Literature DB >> 22821636

Concise review: a high-content screening approach to stem cell research and drug discovery.

Xiaofeng Xia1, Stephen T Wong.   

Abstract

High-throughput screening (HTS) is a technology widely used for early stages of drug discovery in pharmaceutical and biotechnology industries. Recent hardware and software improvements have enabled HTS to be used in combination with subcellular resolution microscopy, resulting in cell image-based HTS, called high-content screening (HCS). HCS allows the acquisition of deeper knowledge at a single-cell level such that more complex biological systems can be studied in a high-throughput manner. The technique is particularly well-suited for stem cell research and drug discovery, which almost inevitably require single-cell resolutions for the detection of rare phenotypes in heterogeneous cultures. With growing availability of facilities, instruments, and reagent libraries, small-to-moderate scale HCS can now be carried out in regular academic labs. We envision that the HCS technique will play an increasing role in both basic mechanism study and early-stage drug discovery on stem cells. Here, we review the development of HCS technique and its past application on stem cells and discuss possible future developments.
Copyright © 2012 AlphaMed Press.

Mesh:

Year:  2012        PMID: 22821636     DOI: 10.1002/stem.1168

Source DB:  PubMed          Journal:  Stem Cells        ISSN: 1066-5099            Impact factor:   6.277


  9 in total

1.  Automated Neuron Detection in High-Content Fluorescence Microscopy Images Using Machine Learning.

Authors:  Gadea Mata; Miroslav Radojević; Carlos Fernandez-Lozano; Ihor Smal; Niels Werij; Miguel Morales; Erik Meijering; Julio Rubio
Journal:  Neuroinformatics       Date:  2019-04

Review 2.  HTS/HCS to screen molecules able to maintain embryonic stem cell self-renewal or to induce differentiation: overview of protocols.

Authors:  Genesia Manganelli; Ugo Masullo; Stefania Filosa
Journal:  Stem Cell Rev Rep       Date:  2014-12       Impact factor: 5.739

Review 3.  Arrayed functional genetic screenings in pluripotency reprogramming and differentiation.

Authors:  Rodrigo Alexandre Panepucci; Ildercílio Mota de Souza Lima
Journal:  Stem Cell Res Ther       Date:  2019-01-11       Impact factor: 6.832

4.  High throughput characterization of adult stem cells engineered for delivery of therapeutic factors for neuroprotective strategies.

Authors:  Anup D Sharma; Pavel A Brodskiy; Emma M Petersen; Melih Dagdeviren; Eun-Ah Ye; Surya K Mallapragada; Donald Sakaguchi
Journal:  J Vis Exp       Date:  2015-01-04       Impact factor: 1.355

Review 5.  Matching the power of high throughput screening to the chemical diversity of natural products.

Authors:  Curtis J Henrich; John A Beutler
Journal:  Nat Prod Rep       Date:  2013-08-08       Impact factor: 13.423

6.  Developing CRISPR/Cas9-Mediated Fluorescent Reporter Human Pluripotent Stem-Cell Lines for High-Content Screening.

Authors:  Kinga Vojnits; Mio Nakanishi; Deanna Porras; Yeonjoon Kim; Zhuohang Feng; Diana Golubeva; Mick Bhatia
Journal:  Molecules       Date:  2022-04-09       Impact factor: 4.927

7.  A High-content screen identifies compounds promoting the neuronal differentiation and the midbrain dopamine neuron specification of human neural progenitor cells.

Authors:  Ji Heon Rhim; Xiangjian Luo; Xiaoyun Xu; Dongbing Gao; Tieling Zhou; Fuhai Li; Lidong Qin; Ping Wang; Xiaofeng Xia; Stephen T C Wong
Journal:  Sci Rep       Date:  2015-11-06       Impact factor: 4.379

8.  Label-free cell cycle analysis for high-throughput imaging flow cytometry.

Authors:  Thomas Blasi; Holger Hennig; Huw D Summers; Fabian J Theis; Joana Cerveira; James O Patterson; Derek Davies; Andrew Filby; Anne E Carpenter; Paul Rees
Journal:  Nat Commun       Date:  2016-01-07       Impact factor: 14.919

9.  Context-explorer: Analysis of spatially organized protein expression in high-throughput screens.

Authors:  Joel Ostblom; Emanuel J P Nazareth; Mukul Tewary; Peter W Zandstra
Journal:  PLoS Comput Biol       Date:  2019-01-02       Impact factor: 4.475

  9 in total

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