Literature DB >> 24547743

The myImageAnalysis project: a web-based application for high-content screening.

Adam T Szafran1, Michael A Mancini.   

Abstract

A major challenge faced by screening centers developing image-based assays is the wide range of assays needed compared to the limited resources that are available to effectively analyze and manage them. To overcome this limitation, we have developed the web-based myImageAnalysis (mIA) application, integrated with an open database connectivity compliant database and powered by Pipeline Pilot (PLP) that incorporates dataset tracking, scheduling and archiving, image analysis, and data reporting. For system administrators, mIA provides automated methods for managing and archiving data. For the biologist, this application allows those without any programming or image analysis experience to quickly develop, validate, and share results of complex image-based assays. Further, the structure of the application within PLP allows those with experience in PLP programming to easily add additional analysis tools as required. The tools within mIA allow users to assess basic (cell count, protein per cell, protein subcellular localization) and more advanced (engineered cell lines analysis, cell toxicity) biological image-based assays that employ advanced statistics and provides key assay performance metrics.

Entities:  

Mesh:

Year:  2014        PMID: 24547743      PMCID: PMC3934667          DOI: 10.1089/adt.2013.532

Source DB:  PubMed          Journal:  Assay Drug Dev Technol        ISSN: 1540-658X            Impact factor:   1.738


  30 in total

1.  High-resolution, high-throughput microscopy analyses of nuclear receptor and coregulator function.

Authors:  Valeria Berno; Cruz A Hinojos; Larbi Amazit; Adam T Szafran; Michael A Mancini
Journal:  Methods Enzymol       Date:  2006       Impact factor: 1.600

2.  Statistics of assay validation in high throughput cell imaging of nuclear factor kappaB nuclear translocation.

Authors:  Maurice M Morelock; Edward A Hunter; Timothy J Moran; Susanne Heynen; Casey Laris; Michael Thieleking; Michael Akong; Ivana Mikic; Scott Callaway; Rodney P DeLeon; Angela Goodacre; David Zacharias; Jeffrey H Price
Journal:  Assay Drug Dev Technol       Date:  2005-10       Impact factor: 1.738

3.  Functional genomic analysis of RNA interference in C. elegans.

Authors:  John K Kim; Harrison W Gabel; Ravi S Kamath; Muneesh Tewari; Amy Pasquinelli; Jean-François Rual; Scott Kennedy; Michael Dybbs; Nicolas Bertin; Joshua M Kaplan; Marc Vidal; Gary Ruvkun
Journal:  Science       Date:  2005-03-24       Impact factor: 47.728

4.  Estrogen-receptor-alpha exchange and chromatin dynamics are ligand- and domain-dependent.

Authors:  Z Dave Sharp; Maureen G Mancini; Cruz A Hinojos; Fangyan Dai; Valeria Berno; Adam T Szafran; Kelly P Smith; Tanmay P Lele; Tanmay T Lele; Donald E Ingber; Michael A Mancini
Journal:  J Cell Sci       Date:  2006-09-12       Impact factor: 5.285

Review 5.  Nuclear receptors in bone physiology and diseases.

Authors:  Yuuki Imai; Min-Young Youn; Kazuki Inoue; Ichiro Takada; Alexander Kouzmenko; Shigeaki Kato
Journal:  Physiol Rev       Date:  2013-04       Impact factor: 37.312

6.  Stat3 isoforms, alpha and beta, demonstrate distinct intracellular dynamics with prolonged nuclear retention of Stat3beta mapping to its unique C-terminal end.

Authors:  Ying Huang; Jihui Qiu; Shuo Dong; Michele S Redell; Valeria Poli; Michael A Mancini; David J Tweardy
Journal:  J Biol Chem       Date:  2007-09-12       Impact factor: 5.157

7.  Regulation of SRC-3 intercompartmental dynamics by estrogen receptor and phosphorylation.

Authors:  Larbi Amazit; Luigi Pasini; Adam T Szafran; Valeria Berno; Ray-Chang Wu; Marylin Mielke; Elizabeth D Jones; Maureen G Mancini; Cruz A Hinojos; Bert W O'Malley; Michael A Mancini
Journal:  Mol Cell Biol       Date:  2007-07-23       Impact factor: 4.272

8.  Large-scale chromatin decondensation and recondensation regulated by transcription from a natural promoter.

Authors:  W G Müller; D Walker; G L Hager; J G McNally
Journal:  J Cell Biol       Date:  2001-07-09       Impact factor: 10.539

9.  CellProfiler: image analysis software for identifying and quantifying cell phenotypes.

Authors:  Anne E Carpenter; Thouis R Jones; Michael R Lamprecht; Colin Clarke; In Han Kang; Ola Friman; David A Guertin; Joo Han Chang; Robert A Lindquist; Jason Moffat; Polina Golland; David M Sabatini
Journal:  Genome Biol       Date:  2006-10-31       Impact factor: 13.583

10.  Activation of estrogen receptor-alpha by E2 or EGF induces temporally distinct patterns of large-scale chromatin modification and mRNA transcription.

Authors:  Valeria Berno; Larbi Amazit; Cruz Hinojos; Jeannie Zhong; Maureen G Mancini; Zelton Dave Sharp; Michael A Mancini
Journal:  PLoS One       Date:  2008-05-28       Impact factor: 3.240

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  17 in total

1.  High-Content Screening Identifies Src Family Kinases as Potential Regulators of AR-V7 Expression and Androgen-Independent Cell Growth.

Authors:  Adam T Szafran; Cliff Stephan; Michael Bolt; Maureen G Mancini; Marco Marcelli; Michael A Mancini
Journal:  Prostate       Date:  2016-10-04       Impact factor: 4.104

2.  CUDC-101, a Novel Inhibitor of Full-Length Androgen Receptor (flAR) and Androgen Receptor Variant 7 (AR-V7) Activity: Mechanism of Action and In Vivo Efficacy.

Authors:  Huiying Sun; Sanjay N Mediwala; Adam T Szafran; Michael A Mancini; Marco Marcelli
Journal:  Horm Cancer       Date:  2016-03-08       Impact factor: 3.869

3.  PRSS50 is a testis protease responsible for proper sperm tail formation and function.

Authors:  Jason M Scovell; Juan C Bournat; Adam T Szafran; Minerva Solis; Joshua Moore; Armando Rivera; Ching H Chen; Jason Zhang; Nathan Wilken; Abhishek Seth; Carolina J Jorgez
Journal:  Development       Date:  2021-04-16       Impact factor: 6.868

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

Authors:  Fabio Stossi; Ragini M Mistry; Pankaj K Singh; Hannah L Johnson; Maureen G Mancini; Adam T Szafran; Michael A Mancini
Journal:  SLAS Discov       Date:  2020-06-18       Impact factor: 3.341

5.  High throughput microscopy identifies bisphenol AP, a bisphenol A analog, as a novel AR down-regulator.

Authors:  Fabio Stossi; Radhika D Dandekar; Michael J Bolt; Justin Y Newberg; Maureen G Mancini; Akash K Kaushik; Vasanta Putluri; Arun Sreekumar; Michael A Mancini
Journal:  Oncotarget       Date:  2016-03-29

6.  Effects of Circular DNA Length on Transfection Efficiency by Electroporation into HeLa Cells.

Authors:  Benjamin D Hornstein; Dany Roman; Lirio M Arévalo-Soliz; Melinda A Engevik; Lynn Zechiedrich
Journal:  PLoS One       Date:  2016-12-05       Impact factor: 3.240

7.  Characterizing properties of non-estrogenic substituted bisphenol analogs using high throughput microscopy and image analysis.

Authors:  Adam T Szafran; Fabio Stossi; Maureen G Mancini; Cheryl L Walker; Michael A Mancini
Journal:  PLoS One       Date:  2017-07-13       Impact factor: 3.240

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

Authors:  Adam T Szafran; Michael J Bolt; Caroline E Obkirchner; Maureen G Mancini; Christine Helsen; Frank Claessens; Fabio Stossi; Michael A Mancini
Journal:  SLAS Discov       Date:  2020-05-11       Impact factor: 3.341

9.  Inhibition of the hexosamine biosynthetic pathway promotes castration-resistant prostate cancer.

Authors:  Akash K Kaushik; Ali Shojaie; Katrin Panzitt; Rajni Sonavane; Harene Venghatakrishnan; Mohan Manikkam; Alexander Zaslavsky; Vasanta Putluri; Vihas T Vasu; Yiqing Zhang; Ayesha S Khan; Stacy Lloyd; Adam T Szafran; Subhamoy Dasgupta; David A Bader; Fabio Stossi; Hangwen Li; Susmita Samanta; Xuhong Cao; Efrosini Tsouko; Shixia Huang; Daniel E Frigo; Lawrence Chan; Dean P Edwards; Benny A Kaipparettu; Nicholas Mitsiades; Nancy L Weigel; Michael Mancini; Sean E McGuire; Rohit Mehra; Michael M Ittmann; Arul M Chinnaiyan; Nagireddy Putluri; Ganesh S Palapattu; George Michailidis; Arun Sreekumar
Journal:  Nat Commun       Date:  2016-05-19       Impact factor: 14.919

10.  Predicting the Estrogen Receptor Activity of Environmental Chemicals by Single-Cell Image Analysis and Data-driven Modeling.

Authors:  Hari S Ganesh; Burcu Beykal; Adam T Szafran; Fabio Stossi; Lan Zhou; Michael A Mancini; Efstratios N Pistikopoulos
Journal:  ESCAPE       Date:  2021-07-18
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