Properties of proteins and residues with frequent hotspot mutations

Slides:



Advertisements
Similar presentations
SI-II A SI-II. Expression analysis of bladder cancer functionally active genes and significantly mutated genes. Comprehensive transcriptome profiling of.
Advertisements

Figure 1. Exploring and comparing context-dependent mutational profiles in various cancer types. (A) Mutational profiles of pan-cancer somatic mutations,
Positioning of the TGF‐β3 and BMP receptor complexes on a membrane surface. Positioning of the TGF‐β3 and BMP receptor complexes on a membrane surface.
The Functional Impact of Alternative Splicing in Cancer
Mutant EGFR complexes in lung cancer cell lines and immortalized human bronchial epithelial cells. Mutant EGFR complexes in lung cancer cell lines and.
Statistical analysis of the influence of network regulators on topology clusters in the oleate network. Statistical analysis of the influence of network.
Network topology reflects target gene expression profile and function.
Inferred dynamic model of transcriptional regulatory network.
Analysis of mutational effects of parameters on the phenotype (i. e
Hnf4g importance in human colon cancer organoids and regulation of the Hnf4a locus Hnf4g importance in human colon cancer organoids and regulation of the.
Amino‐acid sequence of the heterogeneous nuclear RNP G protein family and RNA‐binding SELEX consensus sequence obtained for human RBMY. (A) Sequence alignment.
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.
Analysis of the deep-sequencing data.
Motif detectability corresponds to the phylogenetic profile of the cognate transcription factor. Motif detectability corresponds to the phylogenetic profile.
Heatmaps of the gene mutation distributions in oncogene‐signaling blocks for six representative cancer types. Heatmaps of the gene mutation distributions.
Proteins with hotspot mutations are often in the interaction networks with known cancer driver proteins Proteins with hotspot mutations are often in the.
Comparative analysis of RNA and protein profiles.
Spatial proximity of genes affects mRNA but not protein regulation
Hierarchical structure in the yeast transcription regulatory network.
Volume 46, Issue 6, Pages (June 2012)
Prospects for Riboswitch Discovery and Analysis
Expression and occupancy of a set of transcription factors corresponding to the identified motifs at FAIRE peaks Expression and occupancy of a set of transcription.
The MSP domain of MOSPD2 binds the FFAT motif
Supplemental Figure S4. Expression changes of phased and non-phased siRNAs among the three tissues examined The expression changes of phased and non-phased.
Phosphosite mutations in TP53 correlate with increased patient survival. Phosphosite mutations in TP53 correlate with increased patient survival. (A) ActiveDriver.
Heat maps showing global relative growth phenotype and comparison between measured and predicted values. Heat maps showing global relative growth phenotype.
The Functional Impact of Alternative Splicing in Cancer
Volume 33, Issue 4, Pages (February 2009)
The transcript profiles in the three human cell lines based on RNA sequencing (RNA‐seq). The transcript profiles in the three human cell lines based on.
Dynamic changes of protein phosphorylation identify ERK1/2 substrates from cytosolic and nuclear compartments. Dynamic changes of protein phosphorylation.
Examples for intrachromosomal mRNA co‐regulation patches
Pan-Cancer Analysis of Mutation Hotspots in Protein Domains
Novel functional roles of uncharacterized genes as functional regulators of cellular cholesterol levels. Novel functional roles of uncharacterized genes.
Bar plot representation of the transcriptomic changes in Δsaci_ptp and Δsaci_pp2a. Bar plot representation of the transcriptomic changes in Δsaci_ptp and.
Sequence alignment of PHCCEx domains with secondary structure elements of the Tiam2 PHCCEx domain at the top. Sequence alignment of PHCCEx domains with.
Neurogenins induce a network of transcription factors that mediate iNGN neurogenesisA network of transcription factors involved in iNGN neurogenesis was.
Comparison of proteomics and RNA‐Seq data.
Categorizing cell type‐specific auxin responses.
DominoEffect R package
Transformation of expression data to identify more direct consequences of perturbation Expression changes under amino acid starvation conditions (30 min,
RND efflux operons in P. aeruginosa.
An integrated NHR network.
Design and optimization of the computational model.
Subnetworks enriched for the hallmarks of cancer.
CD44 binding surface of the Tiam2 PHCCEx domain.
Network modules correspond to known and novel functional distinctions between neuronal subtypes. Network modules correspond to known and novel functional.
Example transcript and protein patterns.
Identification of a new cryptic lipid‐binding domain in Ecm25.
Figure 7. Expression changes of phased and non-phased siRNAs among the three tissues examined The expression changes of phased and non-phased siRNAs between.
Antisense‐mediated regulation of SUR7.
Features of the LIMT gene and RNA abundance in cell lines of different tissues of origin Features of the LIMT gene and RNA abundance in cell lines of different.
Melting behavior of protein complexes
Nedd4 proteins. Nedd4 proteins. (A) Schematic representation of rNedd4‐1, hNedd4‐1 and hNedd4‐2 (not to scale), with % amino‐acid identity between them.
Structure of the BRCT Repeats of BRCA1 Bound to a BACH1 Phosphopeptide
Correlations between metabolic pathway abundances and environmental conditions deduced from the ocean samples in this study, at various levels of model.
Patterns and regulation of age‐related splicing changes.
Intestinal differentiation is coupled with global rewiring of gene expression Intestinal differentiation is coupled with global rewiring of gene expression.
Maria S. Robles, Sean J. Humphrey, Matthias Mann  Cell Metabolism 
Squamous Cell Cancers: A Unified Perspective on Biology and Genetics
Annoted amino acid sequence of Aedes aegypti gliotactin (Gli).
LC8 is structurally variable but conserved in sequence.
Analysis of LC8-binding and nonbinding motifs reveals distinct positional preferences. Analysis of LC8-binding and nonbinding motifs reveals distinct positional.
Volume 12, Issue 3, Pages (March 2019)
Just the Beginning: Novel Functions for Angiotensin-Converting Enzymes
Correlation of miR-21 expression levels with DEGs in 28 bladder cancer cell lines. Correlation of miR-21 expression levels with DEGs in 28 bladder cancer.
HPV–human protein network map.
Distinct subtypes of CAFs are detected in human PDAC
EZH2-driven lung cancer as a molecularly distinct entity.
Mutational load and mutations in the interferon signaling pathway among patients with advanced melanoma with or without response to anti–PD-1 blockade.
Presentation transcript:

Properties of proteins and residues with frequent hotspot mutations Properties of proteins and residues with frequent hotspot mutations A high fraction of the sequenced samples (i.e., 36%) have at least one of the detected hotspot residues mutated. Strong contributors to this signal are the listed known cancer drivers with hotspots. Hotspots in one or more of these proteins are mutated in 27% of the analyzed tumor samples.Proteins with hotspot mutations (dark cyan) have a higher fraction of enzymes than other proteins in the Cancer Gene Census (light red, P < 0.015) or all other human proteins (dark green, ***P < 10−4, chi‐squared test). Color representation of proteins from the three sets follows the same scheme on all the following figures.Protein domains that are significantly overrepresented among the proteins with hotspot mutations compared to the non‐cancer background proteins (adjusted P ≤ 0.01, Fisher's test).Protein annotations (GO terms) that are overrepresented among the proteins with hotspots compared to the non‐cancer background proteins (adjusted P < 10−4, Fisher's test). Transcription factor binding and several other terms related to regulation of gene expression are more abundant among the other proteins in the Cancer Gene Census than among the genes with hotspots.Hotspot mutations that mapped to the functionally similar protein segments in two or more different proteins are classified depending on whether the mutation occurred within a protein domain with an enzymatic function (first column), another region in the protein that can mediate binding to other proteins, nucleic acids, ligands or lipids, or in a region that contains a signaling motif or a transmembrane segment.Examples of individual proteins of interest. PCBP1, RXRA, and CARM1 are functionally related to cancer‐relevant processes and have hotspot mutations (dark red circles) within the RNA binding KH domain, ligand‐binding segment, and enzymatic domain, respectively. Other missense mutations in these proteins are depicted as blue circles. Pfam protein domains encoded by these genes are shown as colored boxes. Marija Buljan et al. Mol Syst Biol 2018;14:e7974 © as stated in the article, figure or figure legend