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Project Publications: Texas A&M University: Single Cell, Multi-Parametric High Throughput Platform to Classify Endocrine Disruptor Potential of Mixtures

Superfund Research Program

Single Cell, Multi-Parametric High Throughput Platform to Classify Endocrine Disruptor Potential of Mixtures

Project Leader: Michael A. Mancini (Baylor College of Medicine)
Co-Investigators: Fabio Stossi (Baylor College of Medicine), Adam T. Szafran (Baylor College of Medicine)
Grant Number: P42ES027704
Funding Period: 2017-2022
View this project in the NIH Research Portfolio Online Reporting Tools (RePORT)

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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

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

  • Di Bona M, Mancini MA, Mazza D, Vicidomini G, Diaspro A, Lanzano L. 2019. Measuring Mobility in Chromatin by Intensity-Sorted FCS. Biophys J 116(6):P987-999. doi:10.1016/j.bpj.2019.02.003 PMID:30819566 PMCID:PMC6428914
  • Kuthurua S, Szafran AT, Stossi F, Mancini MA, Rao A. 2019. Leveraging image-derived phenotypic measurements for drug-target interaction predictions. Cancer Inform doi:10.1177/1176935119856595 PMID:31217689 PMCID:PMC6563400
  • Mukherjee R, Onel M, Beykal B, Szafran AT, Stossi F, Mancini MA, Zhou L, Wright FA, Pistikopoulos EN. 2019. Development of the Texas A&M Superfund Research Program computational platform for data integration, visualization, and analysis. Computer Aided Chemical Engineering 46:967-972. doi:10.1016/B978-0-12-818634-3.50162-4 PMID:31612156 PMCID:PMC6791821
  • Stossi F, Dandekar RD, Johnson H, Lavere P, Foulds CE, Mancini MG, Mancini MA. 2019. Tributyltin chloride (TBT) induces RXRA down-regulation and lipid accumulation in human liver cells. PLoS One 14:13. doi:10.1371/journal.pone.0224405 PMID:31710612 PMCID:PMC6844554
  • Xia J, Chiu L, Nehring R, Bravo Nunez M, Mei Q, Perez M, Zhai Y, Fitzgerald D, Pribis J, Wang Y, Hu C, Powell R, LaBonte S, Jalali A, Matadamas Guzman M, Lentzsch A, Szafran AT, Joshi M, Richters M, Gibson J, Frisch R, Hastings P, Bates D, Queitsch C, Hilsenbeck SG, Coarfa C, Hu JC, Siegele DA, Scott KL, Liang H, Mancini MA, Herman C, Miller KM, Rosenberg SM. 2019. Bacteria-to-human protein networks reveal origins of endogenous DNA damage. Cell 176(1-2):127-143. doi:10.1016/j.cell.2018.12.008 PMID:30633903 PMCID:PMC6344048

2018

  • Chowdhury P, Powell R, Stephan C, Uray I, Talley T, Karki M, Tripathi D, Park Y, Mancini MA, Davies P, Dere R. 2018. Bexarotene - a novel modulator of AURKA and the primary cilium in VHL-deficient cells. Journal of Cell Science 131(24):doi:10.1242/jcs.219923 PMID:30518623 PMCID:PMC6307881

2017

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