Figure SOM1. Functional roles of the genes affected in zmet2-m1 mutants. Although the genes localized on the intracellular membranes were slightly over-represented.

Slides:



Advertisements
Similar presentations
Original Figures for "Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring"
Advertisements

Abstract BarleyBase ( is a USDA-funded public repository for plant microarray data. BarleyBase houses raw and normalized expression.
Microarray technology and analysis of gene expression data Hillevi Lindroos.
Quantitative Genetics
Microarray Gene Expression Data Analysis A.Venkatesh CBBL Functional Genomics Chapter: 07.
Bio 97 Midterm 2 Review Session October 26 th 2010 MSTB 118 5:30PM-7:30PM Emily Ling Talar Tfnakjian.
Scenario 6 Distinguishing different types of leukemia to target treatment.
Microarrays and Gene Expression Analysis. 2 Gene Expression Data Microarray experiments Applications Data analysis Gene Expression Databases.
Figure S1 Enod11 Mtc27 MtGshs cDNA gDNA S. meliloti DPI Supporting Information Fig. S1. Validation of the selected biological conditions for.
Fig. S1 RNA quality check. Shown are the results from Bio-Rad Experion system analysis of 12 RNA samples used in the microarray studies. The RQI (RNA Quality.
Statistical Analysis for Expression Experiments Heather Adams BeeSpace Doctoral Forum Thursday May 21, 2009.
Date of download: 6/25/2016 Copyright © 2016 American Medical Association. All rights reserved. From: Implication of SSAT by Gene Expression and Genetic.
Additional file 8: Estimation of biological variations
Pedigree Charts How to work Dominant and Recessive Genetic Problems with a Pedigree Chart.
Accurate Molecular Classification of Renal Tumors Using MicroRNA Expression  Eddie Fridman, Zohar Dotan, Iris Barshack, Miriam Ben David, Avital Dov, Sarit.
Diverse Transcriptional Programs Associated with Environmental Stress and Hormones in the Arabidopsis Receptor-Like Kinase Gene Family  Lee Chae, Sylvia.
Amplification of Whole Tumor Genomes and Gene-by-Gene Mapping of Genomic Aberrations from Limited Sources of Fresh-Frozen and Paraffin-Embedded DNA  Markus.
Correlation of log-transformed signal intensity from two Affymetrix microarray hybridizations using platelet RNA. Plotted are those probesets with an average.
Two splice-factor mutant leukemia subgroups uncovered at the boundaries of MDS and AML using combined gene expression and DNA-methylation profiling by.
Linkage, Recombination, and Eukaryotic Gene Mapping
Identification of the pathogenic pathways in osteoarthritic hip cartilage: commonality and discord between hip and knee OA  Y. Xu, M.J. Barter, D.C. Swan,
Christos Sotiriou, Chand Khanna, Amir A
H3K4me3 pattern association with functionally relevant genes and changes over time. H3K4me3 pattern association with functionally relevant genes and changes.
Influence of RNA Labeling on Expression Profiling of MicroRNAs
Volume 3, Issue 1, Pages (July 2008)
Volume 138, Issue 4, Pages (August 2009)
Accurate Molecular Characterization of Formalin-Fixed, Paraffin-Embedded Tissues by microRNA Expression Profiling  Anna E. Szafranska, Timothy S. Davison,
Volume 7, Issue 9, Pages (September 2014)
Roger B. Deal, Steven Henikoff  Developmental Cell 
by Gregory H. Underhill, David George, Eric G. Bremer, and Geoffrey S
Shiran Bar, Maya Schachter, Talia Eldar-Geva, Nissim Benvenisty 
Volume 20, Issue 2, Pages (January 2010)
Hi-C Analysis in Arabidopsis Identifies the KNOT, a Structure with Similarities to the flamenco Locus of Drosophila  Stefan Grob, Marc W. Schmid, Ueli.
Volume 5, Issue 1, Pages e4 (July 2017)
Translation of Genotype to Phenotype by a Hierarchy of Cell Subsystems
Volume 14, Issue 1, Pages (July 2011)
Volume 20, Issue 4, Pages e6 (April 2017)
Volume 21, Issue 2, Pages (January 2011)
Volume 12, Issue 6, Pages (December 2003)
Volume 20, Issue 4, Pages e6 (April 2017)
Michael Boutros, Hervé Agaisse, Norbert Perrimon  Developmental Cell 
A Global Profile of Germline Gene Expression in C. elegans
Microarray Gene Expression Analysis of Fixed Archival Tissue Permits Molecular Classification and Identification of Potential Therapeutic Targets in Diffuse.
Michal Levin, Tamar Hashimshony, Florian Wagner, Itai Yanai 
Expression Noise and Acetylation Profiles Distinguish HDAC Functions
A Cluster of Cytoplasmic Histidine Residues Specifies pH Dependence of the AE2 Plasma Membrane Anion Exchanger  Israel Sekler, Sumire Kobayashi, Ron R.
RNA Sequencing of Stentor Cell Fragments Reveals Transcriptional Changes during Cellular Regeneration  Henning Onsbring, Mahwash Jamy, Thijs J.G. Ettema 
Epigenomic Profiling Reveals DNA-Methylation Changes Associated with Major Psychosis  Jonathan Mill, Thomas Tang, Zachary Kaminsky, Tarang Khare, Simin.
Volume 21, Issue 6, Pages (June 2015)
Changes in mRNA levels do not correlate with changes in protein levels in upf1Δ and xrn1Δ cells. Changes in mRNA levels do not correlate with changes in.
RNA-seq results at the SAM
Volume 118, Issue 2, Pages (July 2004)
Biomedical Discovery with DNA Arrays
Anne Pfeiffer, Hui Shi, James M. Tepperman, Yu Zhang, Peter H. Quail 
Volume 5, Issue 1, Pages e4 (July 2017)
Brandon Ho, Anastasia Baryshnikova, Grant W. Brown  Cell Systems 
Volume 6, Issue 4, Pages (July 2013)
Correlation between Pten/p53 status and AKT pathway activity in BC and effect on clinical outcome Box plot for p53‐pathway activity in p53 wild‐type and.
Volume 42, Issue 1, Pages (April 2011)
Lab-Specific Gene Expression Signatures in Pluripotent Stem Cells
(A) Western blot probing nuclear extract from wild-type (wt) and the newly generated ACF1 mutant (AcfC) embryos (0–16 h). (A) Western blot probing nuclear.
Loyola Marymount University
7 WT 6 irx1-6 ixr fold increased expression 3 2 n- 1 AT1G18710
Whole-chromosome view of gene density, inverse environmental variation, inverse total variation, and open chromatin signature. Whole-chromosome view of.
Roles of Defense Hormones in the Regulation of Ozone-Induced Changes in Gene Expression and Cell Death  Enjun Xu, Lauri Vaahtera, Mikael Brosché  Molecular.
Diurnal Dependence of Growth Responses to Shade in Arabidopsis: Role of Hormone, Clock, and Light Signaling  Romina Sellaro, Manuel Pacín, Jorge J. Casal 
HIF-1α is not required for the classic transcriptional response to hypoxia. HIF-1α is not required for the classic transcriptional response to hypoxia.
A Light-Independent Allele of Phytochrome B Faithfully Recapitulates Photomorphogenic Transcriptional Networks  Wei Hu, Yi-Shin Su, J. Clark Lagarias 
Genome-wide Functional Analysis Reveals Factors Needed at the Transition Steps of Induced Reprogramming  Chao-Shun Yang, Kung-Yen Chang, Tariq M. Rana 
Antagonistic Roles for H3K36me3 and H3K27me3 in the Cold-Induced Epigenetic Switch at Arabidopsis FLC  Hongchun Yang, Martin Howard, Caroline Dean  Current.
Presentation transcript:

Figure SOM1. Functional roles of the genes affected in zmet2-m1 mutants. Although the genes localized on the intracellular membranes were slightly over-represented and the genes located in plastids were slightly under-represented among the genes affected in the zmet2-m1 mutant plants, these variations are likely insignificant. Cellular Localization Molecular Function Biological Process

B73 zmet2-m Coloring Figure SOM2. The expression profile of maize genes in zmet2-m1 mutants based on the spotted long oligonucleotide arrays. The expression of 179 genes defined as differentially expressed is shown for three biological replicates for B73 and B73 zmet2-m1 plants.

Normalized long oligonucleotide array log 2 expression values Normalized Affymetrix log 2 expression values B A Affymetrix log 2 (B73/B73 zmet2-m1) Long oligonucleotide array log 2 (B73/B73 zmet2-m1) Figure SOM3. Correlation between Affymetrix and the long oligonucleotide array platforms. (A) Correlation between log 2 ratios between average signals from B73 and B73 zmet2-m1 samples produced by two array platforms. (B) Scatter plots representing the correlation between normalized values for both platforms. The values for genes determined as differentially expressed in the Affymetrix data comparisons between B73 and B73 zmet2-m1genotype and present on the long oligonucleotide array. The normalized average expressions for these genes from both platforms were compared for B73 (circles) and the B73 zmet2-m1 plants (squares).

Figure SOM4. Classification of genes affected in zmet2-m1 mutant plants. (A) Clustering (Pearson correlation) results for each of the five groups of genes. The profile shown is the average between three biological replicates performed for each of four genotypes. Gene coloring is based on the normalized expression values (normalized to value of 1) for two genetic backgrounds compared on each part of the figure. (B) Examples of expression patterns observed for genes in the 10 different classes. For this graph, the expression of one gene per group is shown as average normalized expression values from three biological replicates. The specific expression values for all of the genes in each of the groups are shown in Table SOM2. Gene expression Group - 1 down 2 down 3 down 4 down 5 down 1 up 2 up 3 up 4 up 5 up B73 B73 zmet2 Mo17 Mo17 zmet2 B A

B73Mo Coloring Figure SOM5. Genes affected in zmet2-m1 mutant plants exhibit large variation in expression between wild type inbred lines B73 and Mo17. The expression of 126 genes defined as differentially expressed in either of the comparisons is shown for three biological replicates for B73 and Mo17. Gene coloring is based on the expression ratios between B73 and Mo17 genotypes. This comparison indicates that the genes most influenced by ZMET2 have large baseline expression differences in wild-type lines, possibly due to methylation differences in these lines.