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pmid:31289514

Examining the biomarkers and molecular mechanisms of medulloblastoma based on bioinformatics analysis.

Biao Yang · Jun-Xi Dai · Yuan-Bo Pan · Yan-Bin Ma · Sheng-Hua Chu

Oncology letters · 2019 doi:10.3892/ol.2019.10314

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Experiment

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Data

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Analysis

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title
Examining the biomarkers and molecular mechanisms of medulloblastoma based on bioinformatics analysis.
doi
10.3892/ol.2019.10314
pmid
31289514
authors array · 5 items
[0]
Biao Yang
[1]
Jun-Xi Dai
[2]
Yuan-Bo Pan
[3]
Yan-Bin Ma
[4]
Sheng-Hua Chu
journal
Oncology letters
year
2019
abstract
Medulloblastoma (MB) is the most common malignant brain tumor in children. The aim of the present study was to predict biomarkers and reveal their potential molecular mechanisms in MB. The gene expression profiles of GSE35493, GSE50161, GSE74195 and GSE86574 were downloaded from the Gene Expression Omnibus (GEO) database. Using the Limma package in R, a total of 1,006 overlapped differentially expressed genes (DEGs) with the cut-off criteria of P<0.05 and |log2fold-change (FC)|>1 were identified between MB and normal samples, including 540 upregulated and 466 downregulated genes. Furthermore, the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were also performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) online tool to analyze functional and pathway enrichment. The Search Tool for Retrieval of Interacting Genes database was subsequently used to construct a protein-protein interaction (PPI) network and the network was visualized in Cytoscape. The top 11 hub genes, including CDK1, CCNB1, CCNB2, PLK1, CDC20, MAD2L1, AURKB, CENPE, TOP2A, KIF2C and PCNA, were identified from the PPI network. The survival curves for hub genes in the dataset GSE85217 predicted the association between the genes and survival of patients with MB. The top 3 modules were identified by the Molecular Complex Detection plugin. The results indicated that the pathways of DEGs in module 1 were primarily enriched in cell cycle, progesterone-mediated oocyte maturation and oocyte meiosis; and the most significant functional pathways in modules 2 and 3 were primarily enriched in mismatch repair and ubiquitin-mediated proteolysis, respectively. These results may help elucidate the pathogenesis and design novel treatments for MB.
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Following robust multiarray average normalization, Limma in R package (version 3.26.9) was used to screen DEGs (15).
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Following robust multiarray average normalization, Limma in R package (version 3.26.9) was used to screen DEGs (15).
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sections[18] "Availability of data and materials" paragraph 2
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The datasets used and/or analyzed during the present study were obtained from the GEO, DAVID and STRING databases.
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[148]
GSM2261686
[149]
GSM2261687
[150]
GSM2261688
[151]
GSM2261689
[152]
GSM2261690
[153]
GSM2261691
[154]
GSM2261692
[155]
GSM2261693
[156]
GSM2261694
[157]
GSM2261695
[158]
GSM2261696
[159]
GSM2261697
[160]
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[161]
GSM2261699
[162]
GSM2261700
[163]
GSM2261701
[164]
GSM2261702
[165]
GSM2261703
[166]
GSM2261704
[167]
GSM2261705
[168]
GSM2261706
[169]
GSM2261707
[170]
GSM2261708
[171]
GSM2261709
[172]
GSM2261710
[173]
GSM2261711
[174]
GSM2261712
[175]
GSM2261713
[176]
GSM2261714
[177]
GSM2261715
[178]
GSM2261716
[179]
GSM2261717
[180]
GSM2261718
[181]
GSM2261719
[182]
GSM2261720
[183]
GSM2261721
[184]
GSM2261722
[185]
GSM2261723
[186]
GSM2261724
[187]
GSM2261725
[188]
GSM2261726
[189]
GSM2261727
[190]
GSM2261728
[191]
GSM2261729
[192]
GSM2261730
[193]
GSM2261731
[194]
GSM2261732
[195]
GSM2261733
[196]
GSM2261734
[197]
GSM2261735
[198]
GSM2261736
[199]
GSM2261737
[200]
GSM2261738
[201]
GSM2261739
[202]
GSM2261740
[203]
GSM2261741
[204]
GSM2261742
[205]
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[206]
GSM2261744
[207]
GSM2261745
[208]
GSM2261746
[209]
GSM2261747
[210]
GSM2261748
[211]
GSM2261749
[212]
GSM2261750
[213]
GSM2261751
[214]
GSM2261752
[215]
GSM2261753
[216]
GSM2261754
[217]
GSM2261755
[218]
GSM2261756
[219]
GSM2261757
[220]
GSM2261758
[221]
GSM2261759
[222]
GSM2261760
[223]
GSM2261761
[224]
GSM2261762
[225]
GSM2261763
[226]
GSM2261764
[227]
GSM2261765
[228]
GSM2261766
[229]
GSM2261767
[230]
GSM2261768
[231]
GSM2261769
[232]
GSM2261770
[233]
GSM2261771
[234]
GSM2261772
[235]
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[236]
GSM2261774
[237]
GSM2261775
[238]
GSM2261776
[239]
GSM2261777
[240]
GSM2261778
[241]
GSM2261779
[242]
GSM2261780
[243]
GSM2261781
[244]
GSM2261782
[245]
GSM2261783
[246]
GSM2261784
[247]
GSM2261785
[248]
GSM2261786
[249]
GSM2261787
[250]
GSM2261788
[251]
GSM2261789
[252]
GSM2261790
[253]
GSM2261791
[254]
GSM2261792
[255]
GSM2261793
[256]
GSM2261794
[257]
GSM2261795
[258]
GSM2261796
[259]
GSM2261797
[260]
GSM2261798
[261]
GSM2261799
[262]
GSM2261800
[263]
GSM2261801
[264]
GSM2261802
[265]
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[266]
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[267]
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[268]
GSM2261806
[269]
GSM2261807
[270]
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[271]
GSM2261809
[272]
GSM2261810
[273]
GSM2261811
[274]
GSM2261812
[275]
GSM2261813
[276]
GSM2261814
[277]
GSM2261815
[278]
GSM2261816
[279]
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[280]
GSM2261818
[281]
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[282]
GSM2261820
[283]
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[284]
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[285]
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[286]
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[287]
GSM2261825
[288]
GSM2261826
[289]
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[290]
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[291]
GSM2261829
[292]
GSM2261830
[293]
GSM2261831
[294]
GSM2261832
[295]
GSM2261833
[296]
GSM2261834
[297]
GSM2261835
[298]
GSM2261836
[299]
GSM2261837
[300]
GSM2261838
[301]
GSM2261839
[302]
GSM2261840
[303]
GSM2261841
[304]
GSM2261842
[305]
GSM2261843
[306]
GSM2261844
[307]
GSM2261845
[308]
GSM2261846
[309]
GSM2261847
[310]
GSM2261848
[311]
GSM2261849
[312]
GSM2261850
[313]
GSM2261851
[314]
GSM2261852
[315]
GSM2261853
[316]
GSM2261854
[317]
GSM2261855
[318]
GSM2261856
[319]
GSM2261857
[320]
GSM2261858
[321]
GSM2261859
[322]
GSM2261860
[323]
GSM2261861
[324]
GSM2261862
[325]
GSM2261863
[326]
GSM2261864
[327]
GSM2261865
[328]
GSM2261866
[329]
GSM2261867
[330]
GSM2261868
[331]
GSM2261869
[332]
GSM2261870
[333]
GSM2261871
[334]
GSM2261872
[335]
GSM2261873
[336]
GSM2261874
[337]
GSM2261875
[338]
GSM2261876
[339]
GSM2261877
[340]
GSM2261878
[341]
GSM2261879
[342]
GSM2261880
[343]
GSM2261881
[344]
GSM2261882
[345]
GSM2261883
[346]
GSM2261884
[347]
GSM2261885
[348]
GSM2261886
[349]
GSM2261887
[350]
GSM2261888
[351]
GSM2261889
[352]
GSM2261890
[353]
GSM2261891
[354]
GSM2261892
[355]
GSM2261893
[356]
GSM2261894
[357]
GSM2261895
[358]
GSM2261896
[359]
GSM2261897
[360]
GSM2261898
[361]
GSM2261899
[362]
GSM2261900
[363]
GSM2261901
[364]
GSM2261902
[365]
GSM2261903
[366]
GSM2261904
[367]
GSM2261905
[368]
GSM2261906
[369]
GSM2261907
[370]
GSM2261908
[371]
GSM2261909
[372]
GSM2261910
[373]
GSM2261911
[374]
GSM2261912
[375]
GSM2261913
[376]
GSM2261914
[377]
GSM2261915
[378]
GSM2261916
[379]
GSM2261917
[380]
GSM2261918
[381]
GSM2261919
[382]
GSM2261920
[383]
GSM2261921
[384]
GSM2261922
[385]
GSM2261923
[386]
GSM2261924
[387]
GSM2261925
[388]
GSM2261926
[389]
GSM2261927
[390]
GSM2261928
[391]
GSM2261930
[392]
GSM2261933
[393]
GSM2261935
[394]
GSM2261937
[395]
GSM2261939
[396]
GSM2261941
[397]
GSM2261943
[398]
GSM2261945
[399]
GSM2261946
[400]
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[401]
GSM2261951
[402]
GSM2261953
[403]
GSM2261954
[404]
GSM2261955
[405]
GSM2261956
[406]
GSM2261957
[407]
GSM2261958
[408]
GSM2261959
[409]
GSM2261960
[410]
GSM2261961
[411]
GSM2261962
[412]
GSM2261963
[413]
GSM2261964
[414]
GSM2261965
[415]
GSM2261966
[416]
GSM2261967
[417]
GSM2261968
[418]
GSM2261969
[419]
GSM2261970
[420]
GSM2261971
[421]
GSM2261972
[422]
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[423]
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[424]
GSM2261975
[425]
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[426]
GSM2261977
[427]
GSM2261978
[428]
GSM2261979
[429]
GSM2261980
[430]
GSM2261981
[431]
GSM2261982
[432]
GSM2261983
[433]
GSM2261984
[434]
GSM2261985
[435]
GSM2261986
[436]
GSM2261987
[437]
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[438]
GSM2261989
[439]
GSM2261990
[440]
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[441]
GSM2261992
[442]
GSM2261993
[443]
GSM2261994
[444]
GSM2261995
[445]
GSM2261996
[446]
GSM2261997
[447]
GSM2261998
[448]
GSM2261999
[449]
GSM2262000
[450]
GSM2262001
[451]
GSM2262002
[452]
GSM2262003
[453]
GSM2262004
[454]
GSM2262005
[455]
GSM2262006
[456]
GSM2262007
[457]
GSM2262008
[458]
GSM2262009
[459]
GSM2262010
[460]
GSM2262011
[461]
GSM2262012
[462]
GSM2262013
[463]
GSM2262014
[464]
GSM2262015
[465]
GSM2262016
[466]
GSM2262017
[467]
GSM2262018
[468]
GSM2262019
[469]
GSM2262020
[470]
GSM2262021
[471]
GSM2262022
[472]
GSM2262023
[473]
GSM2262024
[474]
GSM2262025
[475]
GSM2262026
[476]
GSM2262027
[477]
GSM2262028
[478]
GSM2262029
[479]
GSM2262030
[480]
GSM2262031
[481]
GSM2262032
[482]
GSM2262033
[483]
GSM2262034
[484]
GSM2262035
[485]
GSM2262036
[486]
GSM2262037
[487]
GSM2262038
[488]
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[489]
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[490]
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[491]
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[492]
GSM2262043
[493]
GSM2262044
[494]
GSM2262045
[495]
GSM2262046
[496]
GSM2262047
[497]
GSM2262048
[498]
GSM2262049
[499]
GSM2262050
[500]
GSM2262051
[501]
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[502]
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[503]
GSM2262054
[504]
GSM2262055
[505]
GSM2262056
[506]
GSM2262057
[507]
GSM2262058
[508]
GSM2262059
[509]
GSM2262060
[510]
GSM2262061
[511]
GSM2262062
[512]
GSM2262063
[513]
GSM2262064
[514]
GSM2262065
[515]
GSM2262066
[516]
GSM2262067
[517]
GSM2262068
[518]
GSM2262069
[519]
GSM2262070
[520]
GSM2262071
[521]
GSM2262072
[522]
GSM2262073
[523]
GSM2262074
[524]
GSM2262075
[525]
GSM2262076
[526]
GSM2262077
[527]
GSM2262078
[528]
GSM2262079
[529]
GSM2262080
[530]
GSM2262081
[531]
GSM2262082
[532]
GSM2262083
[533]
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[534]
GSM2262085
[535]
GSM2262086
[536]
GSM2262087
[537]
GSM2262088
[538]
GSM2262089
[539]
GSM2262090
[540]
GSM2262091
[541]
GSM2262092
[542]
GSM2262093
[543]
GSM2262094
[544]
GSM2262095
[545]
GSM2262096
[546]
GSM2262097
[547]
GSM2262098
[548]
GSM2262099
[549]
GSM2262100
[550]
GSM2262101
[551]
GSM2262102
[552]
GSM2262103
[553]
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[554]
GSM2262105
[555]
GSM2262106
[556]
GSM2262107
[557]
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[558]
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[559]
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[560]
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[561]
GSM2262112
[562]
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[563]
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[564]
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[565]
GSM2262116
[566]
GSM2262117
[567]
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[568]
GSM2262119
[569]
GSM2262120
[570]
GSM2262121
[571]
GSM2262122
[572]
GSM2262123
[573]
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[574]
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[575]
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[576]
GSM2262127
[577]
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[578]
GSM2262129
[579]
GSM2262130
[580]
GSM2262131
[581]
GSM2262132
[582]
GSM2262133
[583]
GSM2262134
[584]
GSM2262135
[585]
GSM2262136
[586]
GSM2262137
[587]
GSM2262138
[588]
GSM2262139
[589]
GSM2262140
[590]
GSM2262141
[591]
GSM2262142
[592]
GSM2262143
[593]
GSM2262144
[594]
GSM2262145
[595]
GSM2262146
[596]
GSM2262147
[597]
GSM2262148
[598]
GSM2262149
[599]
GSM2262150
[600]
GSM2262151
[601]
GSM2262152
[602]
GSM2262153
[603]
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[604]
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[605]
GSM2262156
[606]
GSM2262157
[607]
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[608]
GSM2262159
[609]
GSM2262160
[610]
GSM2262161
[611]
GSM2262162
[612]
GSM2262163
[613]
GSM2262164
[614]
GSM2262165
[615]
GSM2262166
[616]
GSM2262167
[617]
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[618]
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[619]
GSM2262170
[620]
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[621]
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[622]
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[623]
GSM2262174
[624]
GSM2262175
[625]
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[626]
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[627]
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[628]
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[629]
GSM2262180
[630]
GSM2262181
[631]
GSM2262182
[632]
GSM2262183
[633]
GSM2262184
[634]
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[635]
GSM2262186
[636]
GSM2262187
[637]
GSM2262188
[638]
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[639]
GSM2262190
[640]
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[641]
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[642]
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[643]
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[644]
GSM2262195
[645]
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[646]
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[647]
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[648]
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[649]
GSM2262200
[650]
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[651]
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[652]
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[653]
GSM2262204
[654]
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[655]
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[656]
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[657]
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[658]
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[659]
GSM2262210
[660]
GSM2262211
[661]
GSM2262212
[662]
GSM2262213
[663]
GSM2262214
[664]
GSM2262215
[665]
GSM2262216
[666]
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[667]
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[668]
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[669]
GSM2262220
[670]
GSM2262221
[671]
GSM2262222
[672]
GSM2262223
[673]
GSM2262224
[674]
GSM2262225
[675]
GSM2262226
[676]
GSM2262227
[677]
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[678]
GSM2262229
[679]
GSM2262230
[680]
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[681]
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[682]
GSM2262233
[683]
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[684]
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[685]
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[686]
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[687]
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[688]
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[689]
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[690]
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[691]
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[692]
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[693]
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[694]
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[695]
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[696]
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[697]
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[698]
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[699]
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[700]
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[701]
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[702]
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[703]
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[704]
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[705]
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[706]
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[707]
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[708]
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[709]
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[710]
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[711]
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[712]
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[713]
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[714]
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[715]
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[716]
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[717]
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[718]
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[719]
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[720]
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[721]
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[722]
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[723]
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[724]
GSM2262275
[725]
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[726]
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[727]
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[728]
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[729]
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[730]
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[731]
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[733]
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[734]
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[735]
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[736]
GSM2262287
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[738]
GSM2262289
[739]
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[741]
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[742]
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[743]
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[744]
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[745]
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[746]
GSM2262297
[747]
GSM2262298
[748]
GSM2262299
[749]
GSM2262300
[750]
GSM2262301
[751]
GSM2262302
[752]
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[753]
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[754]
GSM2262305
[755]
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[756]
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[757]
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[758]
GSM2262309
[759]
GSM2262310
[760]
GSM2262311
[761]
GSM2262312
[762]
GSM2262313
sample_count
763
group_sizes
null
group_sizes_basis
null
platform
22286
taxon
Homo sapiens
title
Expression data from primary medulloblastoma samples
resolution_checked_at
2026-11-01T15:39:55Z
resolution_check
identifier_resolution_only_no_download_no_licence_read
downloaded
false
licence_read
false
[5] object · 15 fields
id
data:geo:GSE86574
role
raw
format
geo-series
media_type
application/vnd.ncbi.geo-series+json
uri
https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE86574
sha256
null
bytes
null
access
open
state
resolved
reader
null
reader_status
reader_required
identifier
GSE86574
version
null
note
The datasets used and/or analyzed during the present study were obtained from the GEO, DAVID and STRING databases.
structure object · 15 fields
repository
GEO
access_route
GEO accession URL
access_statement_verbatim
The datasets used and/or analyzed during the present study were obtained from the GEO, DAVID and STRING databases.
access_statement_kind
data_availability_statement
sample_accessions array · 110 items
[0]
GSM2306094
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GSM2306095
[2]
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[6]
GSM2306100
[7]
GSM2306101
[8]
GSM2306102
[9]
GSM2306103
[10]
GSM2306104
[11]
GSM2306105
[12]
GSM2306106
[13]
GSM2306107
[14]
GSM2306108
[15]
GSM2306109
[16]
GSM2306110
[17]
GSM2306111
[18]
GSM2306112
[19]
GSM2306113
[20]
GSM2306114
[21]
GSM2306115
[22]
GSM2306116
[23]
GSM2306117
[24]
GSM2306118
[25]
GSM2306119
[26]
GSM2306120
[27]
GSM2306121
[28]
GSM2306122
[29]
GSM2306123
[30]
GSM2306124
[31]
GSM2306125
[32]
GSM2306126
[33]
GSM2306127
[34]
GSM2306128
[35]
GSM2306129
[36]
GSM2306130
[37]
GSM2306131
[38]
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GSM2306203
sample_count
110
group_sizes
null
group_sizes_basis
null
platform
570
taxon
Homo sapiens
title
Characterization of Two Novel Ependymoma Cell Lines with Chromosome 1q gain derived from Posterior Fossa Tumors of Childhood
resolution_checked_at
2026-11-01T15:39:55Z
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identifier_resolution_only_no_download_no_licence_read
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licence_read
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[4]
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[5]
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[6]
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[7]
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[8]
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[9]
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analysis object · 4 fields
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complete
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Differential expression analysis
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Following robust multiarray average normalization, Limma in R package (version 3.26.9) was used to screen DEGs (15).
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id
method-2
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network_analysis
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method-3
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network_analysis
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Network / pathway analysis
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pathway enrichment
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capability:computational_analysis
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[8]
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candidate
Automated Assays Laravel application and simulated adapters
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The paper names the method it used and the corpus's method extractor maps it onto the DSL catalogue: limma_voom.
capability object · 4 fields
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capability_id
capability:computational_analysis
availability_state
owned
basis
The computational analysis is owned. The physical bench the paper used is not, so a physical validation cannot be run here.
data object · 6 fields
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GSE35493
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[0]
The datasets used and/or analyzed during the present study were obtained from the GEO, DAVID and STRING databases.
basis
The paper names GSE35493, GSE50161, GSE74195, GSE86574, GSE85217 in Gene Expression Omnibus (GEO) and the accession resolves in the repository. No dataset was downloaded and no licence was read.
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source:pmid:31289514
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data:geo:GSE35493
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review object · 5 fields
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partial
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extraction_review
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MiniMax-M3.1-Flash
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minimax
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minimax
read_at
2026-10-31T18:15:30Z
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single_reader
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verbatim
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verbatim
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extraction
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paper
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source:pmid:31289514
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manuscript
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PMID 31289514 full text
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data:geo:GSE35493
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GEO GSE35493
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classification
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PMID 31289514 full text
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data:geo:GSE35493
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GEO GSE35493
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agent:corpus-assay-engine
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activity-resolve-GSE35493
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agent:corpus-assay-engine
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Following robust multiarray average normalization, Limma in R package (version 3.26.9) was used to screen DEGs (15).
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The gene expression profiles of GSE35493, GSE50161, GSE74195 and GSE86574 were downloaded from the Gene Expression Omnibus (GEO) database. Using the Limma package in R, a total of 1,006 overlapped differentially expressed genes (DEGs) with the cut-off criteria of P<0.05 and |log2fold-change (FC)|>1 were identified between MB and normal samples, including 540 upregulated and 466 downregulated genes. Furthermore, the Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were also performed using the Database for Annotation, Visualization and Integrated Discovery (DAVID) online tool to analyze functional and pathway enrichment. The Search Tool for Retrieval of Interacting Genes database was subsequently used to construct a protein-protein interaction (PPI) network and the network was visualized in Cytoscape. 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