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Your Environment. Your Health.

Person Details: Fabio Stossi

Superfund Research Program

Fabio Stossi

Baylor College of Medicine
One Baylor Plaza
BCMC-132C
Cullen Building
Houston, Texas 77030-0000
Phone: 713-798-5589
Email: stossi@bcm.edu

Projects

Publications

2022

  • Stossi F, Singh PK, Mistry R, Johnson H, Dandekar RD, Mancini MG, Szafran AT, Rao A, Mancini MA. 2022. Quality control for single cell imaging analytics using endocrine disruptor-induced changes in estrogen receptor expression. Environ Health Perspect 130(2):27008. doi:10.1289/EHP9297 PMID:35167326 PMCID:PMC8846386
  • Szafran AT, Mancini MG, Stossi F, Mancini MA. 2022. Sensitive image-based chromatin binding assays using inducible ER-alpha to rapidly characterize estrogenic chemicals and mixtures. iScience 25(10):105200. doi:10.1016/j.isci.2022.105200 PMID:36238893 PMCID:PMC9550643

2021

2020

  • Mistry R, Singh PK, Mancini MG, Stossi F, Mancini MA. 2020. Single cell analysis of transcriptionally active alleles by single molecule FISH. J Vis Exp 163:doi:10.3791/61680 PMID:33016938 PMCID:PMC8549401
  • Mukherjee R, Beykal B, Szafran AT, Onel M, Stossi F, Mancini MG, Lloyd D, Wright FA, Zhou L, Mancini MA, Pistikopoulos EN. 2020. Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms. PLoS Comput Biol 16:24. doi:10.1371/journal.pcbi.1008191 PMID:32970665 PMCID:PMC7538107
  • Stossi F, Dandekar RD, Mancini MG, Gu G, Fuqua SA, Nardone A, De Angelis C, Fu X, Schiff R, Bedford MT, Xu W, Johansson HE, Stephan C, Mancini MA. 2020. Estrogen-induced transcription at individual alleles is independent of receptor level and active conformation but can be modulated by coactivators activity. Nucleic Acids Res 48:1800-1810. doi:10.1093/nar/gkz1172 PMID:31930333 PMCID:PMC7039002
  • Stossi F, Mistry R, Singh PK, Johnson H, Mancini MG, Szafran AT, Mancini MA. 2020. Single cell distribution analysis of AR levels by high throughput microscopy in cell models: Application for testing endocrine disrupting chemicals. SLAS Discov 11:doi:10.1177/2472555220934420 PMID:32552291
  • Szafran AT, Bolt MJ, Obkirchner CE, Mancini MG, Helsen C, Claessens F, Stossi F, Mancini MA. 2020. A mechanistic high-content analysis assay using a chimeric androgen receptor that rapidly characterizes androgenic chemicals. SLAS Discov 14:doi:10.1177/2472555220922917 PMID:32392092

2019

2017

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