Evidence map›Paper›PMID 28855514›Full record

ArticleNature communications2017

Hit-and-run programming of therapeutic cytoreagents using mRNA nanocarriers.

H F Moffett, M E Coon, S Radtke, S B Stephan, L McKnight, A Lambert, B L Stoddard, H P Kiem, M T Stephan

Abstract read
In one paragraph

Article in Nature communications, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing 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

92 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Beyond autologousMolecular therapy. Oncology · 2026
    Review
  10. Review
  11. Delivery platforms forFrontiers in immunology · 2026
    Review
  12. Frontiers in immunology · 2026
    Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Review
  18. Strategies for Altering Delivery Technologies to Optimize CAR Therapy.International journal of molecular sciences · 2025
    Review
  19. Polymeric nanocarriers for therapeutic gene delivery.Asian journal of pharmaceutical sciences · 2025
    Review
  20. Biomacromolecules · 2025
    Review

32 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

9 authors.

H F MoffettClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.ORCID http://orcid.org/0000-0002-7799-1688
M E CoonClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
S RadtkeClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
S B StephanClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
L McKnightClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
A LambertDivision of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
B L StoddardDivision of Basic Sciences, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
H P KiemClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA.
M T StephanClinical Research Division, Fred Hutchinson Cancer Research Center, Seattle, WA, 98109, USA. mstephan@fredhutch.org.ORCID http://orcid.org/0000-0001-8310-0100

Funding

Translational Bioimaging Core Shared ResourceP30CA015704 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI Marian Esvelt · 1985 to 2026
$296.4M
Stem Cell and Transplantation BiologyU54DK106829 · NIDDK · FRED HUTCHINSON CANCER RESEARCH CENTER · PI DEREK L STIREWALT · 2015 to 2026
$9.1M
MegaTALS: hyperspecific reagents for targeted gene modification and correctionR01GM105691 · NIGMS · FRED HUTCHINSON CANCER RESEARCH CENTER · PI STODDARD, BARRY L. · 2014 to 2022
$2.7M
Generating rapid antitumor immunity with lymphocyte-reprogramming nanocarriersR01CA207407 · NCI · FRED HUTCHINSON CANCER RESEARCH CENTER · PI STEPHAN, MATTHIAS · 2017 to 2021
$1.8M
NCI NIH HHS P30 CA015704NCI NIH HHS R01 CA207407NIDDK NIH HHS U54 DK106829NIGMS NIH HHS R01 GM105691
6 · The paper itself

Abstract

Therapies based on immune cells have been applied for diseases ranging from cancer to diabetes. However, the viral and electroporation methods used to create cytoreagents are complex and expensive. Consequently, we develop targeted mRNA nanocarriers that are simply mixed with cells to reprogram them via transient expression. Here, we describe three examples to establish that the approach is simple and generalizable. First, we demonstrate that nanocarriers delivering mRNA encoding a genome-editing agent can efficiently knock-out selected genes in anti-cancer T-cells. Second, we imprint a long-lived phenotype exhibiting improved antitumor activities into T-cells by transfecting them with mRNAs that encode a key transcription factor of memory formation. Third, we show how mRNA nanocarriers can program hematopoietic stem cells with improved self-renewal properties. The simplicity of the approach contrasts with the complex protocols currently used to program therapeutic cells, so our methods will likely facilitate manufacturing of cytoreagents.Current widely used viral and electroporation methods for creating therapeutic cell-based products are complex and expensive. Here, the authors develop targeted mRNA nanocarriers that can transiently program gene expression by simply mixing them with cells, to improve their therapeutic potential.

Indexed as

Cellular Reprogramming TechniquesAnimalsCell- and Tissue-Based TherapyFemaleGene EditingGene Knockout TechniquesGenomic ImprintingHematopoietic Stem CellsHumansJurkat CellsK562 CellsLeukocytes, MononuclearMice, Inbred NODNanoparticlesProof of Concept StudyRNA, MessengerRNA, MessengerTranscription Factors

Identifiers

PMID28855514
PMCPMC5577173

What OpenQuestion holds

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LicenceCC BY
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.