Literature DB >> 26237078

Quantitative large scale gene expression profiling from human stem cell culture micro samples using multiplex pre-amplification.

Mark Kibschull1, Stephen J Lye1,2,3, Steven T Okino4, Haya Sarras5.   

Abstract

Transcriptional profiling is a powerful tool to study biological mechanisms during stem cell differentiation and reprogramming. Genome-wide methods like microarrays or next generation sequencing are expensive, time consuming, and require special equipment and bioinformatics expertise. Quantitative RT-PCR remains one of today's most widely accepted and used methods for analyzing gene expression in biological samples. However, limitations in the amount of starting materials often hinder the quantity and quality of information that could be obtained from a given sample. Here, we present a fast 4-step workflow allowing direct, column-free RNA isolation from limited human pluripotent stem cell (hPSC) cultures that is directly compatible with subsequent reverse transcription, target specific multiplex pre-amplification, and standard SYBR-Green quantitative PCR (qPCR) analysis. The workflow delivers excellent correlations in normalized gene-expression data obtained from different samples of hPSCs over a wide range of cell numbers (500-50,000 cells). We demonstrate accurate and unbiased target gene quantification in limiting stem cell cultures which allows for monitoring embryoid body differentiation and induced pluripotent stem cell (iPSC) reprogramming. This method highlights a rapid and cost effective screening process, allowing reduction of culture formats and increase of processing throughputs for various stem cell applications.

Entities:  

Keywords:  Differentiation; embryoid body; pre-amplification; real-time PCR; reprogramming; stem cell

Mesh:

Year:  2015        PMID: 26237078     DOI: 10.3109/19396368.2015.1062578

Source DB:  PubMed          Journal:  Syst Biol Reprod Med        ISSN: 1939-6368            Impact factor:   3.061


  3 in total

1.  A novel amplification-based approach to enable gene expression profiling from small clinical tumor specimens.

Authors:  Haya Sarras; Megan Wu; Angela Celebre; Daniele Merico; Jason Karamchandani; Sunit Das
Journal:  J Neurooncol       Date:  2016-01       Impact factor: 4.130

Review 2.  Immunomodulatory Properties of Stem Cells in Periodontitis: Current Status and Future Prospective.

Authors:  Mengyuan Wang; Jiang Xie; Cong Wang; Dingping Zhong; Liang Xie; Hongzhi Fang
Journal:  Stem Cells Int       Date:  2020-07-08       Impact factor: 5.443

3.  Sensitive detection of colorectal cancer in peripheral blood by a novel methylation assay.

Authors:  Yunfeng Zhang; Qian Wu; Linhao Xu; Hong Wang; Xin Liu; Sihui Li; Tianliang Hu; Yanying Liu; Quanzhou Peng; Zhiwei Chen; Xianrui Wu; Jian-Bing Fan
Journal:  Clin Epigenetics       Date:  2021-04-23       Impact factor: 6.551

  3 in total

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