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1 Supplementary Materials and Methods Histology and electron microscopy Left ventricular heart tissue from P0 pup was minced and fixed in 2% paraformaldehyde, 2.5% glutaraldehyde, and 0.1M cacodylate buffer. For electron microscopy on heart tissue of 7-week old mice, animals were perfused with a 4% paraformaldehyde, 1% gluteraldehyde, and 0.1M cacodylate buffer, followed by isolation and mincing of left ventricular heart tissue. Electron microscopy was performed at the UT Southwestern Electron Microscopy Core Facility using a FEI Tecnai G2 Spirit 120 Biotwin TEM. Differential gene expression analysis We performed RNA-seq using the Next Generation Sequencing Core at the University of Texas Southwestern Medical Center. Three micrograms of DNAse- treated RNA per replicate were prepared using the TruSeq Stranded LT Kit from Illumina. Samples were then PCR amplified and purified with Ampure XP beads before sequencing on a HiSeq 2500 instrument (Illumina, Inc., San Diego, CA). All procedures were carried out according to manufacturer protocols. Quality assessment of the RNA-seq data was done using NGS-QC-Toolkit (Patel and Jain, 2012). Reads with mean phred quality scores of less than 20 were removed from further analysis. Quality filtered reads were then aligned to the mouse reference genome GRCm38 (mm10) using the Tophat2 (v 2.0.0 ) aligner (Kim et al., 2013) using default setting. Differential gene expression

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Page 1: Supplementary Materials and Methods Histology and electron ... · Supplementary Materials and Methods Histology and electron microscopy Left ventricular heart tissue from P0 pup was

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Supplementary Materials and Methods

Histology and electron microscopy

Left ventricular heart tissue from P0 pup was minced and fixed in 2%

paraformaldehyde, 2.5% glutaraldehyde, and 0.1M cacodylate buffer. For

electron microscopy on heart tissue of 7-week old mice, animals were perfused

with a 4% paraformaldehyde, 1% gluteraldehyde, and 0.1M cacodylate buffer,

followed by isolation and mincing of left ventricular heart tissue. Electron

microscopy was performed at the UT Southwestern Electron Microscopy Core

Facility using a FEI Tecnai G2 Spirit 120 Biotwin TEM.

Differential gene expression analysis

We performed RNA-seq using the Next Generation Sequencing Core at the

University of Texas Southwestern Medical Center. Three micrograms of DNAse-

treated RNA per replicate were prepared using the TruSeq Stranded LT Kit from

Illumina. Samples were then PCR amplified and purified with Ampure XP beads

before sequencing on a HiSeq 2500 instrument (Illumina, Inc., San Diego, CA).

All procedures were carried out according to manufacturer protocols.

Quality assessment of the RNA-seq data was done using NGS-QC-Toolkit

(Patel and Jain, 2012). Reads with mean phred quality scores of less than 20

were removed from further analysis. Quality filtered reads were then aligned to

the mouse reference genome GRCm38 (mm10) using the Tophat2 (v 2.0.0 )

aligner (Kim et al., 2013) using default setting. Differential gene expression

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analysis was done using the R package DESeq (v 1.10.1) (Anders and Huber,

2010) following the protocols outlined in (Anders et al., 2013). Read counts were

normalized by taking the median of each gene count across samples and

dividing each sample gene count by the relative ratio of library sizes between the

calculated median and sample size. The averaged normalized expression values

of the triplicate samples were used to calculate fold change and p-values. Cutoff

values of fold change greater than 1.5 and p-value less than 0.01 were then used

to select for differentially expressed genes between sample group comparisons.

Pathway enrichment analysis

Significant pathway enrichment analysis was performed using Ingenuity

Pathways Analysis (Ingenuity® Systems). Differentially expressed genes from

the RNA expression data are associated with a biological function supported by

at least one publication in the Ingenuity Pathways Knowledge Base. Fisher’s

exact test was used to calculate the p-value and determine the probability that

each biological function was enriched in the dataset due to chance alone.

Statistically significant biological pathways were then identified by selection for

pathways with p-values less than 0.05. DAVID gene functional annotation and

classification tool (Huang et al., 2007) was used to annotate the list of

differentially expressed genes with respective Gene Ontology terms and perform

GO enrichment analysis for molecular and biological functional categories.

Functional Gene Ontology groups were selected for significance by using a p-

value cutoff of 1%.

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CArG-box scan

Known mouse CArG-box sequences were previously reported (Sun et al., 2006).

The genomic sequences around the transcription start site (TSS) (-5 kb/+5 kb) of

each differential expressed transcript were retrieved from the Ensembl bioMart

server. In-house script was used to search each TSS flanking sequences for

exact match of any known CArG-box sequences. Euarchontoglaire subset of

basewise conservation scores (phyloP) for mouse genome (mm10) was

downloaded from UCSC genome browser (Kent et al., 2002). Genomic locations

of CArG-box sequences in TSS flanking regions were kept if: (1) the average

phyloP of the motif is positive and no less than 80% of the nucleotides have

positive phyloP and (2) the flanking (-50 bp/+50 bp) region of the motif has a

positive average phyloP.

Transthoracic echocardiography

Measurements of interventricular septum, left ventricular posterior wall thickness

and the diameter of the LV at the end-diastole and end-systole were obtained.

Images were digitally recorded and analyzed using the Visual Sonic software

Vevo 770 (Version 2.30). Left ventricular fractional shortening (FS) was

calculated based on the left ventricular internal dimension-diastole (LVIDd) and

the left ventricular internal dimension in systole (LVIDs) according to the

following formula: FS (%) = [(LVIDd – LVIDs)/LVIDd] × 100.

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Supplemental References

Anders, S., Huber, W., 2010. Differential expression analysis for sequence count data. Genome Biol. 11, R106. doi:10.1186/gb-2010-11-10-r106

Anders, S., McCarthy, D.J., Chen, Y., Okoniewski, M., Smyth, G.K., Huber, W., Robinson, M.D., 2013. Count-based differential expression analysis of RNA sequencing data using R and Bioconductor. Nat Protoc 8, 1765–1786. doi:10.1038/nprot.2013.099

Huang, D.W., Sherman, B.T., Tan, Q., Kir, J., Liu, D., Bryant, D., Guo, Y., Stephens, R., Baseler, M.W., Lane, H.C., Lempicki, R.A., 2007. DAVID Bioinformatics Resources: expanded annotation database and novel algorithms to better extract biology from large gene lists. Nucleic Acids Res. 35, W169–75. doi:10.1093/nar/gkm415

Kent, W.J., Sugnet, C.W., Furey, T.S., Roskin, K.M., Pringle, T.H., Zahler, A.M., Haussler, D., 2002. The human genome browser at UCSC. Genome Res. 12, 996–1006. doi:10.1101/gr.229102

Kim, D., Pertea, G., Trapnell, C., Pimentel, H., Kelley, R., Salzberg, S.L., 2013. TopHat2: accurate alignment of transcriptomes in the presence of insertions, deletions and gene fusions. Genome Biol. 14, R36. doi:10.1186/gb-2013-14-4-r36

Patel, R.K., Jain, M., 2012. NGS QC Toolkit: a toolkit for quality control of next generation sequencing data. PLoS ONE 7, e30619. doi:10.1371/journal.pone.0030619

Sun, Q., Chen, G., Streb, J.W., Long, X., Yang, Y., Stoeckert, C.J., Miano, J.M., 2006. Defining the mammalian CArGome. Genome Res. 16, 197–207. doi:10.1101/gr.4108706

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Supplementary Figures

Figure S1. Generating and analyzing MRTFcdKO animals. (A) Breeding strategy used to generate MRTF cardiac double knockout (MRTFcdKO) mice. Global MRTF-A knockout mice and conditional cardiac MRTF-B knockout mice were used to generate MRTF-A-/-; MRTF-Bfl/fl;αMHC-Cre (MRTFcdKO) mice. (B) qRT-PCR confirmed deletion of MRTF-A and MRTF-B in MRTFcdKO hearts at P0. MRTF-A was undetectable in MRTFcdKO hearts. Residual MRTF-B levels represent MRTF-B expression in non-cardiomyocytes. Shown also is the down-regulation of SRF following MRTF deletion. (C) H&E staining of MRTFcdKO hearts at 10 days and 3 weeks of age revealed left ventricle dilation, indicative of heart failure. Scale Bar: 2mm. (D) Representative echocardiography images from control (top panel) and MRTFcdKO animals (bottom panel) at 7-8 weeks of age.

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Figure S2. Gene ontology analysis of differentially expressed genes in

MRTFcdKO hearts.

(A) GO analysis identified multiple enriched terms in MRTFcdKO hearts at P0. (B)

Genes relating to apoptosis and cell death were significantly altered by GO

analysis in MRTFcdKO hearts at P0 compared to control mice.

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Figure S3. Validation of RNA-seq analysis by RT-qPCR.

qPCR for genes relating to apoptosis and the cytoskeleton confirmed changes in

expression similar to those observed by RNA-seq.

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Table S1. The top 50 most differentially expressed genes in MRTFcdKO mice.

ID   Fold  Change   Log2FoldChange   P-­‐Value  GM28438   0.006991375   -­‐6.913357102   8.66E-­‐77  2610507I01RIK   0.024794668   -­‐5.197798958   4.62E-­‐32  LYNX1   0.027393684   -­‐5.168201061   2.23E-­‐12  GM3650   48.6092862   4.860981491   6.93E-­‐15  ACTA1   0.047721728   -­‐4.377932644   0.000992976  GM8210   0.051578972   -­‐3.978989328   6.60E-­‐08  UNC13C   16.59667462   3.967248271   4.77E-­‐28  GM5860   0.060054144   -­‐3.935039121   2.66E-­‐21  GM11469   0.066478934   -­‐3.796788214   3.08E-­‐20  UNC5A   0.059165642   -­‐3.61240345   4.32E-­‐07  EIF3J1   0.083257466   -­‐3.51892299   3.94E-­‐22  GM14267   0.083466882   -­‐3.513042584   3.48E-­‐22  TRPV3   0.057750553   -­‐3.488026787   2.90E-­‐05  MUC5B   0.067284126   -­‐3.39322234   1.93E-­‐06  GM9522   11.34369589   3.357454595   2.34E-­‐08  GM12247   12.2692679   3.291540761   1.77E-­‐07  DDX4   0.087372346   -­‐3.156585105   8.96E-­‐06  1700119I11RIK   0.089300824   -­‐3.052548135   0.003527209  RP23-­‐172B15.2   0.09806965   -­‐2.98359562   3.05E-­‐05  KLHDC9   9.366912286   2.836143723   0.005455509  MOGAT2   0.092112142   -­‐2.774327258   0.001905934  PCSK1   0.089317443   -­‐2.688478302   0.008775964  GM15848   10.04943971   2.663034354   0.008423659  ZFP429   0.151458396   -­‐2.655658924   2.37E-­‐07  NEK5   7.490095467   2.539384444   0.000956468  MYL9   0.174558299   -­‐2.518023512   2.09E-­‐05  2510016G02RIK   0.146303782   -­‐2.487030755   0.002497563  G530011O06RIK   7.021882749   2.480727966   0.001107203  GM1966   0.141353602   -­‐2.403275937   0.00951382  GM13841   5.82283645   2.397705576   0.000257269  4932418E24RIK   0.155926692   -­‐2.392875205   0.003945343  TRIM5   0.163355153   -­‐2.320831509   0.004483675  ACTN3   5.749525499   2.311248472   0.005789967  SERPINA3H   5.619168988   2.303683426   0.000559737  4930556M19RIK   5.765472303   2.297798561   0.00085532  PLA2G4B   0.18976905   -­‐2.271402081   0.00010793  HBB-­‐BT   0.207084867   -­‐2.264965171   0.000159347  ANGPTL3   0.190215162   -­‐2.259072117   0.000307181  SERTM1   0.196793464   -­‐2.244957912   2.61E-­‐05  TRIM30D   0.175402082   -­‐2.236070712   0.002857508  

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BANF2OS   0.203176088   -­‐2.223357451   0.000122305  RHBDL2   0.177829033   -­‐2.196002688   0.006149259  GM11627   0.210179365   -­‐2.188972706   0.000211178  GM28515   4.806953603   2.188306636   2.88E-­‐06  GM14018   0.200150263   -­‐2.166925754   0.001705125  4930458D05RIK   0.220096867   -­‐2.146118008   6.18E-­‐10  GM26782   0.221579179   -­‐2.136064944   2.25E-­‐08  GM10435   0.228238604   -­‐2.127967789   5.94E-­‐13  SEMA5B   0.214816333   -­‐2.082665987   0.000669866  8430419K02RIK   4.393285413   2.027666993   0.000241323  

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Table S2. The 21 genes with altered expression in MRTFcdKO mice in the top 5

Canonical Pathways by Ingenuity Pathway Analysis.

ID   Fold  Change   Log2FoldChange   P-­‐Value  ACTA1   0.047721728   -­‐4.389209894   0.000992976  MYL9   0.174558299   -­‐2.518219151   2.09E-­‐05  CDH6   0.314165124   -­‐1.670405063   0.008952751  RHOJ   0.417505323   -­‐1.260133503   7.88E-­‐05  ACTC1   0.42738002   -­‐1.22640863   0.000473576  NME1   0.444463448   -­‐1.169863317   2.44E-­‐05  EPN3   0.454044278   -­‐1.1390951   0.005201225  TUBA4A   0.470514507   -­‐1.087688889   0.000363999  PAK6   0.471730137   -­‐1.083966324   5.07E-­‐05  TUBB4A   0.477602957   -­‐1.066116326   0.00959656  ITGA2   0.551414173   -­‐0.858791745   0.003510127  TUBB2A   0.573225532   -­‐0.802825224   0.002759575  TUBG1   0.581554405   -­‐0.78201393   0.002377598  ACTG1   0.592564452   -­‐0.754956013   0.004970196  TUBB6   0.651918472   -­‐0.61723654   0.004347837  ACTB   0.656546268   -­‐0.607031412   0.002607208  PIP4K2C   1.539197091   0.622177977   0.005479088  RHOU   1.639862995   0.713575287   0.003396742  GNAO1   1.858589575   0.894208221   0.00056425  MYL1   2.120180046   1.084186784   0.000388454  MYH14   2.31729352   1.212440795   0.000241154    

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Table S3. The 37 differentially expressed genes in MRTFcdKO mice that were

associated with cell death and survival by DAVID Gene Ontology Analysis.

ID   Fold  Change   Log2FoldChange   P-­‐Value  ACTC1   0.42738002   -­‐1.226403272   0.000473576  ADAMTSL4   1.617712492   0.692130131   0.004393991  AEN   0.630454695   -­‐0.664412906   0.009034744  APOE   1.727525341   0.788491093   9.52E-­‐05  BCL2L11   1.56601491   0.646696821   0.001865514  BMF   2.157140936   1.107524977   1.22E-­‐06  BNIP3L   1.603804386   0.68109972   0.001246198  BRCA1   0.595314607   -­‐0.746112436   0.002705932  BTG1   1.51929204   0.603160188   0.005733564  CD24A   1.831528173   0.872129683   4.34E-­‐05  CD28   2.070189386   1.032001254   0.005147117  CDKN1B   1.563887858   0.644964303   0.002473  CIAPIN1   0.582696652   -­‐0.778373251   0.000236447  CLU   1.696087711   0.761973833   0.000144536  CYFIP2   0.279645662   -­‐1.833096629   5.77E-­‐14  DAP   0.568491801   -­‐0.813128752   0.001086605  DHCR24   0.580551317   -­‐0.782838132   0.003277917  DNAJA3   0.625828004   -­‐0.675894475   0.001838312  DRAM1   1.756618864   0.808589516   0.004050185  EYA1   2.499402622   1.297129794   0.001190505  GM10053   0.624017963   -­‐0.68010448   0.000946801  IFI204   2.318606706   1.190849174   0.001765931  LIG4   0.647190911   -­‐0.626332888   0.009444837  MKL1   0.276763636   -­‐1.837787283   7.90E-­‐09  NMNAT3   1.786468276   0.833711075   0.006846066  NTF3   1.947184431   0.948194331   0.006238083  PDCD4   1.910788959   0.933211369   1.22E-­‐05  PEG10   0.420515546   -­‐1.246505817   3.70E-­‐07  PEG3   1.505389899   0.590072905   0.003992632  PGP   0.630298741   -­‐0.664364141   0.006545294  SERINC3   1.735154225   0.794996449   0.003539044  SOD2   0.615487811   -­‐0.700068608   0.000620067  TNFRSF10B   0.538229818   -­‐0.888572672   0.002276175  TRP53INP1   2.436747562   1.284350206   5.13E-­‐08  UNC5A   0.059165642   -­‐3.61240345   4.32E-­‐07  XAF1   2.894341231   1.528310499   2.73E-­‐10  YPEL3   2.179018158   1.121093471   3.63E-­‐06  

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Table S4. The 212 MRTF-regulated genes identified as having a conserved

CArG box within 5kb of the Transcriptional Start Site.

ID   Fold  Change   Log2FoldChange   P-­‐Value  1190007I07RIK   0.35733476   -­‐1.460220054   0.000166275  2210404O09RIK   1.755826455   0.808368442   0.002749905  2810408A11RIK   2.12523291   1.075681187   0.000962172  4930556M19RIK   5.765472303   2.297798561   0.00085532  ACTA1   0.047721728   -­‐4.377932644   0.000992976  ACTB   0.656546268   -­‐0.606985671   0.002607208  ACTC1   0.42738002   -­‐1.226403272   0.000473576  ACTG1   0.592564452   -­‐0.752301125   0.004970196  ACTN3   5.749525499   2.311248472   0.005789967  ADAMTSL1   0.450486758   -­‐1.140148538   0.00033726  ALAS1   0.602436034   -­‐0.730915264   0.000268256  ALG8   0.602918962   -­‐0.727392693   0.004227898  AMPD3   0.608333115   -­‐0.716090282   0.000990776  ANKRA2   1.581814332   0.660783043   0.003089801  APPL2   1.521854804   0.60557871   0.004574438  AZIN2   2.133719546   1.080289378   0.005215069  B130055M24RIK   0.419959048   -­‐1.23051908   0.001839326  B3GALT1   1.615515915   0.689357059   0.007343401  BANF2OS   0.203176088   -­‐2.223357451   0.000122305  BC030867   0.487200878   -­‐1.021155822   0.006220687  BCAS3   1.899821144   0.924231518   0.000986544  BCL2L11   1.56601491   0.646696821   0.001865514  BCS1L   0.581952134   -­‐0.779199153   0.001098062  BRCA1   0.595314607   -­‐0.746112436   0.002705932  CALCOCO1   1.883146102   0.912928973   0.000137461  CAMK1G   1.600889387   0.675531713   0.007096875  CAPN6   1.966318775   0.975103131   4.00E-­‐06  CAR3   0.250799149   -­‐1.943992102   0.001435992  CCNG2   2.320097561   1.213399029   3.14E-­‐08  CD28   2.070189386   1.032001254   0.005147117  CD59A   0.529242388   -­‐0.915881326   0.000217994  CDC14B   1.850379087   0.887090046   0.00063515  CDO1   1.973914276   0.975133151   0.001271475  CECR2   1.602555862   0.678065285   0.007868531  CHCHD5   1.985208125   0.98474214   0.000165034  CHP2   2.966013801   1.545064309   8.59E-­‐06  CHRM2   2.6296554   1.394525033   0.000173965  CKM   0.572760783   -­‐0.803973096   4.57E-­‐05  

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CLEC4G   0.288746686   -­‐1.7136804   0.004176137  CLSPN   0.634028494   -­‐0.655848124   0.008172442  CNN1   0.355695003   -­‐1.488867983   1.98E-­‐06  CNN2   0.556641652   -­‐0.844743185   0.006413844  CPEB1   2.090011609   1.051636639   0.001435961  CPXM1   1.645658475   0.714744387   0.005351331  CTSF   1.537670056   0.619760582   0.004799016  CYP2U1   0.512643885   -­‐0.95611667   0.001142236  DAP   0.568491801   -­‐0.813128752   0.001086605  DIXDC1   2.59772605   1.376270352   3.18E-­‐10  DLAT   0.632822313   -­‐0.660046003   0.00137105  DMPK   0.608053243   -­‐0.71743095   0.002084121  DNAJC11   0.619838775   -­‐0.689752402   0.007473582  DOK7   0.59177742   -­‐0.754959908   0.00142638  DRAM1   1.756618864   0.808589516   0.004050185  DUOX2   4.114136065   1.997259797   5.10E-­‐07  DUSP18   0.492845418   -­‐1.019301008   5.57E-­‐06  DYNLL2   0.621246407   -­‐0.686573546   0.001909034  E2F8   0.611843574   -­‐0.705697281   0.00995787  EYA1   2.499402622   1.297129794   0.001190505  EZH1   2.085826149   1.059562294   0.001792111  FAM161B   0.578628504   -­‐0.787246489   0.002852108  FAM19A3   0.475337176   -­‐1.067183223   0.008367932  FAM213B   0.359676788   -­‐1.466075226   8.15E-­‐07  FAM73B   0.624219853   -­‐0.679416126   0.004992484  FAM81A   0.326081777   -­‐1.614519915   1.31E-­‐06  FANCA   0.555287979   -­‐0.843069425   0.00374417  FBLIM1   0.633546885   -­‐0.658056673   0.005268296  FBXL22   0.395269496   -­‐1.338272995   0.009130366  FCGR2B   2.429937247   1.254143352   0.002714214  FGF11   0.515319775   -­‐0.950633398   0.001700989  FRMD5   0.426037017   -­‐1.230616901   4.69E-­‐05  G530011O06RIK   7.021882749   2.480727966   0.001107203  GAP43   0.511877848   -­‐0.956900299   0.003160424  GARNL3   1.620503121   0.694183567   0.002639159  GAS5   1.743804779   0.801167782   0.000618593  GBP6   2.103712575   1.056985301   0.005074501  GCNT1   1.760385519   0.814449032   0.00623247  GM10451   0.307890436   -­‐1.651783961   0.00077112  GM11627   0.210179365   -­‐2.188972706   0.000211178  GM12409   2.568682813   1.314504618   0.007002268  GM12522   2.614363723   1.347942314   0.002336385  GM12691   2.312181566   1.193114571   0.008727584  

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GM14267   0.083466882   -­‐3.513042584   3.48E-­‐22  GM17029   0.43510604   -­‐1.190274972   0.000206294  GM28438   0.006991375   -­‐6.913357102   8.66E-­‐77  GM5499   0.605707857   -­‐0.721639279   0.004513125  GM5860   0.060054144   -­‐3.935039121   2.66E-­‐21  GM6969   2.481174215   1.309247556   0.002815898  GM8210   0.051578972   -­‐3.978989328   6.60E-­‐08  GM8730   1.999561646   0.999157831   1.12E-­‐06  GM9755   0.644497774   -­‐0.633455061   0.002289689  GPR157   0.594932239   -­‐0.74826847   0.000801552  GRAP2   3.084516205   1.575175215   0.000400381  GSPT2   1.885105946   0.905642744   0.003719586  GSTA3   3.539547505   1.72020055   0.004244988  HEATR5B   0.620083549   -­‐0.689011823   0.001772654  HEBP1   1.888130611   0.914226473   0.002941431  HIST1H1C   1.66217713   0.732615806   0.000332387  HMGN3   1.701127666   0.763720833   0.001961087  HSPB6   0.381180447   -­‐1.390635237   1.55E-­‐06  HYDIN   3.309227742   1.618132557   0.008873111  IDE   2.134416682   1.093730273   7.44E-­‐08  INPP5K   1.854582634   0.89043111   3.12E-­‐05  KCNJ3   2.602541461   1.378800469   2.44E-­‐07  KCNMB1   0.405570548   -­‐1.274910279   0.001717594  KIF5C   0.394119556   -­‐1.329097071   0.00010323  KLHL32   0.237626406   -­‐2.016878646   0.000164738  LAMA3   1.801374397   0.844235413   0.003969264  LGALS4   0.440841434   -­‐1.176732142   0.00096699  LIG4   0.647190911   -­‐0.626332888   0.009444837  LMNB2   0.533202606   -­‐0.905292101   0.0003583  LRPPRC   0.596990083   -­‐0.744080501   0.000802412  LRTM1   0.254569847   -­‐1.969925924   3.33E-­‐16  MBP   1.626184353   0.697646867   0.008744114  MCM8   0.549620549   -­‐0.858473967   0.002957034  MMACHC   0.63777839   -­‐0.648312644   0.002876613  MORF4L1   1.933773301   0.948030371   0.000250541  MPI   0.638976806   -­‐0.645775125   0.005053929  MRPL34   0.597233973   -­‐0.742135237   0.001367958  MRPL42   0.648535447   -­‐0.624430234   0.003891228  MRPS25   0.539004295   -­‐0.8894007   0.000167034  MSMO1   0.582141904   -­‐0.77956749   0.007848531  MTIF2   0.654229905   -­‐0.611806443   0.006531523  MYH14   2.31729352   1.197688271   0.000241154  MYL1   2.120180046   1.08242375   0.000388454  

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MYL9   0.174558299   -­‐2.518023512   2.09E-­‐05  MYO19   0.607228069   -­‐0.718062971   0.004138864  NAP1L5   2.146929152   1.087706884   0.001305404  NDUFAF1   0.518409365   -­‐0.946859123   2.58E-­‐05  NME1   0.444463448   -­‐1.16358304   2.44E-­‐05  NPPA   1.981809017   0.986687372   1.01E-­‐06  NR5A2   0.506810955   -­‐0.968589086   0.006604881  NRXN1   2.3145246   1.189743453   0.001147177  NUDT19   0.440788557   -­‐1.180299377   1.08E-­‐06  NXF3   3.967131057   1.89534454   0.002503031  OBSCN   0.662790825   -­‐0.593330251   0.00528976  OCIAD2   2.183947378   1.123352458   0.003358055  OGDHL   0.312592701   -­‐1.658709429   3.27E-­‐06  OMA1   0.640685877   -­‐0.640915637   0.00988875  OXCT1   0.649016174   -­‐0.6236099   0.004215392  OXNAD1   0.62317947   -­‐0.681842129   0.002102321  PAK6   0.471730137   -­‐1.079832323   5.07E-­‐05  PAM   1.55737667   0.639107706   0.001083628  PAPPA2   0.498733046   -­‐0.982322274   0.009720914  PDE4A   0.613550578   -­‐0.703093969   0.009825944  PI15   1.783840695   0.834051736   0.001437012  PIP4K2C   1.539197091   0.621436334   0.005479088  PKHD1L1   0.645475496   -­‐0.630580827   0.004688553  PLEKHB2   0.607010295   -­‐0.719860901   0.001094664  PM20D2   0.604319081   -­‐0.723029633   0.006595691  POLA1   0.63112539   -­‐0.662780271   0.007230553  POU6F1   1.719552639   0.780183645   0.001088851  PPA1   0.590789716   -­‐0.757866468   0.000966258  PPTC7   0.62536327   -­‐0.676842973   0.000550215  PRDM16   0.647542696   -­‐0.626039288   0.00733467  PRDM1   0.488027083   -­‐1.02352385   0.004267062  PXYLP1   1.743225978   0.799539589   0.001076057  RAB3C   0.360760023   -­‐1.440422959   0.000139775  RAD51   0.480417145   -­‐1.052682614   0.004108274  RASD2   2.520037848   1.301641865   0.002816563  RHBDL2   0.177829033   -­‐2.196002688   0.006149259  RHOJ   0.417505323   -­‐1.258609754   7.88E-­‐05  RNF167   1.582027924   0.660918738   0.00265968  RP23-­‐172B15.2   0.09806965   -­‐2.98359562   3.05E-­‐05  RP23-­‐330G24.3   1.818630316   0.855468674   0.00493082  RP23-­‐82P18.3   3.102494642   1.557675167   0.004249188  RPS3A1   1.917583148   0.93718097   0.00013019  RPS3A3   0.390414188   -­‐1.354905069   5.41E-­‐06  

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RTN2   1.665467238   0.734688753   0.000686906  SEMA3C   0.589206414   -­‐0.76195771   0.000781181  SFI1   1.584068706   0.661094723   0.008859806  SGTB   2.246418652   1.156022027   0.000581537  SH3BGRL2   1.767551275   0.819501919   0.000782512  SH3D21   1.994615242   0.985498964   0.004297125  SLC19A3   2.225123439   1.145153791   0.000203333  SLC24A4   2.572170968   1.34132013   0.000216107  SLC28A2   0.362158842   -­‐1.458859724   2.34E-­‐07  SLC46A3   1.810479091   0.847846921   0.009568978  SLC6A4   3.189730388   1.631923361   0.000126568  SMTN   0.591129301   -­‐0.757972474   0.000559498  SOX5   1.825169802   0.861819282   0.006287993  SPATA13   0.577794423   -­‐0.79069538   0.006172189  SPEG   0.566854312   -­‐0.818649996   0.001848996  SPON1   1.704522159   0.769021581   0.000264427  SQLE   0.561877726   -­‐0.830335234   0.000679576  TBC1D1   0.32342122   -­‐1.627278636   0.000433226  TCP11L2   2.016820194   1.011578923   0.001132102  TGFA   2.141713324   1.092182206   6.54E-­‐05  THRB   1.965956931   0.969292052   0.004082552  TLCD2   1.970431501   0.971592037   0.000596386  TLL1   1.989774993   0.986781723   0.000537508  TM6SF1   0.546624577   -­‐0.869520577   0.000155201  TNFRSF19   1.698383063   0.762555036   0.006647234  TNIP1   1.70704759   0.770431073   0.000954218  TPM2   0.446130301   -­‐1.163648775   0.001507463  TPM3   1.529984171   0.612872627   0.006216939  TRAFD1   1.53371511   0.616695294   0.004453647  TRIM5   0.163355153   -­‐2.320831509   0.004483675  TRIM9   2.427628368   1.254373255   0.004776924  TRP53INP1   2.436747562   1.284350206   5.13E-­‐08  TSFM   0.569154222   -­‐0.810631909   0.001326032  TUBA4A   0.470514507   -­‐1.086894619   0.000363999  TUBB4B-­‐PS1   0.615488631   -­‐0.697096976   0.003470427  TXNDC16   1.667972329   0.73745954   0.000950595  UBLCP1   0.395267543   -­‐1.335242727   9.06E-­‐08  UCHL1   0.659722953   -­‐0.598224148   0.008746841  UNC13C   16.59667462   3.967248271   4.77E-­‐28  WBSCR27   3.151480434   1.643578991   0.001009769  WNK2   0.518983353   -­‐0.94192382   0.000999083  YPEL1   2.262632223   1.169513137   0.000661749  ZFP277   1.712236873   0.774763718   0.000710982  

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ZFP949   1.887901503   0.914533839   0.000277428  ZKSCAN2   2.405526056   1.250547415   0.003569223  

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Table S5. The 53 genes identified as both differentially expressed in MRTFcdKO

hearts at P0 and as a target for SRF binding.

ID   Fold  Change   Log2FoldChange   P-­‐Value  CYFIP2   0.279645662   -­‐1.833096629   5.77E-­‐14  RINL   0.421651597   -­‐1.218305833   0.006466608  GDF15   0.248891136   -­‐1.878144226   0.003651978  FANCA   0.555287979   -­‐0.843069425   0.00374417  C1QBP   0.582267126   -­‐0.779812193   0.000113259  SOD2   0.615487811   -­‐0.700068608   0.000620067  DNAJC11   0.619838775   -­‐0.689752402   0.007473582  ACTC1   0.42738002   -­‐1.226403272   0.000473576  RSAD1   0.492701194   -­‐1.018656005   2.58E-­‐05  LDLR   0.526182016   -­‐0.925077011   2.53E-­‐05  ACBD4   1.656492048   0.725927862   0.004022942  APPL2   1.521854804   0.60557871   0.004574438  SFI1   1.584068706   0.661094723   0.008859806  RNMTL1   0.536831203   -­‐0.894544115   0.000322837  SLC24A4   2.572170968   1.34132013   0.000216107  PARN   1.582149961   0.661184484   0.003687446  ACTB   0.656546268   -­‐0.606985671   0.002607208  ANKRD6   1.680484141   0.746022074   0.006462825  ANKRD9   0.60079455   -­‐0.730736377   0.008499818  MFN2   0.624031815   -­‐0.680257971   0.00146577  SMTN   0.591129301   -­‐0.757972474   0.000559498  CIRBP   1.621379661   0.696899857   0.001216818  DEF8   0.639310894   -­‐0.64478498   0.005597044  RHOU   1.639862995   0.712248449   0.003396742  BOLA3   0.550968951   -­‐0.857295732   0.000972265  MYL9   0.174558299   -­‐2.518023512   2.09E-­‐05  SPEG   0.566854312   -­‐0.818649996   0.001848996  G530011O06RIK   7.021882749   2.480727966   0.001107203  OXCT1   0.649016174   -­‐0.6236099   0.004215392  TPM2   0.446130301   -­‐1.163648775   0.001507463  CYP1B1   2.823781654   1.493507639   6.43E-­‐05  CNN1   0.355695003   -­‐1.488867983   1.98E-­‐06  CNN2   0.556641652   -­‐0.844743185   0.006413844  CYP2U1   0.512643885   -­‐0.95611667   0.001142236  CACNA1H   0.527077435   -­‐0.922554824   0.000495267  ATPAF2   0.611207801   -­‐0.708990679   0.002555179  NME1   0.444463448   -­‐1.16358304   2.44E-­‐05  

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PPP1R1B   0.457866507   -­‐1.118535053   0.000284232  UNC13C   16.59667462   3.967248271   4.77E-­‐28  MTL5   0.466576726   -­‐1.085403063   0.00692577  ACTG1   0.592564452   -­‐0.752301125   0.004970196  CDK5RAP1   1.660109692   0.729652785   0.001966415  NAMPT   1.706131089   0.77036227   0.002608782  LYRM7   0.349970402   -­‐1.507068877   9.97E-­‐06  MAP1LC3B   1.524187384   0.607743896   0.008754858  MORF4L1   1.933773301   0.948030371   0.000250541  PGP   0.630298741   -­‐0.664364141   0.006545294  SEMA3C   0.589206414   -­‐0.76195771   0.000781181  MRPL34   0.597233973   -­‐0.742135237   0.001367958  PDE4A   0.613550578   -­‐0.703093969   0.009825944  DSTN   0.633737283   -­‐0.658016883   0.000960375  ACTA1   0.047721728   -­‐4.377932644   0.000992976  EIF4B   1.568400066   0.649231352   0.002900104