Evidence map›Paper›PMID 32355218›Full record

ArticleNature communications2020

Single-cell transcriptional networks in differentiating preadipocytes suggest drivers associated with tissue heterogeneity.

Alfred K Ramirez, Simon N Dankel, Bashir Rastegarpanah, Weikang Cai, Ruidan Xue, Mark Crovella, Yu-Hua Tseng, C Ronald Kahn, Simon Kasif

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
4.5field-weighted citation impact, top 5% 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

35 citing papers in PubMed, 50 citations in OpenAlex.

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  17. Adipose Tissue Remodeling in Pathophysiology.Annual review of pathology · 2023
    Review
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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

9 authors at 3 institutions in 2 countries.

Alfred K RamirezSection of Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA, 02215, USA.
Simon N DankelHormone Laboratory, Haukeland University Hospital, 5020, Bergen, Norway.ORCID http://orcid.org/0000-0001-6972-1824
Bashir RastegarpanahDepartment of Computer Science, Boston University, Boston, MA, 02215, USA.
Weikang CaiSection of Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA, 02215, USA.
Ruidan XueSection of Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA, 02215, USA.
Mark CrovellaDepartment of Computer Science, Boston University, Boston, MA, 02215, USA.ORCID http://orcid.org/0000-0002-5005-7019
Yu-Hua TsengSection of Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA, 02215, USA.ORCID http://orcid.org/0000-0003-2053-9559
C Ronald KahnSection of Integrative Physiology and Metabolism, Joslin Diabetes Center, Harvard Medical School, Boston, MA, 02215, USA. c.ronald.kahn@joslin.harvard.edu.ORCID http://orcid.org/0000-0002-7583-9228
Simon KasifDepartment of Biomedical Engineering, Boston University, Boston, MA, 02215, USA. kasif@bu.edu.ORCID http://orcid.org/0000-0003-3297-9914
Boston University · USJoslin Diabetes Center · USHaukeland University Hospital · NO

Funding

SPECIAL ASSAY COREP30DK036836 · NIDDK · JOSLIN DIABETES CENTER · PI ROHIT N. KULKARNI · 1986 to 2026
$50.5M
TRAINING IN DIABETES AND METABOLISMT32DK007260 · NIDDK · JOSLIN DIABETES CENTER · PI LAURIE J GOODYEAR · 1986 to 2026
$13.6M
Developmental genes, miRNAs and adipose tissueR01DK082659 · NIDDK · JOSLIN DIABETES CENTER · PI C RONALD KAHN · 2009 to 2026
$10.7M
Regulation of neural function by astrocyte insulin and IGF-1 receptor signalingK01DK120740 · NIDDK · NEW YORK INST OF TECHNOLOGY · PI CAI, WEIKANG · 2019 to 2021
$439k
NIDDK NIH HHS K01 DK120740NIDDK NIH HHS P30 DK036836NIDDK NIH HHS R01 DK082659NIDDK NIH HHS T32 DK007260
6 · The paper itself

Abstract

White adipose tissue plays an important role in physiological homeostasis and metabolic disease. Different fat depots have distinct metabolic and inflammatory profiles and are differentially associated with disease risk. It is unclear whether these differences are intrinsic to the pre-differentiated stage. Using single-cell RNA sequencing, a unique network methodology and a data integration technique, we predict metabolic phenotypes in differentiating cells. Single-cell RNA-seq profiles of human preadipocytes during adipogenesis in vitro identifies at least two distinct classes of subcutaneous white adipocytes. These differences in gene expression are separate from the process of browning and beiging. Using a systems biology approach, we identify a new network of zinc-finger proteins that are expressed in one class of preadipocytes and is potentially involved in regulating adipogenesis. Our findings gain a deeper understanding of both the heterogeneity of white adipocytes and their link to normal metabolism and disease.

Indexed as

AdipogenesisSingle-Cell AnalysisTranscription, GeneticAdipocytes, WhiteCell DifferentiationCells, CulturedCluster AnalysisGene Expression ProfilingGene Regulatory NetworksGlucoseHumansOxygen ConsumptionPhenotypePolymerase Chain ReactionProtein Interaction MappingSequence Analysis, RNAGlucose

Identifiers

PMID32355218
PMCPMC7192917
OpenAlexW3023869436

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.