The DOI matches its Crossref record; its reference list is not available.
Identification of Functional Genetic Components Modulating Toxicity Response to PFOS using Genome-wide CRISPR Screens in HepG2/C3A cells
Open accessPreprint — published as 10.1007/s00204-025-04294-8 · Paper page
Abstract
Perfluorooctane sulfonate (PFOS) poses significant health and environmental risks due to its persistence and widespread use and has been linked to various adverse outcomes, such as liver toxicity. Although the molecular responses and toxicity effects of PFOS exposure have been extensively studied, considerable uncertainty remains regarding the causal mechanisms leading to PFOS-associated adverse effects. To help bridge this gap, we conducted CRISPR screens in HepG2/C3A human liver cells exposed to IC 25 (170 µM) of PFOS to identify genes and pathways influencing PFOS-induced cytotoxicity. Using a genome-wide CRISPR knockout library targeting 18,819 genes, we identified 340 candidate genes that modulate PFOS-induced cytotoxicity when genetically disrupted (189 gene disruptions increased sensitivity and 151 gene disruptions increased resistance). From these candidate genes, we individually disrupted two candidate genes, SLC6A9 which encodes the glycine transporter GlyT1, and CPSF2 , and confirmed increased resistance to PFOS exposure. Further, molecular docking analysis predicts that PFOS directly binds to GlyT1 and functional inhibition of GlyT1 also increases resistance to PFOS exposure. Gene-Disease outcome association analysis using the Comparative Toxicogenomics Database (CTD) indicated an enrichment of candidate genes associated with cancer-related and liver disease phenotypes. KEGG and STRING enrichment analyses found over representation of several biological pathways including DNA damage response and cell cycle. Lastly, cross-species conservation analysis using the top two validated gene targets found that their pathways were highly conserved in several environmentally relevant species. These findings provide new mechanistic and functional insights into PFOS-induced cytotoxicity, highlight potential molecular targets for toxicity mitigation, and establish a foundation for cross-species toxicogenomic modeling of PFOS health effects.
Overview
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
Verification
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.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
No citation lists for this paper
No citation lists for this paper yet — checked again daily.
References 83 · Cited by 1
Research works printed but not linked: 75
- 10.1093/toxsci/kfad044 · DOI
- 10.1124/mol.60.6.1414 · DOI
- 10.1021/acs.est.3c05974 · DOI
- 10.4254/wjh.v6.i6.394 · DOI
- 10.1016/j.tox.2011.06.012 · DOI
- 10.1186/s12940-022-00892-6 · DOI
- 10.1016/j.tox.2012.01.003 · DOI
- 10.1007/s13181-011-0172-4 · DOI
- 10.1093/jpp/rgae051 · DOI
- 10.1021/acs.est.2c04107 · DOI
- 10.1289/EHP10092 · DOI · Paper page
- 10.1007/s00244-008-9194-6 · DOI · Paper page
- 10.1016/j.jhazmat.2015.06.031 · DOI
- 10.1016/j.tiv.2022.105475 · DOI
- 10.1093/nar/gkae883 · DOI
- 10.1289/EHP11360 · DOI
- 10.1042/BST20210323 · DOI
- 10.1186/s12940-022-00958-5 · DOI
- 10.1093/toxsci/kfaf066 · DOI
- 10.1016/j.taap.2022.116136 · DOI · Paper page
- 10.1002/etc.4890 · DOI · Paper page
- 10.1016/j.addr.2017.01.005 · DOI
- 10.1016/j.ebiom.2023.104831 · DOI
- 10.1016/j.envint.2020.106123 · DOI · Paper page
- 10.1186/s13059-021-02268-4 · DOI
- 10.1113/jphysiol.2009.186262 · DOI
- 10.1007/s40726-023-00269-4 · DOI · Paper page
- 10.1016/j.envres.2022.113431 · DOI
- 10.1177/07482337241277259 · DOI
- 10.1038/nprot.2017.016 · DOI · Paper page
- 10.1016/j.envpol.2021.116929 · DOI
- 10.1080/10915810252825975 · DOI
- 10.1007/s13273-018-0019-z · DOI
- 10.1016/j.envpol.2024.124030 · DOI
- 10.1186/s13059-014-0554-4 · DOI · Paper page
- 10.1002/jat.4383 · DOI
- 10.1016/j.envpol.2016.04.089 · DOI
- 10.1261/rna.080108.124 · DOI
- 10.1007/s00204-020-02808-0 · DOI
- 10.1007/s00204-023-03450-2 · DOI
- 10.1016/j.tox.2024.153961 · DOI
- 10.1038/84298 · DOI
- 10.1016/j.taap.2020.115250 · DOI
- 10.1016/B978-0-12-800249-0.00005-6 · DOI
- 10.1093/toxsci/kfq322 · DOI
- 10.1016/j.ecoenv.2022.113980 · DOI
- 10.1016/j.envint.2013.06.004 · DOI · Paper page
- 10.1093/toxsci/kfaa172 · DOI
- 2012, Chemical-induced DNA Damage and Human Cancer Risk, Discovery medicine, 14, 283
- 10.1021/cen-10002-cover13 · DOI
- 10.1016/j.envint.2023.108197 · DOI
- 10.1002/etc.5600 · DOI
- 2002, Use of genomic data in risk assessment, Genome Biology, 3, 4
- 10.1093/toxsci/kfab039 · DOI
- 10.1093/toxsci/kfaa071 · DOI
- 10.1038/s41370-018-0060-y · DOI
- 10.3389/fenvs.2024.1303705 · DOI
- 10.1016/j.scitotenv.2023.168573 · DOI
- 10.1093/toxsci/kfz037 · DOI
- 10.1038/s41598-017-16193-9 · DOI
- 10.1016/j.envres.2020.110690 · DOI
- 10.1093/nar/gkac1000 · DOI · Paper page
- 10.1371/journal.pone.0294236 · DOI
- 10.1016/B978-0-12-382032-7.10047-5 · DOI
- 10.1093/toxsci/kfae061 · DOI
- 10.3389/fvets.2022.1014286 · DOI
- 10.1016/j.ecoenv.2023.115663 · DOI
- 10.1016/j.cell.2024.02.026 · DOI
- 10.1289/EHP13174 · DOI · Paper page
- 10.1016/j.ecoenv.2024.117524 · DOI
- 10.1016/S1470-2045(23)00622-8 · DOI · Paper page
- 10.1016/j.envint.2019.03.002 · DOI
- 10.1016/j.jhepr.2023.100694 · DOI
- 10.1126/science.1200508 · DOI
- 10.1016/j.chemosphere.2020.128701 · DOI
Metadata
- Authors
- Kim, C., Tagmount, A., Zhu, Z., Wilson, F., Li, D., Ostrov, D. A., Barbazuk, W. B., Bacher, R., & Vulpe, C. D.
- Affiliations
- University of Florida (US)
- Corresponding author
- Kim, Chanhee
- ORCID
- Venue
- Archives of Toxicology
- Publisher
- openRxiv
- Published
- 2025-12-19
- Volume
- 100
- Issue
- 4
- Pages
- 1391-1410
- ISSN
- 0340-5761 (ISSN-L)
- PMC
- PMC12724516
- OpenAlex
- W7125790313
- Cited by
- 1
- References
- 83
- Citations by year
- 2026: 1
- FWCI
- 1.92
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Archives of Toxicology (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- National Institute of General Medical Sciences (R35GM146895)
- National Institute of Environmental Health Sciences (R01ES033625)
- Topics
- Physical Sciences › Environmental Science › Environmental Chemistry › Per- and polyfluoroalkyl substances research
- Physical Sciences › Environmental Science › Health, Toxicology and Mutagenesis › Toxic Organic Pollutants Impact
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Carcinogens and Genotoxicity Assessment
- Keywords
- PFOS, PFOS toxicity, hepatotoxicity, cytotoxicity, CRISPR knockout screen, SLC6A9, glycine transporter 1, glycine transporter, gene disruption, DNA damage response, cell cycle, cross-species conservation, toxicogenomics, liver cancer, perfluorinated compounds
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