Evidence map›Paper›PMID 30940487›Full record

ArticleMolecular metabolism2019

Discovering metabolic disease gene interactions by correlated effects on cellular morphology.

Yang Jiao, Umer Ahmed, M F Michelle Sim, Andrea Bejar, Xiaolan Zhang, M Mesbah Uddin Talukder, Robert Rice, Jason Flannick, Anna I Podgornaia, Dermot F Reilly and 12 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Molecular metabolism, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.9field-weighted citation impact, top 28% 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

14 citing papers in PubMed, 22 citations in OpenAlex.

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  11. RNA Flow Cytometry for the Study of T Cell Metabolism.International journal of molecular sciences · 2021
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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

22 authors at 4 institutions in 2 countries.

Yang JiaoBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Umer AhmedBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
M F Michelle SimUniversity of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK.
Andrea BejarBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Xiaolan ZhangBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
M Mesbah Uddin TalukderDepartment of Pharmacology, University of Cambridge, Cambridge CB2 1PD, UK.
Robert RiceBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Jason FlannickBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Anna I PodgornaiaGenetics and Pharmacogenomics, Merck & Co., Inc., Boston, MA 02115, USA.
Dermot F ReillyGenetics and Pharmacogenomics, Merck & Co., Inc., Boston, MA 02115, USA.
Jesse M EngreitzBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Maria Kost-AlimovaBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Kate HartlandBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Josep-Maria MercaderBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Sara GeorgesGenetics and Pharmacogenomics, Merck & Co., Inc., Boston, MA 02115, USA.
Vilas WaghGenetics and Pharmacogenomics, Merck & Co., Inc., Boston, MA 02115, USA.
Marija Tadin-StrappsGenetics and Pharmacogenomics, Merck & Co., Inc., Boston, MA 02115, USA.
John G DoenchBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
J Michael EdwardsonDepartment of Pharmacology, University of Cambridge, Cambridge CB2 1PD, UK.
Justin J RochfordUniversity of Cambridge Metabolic Research Laboratories, Institute of Metabolic Science, Addenbrooke's Hospital, Cambridge, CB2 0QQ, UK; Rowett Institute and the Aberdeen Cardiovascular and Diabetes Centre, University of Aberdeen, Foresterhill, Aberdeen AB25 2ZD, UK.
Evan D RosenBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Endocrinology, Diabetes and Obesity, Beth Israel Deaconess Medical Center, Boston, MA 02215, USA; Harvard Medical School, Department of Genetics, Boston, MA 02215, USA.
Amit R MajithiaBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Division of Endocrinology, Department of Medicine, University of California San Diego, La Jolla, CA 92093, USA. Electronic address: amajithia@ucsd.edu.
Broad Institute · USMerck & Co., Inc., Rahway, NJ, USA (United States) · USUniversity of Cambridge · GBBeth Israel Deaconess Medical Center · US

Funding

Making sense of sequence - high throughput experiments in human adipocytesK08DK102877 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MAJITHIA, AMIT · 2014 to 2018
$768k
Medical Research Council MR/L002620/1NIDDK NIH HHS K08 DK102877
6 · The paper itself

Abstract

objectiveImpaired expansion of peripheral fat contributes to the pathogenesis of insulin resistance and Type 2 Diabetes (T2D). We aimed to identify novel disease-gene interactions during adipocyte differentiation.

methodsGenes in disease-associated loci for T2D, adiposity and insulin resistance were ranked according to expression in human adipocytes. The top 125 genes were ablated in human pre-adipocytes via CRISPR/CAS9 and the resulting cellular phenotypes quantified during adipocyte differentiation with high-content microscopy and automated image analysis. Morphometric measurements were extracted from all images and used to construct morphologic profiles for each gene.

resultsOver 10

conclusionsA morphometric approach in adipocytes can resolve multiple cellular mechanisms for metabolic disease loci; this approach enables mechanistic interrogation of the hundreds of metabolic disease loci whose function still remains unknown.

Indexed as

AdipogenesisGene Regulatory NetworksProtein Interaction MapsAcyltransferasesAdipocytesCCAAT-Enhancer-Binding ProteinsCells, CulturedDiabetes MellitusGTP-Binding Protein gamma SubunitsHEK293 CellsHumansInsulin ResistancePerilipin-1PhenotypeTranscriptome2-acylglycerophosphate acyltransferaseAcyltransferasesBSCL2 protein, humanCCAAT-Enhancer-Binding ProteinsCEBPA protein, humanGTP-Binding Protein gamma SubunitsPerilipin-1PLIN1 protein, humanFunctional genomicsGene discoveryGenetic screenHigh content imagingInsulin resistanceLipodystrophyMetabolic syndromeType 2 diabetes

Identifiers

PMID30940487
PMCPMC6531784
OpenAlexW2922473881

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.