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Record W2388130210

Cloning and Sequence Analysis of Lin28 Gene Coding Region from Sheep

2015· article· en· W2388130210 on OpenAlexaff
Sun Hong-ya

Bibliographic record

VenueChina Animal Husbandry & Veterinary Medicine · 2015
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Genetics and Reproduction
Canadian institutionsScience North
Fundersnot available
KeywordsBiologyGeneticsGeneHomology (biology)Sequence analysisPeptide sequenceGenBankMolecular biologyPhylogenetic treeNucleic acid sequence
DOInot available

Abstract

fetched live from OpenAlex

The assay was aimed to study the function of Lin28 gene of sheep,in this study,according to the Lin28 gene mRNA sequence of mice,pigs,cattles and human in GenBank,the degenerate primer was designed.Total RNA was extracted by Trizol from intestine of 100 dsheep embro,and CDS sequence of the gene was amplified by RT-PCR using the primer.Using a series of biosoftware such as DNAMAN,BioEdit and NCBI BLASTn,PlantsP,ScanProsite online and so on,we analyzed the homologies between nucleotide and deduced amino acid sequences,constructed phylogenetic tree,analyzed protein functional domains and deduced three-dimensional structure of amino acid sequence.The results showed that the sequence of sheep Lin28's CDS including stop codon,was in a length of 630 bp,encoded 209 amino acids.Analysis of homology showed that sheep Lin28 gene also shared 53.8%,55.2%,70.2%,88.3%,88.7%,89.2%,89.5%,90.5%,95.9% and 98.9% nucleotide homologies and 76.5%,67.9%,93.2%,99.3%,97.7%,99.3%,99.3%,98.5%,99.3% and 100.0% amino acid identities with Xenopus laevis,Danio rerio,Gallus gallus,Bos taurus,Equus caballus,Felis catus,Sus scrofa,Homo sapiens,Rattus norvegicus and Mus musculus,respectively.Two zinc finger domains and one cold shock domain could be found by bioinformatics analyzing.The successful cloning of Lin28 revealed that the gene in the structure and function was very conservative and helpful to study gene function and its role in somatic reprogramming in future.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.653
Threshold uncertainty score0.595

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 head0.083
GPT teacher head0.318
Teacher spread0.235 · 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
Published2015
Admission routes1
Has abstractyes

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