Cell lineXY11q WM793 1.1 2.3 WM793-P1 1.92.04.2 WM793-P2 1.61.73.5 1205-Lu 21.12.65 ABAB WM793:WM793-P2WM793:1205-Lu WM793 WM793:WM793-P1 Supplemental.

Slides:



Advertisements
Similar presentations
Microarray technology and analysis of gene expression data Hillevi Lindroos.
Advertisements

Introduction to Genetics A.Definition of “Genetics” B.Proteins C.Nucleic Acids D.The Central Dogma of Genetics E.Historical Perspective.
Gene expression analysis summary Where are we now?
Comparative Genomic Hybridization (CGH). Outline Introduction to gene copy numbers and CGH technology DNA copy number alterations in breast cancer (Pollack.
Genome-Wide RNAi Analysis of Growth and Viability in Drosophila Cells Boutros et al.
Real Time PCR = Quantitative PCR.
Genome of the week - Deinococcus radiodurans Highly resistant to DNA damage –Most radiation resistant organism known Multiple genetic elements –2 chromosomes,
Supplementary Material Epigenetic histone modifications of human transposable elements: genome defense versus exaptation Ahsan Huda, Leonardo Mariño-Ramírez.
Supplemental figure 1: Correlation coefficients between signal intensities from biological replicates of wild.
Supplemental Fig. S1 extracellular (P=0.000) cell wall (P=0.000) ribosome (P=0.001) ER (P=0.294) golgi apparatus (P=0.005) plasma membrane (P=0.000) mitochondria.
AP Biology DNA Study Guide. Chapter 16 Molecular Basis of Heredity The structure of DNA The major steps to replication The difference between replication,
E14.5E16.5E18.5 Normalized mRNA level Get1 Nfix Smarcd3 A Supplementary Figure 1 (A) The microarray expression levels of bladder terminal differentiation.
GO-Slim term Cluster frequency cytoplasm 1944 out of 2727 genes, 71.3% 70 out of 97 genes, 72.2% out of 72 genes, 86.1% out.
Supplementary Material 3 Gene ontology annotation of cellular component, molecular function and biological processes for both hypoxia and NAP supplemented.
Supplemental Figure 1. Levels of nitrate, carbohydrates and metabolites involved in nitrate assimilation, and the medium pH. Starch and the sum of Glucose,
Protein. Protein and Roles 1: biological process unknown 1.1 Structural categories 1.2 organism categories 1.3 cellular component o unlocalized.
Figure S1 (a) (b) Fig. S1. Hydroponics culture of Arabidopsis thaliana. (a) Illustration of the hydroponics system in the growth chamber. (b) close-up.
Figure 1. Gene expression analysis
A) b) Supplementary Figure 1A: Significance plot(a) and forest plot(b) for the most significant SNP for regions of interest from the meta-analysis of IGP29.
Additional file 8: Estimation of biological variations
High molecular weight hyaluronic acid down-regulates the gene expression of osteoarthritis-associated cytokines and enzymes in fibroblast-like synoviocytes.
Volume 13, Issue 7, Pages (November 2015)
Analysis of the deep-sequencing data.
Ratio distributions of gene expression in each trisomy and ploidy compared with diploids. Ratio distributions of gene expression in each trisomy and ploidy.
Volume 2, Issue 4, Pages (April 2008)
Transcriptional response to mating in whole A. gambiae females.
Volume 138, Issue 4, Pages (August 2009)
HIS-24 regulates expression of infection-inducible genes.
Volume 11, Issue 2, Pages (August 2012)
by Holger Weishaupt, Mikael Sigvardsson, and Joanne L. Attema
Roger B. Deal, Steven Henikoff  Developmental Cell 
Volume 10, Issue 5, Pages (May 2018)
Shiran Bar, Maya Schachter, Talia Eldar-Geva, Nissim Benvenisty 
Genome-Wide Analysis of PLT2 Binding to Target Genes.
Volume 35, Issue 2, Pages (July 2009)
Volume 28, Issue 2, Pages (August 2015)
Identification and Validation of Genetic Variants that Influence Transcription Factor and Cell Signaling Protein Levels  Ronald J. Hause, Amy L. Stark,
The Translational Landscape of the Mammalian Cell Cycle
m6A Facilitates eIF4F-Independent mRNA Translation
Volume 2, Issue 2, Pages (February 2008)
Volume 12, Issue 6, Pages (December 2003)
Schematic of cellular role categories of theoretical (open bars) and identified proteins on a 2-D electrophoresis gel, pH 4–7 (black bars), in L. casei.
Volume 126, Issue 6, Pages (September 2006)
Volume 7, Issue 9, Pages (September 2014)
Low-temperature-associated proteomes.
Volume 20, Issue 5, Pages (November 2016)
John Smestad, Luke Erber, Yue Chen, L. James Maher
A Combinatorial Kin Discrimination System in Bacillus subtilis
An RpaA-Dependent Sigma Factor Cascade Sets the Timing of Circadian Transcriptional Rhythms in Synechococcus elongatus  Kathleen E. Fleming, Erin K. O’Shea 
Genome-wide analysis of p53 occupancy.
Volume 56, Issue 5, Pages (December 2014)
Volume 16, Issue 4, Pages (November 2004)
Volume 67, Issue 6, Pages e6 (September 2017)
Pangenomes and core genomes of 13 M. florum strains.
Shiran Bar, Maya Schachter, Talia Eldar-Geva, Nissim Benvenisty 
Volume 25, Issue 16, Pages (August 2015)
Volume 22, Issue 3, Pages (January 2018)
Mycobacterium tuberculosis Invasion of Macrophages: Linking Bacterial Gene Expression to Environmental Cues  Kyle H. Rohde, Robert B. Abramovitch, David.
Determination of mRNA synthesis and decay rates.
Core promoter methylation in mediators of adipogenesis.
Volume 42, Issue 6, Pages (June 2011)
Log- to stationary-phase growth results in differential acetyl abundance on specific proteins. Log- to stationary-phase growth results in differential.
Volume 67, Issue 6, Pages e9 (September 2017)
Volume 2, Issue 5, Pages (May 2016)
Comparison of N. gonorrhoeae gene expression in infected men in vivo and isolates grown in vitro. Comparison of N. gonorrhoeae gene expression in infected.
Volume 47, Issue 1, Pages (July 2012)
GATC sites where methylation changes over time correspond to a change in gene expression in a dam mutant. GATC sites where methylation changes over time.
Volume 11, Issue 3, Pages (April 2015)
Functional classification and visualization of differentially expressed genes. Functional classification and visualization of differentially expressed.
Jacob Stewart-Ornstein, Jonathan S. Weissman, Hana El-Samad 
Presentation transcript:

Cell lineXY11q WM WM793-P WM793-P Lu ABAB WM793:WM793-P2WM793:1205-Lu WM793 WM793:WM793-P1 Supplemental Figure S1. Ploidy of WM793 series. A, FISH analysis on the WM793 series using chromosome X (DXZ1), Y (DYZ1) and 11q probes. The number of copies of each probe (labelled with different flours) was counted in individual cells and averaged. B, flow cytometric analysis of the WM793 series. DNA content is reflected across the X-axis (propidium iodide staining). Cell counts are indicated on the Y-axis. To determine alteration in ploidy from the parental cells, the derivative cells were mixed at equal ratios with WM793 cells prior to flow sorting. Supplemental data S1. Gallagher et al.

Supplemental data S2. Gallagher et al. A B Supplemental Figure S2. A, Correlation curves for TaqMan LDAs for biological replicates of WM793, WM793-P1, WM793-P2 and 1205-Lu. Correlation coefficients range from 0.91 to B, Correlation between DNA microarrays and TaqMan LDAs. The Log 10 values of the fold difference for derivative cell lines compared to the parental WM793 cells are plotted. Data derived from DNA microarray experiments (Y axis) are plotted against TaqMan LDA experiments (X axis). The values in pink indicate genes that exhibit the same directionality in terms of altered gene expression, as compared to the parental cell lines, using both technologies. Blue indicates genes that exhibit different directionality between the two approaches. Spearman rho correlation coefficients range from 0.30 to 0.90 and all are significant Lu V WM793 Spearman’s rho correlation coefficient = 0.30, p=0.02 WM793-P1 V WM793 Spearman’s rho correlation coefficient = 0.90, p<0.001 WM793-P2 V WM793 Spearman’s rho correlation coefficient = 0.68, p<0.001

*** WM793 WM793 + DAC WM793-P1 WM793-P1 + DAC WM793-P2 WM793-P2 + DAC 1205-Lu 1205-Lu + DAC %5mC ABAB 1205-Lu 1205-Lu + DAC WM793-P2 WM793-P2 + DAC WM793-P1 WM793-P1 + DAC WM793 WM793 + DAC Supplemental Figure S3. Global DNA methylation status in the WM793 series. A, measurement of 5mC content by high performance capillary electrophoresis. B, 5mC content as a percentage of the total cytosine pool, mC peak area * 100/(mC peak area + C peak area). Results are expressed as mean values with standard errors of the mean represented by bars. A Student t test was performed for each comparison of untreated and DAC treated cells; *** indicates the difference is highly significant, as indicated by a P value < C C C C Supplemental data S3. Gallagher et al.

Biological Process GO slim categories in Genome transport metabolism biological process physiological process development cell communication cell cycle response to stress cell motility death Biological Process GO slim categories on Array transport metabolism biological process physiological process development cell communication cell cycle response to stress cell motility death motor activity transcription regulator activity nucleic acid binding molecular function unknown signal transducer activity binding catalytic activity transporter activity enzyme regulator activity structural molecule activity motor activity transcription regulator activity nucleic acid binding molecular function unknown signal transducer activity binding catalytic activity transporter activity structural molecule activity enzyme regulator activity Molecular Function GO slim categories in Genome Molecular Function GO slim categories in Array Cellular Component GO slim categories in GenomeCellular Component GO slim categories in Arrays cell extracellular region cellular component unknown external encapsulating structure unlocalised protein complex cell extracellular region cellular component unknown external encapsulating structure unlocalised protein complex Supplemental data S4. Gallagher et al. A B C D Supplemental Figure S4. Comparison of genes on the HuGeneFL array to the whole genome. Pie charts represent the (A) biological process, (B) molecular function, and (C) cellular component information, under Gene Onotology (GO) terminology, of cohort of genes in the whole genome and represented by the HuGeneFL array used in our studies. D, comparison of the number of genes per chromosome on the array compared to the number of genes per chromosome in the whole genome; and number of GO classes that the genes on each chromosome represent.