Epithelial Cell Gene Expression Induced by IntracellularStaphylococcus aureus

HEp-2 cell monolayers were cocultured with intracellularStaphylococcus aureus, and changes in gene expression were profiled using DNA microarrays. IntracellularS. aureusaffected genes involved in cellular stress responses, signal transduction, inflammation, apoptosis, fibrosis, and cholesterol biosynthesis. Transcription of stress response and signal transduction-related genes includingatf3, sgk, map2k1, map2k3, arhb, andarhewas increased. In addition, elevated transcription of proinflammatory genes was observed fortnfa, il1b, il6, il8, cxcl1, ccl20, cox2,andpai1. Genes involved in proapoptosis and fibrosis were also affected at transcriptional level by intracellularS. aureus. Notably, intracellularS. aureusinduced strong transcriptional down-regulation of several cholesterol biosynthesis genes. These results suggest that epithelial cells respond to intracellularS. aureusby inducing genes affecting immunity and in repairing damage caused by the organism, and are consistent with the possibility that the organism exploits an intracellular environment to subvert host immunity and promote colonization.

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TNF-alpha- and IFN-gamma-mediated signal transduction pathways: effects on glial cell gene expression and function.

The FASEB Journal ◽

10.1096/fasebj.9.15.8529837 ◽

1995 ◽

Vol 9 (15) ◽

pp. 1577-1584 ◽

Cited By ~ 114

Author(s):

E N Benveniste ◽

D J Benos

Keyword(s):

Gene Expression ◽

Signal Transduction ◽

Glial Cell ◽

Tnf Alpha ◽

Signal Transduction Pathways ◽

Ifn Gamma ◽

Cell Gene Expression ◽

And Function ◽

Cell Gene

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Single cell gene expression analysis of circulating tumor cells in ovarian cancer reveals CTCs co-expressing stem cell and mesenchymal markers

Geburtshilfe und Frauenheilkunde ◽

10.1055/s-0036-1592665 ◽

2016 ◽

Vol 76 (10) ◽

Cited By ~ 1

Author(s):

C Blassl ◽

JD Kuhlmann ◽

A Webers ◽

P Wimberger ◽

T Fehm ◽

...

Keyword(s):

Gene Expression ◽

Ovarian Cancer ◽

Stem Cell ◽

Single Cell ◽

Tumor Cells ◽

Circulating Tumor Cells ◽

Expression Analysis ◽

Gene Expression Analysis ◽

Cell Gene Expression ◽

Cell Gene

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Effects of common FSH receptor single-nucleotide polymorphisms on the follicular fluid hormone profile and the granulosa cell gene expression in human small antral follicles

Reproduction Abstracts ◽

10.1530/repabs.1.p353 ◽

2014 ◽

Author(s):

Tanni Borgbo ◽

Hana Kluckova ◽

Milan MacEk ◽

Jana Chrudimska ◽

Janni V Jeppesen ◽

...

Keyword(s):

Gene Expression ◽

Single Nucleotide Polymorphisms ◽

Follicular Fluid ◽

Fsh Receptor ◽

Nucleotide Polymorphisms ◽

Single Nucleotide ◽

Antral Follicles ◽

Hormone Profile ◽

Cell Gene Expression ◽

Cell Gene

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Faculty Opinions recommendation of Molecular heterogeneity of developing retinal ganglion and amacrine cells revealed through single cell gene expression profiling.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.1082928.535886 ◽

2007 ◽

Author(s):

Alain Ghysen

Keyword(s):

Gene Expression ◽

Single Cell ◽

Gene Expression Profiling ◽

Expression Profiling ◽

Amacrine Cells ◽

Molecular Heterogeneity ◽

Retinal Ganglion ◽

Cell Gene Expression ◽

Cell Gene

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Faculty Opinions recommendation of Single-cell gene expression of the bovine blastocyst.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.728770917.793543100 ◽

2018 ◽

Author(s):

Anthony Michael Carter

Keyword(s):

Gene Expression ◽

Single Cell ◽

Cell Gene Expression ◽

Cell Gene ◽

Bovine Blastocyst

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Faculty Opinions recommendation of Single-cell gene expression reveals a landscape of regulatory T cell phenotypes shaped by the TCR.

Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature ◽

10.3410/f.732647286.793544281 ◽

2018 ◽

Author(s):

Matthias von Herrath ◽

Gustaf Christoffersson

Keyword(s):

Gene Expression ◽

T Cell ◽

Single Cell ◽

Regulatory T Cell ◽

Cell Gene Expression ◽

T Cell Phenotypes ◽

Cell Phenotypes ◽

Cell Gene

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How to build regulatory networks from single-cell gene expression data

Proceedings of the 11th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics ◽

10.1145/3388440.3414213 ◽

2020 ◽

Author(s):

Aditya Pratapa ◽

Amogh P. Jalihal ◽

Jeffrey N. Law ◽

Aditya Bharadwaj ◽

T. M. Murali

Keyword(s):

Gene Expression ◽

Single Cell ◽

Gene Expression Data ◽

Regulatory Networks ◽

Expression Data ◽

Cell Gene Expression ◽

Cell Gene

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Peripheral Blood T Cell Gene Expression Responses to Exercise and HMB in Sarcopenia

Nutrients ◽

10.3390/nu13072313 ◽

2021 ◽

Vol 13 (7) ◽

pp. 2313

Author(s):

Suk-Ling Ma ◽

Junyi Wu ◽

Liuying Zhu ◽

Ruth Chan ◽

Amy Wang ◽

...

Keyword(s):

Gene Expression ◽

T Cell ◽

Lower Limb ◽

Exercise Program ◽

Lower Limb Muscle ◽

Limb Muscle ◽

Strength Performance ◽

Leg Extension ◽

Cell Gene Expression ◽

Cell Gene

Background: Sarcopenia is a major health problem in older adults. Exercise and nutrient supplementation have been shown to be effective interventions but there are limited studies to investigate their effects on the management of sarcopenia and its possible underlying mechanisms. Here, we studied T cell gene expression responses to interventions in sarcopenia. Methods: The results of this study were part of a completed trial examining the effectiveness of a 12-week intervention with exercise and nutrition supplementation in community-dwelling Chinese older adults with sarcopenia, based on the available blood samples at baseline and 12 weeks from 46 randomized participants from three study groups, namely: exercise program alone (n = 11), combined-exercise program and nutrition supplement (n = 23), and waitlist control group (n = 12). T cell gene expression was evaluated, with emphasis on inflammation-related genes. Real-time PCR (RT-PCR) was performed on CD3 T cells in 38 selected genes. Correlation analysis was performed to relate the results of gene expression analysis with lower limb muscle strength performance, measured using leg extension tests. Results: Our results showed a significant improvement in leg extension for both the exercise program alone and the combined groups (p < 0.001). Nine genes showed significant pre- and post-difference in gene expression over 12 weeks of intervention in the combined group. Seven genes (RASGRP1, BIN1, LEF1, ANXA6, IL-7R, LRRN3, and PRKCQ) showed an interaction effect between intervention and gene expression levels on leg extension in the confirmatory analysis, with confounder variables controlled and FDR correction. Conclusions: Our findings showed that T cell-specific inflammatory gene expression was changed significantly after 12 weeks of intervention with combined exercise and HMB supplementation in sarcopenia, and that this was associated with lower limb muscle strength performance.

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