Literature DB >> 14595841

RNA amplification and transcriptional profiling for analysis of stem cell populations.

Teresa D Gallardo1, Robert E Hammer, Daniel J Garry.   

Abstract

As stem cells constitute a rare cell pool, a global analysis of gene expression is typically not possible. Here, we use a T7-based RNA amplification method combined with high-density oligonucleotide array technology to analyze gene expression. We isolated RNA from ES cells (100-100,000 cells), subjected them to two rounds of amplification, and compared each sample using microarray analysis. RNA isolation and amplification was highly reproducible and sensitive for the analysis of low abundant transcripts. Greater than 93% of the transcripts expressed were changed less than 2-fold when comparing the results of amplified RNA (100 cells to 100,000 cells) to unamplified RNA (isolated from 1,000,000 cells). This transcriptional analysis resulted in minimal skewing of gene expression. Using this technology, we analyzed the genetic programs of ES cells, STO feeder cells, and adult cardiomyocytes. We conclude that these technologies can be applied to the analysis of the genetic programs of rare cell populations and ultimately this analysis will enhance our understanding of the regulatory mechanisms of stem cell populations. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 14595841     DOI: 10.1002/gene.10223

Source DB:  PubMed          Journal:  Genesis        ISSN: 1526-954X            Impact factor:   2.487


  9 in total

1.  Quantitative and semiquantitative immunoassay of growth factors and cytokines in the conditioned medium of STO and CF-1 mouse feeder cells.

Authors:  Neil C Talbot; Wendy O Sparks; Anne M Powell; Stanislaw Kahl; Thomas J Caperna
Journal:  In Vitro Cell Dev Biol Anim       Date:  2011-12-17       Impact factor: 2.416

2.  A novel role for proteomics in the discovery of cell-surface markers on stem cells: Scratching the surface.

Authors:  Rebekah L Gundry; Kenneth R Boheler; Jennifer E Van Eyk; Bernd Wollscheid
Journal:  Proteomics Clin Appl       Date:  2008-06-12       Impact factor: 3.494

3.  Foxk1 promotes cell proliferation and represses myogenic differentiation by regulating Foxo4 and Mef2.

Authors:  Xiaozhong Shi; Alicia M Wallis; Robert D Gerard; Kevin A Voelker; Robert W Grange; Ronald A DePinho; Mary G Garry; Daniel J Garry
Journal:  J Cell Sci       Date:  2012-09-06       Impact factor: 5.285

4.  Bone-marrow-derived side population cells for myocardial regeneration.

Authors:  Hesham A Sadek; Cindy M Martin; Shuaib S Latif; Mary G Garry; Daniel J Garry
Journal:  J Cardiovasc Transl Res       Date:  2009-03-19       Impact factor: 4.132

Review 5.  Molecular signatures define myogenic stem cell populations.

Authors:  Cindy M Martin; Jamie L Russell; Anwarul Ferdous; Daniel J Garry
Journal:  Stem Cell Rev       Date:  2006       Impact factor: 6.692

6.  In vivo endothelial gene regulation in diabetes.

Authors:  J Gregory Maresh; Ralph V Shohet
Journal:  Cardiovasc Diabetol       Date:  2008-04-19       Impact factor: 9.951

7.  Inferring dynamic gene regulatory networks in cardiac differentiation through the integration of multi-dimensional data.

Authors:  Wuming Gong; Naoko Koyano-Nakagawa; Tongbin Li; Daniel J Garry
Journal:  BMC Bioinformatics       Date:  2015-03-07       Impact factor: 3.169

8.  Evaluation of global RNA amplification and its use for high-throughput transcript analysis of laser-microdissected endosperm.

Authors:  Robert C Day; Les McNoe; Richard C Macknight
Journal:  Int J Plant Genomics       Date:  2007

9.  Molecular signatures of proliferation and quiescence in hematopoietic stem cells.

Authors:  Teresa A Venezia; Akil A Merchant; Carlos A Ramos; Nathan L Whitehouse; Andrew S Young; Chad A Shaw; Margaret A Goodell
Journal:  PLoS Biol       Date:  2004-09-28       Impact factor: 8.029

  9 in total

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