Effect of particulate matter 2.5 on gene expression profile and cell signaling in JEG-3 human placenta cells

2018 ◽  
Vol 33 (11) ◽  
pp. 1123-1134 ◽  
Author(s):  
Woong Kim ◽  
Yoon Cho ◽  
Mi-Kyung Song ◽  
Jung-hee Lim ◽  
Jin young Kim ◽  
...  
Keyword(s):  
Gene Expression ◽  
Particulate Matter ◽  
Cell Signaling ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Human Placenta ◽  
Particulate Matter 2.5

scholarly journals Total particulate matter concentration skews cigarette smoke's gene expression profile

2016 ◽  
Vol 2 (4) ◽  
pp. 00029-2016 ◽  
Author(s):  
Anna Dvorkin-Gheva ◽  
Gilles Vanderstocken ◽  
Ali Önder Yildirim ◽  
Corry-Anke Brandsma ◽  
Ma'en Obeidat ◽  
...  
Keyword(s):  
Gene Expression ◽  
Particulate Matter ◽  
Cigarette Smoke ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Smoke Exposure ◽  
Cigarette Smoke Exposure ◽  
Chronic Obstructive ◽  
Total Particulate Matter ◽  
Xenobiotic Detoxification

Exposure of small animals to cigarette smoke is widely used as a model to study the pathogenesis of chronic obstructive pulmonary disease. However, protocols and exposure systems utilised vary substantially and it is unclear how these different systems compare.We analysed the gene expression profile of six publically available murine datasets from different cigarette smoke-exposure systems and related the gene signatures to three clinical cohorts.234 genes significantly regulated by cigarette smoke in at least one model were used to construct a 55-gene network containing 17 clusters. Increasing numbers of differentially regulated clusters were associated with higher total particulate matter concentrations in the different datasets. Low total particulate matter-induced genes mainly related to xenobiotic/detoxification responses, while higher total particulate matter activated immune/inflammatory processes in addition to xenobiotic/detoxification responses. To translate these observations to the clinic, we analysed the regulation of the revealed network in three human cohorts. Similar to mice, we observed marked differences in the number of regulated clusters between the cohorts. These differences were not determined by pack-year.Although none of the experimental models exhibited a complete alignment with any of the human cohorts, some exposure systems showed higher resemblance. Thus, depending on the cohort, clinically observed changes in gene expression may be mirrored more closely by specific cigarette smoke exposure systems. This study emphasises the need for careful validation of animal models.

Novel model to evaluate changes in gene expression profile of myeloma cells in vivo following interaction with human BM microenvironment

2006 ◽  
Vol 24 (18_suppl) ◽  
pp. 7613-7613
Author(s):  
E. P. Neri ◽  
P. Tassone ◽  
M. Shammas ◽  
Y. Tai ◽  
S. Blotta ◽  
...  
Keyword(s):  
Gene Expression ◽  
Bone Marrow ◽  
Cell Growth ◽  
Cell Signaling ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Novel Agents ◽  
Bone Chip

7613 Background: Interaction between multiple myeloma (MM) cells and the bone marrow (BM) microenvironment plays a critical role in promoting MM cell growth, survival, migration and development of drug resistance. This interaction within the bone marrow milieu is unique and its understanding is important in evaluating effects of novel agents in vitro and in vivo. We here describe a novel murine model that allows us to study the in vivo expression changes in MM cells within the human BM milieu. Methods: In our model, BM stromal and IL-6-dependent human MM cell line, INA-6, tranduced with green fluorescent protein (INA-6 GFP+) was injected in human fetal bone chip implanted into SCID mice. At different time points the bone chip was retrieved, cells flushed out and GFP+ MM cells were separated by flow cytometry or purified by CD138 MACS microbeads. Similar isolation process was used on INA-6 GFP+ cells cultured in vitro and used as control. Total RNA was isolated from these cells and gene expression profile analyzed using the HG-U133 array chip (Affymetrix). Results: We report that interaction between INA-6 cells and the BM microenvironment in vivo induced significant changes in expression profile; specifically, we observed up-regulation of genes implicated in cell growth; DNA transcription; chromosome structure; cell-cell signaling and adhesion. We also observed down-regulation of genes involved in apoptosis and cell death. To determine which biological pathways are modulated by interaction between MM cells and human stroma, all genes were subjected to Ingenuity Pathway Analysis. Our results indicate that the most relevant pathways modulated by the interaction between MM cells with BMSCs are involved in cell-cycle regulation, apoptosis and integrin signaling, as well as with IL-6, IGF1 and PI3K/AKT, p38-MAPK and ERK/MAPK-mediated pathways. These results are consistent with previously observed in vitro cell signaling studies. Conclusions: Taken together these results highlight the ability of BM microenvironment to modulate the gene expression profile of the MM cells in vivo. This model now provides us with an opportunity to study in vivo effects of novel agents on MM cells expression profile, to pre-clinically characterize their activity. No significant financial relationships to disclose.

Gene expression profile in laboring and non-laboring human placenta near term

2006 ◽  
Vol 195 (6) ◽  
pp. S197
Author(s):  
Vasilis Sitras ◽  
Ruth H. Paulssen ◽  
Halvor Grønaas ◽  
Ganesh Acharya
Keyword(s):  
Gene Expression ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Human Placenta ◽  
Near Term

scholarly journals Gene expression profile in labouring and non-labouring human placenta near term

2007 ◽  
Vol 14 (1) ◽  
pp. 61-65 ◽  
Author(s):  
V. Sitras ◽  
R.H. Paulssen ◽  
H. Gronaas ◽  
A. Vartun ◽  
G. Acharya
Keyword(s):  
Gene Expression ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Human Placenta ◽  
Near Term

Gene Expression Profile in Persons Exposed to the WTC With and Without PTSD

2009 ◽  
Author(s):  
Rachel Yehuda ◽  
Julia Golier ◽  
Sandro Galea ◽  
Marcus Ising ◽  
Florian Holsborer ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profile ◽  
Expression Profile
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