Literature DB >> 11685688

Semiquantitative polymerase chain reaction in RNase-producing tissues: Analysis of the developing pancreas.

M J Hembree1, K Prasadan, P Manna, B Preuett, T Spilde, A Bhatia, H Kobayashi, B Buckingham, C L Snyder, G K Gittes.   

Abstract

BACKGROUND/
PURPOSE: Many studies in pediatric surgical research use a quantitative analysis of gene expression in microscopic quantities of tissue. The authors describe an analysis of the beta-tubulin mRNA content of the embryonic pancreas, which contains abundant endogenous RNases. A detailed analysis of this RNase-containing system will provide a good template for analysis of other potentially simpler systems.
METHODS: Embryonic mouse pancreases were harvested at serial gestational ages. DAPI nuclear staining allowed for counting of cells. cDNA was amplified using a fluoresceinated primer and the normalized fluorescence determined. Known numbers of molecules were amplified in parallel as a standard control.
RESULTS: The number of cells increased from 38,000 to 2,700,000 between embryonic day 10.5 (E10.5) and E18.5. mRNA for beta-tubulin did not increase proportionately. Assuming a yield of 100% at E10.5 when no RNases are present, the yield of expected mRNA was 65.3% at E12.5, 13.8% at E15.5, and 0.9% at E18.5, presumably because of the appearance of RNases.
CONCLUSIONS: Several parameters must be considered in performing semiquantitative reverse transcription polymerase chain reaction: (1) the yield of RNA based on the projected amount of mRNA, (2) the number of cells in the tissue, and (3) a known number of template molecules amplified in parallel. Copyright 2001 by W.B. Saunders Company.

Entities:  

Mesh:

Substances:

Year:  2001        PMID: 11685688     DOI: 10.1053/jpsu.2001.27934

Source DB:  PubMed          Journal:  J Pediatr Surg        ISSN: 0022-3468            Impact factor:   2.545


  2 in total

1.  Simplified and versatile method for isolation of high-quality RNA from pancreas.

Authors:  Michelle Griffin; Maisam Abu-El-Haija; Marwa Abu-El-Haija; Tatiana Rokhlina; Aliye Uc
Journal:  Biotechniques       Date:  2012-05       Impact factor: 1.993

2.  Quality control in microarray assessment of gene expression in human airway epithelium.

Authors:  Tina Raman; Timothy P O'Connor; Neil R Hackett; Wei Wang; Ben-Gary Harvey; Marc A Attiyeh; David T Dang; Matthew Teater; Ronald G Crystal
Journal:  BMC Genomics       Date:  2009-10-24       Impact factor: 3.969

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.