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Record W2921366133 · doi:10.1101/571174

The protein repertoire in early vertebrate embryogenesis

2019· preprint· en· W2921366133 on OpenAlexaff
Leonid Peshkin, Alexander A. Lukyanov, Marian Kalocsay, Robert M. Gage, DongZhuo Wang, Troy J. Pells, Kamran Karimi, Peter D. Vize, Martin Wühr, Marc W. Kirschner

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2019
Typepreprint
Languageen
FieldChemistry
TopicAdvanced Proteomics Techniques and Applications
Canadian institutionsUniversity of Calgary
FundersNational Institutes of Health
KeywordsNeurulaBlastulaBiologyGastrulationComputational biologyGeneEmbryogenesisGenetics

Abstract

fetched live from OpenAlex

Summary We present an unprecedentedly comprehensive characterization of protein dynamics across early development in Xenopus laevis , available immediately via a convenient Web portal. This resource allows interrogation of the protein expression data in conjunction with other data modalities such as genome wide mRNA expression. This study provides detailed data for absolute levels of ∼14K unique Xenopus proteins representing homologues of ∼9K unique human genes – a rich resource for developmental biologists. The purpose of this manuscript is limited to presenting and releasing the data browser. Highlights Relative protein expression from stage IV oocyte, blastula, gastrula, neurula, and early organogenesis Biological triplicates with confidence intervals on protein expression reflect certainty in dynamic patterns Convenient time-series Web-browser integrated with the multi-media Xenbase portal Gene-symbol search and multi-gene protein/mRNA juxtaposition capabilities

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)0.000
metaresearch head score (Gemma)0.000
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 score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.219
Teacher spread0.210 · 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

Citations38
Published2019
Admission routes1
Has abstractyes

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Same venuebioRxiv (Cold Spring Harbor Laboratory)Same topicAdvanced Proteomics Techniques and ApplicationsFrench-language works237,207