SlideShare ist ein Scribd-Unternehmen logo
1 von 23
Downloaden Sie, um offline zu lesen
t Apparent microRNA-taarrggeett--ssppeecciiffiicc hhiissttoonnee 
mmooddiiffiiccaattiioonn iinn 
mmaammmmaalliiaann ssppeerrmmaattooggeenneessiiss 
YY--hh.. TTaagguucchhii 
DDeepptt.. PPhhyyss.. 
CChhuuoo UUnniivv..
IInnttrroodduuccttiioonn 
EEppiiggeenneettiicc rreegguullaattiioonn ooff ggeennee eexxpprreessssiioonn iiss 
kknnoowwnn ttoo bbee iimmppoorrttaanntt nnoowwaaddaayyss.. 
ee..gg.. 
-- DDeevveellooppmmeenntt aanndd CCeelllluullaarr DDiiffffeerreennttiiaattiioonn 
-- DDiisseeaasseess iinncclluuddiinngg CCaanncceerr 
-- AAggiinngg
EExxaammppllee ooff EEppiiggeenneettiicc rreegguullaattiioonn ooff ggeenneess 
-- TTrraannssccrriippttiioonn FFaaccttoorr BBiinnddiinnggss ttoo 
pprroommootteerr rreeggiioonn 
-- HHiissttoonn mmooddiiffiiccaattiioonn 
-- PPrroommootteerr MMeetthhyyllaattiioonn 
-- mmiiRRNNAA rreegguullaattiioonn ooff ttaarrggeett ggeenneess.. 
eettcc.. eettcc.. 
IInntteerraaccttiioonn 
RRaarreellyy 
DDiissccuusssseedd 
BBootthh ggeennee rreegguullaattiioonn
cell nucleus 
miRNA 
Gene 
3'UTR 
cytoplasm 
histone 
modification 
histone modification ↔ cell nucleus 
miRNA ↔ cytoplasm
PPrreevviioouuss RReesseeaarrcchh 
SSuu eett aall ((22001111,, BBMMCC GGeennoommiiccss)) 
““mmiiRRNNAAss tteennddeedd ttoo ttaarrggeett tthhee ggeenneess 
wwiitthh aa llooww DDNNAA mmeetthhyyllaattiioonn lleevveell iinn tthheeiirr 
pprroommootteerr rreeggiioonnss”” 
PPrroommootteerr mmeetthhyyllaattiioonn ↔↔ mmiiRRNNAA ttaarrggeettiinngg 
PPuurrppoossee ooff mmyy ssttuuddyy:: 
HHiissttoonnee mmooddiiffiiccaattiioonn iiss mmiiRRNNAA--ttaarrggeettiinngg--ssppeecciiffiicc oorr nnoott?? 
((IInn ootthheerr wwoorrddss,, hhiissttoonnee mmooddiiffiiccaattiioonn iiss aaffffeecctteedd bbyy bbeeiinngg 
ttaarrggeetteedd bbyy iinnddiivviidduuaall mmiiRRNNAA oorr nnoott??))
MiRaGE Method 
MiRaGE : 
MiRNA Ranking by Gene Expression 
Histone modification 
significantly 
up/downregulated? 
(t test, Wilcoxon test, KS test) 
miRNA 
target 
gene 
target 
gene 
VS 
considered 
miRNA 
gene 
modified histone?
My Previous Results 
“Substantial number of miRNAs have target 
genes with significantly 
hyper/hypomethylated promoters” 
References: 
- Y-h. Taguchi (2012) IPSJ SIG Tech. Rep. 
2012-BIO-31(1) pp.1-6 
- Y-h. Taguchi, (2013) F1000Research 
[v1; ref status: approved 1, not approved 2, 
http://f1000r.es/wv]
This Study 
Comparison between miRNA and histone 
modification during spermatogenesis in 
miRNA-centric manner. 
NGS: 
Spermatogonia(SG)→Spermatocytes(SC)→ 
Spermatids(ST) vs Controls 
H3K4me1, H3K27me3, H3K4me3, H3K27ac, 
H2AZ
Calculation 
- Many miRNAs with significant (*) histone modification 
among multiple miRNAs for all SC, ST, SG vs Controls 
(*) BH adjusted P <0.05 
SG 
SC 
SG ST 
ST SC
less modificated more modificated 
Differenciation
Clustering using negative signed correlation 
Cluste 
coefficient of PP--vvaalluueess 
Biologically feasible
Clustering using negative signed correlation 
coefficient of llooggaarriitthhmmiicc rraattiioo 
Less biologically feasible
P-values computed by 
MiRaGE are more biologically 
feasible than raw values 
(logarithmic ratio)
Selected miRNAs are biologically rreeaassoonnaabbllee 
less modificated 
hsa- 
more modificated 
hsa- 
Stemness Mouse ES cell specific 
↑during differentiation 
hsa- 
Critical roles in spermatogenesis 
Sperm abnormaly 
hsa- 
Expressed in abnormal semen
Is it artifact ? → No, since essentially nnoo mmiiRRNNAAss wwiitthh 
ssiiggnniiffiiccaanntt hhiissttoonnee mmooddiiffiiccaattiioonn aafftteerr ggeennee sshhuufffflliinngg 
less modificated more modificated
Samples → 
Test 2 
mRNA(gene) → 
Simultaneous shuffling with keeping 
correlation coefficients of logarithmic ratio
Clustering using negative signed correlation 
coefficient of PP--vvaalluueess after simultaneous shuffling 
More similar to cluster obtained 
by raw values (logarithmic ratio)
Thus, converting logarithmic ratio to 
P-values by MiRaGE enphances 
biological feasibility
Human sperm exhibits similar miRNA 
specific histone modification 
less modificated more modificated
Too simple model? → comparison wwiitthh llaassssoo 
Predicted activity of k th miRNA 
differential expression 
of i th mRNA and j th histone 
modification 
11 if k th miRNA targets ith mRNA 
00 otherwise
βk P-values
MiRaGE is well coincident with lasso. 
Thus, biological feasibilities obtained by 
miRNA specific histone modification will 
not be likely fake.
CCoonncclluussiioonnss 
・P-values computed by MiRaGE are highly 
tissue/histone modification specific. 
・ Most significant miRNAs are stem cell or sperm 
specific. Thus, biologically feasible. 
・Since gene order shuffling destroys miRNA 
specific significant histone modification, it is not 
an artifact. 
・Since it is coincident with lasso, biological 
feasibility is not due to too simple algorithm 
・Biological mechanism that causes miRNA 
specific histone modification should be cleared.

Weitere ähnliche Inhalte

Was ist angesagt?

Gene targeting and sequence tags
Gene targeting and sequence tagsGene targeting and sequence tags
Gene targeting and sequence tagsAlen Shaji
 
Site directed mutgenesis, OLIGONUCLEOTIDE DIRECTED MUTAGENESIS
Site directed mutgenesis, OLIGONUCLEOTIDE DIRECTED MUTAGENESIS Site directed mutgenesis, OLIGONUCLEOTIDE DIRECTED MUTAGENESIS
Site directed mutgenesis, OLIGONUCLEOTIDE DIRECTED MUTAGENESIS Vipin Shukla
 
epigenomics for crop improvement
epigenomics for crop improvementepigenomics for crop improvement
epigenomics for crop improvementanjaligoud
 
TILLING & Eco-TILLING : Reverse Genetics Approaches for Crop Improvement
TILLING & Eco-TILLING : Reverse Genetics  Approaches for Crop ImprovementTILLING & Eco-TILLING : Reverse Genetics  Approaches for Crop Improvement
TILLING & Eco-TILLING : Reverse Genetics Approaches for Crop ImprovementVinod Pawar
 
Tilling and ecotilling
Tilling and ecotillingTilling and ecotilling
Tilling and ecotillingpandadebadatta
 
Forward and reverse genetics
Forward and reverse geneticsForward and reverse genetics
Forward and reverse geneticsVinod Pawar
 
Roleoffunctionalgenomicsincropimprovement ashishgautam
Roleoffunctionalgenomicsincropimprovement ashishgautamRoleoffunctionalgenomicsincropimprovement ashishgautam
Roleoffunctionalgenomicsincropimprovement ashishgautamAshish Gautam
 
Proteomics a search tool for vaccines
Proteomics a search tool for vaccinesProteomics a search tool for vaccines
Proteomics a search tool for vaccinesLawrence Okoror
 
Target Inducing Local Lesions In Genome (Tilling)
Target Inducing Local Lesions In Genome (Tilling)Target Inducing Local Lesions In Genome (Tilling)
Target Inducing Local Lesions In Genome (Tilling)Ankit R. Chaudhary
 
Epigentecs and heterosis
Epigentecs and heterosisEpigentecs and heterosis
Epigentecs and heterosisBhavya Sree
 
Population fitness and genetic load of
Population fitness and genetic load ofPopulation fitness and genetic load of
Population fitness and genetic load ofThanka Elango
 
Transposon mutagenesis 629
Transposon mutagenesis  629Transposon mutagenesis  629
Transposon mutagenesis 629Sushma Ahirwar
 
Site-Directed Mutagenesis of β-2 Microglobulin Research Symposium Poster
Site-Directed Mutagenesis of β-2 Microglobulin Research Symposium PosterSite-Directed Mutagenesis of β-2 Microglobulin Research Symposium Poster
Site-Directed Mutagenesis of β-2 Microglobulin Research Symposium PosterTyler Liang
 
Gene expression and regulation
Gene expression and regulationGene expression and regulation
Gene expression and regulationDavid Enoma
 

Was ist angesagt? (20)

Reverse genetics
Reverse geneticsReverse genetics
Reverse genetics
 
Gene targeting and sequence tags
Gene targeting and sequence tagsGene targeting and sequence tags
Gene targeting and sequence tags
 
Mutational analysis
Mutational analysisMutational analysis
Mutational analysis
 
Site directed mutgenesis, OLIGONUCLEOTIDE DIRECTED MUTAGENESIS
Site directed mutgenesis, OLIGONUCLEOTIDE DIRECTED MUTAGENESIS Site directed mutgenesis, OLIGONUCLEOTIDE DIRECTED MUTAGENESIS
Site directed mutgenesis, OLIGONUCLEOTIDE DIRECTED MUTAGENESIS
 
epigenomics for crop improvement
epigenomics for crop improvementepigenomics for crop improvement
epigenomics for crop improvement
 
TILLING & Eco-TILLING : Reverse Genetics Approaches for Crop Improvement
TILLING & Eco-TILLING : Reverse Genetics  Approaches for Crop ImprovementTILLING & Eco-TILLING : Reverse Genetics  Approaches for Crop Improvement
TILLING & Eco-TILLING : Reverse Genetics Approaches for Crop Improvement
 
Tilling and ecotilling
Tilling and ecotillingTilling and ecotilling
Tilling and ecotilling
 
mutagenesis
mutagenesismutagenesis
mutagenesis
 
Forward and reverse genetics
Forward and reverse geneticsForward and reverse genetics
Forward and reverse genetics
 
Roleoffunctionalgenomicsincropimprovement ashishgautam
Roleoffunctionalgenomicsincropimprovement ashishgautamRoleoffunctionalgenomicsincropimprovement ashishgautam
Roleoffunctionalgenomicsincropimprovement ashishgautam
 
Proteomics a search tool for vaccines
Proteomics a search tool for vaccinesProteomics a search tool for vaccines
Proteomics a search tool for vaccines
 
Target Inducing Local Lesions In Genome (Tilling)
Target Inducing Local Lesions In Genome (Tilling)Target Inducing Local Lesions In Genome (Tilling)
Target Inducing Local Lesions In Genome (Tilling)
 
Epigentecs and heterosis
Epigentecs and heterosisEpigentecs and heterosis
Epigentecs and heterosis
 
Population fitness and genetic load of
Population fitness and genetic load ofPopulation fitness and genetic load of
Population fitness and genetic load of
 
Transposon mutagenesis 629
Transposon mutagenesis  629Transposon mutagenesis  629
Transposon mutagenesis 629
 
Mir prapik
Mir prapikMir prapik
Mir prapik
 
Austin Neurology & Neurosciences
Austin Neurology & NeurosciencesAustin Neurology & Neurosciences
Austin Neurology & Neurosciences
 
Site-Directed Mutagenesis of β-2 Microglobulin Research Symposium Poster
Site-Directed Mutagenesis of β-2 Microglobulin Research Symposium PosterSite-Directed Mutagenesis of β-2 Microglobulin Research Symposium Poster
Site-Directed Mutagenesis of β-2 Microglobulin Research Symposium Poster
 
Tilling ppt by mohsin
Tilling ppt by mohsinTilling ppt by mohsin
Tilling ppt by mohsin
 
Gene expression and regulation
Gene expression and regulationGene expression and regulation
Gene expression and regulation
 

Ähnlich wie Apparent microRNA-target-specific histone modification in mammalian spermatogenesis

MicroRNA-Disease Predictions Based On Genomic Data
MicroRNA-Disease Predictions Based On Genomic DataMicroRNA-Disease Predictions Based On Genomic Data
MicroRNA-Disease Predictions Based On Genomic Dataijtsrd
 
RT-PCR and DNA microarray measurement of mRNA cell proliferation
RT-PCR and DNA microarray measurement of mRNA cell proliferationRT-PCR and DNA microarray measurement of mRNA cell proliferation
RT-PCR and DNA microarray measurement of mRNA cell proliferationIJAEMSJORNAL
 
A system approaches to identifing gene rgulatory network
A system approaches to identifing  gene rgulatory networkA system approaches to identifing  gene rgulatory network
A system approaches to identifing gene rgulatory networksibasis sahoo
 
miScript Single Cell Poster
miScript Single Cell PostermiScript Single Cell Poster
miScript Single Cell PosterQIAGEN
 
WDR7 up-regulation upon knocking down of neighboring noncoding RNA using siRN...
WDR7 up-regulation upon knocking down of neighboring noncoding RNA using siRN...WDR7 up-regulation upon knocking down of neighboring noncoding RNA using siRN...
WDR7 up-regulation upon knocking down of neighboring noncoding RNA using siRN...Vahid Erfani-Moghadam
 
IRJET- Disease Identification using Proteins Values and Regulatory Modules
IRJET-  	  Disease Identification using Proteins Values and Regulatory  ModulesIRJET-  	  Disease Identification using Proteins Values and Regulatory  Modules
IRJET- Disease Identification using Proteins Values and Regulatory ModulesIRJET Journal
 
2016-08-20-srep31431
2016-08-20-srep314312016-08-20-srep31431
2016-08-20-srep31431Arpad Palfi
 
Please describe in detaila. How to create and to use a transpo.pdf
Please describe in detaila. How to create and to use a transpo.pdfPlease describe in detaila. How to create and to use a transpo.pdf
Please describe in detaila. How to create and to use a transpo.pdf4babies2010
 
CSUN SYMPOSIUM Final
CSUN SYMPOSIUM Final CSUN SYMPOSIUM Final
CSUN SYMPOSIUM Final Alina Adamian
 
BiPday 2014 --Creanza Teresa
BiPday 2014 --Creanza TeresaBiPday 2014 --Creanza Teresa
BiPday 2014 --Creanza Teresaeventi-ITBbari
 
Functional genomics, and tools
Functional genomics, and toolsFunctional genomics, and tools
Functional genomics, and toolsKAUSHAL SAHU
 
Mi rna series i-dec 2012
Mi rna series i-dec 2012Mi rna series i-dec 2012
Mi rna series i-dec 2012Elsa von Licy
 
An gef mi_scriptffpe
An gef mi_scriptffpeAn gef mi_scriptffpe
An gef mi_scriptffpeElsa von Licy
 
Genomics(functional genomics)
Genomics(functional genomics)Genomics(functional genomics)
Genomics(functional genomics)IndrajaDoradla
 
Computational models for the analysis of gene expression regulation and its a...
Computational models for the analysis of gene expression regulation and its a...Computational models for the analysis of gene expression regulation and its a...
Computational models for the analysis of gene expression regulation and its a...amathelier
 
Gene silencing and rnai
Gene silencing and rnaiGene silencing and rnai
Gene silencing and rnaishiney chatak
 
COMPETENCY 3Integrate credible and relevant sources into coursew
COMPETENCY 3Integrate credible and relevant sources into coursewCOMPETENCY 3Integrate credible and relevant sources into coursew
COMPETENCY 3Integrate credible and relevant sources into coursewLynellBull52
 
Introns: structure and functions
Introns: structure and functionsIntrons: structure and functions
Introns: structure and functionsbhagatyogesh12
 

Ähnlich wie Apparent microRNA-target-specific histone modification in mammalian spermatogenesis (20)

MicroRNA-Disease Predictions Based On Genomic Data
MicroRNA-Disease Predictions Based On Genomic DataMicroRNA-Disease Predictions Based On Genomic Data
MicroRNA-Disease Predictions Based On Genomic Data
 
RT-PCR and DNA microarray measurement of mRNA cell proliferation
RT-PCR and DNA microarray measurement of mRNA cell proliferationRT-PCR and DNA microarray measurement of mRNA cell proliferation
RT-PCR and DNA microarray measurement of mRNA cell proliferation
 
A system approaches to identifing gene rgulatory network
A system approaches to identifing  gene rgulatory networkA system approaches to identifing  gene rgulatory network
A system approaches to identifing gene rgulatory network
 
20150115_JQO_NYAPopulationGenomics
20150115_JQO_NYAPopulationGenomics20150115_JQO_NYAPopulationGenomics
20150115_JQO_NYAPopulationGenomics
 
miScript Single Cell Poster
miScript Single Cell PostermiScript Single Cell Poster
miScript Single Cell Poster
 
WDR7 up-regulation upon knocking down of neighboring noncoding RNA using siRN...
WDR7 up-regulation upon knocking down of neighboring noncoding RNA using siRN...WDR7 up-regulation upon knocking down of neighboring noncoding RNA using siRN...
WDR7 up-regulation upon knocking down of neighboring noncoding RNA using siRN...
 
IRJET- Disease Identification using Proteins Values and Regulatory Modules
IRJET-  	  Disease Identification using Proteins Values and Regulatory  ModulesIRJET-  	  Disease Identification using Proteins Values and Regulatory  Modules
IRJET- Disease Identification using Proteins Values and Regulatory Modules
 
2016-08-20-srep31431
2016-08-20-srep314312016-08-20-srep31431
2016-08-20-srep31431
 
Please describe in detaila. How to create and to use a transpo.pdf
Please describe in detaila. How to create and to use a transpo.pdfPlease describe in detaila. How to create and to use a transpo.pdf
Please describe in detaila. How to create and to use a transpo.pdf
 
CSUN SYMPOSIUM Final
CSUN SYMPOSIUM Final CSUN SYMPOSIUM Final
CSUN SYMPOSIUM Final
 
BiPday 2014 --Creanza Teresa
BiPday 2014 --Creanza TeresaBiPday 2014 --Creanza Teresa
BiPday 2014 --Creanza Teresa
 
Gene expresion
Gene expresionGene expresion
Gene expresion
 
Functional genomics, and tools
Functional genomics, and toolsFunctional genomics, and tools
Functional genomics, and tools
 
Mi rna series i-dec 2012
Mi rna series i-dec 2012Mi rna series i-dec 2012
Mi rna series i-dec 2012
 
An gef mi_scriptffpe
An gef mi_scriptffpeAn gef mi_scriptffpe
An gef mi_scriptffpe
 
Genomics(functional genomics)
Genomics(functional genomics)Genomics(functional genomics)
Genomics(functional genomics)
 
Computational models for the analysis of gene expression regulation and its a...
Computational models for the analysis of gene expression regulation and its a...Computational models for the analysis of gene expression regulation and its a...
Computational models for the analysis of gene expression regulation and its a...
 
Gene silencing and rnai
Gene silencing and rnaiGene silencing and rnai
Gene silencing and rnai
 
COMPETENCY 3Integrate credible and relevant sources into coursew
COMPETENCY 3Integrate credible and relevant sources into coursewCOMPETENCY 3Integrate credible and relevant sources into coursew
COMPETENCY 3Integrate credible and relevant sources into coursew
 
Introns: structure and functions
Introns: structure and functionsIntrons: structure and functions
Introns: structure and functions
 

Mehr von Y-h Taguchi

Tensor decomposition based and principal component analysis based unsupervise...
Tensor decomposition based and principal component analysis based unsupervise...Tensor decomposition based and principal component analysis based unsupervise...
Tensor decomposition based and principal component analysis based unsupervise...Y-h Taguchi
 
主成分分析を用いた教師なし学習による筋萎縮性側索硬化症とがんの遺伝的関連性の解明
主成分分析を用いた教師なし学習による筋萎縮性側索硬化症とがんの遺伝的関連性の解明主成分分析を用いた教師なし学習による筋萎縮性側索硬化症とがんの遺伝的関連性の解明
主成分分析を用いた教師なし学習による筋萎縮性側索硬化症とがんの遺伝的関連性の解明Y-h Taguchi
 
Tensor decomposition­based unsupervised feature extraction identified the un...
Tensor decomposition­based unsupervised  feature extraction identified the un...Tensor decomposition­based unsupervised  feature extraction identified the un...
Tensor decomposition­based unsupervised feature extraction identified the un...Y-h Taguchi
 
Tensor decomposition ­based unsupervised feature extraction applied to matrix...
Tensor decomposition ­based unsupervised feature extraction applied to matrix...Tensor decomposition ­based unsupervised feature extraction applied to matrix...
Tensor decomposition ­based unsupervised feature extraction applied to matrix...Y-h Taguchi
 
遺伝子発現プロファイルからの 薬剤標的タンパクの統計的推定法の開発
遺伝子発現プロファイルからの 薬剤標的タンパクの統計的推定法の開発遺伝子発現プロファイルからの 薬剤標的タンパクの統計的推定法の開発
遺伝子発現プロファイルからの 薬剤標的タンパクの統計的推定法の開発Y-h Taguchi
 
Identification of Candidate Drugs for Heart Failure using Tensor Decompositio...
Identification of Candidate Drugs for Heart Failure using Tensor Decompositio...Identification of Candidate Drugs for Heart Failure using Tensor Decompositio...
Identification of Candidate Drugs for Heart Failure using Tensor Decompositio...Y-h Taguchi
 
Rectified factor networks for biclustering of omics data
Rectified factor networks for biclustering of omics dataRectified factor networks for biclustering of omics data
Rectified factor networks for biclustering of omics dataY-h Taguchi
 
テンソル分解を用いた教師なし学習による変数選択
テンソル分解を用いた教師なし学習による変数選択テンソル分解を用いた教師なし学習による変数選択
テンソル分解を用いた教師なし学習による変数選択Y-h Taguchi
 
主成分分析を用いた教師なし学習による変数選択を用いたヒストン脱アセチル化酵素阻害剤の機能探索
主成分分析を用いた教師なし学習による変数選択を用いたヒストン脱アセチル化酵素阻害剤の機能探索主成分分析を用いた教師なし学習による変数選択を用いたヒストン脱アセチル化酵素阻害剤の機能探索
主成分分析を用いた教師なし学習による変数選択を用いたヒストン脱アセチル化酵素阻害剤の機能探索Y-h Taguchi
 
『主成分分析を用いた教師なし学習による変数選択』 を用いたデング出血熱原因遺伝子の推定
『主成分分析を用いた教師なし学習による変数選択』 を用いたデング出血熱原因遺伝子の推定『主成分分析を用いた教師なし学習による変数選択』 を用いたデング出血熱原因遺伝子の推定
『主成分分析を用いた教師なし学習による変数選択』 を用いたデング出血熱原因遺伝子の推定Y-h Taguchi
 
miRNA-mRNA相互作用同定を用いた 腎芽腫関連遺伝子の推定
miRNA-mRNA相互作用同定を用いた 腎芽腫関連遺伝子の推定miRNA-mRNA相互作用同定を用いた 腎芽腫関連遺伝子の推定
miRNA-mRNA相互作用同定を用いた 腎芽腫関連遺伝子の推定Y-h Taguchi
 
Principal component analysis based unsupervised feature extraction applied to...
Principal component analysis based unsupervised feature extraction applied to...Principal component analysis based unsupervised feature extraction applied to...
Principal component analysis based unsupervised feature extraction applied to...Y-h Taguchi
 
microRNA-mRNA interaction identification in Wilms tumor using principal compo...
microRNA-mRNA interaction identification in Wilms tumor using principal compo...microRNA-mRNA interaction identification in Wilms tumor using principal compo...
microRNA-mRNA interaction identification in Wilms tumor using principal compo...Y-h Taguchi
 
Comprehensive analysis of transcriptome andmetabolome analysis in Intrahepati...
Comprehensive analysis of transcriptome andmetabolome analysis in Intrahepati...Comprehensive analysis of transcriptome andmetabolome analysis in Intrahepati...
Comprehensive analysis of transcriptome andmetabolome analysis in Intrahepati...Y-h Taguchi
 
主成分分析を用いた教師なし学習による出芽酵母 の時間周期遺伝子発現プロファイルの解析
主成分分析を用いた教師なし学習による出芽酵母 の時間周期遺伝子発現プロファイルの解析主成分分析を用いた教師なし学習による出芽酵母 の時間周期遺伝子発現プロファイルの解析
主成分分析を用いた教師なし学習による出芽酵母 の時間周期遺伝子発現プロファイルの解析Y-h Taguchi
 
PCAを用いた2群の有意差検定
PCAを用いた2群の有意差検定PCAを用いた2群の有意差検定
PCAを用いた2群の有意差検定Y-h Taguchi
 
SFRP1 is a possible candidate for epigenetic therapy in non­small cell lung ...
SFRP1 is a possible candidate for epigenetic  therapy in non­small cell lung ...SFRP1 is a possible candidate for epigenetic  therapy in non­small cell lung ...
SFRP1 is a possible candidate for epigenetic therapy in non­small cell lung ...Y-h Taguchi
 
A cross-species bi-clustering approach to identifying conserved co-regulated ...
A cross-species bi-clustering approach to identifying conserved co-regulated ...A cross-species bi-clustering approach to identifying conserved co-regulated ...
A cross-species bi-clustering approach to identifying conserved co-regulated ...Y-h Taguchi
 
主成分分析を用いた教師なし学習による変数選択法を用いたがんにおけるmRNA-miRNA相互作用のより信頼性のある同定
主成分分析を用いた教師なし学習による変数選択法を用いたがんにおけるmRNA-miRNA相互作用のより信頼性のある同定主成分分析を用いた教師なし学習による変数選択法を用いたがんにおけるmRNA-miRNA相互作用のより信頼性のある同定
主成分分析を用いた教師なし学習による変数選択法を用いたがんにおけるmRNA-miRNA相互作用のより信頼性のある同定Y-h Taguchi
 
Identification of aberrant gene expression associated with aberrant promoter ...
Identification of aberrant gene expression associated with aberrant promoter ...Identification of aberrant gene expression associated with aberrant promoter ...
Identification of aberrant gene expression associated with aberrant promoter ...Y-h Taguchi
 

Mehr von Y-h Taguchi (20)

Tensor decomposition based and principal component analysis based unsupervise...
Tensor decomposition based and principal component analysis based unsupervise...Tensor decomposition based and principal component analysis based unsupervise...
Tensor decomposition based and principal component analysis based unsupervise...
 
主成分分析を用いた教師なし学習による筋萎縮性側索硬化症とがんの遺伝的関連性の解明
主成分分析を用いた教師なし学習による筋萎縮性側索硬化症とがんの遺伝的関連性の解明主成分分析を用いた教師なし学習による筋萎縮性側索硬化症とがんの遺伝的関連性の解明
主成分分析を用いた教師なし学習による筋萎縮性側索硬化症とがんの遺伝的関連性の解明
 
Tensor decomposition­based unsupervised feature extraction identified the un...
Tensor decomposition­based unsupervised  feature extraction identified the un...Tensor decomposition­based unsupervised  feature extraction identified the un...
Tensor decomposition­based unsupervised feature extraction identified the un...
 
Tensor decomposition ­based unsupervised feature extraction applied to matrix...
Tensor decomposition ­based unsupervised feature extraction applied to matrix...Tensor decomposition ­based unsupervised feature extraction applied to matrix...
Tensor decomposition ­based unsupervised feature extraction applied to matrix...
 
遺伝子発現プロファイルからの 薬剤標的タンパクの統計的推定法の開発
遺伝子発現プロファイルからの 薬剤標的タンパクの統計的推定法の開発遺伝子発現プロファイルからの 薬剤標的タンパクの統計的推定法の開発
遺伝子発現プロファイルからの 薬剤標的タンパクの統計的推定法の開発
 
Identification of Candidate Drugs for Heart Failure using Tensor Decompositio...
Identification of Candidate Drugs for Heart Failure using Tensor Decompositio...Identification of Candidate Drugs for Heart Failure using Tensor Decompositio...
Identification of Candidate Drugs for Heart Failure using Tensor Decompositio...
 
Rectified factor networks for biclustering of omics data
Rectified factor networks for biclustering of omics dataRectified factor networks for biclustering of omics data
Rectified factor networks for biclustering of omics data
 
テンソル分解を用いた教師なし学習による変数選択
テンソル分解を用いた教師なし学習による変数選択テンソル分解を用いた教師なし学習による変数選択
テンソル分解を用いた教師なし学習による変数選択
 
主成分分析を用いた教師なし学習による変数選択を用いたヒストン脱アセチル化酵素阻害剤の機能探索
主成分分析を用いた教師なし学習による変数選択を用いたヒストン脱アセチル化酵素阻害剤の機能探索主成分分析を用いた教師なし学習による変数選択を用いたヒストン脱アセチル化酵素阻害剤の機能探索
主成分分析を用いた教師なし学習による変数選択を用いたヒストン脱アセチル化酵素阻害剤の機能探索
 
『主成分分析を用いた教師なし学習による変数選択』 を用いたデング出血熱原因遺伝子の推定
『主成分分析を用いた教師なし学習による変数選択』 を用いたデング出血熱原因遺伝子の推定『主成分分析を用いた教師なし学習による変数選択』 を用いたデング出血熱原因遺伝子の推定
『主成分分析を用いた教師なし学習による変数選択』 を用いたデング出血熱原因遺伝子の推定
 
miRNA-mRNA相互作用同定を用いた 腎芽腫関連遺伝子の推定
miRNA-mRNA相互作用同定を用いた 腎芽腫関連遺伝子の推定miRNA-mRNA相互作用同定を用いた 腎芽腫関連遺伝子の推定
miRNA-mRNA相互作用同定を用いた 腎芽腫関連遺伝子の推定
 
Principal component analysis based unsupervised feature extraction applied to...
Principal component analysis based unsupervised feature extraction applied to...Principal component analysis based unsupervised feature extraction applied to...
Principal component analysis based unsupervised feature extraction applied to...
 
microRNA-mRNA interaction identification in Wilms tumor using principal compo...
microRNA-mRNA interaction identification in Wilms tumor using principal compo...microRNA-mRNA interaction identification in Wilms tumor using principal compo...
microRNA-mRNA interaction identification in Wilms tumor using principal compo...
 
Comprehensive analysis of transcriptome andmetabolome analysis in Intrahepati...
Comprehensive analysis of transcriptome andmetabolome analysis in Intrahepati...Comprehensive analysis of transcriptome andmetabolome analysis in Intrahepati...
Comprehensive analysis of transcriptome andmetabolome analysis in Intrahepati...
 
主成分分析を用いた教師なし学習による出芽酵母 の時間周期遺伝子発現プロファイルの解析
主成分分析を用いた教師なし学習による出芽酵母 の時間周期遺伝子発現プロファイルの解析主成分分析を用いた教師なし学習による出芽酵母 の時間周期遺伝子発現プロファイルの解析
主成分分析を用いた教師なし学習による出芽酵母 の時間周期遺伝子発現プロファイルの解析
 
PCAを用いた2群の有意差検定
PCAを用いた2群の有意差検定PCAを用いた2群の有意差検定
PCAを用いた2群の有意差検定
 
SFRP1 is a possible candidate for epigenetic therapy in non­small cell lung ...
SFRP1 is a possible candidate for epigenetic  therapy in non­small cell lung ...SFRP1 is a possible candidate for epigenetic  therapy in non­small cell lung ...
SFRP1 is a possible candidate for epigenetic therapy in non­small cell lung ...
 
A cross-species bi-clustering approach to identifying conserved co-regulated ...
A cross-species bi-clustering approach to identifying conserved co-regulated ...A cross-species bi-clustering approach to identifying conserved co-regulated ...
A cross-species bi-clustering approach to identifying conserved co-regulated ...
 
主成分分析を用いた教師なし学習による変数選択法を用いたがんにおけるmRNA-miRNA相互作用のより信頼性のある同定
主成分分析を用いた教師なし学習による変数選択法を用いたがんにおけるmRNA-miRNA相互作用のより信頼性のある同定主成分分析を用いた教師なし学習による変数選択法を用いたがんにおけるmRNA-miRNA相互作用のより信頼性のある同定
主成分分析を用いた教師なし学習による変数選択法を用いたがんにおけるmRNA-miRNA相互作用のより信頼性のある同定
 
Identification of aberrant gene expression associated with aberrant promoter ...
Identification of aberrant gene expression associated with aberrant promoter ...Identification of aberrant gene expression associated with aberrant promoter ...
Identification of aberrant gene expression associated with aberrant promoter ...
 

Kürzlich hochgeladen

9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 60009654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000Sapana Sha
 
GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)Areesha Ahmad
 
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Sérgio Sacani
 
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisRaman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisDiwakar Mishra
 
Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksSérgio Sacani
 
Chemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfChemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfSumit Kumar yadav
 
Zoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfZoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfSumit Kumar yadav
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptxanandsmhk
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...RohitNehra6
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)Areesha Ahmad
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxkessiyaTpeter
 
Botany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questionsBotany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questionsSumit Kumar yadav
 
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPirithiRaju
 
Biological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfBiological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfmuntazimhurra
 
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...ssifa0344
 
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Lokesh Kothari
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTSérgio Sacani
 
Isotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoIsotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoSérgio Sacani
 
STERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCE
STERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCESTERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCE
STERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCEPRINCE C P
 

Kürzlich hochgeladen (20)

9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 60009654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
9654467111 Call Girls In Raj Nagar Delhi Short 1500 Night 6000
 
CELL -Structural and Functional unit of life.pdf
CELL -Structural and Functional unit of life.pdfCELL -Structural and Functional unit of life.pdf
CELL -Structural and Functional unit of life.pdf
 
GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)GBSN - Microbiology (Unit 1)
GBSN - Microbiology (Unit 1)
 
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
Discovery of an Accretion Streamer and a Slow Wide-angle Outflow around FUOri...
 
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral AnalysisRaman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
Raman spectroscopy.pptx M Pharm, M Sc, Advanced Spectral Analysis
 
Formation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disksFormation of low mass protostars and their circumstellar disks
Formation of low mass protostars and their circumstellar disks
 
Chemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdfChemistry 4th semester series (krishna).pdf
Chemistry 4th semester series (krishna).pdf
 
Zoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdfZoology 4th semester series (krishna).pdf
Zoology 4th semester series (krishna).pdf
 
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptxUnlocking  the Potential: Deep dive into ocean of Ceramic Magnets.pptx
Unlocking the Potential: Deep dive into ocean of Ceramic Magnets.pptx
 
Biopesticide (2).pptx .This slides helps to know the different types of biop...
Biopesticide (2).pptx  .This slides helps to know the different types of biop...Biopesticide (2).pptx  .This slides helps to know the different types of biop...
Biopesticide (2).pptx .This slides helps to know the different types of biop...
 
GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)GBSN - Microbiology (Unit 2)
GBSN - Microbiology (Unit 2)
 
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptxSOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
SOLUBLE PATTERN RECOGNITION RECEPTORS.pptx
 
Botany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questionsBotany krishna series 2nd semester Only Mcq type questions
Botany krishna series 2nd semester Only Mcq type questions
 
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdfPests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
Pests of cotton_Borer_Pests_Binomics_Dr.UPR.pdf
 
Biological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdfBiological Classification BioHack (3).pdf
Biological Classification BioHack (3).pdf
 
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
TEST BANK For Radiologic Science for Technologists, 12th Edition by Stewart C...
 
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
Labelling Requirements and Label Claims for Dietary Supplements and Recommend...
 
Disentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOSTDisentangling the origin of chemical differences using GHOST
Disentangling the origin of chemical differences using GHOST
 
Isotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on IoIsotopic evidence of long-lived volcanism on Io
Isotopic evidence of long-lived volcanism on Io
 
STERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCE
STERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCESTERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCE
STERILITY TESTING OF PHARMACEUTICALS ppt by DR.C.P.PRINCE
 

Apparent microRNA-target-specific histone modification in mammalian spermatogenesis

  • 1. t Apparent microRNA-taarrggeett--ssppeecciiffiicc hhiissttoonnee mmooddiiffiiccaattiioonn iinn mmaammmmaalliiaann ssppeerrmmaattooggeenneessiiss YY--hh.. TTaagguucchhii DDeepptt.. PPhhyyss.. CChhuuoo UUnniivv..
  • 2. IInnttrroodduuccttiioonn EEppiiggeenneettiicc rreegguullaattiioonn ooff ggeennee eexxpprreessssiioonn iiss kknnoowwnn ttoo bbee iimmppoorrttaanntt nnoowwaaddaayyss.. ee..gg.. -- DDeevveellooppmmeenntt aanndd CCeelllluullaarr DDiiffffeerreennttiiaattiioonn -- DDiisseeaasseess iinncclluuddiinngg CCaanncceerr -- AAggiinngg
  • 3. EExxaammppllee ooff EEppiiggeenneettiicc rreegguullaattiioonn ooff ggeenneess -- TTrraannssccrriippttiioonn FFaaccttoorr BBiinnddiinnggss ttoo pprroommootteerr rreeggiioonn -- HHiissttoonn mmooddiiffiiccaattiioonn -- PPrroommootteerr MMeetthhyyllaattiioonn -- mmiiRRNNAA rreegguullaattiioonn ooff ttaarrggeett ggeenneess.. eettcc.. eettcc.. IInntteerraaccttiioonn RRaarreellyy DDiissccuusssseedd BBootthh ggeennee rreegguullaattiioonn
  • 4. cell nucleus miRNA Gene 3'UTR cytoplasm histone modification histone modification ↔ cell nucleus miRNA ↔ cytoplasm
  • 5. PPrreevviioouuss RReesseeaarrcchh SSuu eett aall ((22001111,, BBMMCC GGeennoommiiccss)) ““mmiiRRNNAAss tteennddeedd ttoo ttaarrggeett tthhee ggeenneess wwiitthh aa llooww DDNNAA mmeetthhyyllaattiioonn lleevveell iinn tthheeiirr pprroommootteerr rreeggiioonnss”” PPrroommootteerr mmeetthhyyllaattiioonn ↔↔ mmiiRRNNAA ttaarrggeettiinngg PPuurrppoossee ooff mmyy ssttuuddyy:: HHiissttoonnee mmooddiiffiiccaattiioonn iiss mmiiRRNNAA--ttaarrggeettiinngg--ssppeecciiffiicc oorr nnoott?? ((IInn ootthheerr wwoorrddss,, hhiissttoonnee mmooddiiffiiccaattiioonn iiss aaffffeecctteedd bbyy bbeeiinngg ttaarrggeetteedd bbyy iinnddiivviidduuaall mmiiRRNNAA oorr nnoott??))
  • 6. MiRaGE Method MiRaGE : MiRNA Ranking by Gene Expression Histone modification significantly up/downregulated? (t test, Wilcoxon test, KS test) miRNA target gene target gene VS considered miRNA gene modified histone?
  • 7. My Previous Results “Substantial number of miRNAs have target genes with significantly hyper/hypomethylated promoters” References: - Y-h. Taguchi (2012) IPSJ SIG Tech. Rep. 2012-BIO-31(1) pp.1-6 - Y-h. Taguchi, (2013) F1000Research [v1; ref status: approved 1, not approved 2, http://f1000r.es/wv]
  • 8. This Study Comparison between miRNA and histone modification during spermatogenesis in miRNA-centric manner. NGS: Spermatogonia(SG)→Spermatocytes(SC)→ Spermatids(ST) vs Controls H3K4me1, H3K27me3, H3K4me3, H3K27ac, H2AZ
  • 9. Calculation - Many miRNAs with significant (*) histone modification among multiple miRNAs for all SC, ST, SG vs Controls (*) BH adjusted P <0.05 SG SC SG ST ST SC
  • 10. less modificated more modificated Differenciation
  • 11. Clustering using negative signed correlation Cluste coefficient of PP--vvaalluueess Biologically feasible
  • 12. Clustering using negative signed correlation coefficient of llooggaarriitthhmmiicc rraattiioo Less biologically feasible
  • 13. P-values computed by MiRaGE are more biologically feasible than raw values (logarithmic ratio)
  • 14. Selected miRNAs are biologically rreeaassoonnaabbllee less modificated hsa- more modificated hsa- Stemness Mouse ES cell specific ↑during differentiation hsa- Critical roles in spermatogenesis Sperm abnormaly hsa- Expressed in abnormal semen
  • 15. Is it artifact ? → No, since essentially nnoo mmiiRRNNAAss wwiitthh ssiiggnniiffiiccaanntt hhiissttoonnee mmooddiiffiiccaattiioonn aafftteerr ggeennee sshhuufffflliinngg less modificated more modificated
  • 16. Samples → Test 2 mRNA(gene) → Simultaneous shuffling with keeping correlation coefficients of logarithmic ratio
  • 17. Clustering using negative signed correlation coefficient of PP--vvaalluueess after simultaneous shuffling More similar to cluster obtained by raw values (logarithmic ratio)
  • 18. Thus, converting logarithmic ratio to P-values by MiRaGE enphances biological feasibility
  • 19. Human sperm exhibits similar miRNA specific histone modification less modificated more modificated
  • 20. Too simple model? → comparison wwiitthh llaassssoo Predicted activity of k th miRNA differential expression of i th mRNA and j th histone modification 11 if k th miRNA targets ith mRNA 00 otherwise
  • 22. MiRaGE is well coincident with lasso. Thus, biological feasibilities obtained by miRNA specific histone modification will not be likely fake.
  • 23. CCoonncclluussiioonnss ・P-values computed by MiRaGE are highly tissue/histone modification specific. ・ Most significant miRNAs are stem cell or sperm specific. Thus, biologically feasible. ・Since gene order shuffling destroys miRNA specific significant histone modification, it is not an artifact. ・Since it is coincident with lasso, biological feasibility is not due to too simple algorithm ・Biological mechanism that causes miRNA specific histone modification should be cleared.