Evidence map›Paper›PMID 36636354›Full record

ArticleiScience2023

Mapping transcriptional heterogeneity and metabolic networks in fatty livers at single-cell resolution.

Laetitia Coassolo, Tianyun Liu, Yunshin Jung, Nikki P Taylor, Meng Zhao, Gregory W Charville, Silas Boye Nissen, Hannele Yki-Jarvinen, Russ B Altman, Katrin J Svensson

Open access · goldAbstract read
In one paragraph

Article in iScience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 13 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

10 authors at 4 institutions in 3 countries.

Laetitia CoassoloDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Tianyun LiuDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Yunshin JungDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Nikki P TaylorDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Meng ZhaoDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Gregory W CharvilleDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Silas Boye NissenDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Hannele Yki-JarvinenDepartment of Medicine, Helsinki University Hospital and University of Helsinki, Helsinki, Finland.
Russ B AltmanDepartments of Bioengineering, Genetics & Medicine, Stanford University, Stanford, CA, USA.
Katrin J SvenssonDepartment of Pathology, Stanford University School of Medicine, Stanford, CA 94305, USA.
Stanford University · USCardiovascular Institute of the South · USUniversity of Copenhagen · DKUniversity of Helsinki · FI

Funding

Stanford Islet Research CoreP30DK116074 · NIDDK · STANFORD UNIVERSITY · PI Seung K Kim · 2017 to 2026
$19.5M
Mechanisms controlling fructose uptake and utilizationR01DK125260 · NIDDK · STANFORD UNIVERSITY · PI Katrin Jennifer Svensson · 2020 to 2026
$3.5M
Undergraduate Summer Research Experiences Support for Combining systems biology and structural biology to find new therapeuticsR01GM102365 · NIGMS · STANFORD UNIVERSITY · PI ALTMAN, RUSS BIAGIO · 2012 to 2021
$3.0M
The role of circulating Slit2 in adipose thermogenesis and diabetesR00DK111916 · NIDDK · STANFORD UNIVERSITY · PI SVENSSON, KATRIN JENNIFER · 2018 to 2020
$731k
High-throughput sequencer for multi-scale genomic studiesS10OD020141 · OD · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2015 to 2015
$600k
The role of circulating Slit2 in adipose thermogenesis and diabetesK99DK111916 · NIDDK · DANA-FARBER CANCER INST · PI SVENSSON, KATRIN JENNIFER · 2016 to 2017
$180k
NIDDK NIH HHS K99 DK111916NIDDK NIH HHS P30 DK116074NIDDK NIH HHS R00 DK111916NIDDK NIH HHS R01 DK125260NIGMS NIH HHS R01 GM102365NIH HHS S10 OD020141
6 · The paper itself

Abstract

Non-alcoholic fatty liver disease is a heterogeneous disease with unclear underlying molecular mechanisms. Here, we perform single-cell RNA sequencing of hepatocytes and hepatic non-parenchymal cells to map the lipid signatures in mice with non-alcoholic fatty liver disease (NAFLD). We uncover previously unidentified clusters of hepatocytes characterized by either high or low

Indexed as

Molecular networkMolecular physiologySystems biologyTranscriptomics

Identifiers

PMID36636354
PMCPMC9830221
OpenAlexW4311460616

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.