Presentation is loading. Please wait.

Presentation is loading. Please wait.

Predicting drug sensitivity from proteomic (RPPA) data clusters.

Published byGianmaria Rocchi Modified over 5 years ago

Similar presentations

Presentation on theme: "Predicting drug sensitivity from proteomic (RPPA) data clusters."— Presentation transcript:

1 Predicting drug sensitivity from proteomic (RPPA) data clusters.
Predicting drug sensitivity from proteomic (RPPA) data clusters. (A) Proteomic data of the 10 most variable (phospho)proteins across the cell line panel. Unsupervised hierarchical clustering reveals two distinct groups of cell lines with either high PTEN and low AKTS473 or vice versa. (B, C) Principal component analysis of proteomic data. The two AKTS473/PTEN clusters separate in the first principal component, which is dominated by AKT pathway signals. (D) Mutually exclusive expression of PTEN and AKTS473. (E) Drug AUCs shown separately for cell lines in the AKTS473/PTEN clusters. Only the AKT inhibitor ipatasertib (GDC-0068), which was included as a control, showed a differential response between the two clusters. Mattias Rydenfelt et al. LSA 2019;2:e © 2019 Rydenfelt et al.

Download ppt "Predicting drug sensitivity from proteomic (RPPA) data clusters."

Similar presentations

Volume 19, Issue 5, Pages (May 2017)

Volume 19, Issue 5, Pages (May 2017)
Volume 18, Issue 13, Pages (March 2017)

Volume 18, Issue 13, Pages (March 2017)
Key differences in protein expression and pathway activation between SCLCs and NSCLCs. A, for each cell line, protein lysates were collected and analyzed.

Key differences in protein expression and pathway activation between SCLCs and NSCLCs. A, for each cell line, protein lysates were collected and analyzed.
Low Dimensionality in Gene Expression Data Enables the Accurate Extraction of Transcriptional Programs from Shallow Sequencing  Graham Heimberg, Rajat.

Low Dimensionality in Gene Expression Data Enables the Accurate Extraction of Transcriptional Programs from Shallow Sequencing  Graham Heimberg, Rajat.
(A) Heat map showing expression changes during in vitro differentiation of nscs to astrocytes. (A) Heat map showing expression changes during in vitro.

(A) Heat map showing expression changes during in vitro differentiation of nscs to astrocytes. (A) Heat map showing expression changes during in vitro.
Genetic alterations in the PI3K–PTEN–AKT pathway detected during disease progression and their functional impacts. Genetic alterations in the PI3K–PTEN–AKT.

Genetic alterations in the PI3K–PTEN–AKT pathway detected during disease progression and their functional impacts. Genetic alterations in the PI3K–PTEN–AKT.
Figure 3 Defects in the T cell receptor signalling pathway

Figure 3 Defects in the T cell receptor signalling pathway
RNA-seq analysis of iWAT and eWAT.

RNA-seq analysis of iWAT and eWAT.
A Flt3L Encounter: mTOR Signaling in Dendritic Cells

A Flt3L Encounter: mTOR Signaling in Dendritic Cells
Cell-Line Selectivity Improves the Predictive Power of Pharmacogenomic Analyses and Helps Identify NADPH as Biomarker for Ferroptosis Sensitivity  Kenichi.

Cell-Line Selectivity Improves the Predictive Power of Pharmacogenomic Analyses and Helps Identify NADPH as Biomarker for Ferroptosis Sensitivity  Kenichi.
AKT dependence of ovarian cancer cell lines.

AKT dependence of ovarian cancer cell lines.
Patient neural progenitors show a neurodevelopmental phenotype.

Patient neural progenitors show a neurodevelopmental phenotype.
ITRAQ analysis of the global soluble proteome shows effects of butyrate and presence of an adenoma. iTRAQ analysis of the global soluble proteome shows.

ITRAQ analysis of the global soluble proteome shows effects of butyrate and presence of an adenoma. iTRAQ analysis of the global soluble proteome shows.
Chromatin binding sites shared by pCREB1 and ERα are predominantly cAMP induced. Chromatin binding sites shared by pCREB1 and ERα are predominantly cAMP.

Chromatin binding sites shared by pCREB1 and ERα are predominantly cAMP induced. Chromatin binding sites shared by pCREB1 and ERα are predominantly cAMP.
Deletion of Lats1 is phenotypically distinct from Lats2 deletion in PyMT tumors. Deletion of Lats1 is phenotypically distinct from Lats2 deletion in PyMT.

Deletion of Lats1 is phenotypically distinct from Lats2 deletion in PyMT tumors. Deletion of Lats1 is phenotypically distinct from Lats2 deletion in PyMT.
MITF upregulation leads to Hsp90i resistance

MITF upregulation leads to Hsp90i resistance
P.J. Fanning, C.M. Raskett, N.H. Farina, D.C. Ayers, J.B. Lian 

P.J. Fanning, C.M. Raskett, N.H. Farina, D.C. Ayers, J.B. Lian 
Volume 18, Issue 1, Pages (January 2017)

Volume 18, Issue 1, Pages (January 2017)
BIRC6 is expressed in the tumorigenic Aldefluorhigh fraction of colonosphere cells. BIRC6 is expressed in the tumorigenic Aldefluorhigh fraction of colonosphere.

BIRC6 is expressed in the tumorigenic Aldefluorhigh fraction of colonosphere cells. BIRC6 is expressed in the tumorigenic Aldefluorhigh fraction of colonosphere.
Characterization of differentially expressed proteins based on their COG classification. Characterization of differentially expressed proteins based on.

Characterization of differentially expressed proteins based on their COG classification. Characterization of differentially expressed proteins based on.

Similar presentations

Ads by Google