Evidence map›Paper›PMID 33303588›Full record

ArticleScience (New York, N.Y.)2020

CiBER-seq dissects genetic networks by quantitative CRISPRi profiling of expression phenotypes.

Ryan Muller, Zuriah A Meacham, Lucas Ferguson, Nicholas T Ingolia

Abstract read
In one paragraph

Article in Science (New York, N.Y.), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Scaling perturbations: beyond genome-scale CRISPR screens.bioRxiv : the preprint server for biology · 2026
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  14. Decoding RNA Metabolism by RNA-linked CRISPR Screening in Human Cells.bioRxiv : the preprint server for biology · 2024
    Article
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  17. Review
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  20. Surveying the global landscape of post-transcriptional regulators.Nature structural & molecular biology · 2023
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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

4 authors.

Ryan MullerDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0002-8868-7841
Zuriah A MeachamDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0002-9350-9206
Lucas FergusonDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0001-5482-4249
Nicholas T IngoliaDepartment of Molecular and Cell Biology, University of California, Berkeley, Berkeley, CA 94720, USA. ingolia@berkeley.edu.ORCID 0000-0002-3395-1545

Funding

Molecular Basis and Cellular Roles of Translational RegulationDP2CA195768 · NCI · UNIVERSITY OF CALIFORNIA BERKELEY · PI INGOLIA, NICHOLAS T · 2014 to 2014
$2.4M
High-precision pooled screening for quantitative molecular phenotypesR01GM135233 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI INGOLIA, NICHOLAS T · 2020 to 2023
$1.2M
Functional genomics of the dynamic molecular network controlling mRNA translation and decayR01GM130996 · NIGMS · UNIVERSITY OF CALIFORNIA BERKELEY · PI INGOLIA, NICHOLAS T · 2019 to 2022
$1.2M
Pacific Biosciences PacBio RS Single Molecule Real Time SequencerS10OD018174 · OD · UNIVERSITY OF CALIFORNIA BERKELEY · PI ROKHSAR, DANIEL SOLEYMAN · 2014 to 2014
$600k
NCI NIH HHS DP2 CA195768NIGMS NIH HHS R01 GM130996NIGMS NIH HHS R01 GM135233NIH HHS S10 OD018174
6 · The paper itself

Abstract

To realize the promise of CRISPR-Cas9-based genetics, approaches are needed to quantify a specific, molecular phenotype across genome-wide libraries of genetic perturbations. We addressed this challenge by profiling transcriptional, translational, and posttranslational reporters using CRISPR interference (CRISPRi) with barcoded expression reporter sequencing (CiBER-seq). Our barcoding approach allowed us to connect an entire library of guides to their individual phenotypic consequences using pooled sequencing. CiBER-seq profiling fully recapitulated the integrated stress response (ISR) pathway in yeast. Genetic perturbations causing uncharged transfer RNA (tRNA) accumulation activated ISR reporter transcription. Notably, tRNA insufficiency also activated the reporter, independent of the uncharged tRNA sensor. By uncovering alternate triggers for ISR activation, we illustrate how precise, comprehensive CiBER-seq profiling provides a powerful and broadly applicable tool for dissecting genetic networks.

Indexed as

CRISPR-Associated Protein 9CRISPR-Cas SystemsGene ExpressionGene Regulatory NetworksAlcohol OxidoreductasesAminohydrolasesEukaryotic Initiation Factor-2Gene Expression ProfilingPhenotypePhosphorylationProtein Serine-Threonine KinasesPyrophosphatasesRNA, Guide, CRISPR-Cas SystemsRNA, TransferSaccharomyces cerevisiaeSaccharomyces cerevisiae ProteinsAlcohol OxidoreductasesAminohydrolasesCRISPR-Associated Protein 9Eukaryotic Initiation Factor-2GCN2 protein, S cerevisiaeHIS4 protein, S cerevisiaeProtein Serine-Threonine KinasesPyrophosphatasesRNA, Guide, CRISPR-Cas SystemsRNA, TransferSaccharomyces cerevisiae ProteinsSUI2 protein, S cerevisiae

Identifiers

PMID33303588
PMCPMC7819735

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.