Browse
Submit Data
Databases
API
Help

Dataset Information

15 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Phosphoinositide pathway and the signal transduction network in neural development.

ABSTRACT: The development of the nervous system is under the strict control of a number of signal transduction pathways, often interconnected. Among them, the phosphoinositide (PI) pathway and the related phospholipase C (PI-PLC) family of enzymes have been attracting much attention. Besides their well-known role in the regulation of intracellular calcium levels, PI-PLC enzymes interact with a number of molecules belonging to further signal transduction pathways, contributing to a specific and complex network in the developing nervous system. In this review, the connections of PI signalling with further transduction pathways acting during neural development are discussed, with special regard to the role of the PI-PLC family of enzymes.

SUBMITTER: Lo Vasco VR

PROVIDER: S-EPMC5561820 | biostudies-other | 2012 Dec

REPOSITORIES: biostudies-other

ACCESS DATA

Json Xml

Similar Datasets

The emerging role of phosphoinositide clustering in intracellular trafficking and signal transduction.

Project description: Not available

| S-EPMC4821294 | biostudies-literature

Signal transduction pathway of TonB-dependent transporters.

Project description: Not available

| S-EPMC1760641 | biostudies-literature

The Hippo signal transduction network for exercise physiologists.

Project description: Not available

| S-EPMC4867322 | biostudies-literature

Bacterial signal transduction network in a genomic perspective.

Project description: Not available

| S-EPMC1414778 | biostudies-literature

IMPACT: Unraveling intracellular signal transduction and pathway crosstalk by exploring pathway landscape

Project description:Understanding complicated modularization and crosstalk of intracellular signal transduction pathways holds the key to battle against drug resistance in human cancer research. We propose an integrative approach, namely Inferring Modularization of PAthway CrossTalk (IMPACT), to identify aberrant pathway modules and their between-module crosstalk by exploring pathway landscape that is reconstructed from a sampling strategy. The pathway identification method (i.e., IMPACT) was applied to breast cancer data to uncover aberrant pathway modules, which were further investigated with cell line studies to understand drug resistance in breast cancer. The patient datasets we mentioned are published and are available in the GEO database as GSE6532 and GSE17705. The re-processed GSE6532 and GSE17705 patient datasets are linked below as supplementary files. The GSE6532_matrix.txt and GSE17705_matrix.txt are processed by Affy Gene console with plier as normailization. But importantly, we also used 'Combat' method (http://www.bu.edu/jlab/wp-assets/ComBat/Abstract.html) to remove potential institutional batch effect. Four MCF7 derived cell models were included in the study: MCF7-STR, MCF7RR-STR, LCC1 and LCC2 cell lines. MCF7-STR and MCF7RR-STR were grown in phenol red-free IMEM supplemented with 5% charcoal-stripped calf serum and 1nM estradiol for 72 h prior to RNA extraction. LCC1 and LCC2 cells were grown in phenol red-free IMEM supplemented with 5% charcoal-stripped calf serum. The cell line data were used to validate computational results derived from patient datasets.

2013-09-07 | E-GEOD-50564 | biostudies-arrayexpress

Wnt signal transduction pathway and apoptosis: a review.

Project description: Not available

| S-EPMC2908610 | biostudies-literature

Signal transduction pathway profiling of individual tumor samples.

Project description: Not available

| S-EPMC1184060 | biostudies-literature

IMPACT: Unraveling intracellular signal transduction and pathway crosstalk by exploring pathway landscape

2013-09-07 | GSE50564 | GEO

Wnt signal transduction pathways: modules, development and evolution.

Project description: Not available

| S-EPMC4977476 | biostudies-literature