Evidence map›Paper›PMID 40291685›Full record

ArticlebioRxiv : the preprint server for biology2025

Gas Vesicle-Expressing Human Pluripotent Stem Cells Enable Multimodal Ultrasound and Optical Coherence Tomographic Imaging.

Alessandro R Howells, John Kim, Sumin Park, Xueding Wang, Chengzhi Shi, Xiaojun Lance Lian

Abstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. 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

5 · Who and what money

Authors and funding

6 authors.

Alessandro R HowellsDepartment of Biomedical Engineering, Pennsylvania State University, University Park, PA, 16802, USA.
John KimDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Sumin ParkDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Xueding WangDepartment of Biomedical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Chengzhi ShiDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.
Xiaojun Lance LianDepartment of Biomedical Engineering, Pennsylvania State University, University Park, PA, 16802, USA.

Funding

Multimodal Molecular Imaging of Choroidal NeovascularizationR01EY034325 · NEI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Yannis Mantas Paulus, XUEDING WANG · 2023 to 2026
$2.5M
Nanowired hypoimmunogenic hPSC cardiac organoids for heart repairR01HL175050 · NHLBI · CLEMSON UNIVERSITY · PI XIAOJUN LIAN, Ying Mei · 2024 to 2026
$2.0M
ModRNA-based Direct Programming of Universal Donor hiPSCs into Immune Evasive Beta CellsR56DK133147 · NIDDK · PENNSYLVANIA STATE UNIVERSITY, THE · PI LIAN, XIAOJUN · 2023 to 2024
$465k
NEI NIH HHS R01 EY034325NHLBI NIH HHS R01 HL175050NIDDK NIH HHS R56 DK133147
6 · The paper itself

Abstract

Genetically encoded imaging reporters are critical tools for tracking cell fate and function in regenerative medicine. Gas vesicles (GVs), air-filled protein nanostructures derived from bacteria, offer unique advantages for noninvasive imaging due to their acoustic and optical properties. In this study, we engineered human pluripotent stem cells (hPSCs) to express GVs using a doxycycline-inducible system. Upon doxycycline (Dox) treatment, GVs formed intracellularly and enabled enhanced contrast in both ultrasound and optical coherence tomography (OCT) imaging. Dynamic ultrasound imaging revealed pressure-dependent GV buckling and harmonic signal generation, while OCT imaging confirmed high sensitivity and depth-resolved detection in both

Identifiers

PMID40291685
PMCPMC12027335

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.