Evidence map›Paper›PMID 42649785›Full record

ArticleBioengineering (Basel, Switzerland)2026

A Scalable Bioreactor Platform for Reproducible Production and Characterization of Ovarian Cancer-Derived Extracellular Vesicles.

Wei Fu, Kalpana Deepa Priya Dorayappan, Colin Hisey, Lakshmi Narasimhan Chakrapani, Sydney Wiggins, Shyam Sundaram, Zachary Lambert, Kim Truc Nguyen, Sudhiksha Anbu Chelian, Eduardo Reategui and 2 more

Abstract read
In one paragraph

Article in Bioengineering (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

12 authors.

Wei FuDepartment of Biomedical Engineering, The Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0003-4581-8909
Kalpana Deepa Priya DorayappanDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.ORCID 0000-0003-2968-0874
Colin HiseyDepartment of Biomedical Engineering, The Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0001-8732-3600
Lakshmi Narasimhan ChakrapaniDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.ORCID 0000-0001-7540-039X
Sydney WigginsDepartment of Biomedical Engineering, The Ohio State University, Columbus, OH 43210, USA.ORCID 0009-0007-6039-8291
Shyam SundaramDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.ORCID 0009-0000-6869-2988
Zachary LambertDepartment of Biomedical Engineering, The Ohio State University, Columbus, OH 43210, USA.ORCID 0009-0003-4009-4769
Kim Truc NguyenWilliam G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH 43210, USA.
Sudhiksha Anbu ChelianDepartment of Health Sciences, The Ohio State University, Columbus, OH 43210, USA.ORCID 0009-0004-2784-7751
Eduardo ReateguiWilliam G. Lowrie Department of Chemical and Biomolecular Engineering, The Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0002-8271-8205
Karuppaiyah SelvendiranDepartment of Obstetrics and Gynecology, Division of Gynecologic Oncology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, USA.ORCID 0000-0002-8016-9134
Derek J HansfordDepartment of Biomedical Engineering, The Ohio State University, Columbus, OH 43210, USA.ORCID 0000-0002-0483-2715

Funding

Ovarian Cancer Research Alliance GR143575United States Army Medical Research and Development Command W81XWH2210371United States Army Medical Research and Development Command W81XWH2210656
6 · The paper itself

Abstract

Extracellular vesicles (EVs) from ovarian cancer cells are valuable sources for candidate biomarker studies, but conventional static flask culture yields limited material and is difficult to scale reproducibly. We evaluated a serum-free CELLine AD 1000 bioreactor workflow for producing EVs from four ovarian cancer-related (OC-related) cell lines (OVCAR4, CaOV3, PA1, SW626) and human dermal fibroblasts (HDFa) as a non-cancer control. Cells were adapted to CDM-HD serum-free medium and maintained for eight weeks with twice-weekly conditioned-medium collection. EVs were isolated by differential ultracentrifugation followed by size-exclusion chromatography and characterized by nanoparticle tracking analysis, imaging flow cytometry, Western blotting, and transmission and scanning electron microscopy. Across longitudinal harvests, OC-related cultures generally produced higher EV particle concentrations and A280-based bulk protein estimates than HDFa, while individual cell lines showed distinct production profiles and membrane-associated growth patterns. A parallel OVCAR4 T-175 flask, maintained in its original serum-containing medium, provided a contextual reference indicating higher per-collection EV particle recovery with the bioreactor, although this was not a matched culture-format comparison. EV-enriched preparations contained vesicle-like particles, with modal diameters of approximately 96-128 nm. Using imaging flow cytometry, the CD9 signal was higher in OC-related EVs and CD63 was most prominent in HDFa; CD9 and CD63 were also detected in OC-related EV lysates by Western blotting. Because one bioreactor was operated per cell line, these findings should be interpreted as preliminary and descriptive rather than statistically comparative. Overall, this study provides a practical serum-free CELLine AD 1000 workflow for generating characterized OC-related EV material for downstream analytical studies.

Indexed as

bioreactor cultureCELLine AD 1000extracellular vesiclesimaging flow cytometrynanoparticle tracking analysisovarian cancer-related cell linesserum-free culturesize-exclusion chromatographytetraspanins

Identifiers

PMID42649785
PMCPMC13510041

What Socratic 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 Socratic graph.