Evidence map›Paper›PMID 32694731›Full record

ArticleNature metabolism2020

Systematic mapping of genetic interactions for de novo fatty acid synthesis identifies C12orf49 as a regulator of lipid metabolism.

Michael Aregger, Keith A Lawson, Maximillian Billmann, Michael Costanzo, Amy H Y Tong, Katherine Chan, Mahfuzur Rahman, Kevin R Brown, Catherine Ross, Matej Usaj and 15 more

Open access · greenAbstract read
In one paragraph

Article in Nature metabolism, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 75 papers.

0numbers the graph read from it
0cells of the map it votes in
75citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

75 citing papers in PubMed, 119 citations in OpenAlex.

  1. Article
  2. Gigabase-scale deletion scanning of the human genome.bioRxiv : the preprint server for biology · 2026
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15 more citing papers are in PubMed but not listed here.

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

25 authors at 3 institutions in 2 countries.

Michael Aregger *Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0001-6443-9870
Keith A Lawson *Donnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Maximillian Billmann *Department of Computer Science and Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, USA.ORCID http://orcid.org/0000-0002-6556-9594
Michael CostanzoDonnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Amy H Y TongDonnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Katherine ChanDonnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Mahfuzur RahmanDepartment of Computer Science and Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, USA.
Kevin R BrownDonnelly Centre, University of Toronto, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-5514-2538
Catherine RossDonnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Matej UsajDonnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Lucy NedyalkovaDonnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Olga SizovaDonnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Andrea HabsidDonnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Judy PawlingLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
Zhen-Yuan LinLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
Hala AbdouniLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
Cassandra J WongLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.
Alexander WeissDonnelly Centre, University of Toronto, Toronto, Ontario, Canada.
Patricia MeroDonnelly Centre, University of Toronto, Toronto, Ontario, Canada.
James W DennisLunenfeld-Tanenbaum Research Institute, Mount Sinai Hospital, Toronto, Ontario, Canada.ORCID http://orcid.org/0000-0002-0295-5877
Anne-Claude GingrasDepartment of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.
Chad L MyersDepartment of Computer Science and Engineering, University of Minnesota - Twin Cities, Minneapolis, MN, USA. cmyers@cs.umn.edu.ORCID http://orcid.org/0000-0002-1026-5972
Brenda J AndrewsDonnelly Centre, University of Toronto, Toronto, Ontario, Canada. brenda.andrews@utoronto.ca.ORCID http://orcid.org/0000-0001-6427-6493
Charles BooneDonnelly Centre, University of Toronto, Toronto, Ontario, Canada. charlie.boone@utoronto.ca.ORCID http://orcid.org/0000-0002-3542-6760
Jason MoffatDonnelly Centre, University of Toronto, Toronto, Ontario, Canada. j.moffat@utoronto.ca.ORCID http://orcid.org/0000-0002-5663-8586
University of Toronto · CAMount Sinai Hospital · CAUniversity of Minnesota · US

Funding

Mapping the reference genetic network of a eukaryotic cellR01HG005853 · NHGRI · UNIVERSITY OF TORONTO · PI ANDREWS, BRENDA JEAN, BOONE, CHARLES · 2010 to 2025
$7.6M
Methods for large-scale analysis of chemical-genetic interactionsR01HG005084 · NHGRI · UNIVERSITY OF MINNESOTA · PI MYERS, CHAD L · 2010 to 2022
$2.9M
CIHR MOP-142375NHGRI NIH HHS R01 HG005084NHGRI NIH HHS R01 HG005853
6 · The paper itself

Abstract

The de novo synthesis of fatty acids has emerged as a therapeutic target for various diseases, including cancer. Because cancer cells are intrinsically buffered to combat metabolic stress, it is important to understand how cells may adapt to the loss of de novo fatty acid biosynthesis. Here, we use pooled genome-wide CRISPR screens to systematically map genetic interactions (GIs) in human HAP1 cells carrying a loss-of-function mutation in fatty acid synthase (FASN), whose product catalyses the formation of long-chain fatty acids. FASN-mutant cells show a strong dependence on lipid uptake that is reflected in negative GIs with genes involved in the LDL receptor pathway, vesicle trafficking and protein glycosylation. Further support for these functional relationships is derived from additional GI screens in query cell lines deficient in other genes involved in lipid metabolism, including LDLR, SREBF1, SREBF2 and ACACA. Our GI profiles also identify a potential role for the previously uncharacterized gene C12orf49 (which we call LUR1) in regulation of exogenous lipid uptake through modulation of SREBF2 signalling in response to lipid starvation. Overall, our data highlight the genetic determinants underlying the cellular adaptation associated with loss of de novo fatty acid synthesis and demonstrate the power of systematic GI mapping for uncovering metabolic buffering mechanisms in human cells.

Indexed as

Cell LineChromosome MappingCRISPR-Cas SystemsFatty AcidsFatty Acid Synthase, Type IHumansLipid MetabolismLipogenesisMembrane ProteinsNerve Tissue ProteinsSignal TransductionStarvationSterol Regulatory Element Binding Protein 2FASN protein, humanFatty AcidsFatty Acid Synthase, Type IHAP1 protein, humanMembrane ProteinsNerve Tissue ProteinsSPRING1 protein, humanSREBF2 protein, humanSterol Regulatory Element Binding Protein 2

Identifiers

PMID32694731
PMCPMC7566881
OpenAlexW3031637619

What OpenQuestion holds

Textmetadata
LicenceTDM
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.