scholarly journals Gene Expression Analysis of the IPEC-J2 Cell Line: A Simple Model for the Inflammation-Sensitive Preterm Intestine

ISRN Genomics ◽  
2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Ann Cathrine F. Støy ◽  
Peter M. H. Heegaard ◽  
Per T. Sangild ◽  
Mette V. Østergaard ◽  
Kerstin Skovgaard
Keyword(s):  
Gene Expression ◽  
Simple Model ◽  
Cell Line ◽  
Expression Profile ◽  
Principal Component ◽  
Pcr Analysis ◽  
Milk Formula ◽  
Intestinal Tissue ◽  
Tissue Samples ◽  
Cell Form

The IPEC-J2 cell line was studied as a simple model for investigating responses of the newborn intestinal epithelium to diets. Especially, the small intestine of immature newborns is sensitive to diet-induced inflammation. We investigated gene expression of epithelial- and immune response-related genes in IPEC-J2 cells stimulated for 2 h with milk formula (CELL-FORM), colostrum (CELL-COLOS), or growth medium (CELL-CONTR) and in distal small intestinal tissue samples from preterm pigs fed milk formula (PIG-FORM) or colostrum (PIG-COLOS). High throughput quantitative PCR analysis of 48 genes revealed the expression of 22 genes in IPEC-J2 cells and 31 genes in intestinal samples. Principal component analysis (PCA) discriminated the gene expression profile of IPEC-J2 cells from that of intestinal samples. The expression profile of intestinal tissue was separated by PCA into 2 groups according to diet, whereas no diet-dependent grouping was seen for IPEC-J2 cells. Expression differences between PIG-FORM and PIG-COLOS were found for DEFB1, CXCL10, IL1RN, and ALPI, while IL8 was upregulated in CELL-FORM compared with CELL-CONTR. These differences, between IPEC-J2 cells and intestinal tissue from preterm pigs, both used as models for the newborn intestine, underline that caution must be exercised prior to analysis and interpretation of diet-induced effects on gene expression.

scholarly journals MIF inhibition reverts the gene expression profile of human melanoma cell line-induced MDSCs to normal monocytes

Genomics Data ◽  
2016 ◽  
Vol 7 ◽  
pp. 240-242 ◽  
Author(s):  
Sabine Waigel ◽  
Beatriz E. Rendon ◽  
Gwyneth Lamont ◽  
Jamaal Richie ◽  
Robert A. Mitchell ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Line ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Melanoma Cell ◽  
Melanoma Cell Line ◽  
Human Melanoma ◽  
Human Melanoma Cell Line ◽  
Human Melanoma Cell

scholarly journals Differentiation of Sendai Virus-Reprogrammed iPSC into β Cells, Compared with Human Pancreatic Islets and Immortalized β Cell Line

2018 ◽  
Vol 27 (10) ◽  
pp. 1548-1560 ◽  
Author(s):  
Silvia Pellegrini ◽  
Fabio Manenti ◽  
Raniero Chimienti ◽  
Rita Nano ◽  
Linda Ottoboni ◽  
...  
Keyword(s):  
Gene Expression ◽  
Pancreatic Islets ◽  
Cell Line ◽  
Expression Profile ◽  
Sendai Virus ◽  
Secretory Function ◽  
Β Cells ◽  
Β Cell ◽  
Insulin Producing Cells ◽  
Gene And Protein Expression

Background: New sources of insulin-secreting cells are strongly in demand for treatment of diabetes. Induced pluripotent stem cells (iPSCs) have the potential to generate insulin-producing cells (iβ). However, the gene expression profile and secretory function of iβ still need to be validated in comparison with native β cells. Methods: Two clones of human iPSCs, reprogrammed from adult fibroblasts through integration-free Sendai virus, were differentiated into iβ and compared with donor pancreatic islets and EndoC-βH1, an immortalized human β cell line. Results: Both clones of iPSCs differentiated into insulin+ cells with high efficiency (up to 20%). iβ were negative for pluripotency markers (Oct4, Sox2, Ssea4) and positive for Pdx1, Nkx6.1, Chromogranin A, PC1/3, insulin, glucagon and somatostatin. iβ basally secreted C-peptide, glucagon and ghrelin and released insulin in response either to increasing concentration of glucose or a depolarizing stimulus. The comparison revealed that iβ are remarkably similar to donor derived islets in terms of gene and protein expression profile and similar level of heterogeneity. The ability of iβ to respond to glucose instead was more related to that of EndoC-βH1. Discussion: We demonstrated that insulin-producing cells generated from iPSCs recapitulate fundamental gene expression profiles and secretory function of native human β cells.

scholarly journals WWOX modulates the gene expression profile in the T98G glioblastoma cell line rendering its phenotype less malignant

2014 ◽  
Vol 32 (4) ◽  
pp. 1362-1368 ◽  
Author(s):  
KATARZYNA KOŚLA ◽  
MAGDALENA NOWAKOWSKA ◽  
KAROLINA POSPIECH ◽  
ANDRZEJ K. BEDNAREK
Keyword(s):  
Gene Expression ◽  
Cell Line ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Glioblastoma Cell Line ◽  
Glioblastoma Cell

scholarly journals Temporal Changes in Gene Expression Profile during Mature Adipocyte Dedifferentiation

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Julie Anne Côté ◽  
Frédéric Guénard ◽  
Julie Lessard ◽  
Marc Lapointe ◽  
Simon Biron ◽  
...  
Keyword(s):  
Gene Expression ◽  
Cell Cycle ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Cellular Proliferation ◽  
Matrix Remodeling ◽  
Mature Adipocyte ◽  
Tissue Samples ◽  
Ceiling Culture ◽  
Isolated Adipocytes

Objective. To characterize changes in gene expression profile during human mature adipocyte dedifferentiation in ceiling culture.Methods. Subcutaneous (SC) and omental (OM) adipose tissue samples were obtained from 4 participants paired for age and BMI. Isolated adipocytes were dedifferentiated in ceiling culture. Gene expression analysis at days 0, 4, 7, and 12 of the cultures was performed using Affymetrix Human Gene 2.0 STvi arrays. Hierarchical clustering according to similarity of expression changes was used to identify overrepresented functions.Results. Four clusters gathered genes with similar expression between day 4 to day 7 but decreasing expression from day 7 to day 12. Most of these genes coded for proteins involved in adipocyte functions (LIPE,PLIN1,DGAT2,PNPLA2,ADIPOQ,CEBPA,LPL,FABP4,SCD,INSR, andLEP). Expression of several genes coding for proteins implicated in cellular proliferation and growth or cell cycle increased significantly from day 7 to day 12 (WNT5A,KITLG, andFGF5). Genes coding for extracellular matrix proteins were differentially expressed between days 0, 4, 7, and 12 (COL1A1,COL1A2, andCOL6A3,MMP1, andTGFB1).Conclusion. Dedifferentiation is associated with downregulation of transcripts encoding proteins involved in mature adipocyte functions and upregulation of genes involved in matrix remodeling, cellular development, and cell cycle.

scholarly journals Gene expression in the human mammary epithelium during lactation: the milk fat globule transcriptome

2009 ◽  
Vol 37 (1) ◽  
pp. 12-22 ◽  
Author(s):  
Patricia D. Maningat ◽  
Partha Sen ◽  
Monique Rijnkels ◽  
Agneta L. Sunehag ◽  
Darryl L. Hadsell ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gene Expression Profile ◽  
Expression Profile ◽  
Milk Fat ◽  
Mammary Epithelium ◽  
Specific Gene ◽  
Molecular Physiology ◽  
Tissue Samples ◽  
Milk Fat Globule ◽  
Fat Globule

The molecular physiology underlying human milk production is largely unknown because of limitations in obtaining tissue samples. Determining gene expression in normal lactating women would be a potential step toward understanding why some women struggle with or fail at breastfeeding their infants. Recently, we demonstrated the utility of RNA obtained from breast milk fat globule (MFG) to detect mammary epithelial cell (MEC)-specific gene expression. We used MFG RNA to determine the gene expression profile of human MEC during lactation. Microarray studies were performed using Human Ref-8 BeadChip arrays (Illumina). MFG RNA was collected every 3 h for 24 h from five healthy, exclusively breastfeeding women. We determined that 14,070 transcripts were expressed and represented the MFG transcriptome. According to GeneSpring GX 9, 156 ontology terms were enriched (corrected P < 0.05), which include cellular ( n = 3,379 genes) and metabolic ( n = 2,656) processes as the most significantly enriched biological process terms. The top networks and pathways were associated primarily with cellular activities most likely involved with milk synthesis. Multiple sampling over 24 h enabled us to demonstrate core circadian clock gene expression and the periodicity of 1,029 genes (7%) enriched for molecular functions involved in cell development, growth, proliferation, and cell morphology. In addition, we found that the MFG transcriptome was comparable to the metabolic gene expression profile described for the lactating mouse mammary gland. This paper is the first to describe the MFG transcriptome in sequential human samples over a 24 h period, providing valuable insights into gene expression in the human MEC.

scholarly journals Pheno-RNA, a method to identify genes linked to a specific phenotype: application to cellular transformation

2020 ◽  
Author(s):  
Rabih Darwiche ◽  
Kevin Struhl
Keyword(s):  
Gene Expression ◽  
Cell Line ◽  
Candidate Genes ◽  
Expression Profile ◽  
Expression Profiles ◽  
Transcriptional Profiling ◽  
Cellular Transformation ◽  
Breast Cell Line ◽  
Highly Correlated

ABSTRACTCellular transformation is associated with dramatic changes in gene expression, but it is difficult to determine which regulated genes are oncogenically relevant. Here, we describe Pheno-RNA, a general approach to identify candidate genes associated with a specific phenotype. Specifically, we generate a “phenotypic series” by treating a non-transformed breast cell line with a wide variety of molecules that induce cellular transformation to various extents. By performing transcriptional profiling across this phenotypic series, the expression profile of every gene can be correlated with the transformed phenotype. We identify ~200 genes whose expression profiles are very highly correlated with the transformation phenotype, strongly suggesting their importance in transformation. Within biological categories linked to cancer, some genes show high correlations with the transformed phenotype, but others do not. Many genes whose expression profiles are highly correlated with transformation have never been linked to cancer, suggesting the involvement of heretofore unknown genes in cancer.

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