Gene Expression and Biological Processes Influenced By Deletion of Stat3 in pulmonary Alveolar Type II Cells

From ArrayWiki

(Redirected from GSE6846)
Jump to: navigation, search
PubMed ID: none
Contact: Yan Xu

Image:email_GSE6846.png
Cincinnati Children's Hospital Medical Center

Species: Mus musculus
Platform: Affymetrix GeneChip Mouse Genome 430 2.0 Array
Number of Samples: 6
Date Range: 06/22/2005 - 06/22/2005
Experiment Quality: 97.78
1.46 %
Link to Repository: GSE6846
Original Intensity Data: Download
Clean Intensity Data: Download
Original PLIER Data: Download
Clean PLIER Data: Download
Clean CEL Files:
Data Rank:

Deletion of Stat3 induced genes influencing protein metabolism, transport, chemotaxis and apoptosis and decreased the expression of genes mediating lipid synthesis and metabolism. Srebf1 and 2, key regulators of fatty acid and steroid biosynthesis, were decreased in Stat3D/D mice. Stat3 influenced both pro- and anti-apoptotic pathways, regulating and maintaining the balance between a subset of pro- and anti-apoptotic genes that determine cell death or survival. Akt, a known target of Stat3, participates in many Stat3 mediated pathways including Jak-Stat signaling, apoptosis, the MAPK signaling, cholesterol and fatty acid biosynthesis. Deletion of Stat3 from type II epithelial cells altered the expression of genes regulating diverse cellular processes, including cell growth and apoptosis, lipid biosynthesis and metabolism. Stat3 regulates cell formation through a complex regulatory network that likely enhances alveolar epithelial cell survival and surfactant/lipid synthesis, necessary for the protection of the lung during injury.

Design: To better understand the roles and molecular mechanisms by which Stat3 influences gene expression in lung, the effect of cell-selective deletion of Stat3 (Stat3D/D) on genome wide mRNA expression profiles was determined in murine type II alveolar epithelial cells. Differentially expressed genes were identified from Affymetrix Murine GeneChips analysis and subjected to gene ontology classification promoter analysis, pathway mapping and literature mining.

Type: genotype comparison


Contents

[edit] Contributors

  • Yan Xu
  • Machiko Ikegami
  • Yanhua Wang
  • Yohei Matsuzaki
  • Jeffrey A Whitsett

[edit] Protocols

[edit] References

[edit] Links

GEO Accession for this experiment: GSE6846. (Public on Aug 24 2007)

RAW data: tar file.

[edit] Analysis

[edit] Samples/Quality Control

Sample Date Scanned Source Link Probe Variance Data Artifact Mask Quality Score
Knockout CS_2_9_KO_1 06/22/05 13:25:06 GSM157806 Probe variance for  Knockout CS_2_9_KO_1 Artifact mask for  Knockout CS_2_9_KO_1 97.0954
3.54 %
Knockout CS_2_15_KO_2 06/22/05 13:04:33 GSM157807 Probe variance for  Knockout CS_2_15_KO_2 Artifact mask for  Knockout CS_2_15_KO_2 97.9074
1.01 %
Knockout CS_MA_5_11_KO_3 06/22/05 13:56:09 GSM157834 Probe variance for  Knockout CS_MA_5_11_KO_3 Artifact mask for  Knockout CS_MA_5_11_KO_3 98.1428
0.27 %
Wild-type CS_12_29_1_WT_1 06/22/05 13:35:27 GSM157835 Probe variance for  Wild-type CS_12_29_1_WT_1 Artifact mask for  Wild-type CS_12_29_1_WT_1 97.613
0.29 %
Wild-type CS_12_29_2_WT_2 06/22/05 13:45:47 GSM157836 Probe variance for  Wild-type CS_12_29_2_WT_2 Artifact mask for  Wild-type CS_12_29_2_WT_2 98.1304
3.44 %
Wild-type CS_2_16_WT_3 06/22/05 13:14:40 GSM157837 Probe variance for  Wild-type CS_2_16_WT_3 Artifact mask for  Wild-type CS_2_16_WT_3 97.7686
0.23 %