Evidence map›Paper›PMID 28167778›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Barcoded nanoparticles for high throughput in vivo discovery of targeted therapeutics.

James E Dahlman, Kevin J Kauffman, Yiping Xing, Taylor E Shaw, Faryal F Mir, Chloe C Dlott, Robert Langer, Daniel G Anderson, Eric T Wang

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 178 papers.

0numbers the graph read from it
0cells of the map it votes in
178citing 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

178 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Towards mRNA therapeutics 2.0.Nature reviews. Drug discovery · 2026
    Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Tissue-specific gene delivery approaches.Bioengineering & translational medicine · 2026
    Review
  17. Article
  18. Article
  19. Optimizing C14120-based LNPs forMolecular therapy. Nucleic acids · 2026
    Article
  20. Article

118 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.

James E DahlmanHarvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139; james.dahlman@bme.gatech.edu rlanger@mit.edu dgander@mit.edu eric.t.wang@ufl.edu.
Kevin J KauffmanDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139.
Yiping XingHarvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139.
Taylor E ShawHarvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139.
Faryal F MirDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139.
Chloe C DlottDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139.
Robert LangerHarvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139.
Daniel G AndersonHarvard-MIT Division of Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA 02139; james.dahlman@bme.gatech.edu rlanger@mit.edu dgander@mit.edu eric.t.wang@ufl.edu.
Eric T WangDavid H. Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA 02139; james.dahlman@bme.gatech.edu rlanger@mit.edu dgander@mit.edu eric.t.wang@ufl.edu.

Funding

VIRUS PRODUCTION COREP30CA014051 · NCI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI Andreea O'Connell · 1985 to 2026
$93.9M
Ppst-transcriptional regulation of gene expression in neuromuscular diseaseDP5OD017865 · OD · UNIVERSITY OF FLORIDA · PI WANG, ERIC T · 2013 to 2017
$2.0M
NCI NIH HHS P30 CA014051NIH HHS DP5 OD017865
6 · The paper itself

Abstract

Nucleic acid therapeutics are limited by inefficient delivery to target tissues and cells and by an incomplete understanding of how nanoparticle structure affects biodistribution to off-target organs. Although thousands of nanoparticle formulations have been designed to deliver nucleic acids, most nanoparticles have been tested in cell culture contexts that do not recapitulate systemic in vivo delivery. To increase the number of nanoparticles that could be tested in vivo, we developed a method to simultaneously measure the biodistribution of many chemically distinct nanoparticles. We formulated nanoparticles to carry specific nucleic acid barcodes, administered the pool of particles, and quantified particle biodistribution by deep sequencing the barcodes. This method distinguished previously characterized lung- and liver- targeting nanoparticles and accurately reported relative quantities of nucleic acid delivered to tissues. Barcode sequences did not affect delivery, and no evidence of particle mixing was observed for tested particles. By measuring the biodistribution of 30 nanoparticles to eight tissues simultaneously, we identified chemical properties promoting delivery to some tissues relative to others. Finally, particles that distributed to the liver also silenced gene expression in hepatocytes when formulated with siRNA. This system can facilitate discovery of nanoparticles targeting specific tissues and cells and accelerate the study of relationships between chemical structure and delivery in vivo.

Indexed as

AnimalsCell SeparationDNA Barcoding, TaxonomicDrug Delivery SystemsDrug DiscoveryFactor VIIFemaleFlow CytometryLiverLungMiceMice, Inbred C57BLMolecular Targeted TherapyNanoparticlesNucleic AcidsPharmaceutical PreparationsFactor VIINucleic AcidsPharmaceutical PreparationsRNA, Small Interferingbarcodedrug deliverygene therapynanoparticlenanotechnology

Identifiers

PMID28167778
PMCPMC5338412

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.