Evidence map›Paper›PMID 31932729›Full record

ArticleNature biotechnology2020

Titrating gene expression using libraries of systematically attenuated CRISPR guide RNAs.

Marco Jost, Daniel A Santos, Reuben A Saunders, Max A Horlbeck, John S Hawkins, Sonia M Scaria, Thomas M Norman, Jeffrey A Hussmann, Christina R Liem, Carol A Gross and 1 more

Open access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 119 papers.

0numbers the graph read from it
0cells of the map it votes in
119citing papers in PubMed
8.5field-weighted citation impact, top 1% 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

119 citing papers in PubMed, 170 citations in OpenAlex.

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  15. Genome-wide single-cell perturbation screens with VIPerturb-seq.bioRxiv : the preprint server for biology · 2026
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  18. Review
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59 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

11 authors at 2 institutions in 1 country.

Marco Jost *Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-1369-4908
Daniel A Santos *Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-3757-189X
Reuben A SaundersDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
Max A HorlbeckDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-3875-871X
John S HawkinsDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA.
Sonia M ScariaDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
Thomas M NormanDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
Jeffrey A HussmannDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-7778-9893
Christina R LiemDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA.
Carol A GrossDepartment of Microbiology and Immunology, University of California, San Francisco, San Francisco, CA, USA.ORCID http://orcid.org/0000-0002-5595-9732
Jonathan S WeissmanDepartment of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA. jonathan.weissman@ucsf.edu.ORCID http://orcid.org/0000-0003-2445-670X
QB3 · USUniversity of California, San Francisco · US

Funding

MEDICAL SCIENTIST TRAINING PROGRAMT32GM007618 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI ANDERSON, MARK S · 1985 to 2020
$29.6M
Center for Genomic Editing and Recording: Development and Application of Next-Generation Genome and Epigenome Editing Methods to Advance the Study and Treatment of Human DiseaseRM1HG009490 · NHGRI · WHITEHEAD INSTITUTE FOR BIOMEDICAL RES · PI Brittany S. Adamson, Martin Joseph Ankrah Aryee · 2017 to 2026
$22.7M
Cellular homeostasis pathways in bacteriaR35GM118061 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GROSS, CAROL ANNE · 2016 to 2025
$9.0M
The Cancer Target Discovery and Development Network at UCSFU01CA217882 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BANDYOPADHYAY, SOURAV, BIVONA, TREVER G · 2017 to 2021
$5.2M
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
Deciphering the logic of glycolipid signaling at the host-microbiome interfaceK99GM130964 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JOST, MARCO · 2019 to 2020
$200k
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 U01 CA168370NCI NIH HHS U01 CA217882NHGRI NIH HHS RM1 HG009490NIGMS NIH HHS F32 GM116331NIGMS NIH HHS K99 GM130964NIGMS NIH HHS R35 GM118061NIGMS NIH HHS T32 GM007618
6 · The paper itself

Abstract

A lack of tools to precisely control gene expression has limited our ability to evaluate relationships between expression levels and phenotypes. Here, we describe an approach to titrate expression of human genes using CRISPR interference and series of single-guide RNAs (sgRNAs) with systematically modulated activities. We used large-scale measurements across multiple cell models to characterize activities of sgRNAs containing mismatches to their target sites and derived rules governing mismatched sgRNA activity using deep learning. These rules enabled us to synthesize a compact sgRNA library to titrate expression of ~2,400 genes essential for robust cell growth and to construct an in silico sgRNA library spanning the human genome. Staging cells along a continuum of gene expression levels combined with single-cell RNA-seq readout revealed sharp transitions in cellular behaviors at gene-specific expression thresholds. Our work provides a general tool to control gene expression, with applications ranging from tuning biochemical pathways to identifying suppressors for diseases of dysregulated gene expression.

Indexed as

Gene ExpressionComputational BiologyCRISPR-Cas SystemsDeep LearningGene EditingGenomic LibraryHeLa CellsHumansK562 CellsPhenotypeRNA, Guide, CRISPR-Cas SystemsSequence Analysis, RNASingle-Cell AnalysisRNA, Guide, CRISPR-Cas Systems

Identifiers

PMID31932729
PMCPMC7065968
OpenAlexW3000149627

What OpenQuestion holds

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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.