scholarly journals Noninvasive stool-based detection of infant gastrointestinal development using gene expression profiles from exfoliated epithelial cells

2010 ◽  
Vol 298 (5) ◽  
pp. G582-G589 ◽  
Author(s):  
Robert S. Chapkin ◽  
Chen Zhao ◽  
Ivan Ivanov ◽  
Laurie A. Davidson ◽  
Jennifer S. Goldsby ◽  
...  
Keyword(s):  
Gene Expression ◽  
Epithelial Cells ◽  
Transcriptional Activation ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Coefficient Of Determination ◽  
Data Sets ◽  
Developmentally Regulated ◽  
Linear Discriminant ◽  
And Function

We have developed a novel molecular methodology that utilizes stool samples containing intact sloughed epithelial cells to quantify intestinal gene expression profiles in the developing human neonate. Since nutrition exerts a major role in regulating neonatal intestinal development and function, our goal was to identify gene sets (combinations) that are differentially regulated in response to infant feeding. For this purpose, fecal mRNA was isolated from exclusively breast-fed ( n = 12) and formula-fed ( n = 10) infants at 3 mo of age. Linear discriminant analysis was successfully used to identify the single genes and the two- to three-gene combinations that best distinguish the feeding groups. In addition, putative “master” regulatory genes were identified using coefficient of determination analysis. These results support our premise that mRNA isolated from stool has value in terms of characterizing the epigenetic mechanisms underlying the developmentally regulated transcriptional activation/repression of genes known to modulate gastrointestinal function. As larger data sets become available, this methodology can be extended to validation and, ultimately, identification of the main nutritional components that modulate intestinal maturation and function.

Spatial Transcriptomics analysis of uterine gene expression in enhancer of Zeste homolog 2 (Ezh2) conditional knockout mice

2021 ◽  
Author(s):  
Ana M Mesa ◽  
Jiude Mao ◽  
Theresa I Medrano ◽  
Nathan J Bivens ◽  
Alexander Jurkevich ◽  
...  
Keyword(s):  
Gene Expression ◽  
Epithelial Cells ◽  
Expression Profiles ◽  
Expression Patterns ◽  
Gene Expression Profiles ◽  
Reproductive Organs ◽  
Conditional Knockout ◽  
Estrogen Signaling ◽  
Uterine Epithelial Cell ◽  
Stromal Tissue

Abstract Histone proteins undergo various modifications that alter chromatin structure, including addition of methyl groups. Enhancer of homolog 2 (EZH2), is a histone methyltransferase that methylates lysine residue 27, and thereby, suppresses gene expression. EZH2 plays integral role in the uterus and other reproductive organs. We have previously shown that conditional deletion of uterine EZH2 results in increased proliferation of luminal and glandular epithelial cells, and RNAseq analyses reveal several uterine transcriptomic changes in Ezh2 conditional (c) knockout (KO) mice that can affect estrogen signaling pathways. To pinpoint the origin of such gene expression changes, we used the recently developed spatial transcriptomics (ST) method with the hypotheses that Ezh2cKO mice would predominantly demonstrate changes in epithelial cells and/or ablation of this gene would disrupt normal epithelial/stromal gene expression patterns. Uteri were collected from ovariectomized adult WT and Ezh2cKO mice and analyzed by ST. Asb4, Cxcl14, Dio2, and Igfbp5 were increased, Sult1d1, Mt3, and Lcn2 were reduced in Ezh2cKO uterine epithelium vs. WT epithelium. For Ezh2cKO uterine stroma, differentially expressed key hub genes included Cald1, Fbln1, Myh11, Acta2, and Tagln. Conditional loss of uterine Ezh2 also appears to shift the balance of gene expression profiles in epithelial vs. stromal tissue toward uterine epithelial cell and gland development and proliferation, consistent with uterine gland hyperplasia in these mice. Current findings provide further insight into how EZH2 may selectively affect uterine epithelial and stromal compartments. Additionally, these transcriptome data might provide the mechanistic understanding and valuable biomarkers for human endometrial disorders with epigenetic underpinnings.

Combining Nearest Neighbor Classifiers Versus Cross-Validation Selection

2004 ◽  
Vol 3 (1) ◽  
pp. 1-19 ◽  
Author(s):  
Minhui Paik ◽  
Yuhong Yang
Keyword(s):  
Gene Expression ◽  
Cross Validation ◽  
Nearest Neighbor ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Data Sets ◽  
Weighting Method ◽  
Considerable Uncertainty ◽  
Combined Classifier ◽  
Nearest Neighbor Classifiers

Various discriminant methods have been applied for classification of tumors based on gene expression profiles, among which the nearest neighbor (NN) method has been reported to perform relatively well. Usually cross-validation (CV) is used to select the neighbor size as well as the number of variables for the NN method. However, CV can perform poorly when there is considerable uncertainty in choosing the best candidate classifier. As an alternative to selecting a single “winner," we propose a weighting method to combine the multiple NN rules. Four gene expression data sets are used to compare its performance with CV methods. The results show that when the CV selection is unstable, the combined classifier performs much better.

scholarly journals The effects of a globin blocker on the resolution of 3’mRNA sequencing data in porcine blood

BMC Genomics ◽  
2019 ◽  
Vol 20 (1) ◽  
Author(s):  
Kyu-Sang Lim ◽  
Qian Dong ◽  
Pamela Moll ◽  
Jana Vitkovska ◽  
Gregor Wiktorin ◽  
...  
Keyword(s):  
Gene Expression ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Data Sets ◽  
Globin Genes ◽  
Sequencing Data ◽  
Globin Mrna ◽  
Data Set ◽  
Mrna Sequencing ◽  
Porcine Blood

Abstract Background Gene expression profiling in blood is a potential source of biomarkers to evaluate or predict phenotypic differences between pigs but is expensive and inefficient because of the high abundance of globin mRNA in porcine blood. These limitations can be overcome by the use of QuantSeq 3’mRNA sequencing (QuantSeq) combined with a method to deplete or block the processing of globin mRNA prior to or during library construction. Here, we validated the effectiveness of QuantSeq using a novel specific globin blocker (GB) that is included in the library preparation step of QuantSeq. Results In data set 1, four concentrations of the GB were applied to RNA samples from two pigs. The GB significantly reduced the proportion of globin reads compared to non-GB (NGB) samples (P = 0.005) and increased the number of detectable non-globin genes. The highest evaluated concentration (C1) of the GB resulted in the largest reduction of globin reads compared to the NGB (from 56.4 to 10.1%). The second highest concentration C2, which showed very similar globin depletion rates (12%) as C1 but a better correlation of the expression of non-globin genes between NGB and GB (r = 0.98), allowed the expression of an additional 1295 non-globin genes to be detected, although 40 genes that were detected in the NGB sample (at a low level) were not present in the GB library. Concentration C2 was applied in the rest of the study. In data set 2, the distribution of the percentage of globin reads for NGB (n = 184) and GB (n = 189) samples clearly showed the effects of the GB on reducing globin reads, in particular for HBB, similar to results from data set 1. Data set 3 (n = 84) revealed that the proportion of globin reads that remained in GB samples was significantly and positively correlated with the reticulocyte count in the original blood sample (P < 0.001). Conclusions The effect of the GB on reducing the proportion of globin reads in porcine blood QuantSeq was demonstrated in three data sets. In addition to increasing the efficiency of sequencing non-globin mRNA, the GB for QuantSeq has an advantage that it does not require an additional step prior to or during library creation. Therefore, the GB is a useful tool in the quantification of whole gene expression profiles in porcine blood.

scholarly journals The origin, fate and function of macrophages in the peripheral nervous system—an update

2020 ◽  
Vol 32 (11) ◽  
pp. 709-717 ◽  
Author(s):  
Lukas Amann ◽  
Marco Prinz
Keyword(s):  
Gene Expression ◽  
Nervous System ◽  
Rna Sequencing ◽  
Peripheral Nervous System ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
New Techniques ◽  
Macrophage Populations ◽  
And Function ◽  
First Time

Abstract The field of macrophage biology has made enormous progress over recent years. This was triggered by the advent of several new techniques such as the establishment of Cre/loxP-based transgenic mouse models that allowed for the first time delineation of the ontogeny and function of specific macrophage populations across many tissues. In addition, the introduction of new high-throughput technologies like bulk RNA sequencing and later single-cell RNA sequencing as well as advances in epigenetic analysis have helped to establish gene expression profiles, enhancer landscapes and local signaling cues that define and shape the identity of diverse macrophage populations. Nonetheless, some macrophage populations, like the ones residing in the peripheral nervous system (PNS), have not been studied in such detail yet. Here, we discuss recent studies that shed new light on the ontogeny, heterogeneity and gene expression profiles of resident macrophages in peripheral nerves and described differential activation of macrophage subsets during and after acute sciatic nerve injury.

Effect of tobacco compounds on gene expression profiles in human epithelial cells

2009 ◽  
Vol 27 (1) ◽  
pp. 111-119 ◽  
Author(s):  
Sung-Hwa Sohn ◽  
Jaebum Lee ◽  
Ki-Nam Kim ◽  
In kyoung Kim ◽  
Meyoung-Kon Kim
Keyword(s):  
Gene Expression ◽  
Epithelial Cells ◽  
Expression Profiles ◽  
Gene Expression Profiles ◽  
Human Epithelial Cells
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