Evidence map›Paper›PMID 27984733›Full record

ArticleCell2016

A Multiplexed Single-Cell CRISPR Screening Platform Enables Systematic Dissection of the Unfolded Protein Response.

Britt Adamson, Thomas M Norman, Marco Jost, Min Y Cho, James K Nuñez, Yuwen Chen, Jacqueline E Villalta, Luke A Gilbert, Max A Horlbeck, Marco Y Hein and 7 more

Abstract read
In one paragraph

Article in Cell, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 740 papers.

0numbers the graph read from it
0cells of the map it votes in
740citing papers in PubMed
–field-weighted citation impact
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

740 citing papers in PubMed.

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680 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

17 authors.

Britt AdamsonDepartment of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA; Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA.
Thomas M NormanDepartment of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA; Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA.
Marco JostDepartment of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA; Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94158, USA.
Min Y ChoDepartment of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA; Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA.
James K NuñezDepartment of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA; Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA.
Yuwen ChenDepartment of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA; Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA.
Jacqueline E VillaltaDepartment of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA; Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA.
Luke A GilbertDepartment of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA; Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA.
Max A HorlbeckDepartment of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA; Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA.
Marco Y HeinDepartment of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA; Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA.
Ryan A PakDepartment of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Innovative Genomics Initiative, University of California, Berkeley, Berkeley, CA 94720, USA.
Andrew N GrayDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94158, USA.
Carol A GrossDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA 94158, USA; Department of Cell and Tissue Biology, University of California, San Francisco, San Francisco, CA 94158, USA; Integrative Program in Quantitative Biology, University of California, San Francisco, San Francisco, CA 94158, USA.
Atray DixitHarvard-MIT Division of Health Sciences and Technology, Cambridge, MA 02142, USA; Broad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Oren ParnasBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA.
Aviv RegevBroad Institute of MIT and Harvard, Cambridge, MA 02142, USA; Howard Hughes Medical Institute, Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02140, USA.
Jonathan S WeissmanDepartment of Cellular & Molecular Pharmacology, University of California, San Francisco, San Francisco, CA 94158, USA; Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, CA 94158, USA; California Institute for Quantitative Biomedical Research, University of California, San Francisco, San Francisco, CA 94158, USA; Center for RNA Systems Biology, University of California, San Francisco, San Francisco, CA 94158, USA. Electronic address: jonathan.weissman@ucsf.edu.

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007618 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANDERSON, MARK S · 1985 to 2020
$29.6M
Center for Cell CircuitsP50HG006193 · NHGRI · BROAD INSTITUTE, INC. · PI REGEV, AVIV · 2011 to 2015
$15.6M
Center for Cell CircuitsRM1HG006193 · NHGRI · BROAD INSTITUTE, INC. · PI BLAINEY, PAUL CLARK, HACOHEN, NIR · 2016 to 2020
$14.9M
PROJECT 3P50GM102706 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI CATE, JAMIE H · 2012 to 2016
$9.5M
Cellular homeostasis pathways in bacteriaR35GM118061 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GROSS, CAROL ANNE · 2016 to 2025
$9.0M
Bay Area Cancer Target Discovery and Development NetworkU01CA168370 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MCCORMICK, FRANK PATRICK, MCMANUS, MICHAEL T · 2012 to 2016
$3.9M
Integrative Program in Complex Biological System (ipCBS)T32EB009383 · NIBIB · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MARSHALL, WALLACE, WEINER, ORION D · 2009 to 2022
$3.2M
Harnessing CRISPR for Targeted and Inducible Epigenomic ReprogrammingR01DA036858 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI LIM, WENDELL A, QI, LEI STANLEY · 2013 to 2017
$2.9M
Gene Function and Pathway Analysis Using Systems Level Approaches in ProkaryotesR01GM102790 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GROSS, CAROL ANNE · 2012 to 2015
$1.8M
Human Gene Knockdowns that May Extend LifespanR01AG041826 · NIA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WEISSMAN, JONATHAN S. · 2012 to 2016
$1.6M
A functional genomics approach to determine the mechanism of cellular response to new anti-cancer R00CA204602 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GILBERT, LUKE · 2017 to 2019
$747k
Systematic Genome-Wide Characterization of Iron HomeostasisF32GM116331 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOST, MARCO · 2015 to 2017
$162k
Howard Hughes Medical InstituteNCI NIH HHS K99 CA204602NCI NIH HHS R00 CA204602NCI NIH HHS U01 CA168370NHGRI NIH HHS P50 HG006193NHGRI NIH HHS RM1 HG006193NIA NIH HHS R01 AG041826NIBIB NIH HHS T32 EB009383NIDA NIH HHS R01 DA036858NIGMS NIH HHS F32 GM116331NIGMS NIH HHS P50 GM102706NIGMS NIH HHS R01 GM102790NIGMS NIH HHS R35 GM118061NIGMS NIH HHS T32 GM007618
6 · The paper itself

Abstract

Functional genomics efforts face tradeoffs between number of perturbations examined and complexity of phenotypes measured. We bridge this gap with Perturb-seq, which combines droplet-based single-cell RNA-seq with a strategy for barcoding CRISPR-mediated perturbations, allowing many perturbations to be profiled in pooled format. We applied Perturb-seq to dissect the mammalian unfolded protein response (UPR) using single and combinatorial CRISPR perturbations. Two genome-scale CRISPR interference (CRISPRi) screens identified genes whose repression perturbs ER homeostasis. Subjecting ∼100 hits to Perturb-seq enabled high-precision functional clustering of genes. Single-cell analyses decoupled the three UPR branches, revealed bifurcated UPR branch activation among cells subject to the same perturbation, and uncovered differential activation of the branches across hits, including an isolated feedback loop between the translocon and IRE1α. These studies provide insight into how the three sensors of ER homeostasis monitor distinct types of stress and highlight the ability of Perturb-seq to dissect complex cellular responses.

Indexed as

AnimalsClustered Regularly Interspaced Short Palindromic RepeatsEndoribonucleasesFeedbackHumansModels, MolecularProtein Serine-Threonine KinasesRNA, Guide, CRISPR-Cas SystemsSequence Analysis, RNASingle-Cell AnalysisTranscription, GeneticUnfolded Protein ResponseEndoribonucleasesERN1 protein, humanProtein Serine-Threonine KinasesRNA, Guide, CRISPR-Cas Systemscell-to-cell heterogeneityCRIPSRiCRISPRgenome-scale screeningsingle-cell genomicsSingle-cell RNA-sequnfolded protein response

Identifiers

PMID27984733
PMCPMC5315571

What OpenQuestion holds

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Registered trials

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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.