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Record W2045759990 · doi:10.1002/mrd.20733

Most expressed transcripts in sexual organs and other tissues

2007· article· en· W2045759990 on OpenAlex
Kouame Ettienne Kouadjo, Mayumi Yoshioka, Yuichiro Nishida, Jonny St‐Amand

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMolecular Reproduction and Development · 2007
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMolecular Biology Techniques and Applications
Canadian institutionsWilfrid Laurier UniversityUniversité Laval
FundersCanadian Institutes of Health ResearchGenome CanadaCanadian Diabetes AssociationHeart and Stroke Foundation of Canada
KeywordsBiologyAdipose tissueMammary glandGene expressionGeneSerial analysis of gene expressionEndocrinologySpermatogenesisInternal medicineGene expression profilingGeneticsCancer

Abstract

fetched live from OpenAlex

This study characterizes the most highly expressed transcripts of 15 intact tissues in mice by using the serial analysis of gene expression (SAGE) strategy which indicates the relative level of expression for each transcript matched to the tag. We show that the most abundant transcripts in the prostate, testis, and skeletal muscle characterize the main functions of these organs as an exocrine gland of male reproduction, spermatogenesis, and contraction, respectively. In addition, the top nine most abundant transcripts in the testis are tissue-specific genes while the most abundant transcripts in the prostate are also abundantly expressed in the liver. Furthermore, the most abundant transcripts in the ovary, mammary gland, and vagina are related to steroidogenesis, adipocytes, and keratinization, respectively, whereas genes involved in the cell defence are abundantly expressed in the liver, lung, bone, mammary gland, and adipose tissue. These findings suggest that the top 10 transcripts are sufficient to characterize each tissue of the body.

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.

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 score0.284
Threshold uncertainty score0.511

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 head0.013
GPT teacher head0.267
Teacher spread0.254 · 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