Evidence map›Paper›PMID 36133441›Full record

ArticleNanoscale advances2022

Predictive high-throughput screening of PEGylated lipids in oligonucleotide-loaded lipid nanoparticles for neuronal gene silencing.

Apoorva Sarode, Yuchen Fan, Amy E Byrnes, Michal Hammel, Greg L Hura, Yige Fu, Ponien Kou, Chloe Hu, Flora I Hinz, Jasmine Roberts and 6 more

Open access · goldAbstract read
In one paragraph

Article in Nanoscale advances, 2022. 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
5.7field-weighted citation impact, top 3% 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

30 citing papers in PubMed, 69 citations in OpenAlex.

  1. Review
  2. Tissue-specific gene delivery approaches.Bioengineering & translational medicine · 2026
    Review
  3. Article
  4. Article
  5. Review
  6. High-Throughput Strategies for Streamlining Lipid Nanoparticle Development Pipeline.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Review
  12. Article
  13. Article
  14. Review
  15. Article
  16. In Silico Screening Accelerates Nanocarrier Design for Efficient mRNA Delivery.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024
    Article
  17. Review
  18. Tailoring lipid nanoparticles for T-cell targeting in allergic asthma: Insights into efficacy and specificity.European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V · 2024
    Article
  19. Article
  20. Review
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

16 authors at 1 institution in 1 country.

Apoorva SarodeSmall Molecule Pharmaceutical Sciences, Genentech Inc. 1 DNA Way South San Francisco CA-94080 USA yenc3@gene.com.ORCID https://orcid.org/0000-0003-4096-7534
Yuchen FanSmall Molecule Pharmaceutical Sciences, Genentech Inc. 1 DNA Way South San Francisco CA-94080 USA yenc3@gene.com.ORCID https://orcid.org/0000-0001-7868-2919
Amy E ByrnesDepartment of Neuroscience, Genentech, Inc. South San Francisco CA 94080 USA.
Michal HammelMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Lab Berkeley CA USA.
Greg L HuraMolecular Biophysics and Integrated Bioimaging Division, Lawrence Berkeley National Lab Berkeley CA USA.
Yige FuSmall Molecule Pharmaceutical Sciences, Genentech Inc. 1 DNA Way South San Francisco CA-94080 USA yenc3@gene.com.
Ponien KouSmall Molecule Pharmaceutical Sciences, Genentech Inc. 1 DNA Way South San Francisco CA-94080 USA yenc3@gene.com.
Chloe HuSmall Molecule Pharmaceutical Sciences, Genentech Inc. 1 DNA Way South San Francisco CA-94080 USA yenc3@gene.com.
Flora I HinzDepartment of Neuroscience, Genentech, Inc. South San Francisco CA 94080 USA.
Jasmine RobertsDepartment of Neuroscience, Genentech, Inc. South San Francisco CA 94080 USA.
Stefan G KoenigSmall Molecule Pharmaceutical Sciences, Genentech Inc. 1 DNA Way South San Francisco CA-94080 USA yenc3@gene.com.
Karthik NagapudiSmall Molecule Pharmaceutical Sciences, Genentech Inc. 1 DNA Way South San Francisco CA-94080 USA yenc3@gene.com.
Casper C HoogenraadDepartment of Neuroscience, Genentech, Inc. South San Francisco CA 94080 USA.
Tao ChenSmall Molecule Pharmaceutical Sciences, Genentech Inc. 1 DNA Way South San Francisco CA-94080 USA yenc3@gene.com.
Dennis LeungSmall Molecule Pharmaceutical Sciences, Genentech Inc. 1 DNA Way South San Francisco CA-94080 USA yenc3@gene.com.
Chun-Wan YenSmall Molecule Pharmaceutical Sciences, Genentech Inc. 1 DNA Way South San Francisco CA-94080 USA yenc3@gene.com.ORCID https://orcid.org/0000-0002-8222-335X
University of California, Santa Cruz · US

Funding

User Training and OutreachP30GM124169 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI PAUL David ADAMS, Gregory L Hura · 2017 to 2026
$28.6M
NIGMS NIH HHS P30 GM124169
6 · The paper itself

Abstract

Lipid nanoparticles (LNPs) are gaining traction in the field of nucleic acid delivery following the success of two mRNA vaccines against COVID-19. As one of the constituent lipids on LNP surfaces, PEGylated lipids (PEG-lipids) play an important role in defining LNP physicochemical properties and biological interactions. Previous studies indicate that LNP performance is modulated by tuning PEG-lipid parameters including PEG size and architecture, carbon tail type and length, as well as the PEG-lipid molar ratio in LNPs. Owing to these numerous degrees of freedom, a high-throughput approach is necessary to fully understand LNP behavioral trends over a broad range of PEG-lipid variables. To this end, we report a low-volume, automated, high-throughput screening (HTS) workflow for the preparation, characterization, and

Identifiers

PMID36133441
PMCPMC9417559
OpenAlexW4210772166

What OpenQuestion holds

Textmetadata
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.