Evidence map›Paper›PMID 26864203›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2016

Multiplexed barcoded CRISPR-Cas9 screening enabled by CombiGEM.

Alan S L Wong, Gigi C G Choi, Cheryl H Cui, Gabriela Pregernig, Pamela Milani, Miriam Adam, Samuel D Perli, Samuel W Kazer, Aleth Gaillard, Mario Hermann and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 136 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
136citing papers in PubMed, 1 pooled it
19.5field-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

136 citing papers in PubMed, 1 synthesis or guideline pooled it, 248 citations in OpenAlex.

  1. Pooled it
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  3. Review
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  10. A unified genetic perturbation language for human cellular programming.bioRxiv : the preprint server for biology · 2025
    Article
  11. Article
  12. Article
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  15. HyperCas12a enables multiplexed CRISPRi screens.bioRxiv : the preprint server for biology · 2025
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Review

76 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

13 authors at 6 institutions in 1 country.

Alan S L WongSynthetic Biology Group, Massachusetts Institute of Technology (MIT) Synthetic Biology Center, MIT, Cambridge, MA 02139; Research Laboratory of Electronics, MIT, Cambridge, MA 02139;
Gigi C G ChoiSynthetic Biology Group, Massachusetts Institute of Technology (MIT) Synthetic Biology Center, MIT, Cambridge, MA 02139; Research Laboratory of Electronics, MIT, Cambridge, MA 02139;
Cheryl H CuiSynthetic Biology Group, Massachusetts Institute of Technology (MIT) Synthetic Biology Center, MIT, Cambridge, MA 02139; Harvard University-MIT Division of Health Sciences and Technology, Cambridge, MA 02139;
Gabriela PregernigDepartment of Biological Engineering, MIT, Cambridge, MA 02139;
Pamela MilaniDepartment of Biological Engineering, MIT, Cambridge, MA 02139;
Miriam AdamDepartment of Biological Engineering, MIT, Cambridge, MA 02139;
Samuel D PerliSynthetic Biology Group, Massachusetts Institute of Technology (MIT) Synthetic Biology Center, MIT, Cambridge, MA 02139; Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA 02139;
Samuel W KazerInstitute for Medical Engineering and Science and Department of Chemistry, MIT, Cambridge, MA 02139; Ragon Institute of Massachusetts General Hospital, MIT, and Harvard University, Cambridge, MA 02139; Broad Institute of MIT and Harvard University, Cambridge, MA 02142.
Aleth GaillardInstitute for Medical Engineering and Science and Department of Chemistry, MIT, Cambridge, MA 02139; Ragon Institute of Massachusetts General Hospital, MIT, and Harvard University, Cambridge, MA 02139; Broad Institute of MIT and Harvard University, Cambridge, MA 02142.
Mario HermannSynthetic Biology Group, Massachusetts Institute of Technology (MIT) Synthetic Biology Center, MIT, Cambridge, MA 02139; Research Laboratory of Electronics, MIT, Cambridge, MA 02139;
Alex K ShalekInstitute for Medical Engineering and Science and Department of Chemistry, MIT, Cambridge, MA 02139; Ragon Institute of Massachusetts General Hospital, MIT, and Harvard University, Cambridge, MA 02139; Broad Institute of MIT and Harvard University, Cambridge, MA 02142.
Ernest FraenkelDepartment of Biological Engineering, MIT, Cambridge, MA 02139;
Timothy K LuSynthetic Biology Group, Massachusetts Institute of Technology (MIT) Synthetic Biology Center, MIT, Cambridge, MA 02139; Research Laboratory of Electronics, MIT, Cambridge, MA 02139; Department of Biological Engineering, MIT, Cambridge, MA 02139; Department of Electrical Engineering and Computer Science, MIT, Cambridge, MA 02139; timlu@mit.edu.
IIT@MIT · USMassachusetts Institute of Technology · USCambridge Electronics (United States) · USBroad Institute · USHarvard University · USRagon Institute of MGH, MIT and Harvard · US

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI MATTHEW G. VANDER HEIDEN · 1985 to 2026
$93.9M
MIT Center for Integrative Synthetic BiologyP50GM098792 · NIGMS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WEISS, RON · 2013 to 2017
$11.0M
Epigenetic Pathology and Therapy in Huntington's DiseaseR01NS089076 · NINDS · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI FRAENKEL, ERNEST, HOUSMAN, DAVID · 2015 to 2024
$4.9M
High-Throughput Nanoscale Approaches to Studying and Inhibiting Amyloid ToxicityDP2OD008435 · OD · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI LU, TIMOTHY · 2011 to 2011
$2.4M
NCI NIH HHS P30 CA014051NIGMS NIH HHS P50 GM098792NIGMS NIH HHS P50GM098792NIH HHS DP2 OD008435NIH HHS DP2OD008435NINDS NIH HHS R01 NS089076NINDS NIH HHS R01NS089076
6 · The paper itself

Abstract

The orchestrated action of genes controls complex biological phenotypes, yet the systematic discovery of gene and drug combinations that modulate these phenotypes in human cells is labor intensive and challenging to scale. Here, we created a platform for the massively parallel screening of barcoded combinatorial gene perturbations in human cells and translated these hits into effective drug combinations. This technology leverages the simplicity of the CRISPR-Cas9 system for multiplexed targeting of specific genomic loci and the versatility of combinatorial genetics en masse (CombiGEM) to rapidly assemble barcoded combinatorial genetic libraries that can be tracked with high-throughput sequencing. We applied CombiGEM-CRISPR to create a library of 23,409 barcoded dual guide-RNA (gRNA) combinations and then perform a high-throughput pooled screen to identify gene pairs that inhibited ovarian cancer cell growth when they were targeted. We validated the growth-inhibiting effects of specific gene sets, including epigenetic regulators KDM4C/BRD4 and KDM6B/BRD4, via individual assays with CRISPR-Cas-based knockouts and RNA-interference-based knockdowns. We also tested small-molecule drug pairs directed against our pairwise hits and showed that they exerted synergistic antiproliferative effects against ovarian cancer cells. We envision that the CombiGEM-CRISPR platform will be applicable to a broad range of biological settings and will accelerate the systematic identification of genetic combinations and their translation into novel drug combinations that modulate complex human disease phenotypes.

Indexed as

Clustered Regularly Interspaced Short Palindromic RepeatsDNA Barcoding, TaxonomicHumansCombiGEMCRISPR-Casgenetic perturbationshigh-throughput screeningmultifactorial genetics

Identifiers

PMID26864203
PMCPMC4780610
OpenAlexW2271163371

What OpenQuestion holds

Textmetadata
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.