supplementary materials for - science signaling · 2013. 2. 22. · fig. s2. differential...

13
www.sciencesignaling.org/cgi/content/full/6/264/rs4/DC1 Supplementary Materials for A Systems Approach for Decoding Mitochondrial Retrograde Signaling Pathways Sehyun Chae, Byung Yong Ahn, Kyunghee Byun, Young Min Cho, Myeong-Hee Yu, Bonghee Lee,* Daehee Hwang,* Kyong Soo Park* *To whom correspondence should be addressed. E-mail: [email protected] (D.H.); [email protected] (K.S.P.); [email protected] (B.L.) Published 26 February 2013, Sci. Signal. 6, rs4 (2013) DOI: 10.1126/scisignal.2003266 This PDF file includes: Fig. S1. Association of DEGs with cellular processes and genes that have been previously reported to be affected by the mt3243 mutation. Fig. S2. Differential expression of TFs known to participate in mitochondrial retrograde signaling. Fig. S3. Knockdown of RXRA using siRNA. Fig. S4. Regulation of mRNA and protein abundances of RXRA through JNK activated by ROS. Table S1. Mitochondria-to-nucleus retrograde signaling mediators, signaling pathways, and their downstream TFs. Table S2. Organizing the 2404 DEGs into clusters and their differential expression patterns among the three types of cells. Table S5. TF-target interactions collected from the six databases. Table S11. Primary antibodies used for Western blotting analysis and immunofluorescence analysis. Table S12. Primer sequences used in qRT-PCR analysis. Tables S3, S4, S6 to S10 legends Other Supplementary Material for this manuscript includes the following: (available at www.sciencesignaling.org/cgi/content/full/6/264/rs4/DC1) Table S3 (Microsoft Excel format). The lists of the genes included in the individual clusters. Table S4 (Microsoft Excel format). GO Biological Processes enriched in the DEGs in the individual clusters.

Upload: others

Post on 10-Feb-2021

1 views

Category:

Documents


0 download

TRANSCRIPT

  • www.sciencesignaling.org/cgi/content/full/6/264/rs4/DC1

    Supplementary Materials for

    A Systems Approach for Decoding Mitochondrial Retrograde Signaling Pathways

    Sehyun Chae, Byung Yong Ahn, Kyunghee Byun, Young Min Cho, Myeong-Hee Yu,

    Bonghee Lee,* Daehee Hwang,* Kyong Soo Park*

    *To whom correspondence should be addressed. E-mail: [email protected] (D.H.); [email protected] (K.S.P.); [email protected] (B.L.)

    Published 26 February 2013, Sci. Signal. 6, rs4 (2013)

    DOI: 10.1126/scisignal.2003266 This PDF file includes:

    Fig. S1. Association of DEGs with cellular processes and genes that have been previously reported to be affected by the mt3243 mutation. Fig. S2. Differential expression of TFs known to participate in mitochondrial retrograde signaling. Fig. S3. Knockdown of RXRA using siRNA. Fig. S4. Regulation of mRNA and protein abundances of RXRA through JNK activated by ROS. Table S1. Mitochondria-to-nucleus retrograde signaling mediators, signaling pathways, and their downstream TFs. Table S2. Organizing the 2404 DEGs into clusters and their differential expression patterns among the three types of cells. Table S5. TF-target interactions collected from the six databases. Table S11. Primary antibodies used for Western blotting analysis and immunofluorescence analysis. Table S12. Primer sequences used in qRT-PCR analysis. Tables S3, S4, S6 to S10 legends

    Other Supplementary Material for this manuscript includes the following: (available at www.sciencesignaling.org/cgi/content/full/6/264/rs4/DC1)

    Table S3 (Microsoft Excel format). The lists of the genes included in the individual clusters. Table S4 (Microsoft Excel format). GO Biological Processes enriched in the DEGs in the individual clusters.

  • Table S6 (Microsoft Excel format). Seventy-two TFs that could potentially be involved in retrograde signaling induced by the mt3243 mutation. Table S7 (Microsoft Excel format). The OXPHOS genes differentially expressed in cells containing the mt3243 mutation. Table S8 (Microsoft Excel format). One hundred sixty-three DEGs that showed an increase in mRNA abundances in 3243G M cells by the RA treatment. Table S9 (Microsoft Excel format). The translation-related genes differentially expressed in cells containing the mt3243 mutation. Table S10 (Microsoft Excel format). One hundred eighty TFs that showed altered mRNA abundance in cells containing the mt3243 mutation.

  • Fig. S1. Association of DEGs with cellular processes and genes that have been previously reported to be affected by the mt3243 mutation. (A) The top illustrates how the mt3243 mutation causes mitochondrial dysfunction. The oxidative phosphorylation complexes are indicated as CI, CII, CIII , CIV, and CV. The number of DEGs involved in each cellular process is denoted in parenthesis. (B) The table shows the shared 19 genes and the cluster to which they belong between the 2404 DEGs in our study and the 56 genes previously reported by Crimi et al. (8) as affected by the mt3243 mutation.

  • Fig. S2. Differential expression of TFs known to participate in mitochondrial retrograde signaling. Gene expression profiling revealed that mRNA abundances of seven TFs previously associated with mitochondrial retrograde signaling were altered by the mt3243 mutation. Transcript abundance obtained from microarrays was normalized using quantile normalization method. The normalized data are shown as mean values ± SD; n = 3, independent microarray experiments. For each gene, all the significant differences (FDR1.46; Materials and Methods) from the three comparisons (H versus W, M versus W, and M versus H) were indicated by the asterisk.

  • Fig. S3. Knockdown of RXRA using siRNA. The decrease of mRNA abundance of RXRA in siRNA-treated indicates that the knockdown was effective. n = 5, independent experiments. Transcript abundance was normalized to that of GAPDH. Quantified data are shown as mean ± SD .

  • Fig. S4. Regulation of mRNA and protein abundances of RXRA through JNK activated by ROS. (A) Western blotting analyses of RXRA in three types of cells in the presence or absence of 5 mM ascorbic acid (Asc) for 1 h; data shown are representative of three independent experiments shown in Fig. 5B. (B) Western blotting analyses of RXRA in three types of cells in the presence or absence of 10 µM SP600125 for 1 h; data shown are representative of 3 independent experiments shown in Fig. 5C. (C) qRT-PCR (top) and Western blotting analyses (bottom) of RXRA abundance in W cells in the presence or absence of ROS (H2O2; 100 µM for 20 min) with or without the JNK inhibitor (SP600125; 10 µM for 1 h). The mRNA data are shown as mean values ± SD; n = 5, independent experiments. ∗ P

  • Table S1. Mitochondria-to-nucleus retrograde signaling mediators, signaling pathways, and their downstream TFs.

    Signaling mediators

    Signaling molecules / pathways

    Downstream TFs

    Effect on the downstream TFs Reference

    [Ca2+]c calcinuerin NFATc Dephosphorylated (activating their nuclear translocation), increased protein abundance

    (40)

    [Ca2+]c Calcinuerin RelA Reduced protein abundance (40)

    [Ca2+]c Calcinuerin NFkB Increased protein abundance,

    Increased protein activity (through inactivation of IkBß)

    (41)

    [Ca2+]c CaMKIV CREB Increased phosphorylation (42) [Ca2+]c CaMKIV p53 Increased protein activity (42)

    [Ca2+]c ERK1, ERK2

    EGR1 Increased mRNA abundance (43)

    [Ca2+]c JNK ATF2 Increased phosphorylation

    increased protein abundance (40)

    [Ca2+]c JNK and MAPK

    CEBP Increased protein activity (6, 40, 44)

    [Ca2+]c JNK and MAPK

    CHOP Increased protein activity (4, 6, 44)

    [Ca2+]c CaMK MEF2, TORCs

    Increased protein activity (3, 45)

    [Ca2+]c CaMKIV PGC1A Increased mRNA abundance (46)

    ROS ERK and

    JNK EGR1

    Increased mRNA expression and protein abundance

    (47)

    ROS MAPK AP1 Increased mRNA abundance, Increased phosphorylation

    (48, 49, 50)

    ROS - c-MYC Increased mRNA abundance (50) ROS PKD NF-kB Increased protein activity (51)

    ROS ERK and

    p38 p53

    Increased protein activity (increased phosphorylation)

    (52)

    ROS JNK FOXO Increased protein activity

    (increased phosphorylation), Increased mRNA abundance

    (53, 54, 55, 56)

    ROS Src HIF1A Increased mRNA abundance (57)

    ROS PI3K and

    AKT HIF1A

    Increased mRNA expression and protein abundance

    (58)

    ROS PI3K and

    AKT NRF1, NRF2

    Increased mRNA abundance, Increased protein activity

    (increased phosphorylation) (1, 59, 60, 61)

    AMP AMPK PPARA, PGC1A

    Increased mRNA abundance (62)

    AMP AMPK PGC1A Increased protein activity

    (increased phosphorylation) (63)

    AMP AMPK FOXO3A Increased protein activity

    (increased phosphorylation) (64)

    AMP AMPK p53 Increased protein activity (53)

    AMP AMPK mTOR Decreased protein activity

    (increased phosphorylation of TSC2 and raptor)

    (65, 66, 67)

  • Table S2. Organizing the 2404 DEGs into clusters and their differential expression patterns among the three types of cells. The clusters in bold are the 12 clusters that selected for detailed analyses. The comparisons are indicated as red, increased abundance and blue, decreased abundance such that, for example, H/W red means that the abundance was increased in the H cells relative to abundance in the W cells. See table S3 for the identity of the genes in each cluster.

    Cluster H/W M/W M/H Number of Genes

    1 3

    2 90 3 1 4 0

    5 69 6 59 7 0 8 0 9 8

    10 196 11 378 12 0

    13 180 14 244 15 0

    16 302 17 564 18 7 19 0 20 0

    21 69 22 96 23 0 24 10

    25 119 26 9

    Total 2404

  • Table S5. TF-target interactions collected from the six databases. A total of 223,665

    interactions were identified and used for enrichment of the genes to TFs.

    TRED BIND AMADEUS EEDB MSigDB MetaCore™

    Number of interactions

    7558 9880 12851 41981 154171 13011

    Number of TFs

    111 171 26 179 286 684

    Reference (68) (69) (70) (71) (72) GeneGo, St. Joseph, MI,

    USA

    Web site

    http://rulai.cshl.edu/cgi-

    bin/TRED/tred.cgi?process

    =home

    http://bind.ca http://acgt.cs.tau.ac.il/a

    madeus/

    http://fantom.gsc.riken.

    jp/4/

    http://www.broadinstitute.org/gsea/msigdb/index.jsp

    http://www.genego.com/metacore.php

  • Table S11. Primary antibodies used for Western blotting analysis and

    immunofluorescence analysis.

    Antibody target Isotype Company Catalog number Dillution

    concentration

    NDUFB8 Mouse IgG MitoSciences #MS105 1:1,000

    SDHB Mouse IgG MitoSciences #MS203 1:1,000

    UQCR2 Mouse IgG MitoSciences #MS304 1:1,000

    COX5B Mouse IgG MitoSciences #MS410 1:1,000

    ATP5A1 Mouse IgG MitoSciences #MS507 1:1,000

    RXRA Mouse IgG Santa Cruz SC-46659 1:2,000

    RXRA Rabbit IgG Santa Cruz SC-553 1:2,000

    PGC1α Mouse IgG Santa Cruz SC-13067 1:2,000

    p-c-jun Rabbit IgG Cell Signaling #9261 1:1,000

    β-actin Mouse IgG Sigma-Aldrich A5316 1:5,000

  • Table S12. Primer sequences used in qRT-PCR analysis. Sequences are listed 5’ to 3’.

    Gene Primer sequence

    NDUFA1 Forward TGGGCGTGTGCTTGTTGAT

    Reverse CCCGTTAGTGAACCTGTGGATGT

    NDUFA3 Forward CAAGGCCACGCCCTACAAC

    Reverse TCGGGCATGTTCCCATCAT

    NDUFA4 Forward ATGCTCCGCCAGATCATCG

    Reverse GCAAGAGATACAGTGTTGCTCCA

    NDUFA7 Forward CTGTGCCCCCTTCCATCAT

    Reverse TCTGCTGGCTTGCCTGACA

    NDUFA11 Forward CAATCCTCCGGGCACCTT

    Reverse TGCAGTGAACGTGTATTGTCCAA

    NDUFA12 Forward GGCATCGTTGGCTTCACAGT

    Reverse TTACGAGCAGTAAGTGGTTTTGTTGT

    NDUFA13 Forward CGCGCTGTTGCCACTGTTA

    Reverse CCCGAAGCATCTGCAAGGT

    NDUFAF2 Forward TGGGTTGGTCTCAGGATTTGTT

    Reverse TGCTCCTTCACTTCCCTTGACA

    NDUFAF4 Forward TTATGAGGAGATGGGAGCACTAGTG

    Reverse CCGCTCGGTTCTCTAGGTTGA

    NDUFB3 Forward GCTGGCTGCAAAAGGGCTA

    Reverse CTCCTACAGCTACCACAAATGC

    NDUFB7 Forward ATGTGATGCGCATGAAGGAGTT

    Reverse CTTCTCCCGCCGCTTCTT

    NDUFB11 Forward TCCTTGGCAGCACCTTTGTG

    Reverse CGGCGGGACCACTCTTTC

    NDUFS8 Forward GGCTGAGCCAAGAGCTGATG

    Reverse GATGCACTTGGTCATGTCGATGT

    NDUFC1 Forward GGCCCTTCAGTGCGATCA

    Reverse CCAGTCAGGTTTGGCATTCG

    UQCRB Forward ACTGGGGTTAATGCGAGATG

    Reverse GTCCAGTGCCCTCTTAATGC

    UCRC Forward GTGGGCGTCATGTTCTTCGA

    Reverse ACAGCTTCCCCTCGTTGATGT

    COX6A1 Forward ATGGCGGTAGTTGGTGTGTC

    Reverse GTGAGAGTCTTCCACATGCGA

  • COX6C Forward CAAAGAAAGAAGGCATACGCAGAT

    Reverse CTGAAAGATACCAGCCTTCCTCAT

    COX7B Forward CTTGGTCAAAAGCGCACTAAATC

    Reverse CTATTCCGACTTGTGTTGCTACA

    ATP5D Forward TTTGTGAGCAGCGGTTCCAT

    Reverse GGCCTTCTCCAAGTTTGCCT

    ATP5L Forward AAGAAATTGAGCGGCATAAG

    Reverse GGAAGCACACAGGTTGATTT

    MRPS21 Forward GCAAAACATCTGAAGTTCATCGC

    Reverse AGCCCATCCATAGTGAGGATTC

    MRPL2 Forward ACTCTAACCACATAGGCCGAA

    Reverse TCACTTTCCACGTTGTTGATGAG

    MRPL51 Forward TTCGAGGTTGGAAAGGGAATG

    Reverse GGATGCGTTTATTAAGGTTGTGC

    RPL36 Forward ATGGCCCTACGCTACCCTATG

    Reverse CGCACGAACTTGGTGTGTT

    RRBP1 Forward GGGTTGTGGTCTTTGGAGGAT

    Reverse GGTTGGCTAGGGCTTCTTCATA

    GAPDH Forward GGTGAAGGTCGGAGTCAACGGA

    Reverse GAGGGATCTCGCTCCTGAAGA

  • Description of the supplementary tables provided as Excel

    Table S3. The lists of the genes included in the individual clusters.

    Table S4. GO Biological Processes enriched in the DEGs in the individual clusters.

    Significantly enriched terms (P < 0.05) are shaded orange. The enriched terms shaded purple

    were included in Fig. 2C.

    Table S6. Seventy-two TFs that could potentially be involved in retrograde signaling induced

    by the mt3243 mutation. (A) The numbers of target genes of each TF and their significance

    (FDR; see Materials and Methods) in individual clusters. (B) 72 potential TFs that could be

    involved in retrograde signaling induced by the mt3243 mutation.

    Table S7. The OXPHOS genes differentially expressed in cells containing the mt3243

    mutation.

    Table S8. One hundred sixty-three DEGs that showed an increase in mRNA abundances in

    3243G M cells by the RA treatment.

    Table S9. The translation-related genes differentially expressed in cells containing the mt3243

    mutation.

    Table S10. One hundred eighty TFs that showed altered mRNA abundance in cells containing

    the mt3243 mutation.