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Record W4301370142 · doi:10.1101/2022.10.03.510739

<i>Irx1</i> and <i>Irx2</i> play dose-dependent cooperative functions in mammalian development

2022· preprint· en· W4301370142 on OpenAlexaff
Sepideh Sheybani-Deloui, Leo Xu, Lijuan Hu, Qiongjing Yuan, Joe Eun Son, Kyoung-Han Kim, Weifan Liu, Rong Mo, Xiaoyun Zhang, Paul Delgado-Olguı́n, Chi‐chung Hui

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2022
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related molecular mechanisms research
Canadian institutionsHospital for Sick ChildrenUniversity of Toronto
Fundersnot available
KeywordsBiologyMolecular biologyGenetics

Abstract

fetched live from OpenAlex

Abstract Irx1 and Irx2 ( Irx1/2 ) are two closely linked and widely expressed members of the conserved Iroquois homeobox family of transcription factors. Despite mounting evidence suggesting the importance of homologs of these genes in many aspects of vertebrate development and function, the role of Irx1/2 in mammals has remained largely unknown. Here, we used mice carrying our newly generated Irx1 flox and Irx1 flox Irx2 del mutant alleles to perform a stepwise genetic ablation of Irx1 and Irx2 levels. Our analysis revealed reduced postnatal growth and viability of Irx1 KO mice with gross histological defects in the lung and gut and demonstrated that ablation of one copy of Irx2 in these mice results in neonatal lethality with exacerbated phenotypic defects. Conversely, while Irx2 KO mice appear normal, ablation of one copy of Irx1 in these mutants leads to lethality at weaning. Furthermore, we found that homozygous deletion of both Irx1 and Irx2 results in embryonic lethality by mid-gestation with defective extraembryonic vasculature. Our results illustrate that Irx1 and Irx2 play distinct dose-dependent cooperative functions during both the early and late stages of mouse development.

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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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)0.0020.001

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 head0.011
GPT teacher head0.235
Teacher spread0.223 · 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

Citations2
Published2022
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)Same topicCancer-related molecular mechanisms researchFrench-language works237,207