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Record W3157870559 · doi:10.1210/jendso/bvab048.1123

Reference Gene Optimization for Ganglia of the Sympathetic Nervous System in Male and Female Mice after Exposure to Cold Stress

2021· article· en· W3157870559 on OpenAlexaff
Parleen K. Pandher, Landon I. Short, Sarah L. Gray

Bibliographic record

VenueJournal of the Endocrine Society · 2021
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsUniversity of Northern British Columbia
Fundersnot available
KeywordsReference genesBiologyGene expressionGeneHousekeeping geneReal-time polymerase chain reactionSympathetic nervous systemmicroRNAGeneticsEndocrinology

Abstract

fetched live from OpenAlex

Abstract The sympathetic branch of the autonomic nervous system (ANS) regulates the body’s response to psychogenic and systemic stress. In response to stress, endocrine pathways are activated to rebalance physiological changes and restore homeostasis. Gene expression analysis through quantitative real-time PCR (qPCR) is a key method to assess differential gene expression in tissue and cell samples, with high sensitivity and specificity. To assess differential gene expression between samples, qPCR data must be normalized to two or more reference genes to account for technical variation in nucleic acid loading between samples, ensuring data represents target gene expression due to experimental treatments (1). Reference genes must be selected and tested for each experimental paradigm, showing stability of expression between samples and treatments. Reference genes are usually constitutively expressed genes required for cellular maintenance, such as well known “housekeeping” genes or genes encoding ribosomal RNAs. Ganglia of the sympathetic nervous system (SNS) are small in size, and thus total yields of RNA for qPCR experiments are limited. Our group has established a protocol for the isolation of adrenal glands, superior cervical, celiac, and stellate ganglia using a dissecting scope and anatomical landmarks in mice. Here we present optimization data assessing five commonly used reference genes for normalization of qPCR data in three ganglia of the SNS (superior cervical, stellate, and celiac) and adrenal glands. We have evaluated their suitability as reference genes in these tissues after acclimation to cold (4°C) stress compared to the same tissues from animals housed at thermoneutrality (30°C). Through qPCR reaction optimization and subsequent calculations of geNorm stability-measure M, we present optimized primer sequences and reaction conditions, and provide recommendations for combinations of three or more reference genes to use for normalization in gene expression analysis experiments in adrenal gland, superior cervical, stellate or celiac ganglia from male and female mice exposed to thermoneutrality or cold. This research will be valuable to groups interested in SNS physiology and facilitate a streamlined approach to gene expression analysis given the low RNA availability from these minute tissue samples, saving valuable sample, costs and time in carrying out qPCR experiments. Reference: (1) Bustin et al., Clin Chem. 2009 Jan 27;55(4):611-622.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.007
Threshold uncertainty score0.165

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.007
GPT teacher head0.240
Teacher spread0.233 · 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 teacher head, 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

Citations0
Published2021
Admission routes1
Has abstractyes

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