCDC88A, TNNC1, CALD1, KLHL1, EPB41L2, PFN1, CORO2A, YWHAH, MAPT, CFL1, PKD2, PAFAH1B1, SPTA1 201 504 12983 1.794223328 0.999999998 0.758878 49.84218
GOTERM_MF_FAT GO:0016564~transcription repressor activity 10 3.5714286 0.05535048 CTBP2, TBX3, HEXIM1, ZNF148, YY1, BCL11A, CBX3, HDAC9, MXI1, FOXP1 201 316 12983 2.044051892 1 0.783426 54.84568

Clustering of genes were done by two methods, hierarchical and k-mean clustering. Hierarchical clustering with multiscale bootstrap resampling was done by Pvclust, an R statistical software package [4]. The Pvclust is an R package for assessing the uncertainty in hierarchical cluster analysis. For each cluster in hierarchical clustering, quantities called p-values are calculated via multiscale bootstrap resampling. The parameters (https://cran.r-project.org/web/packages/pvclust/pvclust.pdf) used here were 10000 bootstrap replications, cluster method: Ward algorithm and distance method: Euclidean. For the heat maps plot, we used log2 scale.

The k-mean clustering was performed by R (https://stat.ethz.ch/R-manual/R-devel/library/stats/html/kmeans.html), showing that the selection of features gave a higher accuracy than PAM alone. The genes were discriminated between the MI and non-MI vascular smooth muscle cells (VSMCs) samples (Table 7). A clustered result is shown in Fig. 2 of Ref. [1].

Table 7.

Contingency table of prediction results from 21 genes.

Reference
MI Non-MI Total
Prediction MI 16 2 18
Non-MI 1 18 19
Total 17 20 37


 

 

 


Reference
Event No-Event Total
Prediction Event A B A+B
No-Event C D C+D
Total A+C B+D A+B+C+D
Sensitivity = A/(A+C) 0.941176 94
Specificity = D/(B+D) 0.9 90
Accuracy = (A+D)/(A+B+C+D) 0.918919 92

Fig. 2.

Fig. 2

Hierarchical clustering on six RT-qPCR-based validation genes.

1.3. Protein processing, electrostatic repulsion-hydrophilic interaction chromatography (ERLIC) and LC-MS/MS analysis using Q-Exactive mass spectrometer

Differential expressed proteins identified are shown in Table 8. Only peptides identified with strict spectral false discovery rate of less than 1% (q-value ≤ 0.01) were considered.

Table 8.

Differentially expressed proteins.

graphic file with name fx1.gif
graphic file with name fx2.gif
graphic file with name fx3.gif

1.4. Hierarchical cluster analysis of RT-qPCR-based detected genes

Using six RT-qPCR-supported genes as a representative gene classifier characterizing the differences between MI and non-MI aortic samples, hierarchical clustering was performed with multiscale bootstrap resampling by Pvclust. The result is shown in Fig. 2.

1.5. Transcriptomic and proteomic pathways analysis

Systemic evaluation was performed using IPA (www.ingenuity.com) to identify transcriptomic and proteomic pathways, and significantly enriched canonical pathways are shown in Table 9. An integrated transcriptome-proteome correlation is performed to identify common enriched pathway and molecule (Table 10).

Table 9.

Pathway mapping of 370 transcripts (highlighted in light blue) and 94 proteins (highlighted in yellow).

graphic file with name fx4.gif

Table 10.

Pathway mapping of combined 21 gene signature and 94 proteins.

Ingenuity Canonical Pathways -log(p-value) Ratio Molecules
Superoxide Radicals Degradation 3.1 0.4 CAT,SOD1
RhoGDI Signaling 2.11 0.046 ITGB1,RACK1,GDI2,ACTG1
Acetyl-CoA Biosynthesis III (from Citrate) 2.04 1 ACLY
Clathrin-mediated Endocytosis Signaling 1.9 0.04 ITGB1,UBB,ARF6,ACTG1
Amyotrophic Lateral Sclerosis Signaling 1.82 0.052 CAT,BID,SOD1
Paxillin Signaling 1.82 0.052 ITGB1,ARF6,ACTG1
Regulation of eIF4 and p70S6K Signaling 1.69 0.035 ITGB1,EIF3G,EIF3F,RPS4X
Actin Cytoskeleton Signaling 1.64 0.033 ITGB1,PFN1,SSH3,ACTG1
Mitochondrial Dysfunction 1.63 0.033 NDUFA9,NDUFV2,CAT,COX5A
Crosstalk between Dendritic Cells and Natural Killer Cells 1.61 0.074 CAMK2D,ACTG1
NRF2-mediated Oxidative Stress Response 1.57 0.032 UBB,CAT,SOD1,ACTG1

2. Experimental design, materials and methods

2.1. Sample collection

Aortic tissue samples were obtained from patients who presented with coronary artery disease undergoing coronary artery bypass graft (CABG) surgery at the National University Hospital of Singapore from 2009 to 2013. Patients underwent CABG either after a recent myocardial infarction (MI group) or as stable angina patients (non-MI group). An aortic punch tissue was collected at the time of proximal anastomosis between the aorta and saphenous vein grafts. The tissues from the aortic punch were immediately preserved on dry ice, and stored in liquid nitrogen tank. The study was approved by the National Healthcare Group Domain Specific Review Board (Tissue Bank registration: NUH/2009-0073), and written informed consent was obtained from all patients. The study protocol conforms to the ethical guidelines of the 1975 Declaration of Helsinki.

2.2. Sample grouping

17 MI and 19 non-MI samples were recruited for laser capture microdissection (LCM) and microarray profiling. The proteomic study included 25 MI and 25 non-MI samples. Four MI and six non-MI samples overlapped between the microarray and proteomic studies. RT-qPCR was done on an independent cohort of samples, including an additional 20 MI and 20 non-MI samples. A schematic of the design and workflow is presented in Fig. 3.

Fig. 3.

Fig. 3

Work flow and study design.

2.3. Sample processing

The protocols for (1) cryosectioning and staining of aortic tissue, (2) LCM of VSMCs, total RNA isolation and complementary DNA (cDNA) synthesis, and (3) protein processing, ERLIC and LC-MS/MS analysis using Q-Exactive mass spectrometer are described in our manuscript [1].

2.4. RT-qPCR on an independent cohort of MI and non-MI samples

The RT-qPCR protocol is described in our manuscript [1]. The primers for ARF6, ATP1A2, GUCY1A3, HIF-1A, KLHL1, MYOCD, SOD1, and UBB were obtained from the Primer Bank: ARF6 forward primer 5′-GGGAAGGTGCTATCCAAAATCTT-3′ and reverse primer 5′-CACATCCCATACGTTGAACTTGA-3′; ATP1A2 forward primer 5′-TCTATCCACGAGCGAGAAGAC-3′ and reverse primer 5′-CCATGTAGGCATTTTGAAAGGC-3′; GUCY1A3 forward primer 5′-TCAGCCCTACTTGTTGTACTCC-3′ and reverse primer 5′-CAGAATAGCGATGTGGGAATCAC-3′; HIF-1A forward primer 5′-GAACGTCGAAAAGAAAAGTCTCG-3′ and reverse primer 5′-CCTTATCAAGATGCGAACTCACA-3′; KLHL1 forward primer 5′-TCAGGCTCTGGGCGAAAAG-3′ and reverse primer 5′-AAAGTGCTCACACCGCTTCTC-3′; MYOCD forward primer 5′-ACGGATGCTTTTGCCTTTGAA-3′ and reverse primer 5′- AACCTGTCGAAGGGGTATCTG-3′; SOD1 forward primer 5′-AAAGATGGTGTGGCCGATGT-3′ and reverse primer 5′-CAAGCCAAACGACTTCCAGC-3′; UBB forward primer 5′-GGTCCTGCGTCTGAGAGGT-3′ and reverse primer 5′-GGCCTTCACATTTTCGATGGT-3′.

Acknowledgements

This work was supported by the National University Health System Clinician Scientist Program, Singapore and Biomedical Institutes of A*STAR, Singapore. We thank Ms Chan Yang Sun (Genomic Institute of Singapore, A*STAR, Singapore) for laboratory support and tissue processing. We thank Dr. Zhiqun Tang (Bioinformatics Institute, A*STAR, Singapore) for bioinformatics suggestions. We also thank Dr. Yenamandra S.P. for useful discussion of the experimental design and optimization of the experimental study protocols.

Footnotes

Transparency document

Transparency data associated with this article can be found in the online version at 10.1016/j.dib.2018.01.108.

Transparency document. Supplementary material

Supplementary material

mmc1.pdf (6.3MB, pdf)

References

  • 1.T. Wongsurawat, C.C. Woo, A. Giannakakis, X.Y. Lin, E.S.H. Cheow, C.N. Lee, M. Richards, S.K. Sze, I. Nookaew, V.A. Kuznetsov, V. Sorokin, Distinctive molecular signature and activated signaling pathways in aortic smooth muscle cells of patients with myocardial infarction, Atherosclerosis (2018), 10.1016/j.atherosclerosis.2018.01.024. [DOI] [PubMed]
  • 2.Tibshirani R., Hastie T., Narasimhan B., Chu G. Diagnosis of multiple cancer types by shrunken centroids of gene expression. Proc. Natl. Acad. Sci. USA. 2002;99:6567–6572. doi: 10.1073/pnas.082099299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Huang W., Sherman B.T., Lempicki R.A. Systematic and integrative analysis of large gene lists using DAVID bioinformatics resources. Nat. Protoc. 2009;4:44–57. doi: 10.1038/nprot.2008.211. [DOI] [PubMed] [Google Scholar]
  • 4.Suzuki R., Shimodaira H. Pvclust: an R package for assessing the uncertainty in hierarchical clustering. Bioinformatics. 2006;22:1540–1542. doi: 10.1093/bioinformatics/btl117. [DOI] [PubMed] [Google Scholar]

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