Evidence map›Paper›PMID 30054499›Full record

ArticleScientific reports2018

Transcriptomic Analysis of Hepatic Cells in Multicellular Organotypic Liver Models.

Allison N Tegge, Richard R Rodrigues, Adam L Larkin, Lucas Vu, T M Murali, Padmavathy Rajagopalan

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
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

8 citing papers in PubMed, 15 citations in OpenAlex.

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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

6 authors at 3 institutions in 1 country.

Allison N TeggeDepartment of Computer Science, Virginia Tech, Blacksburg, USA.
Richard R RodriguesGenetics, Bioinformatics, and Computational Biology Ph.D. Program, Virginia Tech, Blacksburg, USA.
Adam L LarkinDepartment of Chemical Engineering, Virginia Tech, Blacksburg, USA.
Lucas VuDepartment of Chemical Engineering, Virginia Tech, Blacksburg, USA.
T M MuraliDepartment of Computer Science, Virginia Tech, Blacksburg, USA. murali@cs.vt.edu.ORCID 0000-0003-3688-4672
Padmavathy RajagopalanDepartment of Chemical Engineering, Virginia Tech, Blacksburg, USA. padmar@vt.edu.
Virginia Tech · USCenter for Systems Biology · USVirginia Tech - Wake Forest University School of Biomedical Engineering & Sciences · US

Funding

Computing hepatic intercellular communications in response to toxicant exposuresF32ES024062 · NIEHS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI TEGGE, ALLISON N · 2014 to 2016
$130k
National Science Foundation (NSF) CBET-0933225National Science Foundation (NSF) CBET-1510920National Science Foundation (NSF) DBI-1062380National Science Foundation (NSF) DMR-090750National Science Foundation (NSF) DMR-1410341NIEHS NIH HHS F32 ES024062U.S. Department of Health & Human Services | National Institutes of Health (NIH) F32-ES024062U.S. Environmental Protection Agency (EPA) EPA-RD-83499801U.S. Environmental Protection Agency (EPA) RD-83499801U.S. Environmental Protection Agency (EPA) RD-83499801-0
6 · The paper itself

Abstract

Liver homeostasis requires the presence of both parenchymal and non-parenchymal cells (NPCs). However, systems biology studies of the liver have primarily focused on hepatocytes. Using an organotypic three-dimensional (3D) hepatic culture, we report the first transcriptomic study of liver sinusoidal endothelial cells (LSECs) and Kupffer cells (KCs) cultured with hepatocytes. Through computational pathway and interaction network analyses, we demonstrate that hepatocytes, LSECs and KCs have distinct expression profiles and functional characteristics. Our results show that LSECs in the presence of KCs exhibit decreased expression of focal adhesion kinase (FAK) signaling, a pathway linked to LSEC dedifferentiation. We report the novel result that peroxisome proliferator-activated receptor alpha (PPARα) is transcribed in LSECs. The expression of downstream processes corroborates active PPARα signaling in LSECs. We uncover transcriptional evidence in LSECs for a feedback mechanism between PPARα and farnesoid X-activated receptor (FXR) that maintains bile acid homeostasis; previously, this feedback was known occur only in HepG2 cells. We demonstrate that KCs in 3D liver models display expression patterns consistent with an anti-inflammatory phenotype when compared to monocultures. These results highlight the distinct roles of LSECs and KCs in maintaining liver function and emphasize the need for additional mechanistic studies of NPCs in addition to hepatocytes in liver-mimetic microenvironments.

Indexed as

Bile Acids and SaltsEndothelial CellsGene Expression ProfilingHepatocytesHep G2 CellsHomeostasisHumansKupffer CellsLiverPPAR alphaReceptor, Farnesoid X-ActivatedReceptors, Cytoplasmic and NuclearTranscriptomeBile Acids and SaltsPPAR alphaReceptor, Farnesoid X-ActivatedReceptors, Cytoplasmic and Nuclear

Identifiers

PMID30054499
PMCPMC6063915
OpenAlexW2884105826

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.