Evidence map›Paper›PMID 31372658›Full record

ArticleNucleic acids research2019

A 'poly-transfection' method for rapid, one-pot characterization and optimization of genetic systems.

Jeremy J Gam, Breanna DiAndreth, Ross D Jones, Jin Huh, Ron Weiss

Abstract read
In one paragraph

Article in Nucleic acids research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
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  6. Reversing transgene silencing via targeted chromatin editing.bioRxiv : the preprint server for biology · 2025
    Article
  7. Article
  8. Review
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  11. Article
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  14. Accelerating Diverse Cell-Based Therapies Through Scalable Design.Annual review of chemical and biomolecular engineering · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
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

5 authors.

Jeremy J GamDepartment of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Breanna DiAndrethDepartment of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Ross D JonesDepartment of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Jin HuhDepartment of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.
Ron WeissDepartment of Biological Engineering, Massachusetts Institute of Technology (MIT), Cambridge, MA 02139, USA.

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
RNA circuits for cell state determination in mammalian cells in vitro and in vivoR01CA207029 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WEISS, RON · 2016 to 2020
$3.0M
Genetic circuits for high-throughput, multi-sensory, live cell microRNA profR01CA173712 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI WEISS, RON · 2013 to 2017
$2.5M
NCI NIH HHS P30 CA014051NCI NIH HHS R01 CA173712NCI NIH HHS R01 CA207029NIGMS NIH HHS P50 GM098792
6 · The paper itself

Abstract

Biological research is relying on increasingly complex genetic systems and circuits to perform sophisticated operations in living cells. Performing these operations often requires simultaneous delivery of many genes, and optimizing the stoichiometry of these genes can yield drastic improvements in performance. However, sufficiently sampling the large design space of gene expression stoichiometries in mammalian cells using current methods is cumbersome, complex, or expensive. We present a 'poly-transfection' method as a simple yet high-throughput alternative that enables comprehensive evaluation of genetic systems in a single, readily-prepared transfection sample. Each cell in a poly-transfection represents an independent measurement at a distinct gene expression stoichiometry, fully leveraging the single-cell nature of transfection experiments. We first benchmark poly-transfection against co-transfection, showing that titration curves for commonly-used regulators agree between the two methods. We then use poly-transfections to efficiently generate new insights, for example in CRISPRa and synthetic miRNA systems. Finally, we use poly-transfection to rapidly engineer a difficult-to-optimize miRNA-based cell classifier for discriminating cancerous cells. One-pot evaluation enabled by poly-transfection accelerates and simplifies the design of genetic systems, providing a new high-information strategy for interrogating biology.

Indexed as

AnimalsCRISPR-Cas SystemsGene ExpressionHigh-Throughput Screening AssaysHumansMicroRNAsTransfectionMicroRNAs

Identifiers

PMID31372658
PMCPMC6765116

What OpenQuestion holds

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LicenceCC BY-NC
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.