Evidence map›Paper›PMID 26504887›Full record

ArticleJournal of biological methods

Deciphering hepatocellular responses to metabolic and oncogenic stress.

Kathrina L Marcelo, Fumin Lin, Kimal Rajapakshe, Adam Dean, Naomi Gonzales, Cristian Coarfa, Anthony R Means, Lauren C Goldie, Brian York

Abstract read
In one paragraph

Article in Journal of biological methods. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Kathrina L MarceloDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Fumin LinDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Kimal RajapaksheDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Adam DeanDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Naomi GonzalesDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Cristian CoarfaDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA.
Anthony R MeansDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA ; Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA.
Lauren C GoldieDepartment of Pediatrics, Baylor College of Medicine, Houston, TX, USA ; Center for Cell and Gene Therapy, Baylor College of Medicine, Houston, TX, USA ; USDA/ARS Children's Nutrition Research Center at Baylor College of Medicine, Houston, TX, USA.
Brian YorkDepartment of Molecular and Cellular Biology, Baylor College of Medicine, Houston, TX, USA ; Dan L. Duncan Cancer Center, Baylor College of Medicine, Houston, TX, USA.

Funding

Tumor BiologyP30CA125123 · NCI · BAYLOR COLLEGE OF MEDICINE · PI Michael M Ittmann · 2007 to 2026
$73.9M
Virology CoreP30AI036211 · NIAID · BAYLOR COLLEGE OF MEDICINE · PI BUTEL, JANET S · 1994 to 2015
$21.7M
STRUCTURE/FUNCTION OF GENETIC ENGINEERED CALMODULINSR01GM033976 · NIGMS · DUKE UNIVERSITY · PI MEANS, ANTHONY R · 1985 to 2015
$5.4M
BD Biosciences Special Order LSRIIS10RR024574 · NCRR · BAYLOR COLLEGE OF MEDICINE · PI LUMPKIN, ELLEN A · 2009 to 2009
$430k
NCI NIH HHS P30 CA125123NCRR NIH HHS S10 RR024574NIAID NIH HHS P30 AI036211NIGMS NIH HHS R01 GM033976
6 · The paper itself

Abstract

Each cell type responds uniquely to stress and fractionally contributes to global and tissue-specific stress responses. Hepatocytes, liver macrophages (MΦ), and sinusoidal endothelial cells (SEC) play functionally important and interdependent roles in adaptive processes such as obesity and tumor growth. Although these cell types demonstrate significant phenotypic and functional heterogeneity, their distinctions enabling disease-specific responses remain understudied. We developed a strategy for the simultaneous isolation and quantification of these liver cell types based on antigenic cell surface marker expression. To demonstrate the utility and applicability of this technique, we quantified liver cell-specific responses to high-fat diet (HFD) or diethylnitrosamine (DEN), a liver-specific carcinogen, and found that while there was only a marginal increase in hepatocyte number, MΦ and SEC populations were quantitatively increased. Global gene expression profiling of hepatocytes, MΦ and SEC identified characteristic gene signatures that define each cell type in their distinct physiological or pathological states. Integration of hepatic gene signatures with available human obesity and liver cancer microarray data provides further insight into the cell-specific responses to metabolic or oncogenic stress. Our data reveal unique gene expression patterns that serve as molecular "fingerprints" for the cell-centric responses to pathologic stimuli in the distinct microenvironment of the liver. The technical advance highlighted in this study provides an essential resource for assessing hepatic cell-specific contributions to metabolic and oncogenic stress, information that could unveil previously unappreciated molecular mechanisms for the cellular crosstalk that underlies the continuum from metabolic disruption to obesity and ultimately hepatic cancer.

Indexed as

endotheliumhepatocytesliver cancermacrophagesobesity

Identifiers

PMID26504887
PMCPMC4617787

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.