Presentation is loading. Please wait.

Presentation is loading. Please wait.

Protein–lipid map in yeast.

Published byJessica Bradford Modified over 5 years ago

Similar presentations

Presentation on theme: "Protein–lipid map in yeast."— Presentation transcript:

1 Protein–lipid map in yeast.
Protein–lipid map in yeast. The table displays all interactions color coded according to the number of experimental supports: reproducibility with proteins expressed in homologous and heterologous systems, binding to artificial (liposome) and biological (live‐cell imaging) membranes and genetic interactions. The data set is provided as Supplementary information (Supplementary Tables S2C and S4; see also Supplementary Data 1). The bar charts show the fraction of novel interactions per lipid or protein classes for which supporting evidence is available. The total numbers of novel interactions are displayed next to each bar. The pie charts represent the fraction of conserved proteins. PtdInsP, phosphatidylinostitol phosphate; GPL, glycerophospholipid; SL, sphingolipid; FA, fatty acid; GL, glycerolipid; S&P, sterol and prenol. Oriol Gallego et al. Mol Syst Biol 2010;6:430 © as stated in the article, figure or figure legend

Download ppt "Protein–lipid map in yeast."

Similar presentations

Tuning the response of the DPI

Tuning the response of the DPI
Abundance of proteins matching selected subcellular locations and functions in CaCo‐2 cells. Abundance of proteins matching selected subcellular locations.

Abundance of proteins matching selected subcellular locations and functions in CaCo‐2 cells. Abundance of proteins matching selected subcellular locations.
Mutant EGFR complexes in lung cancer cell lines and immortalized human bronchial epithelial cells. Mutant EGFR complexes in lung cancer cell lines and.

Mutant EGFR complexes in lung cancer cell lines and immortalized human bronchial epithelial cells. Mutant EGFR complexes in lung cancer cell lines and.
Experimental confirmation of in vitro GPCR activity of compounds and their scaffolds screened from a chemical library. Experimental confirmation of in.

Experimental confirmation of in vitro GPCR activity of compounds and their scaffolds screened from a chemical library. Experimental confirmation of in.
Melting behavior of protein complexes

Melting behavior of protein complexes
Inferred dynamic model of transcriptional regulatory network.

Inferred dynamic model of transcriptional regulatory network.
Quantitative proteomics reveals daf‐16‐mediated reduction in protein metabolism in long‐lived daf‐2(e1370) mutants. Quantitative proteomics reveals daf‐16‐mediated.

Quantitative proteomics reveals daf‐16‐mediated reduction in protein metabolism in long‐lived daf‐2(e1370) mutants. Quantitative proteomics reveals daf‐16‐mediated.
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.

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.
Illustration of the reactions and metabolites obtained from random sampling. Illustration of the reactions and metabolites obtained from random sampling.

Illustration of the reactions and metabolites obtained from random sampling. Illustration of the reactions and metabolites obtained from random sampling.
Tight regulation of gene expression variation is coupled to promoter architecture. Tight regulation of gene expression variation is coupled to promoter.

Tight regulation of gene expression variation is coupled to promoter architecture. Tight regulation of gene expression variation is coupled to promoter.
Heatmaps of the gene mutation distributions in oncogene‐signaling blocks for six representative cancer types. Heatmaps of the gene mutation distributions.

Heatmaps of the gene mutation distributions in oncogene‐signaling blocks for six representative cancer types. Heatmaps of the gene mutation distributions.
Predicted and measured double‐ring formation.

Predicted and measured double‐ring formation.
(C–F) Complete interaction networks (representing both baits and preys) for selected groups of baits. (C–F) Complete interaction networks (representing.

(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

Dynamic expression patterns for selected regulators and markers
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.

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.
Comparative analysis of RNA and protein profiles.

Comparative analysis of RNA and protein profiles.
Highly correlating interaction profiles can predict functional similarity Highly correlating interaction profiles can predict functional similarity AROC.

Highly correlating interaction profiles can predict functional similarity Highly correlating interaction profiles can predict functional similarity AROC.
Targetable vulnerabilities revealed through genetic interactions.

Targetable vulnerabilities revealed through genetic interactions.
Model training of generalized Lotka–Volterra (gLV) to time‐resolved measurements of monospecies and pairwise assemblages Model training of generalized.

Model training of generalized Lotka–Volterra (gLV) to time‐resolved measurements of monospecies and pairwise assemblages Model training of generalized.
Luminex phosphorylation measurements are reproducible and have broad dynamic range Individual difference in insulin‐induced phosphorylation of ERK measured.

Luminex phosphorylation measurements are reproducible and have broad dynamic range Individual difference in insulin‐induced phosphorylation of ERK measured.

Similar presentations

Ads by Google