Evidence map›Paper›PMID 36893267›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Visualizing cell-cell communication using synthetic notch activated MRI.

TianDuo Wang, Yuanxin Chen, Nivin N Nystrom, Shirley Liu, Yanghao Fu, Francisco M Martinez, Timothy J Scholl, John A Ronald

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

12 citing papers in PubMed, 20 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Article
  6. A Genetically Engineered Reporter System Designed forJournal of the American Chemical Society · 2024
    Article
  7. Article
  8. Article
  9. Article
  10. Study Deciphering the Crucial Involvement of Notch Signaling Pathway in Human Cancers.Endocrine, metabolic & immune disorders drug targets · 2024
    Review
  11. Article
  12. 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 at 3 institutions in 1 country.

TianDuo WangDepartment of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, ON N6A 3K7, Canada.ORCID 0000-0003-3523-175X
Yuanxin ChenImaging Laboratories, Robarts Research Institute, London, ON N6A 5B7, Canada.ORCID 0000-0002-9974-5525
Nivin N NystromDepartment of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, ON N6A 3K7, Canada.
Shirley LiuDepartment of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, ON N6A 3K7, Canada.
Yanghao FuDepartment of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, ON N6A 3K7, Canada.ORCID 0000-0001-9548-0374
Francisco M MartinezDepartment of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, ON N6A 3K7, Canada.ORCID 0000-0001-6623-8423
Timothy J SchollDepartment of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, ON N6A 3K7, Canada.ORCID 0000-0002-0807-363X
John A RonaldDepartment of Medical Biophysics, Schulich School of Medicine & Dentistry, Western University, London, ON N6A 3K7, Canada.ORCID 0000-0003-3665-173X
Western University · CAOntario Institute for Cancer Research · CARobarts Clinical Trials · CA

Funding

Canadian Institute of Health Research 202104PJT-462838National Science and Engineering Research Council (Canadian Graduate Scholarship - Doctoral) PGSD3 - 548041 - 2020
6 · The paper itself

Abstract

Cell-cell communication plays a fundamental role in multicellular organisms. Cell-based cancer immunotherapies rely on the ability of innate or engineered receptors on immune cells to engage specific antigens on cancer cells to induce tumor kill. To improve the development and translation of these therapies, imaging tools capable of noninvasively and spatiotemporally visualizing immune-cancer cell interactions would be highly valuable. Using the synthetic Notch (SynNotch) system, we engineered T cells that upon interaction with a chosen antigen (CD19) on neighboring cancer cells induce the expression of optical reporter genes and the human-derived, magnetic resonance imaging (MRI) reporter gene organic anion transporting polypeptide 1B3 (OATP1B3). Administration of engineered T cells induced the antigen-dependent expression of all our reporter genes in mice bearing CD19-positive tumors but not CD19-negative tumors. Notably, due to the high spatial resolution and tomographic nature of MRI, contrast-enhanced foci within CD19-positive tumors representing OATP1B3-expressing T cells were clearly visible and their distribution was readily mapped. We then extended this technology onto human natural killer-92 (NK-92) cells, observing similar CD19-dependent reporter activity in tumor-bearing mice. Furthermore, we show that when delivered intravenously, engineered NK-92 cells can be detected via bioluminescence imaging in a systemic cancer model. With continued work, this highly modular imaging strategy could aid in the monitoring of cell therapies in patients and, beyond this, augment our understanding of how different cell populations interact within the body during normal physiology or disease.

Indexed as

NeoplasmsOrganic Anion TransportersAnimalsCell Line, TumorGenes, ReporterHumansKiller Cells, NaturalMagnetic Resonance ImagingMiceOrganic Anion Transporterscell–cell communicationcell therapyMRIreporter genesynthetic Notch

Identifiers

PMID36893267
PMCPMC10089199
OpenAlexW4323656721

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.