An immunogenic cell injury module for the single-cell multiplexed activity metabolomics platform to identify promising anti-cancer natural products
Open accessAbstract
Natural products constitute and significantly impact many current anti-cancer medical interventions. A subset of natural products induces injury processes in malignant cells that recruit and activate host immune cells to produce an adaptive anti-cancer immune response, a process known as immunogenic cell death. However, a challenge in the field is to delineate forms of cell death and injury that best promote durable antitumor immunity. Addressing this with a single-cell chemical biology natural product discovery platform, like multiplex activity metabolomics, would be especially valuable in human leukemia, where cancer cells are heterogeneous and may react differently to the same compounds. Herein, a new ten-color, fluorescent cell barcoding-compatible module measuring six immunogenic cell injury signaling readouts are as follows: DNA damage response (γH2AX), apoptosis (cCAS3), necroptosis (p-MLKL), mitosis (p-Histone H3), autophagy (LC3), and the unfolded protein response (p-EIF2α). A proof-of-concept screen was performed to validate functional changes in single cells induced by secondary metabolites with known mechanisms within bacterial extracts. This assay was then applied in multiplexed activity metabolomics to reveal an unexpected mammalian cell injury profile induced by the natural product narbomycin. Finally, the functional consequences of injury pathways on immunogenicity were compared with three canonical assays for immunogenic hallmarks, ATP, HMGB1, and calreticulin, to correlate secondary metabolite-induced cell injury profiles with canonical markers of immunogenic cell death. In total, this work demonstrated a new phenotypic screen for discovery of natural products that modulate injury response pathways that can contribute to cancer immunogenicity.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Multiplexed activity metabolomics was pioneered in 2018 and has since been used to find anti-cancer natural products.
“This technique was pioneered in 2018 (ref. 23) and has since then been used to find anti-cancer natural products.”
From Connecting metabolome and phenotype: recent advances in functional metabolomics tools for the identification of bioactive natural products (2024) · cites this paper as [62]
The References list a 2018 study using single-cell multiplexed activity metabolomics, but the cited paper does not establish that the technique was pioneered that year. Its Results section reports using the technique to identify narbomycin in a bioactive extract, supporting the later-use portion of the claim. (LLM, conf=0.82)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 76 · Cited by 12
- Authors
- Balsamo, J. A., Penton, K. E., Zhao, Z., Hayes, M. J., Lima, S. M., Irish, J. M., & Bachmann, B. O.
- Affiliations
- Vanderbilt University (US)
- Corresponding author
- Bachmann, Brian O.
- ORCID
- Venue
- Journal of Biological Chemistry
- Publisher
- Elsevier BV
- Published
- 2022-09
- Volume
- 298
- Issue
- 9
- Pages
- 102300
- ISSN
- 0021-9258 (ISSN-L)
- PMC
- PMC9424577
- OpenAlex
- W4289525514
- Cited by
- 12
- References
- 76
- Citations by year
- 2026: 3 · 2025: 2 · 2024: 5 · 2023: 2
- FWCI
- 0.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Journal of Biological Chemistry (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (R01 CA226833, T32 GM07628)
- NCI (R01 GM092218)
- Vanderbilt-Ingram Cancer Center (P30 CA68485)
- Vanderbilt Digestive Diseases Research Center, Vanderbilt University Medical Center (DK058404)
- Topics
- Health Sciences › Medicine › Oncology › Cancer Immunotherapy and Biomarkers
- Life Sciences › Immunology and Microbiology › Immunology › Immunotherapy and Immune Responses
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Cell death mechanisms and regulation
- Keywords
- immunogenic cell death, natural products, anticancer drug discovery, DNA damage response, apoptosis, necroptosis, autophagy, unfolded protein response, bacterial secondary metabolites, leukemia, HMGB1, calreticulin, ATP release
- MeSH terms
- Adenosine Triphosphate, Animals, Antineoplastic Agents, Biological Products, Histones, Humans, Neoplasms, Biomarkers, Cell Death, HMGB1 Protein, Calreticulin, Metabolomics, Single-Cell Analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review