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Record W2328780038 · doi:10.1158/1538-7445.am10-819

Abstract 819: Ambient temperature storage of RNA for use in a RT-qPCR test for the detection of GCC mRNA

2010· article· en· W2328780038 on OpenAlexaff
H Diego Orlando Martínez, Guillaume Beaudry, Josianne Veer, Mélanie Robitaille, Michel Houde, Derek Wong, Bonnie Iverson, R. Nuñez

Bibliographic record

VenueCancer Research · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsDiagnoCure (Canada)
Fundersnot available
KeywordsRNAMolecular biologyTaqManMessenger RNARNase PComplementary DNARNA extractionRibonucleaseChemistryReal-time polymerase chain reactionBiologyBiochemistryGene

Abstract

fetched live from OpenAlex

Abstract The purpose of this study was to evaluate the integrity of T84 cell and lymph node RNA samples, and their use in an RT-qPCR-based diagnostic test, following storage in a chemical matrix designed to stabilize RNA and slow the action of RNase at ambient temperature. Total RNA was purified from the T84 human colonic adenocarcinoma cell line (T84 cells), and from formalin-fixed paraffin-embedded (FFPE) lymph node (LN) tissue. 5µg aliquots of RNA were applied to GenTegra™ RNA tubes, which contain an inert chemical matrix designed to stabilize and protect RNA. RNA samples were stored in the presence or absence of the chemical matrix for 24 hours in the liquid state at 25°C and 37°C, and for two weeks in the dry state at 25°C, 37°C and 56°C. A set of RNA samples was stored at −70°C as a control. Following storage, recovery yields and RNA integrity numbers (RIN) were compared with frozen controls. Transcript-specific cDNA synthesis was performed and the cDNA products were used to conduct qPCR using primers and TaqMan probes targeting β-Actin (ACTB) mRNA for the T84 specimens or using primers and Scorpions probes targeting GCC and ACTB mRNA for the lymph node specimens. T84 cell RNA was incubated in the liquid state at 25°C or 37°C for 24 hours in the presence and absence of a chemical matrix and compared to a control samples stored at −70°C. There was no difference in the RIN between the samples stored at 25°C or 37°C in the presence of the chemical matrix and the frozen control. A decrease in RIN was observed for samples stored at 37°C in the absence of chemical matrix. T84 cell and LN RNA was dried overnight in the presence or absence of a chemical matrix and stored at 25°C, 37°C or 56°C for comparison with a control stored at −70°C. Quantitative recovery was achieved following rehydration of the dried RNA. The RIN of samples stored in the presence of the chemical matrix for two weeks at up to 56°C were not significantly different from control RNA stored at −70°C. Obvious degradation was observed in RNA stored at 25°C, 37°C or 56°C in the absence of chemical matrix. RT-qPCR analysis of the ACTB transcript revealed no difference in Ct values for T84 cell or LN RNA samples stored dry in the presence or absence of chemical matrix and controls stored at −70°. When LN RNA was used for a RT-qPCR diagnostic test for detection of the GCC transcript, the Ct values and copy numbers did not differ significantly between samples stored dry in the presence or absence of a chemical matrix and controls stored at −70°. In this study, we demonstrate that an inert chemical matrix designed to protect against oxidation and hydrolysis and to slow the action of RNase, stabilized RNA samples in the liquid state at 25°C and 37°C for 24 hours, and in the dry state at 25°C, 37°C and 56°C for two weeks. RNA integrity equivalent to frozen controls was maintained during the storage periods, and the chemical matrix had no effect on the results of an RT-qPCR based diagnostic test. Citation Format: {Authors}. {Abstract title} [abstract]. In: Proceedings of the 101st Annual Meeting of the American Association for Cancer Research; 2010 Apr 17-21; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2010;70(8 Suppl):Abstract nr 819.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.029

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0090.007

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.038
GPT teacher head0.383
Teacher spread0.345 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2010
Admission routes1
Has abstractyes

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