(A) Outline of the malignant transformation process.

Slides:



Advertisements
Similar presentations
Microtubule perturbations affect pathway variability η2(P) and transmitted signal P at or upstream of the Ste5 recruitment step Microtubule perturbations.
Advertisements

Telomerase activity in smooth‐muscle cells increases lifespan and extends telomeres. Telomerase activity in smooth‐muscle cells increases lifespan and.
Statistical analysis of the influence of network regulators on topology clusters in the oleate network. Statistical analysis of the influence of network.
Analysis of mutational effects of parameters on the phenotype (i. e
Most promoters preserve their relative activity levels across conditions. Most promoters preserve their relative activity levels across conditions. (A)
(A) Graph depicting interaction between the five regulatory motifs measured by synergy and cooccurrence. (A) Graph depicting interaction between the five.
Sensitivity of RNA‐seq.
Analysis of in silico flux changes along the exponential growth phase: (A) In silico flux changes from 24 to 36 h, from 36 to 48 h, and from 48 to 60 h.
Motif detectability corresponds to the phylogenetic profile of the cognate transcription factor. Motif detectability corresponds to the phylogenetic profile.
Characterization of the inferred factor associated with the differentiation state of the cell of origin Characterization of the inferred factor associated.
(C–F) Complete interaction networks (representing both baits and preys) for selected groups of baits. (C–F) Complete interaction networks (representing.
Dynamic expression patterns for selected regulators and markers
Identification of progenitor states in human cord blood hematopoiesis
The TBON model. The TBON model. (A) Representative confocal images of E14Tg2A cells stained for Tcf3 (green), Nanog (red), Oct4 (magenta), and total β‐catenin.
Volume 138, Issue 4, Pages (August 2009)
Topological overlap matrix (TOM) plots of weighted, gene coexpression networks constructed from one mouse studies (A–F) and four human studies including.
Clustering of CD34+ single cells
Comparative analysis of RNA and protein profiles.
Large‐scale image‐based CRISPR‐Cas9 gene perturbation profiling
Dual LGR5 and KI67 knock‐in PDOs enable separation of quiescent and cycling LGR5+ CRC cells Dual LGR5 and KI67 knock‐in PDOs enable separation of quiescent.
Transcriptional dynamics during lineage commitment
Genomic profiling of fitness in periodic salt stress
Integrated protein co‐expression and differential expression across the ALS‐FTD disease continuum Integrated protein co‐expression and differential expression.
PD‐L1 silencing in antigen presenting DCs results in hyperactivated pro‐inflammatory TCRhigh CD8+ T cells. PD‐L1 silencing in antigen presenting DCs results.
Changes to the growth conditions break the circuit by changing host gene expression Changes to the growth conditions break the circuit by changing host.
Prediction of novel cell cycle inhibitors based on CODIM1.
Lysozyme expression in isolated Paneth cells and linage tracing of Notch1+ cells Lysozyme expression in isolated Paneth cells and linage tracing of Notch1+
Effect of the loss of Kar4 on the induction of various promoters
Bisection mapping of T7. RNAP
Patient organoids respond more diverse to drugs and with lower therapeutic potential than 2D cultured patient cells Patient organoids respond more diverse.
The cell cycle influences circadian phase progression Circadian intervals with divisions (p1,d1,p2) last 21.95 ± 3.8 h (n = 1,926) and are significantly.
Drug‐induced cell death and proliferation inhibition can be quantified from serial confocal images Drug‐induced cell death and proliferation inhibition.
Notch activation in Notch1 positive feedback knock‐out intestine organoids Notch activation in Notch1 positive feedback knock‐out intestine organoids Intestine.
QRT–PCR analysis of tissue‐specific candidate gene expression in response to reduced IIS qRT–PCR analysis of tissue‐specific candidate gene expression.
Antisense transcription, measurement, and correction
Allele‐specific expression at single‐cell resolution
Transcriptomic and epigenetic changes associated with Factor 1 in the scMT data Transcriptomic and epigenetic changes associated with Factor 1 in the scMT.
Categorizing cell type‐specific auxin responses.
Impact of growth phase on the Escherichia coli meltome and proteome
Simulation showing that the cell length variability of the entire population can mask abnormal cell length variability at a specific cell cycle period.
Transformation of expression data to identify more direct consequences of perturbation Expression changes under amino acid starvation conditions (30 min,
An integrated NHR network.
Design and optimization of the computational model.
Large‐scale image‐based CRISPR‐Cas9 gene perturbation profiling
Subnetworks enriched for the hallmarks of cancer.
Population kinetics and simulation of E2 induction. Related to Fig 4
Network modules correspond to known and novel functional distinctions between neuronal subtypes. Network modules correspond to known and novel functional.
PKA mediates the primary transcriptional response of cells to glucose.
Distinct collagen structures in the upper and lower neonatal dermis (related to Fig 1)‏ Distinct collagen structures in the upper and lower neonatal dermis.
Reproducibility of DeathPro drug screens
Cluster analysis of all identified models.
Direct Pou5f1 and Pou5f1/Sox transcriptional targets have spatially restricted expression domains. Direct Pou5f1 and Pou5f1/Sox transcriptional targets.
Melting behavior of protein complexes
Characterising dermis expansion and gene expression changes during mouse development (related to Fig 1)‏ Characterising dermis expansion and gene expression.
In vivo imaging of the wound bed at later time points (related to Fig 7)‏ In vivo imaging of the wound bed at later time points (related to Fig 7) A–CRepresentative.
TIPI mediates rapid degradation of proteins in yeast.
Nedd4 proteins. Nedd4 proteins. (A) Schematic representation of rNedd4‐1, hNedd4‐1 and hNedd4‐2 (not to scale), with % amino‐acid identity between them.
Antisense expression associates with larger gene expression variability. Antisense expression associates with larger gene expression variability. (A–D)
Global and focused views of human interaction map.
BT_0370 galactokinase and BT_371 glucose/galactose transporter
Patterns and regulation of age‐related splicing changes.
Correlation of flux and enzyme concentration (inferred from transcripts) changes for reactions in central metabolism. Correlation of flux and enzyme concentration.
Model of differentiation from pluripotent stem cells to terminal dopaminergic neurons Model of differentiation from pluripotent stem cells to terminal.
Transection of the chorda tympani depletes acinar cells at 7 days
Pou5f1 is required for proper developmental timing of gene expression.
Many of the diseases associated with high coevolution scores share genetic components. Many of the diseases associated with high coevolution scores share.
Inhibitory effect of perhexiline on the proliferation of the HepG2 cell line A, BPerhexiline was used to mimic the effect of the l‐carnitine analog on.
Topologies, synthetic implementations and expression profiles of the networks studied Topologies, synthetic implementations and expression profiles of.
Profiling of the TCRB-MYB cases by large-scale gene expression analysis. Profiling of the TCRB-MYB cases by large-scale gene expression analysis. (A) Heat.
Microarray analysis of global gene expression profiles of PC-3 and derivative cell lines. Microarray analysis of global gene expression profiles of PC-3.
Presentation transcript:

(A) Outline of the malignant transformation process. (A) Outline of the malignant transformation process. Schematic representation of the spontaneous (young, senescent, immortal, tumorigenic, INK4A methylation) and induced (hTERT, H‐Ras, p53 inactivation) modifications of the WI‐38 cells along the process of malignant transformation. The stages chosen for microarray profiling are indicated by boxes with numerals corresponding to columns in the expression matrix shown in (B). The time scale of the process is depicted by a horizontal axis, and the corresponding population doublings are represented by PDLs. (B) The normalized expression levels of the 168 genes in the proliferation cluster at 12 stages spanning the transformation process. Normalized expression level is color‐coded according to the color bar on the right. The table below the matrix contains the following information on each sample: days in culture, geometric mean and standard deviation of expression level of the cluster's genes, doubling rate (cell cycle doublings/day) of cells at selected stages, activity of hTERT (designated as ‘+’ for all samples following hTERT overexpression), activity of p53, as inferred from the application of its dominant‐negative peptide, GSE56 (‘−’ indicates expression of GSE56). Here and throughout the paper, the following cell line designations are introduced: cells are either young or senescent; grow slow or fast; a sample name followed by ‘G’ denotes the application of GSE56; T before sample names indicates the presence of the immortalizing telomerase; R following the sample name indicates the insertion of Ras. Yuval Tabach et al. Mol Syst Biol 2005;1:2005.0022 © as stated in the article, figure or figure legend