Effects of fixation on RNA extraction and amplification from laser capture microdissected tissue

S M Goldsworthy1, P S Stockton, C S Trempus

  • 1Pathology Associates International, Durham, North Carolina, USA.

Insights

Optimal fixation protocols are crucial for laser capture microdissection (LCM) to accurately quantify gene expression. Precipitative fixatives like ethanol yield superior RNA preservation for molecular analysis compared to cross-linking fixatives.

Area of Science:

  • Molecular biology
  • Carcinogenesis research
  • Biotechnology

Background:

  • Gene expression analysis in specific cell populations is key to understanding carcinogenesis.
  • Laser capture microdissection (LCM) enables precise isolation of pure cell populations from tissue sections.
  • Optimizing RNA analysis via LCM requires balancing morphology, cell capture, and mRNA integrity.

Purpose of the Study:

  • To determine the optimal fixation protocol for analyzing RNA using the PixCell LCM system.
  • To evaluate the impact of different fixatives on RNA quality and yield from microdissected tissues.

Main Methods:

  • Evaluated fixation effects on frozen and paraffin-embedded mouse liver tissue using cross-linking and precipitative fixatives.
  • Assessed mRNA quality using reverse transcription-polymerase chain reaction (RT-PCR) for beta2-microglobulin.
  • Quantified RT-PCR products for glyceraldehyde-3-phosphate-dehydrogenase using real-time TaqMan system.

Main Results:

  • Frozen tissues yielded more RT-PCR product than paraffin-embedded tissues.
  • Precipitative fixatives (ethanol, acetone) consistently yielded more RT-PCR product than cross-linking fixatives (formalin).
  • Fixation method significantly impacted mRNA amplification yield in LCM samples.

Conclusions:

  • Precipitative fixatives are superior to cross-linking fixatives for preserving mRNA integrity for LCM analysis.
  • Optimized fixation protocols enhance gene expression studies in specific cell populations.
  • This research facilitates investigations into molecular differences driving carcinogenesis.