NIH, National Cancer Institute, Division of Cancer Treatment and Diagnosis (DCTD) NIH - National Institutes of Health National Cancer Institute DCTD - Division of Cancer Treatment and Diagnosis

Collection and storage of human blood and adipose for genomic analysis of clinical samples.

Author(s): Cashion AK, Umberger RA, Goodwin SB, Sutter TR

Publication: Res Nurs Health, 2011, Vol. 34, Page 408-18

PubMed ID: 21812005 PubMed Review Paper? No

Purpose of Paper

The purpose of this paper was to determine the effects of freezing RNAlater-preserved leukocytes on RNA quality and expression and to compare RNA quality between two RNA extraction protocols for subcutaneous adipose tissue.

Conclusion of Paper

RNA integrity and percent present calls after microarray analysis were comparable for RNA from unfrozen and frozen leukocytes preserved on LeukoLOCK filters with RNAlater. While RNA yields from adipose tissue were comparable between the two extraction kits, RNA isolated using the STAT-60 lipids kit was highly degraded, and RNA integrity numbers (RIN) could not be calculated. In contrast, RNA obtained using Trizol plus the RNeasy kit had an average RIN of 8.0 and was of sufficient quality for microarray analysis.

Studies

  1. Study Purpose

    The purpose of this study was to determine the effects of storing leukocytes on LeukoLOCK filters with RNAlater for 1 week at -20 degrees C on RNA quality and transcriptome analysis using two different Affymetrix microarray platforms. Blood from healthy individuals was collected into EDTA vacutainers, and leukocytes were isolated on paired LeukoLOCK filters. RNA was preserved on the leukoLOCK filters by the addition of RNAlater to the filter. One specimen from each of the two patients was stored frozen at -20 degrees C on the LeukoLOCK filters for 1 week before extraction, while the other was extracted after only a short duration (unspecified) at room temperature. RNA was isolated using the LeukoLOCK RNA isolation system.

    Summary of Findings:

    RINs of 8.9-9.0 were obtained from fresh specimens and those that were stored at -20 degrees C for 1 week, and any differences in RNA yield were attributed to the learning curve of the authors. Percent present calls on the HG-U133 plus 2.0 array were 48.3% and 46.7% for unfrozen and frozen specimens, respectively. The authors report a similar number of transcripts were detected using the HG-U133 array and the Gene 1.0 ST array.

    Biospecimens
    Preservative Types
    • RNAlater
    • Frozen
    • None (Fresh)
    Diagnoses:
    • Normal
    Platform:
    AnalyteTechnology Platform
    RNA Automated electrophoresis/Bioanalyzer
    RNA DNA microarray
    RNA Spectrophotometry
    Pre-analytical Factors:
    ClassificationPre-analytical FactorValue(s)
    Biospecimen Preservation Type of fixation/preservation Frozen
    None (fresh)
    RNAlater
    DNA microarray Specific Type of array HG-U133 array
    GENE 1.0 ST array
    Storage Storage duration 0 days
    1 week
  2. Study Purpose

    The purpose of this study was to determine the effects of RNA isolation method on the quality of RNA from subcutaneous adipose tissue obtained during renal transplant surgery. Abdominal subcutaneous adipose tissue was placed on ice and transported out of the operating room where it was cut into 10 pieces. The pieces of tissue were individually snap-frozen in liquid nitrogen within 2 minutes of collection and stored at -80 degrees C.

    Summary of Findings:

    RNA yields were comparable between the STAT-60 lipids kit and Trizol with plus the RNeasy kit. While the optical density 260/280 ratios were acceptable using both the STAT-60 lipids kit (1.96-1.97) and Trizol plus the RNeasy kit (2.10), only specimens isolated using the Trizol plus the RNeasy kit were intact enough to yield RIN values (8.0). The RNA isolated using the Trizol plus RNeasy kit was of sufficient quality for microarray analysis, and expression of the expected genes involved in lipid metabolism was confirmed.

    Biospecimens
    Preservative Types
    • Frozen
    Diagnoses:
    • Other diagnoses
    Platform:
    AnalyteTechnology Platform
    RNA Automated electrophoresis/Bioanalyzer
    RNA Spectrophotometry
    RNA DNA microarray
    Pre-analytical Factors:
    ClassificationPre-analytical FactorValue(s)
    Analyte Extraction and Purification Analyte isolation method STAT-60 for lipids
    Trizol with RNeasy
    Preaquisition Diagnosis/ patient condition Renal transplant recipient

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