Detalhe da pesquisa
1.
Bacteria-to-Human Protein Networks Reveal Origins of Endogenous DNA Damage.
Cell
; 176(1-2): 127-143.e24, 2019 01 10.
Artigo
Inglês
| MEDLINE | ID: mdl-30633903
2.
PRSS50 is a testis protease responsible for proper sperm tail formation and function.
Development
; 148(8)2021 04 15.
Artigo
Inglês
| MEDLINE | ID: mdl-33913480
3.
Machine Learning Methods for Endocrine Disrupting Potential Identification Based on Single-Cell Data.
Chem Eng Sci
; 2812023 Nov 05.
Artigo
Inglês
| MEDLINE | ID: mdl-37637227
4.
Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms.
PLoS Comput Biol
; 16(9): e1008191, 2020 09.
Artigo
Inglês
| MEDLINE | ID: mdl-32970665
5.
High-Content Screening Identifies Src Family Kinases as Potential Regulators of AR-V7 Expression and Androgen-Independent Cell Growth.
Prostate
; 77(1): 82-93, 2017 01.
Artigo
Inglês
| MEDLINE | ID: mdl-27699828
6.
Use of HCA in subproteome-immunization and screening of hybridoma supernatants to define distinct antibody binding patterns.
Methods
; 96: 75-84, 2016 Mar 01.
Artigo
Inglês
| MEDLINE | ID: mdl-26521976
7.
A novel ERß high throughput microscopy platform for testing endocrine disrupting chemicals.
Heliyon
; 10(1): e23119, 2024 Jan 15.
Artigo
Inglês
| MEDLINE | ID: mdl-38169792
8.
SPACe (Swift Phenotypic Analysis of Cells): an open-source, single cell analysis of Cell Painting data.
bioRxiv
; 2024 Mar 26.
Artigo
Inglês
| MEDLINE | ID: mdl-38585902
9.
The activity of the androgen receptor variant AR-V7 is regulated by FOXO1 in a PTEN-PI3K-AKT-dependent way.
Prostate
; 73(3): 267-77, 2013 Feb 15.
Artigo
Inglês
| MEDLINE | ID: mdl-22821817
10.
Binary Classification of the Endocrine Disrupting Chemicals by Artificial Neural Networks.
ESCAPE
; 52: 2631-2636, 2023.
Artigo
Inglês
| MEDLINE | ID: mdl-37575176
11.
Sensitive image-based chromatin binding assays using inducible ERα to rapidly characterize estrogenic chemicals and mixtures.
iScience
; 25(10): 105200, 2022 Oct 21.
Artigo
Inglês
| MEDLINE | ID: mdl-36238893
12.
Quality Control for Single Cell Imaging Analytics Using Endocrine Disruptor-Induced Changes in Estrogen Receptor Expression.
Environ Health Perspect
; 130(2): 27008, 2022 02.
Artigo
Inglês
| MEDLINE | ID: mdl-35167326
13.
Endocrine disrupting chemicals differentially alter intranuclear dynamics and transcriptional activation of estrogen receptor-α.
iScience
; 24(11): 103227, 2021 Nov 19.
Artigo
Inglês
| MEDLINE | ID: mdl-34712924
14.
Predicting the Estrogen Receptor Activity of Environmental Chemicals by Single-Cell Image Analysis and Data-driven Modeling.
ESCAPE
; 50: 481-486, 2021.
Artigo
Inglês
| MEDLINE | ID: mdl-34355221
15.
Regulation of SRC-3 intercompartmental dynamics by estrogen receptor and phosphorylation.
Mol Cell Biol
; 27(19): 6913-32, 2007 Oct.
Artigo
Inglês
| MEDLINE | ID: mdl-17646391
16.
Single-Cell Distribution Analysis of AR Levels by High-Throughput Microscopy in Cell Models: Application for Testing Endocrine-Disrupting Chemicals.
SLAS Discov
; 25(7): 684-694, 2020 08.
Artigo
Inglês
| MEDLINE | ID: mdl-32552291
17.
A Mechanistic High-Content Analysis Assay Using a Chimeric Androgen Receptor That Rapidly Characterizes Androgenic Chemicals.
SLAS Discov
; 25(7): 695-708, 2020 08.
Artigo
Inglês
| MEDLINE | ID: mdl-32392092
18.
Leveraging Image-Derived Phenotypic Measurements for Drug-Target Interaction Predictions.
Cancer Inform
; 18: 1176935119856595, 2019.
Artigo
Inglês
| MEDLINE | ID: mdl-31217689
19.
Development of the Texas A&M Superfund Research Program Computational Platform for Data Integration, Visualization, and Analysis.
ESCAPE
; 46: 967-972, 2019.
Artigo
Inglês
| MEDLINE | ID: mdl-31612156
20.
Characterizing properties of non-estrogenic substituted bisphenol analogs using high throughput microscopy and image analysis.
PLoS One
; 12(7): e0180141, 2017.
Artigo
Inglês
| MEDLINE | ID: mdl-28704378