Chemokines gene expression of RAW 264.7 cells by Actinobacillus actinomycetemcomitans lipopolysaccharide using microarray and RT-PCR analysis

2009 ◽  
Vol 27 (2) ◽  
pp. 257-261 ◽  
Author(s):  
Jin Chung ◽  
Mun Jeoung Choi ◽  
So Yeon Jeong ◽  
Jong Suk Oh ◽  
Hyung Keun Kim
Keyword(s):  
Gene Expression ◽  
Actinobacillus Actinomycetemcomitans ◽  
Raw 264.7 Cells ◽  
Pcr Analysis ◽  
Raw 264.7 ◽  
Rt Pcr

Cloning of rabbit prolactin cDNA and prolactin gene expression in the rabbit mammary gland

1996 ◽  
Vol 16 (1) ◽  
pp. 27-37 ◽  
Author(s):  
L Gabou ◽  
M Boisnard ◽  
I Gourdou ◽  
H Jammes ◽  
J-P Dulor ◽  
...  
Keyword(s):  
Gene Expression ◽  
Mammary Gland ◽  
Amino Acid ◽  
Untranslated Regions ◽  
Pcr Analysis ◽  
Cdna Clones ◽  
Rt Pcr ◽  
Prolactin Gene ◽  
New Zealand White Rabbits ◽  
Rna Probe

ABSTRACT cDNA clones coding for rabbit prolactin were isolated from a pituitary library using a rat prolactin RNA probe. One cDNA contained 873 bases including the entire coding sequence of rabbit prolactin, its signal peptide and the 5′ and 3′ untranslated regions of 44 and 145 nucleotides respectively. The deduced amino acid sequence of the cloned prolactin cDNA presented a 93–78% identity with mink, porcine and human prolactins. The prolactin gene transcription was investigated by RT-PCR analysis in several organs of midlactating New Zealand White rabbits. The ectopic transcription of the prolactin gene was examined in more detail in the mammary gland. A strong PCR signal was detected in the mammary gland of virgin does and was also observed during pregnancy and at the beginning of lactation. This PCR signal was very weak in mid-lactating and absent in post-weaning mammary gland.

scholarly journals Febrile-range temperature modifies cytokine gene expression in LPS-stimulated macrophages by differentially modifying NF-κB recruitment to cytokine gene promoters

2010 ◽  
Vol 298 (1) ◽  
pp. C171-C181 ◽  
Author(s):  
Zachary A. Cooper ◽  
Arundhati Ghosh ◽  
Aditi Gupta ◽  
Tapan Maity ◽  
Ivor J. Benjamin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Receptor Activation ◽  
Cytokine Gene Expression ◽  
Raw 264.7 Cells ◽  
Raw 264.7 ◽  
Heat Shock Factor 1 ◽  
Gene Promoters ◽  
Cytokine Gene ◽  
Tnf Α

We previously showed that exposure to febrile-range temperatures (FRT, 39.5–40°C) reduces LPS-induced TNF-α expression, in part through the direct interaction of heat shock factor-1 (HSF1) with the TNF-α gene promoter. However, it is not known whether exposure to FRT also modifies more proximal LPS-induced signaling events. Using HSF1-null mice, we confirmed that HSF1 is required for FRT-induced repression of TNF-α in vitro by LPS-stimulated bone marrow-derived macrophages and in vivo in mice challenged intratracheally with LPS. Exposing LPS-stimulated RAW 264.7 mouse macrophages to FRT reduced TNF-α expression while increasing IL-1β expression despite the two genes sharing a common myeloid differentiation protein-88 (MyD88)-dependent pathway. Global activation of the three LPS-induced signaling intermediates that lead to cytokine gene expression, ERK and p38 MAPKs and NF-κB, was not affected by exposing RAW 264.7 cells to FRT as assessed by ERK and p38 phosphorylation and NF-κB in vitro DNA-binding activity and activation of a NF-κB-dependent synthetic promoter. However, chromatin immunoprecipitation (ChIP) analysis demonstrated that exposure to FRT reduced LPS-induced recruitment of NF-κB p65 to the TNF-α promoter while simultaneously increasing its recruitment to the IL-1β promoter. These data suggest that FRT exerts its effects on cytokine gene expression in a gene-specific manner through distal effects on promoter activation rather than proximal receptor activation and signal transduction.

cDNA microarray analysis of the gene expression of murine leukemia RAW 264.7 cells after exposure to propofol

2011 ◽  
Vol 28 (8) ◽  
pp. 471-478 ◽  
Author(s):  
Rick Sai-Chuen Wu ◽  
Kuo-Ching Liu ◽  
Nou-Ying Tang ◽  
Hsiung-Kwang Chung ◽  
Siu-Wan Ip ◽  
...  
Keyword(s):  
Gene Expression ◽  
Microarray Analysis ◽  
Cdna Microarray ◽  
Raw 264.7 Cells ◽  
Raw 264.7 ◽  
Cdna Microarray Analysis ◽  
Murine Leukemia

scholarly journals Microdissection RT-PCR Analysis of Gene Expression in Pathologically Defined Frozen Tissue Sections

BioTechniques ◽  
1996 ◽  
Vol 21 (1) ◽  
pp. 38-44 ◽  
Author(s):  
Tamara Hiller ◽  
Linda Snell ◽  
Peter H. Watson
Keyword(s):  
Gene Expression ◽  
Pcr Analysis ◽  
Rt Pcr ◽  
Tissue Sections ◽  
Frozen Tissue

The critical role of surgical pathology in personalized medicine: The impact of biopsy cavities in breast cancer samples on recurrence risk when assessed by quantitative RT-PCR

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. e22016-e22016
Author(s):  
F. L. Baehner ◽  
J. Anderson ◽  
C. Millward ◽  
C. Sangli ◽  
C. Quale ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Gene Expression ◽  
Expression Profiles ◽  
Critical Role ◽  
Recurrence Score ◽  
Pcr Analysis ◽  
Breast Cancers ◽  
Rt Pcr ◽  
Poorly Differentiated ◽  
The Impact

e22016 Background: Tumor gene expression analysis using the Recurrence Score (RS) assay is frequently used in ER+ breast cancer. Manual microdissection is performed in cases where biopsy cavities (BxC) are present in the submitted specimen. The objective of this was to characterize by quantitative RT-PCR the impact of BxC on 21 gene expression profiles and the RS. Methods: 48 (15 well, 18 moderate, and 15 poorly differentiated) breast cancers were evaluated for gene expression differences between whole sections (WS; containing BxC) and enriched tumor (ET; BxC excluded). Standardized quantitative RT-PCR analysis for the 21 Oncotype DX genes was performed; reference normalized gene expression measurements ranged from 0 to 15, where each 1-unit reflects an approximate 2-fold change in RNA. Analyses of individual genes and the RS were performed on the entire sample set and stratified by tumor grade. Correlation analyses used Pearson's R, concordance analysis used Lin's sample concordance and paired t- tests to characterize differences. Results: There were statistically significant differences in reference normalized gene expression between ET and WS in 6 genes: BAG1 (ET-WS: 0.13 units, p=0.0025), CD68 (ET-WS: -0.64 units, p<0.0001), ER (ET-WS: 0.29 units, p=0.0012), GSTM1 (ET-WS: 0.18 units p=0.0025), STK15 (ET-WS: -0.18 units, p=0.0041) and STMY3 (ET-WS: 0.62 units, p<0.0001). Expression of the macrophage marker CD68 was higher and expression of ER was lower in WS containing BxC. The correlation (0.95) and concordance (0.92) were generally high between WS and ET for RS overall however among moderately differentially tumors, there was a statistically significant mean increase in RS for WS of 3.3 units (p = 0.0012) while among poorly differentiated tumors there was a trend toward a statistically significant decrease in RS for WS of 2.2 units (p=0.0569). Conclusions: Histologic identification of invasive carcinoma and exclusion of BxC is essential for precise RS assessment. Inclusion of BxC in breast cancer specimens is associated with significant changes in the expression of individual genes and impacts the RS. Removal of BxC from breast cancer specimens assessed for gene expression levels is warranted. [Table: see text]

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