Evidence map›Paper›PMID 38931944›Full record

ArticlePharmaceutics2024

Dual-Omics Approach Unveils Novel Perspective on the Quality Control of Genetically Engineered Exosomes.

Christopher Olson, Konstantin Ivanov, Darin Boyes, David Bengford, Joy Ku, Renceh Flojo, Pengyang Zhang, Biao Lu

Abstract read
In one paragraph

Article in Pharmaceutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

8 authors.

Christopher OlsonDepartment of Bioengineering, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA.
Konstantin IvanovDepartment of Bioengineering, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA.
Darin BoyesDepartment of Biology, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA.
David BengfordDepartment of Bioengineering, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA.
Joy KuDepartment of Bioengineering, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA.
Renceh FlojoDepartment of Bioengineering, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA.
Pengyang ZhangDepartment of Bioengineering, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA.ORCID 0009-0003-1158-3651
Biao LuDepartment of Bioengineering, Santa Clara University, 500 El Camino Real, Santa Clara, CA 95053, USA.

Funding

Development of a novel exosome-based enzyme replacement therapy for the treatment of human lysosomal storage disease (LSDs)R15GM137449 · NIGMS · SANTA CLARA UNIVERSITY · PI LU, BIAO · 2020 to 2020
$411k
NIGMS NIH HHS R15GM137449
6 · The paper itself

Abstract

Exosomes, nanoscale vesicles derived from human cells, offer great promise for targeted drug delivery. However, their inherent diversity and genetic modifications present challenges in terms of ensuring quality in clinical use. To explore solutions, we employed advanced gene fusion and transfection techniques in human 293T cells to generate two distinct sets of genetically engineered samples. We used dual-omics analysis, combining transcriptomics and proteomics, to comprehensively assess exosome quality by comparing with controls. Transcriptomic profiling showed increased levels of engineering scaffolds in the modified groups, confirming the success of genetic manipulation. Through transcriptomic analysis, we identified 15 RNA species, including 2008 miRNAs and 13,897 mRNAs, loaded onto exosomes, with no significant differences in miRNA or mRNA levels between the control and engineered exosomes. Proteomics analysis identified changes introduced through genetic engineering and over 1330 endogenous exosome-associated proteins, indicating the complex nature of the samples. Further pathway analysis showed enrichment in a small subset of cellular signaling pathways, aiding in our understanding of the potential biological impacts on recipient cells. Detection of over 100 cow proteins highlighted the effectiveness of LC-MS for identifying potential contaminants. Our findings establish a dual-omics framework for the quality control of engineered exosome products, facilitating their clinical translation and therapeutic applications in nanomedicine.

Indexed as

exosomeextracellular vesiclesproteomicsquality controltranscriptomics

Identifiers

PMID38931944
PMCPMC11207238

What Socratic 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 Socratic graph.