Evidence map›Paper›PMID 39949489›Full record

ArticleCellular and molecular bioengineering2025

Empowering High Throughput Screening of 3D Models: Automated Dispensing of Cervical and Endometrial Cancer Cells.

Samantha Seymour, Ines Cadena, Mackenzie Johnson, Riya Thakkar, Molly Jenne, Iman Adem, Alyssa Almer, Rachael Frankovic, Danielle Spence, Andrea Haddadin and 1 more

Abstract read
In one paragraph

Article in Cellular and molecular bioengineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Samantha SeymourSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97330 USA.
Ines CadenaSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97330 USA.
Mackenzie JohnsonHP Inc., Corvallis, OR USA.
Riya ThakkarSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97330 USA.
Molly JenneSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97330 USA.
Iman AdemSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97330 USA.
Alyssa AlmerSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97330 USA.
Rachael FrankovicSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97330 USA.
Danielle SpenceSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97330 USA.
Andrea HaddadinSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97330 USA.
Kaitlin C FoggSchool of Chemical, Biological, and Environmental Engineering, Oregon State University, Corvallis, OR 97330 USA.ORCID 0000-0003-3572-778X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Cervical and endometrial cancers pose significant challenges in women's healthcare due to their high mortality rates and limited treatment options. High throughput screening (HTS) of cervical and endometrial cancer in vitro models offers a promising avenue for drug repurposing and broadening patient treatment options. Traditional two-dimensional (2D) cell-based screenings have limited capabilities to capture crucial multicellular interactions, that are improved upon in three dimensional (3D) multicellular tissue engineered models. However, manual fabrication of the 3D platforms is both time consuming and subject to variability. Thus, the goal of this study was to utilize automated cell dispensing to fabricate 3D cell-based HTS platforms using the HP D100 Single Cell Dispenser to dispense cervical and endometrial cancer cells. Methods: We evaluated the effects of automated dispensing of the cancer cell lines by tuning the dispensing protocol to align with cell size measured in solution and the minimum cell number for acceptable cell viability and proliferation. We modified our previously reported coculture models of cervical and endometrial cancer to be in a 384 well plate format and measured microvessel length and cancer cell invasion. Results: Automatically and manually dispensed cells were directly compared revealing minimal differences between the dispensing methods. These findings suggest that automated dispensing of cancer cells minimally affects cell behavior and can be deployed to decrease in vitro model fabrication time. Conclusions: By streamlining the manufacturing process, automated dispensing holds promise for enhancing efficiency and scalability of 3D in vitro HTS platforms, ultimately contributing to advancement in cancer research and treatment. Supplementary Information: The online version contains supplementary material available at 10.1007/s12195-024-00841-y.

Indexed as

3D printingBiofabricationBioprintingCancer engineeringTissue engineering

Identifiers

PMID39949489
PMCPMC11813830

What OpenQuestion holds

Textmetadata
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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.