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“Thinking” vs. “Talking”: Differential Autocrine Inflammatory Networks in Isolated Primary Hepatic Stellate Cells and Hepatocytes under Hypoxic Stress

Overview of attention for article published in Frontiers in Physiology, December 2017
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Title
“Thinking” vs. “Talking”: Differential Autocrine Inflammatory Networks in Isolated Primary Hepatic Stellate Cells and Hepatocytes under Hypoxic Stress
Published in
Frontiers in Physiology, December 2017
DOI 10.3389/fphys.2017.01104
Pubmed ID
Authors

Yoram Vodovotz, Richard L. Simmons, Chandrashekhar R. Gandhi, Derek Barclay, Bahiyyah S. Jefferson, Chao Huang, Rami Namas, Fayten el-Dehaibi, Qi Mi, Timothy R. Billiar, Ruben Zamora

Abstract

We hypothesized that isolated primary mouse hepatic stellate cells (HSC) and hepatocytes (HC) would elaborate different inflammatory responses to hypoxia with or without reoxygenation. We further hypothesized that intracellular information processing ("thinking") differs from extracellular information transfer ("talking") in each of these two liver cell types. Finally, we hypothesized that the complexity of these autocrine responses might only be defined in the absence of other non-parenchymal cells or trafficking leukocytes. Accordingly, we assayed 19 inflammatory mediators in the cell culture media (CCM) and whole cell lysates (WCLs) of HSC and HC during hypoxia with and without reoxygenation. We applied a unique set of statistical and data-driven modeling techniques including Two-Way ANOVA, hierarchical clustering, Principal Component Analysis (PCA) and Network Analysis to define the inflammatory responses of these isolated cells to stress. HSC, under hypoxic and reoxygenation stresses, both expressed and secreted larger quantities of nearly all inflammatory mediators as compared to HC. These differential responses allowed for segregation of HSC from HC by hierarchical clustering. PCA suggested, and network analysis supported, the hypothesis that above a certain threshold of cellular stress, the inflammatory response becomes focused on a limited number of functions in both HSC and HC, but with distinct characteristics in each cell type. Network analysis of separate extracellular and intracellular inflammatory responses, as well as analysis of the combined data, also suggested the presence of more complex inflammatory "talking" (but not "thinking") networks in HSC than in HC. This combined network analysis also suggested an interplay between intracellular and extracellular mediators in HSC under more conditions than that observed in HC, though both cell types exhibited a qualitatively similar phenotype under hypoxia/reoxygenation. Our results thus suggest that a stepwise series of computational and statistical analyses may help decipher how cells respond to environmental stresses, both within the cell and in its secretory products, even in the absence of cooperation from other cells in the liver.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 28%
Student > Ph. D. Student 3 17%
Professor > Associate Professor 3 17%
Researcher 3 17%
Student > Bachelor 1 6%
Other 0 0%
Unknown 3 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 3 17%
Agricultural and Biological Sciences 3 17%
Medicine and Dentistry 3 17%
Pharmacology, Toxicology and Pharmaceutical Science 2 11%
Immunology and Microbiology 1 6%
Other 2 11%
Unknown 4 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 January 2018.
All research outputs
#20,458,307
of 23,015,156 outputs
Outputs from Frontiers in Physiology
#9,480
of 13,770 outputs
Outputs of similar age
#376,540
of 440,933 outputs
Outputs of similar age from Frontiers in Physiology
#198
of 302 outputs
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So far Altmetric has tracked 13,770 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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