日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:

Characterization of flavonoids with potent and subtype-selective actions on estrogen receptors alpha and beta.

对具有强效且亚型选择性作用于雌激素受体α和β的黄酮类化合物进行表征

Bolt Michael J, Oceguera Jessica, Singh Pankaj K, Safari Kazem, Abbott Derek H, Neugebauer Kaley A, Mancini Maureen G, Gorelick Daniel A, Stossi Fabio, Mancini Michael A

A novel ERβ high throughput microscopy platform for testing endocrine disrupting chemicals

一种用于检测内分泌干扰化学物质的新型ERβ高通量显微镜平台

Abbott, Derek A; Mancini, Maureen G; Bolt, Michael J; Szafran, Adam T; Neugebauer, Kaley A; Stossi, Fabio; Gorelick, Daniel A; Mancini, Michael A

SPACe (Swift Phenotypic Analysis of Cells): an open-source, single cell analysis of Cell Painting data

SPACe(细胞快速表型分析):一种开源的单细胞细胞涂染数据分析工具

Stossi, Fabio; Singh, Pankaj K; Marini, Michela; Safari, Kazem; Szafran, Adam T; Tostado, Alejandra Rivera; Candler, Christopher D; Mancini, Maureen G; Mosa, Elina A; Bolt, Michael J; Labate, Demetrio; Mancini, Michael A

Gene transcription regulation by ER at the single cell and allele level

内质网在单细胞和等位基因水平上的基因转录调控

Stossi, Fabio; Rivera Tostado, Alejandra; Johnson, Hannah L; Mistry, Ragini M; Mancini, Maureen G; Mancini, Michael A

Endocrine disrupting chemicals differentially alter intranuclear dynamics and transcriptional activation of estrogen receptor-α

内分泌干扰物对雌激素受体α的核内动力学和转录激活具有不同的影响。

Bolt, Michael J; Singh, Pankaj; Obkirchner, Caroline E; Powell, Reid T; Mancini, Maureen G; Szafran, Adam T; Stossi, Fabio; Mancini, Michael A

Estrogen-induced transcription at individual alleles is independent of receptor level and active conformation but can be modulated by coactivators activity

雌激素诱导的单个等位基因转录与受体水平和活性构象无关,但可被辅激活因子活性调节。

Stossi, Fabio; Dandekar, Radhika D; Mancini, Maureen G; Gu, Guowei; Fuqua, Suzanne A W; Nardone, Agostina; De Angelis, Carmine; Fu, Xiaoyong; Schiff, Rachel; Bedford, Mark T; Xu, Wei; Johansson, Hans E; Stephan, Clifford C; Mancini, Michael A

Classification of estrogenic compounds by coupling high content analysis and machine learning algorithms

结合高内涵分析和机器学习算法对雌激素化合物进行分类

Mukherjee, Rajib; Beykal, Burcu; Szafran, Adam T; Onel, Melis; Stossi, Fabio; Mancini, Maureen G; Lloyd, Dillon; Wright, Fred A; Zhou, Lan; Mancini, Michael A; Pistikopoulos, Efstratios N

A Mechanistic High-Content Analysis Assay Using a Chimeric Androgen Receptor That Rapidly Characterizes Androgenic Chemicals

一种利用嵌合雄激素受体快速表征雄激素化学物质的机制性高内涵分析检测方法

Szafran, Adam T; Bolt, Michael J; Obkirchner, Caroline E; Mancini, Maureen G; Helsen, Christine; Claessens, Frank; Stossi, Fabio; Mancini, Michael A

Single-Cell Distribution Analysis of AR Levels by High-Throughput Microscopy in Cell Models: Application for Testing Endocrine-Disrupting Chemicals

利用高通量显微镜对细胞模型中雄激素受体(AR)水平进行单细胞分布分析:在内分泌干扰化学物质测试中的应用

Stossi, Fabio; Mistry, Ragini M; Singh, Pankaj K; Johnson, Hannah L; Mancini, Maureen G; Szafran, Adam T; Mancini, Michael A

Single Cell Analysis Of Transcriptionally Active Alleles By Single Molecule FISH.

利用单分子FISH技术对转录活跃等位基因进行单细胞分析

Mistry Ragini M, Singh Pankaj K, Mancini Maureen G, Stossi Fabio, Mancini Michael A