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Inference of target gene regulation via
miRNAs during cell senescence by MiRaGE
                  Server

             Y-h. Taguchi
         Department of Physics
           Chuo University
1. What is cell senescence?

2. What is miRNA?

3. Previous works (wet)

4. MiRaGE Method

5. Correlation between target gene regulation
by miRNA and miRNA expression change
during cell senescence

6. Summary & Conclusion
1. What is cell senescence?
The cell division cannot continue forever
for incubated cell lines. It must stop after
several rounds of proliferation.

                    ⇓
This is called “cell senescence”, which is
believed to be related to aging.
                          aging
Thus, cell senescence is caused by the
interruption of cell divisions, typically
by cell cycle arrests.
2. What is miRNA?

miRNA is a kind of non-coding RNA.
miRNAs are believed to suppress target gene
expression by degradation of mRNAs.
Important features:
・ Typically, there are hundreds kinds of miRNAs found
for     each species (c.a., ≧1000 for human).
・ Each miRNA targets more than hundreds of genes.
・ miRNA mainly contributes to cell type change
 (e.g., cancer, defferentiation, diseases)
・Infulence to target gene expression by miRNA is subtle
   (〜10%) and contexts dependent.
・In spite of that,
 miRNA critically contributes to the related processes
 (e.g., induction of cell cycle arrest)
3. Previous works (wet)

Several researches suggest the contribution of miRNAs
to cell senescence.

Upregulation of miRNAs during cell senescence
miR-34a,miR-486-5p,miR-494,miR-210...

Downregulation of miRNAs during cell senescence
miR-15a/b,miR-20a,miR-92,miR-16b....

Induction of cell senescence by suppression of
miRNA downregulated during cell senescence.
It is likely true that miRNAs contribute to cell senescence.

However, which one?

Dhahbi et al (2011) recently reported the upregulaton of
141(!) miRNAs and the downregulation of 131(!!)
miRNAs during cell senescence by deep sequencing.

The reason why limited number of miRNAs revealed
significant expression change during cell senescence
seems to be due to less sensitivity of microarray analysis.
Is it truly critical the down/upregulation of such large
number of miRNAs for cell senescence?
4. MiRaGE Method

  In order to select “Critical ” miRNAs during
  cell senescence, regulation of target genes
  by miRNAs is inferred by MiRaGE Server.
For details, see

Y-h. Taguchi and J. Yasuda (2010) Inference of Gene
Expression Regulation via microRNA Transfection,
ICIC2010

Y-h. Taguchi and J. Yasuda (2012) MiRaGE: Inference of
Gene Expression Regulation via MicroRNA Transfection II
ICIC2011
MiRaGE :
MiRNA Ranking by Gene Expression

               considered
               miRNA
                                    target
 miRNA                               gene

                                      VS


   target
   gene                          significantly
                              up/downregulated?
                 gene       (t test, Wilcoxon test, KS
                                       test)
5. Correlation between target gene regulation
by miRNA and miRNA expression change
during cell senescence
 A) Confirmation of independence of cell line
 Two Cell Lines:
 IMR90 : young (PD 30) vs senescent (PD 48)
                 vs
 MRC5 : young (PDL 28) vs senescent (PDL 63)

            mRNA expression change
             (during cell senescence)

                MiRaGE ⇓ Server

        P-values attributed to each miRNA
Intersection between N top-ranked significant miRNAs
   based upon P-values (t test) IMR90 vs MRC5
                                                                     100%
  down                        10




                                                                            % of com m on m iRNAs
regulation
             binomial: -log
                                                            random
                              P=0.05                                 30%
                              0
                                N 500      1500 N 500      1500
                              10
             P10




                                                                     100%
                              4                             random
    up                                                               20%
regulation           P=0.05
                                   Thus, the results are cell line
                                   independent (possibly robust)
B) Confirm ation of reciprocal relationship between m iRNA
expression change and P­value (upregulation of target genes)
   IMR90,NGS




                                                                 Correlation Coefficient
   # of m iRNAs


                  700                                     0.35


                  100                                     0.05
                        quality score     quality score
           -log




                   2                      m iRDeep2:
                         P=0.05           genom e alignm ent
            10




                   1      01  10 2 10 4   program for m iRNA-seq
           P




                                            Threshold
                        quality score       Value
                        (m iRDeep2)
Candidates of m iRNAs downregulaed
          (target genes are upreglated)




NMRC : Norm alied m iRNA Read Counts P<0.05 RFC>1.0
SCORE : m iRDeeps score
P-value : upregulation of target genes
RFC : Reciprocal Fold Change : young/senescent
Candidates of miRNAs upregulaed
         (target genes are downreglated)




NMRC : Normalied miRNA Read Counts      P<0.05 FC>1.0
SCORE : miRDeeps score
P-value : downregulation of target genes
FC : Fold Change : senescent/young
Candidates of miRNAs upregulaed
   (target genes are downreglated) continued




NMRC : Normalied miRNA Read             P<0.05 FC>1.0
Counts
SCORE : miRDeeps score
P-value : downregulation of targe genes
6. Summary & Conclusion

1. Selection of miRNAs commonly
   up/downregulated during cell senescence

2. Reciprocal relationship between target gene
 regulation and miRNA expression change

3. Reduction of number of critical candidate
   miRNAs during cell senescence
   (down: 131 ⇒10, up: 141 ⇒ 32)
Full paper published in
Aging and Disease, (2012) No.4 in press
(Epub 7 Jun 2012, online)

MiRaGE Package will be included in
Bioconductior 2.11
(planed to be released in this Autumn)

MiRaGE Server
http://www.granular.com/MiRaGE/

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Inference of target gene regulation via miRNAs during cell senescence by MiRaGE Server

  • 1. Inference of target gene regulation via miRNAs during cell senescence by MiRaGE Server Y-h. Taguchi Department of Physics Chuo University
  • 2. 1. What is cell senescence? 2. What is miRNA? 3. Previous works (wet) 4. MiRaGE Method 5. Correlation between target gene regulation by miRNA and miRNA expression change during cell senescence 6. Summary & Conclusion
  • 3. 1. What is cell senescence? The cell division cannot continue forever for incubated cell lines. It must stop after several rounds of proliferation. ⇓ This is called “cell senescence”, which is believed to be related to aging. aging Thus, cell senescence is caused by the interruption of cell divisions, typically by cell cycle arrests.
  • 4. 2. What is miRNA? miRNA is a kind of non-coding RNA. miRNAs are believed to suppress target gene expression by degradation of mRNAs. Important features: ・ Typically, there are hundreds kinds of miRNAs found for each species (c.a., ≧1000 for human). ・ Each miRNA targets more than hundreds of genes. ・ miRNA mainly contributes to cell type change (e.g., cancer, defferentiation, diseases) ・Infulence to target gene expression by miRNA is subtle (〜10%) and contexts dependent. ・In spite of that, miRNA critically contributes to the related processes (e.g., induction of cell cycle arrest)
  • 5. 3. Previous works (wet) Several researches suggest the contribution of miRNAs to cell senescence. Upregulation of miRNAs during cell senescence miR-34a,miR-486-5p,miR-494,miR-210... Downregulation of miRNAs during cell senescence miR-15a/b,miR-20a,miR-92,miR-16b.... Induction of cell senescence by suppression of miRNA downregulated during cell senescence.
  • 6. It is likely true that miRNAs contribute to cell senescence. However, which one? Dhahbi et al (2011) recently reported the upregulaton of 141(!) miRNAs and the downregulation of 131(!!) miRNAs during cell senescence by deep sequencing. The reason why limited number of miRNAs revealed significant expression change during cell senescence seems to be due to less sensitivity of microarray analysis. Is it truly critical the down/upregulation of such large number of miRNAs for cell senescence?
  • 7. 4. MiRaGE Method In order to select “Critical ” miRNAs during cell senescence, regulation of target genes by miRNAs is inferred by MiRaGE Server. For details, see Y-h. Taguchi and J. Yasuda (2010) Inference of Gene Expression Regulation via microRNA Transfection, ICIC2010 Y-h. Taguchi and J. Yasuda (2012) MiRaGE: Inference of Gene Expression Regulation via MicroRNA Transfection II ICIC2011
  • 8. MiRaGE : MiRNA Ranking by Gene Expression considered miRNA target miRNA gene VS target gene significantly up/downregulated? gene (t test, Wilcoxon test, KS test)
  • 9. 5. Correlation between target gene regulation by miRNA and miRNA expression change during cell senescence A) Confirmation of independence of cell line Two Cell Lines: IMR90 : young (PD 30) vs senescent (PD 48) vs MRC5 : young (PDL 28) vs senescent (PDL 63) mRNA expression change (during cell senescence) MiRaGE ⇓ Server P-values attributed to each miRNA
  • 10. Intersection between N top-ranked significant miRNAs based upon P-values (t test) IMR90 vs MRC5 100% down 10 % of com m on m iRNAs regulation binomial: -log random P=0.05 30% 0 N 500 1500 N 500 1500 10 P10 100% 4 random up 20% regulation P=0.05 Thus, the results are cell line independent (possibly robust)
  • 11. B) Confirm ation of reciprocal relationship between m iRNA expression change and P­value (upregulation of target genes) IMR90,NGS Correlation Coefficient # of m iRNAs 700 0.35 100 0.05 quality score quality score -log 2 m iRDeep2: P=0.05 genom e alignm ent 10 1 01 10 2 10 4 program for m iRNA-seq P Threshold quality score Value (m iRDeep2)
  • 12. Candidates of m iRNAs downregulaed (target genes are upreglated) NMRC : Norm alied m iRNA Read Counts P<0.05 RFC>1.0 SCORE : m iRDeeps score P-value : upregulation of target genes RFC : Reciprocal Fold Change : young/senescent
  • 13. Candidates of miRNAs upregulaed (target genes are downreglated) NMRC : Normalied miRNA Read Counts P<0.05 FC>1.0 SCORE : miRDeeps score P-value : downregulation of target genes FC : Fold Change : senescent/young
  • 14. Candidates of miRNAs upregulaed (target genes are downreglated) continued NMRC : Normalied miRNA Read P<0.05 FC>1.0 Counts SCORE : miRDeeps score P-value : downregulation of targe genes
  • 15. 6. Summary & Conclusion 1. Selection of miRNAs commonly up/downregulated during cell senescence 2. Reciprocal relationship between target gene regulation and miRNA expression change 3. Reduction of number of critical candidate miRNAs during cell senescence (down: 131 ⇒10, up: 141 ⇒ 32)
  • 16. Full paper published in Aging and Disease, (2012) No.4 in press (Epub 7 Jun 2012, online) MiRaGE Package will be included in Bioconductior 2.11 (planed to be released in this Autumn) MiRaGE Server http://www.granular.com/MiRaGE/