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Record W1976905010 · doi:10.1089/mab.2014.0043

Characterization of a Monoclonal Antibody Against CREPT, a Novel Protein Highly Expressed in Tumors

2014· article· en· W1976905010 on OpenAlexaff
Fangli Ren, Ruoke Wang, Yanquan Zhang, Chunxiao Liu, Yinyin Wang, Jim Hu, Linqi Zhang, Zhijie Chang

Bibliographic record

VenueMonoclonal Antibodies in Immunodiagnosis and Immunotherapy · 2014
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCancer-related gene regulation
Canadian institutionsSickKids FoundationHospital for Sick Children
FundersNational Natural Science Foundation of China
KeywordsMonoclonal antibodyAntibodyEpitopeGeneMolecular biologyBiologyGene expressionImmunologyGenetics

Abstract

fetched live from OpenAlex

CREPT (cell-cycle related and expression-elevated protein in tumor), a novel gene also called RPRD1B and C20ORF77, was recently identified to promote tumorigenesis through up-regulation of the expression of genes related to cell cycle. The previous study demonstrated that CREPT is highly expressed in a variety of tumors and enhances the expression of Cyclin D1 by promoting the formation of a chromatin loop. To study the correlation of CREPT expression with clinical factors in different tumors, we generated a monoclonal antibody (3E10) using purified recombinant human GST-CREPT protein as an antigen. In this study, we characterized the specificity of the monoclonal antibody and cloned the gene encoding the antibody for preparation of industrial production. Our results showed that the monoclonal antibody 3E10 was sensitive and specific to recognize human endogenous CREPT protein. We have mapped the epitope of the antibody and cloned the variable region sequence of the gene encoding the antibody. We confirmed that the cloned gene produced an equivalent antibody as that produced by the original hybridoma. This study provided a basis for large-scale production of the CREPT antibody, which will be useful for the study of the role of CREPT in different tumors.

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 categoriesMeta-epidemiology (narrow)
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 score0.301
Threshold uncertainty score1.000

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 head0.237
Teacher spread0.231 · 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.

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

Citations21
Published2014
Admission routes1
Has abstractyes

Explore more

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