Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Expression data from "A patient-derived cell atlas of glioblastoma informs precision targeting of the proteasome" (Johansson et al, Cell Reports, 2020)

ABSTRACT: We analysed gene expression levels in a panel of pharmacologically patient derived glioblastoma cell lines. The purpose of the experiment was to provide gene expression data for predictive modeling of drug responses. For more information about the Human Glioma Cell Culture (HGCC) resource, see portal.hgcc.se.

ORGANISM(S): Homo sapiens

PROVIDER: GSE152160 | GEO | 2020/07/14

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Expression data from "A patient-derived cell atlas of glioblastoma informs precision targeting of the proteasome" (Johansson et al, Cell Reports, 2020)

Project description:Expression data from "A patient-derived cell atlas of glioblastoma informs precision targeting of the proteasome" (Johansson et al, Cell Reports, 2020)

| PRJNA638435 | ENA

Disseminated melanoma cells transdifferentiate into endothelial cells in intravascular niches at metastatic sites (Li et al. 2020, Cell Reports)

Project description:Here, we combined lineage tracing in a newly developed spontaneous metastatic mouse model of melanoma, advanced imaging and single-cell RNA-sequencing approaches to search for (patho) physiologically-relevant melanoma cellular states. We identified a population of reporter-positive melanoma cells located in intravascular niches of various metastatic organs. These intravascular metastatic cells were dormant, negative for characteristic melanoma markers and acquired endothelial cell markers.

2020-04-15 | GSE148666 | GEO

Discussion of Kallus (2020) and Mo et al (2020).

Project description:We discuss the results on improving the generalizability of individualized treatment rule following the work in Kallus [1] and Mo et al. [5]. We note that the advocated weights in Kallus [1] are connected to the efficient score of the contrast function. We further propose a likelihood-ratio-based method (LR-ITR) to accommodate covariate shifts, and compare it to the CTE-DR-ITR method proposed in Mo et al. [5]. We provide the upper-bound on the risk function of the target population when both the covariate shift and the contrast function shift are present. Numerical studies show that LR-ITR can outperform CTE-DR-ITR when there is only covariate shift.

| S-EPMC8409173 | biostudies-literature

Harbort&Hashimoto et al. 2020

Project description:Root-secreted coumarins and the microbiota interact to improve iron nutrition in Arabidopsis. Harbort and Hashimoto et al. Cell Host & Microbe 2020

| PRJEB38663 | ENA

Pragmatics for infants: commentary on Wenzel et al. (2020).

Project description: Not available

| S-EPMC8170227 | biostudies-literature

Reply to Soman et al, Alffenaar et al, Metcalfe et al, and Raoult.

Project description: Not available

| S-EPMC4696596 | biostudies-literature

Cryobiopsy Compared with Surgical Lung Biopsy in ILD: Reply to Maldonado et al., Froidure et al., Bendstrup et al., Agarwal et al., Richeldi et al., Rajchgot et al., and Quadrelli et al.

Project description: Not available

| S-EPMC6812448 | biostudies-literature

Reply to Turnbull et al. and to Hulme et al.

Project description: Not available